Table of Contents - UCSD Continuing Medical Education
Table of Contents - UCSD Continuing Medical Education
Table of Contents - UCSD Continuing Medical Education
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X V I I<br />
November 4-8, 2009<br />
World Congress <strong>of</strong><br />
PSYCHIATRIC<br />
GENETICS:<br />
Surfing the<br />
Wave <strong>of</strong><br />
Discovery<br />
Located at the Manchester Grand Hyatt in San Diego, CA
<strong>Table</strong> <strong>of</strong> <strong>Contents</strong><br />
PLENARY ABSTRACTS …………………………………………………………………………...3<br />
SYMPOSIA ABSTRACTS ………………………………………………………………………….12<br />
ORAL ABSTRACTS …………………………………………………………………………………..52<br />
POSTER ABSTRACTS<br />
ADHD …………………………………………………………………………………………..100<br />
EARLY CAREER INVESTIGATOR TRACK: ALTERNATIVE<br />
PHENOTYPES, GENE-GENE, AND GENE-ENVIRONMENT INTERACTION …...112<br />
ANIMAL MODELS ………………………………………………………………………...115<br />
ANXIETY DISORDERS ………………………………………………………………..118<br />
AUTISM …………………………………………………………………………………120<br />
EARLY CAREER INVESTIGATOR TRACK: CANDIDATE GENES …………………….124<br />
CANDIDATE GENES ………………………………………………………………………...127<br />
COGNITION …………………………………………………………………………………145<br />
DEMENTIA …………………………………………………………………………………147<br />
ENDOPHENOTYPES ………………………………………………………………………...148<br />
EPIGENETICS …………………………………………………………………………………155<br />
GENE X ENVIRONMENT INTERACTIONS ………………………………………………158<br />
GENETIC COUNSELING ………………………………………………………………..161<br />
GENETIC EPIDEMIOLOGY ………………………………………………………………..162<br />
EARLY CAREER INVESTIGATOR TRACK: GENOMEWIDE AND<br />
META-ANALYTIC APPROACHES ……………………………………………………….168<br />
GENOMICS …………………………………………………………………………………172<br />
HIGH THROUGHOUT SEQUENCING ……………………………………………………….180<br />
MOOD DISORDERS ………………………………………………………………………...180<br />
OTHER CHILDHOOD DISORDERS ……………………………………………………….199<br />
PERSONALITY AND TEMPERAMENT ………………………………………………200<br />
PHARMACOGENETICS ………………………………………………………………..205<br />
SCHIZOPHRENIA ………………………………………………………………………...214<br />
STATISTICS AND BIOINFORMATICS ………………………………………………239<br />
SUBSTANCE ABUSE ………………………………………………………………………...247<br />
LEGEND<br />
P – PLENARY<br />
S – SYMPOSIA<br />
O – ORAL<br />
ECI – EARLY CAREER INVESTIGATOR TRACK<br />
Page
PLENARY<br />
ABSTRACTS
P1.1 NEURONAL PLASTICITY AND<br />
NEURONAL DIVERSITY<br />
F. Gage* (1)<br />
1. The Salk Institute<br />
*gage@salk.edu<br />
The first part <strong>of</strong> the talk will focus on evidence supporting the<br />
birth and maturation <strong>of</strong> new neurons in the adult dentate gyrus<br />
<strong>of</strong> the hippocampus in the mammalian brain. The mechanism<br />
by which the cells integrate and become functional will be<br />
discussed. In addition, the potential functional significance for<br />
adult neurogenesis in the context <strong>of</strong> the normal function <strong>of</strong> the<br />
hippocampus will be discussed. In the second part <strong>of</strong> the talk I<br />
will focus on the recent finding that LINE-1 (Long<br />
Interspersed Nucleotide Elements-1 or L1) retroelements are<br />
active in somatic neuronal progenitor cells (NPCs) providing<br />
an additional mechanism for neuronal diversification.<br />
Together with their mutated relatives, retroelement sequences<br />
constitute 45% <strong>of</strong> the mammalian genome with L1 elements<br />
alone representing 20%. The fact that L1 can retrotranspose in<br />
a defined window <strong>of</strong> neuronal differentiation, changing the<br />
genetic information in single neurons in an arbitrary fashion,<br />
allows the brain to develop in distinctly different ways. This<br />
characteristic <strong>of</strong> variety and flexibility may contribute to the<br />
uniqueness <strong>of</strong> an individual brain. However, the molecular<br />
mechanism that regulates L1 expression in NPCs is not<br />
completely understood. L1s are likely silenced in neural stem<br />
cells due to Sox2-mediated transcription repression.<br />
Down-regulation <strong>of</strong> Sox2 accompanies chromatin<br />
modifications, such as DNA de-methylation and<br />
histone acetylation, which in turn may trigger neuronal<br />
differentiation. The characterization <strong>of</strong> somatic neuronal<br />
diversification will not only be relevant for the understanding<br />
<strong>of</strong> brain complexity and neuronal organization in mammals,<br />
but may also shed light on the differences in cognitive<br />
abilities.<br />
P1.2 GENETICS OF ALCOHOLISM<br />
G. Schumann* (1)<br />
1. Institute <strong>of</strong> Psychiatry<br />
*gunter.schumann@kcl.ac.uk<br />
Alcohol use disorders are common psychiatric disorders that<br />
exert a very high cost to the individual and to society. They<br />
are a result <strong>of</strong> the interplay <strong>of</strong> multiple behavioural, genetic<br />
and environmental factors. Addictive behaviour is<br />
characterized by phenotypic heterogeneity, epistasis and<br />
polygenicity, implying a contribution <strong>of</strong> different<br />
neurobiological mechanisms to the clinical diagnosis.<br />
Therefore, treatments for most addiction-related disorders are<br />
<strong>of</strong>ten only partially effective, with a substantial proportion <strong>of</strong><br />
patients failing to respond. To address heterogeneity and<br />
polygenicity, strategies have been developed to identify more<br />
homogeneous subgroups <strong>of</strong> patients and to characterize genes<br />
contributing to their (endo-) phenotype. In this presentation,<br />
gene identification strategies using whole genome approaches<br />
as well as translational candidate gene strategies to identify the<br />
genetic and neurobiological basis <strong>of</strong> addictive behaviour will<br />
be presented, their mechanistic function will be characterised<br />
and their association with endophenotypes relevant for<br />
addiction-related disorders will be described. Applying these<br />
strategies in a translational context aims at improving<br />
therapeutic response by the identification <strong>of</strong> subgroups <strong>of</strong><br />
addiction patients for individualized, targeted treatment<br />
strategies. Finally, a European Integrated Project "IMAGEN",<br />
which investigates reinforcement-related behaviour using<br />
multicentric gene × neuroimaging in 2000 adolescents will be<br />
presented. This project aims to integrate the methodical<br />
approaches discussed above in order to identify the genetic<br />
and neurobiological basis <strong>of</strong> behavioural traits relevant to the<br />
development <strong>of</strong> addictions.
P2 DIAGNOSTIC AND PREDICTIVE<br />
GENETIC TESTING IN PSYCHIATRY:<br />
POTENTIAL AND PITFALLS<br />
P2.1 HOW DO PATIENTS RESPOND TO RECEIPT OF<br />
RESULTS FOR A PSYCHIATRIC GENETIC TEST?<br />
P. Mitchell* (1), K. Wilhelm (1), B. Meiser (1), P. Sch<strong>of</strong>ield<br />
(2), G. Parker (1)<br />
1. University <strong>of</strong> New South Wales 2. Prince <strong>of</strong> Wales <strong>Medical</strong><br />
Research Institute<br />
*phil.mitchell@unsw.edu.au<br />
In 2006, we (Wilhelm et al) replicated the gene-environment<br />
interaction between the serotonin transporter gene and<br />
stressful life events in depression which had been reported by<br />
Caspi et al (2003). Although recent meta-analyses have failed<br />
to confirm such an interaction (Risch et al, 2009; Munafo et al,<br />
2009), our study <strong>of</strong> response <strong>of</strong> individuals to being informed<br />
<strong>of</strong> their “depression risk genotype” (Wilhelm et al, 2009), and<br />
that <strong>of</strong> Green et al (2009) in individuals at risk <strong>of</strong> Alzheimer<br />
Disease, nonetheless provide the only evidence hitherto <strong>of</strong> the<br />
response <strong>of</strong> individuals to an actual (i.e. non-hypothetical)<br />
situation <strong>of</strong> receiving results from psychiatric genetic<br />
testing. We assessed predictors <strong>of</strong> the impact <strong>of</strong> receiving<br />
individual genotype data in 128 participants in a study <strong>of</strong><br />
gene-environment interaction in depression onset. Two-thirds<br />
decided to learn their individual genotype results (receivers)<br />
and prior to disclosure this decision was associated with a<br />
perception <strong>of</strong> greater benefit from receipt <strong>of</strong> the information.<br />
Receivers completing the 2-week and 3-month follow-up<br />
generally reported feeling pleased with the information and<br />
having had a more positive experience than distress. However,<br />
distress was related to genotype, with those with the “high<br />
risk” s/s allele being most affected. Those who elected not to<br />
learn their results generally did so because <strong>of</strong> feared<br />
repercussions <strong>of</strong> being compelled to provide insurance<br />
companies or workplaces with this information. Overall,<br />
there was high interest in, and satisfaction with, learning about<br />
this putative depression risk genotype. The recent report <strong>of</strong><br />
Green et al in which children <strong>of</strong> patients with Alzheimer<br />
disease responded positively to receipt <strong>of</strong> their APOE<br />
genotype is in accordance with our findings with risk to<br />
depression.<br />
P2.2 COMMUNICATING WITH AFFECTED<br />
INDIVIDUALS AND THEIR FAMILIES<br />
ABOUT PSYCHIATRIC<br />
GENETIC TESTS<br />
J.<br />
Austin* (1)<br />
1.<br />
University <strong>of</strong> British Columbia<br />
* jehannine.austin@ubc.ca<br />
At present - and at least for the near future - the best method<br />
for predicting an individual’s risk to develop psychiatric<br />
illness is based on documenting a detailed family psychiatric<br />
history, and individualizing empiric recurrence risk data-based<br />
on the unique presenting situation. However, individuals with<br />
psychiatric disorders and their families have expressed interest<br />
in having genetic tests for psychiatric disorders as they<br />
become available. The vast majority <strong>of</strong> psychiatric genetic<br />
tests will (like the family history based method) yield<br />
probabilistic rather than definitive information about risk to<br />
develop psychiatric illness. Research shows that neither<br />
laypersons nor healthcare providers readily understand<br />
probabilistic genetic risk information. Further, in linking<br />
genetic testing with psychiatric disorders there is the potential<br />
for potentially significant negative consequences, such as<br />
increases in self-stigma, fatalism or risk taking. Facilitating<br />
accurate understanding <strong>of</strong> psychiatric genetic test results, their<br />
context and implications will be therefore, <strong>of</strong> paramount<br />
importance. Genetic counseling involves providing families<br />
affected by health conditions that have a genetic component<br />
(like psychiatric disorders) with education and support about<br />
the causes <strong>of</strong> the illness in the family, genetic testing,<br />
recurrence risks, and management. Although it has<br />
traditionally been thought <strong>of</strong> as primarily relevant to<br />
pregnancy, or to single gene disorders, the genetic counseling<br />
model is readily applied to individuals with psychiatric<br />
disorders and their families - whether or not they are actively<br />
engaged in family planning. In this presentation, the process <strong>of</strong><br />
discussing genetics and psychiatric disorders with affected<br />
families in order to promote perceptions <strong>of</strong> control over<br />
illness, decrease self-stigma, and facilitate accurate risk<br />
perception<br />
will be detailed from a practical perspective.
P2.3 ATTITUDES TOWARD GENETIC TESTING<br />
AMONG SCHIZOPHRENIA-SPECTRUM<br />
PATIENTS AND<br />
FIRST-DEGREE<br />
RELATIVES<br />
J.<br />
Hoop* (1)<br />
1.<br />
<strong>Medical</strong> College <strong>of</strong> Wisconsin<br />
* jhoop@mcw.edu<br />
Rationale: The development <strong>of</strong> clinically valid psychiatric<br />
genetic tests requires not only empirical data regarding tests’<br />
clinical utility, but also an awareness <strong>of</strong> and sensitivity to the<br />
likely psychosocial impact on those who are tested. The<br />
current study was designed to explore this issue by gathering<br />
data on the attitudes concerning genetic testing <strong>of</strong><br />
schizophrenia-spectrum patients and first-degree relatives.<br />
Methods: In-depth, face-to-face semi-structured interviews<br />
were conducted with 52 outpatients with schizophrenia or<br />
schizoaffective disorder and 50 first-degree relatives <strong>of</strong> people<br />
with these disorders. Patients also completed the Brief<br />
Symptom Inventory (BSI) measure <strong>of</strong> psychological distress.<br />
Results: Schizophrenia or schizoaffective disorder patients and<br />
family members expressed strongly positive attitudes toward<br />
pharmacogenetic and susceptibility genetic testing in a range<br />
<strong>of</strong> clinical scenarios, and expressed more interest in tests with<br />
greater physician involvement, accuracy, and predictive power<br />
(>67%). Patients with higher levels <strong>of</strong> psychological distress<br />
had significantly more positive attitudes toward testing<br />
(p
P3.1 EPIGENETIC APPROACHES TO<br />
COMMON<br />
DISEASE<br />
A.<br />
Feinberg* (1)<br />
1. Center for Epigenetics, Institute for Basic<br />
Biomedical<br />
Sciences<br />
and Department <strong>of</strong> Medicine<br />
* afeinberg@jhu.edu<br />
Epigenetics is the study <strong>of</strong> information, heritable during cell<br />
division, other than the DNA sequence itself, such as DNA<br />
methylation (DNAm), a covalent modification <strong>of</strong> cytosine.<br />
DNAm is an attractive target for study, because it is easily<br />
measured in archived samples from pre-existing large patient<br />
cohorts. It is now well established from gene-specific studies<br />
that epigenetic alterations are important in cancer, and linked<br />
to oncogene activation, tumor suppressor gene silencing, and<br />
chromosomal instability. We are taking an integrated approach<br />
to catalyze the generalization <strong>of</strong> gene-specific to genomic<br />
epigenetics, and to advance the focus in this field from cancer<br />
to neuropsychiatric disease. Doing this requires an integration<br />
<strong>of</strong> new conceptual, technological, epidemiological and<br />
statistical approaches. Population variation in epigenetic<br />
marks may be a predisposing factor for common disease,<br />
consistent with a “common disease genetic and epigenetic”<br />
(CDGE) model. A key element <strong>of</strong> our approach is the use <strong>of</strong><br />
Comprehensive High-throughput Arrays for Relative<br />
Methylation (CHARM), which examines ~4 million CpG sites<br />
throughout the genome without bias toward preconceived<br />
notions <strong>of</strong> where differential DNAm will be found. We made<br />
the surprising discovery <strong>of</strong> “CpG island shores,” regions <strong>of</strong><br />
intermediate CpG density near high-CpG “islands,” that are a<br />
major target for tissue- and disease-related epigenetic<br />
variation. We have also found population variation in the<br />
stringency <strong>of</strong> epigenetic marks that may be a predisposing<br />
factor for common disease. This work will likely provide an<br />
important added dimension to genetic studies <strong>of</strong> common<br />
disease, and may also provide insight into environmental<br />
and<br />
stochastic changes in the genome that<br />
contribute to<br />
neuropsychiatric<br />
disorders.<br />
P3.2<br />
TED REICH YOUNG INVESTIGATOR AWARD<br />
LECTURE<br />
RARE STRUCTURAL VARIANTS IN THE<br />
GENOME AND<br />
COMMON DISORDERS OF<br />
THE<br />
BRAIN<br />
J.<br />
Sebat* (1)<br />
1.<br />
Cold Spring Harbor Laboratory<br />
* sebat@cshl.edu<br />
Studies by our group and others have shown that variation in<br />
genome copy number (CNV) is a major source <strong>of</strong> genetic<br />
difference among humans and an important contributor to<br />
disease risk. Rare genomic deletions and duplications have<br />
been implicated in multiple neuropsychiatric disorders. In<br />
addition, several mutations have been identified that confer<br />
risk <strong>of</strong> more than one disorder. Thus, genetic heterogeneity is<br />
a characteristic <strong>of</strong> all neuropsychiatric disorders; conversely,<br />
phenotypic heterogeneity is a characteristic <strong>of</strong> all<br />
disease-associated mutations. Identifying and characterizing<br />
rare mutations will be essential to understanding<br />
the<br />
neurobiological<br />
pathways underlying disease.
P4 THE PSYCHIATRIC GWAS<br />
CONSORTIUM<br />
P4.1 CHALLENGES IN WORLD<br />
WIDE GENETIC<br />
ASSOCIATION<br />
STUDIES<br />
S.<br />
Ripke*<br />
* ripke@chgr.mgh.harvard.edu<br />
In this talk, we describe the development and refinement <strong>of</strong> a<br />
quality control pipeline for genome-wide association SNP<br />
data. This pipeline was developed at MGH in Boston for the<br />
Psychiatric GWAS Consortium Statistical Analysis Group.<br />
The aims <strong>of</strong> this pipeline are to conduct the quality control <strong>of</strong><br />
GWAS-SNP data, impute genotypes based on a reference<br />
sample, and combine the data for mega-analyses. The quality<br />
control steps include the capacity to identify relatives and<br />
overlapping samples in and across studies, as well as to<br />
produce principal components representing population<br />
variation to control for stratification in downstream-analysis<br />
and ancestry outlier exclusion. Through the use <strong>of</strong><br />
parallelization and massive computer clusters such as the GCC<br />
(Netherlands), preliminary results can be generated in as little<br />
as<br />
one week, even for study sizes <strong>of</strong> over 40,000 individuals.<br />
P4.2 PSYCHIATRIC GWAS CONSORTIUM:<br />
MEGA-ANALYSIS OF GWAS FOR MAJOR<br />
DEPRESSIVE DISORDER<br />
P.<br />
Sullivan* (1), Psychiatric GWAS Consortium<br />
1.<br />
UNC/Genetics<br />
* pfsulliv@med.unc.edu<br />
Major depressive disorder (MDD) is a common complex trait<br />
with enormous public health significance. As part <strong>of</strong> the<br />
Psychiatric GWAS Consortium, the MDD Working Group<br />
conducted a "mega-analysis" <strong>of</strong> individual level genotype and<br />
phenotype data from 9 genome-wide association studies <strong>of</strong><br />
MDD (approximately 12,000 cases and 12,000 controls). All<br />
cases were directly interviewed using a structured diagnostic<br />
instrument and met DSM-IV criteria for MDD. All controls<br />
were population-based and had never met criteria for MDD.<br />
Data files were uploaded to a cluster computer in the<br />
Netherlands and all samples run through a common quality<br />
control, imputation, and analysis pipeline. Careful attention<br />
was paid to investigating and addressing bias (particularly<br />
inflation <strong>of</strong> type 1 error due to population stratification). An<br />
interim mega-analysis <strong>of</strong> five samples has been completed,<br />
and the remaining four samples are scheduled for completion<br />
in September 2009. Final results are to be presented<br />
for the<br />
first<br />
time at the WCPG PGC plenary session.
P4.3 COMBINED "FREEZE 1"<br />
SCHIZOPHRENIA-GWAS ANALYSIS<br />
Psychiatric<br />
GWAS Consortium<br />
Due to the very small genetic effects in schizophrenia (SZ)<br />
and the large number <strong>of</strong> common variants in the human<br />
genome, the detection <strong>of</strong> susceptibility loci from genome-wide<br />
association studies (GWAS) requires large individual sample<br />
sizes. Moreover, combining datasets with available GWAS<br />
can substantially improve statistical power. Our goal is to<br />
perform a combined analysis <strong>of</strong> all available SZ GWAS data<br />
sets to detect new associations and to test for confirmation <strong>of</strong><br />
previously published ones. To be included in the analysis,<br />
each sample met stringent criteria for quality <strong>of</strong> phenotypic<br />
data and genotyping. The overall study information and<br />
quality, errors, missing data, population structure, and<br />
intra- and inter-study inflationary factors were assessed.<br />
After<br />
QC exclusions (including sample overlapping and<br />
population outliers), the combined dataset consisted <strong>of</strong> 10<br />
GWAS studies which included 17 independently collected<br />
clinical samples from Europe, North America, and Australia<br />
with a grand total <strong>of</strong> >12,200 cases and >9,300 controls<br />
<strong>of</strong><br />
European ancestry (Freeze 1). The primary affected<br />
phenotype was defined as either SZ or schizoaffective<br />
disorder. The association analysis is to be implemented<br />
according to a set <strong>of</strong> a priori decisions following the<br />
QC phase. A set <strong>of</strong> exploratory phenotypic analyses is also<br />
planned. The Freeze 1 sample includes the large majority <strong>of</strong><br />
the SZ case<br />
samples already studied by GWAS <strong>of</strong> the entire<br />
world.<br />
P4.4 META-ANALYSIS OF GENOME-WIDE<br />
ASSOCIATION STUDIES OF ATTENTION DEFICIT<br />
HYPERACTIVITY DISORDER<br />
B. Neale* (1), Psychiatric GWAS Consortium<br />
1. MGH<br />
*bmneale@gmail.com<br />
We present the first round <strong>of</strong> meta-analysis for Attention<br />
Deficit/Hyperactivity Disorder (ADHD) as conducted by the<br />
ADHD subgroup <strong>of</strong> the Psychiatric GWAS Consortium<br />
(PGC). The meta-analysis for ADHD is comprised <strong>of</strong> six<br />
different core genome-wide association studies: International<br />
ADHD Multisite Genetics (IMAGE) projects I, IMAGE II,<br />
PUMWa, CHOP, McGough, Eli Lilly for a total sample<br />
size <strong>of</strong> ~2,000 trios and 1,500 cases. These cases have been<br />
matched to shared control resources ensuring protection<br />
against population stratification through identity-by-state<br />
matching. For each <strong>of</strong> these datasets, we have applied a<br />
standardized quality control pipeline to ensure that the level <strong>of</strong><br />
cleaning. These studies have been completed on genome-wide<br />
arrays including Perlegen 600K platform, Affymetrix 5.0,<br />
Illumina 317K, and Illumina 610K, and so we performed<br />
imputation on each <strong>of</strong> these studies individually to facilitate<br />
the meta-analysis. We combined the test statistics for each <strong>of</strong><br />
these studies weighted by the effective sample size (as defined<br />
by power to detect a modest association) and the quality <strong>of</strong> the<br />
imputation. We present the top findings <strong>of</strong> this effort as well<br />
as describe the what sort <strong>of</strong> effects we are unlikely to be<br />
present for ADHD. In addition to the SNP results, we present<br />
the results from interrogating copy number variation across a<br />
subset <strong>of</strong> these datasets.
P4.5 THE PSYCHIATRIC GWAS CONSORTIUM FOR<br />
BIPOLAR DISORDER: SIGNIFICANT ASSOCIATION<br />
FOR MULTIPLE GENES<br />
J. Kelsoe* (1), The Psychiatric GWAS Consortium<br />
1. University <strong>of</strong> California, San Diego Dept. <strong>of</strong> Psychiatry<br />
*jkelsoe@ucsd.edu<br />
Early genomewide association studies <strong>of</strong> bipolar disorder were<br />
striking for their relative paucity <strong>of</strong> genomewide significant<br />
genes. This has suggested that common variants that<br />
predispose to bipolar disorder must be <strong>of</strong> small effect sizes<br />
and that very large samples would be necessary. The PGC-BD<br />
was formed in order to achieve such large sample sizes<br />
through collaboration. Eleven international sites have<br />
combined data from their GWAS studies to produce a<br />
combined sample <strong>of</strong> 6,806 Caucasian cases and 7,952<br />
controls. Analyses were conducted using PLINK and<br />
BEAGLE. SNPs were imputed to HapMap2, to integrate<br />
across the multiple genotyping platforms. After covarying for<br />
site, population stratification and R2, a genomic control<br />
lambda <strong>of</strong> 1.12 was obtained. Four regions achieved nominal<br />
genomewide significance (p
P4.7 CROSS-DISORDER WORKGROUP: TAKING<br />
DNA BEYOND DSM<br />
J. Smoller* (1), Cross Disorder Group<br />
1. Massachusetts General Hospital<br />
*jsmoller@hms.harvard.edu<br />
Over the past 25 years, genetic epidemiologic studies have<br />
provided compelling evidence for shared genetic influences on<br />
a range <strong>of</strong> psychiatric disorders. In addition, the common<br />
comorbidity <strong>of</strong> different diagnoses supports the hypothesis <strong>of</strong><br />
substantial overlap in the underlying biology <strong>of</strong><br />
clinically-defined syndromes. The vast scope <strong>of</strong> the PGC<br />
provides unprecedented power to examine and dissect the<br />
shared heritability underlying psychiatric disorders using<br />
genomewide data. The PGC’s Cross Disorder Group (CDG)<br />
was established to pursue this aim by coordinating and<br />
conducting meta-analyses to identify convincing<br />
genotype-phenotype associations that overlap or transcend<br />
traditional diagnostic phenotypes. In this presentation, we<br />
will discuss the scientific rationale for cross-disorder analyses,<br />
insights from genetic studies in other areas <strong>of</strong> medicine, and<br />
proposed analytic approaches. Cross-disorder analyses may<br />
answer fundamental questions about the genetic basis<br />
<strong>of</strong><br />
psychopathology and provide a crucial resource for<br />
developing an etiology-based nosology for psychiatry.
SYMPOSIA<br />
ABSTRACTS
S1 ANTIDEPRESSANT<br />
PHARMACOGENETICS: GWAS AND<br />
BEYOND<br />
S1.1 COMPARATIVE PHARMACOGENOMICS OF<br />
SEROTONERGIC AND NORADRENERGIC<br />
ANTIDEPRESSANTS: A GENOME-WIDE ANALYSIS<br />
OF THE GENDEP SAMPLE<br />
R. Uher* (1), N. Perroud (1), M. Ng (1), M. Rietschel (2), W.<br />
Maier (3), O. Mors (4), J. Hauser (5), N. Henigsberg (6), B.<br />
Jerman (7), D. Souery (8), A. Placentino (9), P. Muglia (10),<br />
A. Butler (1), S. Cohen-Woods (1), K. Aitchison (1), A.<br />
Farmer (1), I. Craig (1), C. Lewis (1), P. McGuffin (1)<br />
1. King’s College London 2. Central Institute <strong>of</strong> Mental<br />
Health, Mannheim 3. University <strong>of</strong> Bonn 4. Aarhus University<br />
Hospital 5. Poznan University <strong>of</strong> <strong>Medical</strong> Sciences 6.<br />
University <strong>of</strong> Zagreb 7. Jozef Stefan Institute, Ljubljana 8.<br />
Université Libre de Bruxelles and Psy Pluriel 9. Centro San<br />
Giovanni di Dio, FBF, Brescia 10. GlaxoSmithKline<br />
*rudolf.uher@kcl.ac.uk<br />
The substantial individual variability in response to<br />
antidepressants appears to be partially genetically determined,<br />
but functional candidate genes have little predictive power.<br />
We report a genome-wide association study with a continuous<br />
trait <strong>of</strong> antidepressant response, indexed as percentage<br />
improvement on a depression severity scale over 12 weeks <strong>of</strong><br />
treatment with either a serotonin-reuptake-blocking<br />
antidepressant escitalopram or a predominantly<br />
norepinephrine-reuptake-blocking antidepressant nortriptyline.<br />
High quality Illumina Human 610-quad chip genotyping was<br />
available for 706 unrelated participants <strong>of</strong> European ancestry<br />
treated with escitalopram (n=394) or nortriptyline (n=312) in<br />
the Genome-based Therapeutic Drugs for Depression<br />
(GENDEP) project. Two regions containing common copy<br />
number polymorphisms were associated with outcome <strong>of</strong><br />
treatment with either antidepressant at suggestive levels <strong>of</strong><br />
significance (p=3.8x10-7 and p=7.4x10-7). A marker in a<br />
neurogenesis-related gene was associated with response to<br />
nortriptyline at a genome-wide level <strong>of</strong> significance<br />
(p=3.6x10-8) and a predicted functional marker in a gene<br />
involved in immune response was the best predictor <strong>of</strong><br />
response to escitalopram (p=2.8x10-6). While limited<br />
statistical power means that a number <strong>of</strong> true associations may<br />
have been missed, these results suggest that efficacy <strong>of</strong><br />
antidepressants may be predicted by genetic markers other<br />
than traditional candidates. If replicated, these findings may be<br />
among the first steps on a genome-wide avenue towards<br />
personalized medicine for depression.<br />
S1.2 A GENOME-WIDE ASSOCIATION STUDY OF<br />
CITALOPRAM RESPONSE IN THE STAR*D SAMPLE<br />
S. Hamilton* (1), H. Garriock (1), J. Kraft (1), S. Shyn (1), E.<br />
Peters (1), J. Yokoyama (1), G. Jenkins (2), M. Reinalda (2),<br />
Slager (2), P. McGrath<br />
1. UCSF 2. Mayo Clinic<br />
*steve.hamilton@ucsf.edu<br />
Antidepressant response is likely influenced by genetic<br />
constitution, but the actual genes involved have yet to be<br />
determined. We have carried out a genome-wide association<br />
study to determine if common DNA variation influences<br />
antidepressant response. Our sample is derived from Level 1<br />
participants in the Sequenced Treatment Alternatives to<br />
Relieve Depression (STAR*D) study, all treated with<br />
citalopram. Association for the response phenotype included<br />
883 responders and 608 non- responders. For the remission<br />
phenotype, 743 subjects that achieved remission were<br />
compared to 608 non-responders. We used a subset <strong>of</strong> 430K<br />
SNPs from the Affymetrix 500K and 5.0 Human SNP Arrays,<br />
and association analysis was carried out after correcting for<br />
population stratification. We identified three SNPs associated<br />
with response with p-values less than 1 x 10-5 near the<br />
UBE3C gene, another 100kb away from BMP7, and a third<br />
that is intronic in the RORA gene. These same SNPs were<br />
also associated with remission. Thirty-nine additional SNPs<br />
are <strong>of</strong> interest with p-values ≤ 0.0001 for the response and<br />
remission phenotypes. Although the findings reported here do<br />
not meet a genome-wide threshold for significance, the<br />
regions identified from this study provide targets for<br />
independent replication and novel pathways to investigate<br />
mechanisms <strong>of</strong> antidepressant response. This study was not<br />
placebo controlled, making it possible that we are also<br />
observing associations to non-specific aspects <strong>of</strong> drug<br />
treatment <strong>of</strong> depression.
S1.3 FIVE YEAR FOLLOW-UP IN THE KAISER<br />
PERMANENTE GENES AND RESPONSE TO<br />
ANTIDEPRESSANTS (GRAD) STUDY<br />
C. Schaefer* (1), L. Shen (1), V. Reus (2), C. Quesenberry<br />
(1)<br />
1. Kaiser Permanente Division <strong>of</strong> Research 2. Department <strong>of</strong><br />
Psychiatry University <strong>of</strong> California San Francisco<br />
*cathy.schaefer@kp.org<br />
The GRAD study is a prospective cohort study <strong>of</strong> genetic and<br />
non-genetic factors associated with response to antidepressant<br />
treatment in an ethnically diverse cohort <strong>of</strong> 1,004 adults with<br />
major depression. Standard assessments <strong>of</strong> therapeutic<br />
response and side effects were completed at initiation, 4<br />
weeks, and 8 weeks after participants began pharmacotherapy<br />
with fluoxetine or paroxetine. After 8 weeks, 70% had<br />
responded with a 50% reduction in Hamilton Depression Scale<br />
scores. Approximately five years following the acute<br />
treatment phase <strong>of</strong> the study, 764 (76%) participants were<br />
re-interviewed and electronic medical records were abstracted<br />
to determine long term response to antidepressant treatment,<br />
including residual symptoms, episode recurrence, treatment<br />
resistance, and response to alternative medications. The<br />
follow-up study included the same proportion <strong>of</strong> responders<br />
(70%) and nonresponders (30%) as the acute treatment phase.<br />
Analyses <strong>of</strong> factors associated with therapeutic response after<br />
8 weeks, as well as with outcomes <strong>of</strong> treatment after five<br />
years, have been conducted for nongenetic factors and for<br />
variants in candidate genes related to current<br />
pharmacodynamic and pharmacokinetic hypotheses<br />
concerning response to SSRI antidepressants. A genome-wide<br />
association study is planned. This longitudinal investigation<br />
<strong>of</strong> the cohort’s subsequent syptomatology, episode recurrence,<br />
treatment adherence, and response to alternative drugs will<br />
serve to define a new set <strong>of</strong> phenotypic variables that more<br />
accurately reflect disease heterogeneity and may better relate<br />
to underlying genetic variation than variables derived from<br />
observations made during acute treatment alone.<br />
S1.4 A GENOMEWIDE ASSOCIATION STUDY<br />
POINTS TO MULTIPLE LOCI THAT PREDICT<br />
ANTIDEPRESSANT DRUG TREATMENT OUTCOME<br />
IN DEPRESSION<br />
S. Lucae* (1), M. Ising (1), E. Binder (1), T. Bettecken (1),<br />
M. Uhr (1), S. Ripke (1), M. Kohli (1), J. Hennings (1), S.<br />
Horstmann (1), S. Kloiber (1), A. Menke (1), B. Bondy (2), R.<br />
Rupprecht (2), K. Domschke (3), A. Rush (4), F. Holsboer (1),<br />
B. Mueller-Myhsok (1)<br />
1. Max Planck Institute <strong>of</strong> Psychiatry, Munich, Germany<br />
2. Department <strong>of</strong> Psychiatry, Ludwig Maximilians University,<br />
Munich, Germany 3. Department <strong>of</strong> Psychiatry, Westfalian<br />
Wilhelms University, Muenster, Germany 4. Department <strong>of</strong><br />
Psychiatry, University <strong>of</strong> Texas, Southwestern <strong>Medical</strong><br />
Center, Dallas, USA<br />
*lucae@mpipsykl.mpg.de<br />
The efficacy <strong>of</strong> antidepressant drug treatment is<br />
unsatisfactory; 1 in 3 patients does not fully recover even after<br />
several treatment trials. It was the aim <strong>of</strong> this study to identify<br />
genetic and clinical determinants <strong>of</strong> antidepressant drug<br />
treatment. We performed a genomewide pharmacogenetic<br />
association study in 339 depressed inpatients from the Munich<br />
Antidepressant Response Signature (MARS) project and in<br />
361 pooled DNAs from an independent German replication<br />
study. A set <strong>of</strong> 328 SNPs highly related to outcome in both<br />
studies was genotyped in 832 samples <strong>of</strong> the STAR*D study.<br />
We generated a multilocus genetic variable that described the<br />
individual number <strong>of</strong> alleles <strong>of</strong> the selected SNPs with<br />
beneficial treatment outcome in the MARS sample<br />
(“response” alleles) to evaluate additive genetic effects on<br />
antidepressant drug treatment outcome. Multilocus analysis<br />
revealed a significant contribution <strong>of</strong> a binary variable that<br />
categorized patients as carriers <strong>of</strong> a high vs. low number <strong>of</strong><br />
response alleles in the prediction <strong>of</strong> antidepressant treatment<br />
outcome in both samples (MARS and STAR*D). In addition,<br />
we observed that patients with a comorbid anxiety disorder<br />
combined with a low number <strong>of</strong> response alleles showed the<br />
least favourable outcome. These results demonstrate the<br />
importance <strong>of</strong> multiple genetic factors combined with clinical<br />
features in the prediction <strong>of</strong> antidepressant drug treatment<br />
outcome, which underscores the multifactorial nature <strong>of</strong> this<br />
trait.
S1.5 TOWARDS POPULATION-BASED<br />
ANTIDEPRESSANT PHARMACOGENOMICS<br />
R. Perlis* (1)<br />
1. Massachusetts General Hospital<br />
*rperlis@partners.org<br />
Recent genome-wide association studies in psychiatric<br />
disorders strongly suggest that very large cohorts will be<br />
required to detect the many common variants <strong>of</strong> modest<br />
effects which are likely to underlie psychiatric phenotypes.<br />
Individual large clinical trials may be insufficient to detect or<br />
replicate such variants, much less determine their clinical<br />
validity. An alternative approach makes use <strong>of</strong> large electronic<br />
medical records databases to identify subjects with the<br />
phenotypes <strong>of</strong> interest and obtain blood for DNA collection<br />
from them. Strategies to validate the outcomes <strong>of</strong> interest in<br />
these data sets and address sources <strong>of</strong> heterogeneity have been<br />
developed, allowing a novel cohort <strong>of</strong> 3,000 subjects treated<br />
for MDD to be collected. Such population-based approaches<br />
<strong>of</strong>fer a feasible, low-cost means <strong>of</strong> identifying genetic and<br />
clinical predictors <strong>of</strong> treatment response for psychiatric<br />
disorders.<br />
S2 DNA METHYLATION IN HUMAN BRAIN<br />
AND NEUROPSYCHIATRIC DISEASES<br />
S2.1 COMPREHENSIVE DNA METHYLATION<br />
ANALYSIS IN NEURONS AND NON-NEURONS FROM<br />
HUMAN POSTMORTEM BRAINS AND ITS<br />
APPLICATION TO MENTAL DISORDERS<br />
T. Kato* (1), K. Iwamoto (1)<br />
1. RIKEN Brain Science Institute<br />
*kato@brain.riken.jp<br />
The role <strong>of</strong> DNA methylation in the pathophysiology <strong>of</strong><br />
mental disorders has not been well established yet, in spite <strong>of</strong><br />
recent studies using a candidate gene approach or a<br />
comprehensive DNA methylation analysis in the brain. The<br />
brain is a heterogeneous tissue, and there may be substantial<br />
differences <strong>of</strong> DNA methylation status between cell types.<br />
Thus, we should clarify the DNA methylation difference<br />
between neurons and glial cells to search for the genes<br />
differentially methylated in the neurons <strong>of</strong> patients with<br />
mental disorders. For this purpose, we are analyzing the DNA<br />
methylation differences between neuronal and non-neuronal<br />
nuclei. After separating neuronal nuclei from frozen human<br />
brains using anti-NeuN antibody and fluorescent cell sorter,<br />
we performed comprehensive DNA methylation analysis<br />
using promoter tiling arrays and site-specific methylation<br />
analysis <strong>of</strong> about 1500 CpG sites using Illumina Golden Gate<br />
assays. Global methylation level was also assessed by a<br />
LUMA assay. Neuronal nuclei tended to be hypomethylated<br />
compared with non-neuronal nuclei, and methylation patterns<br />
<strong>of</strong> bulk brain tissue were more similar to the patterns in<br />
non-neuronal nuclei compared with neuronal nuclei. Genes<br />
commonly methylated both in neuronal and non-neuronal<br />
nuclei included genes related to cell-cycle. Neuronal- and<br />
non-neuronal nuclei showed distinctive DNA methylation<br />
patterns, compatible with their functional differences.<br />
Application <strong>of</strong> this method to patients with mental disorders<br />
will provide a clue to understand the role <strong>of</strong> epigenetics in<br />
mental disorders.
S2.2 DNA METHYLATION SIGNATURES WITHIN<br />
THE MAJOR DEPRESSIVE DISORDER BRAIN<br />
S. Sabunciyan (1), M. Aryee (1), R. Irizarry (1), M. Webster<br />
(4), R. Yolken (1), A. Feinberg (1), J. Potash* (1)<br />
1. Johns Hopkins School <strong>of</strong> Medicine 2. Uniformed Services<br />
University<br />
*jpotash@jhmi.edu<br />
Major depressive disorder (MDD) is influenced by genetic<br />
factors, but heritability has been estimated at 37%.<br />
Genome-wide association studies are ongoing to identify<br />
sequence variation that influences MDD susceptibility.<br />
Epigenetic marks, such as DNA methylation, which can be<br />
influenced by the environment, may also play a role in MDD<br />
etiopathogenesis. Here we present a genome-wide DNA<br />
methylation scan in MDD. We compared 39 postmortem<br />
MDD brain samples and 27 control brain samples, all<br />
prefrontal cortex, obtained from the Stanley <strong>Medical</strong> Research<br />
Institute. DNA from these samples was hybridized to our<br />
Comprehensive High-throughput Arrays for Relative<br />
Methylation (CHARM) platform. This 2.1 million probe<br />
platform assays 140,000 genomic GC-rich regions with an<br />
average <strong>of</strong> 15 probes per region. Smoothing is performed<br />
across each region to derive a single methylation value per<br />
region. Follow-up is being done using bisulfite<br />
pyrosequencing to validate results. Gene expression levels will<br />
be assayed by real-time RT-PCR for correlation with<br />
methylation patterns.<br />
S2.3 QTLS FOR GENE-SPECIFIC METHYLATION IN<br />
HUMAN BRAIN<br />
D. Zhang* (1), L. Cheng (1), J. Badner (1), C. Chen (1), D.<br />
Craig (2), M. Redman (2), E. Gershon (1), C. Liu (1)<br />
1. The University <strong>of</strong> Chicago 2. The Translational Genomic<br />
Research Institute<br />
*dandanz@uchicago.edu<br />
We have observed extensive inter-individual differences in<br />
DNA methylation at specific CpG sites in human adult<br />
cerebellum. To study genetic factors that might affect this<br />
variation we studied CpG sites <strong>of</strong> 14,495 genes, almost all<br />
from promoter regions. We performed a genome-wide single<br />
nucleotide polymorphism (SNP)-based association mapping<br />
for methylation Quantitative Trait Loci (mQTLs) in 153 adult<br />
cerebellum samples. Cis-association refers to methylation<br />
correlation with SNPs within 1 megabase <strong>of</strong> a CpG site. 1,923<br />
SNP-CpG pairs showed cis-association that was region-wide<br />
significant by permutation. Of these SNP-CpG pairs, 629 were<br />
also phenotype-wide significant (after additional permutation<br />
corrections for all the tested methylation phenotypes).<br />
Methylation level was negatively correlated with gene<br />
expression in the cerebellum for 14 <strong>of</strong> 15 genes with<br />
significant cis-association (FDR q value
S2.4 REGULATION AND FUNCTION OF CPG<br />
METHYLATION AND DNA METHYLTRANSFERASES<br />
IN POST-MITOTIC NEURONS<br />
R. Sharma* (1)<br />
1. University <strong>of</strong> Illinois at Chicago<br />
*rsharma@psych.uic.edu<br />
We know the domain structure, substrate preference,<br />
protein-protein interactions, and cellular expression pr<strong>of</strong>iles<br />
(including brain) <strong>of</strong> the major DNA methyltransferases. We<br />
also now know that DNA methyltransferases are demonstrably<br />
albeit variably expressed in the adult brain, and that global<br />
CpG methylation <strong>of</strong> brain DNA is abundant, dynamic,<br />
modular and possibly disease related. We also know that in<br />
individual gene studies, promoter CpG methylation can be<br />
modified in response to neuronal depolarization, behavioral<br />
and cognitive experimentation, and pharmacological<br />
treatments. And yet, remarkably little is known about the<br />
regulation/function <strong>of</strong> either CpG methylation or DNA<br />
methyltransferases in the post-mitotic neurons as in the<br />
developing or adult brain. We have approached this question<br />
by attempting to identify the cis-regulatory sequences<br />
upstream <strong>of</strong> the transcription start site (TSS) in postmitotic<br />
primary neuron cultures as a best approximation to their<br />
in-vivo regulation in brain neurons. In these studies, we are<br />
able to demonstrate a vigorous promoter activity with DNA<br />
protein interactions in the immediate region surrounding the<br />
TSS. Parallel studies have included a DNMT1 knockdown<br />
strategy in neurons, where we can demonstrate a role for DNA<br />
methytransferases in the regulation <strong>of</strong> candidate gene<br />
promoter methylation. Also, neuronal depolarization as a<br />
model <strong>of</strong> neuronal activity causes a decrease in DNMT1 and<br />
DNMT3a mRNA expression. The accumulating evidence<br />
suggests that the function and regulation <strong>of</strong> CpG methylation<br />
and DNA methyltransferases in neurons is partly unique to<br />
these post-mitotic cells.<br />
S2.5 CORRELATIONS BETWEEN GENE<br />
EXPRESSION AND DNA METHYLATION IN HUMAN<br />
BRAIN<br />
C. Chen* (1), D. Zhang (1), L. Cheng (1), J. Badner (1), E.<br />
Gershon (1, 2), C. Liu (1)<br />
1. Department <strong>of</strong> Psychiatry, The University <strong>of</strong> Chicago,<br />
Chicago, IL 60637 2. Department <strong>of</strong> Human Genetics, The<br />
University <strong>of</strong> Chicago, Chicago, IL 60637<br />
*chenchaor@gmail.com<br />
DNA methylation plays a critical role in the regulation <strong>of</strong> gene<br />
expression. Here, we studied the correlation <strong>of</strong> DNA<br />
methylation and gene expression at the genome level in the<br />
human brain. The methylation status <strong>of</strong> 27,578 CpG sites from<br />
14,495 genes in 153 cerebellum samples was measured in our<br />
lab using Illumina HumanMethylation27 BeadChips.<br />
Cerebellum gene expression data for 45 <strong>of</strong> these individuals<br />
were obtained from the Stanley <strong>Medical</strong> Research Institute<br />
Online Genomics Database, having been analyzed with<br />
Affymetrix Genechip Human Genome U95 Set. After<br />
eliminating covariate and batch effects, and excluding low<br />
quality data, we identified the CpG sites that were within 10kb<br />
<strong>of</strong> the transcription start site (TSS) <strong>of</strong> a gene measured on the<br />
expression array. Five hundred fifty-three CpG sites were<br />
located within 10 kb <strong>of</strong> one or more TSSs, resulting in 625<br />
CpG site-expression pairs for correlation analysis.<br />
Seventy-five nominally significant correlations were observed.<br />
Twenty-four <strong>of</strong> them remained significant after multiple test<br />
correction (FDR, q ≤ 0.05). Twenty <strong>of</strong> the 24 (83.3%)<br />
significant correlations were negative, as expected.<br />
Interestingly, at four CpG sites (16.7%), increased DNA<br />
methylation was associated with increased gene expression.<br />
We did not observe a significant correlation between gene<br />
expression and DNA methylation for imprinted genes.
S3 RISK VARIANTS THROUGH BIOLOGY<br />
TO TREATMENT: MAPPING THE<br />
CHALLENGES AND THE POTENTIAL<br />
S3.1 DELINEATING THE EFFECT ON SZ OF GWAS<br />
IDENTIFIED RISK ALLELES BASED ON<br />
NEUROPSYCHOLOGICAL PERFORMANCE.<br />
G. Donohoe* (1), J. Walters (2), D. Morris (1), L. Kaladjieva<br />
(3), A. Jablensky (3), M. Gill (1), M. O'Donovan (1), D.<br />
Rujescu (4), M. Owen (2), A. Corvin (1)<br />
1. Trinity College Dublin 2. Cardiff University 3. University<br />
<strong>of</strong> Western Australia 4. Munich University<br />
*donoghug@tcd.ie<br />
Recent SZ genome wide association studies have led to the<br />
identification <strong>of</strong> several new risk loci for the disorder. The<br />
biological role <strong>of</strong> these variants is largely unknown, making<br />
an understanding <strong>of</strong> the neural mechanisms they control a<br />
priority. One approach to this question is the cognitive<br />
intermediate or endophenotype approach. This was originally<br />
proposed as a method <strong>of</strong> gene discovery but increasingly is<br />
used as a means <strong>of</strong> identifying the neural mechanisms by<br />
which risk is conferred. The endophenotype strategy in<br />
psychiatric genetics is based on a number <strong>of</strong> critical (and<br />
criticised) assumptions, including the unproven assumption<br />
that it is located on the risk pathway between illness<br />
phenotype and genotype, thus acting to either mediate or<br />
modify risk. If this is unlikely for all risk variants, then<br />
distinguishing between those variants whose risk is<br />
cognitively mediated from variants that are not will be<br />
informative about the neural mechanism underlying this risk.<br />
Demonstrating its utility, we will present data on the<br />
application <strong>of</strong> this approach to first allele to have received<br />
genome wide support for psychosis: The Zinc Finger Protein<br />
804A gene (ZNF804A), which is brain-expressed but <strong>of</strong><br />
unknown function. We tested for association between<br />
ZNF804A rs1344706 and cognitive functions known to be<br />
impaired in schizophrenia (IQ, episodic memory, working<br />
memory, and attentional control) in an Irish discovery sample.<br />
We then tested significant results in a German replication<br />
sample. We observed an interaction between ZNF804A<br />
genotype and diagnosis for measures <strong>of</strong> episodic and working<br />
memory in the Irish patient sample but not controls. These<br />
findings replicated in the same direction in the German<br />
sample. Furthermore, in both samples the association between<br />
ZNF804A and schizophrenia strengthened when patients with<br />
lower general cognitive function were excluded. We conclude<br />
from these data that in a disorder characterized by<br />
heterogeneity, a risk variant at ZNF804A appears to delineate<br />
a patient subgroup characterized by relatively spared cognitive<br />
ability. Further work is required to establish if this represents a<br />
discrete molecular pathogenesis that differs from other patient<br />
groups and whether this also has consequences for nosology,<br />
illness course or treatment.<br />
S3.2 THE EFFECTS OF RISK VARIANTS ON BRAIN<br />
STRUCTURE, FUNCTION AND CONNECTIVITY<br />
A. Macintosh<br />
S3.3 MUTANT MOUSE MODELS:<br />
PSYCHOPATHOLOGY AND TRANSLATIONAL<br />
PSYCHOPHARMACOLOGY<br />
J. Waddington* (1), C. O'Tuathaigh (1)<br />
1. Royal College <strong>of</strong> Surgeons in Ireland<br />
*jwadding@rcsi.ie<br />
In the face <strong>of</strong> the complexity <strong>of</strong> psychiatric disorders, the<br />
etiology <strong>of</strong> which likely involves a combination <strong>of</strong> genetic and<br />
environmental factors, a number <strong>of</strong> key technologies are<br />
converging: for example, identification <strong>of</strong> putative<br />
susceptibility genes through GWAS and CNV studies leads to<br />
investigation <strong>of</strong> the behavioural roles <strong>of</strong> these genes by<br />
targeted manipulation in mice and their phenotypic<br />
characterisation (‘gene-driven’ approach); in a complementary<br />
manner, identification <strong>of</strong> putative pathophysiological<br />
processes and indicative therapeutic pathways leads to<br />
investigation <strong>of</strong> behavioural phenotype in mice mutant for<br />
genes regulating such processes and pathways<br />
(‘phenotype-driven’ approach). There are many challenges in<br />
mutant phenotyping as it relates to models <strong>of</strong><br />
psychopathology, underlying brain mechanisms and<br />
psychopharmacological pr<strong>of</strong>iling, and in translating findings<br />
in mutants to the identification <strong>of</strong> novel therapeutic targets.<br />
Recent studies relating to psychosis particularly illustrate these<br />
issues. Gene x environment and gene x gene interactions<br />
constitute additional problems. Despite rapid advances over<br />
the past several years, it is clear that we continue to face<br />
substantive challenges in applying mutant models to better<br />
understand the genetics <strong>of</strong> psychopathology. However, the<br />
breadth and depth <strong>of</strong> ongoing studies holds the prospect<br />
<strong>of</strong> progress. The authors' studies are supported by Science<br />
Foundation Ireland and the Health Research Board.
S3.4 SCHIZOPHRENIA PATHOGENESIS: INSIGHTS<br />
FROM ETIOLOGICALLY VALID MOUSE MODELS<br />
OF RARE DISEASE VARIANTS<br />
J. Gogos* (1)<br />
1. Columbia University<br />
*jag90@columbia.edu<br />
Genetic variation influences the risk for and manifestation <strong>of</strong><br />
mental illnesses. In light <strong>of</strong> recent genetic advances,<br />
psychiatric genetics is currently at a crossroads concerning<br />
how to efficiently translate genetic findings into meaningful<br />
insights for disease prevention and treatment. Teasing apart<br />
the contribution <strong>of</strong> genetic variants to neural development and<br />
function, and ultimately disease risk, necessitates the use <strong>of</strong><br />
model systems. In order for mutant animal models to uncover<br />
a genuine pathogenetic link between a candidate gene and<br />
disease risk, the association <strong>of</strong> the genetic variant must be<br />
unequivocal, its functional effect known and the risk allele<br />
modeled accurately. Studies assessing rare variants have<br />
identified specific, causative and highly penetrant<br />
schizophrenia-associated alleles. These rare alleles are far<br />
more likely to have deleterious functional consequences than<br />
common alleles due to clear effects on gene products. As a<br />
result they can be faithfully modeled in mice and have higher<br />
potential for revealing genuine insights into disease<br />
pathogenesis. In this talk we review results from the study <strong>of</strong><br />
mouse models <strong>of</strong> rare schizophrenia-associated structural<br />
variants generated and characterized in our lab. We found that<br />
rare disease-associated variants result in specific impairments<br />
in cognition and brain connectivity and identified some <strong>of</strong> the<br />
molecular and cellular/synaptic processes underlying these<br />
impairments. The latter can serve as substrates for novel drug<br />
development efforts.<br />
S3.5 ESTABLISHMENT OF A METHOD FOR<br />
HIGH-THROUGHPUT FUNCTIONAL SCREENING OF<br />
PATIENT REGULATORY & CODING VARIANTS IN<br />
MICE<br />
J. Schmouth (1, 2), R. Bonaguro (1), C. de Leeuw (1, 3), L.<br />
Dreolini (4), R. Holt (4, 5, 6), E. Simpson* (1, 3, 5)<br />
1. Centre for Molecular Medicine and Therapeutics at the<br />
Child & Family Research Institute, University <strong>of</strong> British<br />
Columbia, Vancouver, Canada 2. Genetics Graduate Program,<br />
University <strong>of</strong> British Columbia, Vancouver, Canada 3.<br />
Department <strong>of</strong> <strong>Medical</strong> Genetics, University <strong>of</strong> British<br />
Columbia, Vancouver, Canada 4. Canada's Michael Smith<br />
Genome Sciences Centre, British Columbia Cancer Agency,<br />
Vancouver, Canada 5. Department <strong>of</strong> Psychiatry, University<br />
<strong>of</strong> British Columbia, Vancouver, Canada 6. Department <strong>of</strong><br />
Molecular Biology and Biochemistry, Simon Fraser<br />
University, Burnaby, Canada<br />
*simpson@cmmt.ubc.ca<br />
Large scale association studies and deep sequencing are<br />
generating huge numbers <strong>of</strong> human variants for which the<br />
functional significance is unknown. Traditionally, the mouse<br />
is the in vivo model in which to assay candidate human<br />
mutations. However, standard mouse approaches do not<br />
effectively address the challenges <strong>of</strong> this dataset: many <strong>of</strong> the<br />
mutations may be regulatory, not coding; variant-phenotypic<br />
effect may be small; and most variants will not be mutations.<br />
We propose an approach that addresses these issues. A human<br />
BAC, >100 kb including the gene <strong>of</strong> interest and variant<br />
region, is “recombineered” to carry the candidate variant. The<br />
BAC is also retr<strong>of</strong>itted for homologous recombination at a<br />
locus 5' <strong>of</strong> the Hprt1 gene in ESCs, and mice derived. Since<br />
each variant will be studied without copy number or site <strong>of</strong><br />
insertion variation, direct functional comparisons can be made.<br />
Because the human allele is not located at the homologous<br />
mouse locus, the variant can be tested in the presence <strong>of</strong> two,<br />
one, or no mouse alleles. The latter, in which brain<br />
development and function are entirely dependent upon the<br />
human allele, may best reveal subtle Wt versus variant<br />
differences. Currently in testing are variants <strong>of</strong> NR2E1; a gene<br />
critical for neural stem cell function and “associated” with<br />
bipolar disorder. Germline animals carrying the Wt human<br />
allele have been obtained and variants are in chimeras and<br />
ESCs. Thus, we will test the functional significance <strong>of</strong> human<br />
NR2E1 variants and provide “pro<strong>of</strong> in principle” for this<br />
approach to test other gene variants.
S3.6 PROMOTION OF SYNAPTIC AND CIRCUIT<br />
MATURATION PARTIALLY REVERSES SYMPTOMS<br />
IN A MOUSE MODEL OF RETT SYNDROME<br />
D. Tropea* (1, 2), E. Giacometti (3), N. Wilson (2), R.<br />
Iaenisch (3), M. Sur (2)<br />
1. Trinity College Dublin 2. MIT 3. Whitehead Institute<br />
*tropea@mit.edu<br />
Rett Syndrome (RTT) is a neurodevelopmental disorder<br />
caused by mutations in the gene coding for methyl<br />
CpG-binding protein 2 (MECP2). We examined the<br />
hypothesis that MeCP2 deficiency leads to a deficit in the<br />
maturation <strong>of</strong> synapses and circuits in the cerebral cortex <strong>of</strong><br />
MeCP2 null mice. Consistent with the hypothesis, we found<br />
reductions in synaptic amplitudes measured by patch clamp<br />
recording from motor cortex neurons, reductions in the<br />
postsynaptic density protein PSD95 in motor cortex measured<br />
with immunohistochemistry, and reductions in the density <strong>of</strong><br />
spines on motor cortex neurons. An in vivo assay <strong>of</strong> synapse<br />
maturation and developmental plasticity in visual cortex<br />
revealed that synapses had abnormally prolonged plasticity in<br />
MeCP2 null mice. Microarray analyses have shown that the<br />
Insulin-like Growth Factor 1 (IGF-1) signaling pathway has a<br />
key role in the stabilization and maturation <strong>of</strong> cortical<br />
synapses. Thus, we reasoned that upregulation <strong>of</strong> the IGF-1<br />
pathway would reverse symptoms in MeCP2 null mice.<br />
Systemic treatment <strong>of</strong> young MeCP2 mutant mice with an<br />
active fragment <strong>of</strong> IGF-1 increased synaptic amplitudes,<br />
upregulated cortical PSD95 and stabilized cortical plasticity to<br />
wild-type levels. In addition, the treatment extended the life<br />
span <strong>of</strong> the mutant mice, partially restored regularity in heart<br />
rate and breathing, and improved locomotor function. Our<br />
results suggest that truncated or full-length IGF-1 are<br />
promising candidates for pharmacological treatment <strong>of</strong> Rett<br />
Syndrome, and potentially <strong>of</strong> other CNS disorders caused by<br />
delayed synaptic maturation. A similar approach can be used<br />
for studying the molecular mechanisms and potential therapies<br />
<strong>of</strong> other neurodevelopmental disorders, such as Autism<br />
Spectrum Disorders (ASD) and schizophrenia.<br />
S4 GENOME-WIDE ASSOCIATION STUDIES<br />
ON MAJOR DEPRESSION: WHAT’S NEXT?<br />
S4.1 GENOME-WIDE ASSOCIATION STUDIES IN<br />
MAJOR DEPRESSION. THE ROLE OF<br />
ENDOPHENOTYPES<br />
W. Hoogendijk* (1), P. Sullivan (2), Z. Bochdanovits (3), M.<br />
Bevova (3), S. Woudstra (4), B. Penninx (4), P. Heutink (3)<br />
1. Dept. Psychiatry, VU University <strong>Medical</strong> Center 2.<br />
Department <strong>of</strong> Genetics, Psychiatry, & Epidemiology, UNC<br />
Chapel Hill, Department <strong>of</strong> Genetics, USA 3. Section <strong>Medical</strong><br />
Genomics, Department <strong>of</strong> Clinical Genetics, VU <strong>Medical</strong><br />
Center, Amsterdam, the Netherlands 4. Department <strong>of</strong><br />
Psychiatry, Neuroscience Campus VU medical center<br />
Amsterdam, the Netherlands<br />
*w.hoogendijk@ggzingeest.nl<br />
According to the WHO, depression will be the second leading<br />
cause <strong>of</strong> disability worldwide by 2020. Diagnostic accuracy<br />
and prediction <strong>of</strong> treatment-outcome is limited by subjective<br />
phenotypic assessments and would strongly benefit from<br />
biological endophenotypes, together with<br />
genome-wide genotyping. Gene-expression <strong>of</strong> peripheral<br />
blood cells, measured as RNA concentrations, is the<br />
endophenotype that is most proximal to the genotype. The<br />
endophenotype that is most proximal to the brain disorder<br />
is brain structure and function, assessed<br />
using (functional) magnetic resonance imaging (fMRI).<br />
Recent data from our campus in twins concordant or<br />
discordant for depression and anxiety have indicated that<br />
abnormal responses to emotional stimuli are associated<br />
primarily with genetic factors, whereas hippocampal atrophy<br />
was observed only in discordant twins and is therefore likely<br />
to be due to environmental factors. Several studies have tried<br />
to associate individual candidate genes with neuroimaging<br />
data as endophenotype. However, results are inconclusive,<br />
especially concerning depression. Recently, a genome wide<br />
association study (GWAS) for MDD was performed on<br />
subjects from Netherlands study on depression and anxiety<br />
(NESDA) and the Netherlands twin register (N= 1738 cases<br />
and 1802 controls). Eleven SNPs within the top 200 smallest<br />
p-values appeared to be within to the presynaptic piccolo<br />
(PCLO) gene (Sullivan et al., Mol. Psychiatry 2009). Here, we<br />
report on preliminary results on the association <strong>of</strong> these PCLO<br />
SNPs with endophenotypes like brain morphology and<br />
activity in depressed subjects compared to healthy controls.
S4.2 GENOME-WIDE ANALYSIS IN MAJOR<br />
DEPRESSION - AND NOW?<br />
B. Müller-Myhsok* (1)<br />
1. MPI Psychiatry, Munich<br />
*bmm@mpipsykl.mpg.de<br />
Major Depression is a common disorder with a heritable<br />
component clearly established. However, conventional<br />
association studies, including GWAs, have shown<br />
comparatively little success. This apparent lack <strong>of</strong> success<br />
may be related to an overly simplistic underlying model. Thus<br />
a refined model or additional data might be necessary. These<br />
additional aspects include gene by gene, gene by environment<br />
interaction, rare variants, especially CNVs and animal models.<br />
In the second part <strong>of</strong> my talk I will focus on gene by<br />
environment interaction.<br />
S4.3 MICE THEN HUMANS: A COMPLEMENTARY<br />
APPROACH TO DISSECTING THE BIOLOGY OF<br />
MDD<br />
P. Sullivan* (1)<br />
1. UNC/Genetics<br />
*pfsulliv@med.unc.edu<br />
It is possible that the etiological underpinnings <strong>of</strong> major<br />
depressive disorder (MDD) are more intricate than for other<br />
complex traits. The phenotype may blend into normalcy,<br />
etiological heterogeneity could be marked, genetic effects may<br />
be very subtle, and gene-environment interactions may be<br />
particularly salient. If true, then sample size requirements in<br />
humans for unbiased, genome-wide studied are prohibitively<br />
large. In this talk, I will describe an alternative approach. With<br />
Drs Lisa Tarantino, Fernando Pardo-Manuel de Villena and<br />
UNC colleagues, we have recently received a NHGRI center<br />
<strong>of</strong> excellence award to attempt to dissect MDD-like behaviors<br />
in mouse. This work is made possible due to the development<br />
<strong>of</strong> a new systems biology platform, the Collaborative Cross,<br />
along with advances in mouse genomics (e,g. a new<br />
Affymetrix mouse GWAS array) and dense phenotyping.<br />
Central to our study is an experimental manipulation to assess<br />
the impact <strong>of</strong> stressful environments and gene-environment<br />
interactions on MDD-like behaviors. The fundamental idea is<br />
to screen the vast number <strong>of</strong> possible genetic and<br />
gene-environment effects to derive a far smaller number <strong>of</strong><br />
models. High probability models can then be tested in human<br />
samples. This approach will yield a detailed understanding <strong>of</strong><br />
MDD-like mouse behavior, and the applicability <strong>of</strong> these<br />
models can then be tested in humans.<br />
S4.4 GENOME-WIDE PREDICTION OF FUNCTIONAL<br />
GENE-GENE INTERACTIONS FOR DEPRESSION<br />
Z. Bochdanovits* (1)<br />
1. VU <strong>Medical</strong> Center<br />
*z.bochdanovits@vumc.nl<br />
The contribution <strong>of</strong> individual risk factors to complex<br />
disorders is modest and current strategies aimed at identifying<br />
such susceptibility genes in very large case-control studies are<br />
still thought to be underpowered. One biologically obvious<br />
reason why susceptibility genes would be difficult to identify<br />
based on searching for their main effects alone is that in reality<br />
they might work together in a non-additive fashion, i.e. the<br />
risk is actually conveyed by specific combinations <strong>of</strong> such<br />
factors. Although this possibility is widely acknowledged, a<br />
full screen for epistatic effects on a genome-wide scale is<br />
unfeasible because statistical power would be seriously<br />
compromised by correcting for multiple testing. One possible<br />
way to avoid this problem is to ascertain pairs <strong>of</strong> variants that<br />
a priori are more likely to be involved in functional gene-gene<br />
interactions and test only these for association with a complex<br />
phenotype. Classical population genetic theory predicts that<br />
linkage disequilibrium (LD) between interacting loci will<br />
emerge if the phenotype affected by the combination <strong>of</strong> loci is<br />
under selection. Consequently, ascertainment <strong>of</strong> gene-pairs<br />
based on deviation from two-locus equilibrium genotype<br />
frequency could predict functional interactions. We applied<br />
this approach to multiple genome-wide datasets and propose<br />
gene-pairs that are potentially involved in conveying<br />
susceptibility to depression.
S4.5 DISCOVERY AND TESTING OF DELETIONS<br />
FOR ASSOCIATION WITH MDD IN GAIN STUDY<br />
M. Bevova*(1), Z. Bochdanovits (1), E. de Geus (2), G.<br />
Willemsen (2), B. Penninx (2), D. Boomsma<br />
(2), W. Hoogendijk (2), P. Heutink (1)<br />
1. VUMC 2. VU<br />
*m.bevova@vumc.nl<br />
GWAS on major depressive disorder (MDD) had been<br />
performed in the frame <strong>of</strong> six initial Genetic Information<br />
Network studies. This study was conducted in GAIN-MDD<br />
cohort comprised <strong>of</strong> 1738 MDD cases and 1802 controls<br />
genotyped for around 435 000 SNPs using a Perlegen array.<br />
There are different methods <strong>of</strong> discovering CNVs in<br />
genome-wide data sets. Most methods based on intensity<br />
differences between SNP alleles allowing detection <strong>of</strong> CNV<br />
gains and losses. A chemistry <strong>of</strong> the Perlegen platform<br />
however, do not allow to distinguish intensity differences and<br />
therefore CNV gains, but we still have the opportunity to<br />
identify CNV losses (deletions). Several approaches based on<br />
violation <strong>of</strong> Hardy–Weinberg or Mendelian transmission as<br />
well as on non random distribution <strong>of</strong> null genotypes enable to<br />
identify deletions from genotype data only. We developed an<br />
algorithm there we first used 30 trios from GAIN-MDD cohort<br />
to discover deletions using MICRODEL s<strong>of</strong>tware and then we<br />
use runs <strong>of</strong> homozygosity and stretches <strong>of</strong> missing genotypes<br />
in the GAIN MDD unrelated cohort as a footprint for possible<br />
deletions in genotyping data as defined by adjusted settings <strong>of</strong><br />
PLINK s<strong>of</strong>tware. Detected runs <strong>of</strong> homozygosity and missing<br />
genotypes for each individual will be compared with the CNV<br />
dataset obtained from trio data. Individuals having either runs<br />
<strong>of</strong> homozygosity or missing genotypes overlapping with<br />
deletion identified by MICRODEL s<strong>of</strong>tware in trios are<br />
considered as having a deletion in this region. For the<br />
identified deletions with frequencies >1% association studies<br />
with MDD as a main outcome has been performed.<br />
S5 NEW INSIGHTS FROM STUDIES OF<br />
RARE STRUCTURAL VARIATION IN<br />
PSYCHIATRIC DISORDERS<br />
S5.1 SCHIZOPHRENIA: A COMMON DISEASE DUE<br />
TO MULTIPLE RARE ALLELES?<br />
M. King (1), J. McClellan (1)<br />
1. University <strong>of</strong> Washington<br />
Objectives: To review the role <strong>of</strong> rare structural variants in<br />
persons with schizophrenia. Methods: We screened<br />
genome-wide for genomic deletions and duplications in 150<br />
individuals with schizophrenia and 268 ancestry-matched<br />
healthy controls, using array CGH technology. We focused on<br />
rare mutations <strong>of</strong> size >100kb that disrupted genes, that were<br />
only detected in cases or in controls, and that were not<br />
reported in the Database <strong>of</strong> Genomic Variants (DGV). Results:<br />
Individuals with schizophrenia were significantly more likely<br />
to harbor rare deletions and duplications mutations than<br />
healthy controls (15% vs 5%, P = 0.0008). This risk was even<br />
higher in patients with onset <strong>of</strong> illness by age 18 years <strong>of</strong> age<br />
(20% vs 5%, P = 0.0001). Each affected individual harbored a<br />
different mutation that impacted different genes. Mutations in<br />
cases disproportionally disrupted genes involved in<br />
neurodevelopment, including neuregulin and glutamate<br />
pathways (Walsh et al., Science 2008). Independent groups<br />
have since confirmed and extended these findings (Xu et al.,<br />
2008; Stefansson et al., 2008; International Schizophrenia<br />
Consortium, 2008; Need et al., 2009). Our present work<br />
extends these experiments to rare small structural variants and<br />
to rare point mutations. Conclusions: Individuals with<br />
schizophrenia are more likely than healthy persons to harbor<br />
rare structural events that delete, duplicate, or disrupt genes.<br />
These results suggest that a substantial portion <strong>of</strong><br />
schizophrenia arises from rare mutations, either de novo or<br />
very recent in origin. This degree <strong>of</strong> genetic heterogeneity has<br />
important implications for genetic and treatment research.
S5.2 DELETIONS IN NRXN1 IN SCHIZOPHRENIA<br />
G. Kirov* (1), D. Rujescu (2), A. Ingason (3), D. Collier (4),<br />
M. O'Donovan (1), M. Owen (1)<br />
1. MRC Centre for Neuropsychiatric Genetics and Genomics,<br />
School <strong>of</strong> Medicine, Cardiff University, Heath Park, Cardiff,<br />
CF14 4XN, United Kingdom 2. Division <strong>of</strong> Molecular and<br />
Clinical Neurobiology, Dept. <strong>of</strong> Psychiatry, University <strong>of</strong><br />
Munich, Germany 3. Research Institute <strong>of</strong> Biological<br />
Psychiatry, Mental Health Center Sct. Hans, Copenhagen<br />
University Hospital, Roskilde, Denmark 4. Social, Genetic and<br />
Developmental Psychiatry Centre, Institute <strong>of</strong> Psychiatry,<br />
King's College, London, UK<br />
*kirov@cardiff.ac.uk<br />
Several studies have implicated deletions in NRXN1 in the<br />
aetiology <strong>of</strong> schizophrenia. Similar findings are also available<br />
in the literature on autism. We have conducted a joint analysis<br />
on all available studies on CNVs in schizophrenia, in order to<br />
assess the significance <strong>of</strong> these reports. At the time <strong>of</strong> writing<br />
there are 7 studies that have published data on<br />
non-overlapping samples. The total number <strong>of</strong> subjects studied<br />
have been 7,935 patients with schizophrenia, and 41,234<br />
controls. We re-analysed all available data for CNVs >100kb,<br />
in order to make all studies comparable. We find 15 deletions<br />
in cases (0.19%) and 17 in controls (0.04%). This corresponds<br />
to a Fisher Exact Test p=0.000047; OR 4,59; 95% CI<br />
2,29-9.17. The results are very similar for those CNVs that<br />
disrupt exons (12 in cases and 9 in controls). We conclude that<br />
the association for NRXN1 deletions in schizophrenia is<br />
strongly supported by the evidence. However, more samples<br />
should be analysed, and higher-resolution platforms should be<br />
used in future studies, in order to confirm the findings and<br />
identify which deletions are pathogenic.<br />
S5.3 VERY RARE CNVS ASSOCIATED WITH<br />
BIPOLAR DISORDER<br />
D. Zhang (1), C. Liu (1), E. Gershon* (1)<br />
1. University <strong>of</strong> Chicago<br />
*egershon@yoda.bsd.uchicago.edu<br />
With the paucity <strong>of</strong> significant associations from GWAS<br />
analyses <strong>of</strong> Schizophrenia and Bipolar disorder, the<br />
underlying common-variant association model has been called<br />
into question. Rare variants such as Copy Number Variations<br />
(CNVs) could account for some <strong>of</strong> the missing variance<br />
(difference between heritability in twin studies and variance<br />
accounted for by GWAS). Comparative intensity <strong>of</strong><br />
hybridization (or similar) signal at each locus studied with<br />
GWAS chips can be used to detect CNVs. The size <strong>of</strong> CNVs<br />
that are reliably detectable is limited because <strong>of</strong> the average 3<br />
kb distance between markers. There are batch effects and<br />
other artifacts <strong>of</strong> microarray data, and the s<strong>of</strong>tware used for<br />
analyzing intensity data (CEL files in the Affymetrix system)<br />
and calling CNVs varies in accuracy. Bipolar disorder: GWAS<br />
data was analyzed to detect CNVs in 1001 cases and 1034<br />
controls from the Bipolar Genome Study (BiGS), using the<br />
Affymetrix single nucleotide polymorphism (SNP) 6.0<br />
platform. Plate-wise normalization was done by the<br />
Affymetrix Power Tool plug-in to Birdsuite 1.5.2. Very rare<br />
CNVs (singletons; occur once in a data set) were significantly<br />
more frequent in Bipolar patients than in controls (Zhang et<br />
al., 2009). Quantitative PCR (qPCR) was used to validate<br />
CNVs. These data are consistent with numerous rare variants<br />
contributing to a very heterogeneous disorder. Multiple<br />
s<strong>of</strong>tware packages exist for analyzing CEL files and for<br />
calling CNVs. These include Birdsuite, HelixTree (Golden<br />
Helix, Inc.), Partek, and PennCNV-Affymetrix. For singleton<br />
deletions, confirmation by qPCR was most consistent for<br />
Birdsuite and Partek, and least consistent for HelixTree.
S5.4 FROM CNV “HOT SPOTS” TO THE REST OF<br />
THE GENOME, LOOKING BEYOND THE LOW<br />
LYING FRUIT<br />
S. Jonathan* (1)<br />
1. Cold Spring Harbor Laboratory<br />
*sebat@cshl.edu<br />
Recent studies have established an important role for rare<br />
structural variants in the etiology <strong>of</strong> schizophrenia and other<br />
psychiatric disorders. Studies <strong>of</strong> rare variants have so far been<br />
limited to relatively large (>100 kb) copy number variants<br />
(CNVs). However, large CNVs account for a very small<br />
fraction <strong>of</strong> all variants and presumably account for only a<br />
subset <strong>of</strong> risk alleles. In order to further enhance the power <strong>of</strong><br />
the CNV-based approach, new computational and<br />
experimental strategies must be considered. Promising new<br />
computational approaches to the analysis <strong>of</strong> CNVs include<br />
gene-based and pathway-based association methods. We will<br />
present preliminary findings from these studies, and we will<br />
address the specific technical challenges that apply to CNV<br />
data. New experimental methods that are in development for<br />
highly-sensitive detection <strong>of</strong> CNVs include new microarray<br />
CGH and Next Generation sequencing platforms. We will<br />
address how these methods can be applied to genetic studies<br />
<strong>of</strong> psychiatric disease.<br />
S5.5 ANALYSIS OF RARE STRUCTURAL VARIANTS<br />
IN BIPOLAR DISORDER AND SCHIZOPHRENIA<br />
S. Purcell* (1)<br />
1. Mass General<br />
*shaun@pngu.mgh.harvard.edu<br />
We and others have previously reported evidence that<br />
implicates rare, large deletions and duplications as strong risk<br />
factors for schizophrenia, both at specific loci and in terms <strong>of</strong><br />
genome-wide burdens. In this talk, I consider a number <strong>of</strong><br />
related questions: 1) the role <strong>of</strong> structural variants in bipolar<br />
disorder, 2) an analysis <strong>of</strong> the intersection <strong>of</strong> regions emerging<br />
from association analysis <strong>of</strong> common single nucleotide<br />
polymorphism data with rare structural variant data, and 3)<br />
methodological issues in testing for enrichment <strong>of</strong> variants in<br />
affected individuals occurring in particular sets <strong>of</strong> genes.<br />
S6 PSYCHIATRIC DISORDER<br />
BIOMARKERS<br />
S6.1 THE QUEST FOR PSYCHIATRIC DISORDER<br />
BIOMARKERS: FROM DIFFERENTIAL EXPRESSION<br />
TO ISOFORMS TO PATHWAYS<br />
C. Turck* (1), R. Landgraf (1), M. Filiou (1), Y. Zhang (1),<br />
C. Webh<strong>of</strong>er (1), G. Maccarrone (1), C. Ditzen (1)<br />
1. Max Planck Institute <strong>of</strong> Psychiatry<br />
*turck@mpipsykl.mpg.de<br />
Proteomic technologies in combination with pathway analysis<br />
promise to be <strong>of</strong> great value in molecular medicine,<br />
particularly in the discovery and validation <strong>of</strong> disease markers.<br />
The research <strong>of</strong> the “Proteomics and Biomarkers” group is<br />
aimed at the identification <strong>of</strong> markers that can categorize<br />
subsets <strong>of</strong> psychiatric patients in a more consistent manner<br />
than is presently achievable. This will allow a more precise<br />
definition and categorization <strong>of</strong> affective disorders and in turn<br />
facilitate investigations <strong>of</strong> the pathogenesis <strong>of</strong> the diseases and<br />
enhance the ability for treatment. Biomarker detection efforts<br />
range from classical proteomics approaches such as<br />
quantitative mass spectrometry <strong>of</strong> brain tissue and body fluid<br />
proteins to phage display screens with cerebrospinal fluid<br />
antibodies. A particular focus is the use <strong>of</strong> animal models that<br />
represent selected endophenotypes characteristic for the<br />
respective clinical phenotype in humans. A comprehensive<br />
and sensitive proteomics platform that is based on metabolic<br />
labeling <strong>of</strong> mouse models with stable isotopes is used for mass<br />
spectrometry quantitation and disease relevant pathway<br />
discovery. In a complementary approach human specimens<br />
from patient groups that have been characterized according to<br />
their clinical as well as endophenotypes are analyzed. An<br />
antibody array platform serves to interrogate a great number <strong>of</strong><br />
proteins in human cerebrospinal fluids with the aim to extract<br />
patterns <strong>of</strong> biomarkers that can be used for clinical diagnosis.
S6.2 BIOMARKER DISCOVERY IN SCHIZOPHRENIA<br />
AND BIPOLAR DISORDER: TRANSCRIPTOMIC,<br />
SPLICEOMIC, AND PATHWAY ANALYSIS FINDINGS<br />
S. Glatt (1), C. Bousman (2), G. Chana (2), S. Chandler (2),<br />
W. Kremen (2), I. Everall (2)<br />
1. Department <strong>of</strong> Psychiatry and Behavioral Sciences, and<br />
<strong>Medical</strong> Genetics Research Center; SUNY Upstate <strong>Medical</strong><br />
University; 750 East Adams Street; Syracuse, NY, 13210;<br />
U.S.A. 2. Center for Behavioral Genomics; Department <strong>of</strong><br />
Psychiatry; University <strong>of</strong> California, San Diego; 9500 Gilman<br />
Drive; La Jolla, CA 92039; U.S.A.<br />
Recently, high-throughput biomarker discovery efforts have<br />
focused on pr<strong>of</strong>iling various “omes” to assist in elucidating<br />
dynamic molecular signatures in major psychiatric disorders.<br />
For the last four years, our group has focused largely on the<br />
transcriptome (i.e., the full compendium <strong>of</strong> mRNAs expressed<br />
in a given tissue) as a potential source <strong>of</strong> biomarkers for<br />
various mental disorders. Gene expression levels are<br />
heritable, yet are also influenced strongly by environmental<br />
and epigenomic influences; thus, the transcriptome may<br />
represent a final common pathway wherein the joint<br />
influences <strong>of</strong> genome, epigenome, and envirome may be<br />
represented. This ability to represent multiple influences may<br />
be an advantage for a biomarker discovery platform when<br />
considering complex multifactorial polygenic disorders, such<br />
as psychiatric disorders. In this presentation, we will provide<br />
a review <strong>of</strong> our recent efforts utilizing these approaches to<br />
identify viable biomarkers for schizophrenia (SCZ) and<br />
bipolar disorder (BPD). These efforts have included the use <strong>of</strong><br />
supervised and unsupervised hierarchical clustering <strong>of</strong><br />
individual transcripts; receiver-operating curve analyses;<br />
ANOVA and ANCOVA; ontology, pathway, and protein<br />
structure-similarity analyses; and home-grown biostatistical<br />
and bioinformatic approaches. The various strengths and<br />
weaknesses <strong>of</strong> these approaches will be discussed in the<br />
context <strong>of</strong> our empirical work that has implicated various<br />
genes and biological pathways as sources <strong>of</strong> potentially useful<br />
biomarkers for SCZ, BPD, and their sometimes-shared feature<br />
<strong>of</strong> psychosis. We will conclude with a discussion <strong>of</strong> how<br />
these findings may be interrelated and how they may guide<br />
future biomarker discovery efforts.<br />
S6.3 IDENTIFICATION OF BLOOD BIOMARKERS<br />
FOR PSYCHOSIS USING CONVERGENT<br />
FUNCTIONAL GENOMICS<br />
S. Kurian (1), H. Le-Niculescu (2), S. Patel (2), D. Bertram<br />
(3), C. Dike (4), N. Yehyawi (3), J. Davis (3), P. Lysaker (3),<br />
M. Caligiuri (5), J. Lohr (4, 5), D. Lahiri (2), J. Nurnberger<br />
(2), S. Faraone (6), M. Geyer (5), M. Tsuang (5), N. Schork<br />
(1), D. Salomon (1), A. Niculescu* (2, 3)<br />
1. Scripps Research Institute 2. Indiana University 3.<br />
Indianapolis VA <strong>Medical</strong> Center 4. San Diego VA <strong>Medical</strong><br />
Center 5. <strong>UCSD</strong> 6. SUNY Upstate<br />
* anicules@iupui.edu<br />
There are to date no objective clinical laboratory blood tests<br />
for psychotic disease states. We provide pro<strong>of</strong> <strong>of</strong> principle for<br />
a Convergent Functional Genomics (CFG) approach to help<br />
identify and prioritize blood biomarkers for two key psychotic<br />
symptoms, one sensory (hallucinations) and one cognitive<br />
(delusions). We used gene expression pr<strong>of</strong>iling in whole blood<br />
samples from patients with schizophrenia and related<br />
disorders, with phenotypic information collected at the time <strong>of</strong><br />
blood draw, then cross-matched the data with other human and<br />
animal model lines <strong>of</strong> evidence. Topping our list <strong>of</strong> candidate<br />
blood biomarkers for hallucinations, we have four genes<br />
decreased in expression in high hallucinations states (Fn1,<br />
Rhobtb3, Aldh1l1, Mpp3), and three genes increased in high<br />
hallucinations states (Arhgef9, Phlda1,S100a6). All <strong>of</strong> these<br />
genes have prior evidence <strong>of</strong> differential expression in<br />
schizophrenia patients. At the top <strong>of</strong> our list <strong>of</strong> candidate<br />
blood biomarkers for delusions, we have fifteen genes<br />
decreased in expression in high delusions states (such as Drd2,<br />
Apoe, Scamp1, Fn1, Idh1, Aldh1l1), and sixteen genes<br />
increased in high delusions states (such as Nrg1, Egr1, Pvalb,<br />
Dctn1, Nmt1, Tob2). Twenty five <strong>of</strong> these genes have prior<br />
evidence <strong>of</strong> differential expression in schizophrenia patients.<br />
Predictive scores, based on panels <strong>of</strong> top candidate<br />
biomarkers, show good sensitivity and negative predictive<br />
value for detecting high psychosis states in the original cohort<br />
as well as in three additional cohorts. These results have<br />
implications for the development <strong>of</strong> objective laboratory tests<br />
to measure illness severity and response to treatment in<br />
devastating disorders such as schizophrenia.
S6.4 LITHIUM MEDIATED EXPRESSION CHANGES<br />
IN LYMPHOBLASTOID CELL LINES<br />
H. Chen (1), M. Burmeister (1), M. McInnis* (1)<br />
1. University <strong>of</strong> Michigan<br />
* mmcinnis@umich.edu<br />
Lithium (Li) is an effective maintenance therapy <strong>of</strong> bipolar<br />
disorder (BPD). There are several hypotheses on the<br />
mechanism <strong>of</strong> lithium’s action, many derived from studies that<br />
have utilized post-mortem brain tissue from bipolar<br />
individuals. The changes <strong>of</strong> gene expression in postmortem<br />
tissue exposed to Li are confounded by agonal and other<br />
factors such as postmortem interval, tissue pH, medication<br />
status, age, and sex. Lymphoblastoid cell lines (LCL) derived<br />
from subjects with the illness <strong>of</strong> interest represent an<br />
accessible proxy cellular system to study gene expression<br />
patterns. We studied gene expression in 12 LCLs cultured<br />
with and without presence <strong>of</strong> 1 mM LiCl in the culture for 4,<br />
8, and 16 day using the Illumina RefSeq8_v2 BeadChip<br />
microarrays. We identified 218 transcripts that showed<br />
significant changes over the time course <strong>of</strong> Li treatment at<br />
false discovery rate (FDR) < 5%. Of the 218 significant<br />
transcripts, only C8orf33 showed a consistently positive slope<br />
change in expression pattern, and the rest showed negative<br />
slope changes in expression. C8orf33 is a novel gene mapped<br />
to the region <strong>of</strong> 8q24 linked to BPD. Molecular interaction<br />
analysis using the Michigan Molecular Interaction data base<br />
(MiMI) search algorithms identified that C8orf33 directly<br />
interacted with three other genes (GIT1, GPRASP1, and<br />
HAP1), and through indirect interactions forms a network <strong>of</strong><br />
total 144 nodes (genes) and 345 edges. Among the 144 nodes,<br />
21% <strong>of</strong> them were reported to be regulated by Li in mouse<br />
brain (McQuillin et al., 2007). Functional annotation analysis<br />
using the EASE algorithms suggests that the 144 genes in the<br />
network are enriched in biological pathways, including a<br />
G-protein coupled receptor protein signaling pathway<br />
(p=2.27E-8), neuroactive ligand-receptor interaction(P =<br />
7.38E-16), calcium signaling pathway (P = 7.90E-10), and<br />
regulation <strong>of</strong> actin cytoskeleton (P = 3.16E-05). Our data<br />
suggest that individual gene expression changes induced by Li<br />
treatment are modest. The results reported here suggest a<br />
model that includes the effect from networked genes<br />
contributes to the molecular basis <strong>of</strong> Li's therapeutic action.<br />
S6.5 EXON ARRAY FINDINGS IN LYMPHOBLASTIC<br />
CELL LINES IN SCHIZOPHRENIA<br />
M. Vawter<br />
S7 SMALL RNA IN NEUROPSYCHIATRY<br />
S7.1 BIOINFORMATIC ANALYSIS OF POTENTIAL<br />
MIRNA INVOLVEMENT IN PSYCHIATRIC DISEASE<br />
S. Jugurnauth*, G. Breen, D. Collier<br />
*sarah.jugurnauth@kcl.ac.uk<br />
The ability <strong>of</strong> microRNAs to regulate expression <strong>of</strong> genes via<br />
UTR regions opens up these relatively overlooked sequences<br />
as new candidates for disease susceptibility. In many cases<br />
associations map to "gene deserts", and association peaks<br />
<strong>of</strong>ten indicate areas where no causative change is obvious. A<br />
number <strong>of</strong> these fall within computationally predicted miRNA<br />
target sites as reviewed in Barnes 2007. MiRNAs, with their<br />
increasingly recognized roles in neurodevelopment and<br />
synaptic plasticity may contribute to the multiple genetic<br />
factors influencing the as yet unknown dysfunction and/or<br />
neurodevelopmental incidents believed to result in psychiatric<br />
disease. Evidence is emerging for aberrant miRNA expression<br />
or miRNA involvement in many psychiatric diseases including<br />
schizophrenia, autism spectrum disorder, alzheimers disease,<br />
neurodegenerative disorders and behavioral disorders. I intend<br />
to support evidence for disruptive SNPs in candidate miRNA<br />
target sites to highlight miRNAs that might impact on<br />
neurotransmission pathways and pathways involving<br />
candidate psychiatric genes. Identification <strong>of</strong> relevant<br />
computationally predicted target sites will take the following<br />
into account, multiple targets in a gene, strength and quality <strong>of</strong><br />
targets, target prediction by more than one s<strong>of</strong>tware, gene<br />
weighting and function, similar expression levels and location<br />
<strong>of</strong> miRNA and target previously observed in literature,<br />
previous associations with neuropsychiatric disease in<br />
candidate region, target accessibility (mRNA folding) and<br />
where possible epistasis and eQTL pQTL data.
S7.2 ALTERATION OF CORTICAL MICRORNA<br />
BIOGENESIS IN SCHIZOPHRENIA AND ITS<br />
INFLUENCE ON GENE EXPRESSION<br />
M. Cairns (1), N. Beveridge (1), A. Carroll (1), E. Gardiner<br />
(1), P. Tooney (1), D. Santarelli (1)<br />
1. Schizophrenia Research Institute, Sydney. School <strong>of</strong><br />
Biomedical Sciences, The University <strong>of</strong> Newcastle. Hunter<br />
<strong>Medical</strong> Research Institute<br />
* murray.cairns@newcastle.edu.au<br />
Gene expression is altered in multiple brain regions in<br />
schizophrenia. While some <strong>of</strong> these changes relate directly to<br />
changes at the DNA level, most are probably a function <strong>of</strong><br />
regulatory influences. Bioinformatic approaches are helping to<br />
make sense <strong>of</strong> these changes by identifying pathways and<br />
networks <strong>of</strong> related genes with plausible implications for this<br />
complex phenotype. Unfortunately, this analysis is yet to<br />
provide a cohesive and reproducible signature indicative <strong>of</strong><br />
systematic failure in gene regulation. In our laboratory, we<br />
have been investigating the hypothesis that<br />
post-transcriptional gene silencing is altered in schizophrenia,<br />
causing an underlying change in the regulatory matrix. In<br />
support <strong>of</strong> this we have identified widespread alteration <strong>of</strong><br />
microRNA expression in two cortical regions that appeared to<br />
be a consequence <strong>of</strong> elevated miRNA biogenesis. This<br />
corresponded with an increase in the expression <strong>of</strong> DGCR8, a<br />
component <strong>of</strong> the microprocessor complex involved in<br />
post-transcriptional modification and regulation <strong>of</strong> most<br />
primary microRNA transcripts. Interestingly, this<br />
up-regulation <strong>of</strong> miRNA expression is inversely correlated<br />
with gene expression in these tissues and could have important<br />
implications for the development and progress <strong>of</strong><br />
schizophrenia - perhaps through the regulation <strong>of</strong> genes<br />
involved in synaptic structure and function, which feature<br />
strongly amongst predicted target genes.<br />
S7.3 ALTERATION OF THE GENE REGULATORY<br />
NETWORK IN THE FRONTAL CORTEX OF<br />
HIV-INFECTED INDIVIDUALS<br />
E. Tatro* (1), I. Everall (1)<br />
1. <strong>UCSD</strong> School <strong>of</strong> Medicine Department <strong>of</strong> Psychiatry<br />
* etatro@ucsd.edu<br />
Background: MicroRNAs are small, non-coding RNAs that<br />
regulate gene networks, helping control cell function and<br />
phenotype. MicroRNAs are recognized as key players in CNS<br />
patterning, function, and disease. Past studies focused on<br />
expression levels <strong>of</strong> coding mRNAs in the brain <strong>of</strong><br />
HIV-infected individuals. Because microRNAs affect the<br />
abundance and downstream functions <strong>of</strong> mRNAs, it is<br />
important to understand both mRNA and miRNA changes<br />
concurrently. We report the first genome-wide microRNA<br />
pr<strong>of</strong>ile in the HIV-infected human frontal cortex. We present<br />
methods to integrate mRNA expression with microRNA<br />
expression data in a Target BiasAnalysis by determining the<br />
probability that the number <strong>of</strong> target-genes <strong>of</strong> dysregulated<br />
miRNAs would be dysregulated in HIV infection versus<br />
expected by chance. Methods: We used Affymetrix arrays for<br />
comparing gene expression in frontal cortex from<br />
6HIV-infected males (no cognitive impairment or<br />
encephalitis) and 6 age-matched controls at the mRNA level.<br />
We pooled equivalent RNA samples and utilized Applied<br />
Biosystems PCR-based array to assess a panel <strong>of</strong> 379<br />
microRNAs. Results: Target bias analysis indicated that<br />
microRNAs clustered into four types: A) Those with many<br />
dysregulated mRNA targets <strong>of</strong> less stringent significance, B)<br />
Fewer dysregulated target-genes <strong>of</strong> highly stringent<br />
significance, C) spectrum from non-bias to combinations <strong>of</strong> A<br />
and B. The dysregulated miRNAs clustered on Chromosomes<br />
14, 17, 19, and X. Those miRNAs that affect many genes may<br />
be important "circuits" in gene regulatory networks pertinent<br />
to the effects <strong>of</strong> HIV infection in CNS. These may be<br />
functional and diagnostic markers <strong>of</strong> neurologic disease in<br />
HIV-infected patients.
S7.4 MICRORNAS IN THE TRANSITION FROM<br />
CONTROLLED TO COMPULSIVE COCAINE-TAKING<br />
P. Kenny (1), J. Hollander (1), H. Im (1)<br />
1. The Scripps Research Institute<br />
* pjkenny@scripps.edu<br />
Rats with extended access to cocaine over prolonged time<br />
periods can develop compulsive-like cocaine seeking<br />
behaviors, including intake that progressively escalates. The<br />
dorsal striatumis considered an important brain region in the<br />
development <strong>of</strong> compulsive cocaine intake. MicroRNAs are<br />
small (21–23 nucleotides) noncoding RNA transcripts that<br />
regulate many basic aspects <strong>of</strong> cell biology, but little is known<br />
<strong>of</strong> their roles in addiction. We investigated the role for<br />
microRNAs in the dorsal striatum in regulating the<br />
development <strong>of</strong> escalated cocaine intake in rats with extended<br />
access to the drug. We found that microRNA-212 (miR-212)<br />
was significantly up regulated in the dorsal striatum <strong>of</strong> rats<br />
with extended (6-h) daily access to cocaine<br />
self-administration, demonstrating compulsive-like escalated<br />
intake, compared with rats that had restricted (1-h) access and<br />
cocaine-naïve rats. Furthermore, miR-212overexpression in<br />
dorsal striatum decreased, whereas its inhibition increased,<br />
cocaine intake only in rats with extended but not restricted<br />
access to thedrug. Finally, we found that the effects <strong>of</strong><br />
miR-212 on cocaine-taking were regulated in part through the<br />
novel CREB coactivator TORC. These findings identify<br />
miR-212 as a cocaine-responsive microRNA whose<br />
expression is increased in dorsal striatum in rats that<br />
over-consume cocaine. Moreover, miR-212 may be a novel<br />
protect factor against the development <strong>of</strong> compulsive<br />
cocaine-taking behaviors. Finally, we identify apreviously<br />
unknown role TORC in regulating drug-taking behavior.<br />
Noncoding RNAs such as the microRNAs may thus serve as a<br />
novel targets for the future development <strong>of</strong> anti-addiction<br />
therapeutics.<br />
S8 ATTENTION DEFICIT HYPERACTIVITY<br />
DISORDER: ENVIRONMENTAL<br />
INFLUENCES ON THE GENOME<br />
2009 RICHARD TODD AWARD LECTURE<br />
S8.1 WHOLE GENOME METHYLATION STUDY OF<br />
48 MONOZYTGOTIC PAIRS CONCORDANT OR<br />
DISCORDANT FOR ATTENTION PROBLEMS<br />
R. Alth<strong>of</strong>f* (1), D. Boomsma (2), C. van Beijesterveldt (2), P.<br />
Rizzu (2), E. de Geus (2), F. Middleton (3), Y. Zhang-James<br />
(3), S. Faraone (3), J. Hudziak (1)<br />
1. University <strong>of</strong> Vermont 2. VU University 3. SUNY Upstate<br />
University<br />
* ralth<strong>of</strong>f@uvm.edu<br />
Despite large sample sizes Genome Wide Association Studies<br />
for ADHD have produced relative few new genetic<br />
associations. We sought to determine if a whole genome<br />
methylation scan <strong>of</strong> monozygotic twin pairs, who mostly share<br />
their DNA sequence, would reveal new genetic areas for<br />
study. Method: 48 monozygotic (MZ) twin pairs from the<br />
Netherlands Twin Registry were selected for persistent<br />
longitudinal concordance or discordance on CBCL attention<br />
problems (AP). Extracted buccal DNA from 11 discordant<br />
pairs, 20 concordant affected, and 17 concordant unaffected<br />
was restriction digested and incubated with antibodies to<br />
5-methylcytosine. Antibody-bound DNA was separated from<br />
non-antibody bound DNA and the antibodies were removed to<br />
reveal methylation sites on the DNA. After PCR amplification<br />
methylated DNA was hybridized for Affymetrix Human<br />
Promoter Arrays tiled upstream and downstream <strong>of</strong> every<br />
known gene. Raw signal values for each <strong>of</strong> the 400 probes for<br />
each promoter were extracted, quantile normalized, and<br />
median polished within each promoter region. The end result<br />
was median methylation signals for each <strong>of</strong> 16,441 gene<br />
promoter regions. Empirical distributions for each twin type<br />
were created as a screening tool to identify those promoter<br />
regions where concordant affected, concordant unaffected and<br />
discordant twin pairs differ more from each other than from<br />
other individuals in the sample. MZ co-twin methylation<br />
falling outside <strong>of</strong> this empirical distribution interval for a<br />
particular individual was considered a possible positive result.<br />
Results revealed significant differences between discordant<br />
twins in at least one gene region previously associated with<br />
attention problems in animal models.
S8.2 THE DEVELOPMENTAL COURSE OF GENE<br />
EXPRESSION IN BRAINS OF RATS PRENATALLY<br />
EXPOSED TO POLYCHLORINATED BIPHENYLS<br />
T. DasBanerjee* (1), F. Middleton (1), S. Faraone (1)<br />
1. SUNY Upstate <strong>Medical</strong> University<br />
* dast@upstate.edu<br />
Although ADHD is a heritable neurobehavioral disorder,<br />
environmental influences or gene-environment interactions<br />
play an important role. Studies in humans and animals support<br />
the relationship between exposure to polychlorinated<br />
biphenyls (PCBs) and risk <strong>of</strong> developing ADHD. In this study,<br />
we investigated the developmental course <strong>of</strong> expression <strong>of</strong><br />
ADHD candidate genes, or IMAGE genes, in Sprague-Dawley<br />
(SD) rats exposed to PCBs prenatally and postnatally. We<br />
performed gene expression analysis <strong>of</strong> three brain regions (the<br />
prefrontal cortex, midbrain and vermis), which abundantly<br />
express the IMAGE genes. We analyzed three time points-<br />
PND23, PND35 and PND70. At each time point we have 36<br />
rats (18 males, 18 females; within each gender, 6 controls, 6<br />
exposed to PCBs only gestationally and 6 exposed to PCBs<br />
only during lactation).The brains were harvested at the above<br />
time points and used for isolation <strong>of</strong> RNA from each brain<br />
region. For microarray screen, we pooled equal amounts <strong>of</strong><br />
RNA from each animal in each group and each brain area to<br />
create a total <strong>of</strong> 36 RNA samples for analysis (18 samples in<br />
duplicate). RNA was processed using the recommended<br />
Affymetrix protocol and hybridized to the GeneChip Rat Gene<br />
1.0 ST array. Our results show that a small subset <strong>of</strong> IMAGE<br />
genes shows robust differences in expression in some or all<br />
brain regions <strong>of</strong> PCB-exposed SD rats compared to SD<br />
controls. A couple <strong>of</strong> these genes (COMT, Csnk1a1) have<br />
been confirmed by real time quantitative PCR (p< 0.005).<br />
Collectively, the data provide strong evidence that exposure to<br />
PCBs, either gestational or lactational, can lead to pr<strong>of</strong>ound<br />
effects on the brain circuits involved in ADHD.<br />
S8.3 A PILOT STUDY OF METHYLATION IN ADHD<br />
YOUTH PRENATALLY EXPOSED TO CIGARETTE<br />
SMOKE<br />
S. Faraone* (1), F. Middleton (1), T. DasBanerjee (1), Y.<br />
Zhang-James (1), Tourette GWAS Consortium<br />
1. SUNY Upstate <strong>Medical</strong> University<br />
* faraones@upstate.edu<br />
Attention deficit hyperactivity disorder (ADHD) is a complex<br />
disorder having both genetic and environmental causes. Both<br />
human and animal model studies show that prenatal exposure<br />
to cigarette smoke is a risk factor for ADHD symptoms and<br />
associated features. Despite this evidence, little is known<br />
about the mechanisms whereby smoke exposure increases risk<br />
for ADHD. We hypothesized that methylation <strong>of</strong> ADHD<br />
candidate genes by cigarette exposure could be one such<br />
mechanism. As a preliminary test <strong>of</strong> this hypothesis, we<br />
examined the methylation status <strong>of</strong> 51 ADHD candidate genes<br />
in 34 subjects from the International Multisite ADHD<br />
Genetics (IMAGE) project, using DNA extracted from blood:<br />
15 ADHD smoke exposed subjects, 4 non-ADHD smoke<br />
exposed siblings; 10 ADHD non-smoke exposed subjects and<br />
5 non-ADHD non-smoke exposed siblings. We assessed<br />
methylation using bisulfite treatment followed by analysis on<br />
the Human Promoter 1.0R Array (Affymetrix). Signal data<br />
from all annotated CpG islands in the genome were extracted<br />
and quantile normalized. Then, the probe and CpG island data<br />
for individual IMAGE candidate genes were compared<br />
between subject groups. After correction for multiple<br />
comparisons, we found no significant effect <strong>of</strong> either ADHD<br />
status or smoke exposure on methylation values. However,<br />
three genes showed nominally significant (p
S8.4 JOINT EFFECTS OF TOXIN EXPOSURES AND<br />
RISK GENOTYPES ON ADHD SYMPTOMS<br />
J. Nigg* (1)<br />
1. Oregon Health & Science University<br />
* niggj@ohsu.edu<br />
Two studies are presented here that illustrate both<br />
psychosocial environment and biological environment effects<br />
on gene correlation with ADHD in children. In study 1, blood<br />
lead is examined in 347 children carefully characterized with<br />
regard to ADHD or non-ADHD status. Blood lead is reliably<br />
associated with ADHD symptoms. However, when iron<br />
metabolism (HFE) and dopamine genes are considered, a<br />
composite genotype is created that is invulnerable to the lead<br />
effect (r=.00), versus a risk genotype that exhibits robust<br />
response to blood lead (r=.30, p
S9.2 USING NEUROCOGNITION AS AN<br />
ENDOPHENOTYPE IN A GWAS DATASET<br />
K. Burdick* (1), P. DeRosse (1), T. Lencz (1), A. Malhotra<br />
(1)<br />
1. The Zucker Hillside Hospital; Feinstein Institute for<br />
<strong>Medical</strong> Research; Albert Einstein College <strong>of</strong> Medicine<br />
* kburdick@lij.edu<br />
One promising strategy proposed as a way to simplify the<br />
genetics <strong>of</strong> complex disorders, such as schizophrenia, has been<br />
through the use <strong>of</strong> intermediate phenotypes or<br />
endophenotypes. An endophenotype is a measurable trait that<br />
is thought to be more closely linked to the underlying<br />
pathophysiology <strong>of</strong> the disease than is the categorical<br />
diagnosis itself. The use <strong>of</strong> such biomarkers in molecular<br />
genetic studies may enhance power to detect susceptibility loci<br />
first by reducing the complexity <strong>of</strong> the phenotype through<br />
dissecting it into its component parts and second by assaying a<br />
trait that is believed to be more proximal to gene action. A<br />
growing body <strong>of</strong> evidence suggests that measures <strong>of</strong><br />
neurocognitive function may have utility in genetic studies by<br />
enhancing power and/or elucidating gene function at the<br />
endophenotype level. However, while the originally proposed<br />
methodology was to first identify genetic variants associated<br />
with the endophenotype and then subsequently to test for their<br />
effects on risk for illness, most studies to date have used these<br />
traits as post-hoc to disease susceptibility analyses. In the<br />
current study, we attempted to utilize the endophenotype<br />
approach as it was initially intended. Specifically, we<br />
conducted a genome-wide association study (GWAS) in 200<br />
Caucasian healthy controls using general cognitive ability (g)<br />
as the primary outcome measure. We then tested the top five<br />
hits for case-control association in 249 healthy controls and<br />
280 patients with schizophrenia. This presentation will focus<br />
on the findings from these analyses, including the detection <strong>of</strong><br />
novel schizophrenia-associated loci.<br />
S9.3 PHARMACOGENETIC APPROACHES IN A<br />
GENOME-WIDE DATASET<br />
A. Malhotra* (1), T. Lencz (1), J. Zhang (1), J. Kane (1), D.<br />
Robinson (1)<br />
1. The Zucker Hillside Hospital; Feinstein <strong>Medical</strong> Research<br />
Institute; Albert Einstein College <strong>of</strong> Medicine<br />
* malhotra@lij.edu<br />
Genome-wide association studies (GWAS) are now being<br />
utilized across a number <strong>of</strong> phenotypes in psychiatric research,<br />
including studies that seek to identify molecular genetic<br />
factors influencing antipsychotic drug response. To date, these<br />
studies have been limited by phenotypic heterogeneity<br />
(including multiple drugs, dosages, and levels <strong>of</strong> compliance)<br />
and smaller sample sizes than usually recommended for<br />
GWAS; more innovative study designs may need to be<br />
considered. We have embarked on a large scale study that<br />
aims to combine the strengths <strong>of</strong> GWAS with the advantages<br />
<strong>of</strong> focused candidate gene work to identify variants than<br />
influence antipsychotic drug efficacy and adverse events<br />
associated with treatment. Initially, we will conduct a GWAS<br />
in a group <strong>of</strong> patients characterized by clinical assignment to<br />
treatment with clozapine, the atypical antipsychotic drug<br />
commonly reserved for treatment refractory patients, and<br />
compare the clozapine-treated patients to<br />
non-clozapine-treated patients as a proxy measure <strong>of</strong> treatment<br />
responsiveness. Top SNPs will be functionally characterized<br />
with in vivo and in vitro approaches; functionally relevant<br />
SNPs will then be assessed in large prospectively treated<br />
cohort <strong>of</strong> 1000 first episode schizophrenia patients collected in<br />
the U.S and Europe for relationship to drug efficacy and<br />
drug-induced weight gain. In this presentation, we will present<br />
early data with this approach including: GWAS data<br />
identifying SNPs within 5 genes that were differentially<br />
distributed between groups (p< 5 x 10-6); candidate gene work<br />
implicating specific promoter region polymorphisms in first<br />
episode schizophrenia patients’ clinical response to treatment<br />
as well as propensity for acute weight gain and finally; data<br />
from a recent meta analysis suggesting that the dopamine D2<br />
receptor (DRD2) gene plays a modest, yet significant, role in<br />
the variation in antipsychotic drug efficacy.
S9.4 ALTERNATIVE PHENOTYPES IN BIPOLAR<br />
DISORDER: DOES UNDERLYING GENETIC<br />
ARCHITECTURE MAP ONTO CLINICAL<br />
FEATURES?<br />
J. Kelsoe, T. Greenwood, K. Oedergaard, R. McKinney,<br />
Bipolar Genome Study (BiGS)<br />
It has long been suspected that different aspects <strong>of</strong> bipolar<br />
disorder might have different genetic bases and study <strong>of</strong> a<br />
specific subform might reduce the problem <strong>of</strong> genetic<br />
heterogeneity. Large scale GWAS studies have now given us<br />
both the genotyping density and sample sizes to begin to<br />
address this question. In support <strong>of</strong> the idea are studies that<br />
demonstrate the familiality <strong>of</strong> a variety <strong>of</strong> clinical<br />
presentations such as psychotic mania, irritable mania,<br />
comorbid anxiety disorders or substance abuse and many<br />
others. Our collaborative group has taken great pains to assess<br />
these clinical features and have been actively examining their<br />
value as alternative phenotypes. In general, it seems clear that<br />
many alternative phenotypes provide stronger evidence <strong>of</strong><br />
association than seen in the analysis <strong>of</strong> the entire sample<br />
despite much smaller samples sizes. Striking examples <strong>of</strong> this<br />
are irritable mania, comorbid migraine and disability. Though<br />
in an early stage these analyses suggest different genetic bases<br />
to these different forms. This elucidation <strong>of</strong> underlying<br />
architecture may guide biological hypotheses <strong>of</strong> disease.<br />
S10 OBSESSIVE COMPULSIVE DISORDER<br />
AND TOURETTE DISORDER: PHENOTYPE,<br />
GENOTYPE AND GENOME-WIDE<br />
ASSOCIATION STUDIES<br />
S10.1 OBSESSIVE COMPULSIVE DISORDER AND<br />
TOURETTE DISORDER: PHENOTYPE, GENOTYPE<br />
AND GENOME-WIDE ASSOCIATION STUDIES.<br />
C. Mathews (1), D. Cath (2), P. Arnold (3), J. Scharf (4), S.<br />
Stewart (4), D. Pauls * (4)<br />
1. Department <strong>of</strong> Psychiatry, University <strong>of</strong> California <strong>Medical</strong><br />
School, San Francisco, CA; USA 2. Department <strong>of</strong> Psychiatry,<br />
University <strong>of</strong> Utrecht, the Netherlands 3. Hospital for Sick<br />
Children, University <strong>of</strong> Toronto, Toronto, Ontario, Canada 4.<br />
Psychiatric and Neurodevelopmental Genetics Unit, Center for<br />
Human Genetic Research, Massachusetts General Hospital,<br />
Harvard <strong>Medical</strong> School, Boston, MA, USA<br />
* dpauls@pngu.mgh.harvard.edu<br />
Obsessive Compulsive Disorder (OCD) and Tourette Disorder<br />
(TD) are familial, phenotypically heterogeneous<br />
neuropsychiatric disorders that are likely to have a shared<br />
genetic etiology with additional independent genetic and<br />
non-genetic contributors. The first two presenters will discuss<br />
attempts to disaggregate these conditions into more<br />
homogeneous quantitative phenotypes. In the first<br />
presentation, factor and latent class analyses <strong>of</strong> 1,200 and<br />
1,600 individuals with OCD, respectively, will be described.<br />
Results suggest an underlying latent OCD susceptibility and<br />
five symptom-based factors (contamination, taboo, doubts,<br />
hoarding/perfectionism, superstitions/rituals), four <strong>of</strong> which<br />
are heritable. In the second presentation, latent class analyses<br />
<strong>of</strong> 500 TD-affected individuals will be summarized. Three<br />
classes <strong>of</strong> tics (socially inappropriate behaviors/tics, head tics,<br />
body tics) were observed, one <strong>of</strong> which (body tics) is<br />
heritable. The next speaker will summarize a family-based<br />
association study <strong>of</strong> 308 OCD families in which DLGAP3 (the<br />
human homologue <strong>of</strong> SAPAP3 a gene associated with<br />
compulsive grooming in mice) was examined. Several SNPs<br />
were nominally associated with OCD, although none survived<br />
correction for multiple testing. Finally, preliminary results <strong>of</strong><br />
genome-wide association studies for OCD and TD will be<br />
presented. Two-thousand-five-hundred OCD-affected<br />
individuals and 1,800 TD-affected individuals were genotyped<br />
using the Illumina Human610 Beadchip. Preliminary results<br />
suggest that at least two TD loci are associated with p-values<br />
less than 10-8-10-9. To date, no OCD loci have achieved<br />
genome-wide significance, but several were associated with<br />
p-values in the 10-6-10-7 range. Results presented in this<br />
symposium should help to advance our understanding <strong>of</strong> the<br />
genetic etiologies <strong>of</strong> OCD and TD.
S10.2 LATENT STRUCTURE IN OBSESSIVE<br />
COMPULSIVE DISORDER<br />
C. Mathews* (1), M. Andresen (2), D. Cath (3), K. Delucchi<br />
(1), D. Denys (5), H. Katerberg (6), C. Lochner (7), D. Stein<br />
(7), S. Stewart (8)<br />
1. UCSF 2. University <strong>of</strong> Minnesota 3. Utrecht 4. UCSF 5.<br />
University <strong>of</strong> Amsterdam 6. University <strong>of</strong> Groningen 7.<br />
University <strong>of</strong> Stellenbosch 8. Massachusetts General Hospital<br />
* cmathews@lppi.ucsf.edu<br />
Objective: Obsessive-compulsive disorder (OCD)<br />
isphenomenologically heterogeneous, and data reduction<br />
methods have been increasingly used to identify more<br />
homogeneous subgroups, with varying results. We present the<br />
results <strong>of</strong> factor and latent class analyses in a large<br />
multi-center sample <strong>of</strong> OCD patients and their relevance to<br />
genetics and treatment outcome. Method: Principal<br />
components factor (PCA) and latent class analyses (LCA)<br />
using obsessive-compulsive (OC) symptoms from the<br />
Yale-Brown Obsessive-Compulsive Scale were conducted in<br />
1200 and 1600 OCD-affected individuals, respectively.<br />
Heritability <strong>of</strong> the resulting factors and relationships between<br />
latent class membership and treatment response, gender,<br />
symptom severity and comorbid tics were tested. Results:<br />
PCA resulted in a five-factor model: 1) taboo, 2)<br />
contamination/cleaning, 3)doubts, 4) superstitions/rituals, and<br />
5) symmetry/hoarding. All factors except factor 4 were<br />
heritable. LCA best-fit models yielded three or five classes.<br />
Classes in the three-class solution differed only in frequency<br />
<strong>of</strong> endorsement <strong>of</strong> symptoms, irrespective <strong>of</strong> symptom type.<br />
The five-class solution was similar to the three-class, with the<br />
addition <strong>of</strong> a minimal endorsement class and a class with<br />
predominantly contamination/cleaning symptoms. Classes<br />
with higher symptom endorsement were associated with<br />
earlier age <strong>of</strong> onset, male gender, and comorbid tics. The<br />
contamination/cleaning class was associated with improved<br />
treatment outcome. Conclusions: These results provide<br />
support both for the validity <strong>of</strong> OCD as a single diagnostic<br />
entity with varying levels <strong>of</strong> severity/symptom endorsement,<br />
and for additional separate, genetically distinct OC symptom<br />
dimensions. The large size and heterogeneous nature <strong>of</strong> the<br />
sample has the advantage <strong>of</strong> increasing the generalizability <strong>of</strong><br />
the findings.<br />
S10.3 GENOME-WIDE ASSOCIATION STUDY OF<br />
TOURETTE DISORDER IN EUROPEAN ANCESTRY<br />
SAMPLES AND FOUR POPULATION ISOLATES<br />
J. Scharf* (1), B. Neale (1), S. Service (2), A. Tikhomorov<br />
(3), J. Fagerness (1), A. Pluzhnikov (3), D. Yu (1), J. Crane<br />
(1), M. State (4), J. Tischfield (5), D. Cath (6), G. Rouleau (7),<br />
A. Ruiz-Linares (8), C. Mathews (9), C. Sabatti (2), S. Purcell<br />
(1), N. Freimer (2), N. Cox (3), D. Pauls (1), GENEVA<br />
1. Massachusetts General Hospital 2. University <strong>of</strong> California,<br />
Los Angeles 3. University <strong>of</strong> Chicago 4. Yale University 5.<br />
Rutgers University 6. University <strong>of</strong> Utrecht, Netherlands 7.<br />
University <strong>of</strong> Montreal, Canada 8. University College London,<br />
England 9. University <strong>of</strong> California, San Francisco<br />
* jscharf@partners.org<br />
Tourette Disorder (TD) is highly heritable, though no<br />
definitive susceptibility genes have been identified. Here,<br />
results from the first genome-wide association study (GWAS)<br />
<strong>of</strong> TD in 1,749 cases and 4,410 ancestry-matched controls will<br />
be reported. Cases included 983 subjects <strong>of</strong> European ancestry<br />
(EA) as well as 766 subjects from four population isolates:<br />
French Canadian (FC), Ashkenazi Jewish (AJ), Antioquia<br />
Colombian (CO) and Central Valley Costa Rica (CR).<br />
Diagnoses were made using DSM-IV-TR criteria. Case<br />
samples and population isolate controls from FC and CO were<br />
genotyped on the Illumina Human610Quad Beadchip; EA and<br />
AJ controls were previously genotyped on the Illumina<br />
Human550K and Human317K Beadchips, respectively. QC<br />
and population-stratified analyses were performed in PLINK.<br />
Preliminary results are based on analysis <strong>of</strong> 95% <strong>of</strong> the data.<br />
After standard QC to remove poorly performing SNPs and<br />
individuals, 1552 cases and 4027 controls remained.<br />
Multi-dimensional scaling was performed to control for<br />
population substructure; population outliers were excluded.<br />
Data were analyzed using logistic regression under an additive<br />
model with significant MDS axes included as covariates.<br />
Preliminary association analysis identified 8 loci with genomic<br />
control-adjusted p-values in the 10-7-10-9 range (seven in the<br />
EA sample and one in the AJ sample). In the FC and CR/CO<br />
populations, no loci had GC-adjusted p
S10.4 A GENOME-WIDE ASSOCIATION STUDY OF<br />
OBSESSIVE-COMPULSIVE DISORDER<br />
S. Stewart* (1), B. Neale (1), J. Fagerness (1), C. Mathews<br />
(2), J. Knowles (3), P. Arnold (4), G. Hanna (5), D. Cath (6),<br />
D. Denys (7), A. Hounie (8), M. Wagner (9), C. Lochner (10),<br />
M. Cavallini (11), H. Nicolini (12), D. Murphy (13), G.<br />
Nestadt (14), S. Purcell (1), D. Pauls (1)<br />
1. Massachusetts General Hospital 2. University <strong>of</strong> California,<br />
San Francisco 3. University <strong>of</strong> Southern California 4.<br />
University <strong>of</strong> Toronto 5. University <strong>of</strong> Michigan 6. Utrecht<br />
University 7. University <strong>of</strong> Amsterdam, Institute for<br />
Neuroscience 8. University <strong>of</strong> São Paulo 9. University <strong>of</strong><br />
Bonn 10. Stellenbosch University 11. Fondazione Centro San<br />
Raffaele del Monte Tabor 12. Universidad Autónoma de la<br />
Ciudad de México 13. National Institute <strong>of</strong> Mental Health 14.<br />
Johns Hopkins University<br />
* stewart@pngu.mgh.harvard.edu<br />
Introduction: Obsessive-Compulsive Disorder (OCD) is a<br />
complex genetic illness. This first genome-wide association<br />
study (GWAS) <strong>of</strong> OCD included European ancestry cases &<br />
family trios from the OCF Genetics Collaborative. Methods:<br />
1558 OCD cases <strong>of</strong> European ancestry and 477 OCD trios<br />
were included, as diagnosed via DSM-IV criteria. OCD<br />
samples were genotyped on the Illumina Human610Quad<br />
Beadchip; 3, 212 European ‘iControl’ samples were<br />
previously genotyped on the Illumina Human550K Beadchip.<br />
QC & stratified analyses were performed in PLINK. TDT &<br />
case-control samples were weighted by power. GPC based<br />
non-centrality parameters were employed. A weighted Z<br />
approach transformed P into Z-values for combining the<br />
samples. Results/Conclusions: Standard QC removed poorly<br />
performing SNPs & individuals, leaving 1558 cases. Checks<br />
for familial relationship and Mendel errors left 477 trios.<br />
Multi-dimensional scaling (MDS) was performed to exclude<br />
population outliers and to be included as covariates in logistic<br />
regression analyses under an additive model. Combining these<br />
two datasets yielded a genomic control ? <strong>of</strong> 1.09. Preliminary<br />
analyses identified two loci with p-values in the 10-7 range &<br />
12 loci with p-values in the 10-6 range. Four <strong>of</strong> the top 14<br />
associated genes are involved in glutamate neurotransmission<br />
(GRK4, GRID2, GRIN2B & DLGAP1), consistent with<br />
current etiologic theories <strong>of</strong> OCD and previous candidate gene<br />
studies. Although results <strong>of</strong> this first GWAS study <strong>of</strong> OCD<br />
were promising, with multiple biologically plausible<br />
associated loci, results fell short <strong>of</strong> genome-wide significance.<br />
Additional genotyping in independent samples will be<br />
necessary to confirm these findings.<br />
S10.5 DLGAP3 AND OBSESSIVE-COMPULSIVE<br />
DISORDER<br />
P. Arnold* (1), S. Stewart (2), S. Shaheen (1), J. Fagerness<br />
(2), S. Taillefer (1), B. Doan (1), A. Hounie (3), J. Kennedy<br />
(4), E. Cook (5), D. Pauls (1), M. Richter (6), C. Mathews (7),<br />
G. Hanna (8)<br />
1. Hospital for Sick Children 2. Massachusetts General<br />
Hospital 3. University <strong>of</strong> Sao Paulo 4. Centre for Addiction<br />
and Mental Health 5. University <strong>of</strong> Illinois at Chicago 6.<br />
Sunnybrook Health Sciences Centre 7. University <strong>of</strong><br />
California at San Francisco 8. University <strong>of</strong> Michigan<br />
* paul.arnold@sickkids.ca<br />
A recently described putative animal model <strong>of</strong><br />
obsessive-compulsive disorder (OCD) is the SAPAP3 (human<br />
homologue DLGAP3) knockout mouse, which exhibits<br />
compulsive grooming behaviour and corticostriatal glutamate<br />
transmission dysregulation. We hypothesized that a significant<br />
association would be identified between DLGAP3 and OCD<br />
using a family-based association approach. Tag single<br />
nucleotide polymorphisms (SNPs) were selected using<br />
publicly available databases (dbSNP, HapMap) and the<br />
Haploview program. The sample comprised OCD-affected<br />
probands and their first degree relatives from a combined<br />
sample <strong>of</strong> 1575 individuals (308 families), recruited from<br />
specialized OCD clinics by investigators at six sites (Toronto,<br />
Michigan, Boston, Paris, San Francisco, and Brazil).<br />
Genotyping was performed on the Sequenom iPlex platform.<br />
Markers with genotyping success rates < 90%, with minor<br />
allele frequency < 0.05, with greater than 10 Mendelian errors<br />
were excluded, leaving a set <strong>of</strong> 26 markers for analysis. Single<br />
marker and haplotype analyses were conducted using FBAT<br />
(Family Based Association Test) and Haploview s<strong>of</strong>tware. In<br />
the whole sample, several SNPs were nominally associated<br />
with OCD, although none remained significant after<br />
permutation testing. Exploratory analysis stratified by gender<br />
revealed that one SNP lying 5’ <strong>of</strong> the gene, rs16837122 was<br />
significantly associated (p = 0.003, not corrected for multiple<br />
testing) when examining transmission to male rather than<br />
female probands. Consistent with findings reported from other<br />
glutamate system genes (e.g. the glutamate transporter<br />
SLC1A1), these preliminary findings suggest a possible<br />
gender-specific association between sequence variation in or<br />
near the DLGAP3 gene and OCD in males.
S10.6 GENOME-WIDE LINKAGE ANALYSES OF<br />
COSTA RICAN FAMILIES WITH OBSESSIVE<br />
COMPULSIVE DISORDER<br />
J. Ross* (1), A. Azzam (1), D. Chavira (2), C. Mathews (1),<br />
H. Garrido (3)<br />
1. Department <strong>of</strong> Psychiatry, Langley Porter Psychiatric<br />
Institute, UCSF, San Francisco, CA 2. Department <strong>of</strong><br />
Psychiatry, <strong>UCSD</strong>, La Jolla, CA 3. Department <strong>of</strong> Psychiatry<br />
and Pediatrics, University <strong>of</strong> Costa Rica School <strong>of</strong> Medicine,<br />
San Jose, Costa Rica<br />
* jross@lppi.ucsf.edu<br />
Introductions: Obsessive Compulsive Disorder(OCD) is a<br />
complex neuropsychiatric disorder with a prevalence <strong>of</strong> 1-2%<br />
in most populations, and a component <strong>of</strong> heritability<br />
demonstrated through , twin, and segregation studies.<br />
Published OCD linkage studies have identified several<br />
possible susceptibility loci, pointing to both a complex genetic<br />
architecture and genetic heterogeneity. Methods: Extensive<br />
clinical information and DNA samples were ascertained from<br />
28 families from both Central Valley <strong>of</strong> Costa Rica and the<br />
US, but as initial linkage analysis revealed that these were two<br />
distinct genetic populations with regards genetic etiology for<br />
OCD, they were analyzed separately. These are the results <strong>of</strong><br />
parametric non-parametric(NPL) linkage <strong>of</strong> 3<br />
multi-generational families from Cost Rica with multiple<br />
members with OCD. Individuals were genotyped using the<br />
Illumina Linkage Panel IV(approximately 5800 markers).<br />
Linkage analyses were done using MERLIN and<br />
SIMWALK2snp. Significance analyses were also completed.<br />
Results: Initial linkage analysis revealed that NPL scores over<br />
1.5 on chromosomes several chromosomes, with a maximum<br />
NPL <strong>of</strong> 2.8. Several loci identified, including the one with the<br />
maximum NPL score, were in close proximity to loci<br />
identified in prior published OCD genome wide linkage<br />
studies. Bioinformatic pathway analysis <strong>of</strong> genes with max lod<br />
scores over 1.5 identified 11 genes at these loci that were<br />
involved in neurodevelopmental pathways that had less than 2<br />
degrees <strong>of</strong> separation. Discussion: The results <strong>of</strong> this study<br />
provide additional evidence <strong>of</strong> several genetic loci conferring<br />
susceptibility to OCD, and suggest neurodevelopmental<br />
pathways where several loci may interact in the pathology <strong>of</strong><br />
this disease.<br />
S10.7 TIC SYMPTOM DIMENSIONS AND THEIR<br />
HERITABILITY IN TOURETTE’S SYNDROME<br />
M. de Haan (1), K. Delucchi (2), D. Cath* (3), C. Mathews<br />
(2)<br />
1. Department <strong>of</strong> Psychiatry, VU University 2. Department <strong>of</strong><br />
Psychiatry, UCSF 3. Department <strong>of</strong> clinical psychology,<br />
Utrecht University<br />
* cath@xs4all.nl<br />
Objective: Gilles de la Tourette’s disorder (GTS) is both<br />
genotypically and phenotypically heterogeneous. Factor<br />
analytic strategies to reduce symptom heterogeneity are useful<br />
for unravelling heritability patterns and genetic susceptibility<br />
genes for GTS. Method: A self-report questionnaire for<br />
multiple tic symptoms was collected in two large Caucasian<br />
cohorts (UCSF San Francisco; VU University Amsterdam),<br />
totalling 494 patients. Item-level factor analysis using a<br />
tetrachoric correlation matrix in Mplus version 5.1 was<br />
conducted on twenty-six tic symptom variables that<br />
overlapped between the two samples. Heritability analysis was<br />
conducted for the resulting symptom dimensions using<br />
Sequential Oligogenic Linkage Analysis Routine (SOLAR) in<br />
a subset <strong>of</strong> subjects and their family members. Results: Three<br />
factors were identified: 1) Complex vocal tics & obscene<br />
behaviour; 2) Motor body tics; and 3) Motor head tics. The<br />
heritability analysis showed moderate heritability (h2= 10%),<br />
for factor 3 only. Conclusion/Discussion: The factor analytic<br />
results <strong>of</strong> this study are in line with a previous category-based<br />
FA study (Robertson et al., 2008) and a Latent Class Analytic<br />
study (Mathews et al., 2007). The heritability analyses suggest<br />
that the tic symptom dimension encompassing simple facial<br />
motor tics is heritable. These findings have consequences for<br />
future genetic studies in GTS, although the findings need<br />
replication in independent samples.
S11 PHARMACOGENETICS OF<br />
PSYCHIATRIC TREATMENTS – ARE WE<br />
READY FOR THE CLINIC?<br />
S11.1 PHARMACOGENETICS OF ATYPICAL<br />
ANTIPSYCHOTIC EXPOSURE, FOLATE<br />
METABOLISM, CARDIOVASCULAR DISEASE, AND<br />
ENDOTHELIAL FUNCTIONING<br />
V. Ellingrod* (1), T. Grove (1), S. Taylor (1), J. Moline (2),<br />
D. Miller (3)<br />
1. University <strong>of</strong> Michigan College <strong>of</strong> Pharmacy and School <strong>of</strong><br />
Medicine, Department <strong>of</strong> Psychiatry 2. Cleveland Clinics 3.<br />
University <strong>of</strong> Iowa Carver College <strong>of</strong> Medicine, Department<br />
<strong>of</strong> Psychiatry<br />
* vellingr@umich.edu<br />
Purpose: To examine the relationship between the<br />
methylenetetrahydr<strong>of</strong>olate reductase (MTHFR) 677C/T<br />
variant, metabolic syndrome, and endothelial functioning in<br />
schizophrenia and bipolar subjects receiving antipsychotics for<br />
≥ 6 months. Methods: 157 subjects were recruited from the<br />
Universities <strong>of</strong> Iowa and Michigan and screened<br />
cross-sectionally for the metabolic syndrome (NCEP ATP-III<br />
criteria), MTHFR genotype, plasma folate, vitamin B12,<br />
homocysteine, and endothelial functioning. Results: 60<br />
subjects (37%) met metabolic syndrome criteria. The group’s<br />
mean age (± s.d.) was 41.75 ± 11.65 years, 81% were<br />
Caucasian, 52% were male, mean BMI was 31.04 ± 7.53<br />
kg/m2 and 68% were receiving an atypical antipsychotic<br />
(AAP). There were no differences in age, gender, race, AAP<br />
exposure, or BMI between the genotype groups. Overall, a<br />
significant relationship was found between the TT genotype,<br />
AAP use, and metabolic syndrome (c2 = 6.44, p = 0.011). TT<br />
subjects receiving an AAP had a relative risk <strong>of</strong> 2.27 (95% CI:<br />
1.52-3.37) for metabolic syndrome. This was not found for<br />
subjects not receiving AAPs (c2 = 0.617, p = 0.43). Higher<br />
plasma folate concentrations resulted in lower homocysteine<br />
levels for the CC genotype group, whereas no relationship was<br />
found for T allele carriers (F = 6.971, df = 3,88, p = 0.0003).<br />
Data analysis for the endothelial functioning suggests higher<br />
folate plasma concentrations positively correlate with better<br />
endothelial functioning. Conclusion: Overall, results suggest<br />
that MTHFR genotype, AAPs exposure and folate, may be<br />
associated with metabolic complications and CVD in<br />
schizophrenia and bipolar subjects. However, due to the small<br />
sample size results should be taken cautiously.<br />
Acknowledgements: This project was supported by the NIMH<br />
(K08 MH64158), the NIH-NCRR, General Clinical Research<br />
Centers Program (M01-RR-59 and UL1RR024986), a<br />
University <strong>of</strong> Michigan College <strong>of</strong> Pharmacy Vahlteich<br />
Award, National Alliance on Research in Schizophrenia and<br />
Depression (NARSAD), and Washtenaw Community Health<br />
Organization (WCHO).<br />
S11.2 VARIANTS OF ABC TRANSPORTERS:<br />
CURRENT RELEVANCE IN PSYCHIATRY<br />
L. DeVane (1)<br />
1. <strong>Medical</strong> University <strong>of</strong> South Carolina<br />
* devaneL@musc.edu<br />
In addition to their role in gastrointestinal drug absorption,<br />
hepatic, and renal elimination, several ABC transporter<br />
proteins are expressed in tissues where their activity<br />
can influence the efficacy and safety <strong>of</strong> psychoactive drugs.<br />
These include P-glycoprotein (P-gp), breast cancer resistance<br />
protein (BCRP), multidrug resistance proteins 1-3 (MRP1-3),<br />
and others localized in endothelial cells <strong>of</strong> cerebral capillaries<br />
comprising the blood brain barrier (BBB). A similar cadre <strong>of</strong><br />
transporters in trophoblastic cells <strong>of</strong> the placenta modify fetal<br />
drug exposure during pregnancy, a period <strong>of</strong> great concern for<br />
the pharmacologic treatment <strong>of</strong> mental illness. About 35% <strong>of</strong><br />
women take at least one psychoactive drug during their<br />
pregnancy. The major antipsychotic and antidepressant drugs,<br />
and opioid analgesics, are substrates for one or more <strong>of</strong> these<br />
transporters. In rodents, both induction and inhibition <strong>of</strong><br />
transporter activity can be shown to affect brain and fetal<br />
exposure to psychoactive drugs as well as producing<br />
alterations in relevant pharmacologic activity. Emerging data<br />
support the choice <strong>of</strong> specific psychoactive drugs for clinical<br />
use should consider both their ABC transporter substrate<br />
status as well as patient genotype for transporter expression.
S11.3 PHARMACOGENETICS OF SSRI ASSOCIATED<br />
SEXUAL DYSFUNCTION AND MEDICATION<br />
INTOLERANCE<br />
J. Bishop* (1)<br />
1. Departments <strong>of</strong> Pharmacy Practice and Psychiatry,<br />
University <strong>of</strong> Illinois at Chicago<br />
* jbishop@uic.edu<br />
Sexual dysfunction is a common and disconcerting side effect<br />
<strong>of</strong> selective serotonin reuptake inhibitors (SSRIs) that<br />
influences a patient’s desire to continue long-term<br />
antidepressant treatment. Studies specifically assessing<br />
changes in sexual well-being over time illustrate that the<br />
incidence <strong>of</strong> sexual side effects from SSRIs ranges from 20 to<br />
70% depending on the characteristics <strong>of</strong> the study sample<br />
assessed. Developing strategies to predict who may be at the<br />
highest risk for adverse changes in their sexual well-being is<br />
an important step in improving the quality <strong>of</strong> life and<br />
treatment <strong>of</strong> patients who require antidepressant agents.<br />
Although initial studies investigating antidepressant<br />
pharmacogenetics focused on predicting treatment response,<br />
an increasing number <strong>of</strong> studies have recently focused on<br />
identifying genetic markers <strong>of</strong> medication intolerance. Studies<br />
investigating medication intolerance in general, as well as<br />
more specific lasting side-effects such as sexual dysfunction<br />
have identified common genetic variations in serotonin and<br />
glutamate system genes along with clinical variables that may<br />
predict risk for these outcomes in patients taking<br />
antidepressants. The results <strong>of</strong> studies investigating genetic<br />
variations in drug metabolism enzymes and their relationships<br />
to antidepressant-associated adverse effects have been mixed.<br />
Continued efforts to identify the relationships between genetic<br />
markers and antidepressant outcomes and to translate this<br />
knowledge to patient care has the potential to significantly<br />
improve the empiric selection <strong>of</strong> antidepressant agents and to<br />
minimize the risk for intolerable side effects that may<br />
compromise long term treatment.<br />
S11.4 VARIANTS OF THE SEROTONIN SYSTEM AND<br />
BONE MINERALIZATION IN BOYS TREATED WITH<br />
SELECTIVE SEROTONIN REUPTAKE INHIBITORS<br />
C. Calarge* (1), V. Ellingrod (2), M. Bliziotes (3), W.<br />
Coryell (1)<br />
1. University <strong>of</strong> Iowa 2. University <strong>of</strong> Michigan 3. Oregon<br />
Health and Science University<br />
* chadi-calarge@uiowa.edu<br />
Objective: To investigate whether genetic variants <strong>of</strong> the<br />
serotonin (5HT) system moderate the effect <strong>of</strong> selective<br />
serotonin reuptake inhibitors (SSRIs) on bone mineral density<br />
(BMD) in boys. Methods: Healthy, 7-17 year-old<br />
non-Hispanic Caucasian boys, treated with risperidone for ≥ 6<br />
months, were included in this analysis. We measured BMD at<br />
the lumbar spine using dual x-ray absorptiometry and total and<br />
trabecular BMD at the distal radius using peripheral<br />
quantitative computerized tomography. Genotyping <strong>of</strong><br />
selected polymorphisms <strong>of</strong> the genes transcribing the 5HT<br />
transporter (5HTTLPR and Stin2 VNTR) and 5HT receptors<br />
1A (A(-1019)C), 1B (G861C), 1D (T1350C), and 2A<br />
(A(-1438)G) was done following standard procedures.<br />
Results: The mean age <strong>of</strong> the sample was 12.1 years<br />
(SD=2.7). Of 71 boys enrolled, 41 (58%) received an SSRI<br />
for a median <strong>of</strong> 3.1 years (IQR=2.9). SSRI-treated boys were<br />
less physically active and more likely to have a depressive, an<br />
anxiety, or a pervasive developmental disorder compared to<br />
those not taking SSRIs. Using multiple linear regression<br />
analysis, after controlling for the relevant covariates, we found<br />
a trend for the 5-HTTLPR genotype x SSRI treatment<br />
interaction effect to be significant in predicting lumbar spine<br />
BMD Z-score (p=0.055). In fact, the largest detrimental effect<br />
<strong>of</strong> SSRIs on the lumbar BMD Z-score was noted among boys<br />
with the ‘ls’ genotype (Cohen’s d= 1.04, p
S11.5 CYP450 GENOTYPING IN THE CLINICAL USE<br />
OF ANTIPSYCHOTIC AND ANTIDEPRESSANT DRUG<br />
TREATMENT<br />
D. Müller* (1), R. Hwang (2), A. Tiwari (2), J. Sturgess (1),<br />
C. Zai (2), J. Lieberman (3), P. Richter (4), J. Kennedy (2)<br />
1. Pharmacogenetics Research Clinic, Centre for Addiction<br />
and Mental Health, Toronto, Canada 2. Neurogenetics Section,<br />
Centre for Addiction and Mental Health, Toronto, Canada 3.<br />
Dept. <strong>of</strong> Psychiatry, Columbia University, NY 4. Sunnybrook<br />
Health Sciences Center, Toronto<br />
* daniel_mueller@camh.net<br />
Introduction: A substantial number <strong>of</strong> antidepressant and<br />
antipsychotic medications are metabolized by the liver<br />
cytochrome P450 enzymes (CYP450) CYP2D6 and<br />
CYP2C19. An individual’s genetic makeup allows for<br />
classification by phenotype as poor (PM), intermediate (IM),<br />
extensive or normal (EM), or ultra rapid drug metabolizers<br />
(UM). The AmpliChip CYP450 Test provides genotyping<br />
<strong>of</strong> CYP2D6 and CYP2C19 enzymes using microarray<br />
technology which combines DNA hybridization with<br />
fluorescent labeling. Methods: In our study we used 74<br />
AmpliChips to analyze for an association<br />
between metabolizer with response pattern to antipsychotics (n<br />
= 23) and occurrence <strong>of</strong> tardive dyskinesia (TD; n = 12) in<br />
patients with schizophrenia as well as response to<br />
antidepressants in a sample <strong>of</strong> patients affected with OCD (n =<br />
39). <strong>Medical</strong> records were also reviewed in cases who were<br />
non-extensive metabolizers to assess the individual course <strong>of</strong><br />
treatment response and side effects. Response was assessed<br />
with clinical assessment scales such as CGI and<br />
PANSS whereas severity <strong>of</strong> TD was assessed by using AIMS<br />
scores. Results: Most patients were extensive metabolizers<br />
limiting statistical power. Overall, no association could be<br />
detected between patients' metabolizer status and response to<br />
antipsychotics, antidepressants or TD occurrence. However, a<br />
significant association was observed in patients who<br />
were CYP2D6 rapid metabolizers and non-response in<br />
treatment trials with various CYP2D6 metabolized<br />
antidepressant (p = .006). Conclusion: Our results suggest that<br />
genotyping <strong>of</strong> CYP450 genes is a useful tool to optimize<br />
clinical drug treatment for particular individuals.<br />
S12 UNDERSTANDING NORMAL<br />
VARIATION IN BRAIN STRUCTURE AND<br />
FUNCTION WILL<br />
INFORM PSYCHIATRIC GENETICS<br />
S12.1 HERITABILITY OF FMRI RESPONSE IN<br />
YOUNG ADULT TWINS<br />
N. Martin* (1)<br />
1. Queensland Inst <strong>Medical</strong> Research<br />
* nick.martin@qimr.edu.au<br />
While structural MRI studies consistently show a moderate to<br />
strong influence <strong>of</strong> genes on brain structure, it is largely<br />
unknown to what extent individual differences in neural<br />
activity, as captured by fMRI, are influenced by genetic and<br />
environmental factors. Working memory related brain<br />
activation has been widely studied using the N-back working<br />
memory task, and inefficient or abnormal function is evident<br />
in several neurodegenerative and neuropsychiatric disorders,<br />
and in the healthy siblings <strong>of</strong> patients for some disorders.<br />
Deficits in physiological function may be therefore not only<br />
associated with a disease, but also may reflect familial<br />
(possibly genetic) factors predisposing to the disorder. Using a<br />
regions <strong>of</strong> interest analysis we investigated the heritability <strong>of</strong><br />
brain activation during the N-back working memory task in a<br />
sample <strong>of</strong> 120 young adult twins and provided the first support<br />
that individual variation in working memory related brain<br />
activation is to some extent influenced by genes, with<br />
(non-significant) heritability estimates (14-30%) in the<br />
low-moderate range. Most recently we have extended this to a<br />
voxel-by-voxel analysis in a much larger sample (315 twins).<br />
Overall the MZ twin correlations are significantly larger than<br />
the DZ correlations, and there is good test-retest reliability for<br />
a sub-sample (N=40) <strong>of</strong> twins that were scanned twice. Our<br />
work establishes that there are significant genetic influences<br />
on working memory brain activation, and that there are also<br />
sizeable environmental effects on brain activation, which are<br />
largely due to unique environmental factors rather than<br />
measurement error.
S12.2 GENETIC ANALYSIS FOR NORMAL<br />
VARIATION IN COGNITION, SLEEP AND SEASONAL<br />
RHYTHMS: EXPERIENCES FROM TWIN AND<br />
POPULATION-BASED STUDIES FROM FINLAND<br />
T. Paunio* (1)<br />
1. Public Health Genomics Unit, National Institute for Health<br />
and Welfar<br />
* tiina.paunio@thl.fi<br />
Understanding genetic background for normal variation in<br />
brain structure and function is likely to provide insight into<br />
illnesses associated with related processes, such as impaired<br />
cognition in schizophrenia or disturbed sleep in mood<br />
disorders. We evaluated the contribution <strong>of</strong> AKT1, encoding<br />
the protein kinase B and previously associated with the genetic<br />
etiology <strong>of</strong> schizophrenia and bipolar disorder, to cognition<br />
and brain structure in a Finnish twin sample comprising both<br />
control pairs as well as pairs affected with schizophrenia or<br />
bipolar disorder. We found association <strong>of</strong> an AKT1 allele<br />
defined by a variation in the UTR with verbal learning and<br />
memory (P = 0.0005) and, moreover, a higher degree <strong>of</strong><br />
resemblance in pairs sharing the genotype. The same allele<br />
also associated with decreased gray matter density in medial<br />
and dorsolateral prefrontal cortex, suggesting that and AKT1<br />
may exert its effect on verbal cognitive processes via neural<br />
networks involving prefrontal cortex (Pietiläinen et al,<br />
2009).In an approach ultimately aiming to reveal genetic<br />
background for disturbed mood, we searched for genetic<br />
influences determining variation in sleep, known to be<br />
affected in most patients with a mood disorder. In our previous<br />
study in Finnish twins we found that depressed mood, as<br />
measured by life dissatisfaction, predicted a consistent pattern<br />
<strong>of</strong> life dissatisfaction (OR = 2.1), whereas life dissatisfaction<br />
did not consistently predict poor sleep. The shared genetic<br />
component between sleep quality and life dissatisfaction was<br />
relatively weak, consistent with the hypothesis that poor sleep<br />
may have direct effects on the brain, emotions, and mood<br />
(Paunio et al. 2009). We then searched for genetic background<br />
for variation in normal sleep length and seasonal rhythms in<br />
2200 Finnish individuals from a population-based Health 2000<br />
project by a genome-wide DNA association analysis. We<br />
found several new genes and variants that associated to total<br />
sleep length. Interestingly, the gene ontology analysis showed<br />
that sleep length and seasonal changes in mood share common<br />
genes and molecular pathways. Altogether, the data evidences<br />
for a strong genetic background for variation in normal sleep<br />
and seasonal rhythms and the findings will have implication in<br />
our understanding patophysiological processes <strong>of</strong> common<br />
diseases related to disturbed sleep, such as mood disorders.<br />
Acknowledgments: Pietiläinen OP, Loukola A,<br />
Tuulio-Henriksson A, Kieseppä T, Thompson P, Toga AW,<br />
van Erp TG, Silventoinen K, Soronen P, Hennah W, Turunen<br />
JA, Wedenoja J, Palo OM, Silander K, Lönnqvist J, Kaprio J,<br />
Cannon TD, and Peltonen L for the study on AKT1 in twins;<br />
Korhonen T, Hublin C, Partinen M, Kivimäki M, Koskenvuo<br />
M, and Kaprio J. for the analysis <strong>of</strong> life dissatisfaction and<br />
sleep quality in twins; Ollila HM, Partonen T, Kronholm E,<br />
Männistö S, Lönnqvist J, Salomaa V, Peltonen L, Perola M,<br />
and Porkka-Heiskanen T for the study on sleep length and<br />
seasonal rhythms in Health 2000; Academy <strong>of</strong> Finland (grant<br />
124404 to Paunio T) References: Pietiläinen OP, Paunio T,<br />
Loukola A, et al. (2009) Association <strong>of</strong> AKT1 with verbal<br />
learning, verbal memory, and regional cortical gray matter<br />
density in twins. Am J Med Genet B Neuropsychiatr Genet.<br />
2009 Jul 5;150B(5):683-92. Paunio T, Korhonen T, Hublin C,<br />
et al. (2009) Longitudinal study on causality and genetic risk<br />
factors for the association between poor sleep and life<br />
dissatisfaction in a nationwide cohort <strong>of</strong> twins. Am J<br />
Epidemiol. 169(2):206-13.<br />
S12.3 A GENETIC INVESTIGATION OF<br />
SCHIZOPHRENIA ENDOPHENOTYPES IN A<br />
NEPALESE POPULATION GENETIC ISOLATE<br />
T. Sitnikova (1), M. Hall (2), J. Subedi (3), S. Ojha (4), S.<br />
Park (5), J. VandeBerg (6), J. Blangero (6), S.<br />
Williams-Blangero (6), S. Santangelo* (1, 7)<br />
1. Harvard <strong>Medical</strong> School, Dept Psychiatry, Boston, MA,<br />
USA 2. Psychology Research Laboratory, McLean Hospital,<br />
Belmont, MA, USA 3. Miami University, Dept. Sociology,<br />
Gerontology, Oxford, OH, USA 4. Tribhuvan University<br />
Institute <strong>of</strong> Medicine, Dept. Psychiatry, Kathmandu, Nepal 5.<br />
Dept. Psychology Vanderbilt University, Nashville, TN, USA<br />
6. Southwest Foundation for Biomedical Research, San<br />
Antonio, TX, USA 7. Center for Human Genetic Research,<br />
Massachusetts General Hospital, Boston, MA, USA<br />
* ssantangelo@pngu.mgh.harvard.edu<br />
Schizophrenia endophenotypes were measured in a population<br />
genetic isolate in Jiri, Nepal, encompassing over 2500<br />
surveyed individuals in one extended pedigree. This is both an<br />
epidemiological sample (complete ascertainment <strong>of</strong> 4 <strong>of</strong> 7<br />
villages) and a pedigree sample. The amplitude and latency <strong>of</strong><br />
the N100, N200, and P300 electrophysiological evoked<br />
potentials (ERPs), as well as the power <strong>of</strong> evoked and induced<br />
oscillatory brain activity in the gamma-band range (35-45Hz),<br />
were measured during an auditory "oddball" paradigm. The<br />
P50 ERP amplitude was measured in a double-click paradigm.<br />
In addition, performance was tested on cognitive tasks,<br />
including go-no-go, set shifting, strategic target detection, and<br />
spatial working memory. Several other tasks in the original<br />
battery were discontinued when they were found to be<br />
excessively language- or culture-bound. Data collection just<br />
ended, and data are being analyzed for the 960 individuals<br />
who participated in these studies. Each <strong>of</strong> the heritable<br />
measures is subjected to a genome-wide linkage analysis,<br />
using a 10 cM microsatellite marker set. A new genome scan,<br />
using the Illumina v. 610 SNP array, is in progress. Analysis<br />
<strong>of</strong> the cognitive test data is ongoing. However, we found<br />
significant linkage to at least one <strong>of</strong> the ERPs (P300 amplitude<br />
measured at the Pz electrode, at chromosome 2p15, reported<br />
elsewhere at this meeting) and suggestive linkage to others<br />
(e.g. induced gamma measured at the P4 electrode at 2p13).<br />
Genes in this region include sepiapterin reductase, an enzyme<br />
required forsynthesis <strong>of</strong> tetrahydrobiopterin (BH4), an<br />
essential c<strong>of</strong>actor for synthesis <strong>of</strong> many neurotransmitters,<br />
including serotonin.
S12.4 GENOME-WIDE COMBINED<br />
LINKAGE/ASSOCIATION SCAN LOCALIZES TWO<br />
QTLS INFLUENCING HUMAN CAUDATE NUCLEUS<br />
VOLUME<br />
D. Glahn* (1), A. Winkler (1), J. Curran (2), M. Carless (2), J.<br />
Charlesworth (2), M. Johnson (2), H. Göring (2), T. Dyer (2),<br />
E. Moses (2), L. Almasy (2), P. Fox (3), P. Kochunov (3), R.<br />
Duggirala (2), J. Blangero (2)<br />
1. Yale University & Olin Neuropsychiatric Research Center,<br />
Institute <strong>of</strong> Living 2. Department <strong>of</strong> Genetics, Southwest<br />
Foundation for Biomedical Research 3. Research Imaging<br />
Center, UT Health Science Center at San Antonio<br />
* david.glahn@yale.edu<br />
The caudate nucleus (CN), a brain region located within the<br />
basal ganglia, is associated with higher-order motor control,<br />
learning and memory, feedback processing, language and<br />
other executive functions. The CN, which is innervated by<br />
dopaminergic neurons, is thought to be a locus <strong>of</strong> pathology<br />
for several neurological and psychiatric disorders (e.g.<br />
Schizophrenia and Bipolar Disorder). While the size and<br />
function <strong>of</strong> the CN are thought to be under genetic control, the<br />
genes influencing the volume <strong>of</strong> this brain region are<br />
unknown. To better understand the genetic basis <strong>of</strong> CN<br />
volume variation in the normal population, we undertook the<br />
first large-scale genome-wide search for genes influencing<br />
human brain structure. We collected high-resolution<br />
T1-weighted MRI scans from approximately 400<br />
Mexican-American individuals from 30 extended pedigrees<br />
who participated in the Genetics <strong>of</strong> Brain Structure and<br />
Function study and who have Illumina HumanHap 550K SNP<br />
genotyping available. Imaging data was analyzed with<br />
FreeSurfer and genetic analyses were performed with SOLAR.<br />
The heritability <strong>of</strong> CN volume was estimated to be 0.685<br />
(p=2.3×10-10). Combined linkage/association analysis<br />
identified two regions exhibiting genome-wide significant<br />
evidence for harboring QTLs influencing caudate volume.<br />
One QTL was localized on chromosome 7p22 with a strongly<br />
associated SNP in the PRKAR1B gene (nominal p-value =<br />
2.3×10-8, genome-wide p-value = 0.02). This gene codes for<br />
the protein kinase, cAMP-dependent, regulatory, type I, beta,<br />
which is involved in brain development and linked to poor<br />
memory. Examination <strong>of</strong> the potential pleiotropic associations<br />
<strong>of</strong> this SNP with neurocognitive function revealed significant<br />
associations with processing speed (p = 0.005), episodic<br />
memory (p = 0.04) and working memory (p=0.05). Thus, this<br />
QTL appears to influence both brain structure and function. A<br />
second QTL influencing caudate volume was localized to<br />
chromosomal region 2p12 with strong association to a SNP<br />
near the LRRTM4 gene (nominal p-value = 1.3×10-7,<br />
genome-wide p-value = 0.049) which codes for a neuronal<br />
protein <strong>of</strong> unknown function. Given the strength <strong>of</strong> these<br />
signals, we are currently deeply sequencing these genes to<br />
identify potential functional variants. Dissection <strong>of</strong> the genetic<br />
basis <strong>of</strong> normal human brain structural variation should lead to<br />
the identification <strong>of</strong> genes likely to be involved in disorders <strong>of</strong><br />
brain structure/function.<br />
S12.5 GENOMIC AND TRANSCRIPTOMIC<br />
APPROACHES TO IDENTIFYING GENES<br />
INFLUENCING COGNITION AND NEUROANATOMY<br />
L. Almasy* (1), M. Carless (1), J. Curran (1), M. Zlojutro (1),<br />
H. Goring (1), T. Dyer (1), R. Duggirala (1), D. Glahn (2), J.<br />
Blangero (1)<br />
1. Southwest Foundation for Biomedical Research, San<br />
Antonio, TX, USA 2. Yale University, New Haven, CT, USA<br />
* almasy@sfbrgenetics.org<br />
This presentation will discuss the rationale for studying<br />
normal variation in brain structure and function and how such<br />
studies provide insight into genetics <strong>of</strong> psychiatric disorders.<br />
Examples will be provided from the Genetics <strong>of</strong> Brain<br />
Structure and Function Study, which makes use <strong>of</strong> an existing<br />
resource <strong>of</strong> large Mexican American families in San Antonio,<br />
Texas, for which a GWAS and genome-wide transcription<br />
pr<strong>of</strong>iling in lymphocytes have already been completed.<br />
Individuals from these families are currently being recalled for<br />
cognitive testing, structural MRI, and psychiatric screening.<br />
Currently this data is available for 1000 individuals. This<br />
resource is being used to 1) document heritability <strong>of</strong> potential<br />
psychiatric endophenotypes; 2) assess pleiotropic influences<br />
among these quantitiative risk factors and between<br />
endophenotypes and high prevalence disorders such as<br />
depression and substance abuse; 3) localize genes influencing<br />
normal variation in brain structure and function in which<br />
other, more extreme, genetic variants might influence risk <strong>of</strong><br />
psychiatric disorder; 4) identify upstream genes regulating<br />
expression <strong>of</strong> previously identified genes important for<br />
psychiatric phenotypes; 5) identify downstream genes whose<br />
expression is regulated by genes <strong>of</strong> interest for psychiatric<br />
disorders.
S13 ANOREXIA NERVOSA – GENES OR<br />
JEANS<br />
S13.1 A GENOME-WIDE ASSOCIATION STUDY IN<br />
PATIENTS WITH ANOREXIA NERVOSA<br />
K. Wang* (1), H. Zhang (1), C. Bloss (2), N. Schork (2), W.<br />
Berrettini (3), H. Hakonaron (1), P. Collaborative Group (4)<br />
1. Children's Hospital <strong>of</strong> Philadelphia 2. Scripps Translational<br />
Science Institute 3. University <strong>of</strong> Pennsylvania 4. Price<br />
Foundation<br />
* tumorim@gmail.com<br />
Anorexia nervosa (AN) is a serious psychiatric illness<br />
characterized by restricted eating and obsessive fears <strong>of</strong> being<br />
fat, with an inability to maintain a normal healthy body<br />
weight. The current prevalence estimates ranged from 0.1% to<br />
5.7% in female subjects in Western countries. The heritability<br />
<strong>of</strong> anorexia is estimated to be 56%, with sibling relative risk <strong>of</strong><br />
11.3, implicating a strong genetic component in anorexia<br />
susceptibility, most <strong>of</strong> which remains uncovered. To identify<br />
genetic risk factors for anorexia, we carried out a<br />
genome-wide association study (GWAS) on 1,016 female<br />
cases and 1,796 female control subjects, all <strong>of</strong> whom were <strong>of</strong><br />
European ancestry and were genotyped on the Illumina<br />
HumanHap610 platform. The top association results were<br />
examined in a separate cohort <strong>of</strong> 24 cases and 648 control<br />
subjects <strong>of</strong> European ancestry genotyped on the<br />
HumanHap550 platform. Several SNPs residing between<br />
CDH10 (cadherin 10) and CDH9 (cadherin 9) – a locus<br />
previously implicated in autism spectrum disorders -<br />
demonstrated genome-wide significance (most significant<br />
P=1.5x10-8). Analysis <strong>of</strong> previously reported AN-associated<br />
SNPs replicated association with OPRD1 (rs1042114,<br />
P=0.02), but failed to detect association with HTR1D<br />
(rs7532266, P=0.83). Furthermore, nominal significance was<br />
observed for SNPs near DRD2 (rs10891556, P=0.0023), near<br />
HTR2A (rs7331274, P=0.0025), near HTR1B (rs6454038,<br />
P=0.0048), within HTR7 (rs7920627, P=0.0048), near DRD3<br />
(rs9825563 , P=0.0087), near CNR1 (rs9344757, P=0.0058),<br />
but they do not survive corrections for multiple testing <strong>of</strong><br />
SNPs within or near each gene. Taken together, we have<br />
identified a genome-wide significant locus in AN and<br />
replicated OPRD1, demonstrating the utility <strong>of</strong><br />
whole-genome, unbiased survey in identifying novel genomic<br />
regions and confirming previously reported candidate genes.<br />
S13.2 GENOME-WIDE ASSOCIATION OF<br />
PERSONALITY TRAITS IN INDIVIDUALS WITH<br />
ANOREXIA NERVOSA<br />
C. Bloss* (1), K. Wang (2), W. Berrettini (3), A. Bergen (4),<br />
P. Magistretti (5), W. Kaye (6), H. Hakonarson (2), N. Schork<br />
(1)<br />
1. Scripps Translational Science Institute 2. Children's<br />
Hospital <strong>of</strong> Philadelphia 3. University <strong>of</strong> Pennsylvania 4. SRI<br />
International 5. University <strong>of</strong> Lausanne 6. University <strong>of</strong><br />
California, San Diego<br />
* cbloss@scripps.edu<br />
Several studies have shown that certain facets <strong>of</strong> personality<br />
differ markedly between women with anorexia nervosa (AN)<br />
and controls, as well as between women with different<br />
subtypes <strong>of</strong> AN. As such, certain temperament traits have<br />
been hypothesized to both predispose to AN, as well as predict<br />
illness course and response to treatment. Given these<br />
observations, coupled with the known moderate heritability <strong>of</strong><br />
temperament, we investigated the extent to which common<br />
genetic polymorphisms may underlie aspects <strong>of</strong> personality in<br />
this disorder by conducting a genome-wide association study<br />
<strong>of</strong> the Temperament and Character Inventory (TCI) in women<br />
with AN. Participants were n = 1,001 women with AN<br />
enrolled in the Price Foundation Collaborative Study <strong>of</strong><br />
Anorexia and Bulimia Nervosa. Participants were all <strong>of</strong><br />
European ancestry and were administered the TCI and<br />
genotyped on the Illumina HumanHap610 platform. In<br />
addition to standard univariate quantitative trait association<br />
analyses conducted with each temperament scale <strong>of</strong> the TCI,<br />
several multivariate analytic approaches were also leveraged<br />
to assess genetic association with TCI pr<strong>of</strong>iles. Standard<br />
univariate analyses revealed different associations (p < 5 x<br />
10-6) for each scale <strong>of</strong> the TCI, including SNPs near RNF165<br />
for harm avoidance, ZNF645 for novelty seeking, BTG3 for<br />
reward dependence, and RBAK for persistence. Furthermore,<br />
analyses that included relevant covariates, as well as cluster<br />
and other multivariate approaches identified additional regions<br />
<strong>of</strong> interest. Findings suggest novel genes that may underlie<br />
single dimensions <strong>of</strong> personality, as well as personality<br />
pr<strong>of</strong>iles in anorexia nervosa.
S13.3 GENETICALLY MEDIATED, PRE-MORBID<br />
VULNERABILITIES OF TEMPERAMENT AND<br />
PERSONALITY IN ANOREXIA AND BULIMIA<br />
NERVOSA<br />
W. Kaye* (1)<br />
1. University <strong>of</strong> California San Diego<br />
* whkaye@gmail.com<br />
Many individuals desire to diet and lose weight, but relatively<br />
few develop an eating disorder. Recent studies show that<br />
certain childhood temperament and personality traits such as<br />
negative emotionality, harm avoidance, perfectionism,<br />
inhibition, drive for thinness, altered interoceptive awareness,<br />
and obsessive-compulsive personality, create a vulnerability<br />
for developing anorexia nervosa (AN) and bulimia nervosa<br />
(BN). Moreover, studies done on 3 continents have shown that<br />
for AN and BN individuals with a lifetime history <strong>of</strong> an<br />
anxiety disorder diagnosis, the anxiety disorder most <strong>of</strong>ten<br />
began in childhood before the onset <strong>of</strong> the ED. Such<br />
symptoms may be susceptibility factors that make people<br />
vulnerable to developing an ED. Malnutrition tends to<br />
exaggerate these premorbid behavioral traits after the onset <strong>of</strong><br />
the illness. The process <strong>of</strong> recovery in AN is poorly<br />
understood and, in most cases, protracted. Still,<br />
approximately 50% to 70% <strong>of</strong> affected individuals will<br />
eventually have complete or moderate resolution <strong>of</strong> the illness,<br />
<strong>of</strong>ten in the early to mid 20’s. It is important to emphasize<br />
that temperament and personality traits such as negative<br />
emotionality, harm avoidance and perfectionism, obsessional<br />
behaviors (particularly symmetry, exactness, and order) persist<br />
after recovery from both AN and BN and are similar to the<br />
symptoms described premorbidly in childhood. Compared to<br />
the ill state, symptoms in REC AN and BN tend to be mild to<br />
moderate. Interestingly, REC AN and BN tend to be more<br />
alike than different on many <strong>of</strong> these measures, although there<br />
are some differences on factors related to impulse control or<br />
stimuli seeking, such as novelty seeking. In summary,<br />
individuals with restricting type AN are more likely to have<br />
restricted eating, constricted affect and emotional mood<br />
expression, and impulse over control, as well as personality<br />
traits <strong>of</strong> marked rigidity, conformity, and reduced social<br />
spontaneity. Individuals with BN may show similar traits, but<br />
in addition, may exhibit histories <strong>of</strong> episodic overeating,<br />
extremes <strong>of</strong> intense affect, and impulse dysregulation. AN<br />
and BN most commonly develop during adolescence or young<br />
adulthood 19 in proximity to puberty. Adolescence is a time<br />
<strong>of</strong> pr<strong>of</strong>ound biological, psychological and sociocultural<br />
change, and it demands a considerable degree <strong>of</strong> flexibility to<br />
successfully manage the transition into adulthood.<br />
Psychologically, change may challenge the rigidity <strong>of</strong> those at<br />
risk for AN and BN, and thus open a window <strong>of</strong> vulnerability.<br />
Thus these vulnerabilities, which are biologically mediated,<br />
may significantly enhance the risk <strong>of</strong> onset <strong>of</strong> an ED,<br />
particularly in women.<br />
S13.4 THE PRICE FOUNDATION STUDIES – A<br />
RESOURCE FOR ANOREXIA NERVOSA RESEARCH<br />
A. Bergen* (1), The Price Foundation Collaborative Group<br />
1. SRI International<br />
* andrew.bergen@sri.com<br />
Over a period <strong>of</strong> ten years, a multinational collaboration<br />
ascertained over 1000 unrelated individuals with a DSM-IV<br />
diagnosis <strong>of</strong> anorexia nervosa in three separate studies<br />
encompassing family (sib-pair and trio) and unrelated<br />
collection methods, and nearly 700 unrelated individuals<br />
screened for DSM-IV diagnoses. A series <strong>of</strong> linkage studies in<br />
pedigrees and association analyses in both family based and<br />
unrelated individuals have been published. In particular, a<br />
series <strong>of</strong> linkage and association studies have identified<br />
significant linkage in the chr1p34-36 region and association at<br />
the genes coding for the delta opioid and 1D serotonin<br />
receptors in samples ascertained by this collaboration and in<br />
an independent sample. Despite this early example <strong>of</strong> a<br />
replicated association, candidate gene association studies in<br />
the world anorexia nervosa literature have been characterized<br />
by less than optimal sample sizes and incomplete investigation<br />
<strong>of</strong> gene variation at candidates. These limitations are being<br />
addressed using candidate gene and genome wide association<br />
approaches focusing on common variation, and candidate gene<br />
resequencing studies focusing on both common and rare<br />
variation, though limitations with respect to sample size and<br />
power continue to influence this field in common with all<br />
fields <strong>of</strong> genetic research, suggesting that additional<br />
technologies and collaborations will be necessary to promote<br />
further discovery. For example, biospecimens (DNA,<br />
lymphoblastoid cell lines, viably frozen cells) from both<br />
affected and unaffected individuals recruited in the Price<br />
Foundation studies are available and <strong>of</strong>fer the potential for<br />
genetical genomics studies, with appropriate and extensive<br />
control assessments to avoid confounding due to participant,<br />
biospecimen processing, cell line and technical characteristics.
S13.5 LARGE-SCALE CANDIDATE GENE<br />
RESEQUENCING IN ANOREXIA NERVOSA<br />
A. Scott* (1), C. Bloss (1), S. Murray (2), R. Tewhey (3), V.<br />
Bansal (1), O. Libiger (1), A. Torkamani (1), M. Shaw (2), J.<br />
Bishop (4), T. Price Foundation Collaborative Group, P.<br />
Magistretti (5), A. Bergen (6), W. Berrettini (7), A. Harris (8),<br />
W. Kaye (9), E. Topol (2), N. Schork (2)<br />
1. Scripps Translational Science Institute and The Scripps<br />
Research Institute 2. Scripps Genomic Medicine, Scripps<br />
Translational Science Institute and The Scripps Research<br />
Institute 3. Divison <strong>of</strong> Biological Sciences, University <strong>of</strong><br />
California, San Diego and The Scripps Research Institute 4.<br />
Life Technologies 5. Ecole Polytechnique Federale De<br />
Lausanne, Switzerland6. Molecular Genetics, SRI<br />
International 7. Center for Neurobiology and Behavior,<br />
University <strong>of</strong> Pennsylvania 8. Life Technologies 9. Eating<br />
Disorder Treatment & Research Program, Department <strong>of</strong><br />
Psychiatry, University <strong>of</strong> California, San Diego<br />
* ashleys@scripps.edu<br />
Anorexia nervosa (AN) is a complex psychiatric illness<br />
characterized by restricted eating patterns and an intense fear<br />
<strong>of</strong> weight gain. Current estimates place the incidence <strong>of</strong> AN<br />
between 3 and 8 per 100,000 persons per year, affecting<br />
women significantly more <strong>of</strong>ten than men. Although there is<br />
evidence <strong>of</strong> significant heritability (0.58-0.76) and genetic<br />
liability for anorexia, previous candidate gene and current<br />
genome-wide association (GWA) studies have elucidated only<br />
a small fraction <strong>of</strong> the genetic vulnerability for the disorder.<br />
Therefore, we are undertaking a large-scale sequence-based<br />
association study <strong>of</strong> anorexia to uncover highly penetrant rare<br />
variants associated with the disorder. Over the past 15 years,<br />
the Price Foundation has supported the collection <strong>of</strong> a large<br />
cohort <strong>of</strong> individuals with AN. To discover additional genetic<br />
variants that contribute to AN, we are resequencing<br />
approximately 1 Mb <strong>of</strong> exomic DNA in 400 women with<br />
restricting-subtype AN (RAN) and 100 control women using<br />
the Life Technologies SOLiD next-generation sequencing<br />
platform. Over 100 genes and genomic regions were selected<br />
based on results from previous GWA and candidate gene<br />
studies, as well as a priori neurobiologically relevant candidate<br />
genes. Targeted capture and amplification <strong>of</strong> conserved and<br />
exonic regions within these genes was performed using<br />
RainDance microdroplet-based emulsion PCR. In addition to<br />
case-control comparisons to identify sequence-based<br />
associations with RAN, we are also investigating<br />
neurobehavioral subclinical phenotypes within the RAN cases.<br />
This study has the potential to provide new insights into the<br />
spectrum <strong>of</strong> genetic variation in anorexia nervosa.<br />
S14 SUB-PHENOTYPES AND MACRO-<br />
PHENOTYPES IN MOOD DISORDERS<br />
S14.1 APPROACHES TO ANALYZING GWAS DATA<br />
IN BIPOLAR DISORDER USING INFORMATION<br />
ABOUT ITS CLINICAL HETEROGENEITY<br />
P. Zandi* (1), M. Pirooznia (2), P. Belmonte (2), F. Seiffudin<br />
(2), J. Judy (2), T. Phenome Group, J. Potash (2)<br />
1. Johns Hopkins University Bloomberg School <strong>of</strong> Public<br />
Health 2. Johns Hopkins University School <strong>of</strong> Medicine<br />
* pzandi@jhsph.edu<br />
Family, twin and adoption studies show that genetic factors<br />
play a significant role in the etiology <strong>of</strong> bipolar disorder.<br />
However, recent genome-wide association studies (GWAS)<br />
have yet to convincingly identify individual susceptibility<br />
genes with large effects on risk. This may be due to the fact<br />
that bipolar disorder is likely caused by multiple different<br />
genes with small effect sizes acting in complex pathways to<br />
illness. It is notable that bipolar disorder is clinically very<br />
heterogeneous. For example, data suggests the age at onset<br />
ranges anywhere from adolescence to old age with a median<br />
between 18-21 years <strong>of</strong> age, and that up to 58% <strong>of</strong> bipolar<br />
patients present with psychotic symptoms, 61% have a<br />
substance abuse disorder, 53% suffer with a co-morbid anxiety<br />
disorder, and 15% die from suicide. Some investigators have<br />
proposed that this clinical heterogeneity may reflect the<br />
underlying genetic heterogeneity <strong>of</strong> the disorder. Therefore,<br />
analytic methods that utilize information about the clinical<br />
heterogeneity <strong>of</strong> the disorder may facilitate the identification<br />
<strong>of</strong> relevant susceptibility genes. We explore three different<br />
genetic models that may explain how multiple genes<br />
contribute to the apparent clinical heterogeneity <strong>of</strong> bipolar<br />
disorder, including a heterogeneity model, a modifier model,<br />
and an epistatic model. We examine approaches for analyzing<br />
GWAS data to identify susceptibility genes and draw<br />
inferences about the model for how they contribute to risk.<br />
The approaches are compared through simulation and by<br />
application to real data.
S14.2 A GENOME- WIDE ASSOCIATION STUDY OF<br />
BIPOLAR DISORDER AND CO-MORBID MIGRAINE:<br />
IDENTIFICATION AND REPLICATION OF GENETIC<br />
ASSOCIATIONS IN THE 13Q14.1 REGION<br />
HARBOURING THE GENE KIAA0564<br />
K. Oedegaard* (1), T. Greenwood (2), S. Johansson (3), K.<br />
Jacobsen (3), A. Halmoy (3), O. Fasmer (4), H. Akiskal (2, 5),<br />
Bipolar Genome Study (BiGS), J. Haavik (9), J. Kelsoe (2, 5)<br />
1. University <strong>of</strong> Bergen, Moodnet Research Group, Haukeland<br />
University Hospital, Norway 2. Department <strong>of</strong> Psychiatry,<br />
University <strong>of</strong> California San Diego, La Jolla, CA, USA 3.<br />
Department <strong>of</strong> Biomedicine, University <strong>of</strong> Bergen, Norway 4.<br />
Department <strong>of</strong> Psychiatry, University <strong>of</strong> Bergen, Norway 5.<br />
Department <strong>of</strong> Psychiatry, VA San Diego Healthcare System,<br />
La Jolla, CA, USA<br />
* keti@haukeland.no<br />
Both migraine and Bipolar Disorder (BPAD) are complex<br />
phenotypes with significant genetic and non-genetic<br />
components. Epidemiological and clinical studies have<br />
demonstrated a high degree <strong>of</strong> co-morbidity between migraine<br />
and BPAD. Numerous genome- wide linkage studies in BPAD<br />
and migraine have shown overlapping regions <strong>of</strong> linkage on<br />
chromosomes, and two functionally similar voltage-dependent<br />
calcium channels, CACNA1A and CACNA1C, have been<br />
identified in familial hemiplegic migraine and recently in three<br />
BPAD genome-wide association studies (GWAS),<br />
respectively. To identify susceptibility factors for the<br />
BPAD/migraine phenotype, we conducted a GWAS in 1001<br />
cases with bipolar disorder collected through the Foundation<br />
for the National Institutes <strong>of</strong> Health Genetic Information<br />
Association Network (GAIN) initiative. We compared BPAD<br />
patients without any headache (n= 699) to BPAD patients with<br />
doctor diagnosed migraine (n=56). The strongest evidence for<br />
association was found for several SNPs in a 317 kb region<br />
encompassing the uncharacterized gene KIAA0564 (e.g.<br />
rs9566845 (OR=4.98 (95%CI: 2.6-9.48), p= 7.7 x10-8 ) and<br />
rs9566867 (p= 8,2 x 10-8 )). Furthermore, marker rs9566845<br />
was genotyped and found associated with migraine in an<br />
independent Norwegian sample <strong>of</strong> adult ADHD patients with<br />
and without co-morbid migraine (n=131 and n=324<br />
respectively), OR=2.42 (1.18-4.97), p=0.013. In conclusion,<br />
this is the first GWAS examining patients with bipolar<br />
disorder and co-morbid migraine, and the first migraine<br />
GWAS in any sample. Together these data suggest that<br />
genetic variants in the KIAA0564 gene region may predispose<br />
to migraine headaches in subgroups <strong>of</strong> patients with both<br />
BPAD and ADHD.<br />
S14.3 A GENOME-WIDE ASSOCIATION STUDY OF<br />
AGE AT ONSET IN A COMBINED BIGS/GERMAN<br />
BIPOLAR DISORDER SAMPLE<br />
P. Belmonte (1), D. Jancic (1), T. Schulze (2), Bipolar<br />
Genome Study (BiGS), S. Cichon (3), M. Nothen (3), R.<br />
Breuer (4), F. McMahon (2), M. Rietschel (4), J. Potash* (1),<br />
P. Zandi (5)<br />
1. Johns Hopkins School <strong>of</strong> Medicine 2. National Institute <strong>of</strong><br />
Mental Health 3. Life and Brain Center, University <strong>of</strong> Bonn 4.<br />
Central Institute <strong>of</strong> Mental Health, Mannheim 5. Johns<br />
Hopkins Bloomberg School <strong>of</strong> Public Health<br />
* jpotash@jhmi.edu<br />
Age at onset <strong>of</strong> bipolar disorder (BP) aggregates in families,<br />
with affected relatives <strong>of</strong> early onset probands being 4.5 times<br />
more likely than others to have early onset themselves.<br />
Linkage regions related to age at onset in BP have been<br />
identified on chromosomes 21q22 and 18p11. We initially<br />
examined age at onset data from a genome-wide association<br />
study <strong>of</strong> BP in the Genetic Association Information Network<br />
(GAIN) BP sub-sample <strong>of</strong> the Bipolar Genetics Study<br />
(BiGS). This sample consisted <strong>of</strong> 1,034 controls and 1,001 BP<br />
cases, <strong>of</strong> whom 681 have early onset (age at onset ≤ 21) and<br />
285 have late onset (age at onset > 21). Genotyping was<br />
performed using Affymetrix Genome-Wide Human SNP<br />
Array 6.0 and 729,779 SNPs passing QC were examined for<br />
association with age at onset in BP. We analyzed the data<br />
using polytomous logistic regression with three outcome<br />
groups: early onset BP, late onset BP and controls. Our initial<br />
focus was on the early vs. late onset BP comparison, which<br />
yielded 375 loci at p
S14.4 GENOME-WIDE ASSOCIATION STUDIES<br />
IDENTIFY A LOCUS ON CHROMOSOME 3P THAT<br />
INFLUENCES BOTH BIPOLAR AND UNIPOLAR<br />
DISORDER<br />
F. McMahon* (1), N. Akula (1), T. Schulze (1), S.<br />
Detera-Wadleigh (1), C. Steele (1), R. Breuer (2), J.<br />
Strohmaier (2), J. Wendland (1), T. Mühleisen (3), W. Maier<br />
(4), M. Nöthen (5), S. Cichon (5), M. Rietschel (2)<br />
1. NIMH 2. Central Institute <strong>of</strong> Mental Health, Mannheim<br />
3. Dept <strong>of</strong> Genomics, Life & Brain Center, Univ <strong>of</strong> Bonn 4.<br />
Dept <strong>of</strong> Psychiatry, Univ <strong>of</strong> Bonn 5. Dept <strong>of</strong> Genomics, Life<br />
& Brain Center, Univ <strong>of</strong> Bonn<br />
* mcmahonf@mail.nih.gov<br />
The major mood disorders, which include bipolar disorder and<br />
major depressive disorder, are substantially heritable, but few<br />
risk loci have been identified. We performed a meta-analysis<br />
<strong>of</strong> five case-control samples assessed for the presence <strong>of</strong> a<br />
major mood disorder, totaling 13,743 unique individuals<br />
genotyped with approximately 500,000 to 1 million single<br />
nucleotide polymorphism (SNP) markers on high-density<br />
arrays. Imputation was used to compare SNPs across<br />
platforms, and test statistics were weighted for sample size.<br />
We found genome-wide significant evidence that SNPs in a<br />
region <strong>of</strong> chromosome 3p21.1—containing the known genes<br />
STAB1, NT5DC2, PBRM1, NEK4, SPCS1, GNL3,<br />
GLT8D1,and ITIH1, 3, and 4—were associated with major<br />
mood disorders. The SNP rs2251219 returned the smallest<br />
meta-analysis p-value, 3.63 x 10-8, with a pooled odds ratio <strong>of</strong><br />
0.87. These results imply that one or more genes in 3p21.1<br />
play an etiologic role in major mood disorders and suggest<br />
that bipolar disorder and major depressive disorder share<br />
genetic risk factors.<br />
S14.5 GWAS AND META-ANALYSIS RESULTS FOR<br />
PSYCHOSIS<br />
N. Craddock* (1)<br />
1. Cardiff University<br />
* craddockn@cardiff.ac.uk<br />
Even before the advent <strong>of</strong> GWAS, the pattern <strong>of</strong> molecular<br />
genetic findings demonstrated evidence for an overlap in<br />
genetic susceptibility across the traditional classification<br />
categories - including association findings at DISC1 and<br />
NRG1. Genome-wide association studies (GWAS) now<br />
provide greater power to explore the relationship between<br />
mood and psychotic illness. Several large-scale studies have<br />
been undertaken, including those by our collaborators at the<br />
Broad Institute <strong>of</strong> MIT and Harvard and the GAIN<br />
Collaboration. Within the context <strong>of</strong> the Wellcome Trust Case<br />
Control Consortium (WTCCC) we studied 2700<br />
mood-psychosis cases and 3000 controls. In our data the<br />
genome-wide significant associations at CACNA1C in bipolar<br />
disorder and ZNF804A in schizophrenia show evidence for a<br />
contribution to susceptibility across the traditional diagnostic<br />
boundaries. Using both specific single risk alleles and also<br />
composite “polygenic scores”, susceptibility to broadly<br />
defined psychotic bipolar disorder does not appear to be<br />
related in a simple way to susceptibility to schizophrenia.<br />
However, there is evidence for the existence <strong>of</strong> some<br />
relatively specific relationships between genotype and<br />
psychopathology. For example, in our dataset variation at<br />
GABAA receptor genes is associated with susceptibility to a<br />
form <strong>of</strong> illness with mixed features <strong>of</strong> schizophrenia and<br />
bipolar disorder. Recent genetic analyses <strong>of</strong> the WTCCC and<br />
the larger collaborative datasets will be considered and the<br />
implications for understanding psychotic bipolar disorder<br />
discussed.
S14.6 CLINICAL HETEROGENEITY IN MOOD<br />
DISORDERS<br />
J. Smoller* (1)<br />
1. Massachusetts General Hospital<br />
* jsmoller@hms.harvard.edu<br />
The modern distinctions between psychotic and mood<br />
disorders date to Kraepelin’s foundational descriptions <strong>of</strong><br />
dementia praecox and manic depressive insanity more than a<br />
century ago and Leonhard’s later division <strong>of</strong> bipolar and<br />
unipolar disorders. These distinctions continue to be<br />
fundamental organizing principles for psychiatric nosology,<br />
but the diagnoses enumerated in DSM-IV are descriptive<br />
syndromes that may not optimally capture the heritable basis<br />
<strong>of</strong> psychiatric illness. Empirical evidence from clinical,<br />
epidemiologic and genetic research has led to a growing<br />
recognition that these diagnostic categories comprise<br />
substantial heterogeneity. For example, several features <strong>of</strong><br />
mood disorders, including psychosis and early age at onset,<br />
may index familial and genetic subtypes. The emergence <strong>of</strong><br />
large-scale, genomewide analyses have provided new<br />
opportunities to dissect this heterogeneity. This presentation<br />
will provide an overview <strong>of</strong> the evidence for clinical and<br />
genetic heterogeneity in mood disorder syndromes and the<br />
prospects for identifying genetic influences that transcend<br />
diagnostic categories. The exploration <strong>of</strong> alternative<br />
phenotype definitions present methodologic challenges but<br />
may have important implications for enhancing the power <strong>of</strong><br />
genetic studies and informing an etiology-based nosology.<br />
S15 THE WNT SIGNALING PATHWAY AND<br />
SCHIZOPHRENIA<br />
S15.1 GENETIC ASSOCIATION ANALYSIS OF THE<br />
WNT SIGNALING PATHWAY IN SCHIZOPHRENIA<br />
D. Collier* (1), P. Priotsi (1), The SGENE Consortium , S.<br />
Lovestone (1)<br />
1. Institute <strong>of</strong> Psychiatry, King's College, London<br />
* david.collier@kcl.ac.uk<br />
There is evidence from multiple sources that Wnt signalling is<br />
involved in the aetiopathology <strong>of</strong> schizophrenia, suggesting<br />
the hypothesis that genes in the wnt pathway are genetic<br />
susceptibility factors for this illness. The accumulation <strong>of</strong><br />
genome wide association data in schizophrenia has made it<br />
possible to test this hypothesis. In order to do so we performed<br />
pathway association analysis using all known wnt signalling<br />
genes their modifiers and targets in case-control GWAs data.<br />
This includes the Dickkopf 4 (DKK4), which has previously<br />
been found to show altered expression in schizophrenia brain<br />
and to bind to neuregulin, and shows evidence <strong>of</strong> association<br />
with schizophrenia.<br />
S15.2 THE DISC1 PATHWAY MODULATES<br />
EXPRESSION OF NEURODEVELOPMENTAL,<br />
SYNAPTOGENIC AND SENSORY PERCEPTION<br />
GENES<br />
W. Hennah* (1), D. Porteous (2)<br />
1. Institute for Molecular Medicine Finland FIMM, Nordic<br />
EMBL Partnership for Molecular Medicine, Helsinki, Finland<br />
2. <strong>Medical</strong> Genetics Section, University <strong>of</strong> Edinburgh, EH4<br />
2XU, Edinburgh, UK<br />
* william.hennah@thl.fi<br />
Background: Genetic and biological evidence supports a role<br />
for DISC1 across a spectrum <strong>of</strong> major mental illnesses,<br />
including schizophrenia and bipolar disorder. There is<br />
evidence for genetic interplay between variants in DISC1 and<br />
in biologically interacting loci in psychiatric illness. DISC1<br />
also associates with normal variance in behavioral and brain<br />
imaging phenotypes. With recent studies demonstrating that<br />
DISC1 binding partners also play a role in mental illness.<br />
Methodology: Here, we analyze public domain datasets and<br />
demonstrate correlations between variants in the DISC1<br />
pathway genes and levels <strong>of</strong> gene expression. Genetic variants<br />
<strong>of</strong> DISC1, NDE1, PDE4B and PDE4D regulate the expression<br />
<strong>of</strong> cytoskeletal, synaptogenic, neurodevelopmental and<br />
sensory perception proteins. Interestingly, these regulated<br />
genes include existing targets for drug development in<br />
depression and psychosis. Conclusions: Our systematic<br />
analysis provides further evidence for the relevance <strong>of</strong> the<br />
DISC1 pathway to major mental illness, identifies additional<br />
potential targets for therapeutic intervention and establishes a<br />
general strategy to mine public datasets for insights into<br />
disease pathways.
S15.3 COPY NUMBER VARATION IN<br />
SCHIZOPHRENIA<br />
D. St. Clair (1)<br />
1. Department <strong>of</strong> Mental Health, University <strong>of</strong> Aberdeen<br />
A series <strong>of</strong> major articles have reported associations with<br />
schizophrenia <strong>of</strong> copy number variants at 1q21, 15q11.2,<br />
15q13.3, 16p11.2, 22q12, and Neurexin 1 loci. These are rare<br />
high-penetrant mutations that increase risk not only <strong>of</strong><br />
schizophrenia but also <strong>of</strong> a range <strong>of</strong> other psychiatric disorders<br />
including autism and mental retardation. Several copy number<br />
variant loci include genes which impact on the wnt signalling<br />
pathway. In some cases, the same phenotype can occur<br />
irrespective <strong>of</strong> whether the copy number variant causes a<br />
deletion or duplication. Although the loci identified so far<br />
account for only a small proportion <strong>of</strong> cases, many more are<br />
likely to be discovered over the next few years. A major focus<br />
<strong>of</strong> research will be to identify the key, the genetic and<br />
environmental determinants <strong>of</strong> schizophrenia risk in carriers <strong>of</strong><br />
these copy number variants, and to discover whether their<br />
rates <strong>of</strong> mutation are unstable or fixed.<br />
S15.4 HDAC-WNT/TCF SIGNALING CONTROLS<br />
OLIGODENDROCYTE DIFFERENTIATION<br />
Q. Lu* (1)<br />
1. UT Southwestern <strong>Medical</strong> Center<br />
* qrichard.lu@utsouthwestern.edu<br />
Oligodendrocyte development is regulated by the interplay <strong>of</strong><br />
repressors and activators in a complex transcriptional network.<br />
Here we report that two histone-modifying enzymes, HDAC1<br />
and HDAC2, are required for oligodendrocyte formation.<br />
Genetic deletion <strong>of</strong> both HDAC1 andHDAC2 in<br />
oligodendrocyte lineage cells resulted in stabilization and<br />
nuclear translocation <strong>of</strong> -catenin, which negatively regulates<br />
oligodendrocyte development by repressing Olig2 expression.<br />
We further identified an oligodendrocyte-restricted<br />
transcription factor TCF7L2/TCF4 as a bipartite co-effector <strong>of</strong><br />
-catenin for regulating oligodendrocyte differentiation.<br />
Targeted disruption <strong>of</strong> TCF7L2 in mice leads to severe defects<br />
in oligodendrocyte maturation, while expression <strong>of</strong> its<br />
dominant repressive form promotes precocious<br />
oligodendrocyte specification in developing chick neural tube.<br />
Transcriptional co-repressors HDAC1 and HDAC2 compete<br />
with -catenin for TCF7L2 interaction to regulate downstream<br />
genes involved in oligodendrocyte differentiation. Hence,<br />
crosstalk between HDAC1/2 and the canonical Wnt signaling<br />
pathway mediated by TCF7L2 serves as a regulatory<br />
mechanism for oligodendrocyte differentiation.<br />
S15.5 DISC1 REGULATES NEURAL PROGENITOR<br />
PROLIFERATION VIA MODULATION OF<br />
GSK3BETA/BETA-CATENIN SIGNALING<br />
Y. Mao, X. Ge, C. Frank, J. Madison, A. Koehler, M. Doud,<br />
C. Tassa, E. Berry, T. Soda, K. Singh, T. Biechele, T.<br />
Petryshen , R. Moon , S. Haggarty , L. Tsai (1)<br />
1. Howard Hughes <strong>Medical</strong> Institute; Picower Institute for<br />
Learning and Memory, Department <strong>of</strong> Brain and Cognitive<br />
Sciences, Massachusetts Institute <strong>of</strong> Technology, Cambridge,<br />
MA 02139<br />
* lhtsai@mit.edu<br />
Schizophrenia is a severe brain illness that affects 0.5-1% <strong>of</strong><br />
the world population. While the etiology is poorly understood,<br />
accumulating evidence suggest that neurodevelopmental<br />
defects are involved. Recent studies have identified many risk<br />
genes associated with schizophrenia. Among these genetic<br />
factors, the (1; 11) (q42; q14.3) translocation allele <strong>of</strong> the<br />
DISC1 gene closely segregates with the manifestation <strong>of</strong><br />
psychiatric disorders in a large Scottish pedigree. Functional<br />
studies revealed that DISC1 is involved in neurite outgrowth,<br />
neuronal migration, integration <strong>of</strong> newborn neurons, and<br />
cAMP signaling. In addition, mouse models created by either<br />
overexpressing a dominant negative form, deleting certain<br />
exons, or ENU mutagenesis <strong>of</strong> DISC1 resulted in the<br />
manifestation <strong>of</strong> schizophrenia- or depression-like behavioral<br />
phenotypes in these mice. We found a novel role for DISC1 in<br />
the proliferation <strong>of</strong> neural progenitors during embryonic and<br />
adult neurogenesis. In searching for mechanisms to explain<br />
how DISC1 regulates neurogenesis, we discovered that<br />
downregulating levels <strong>of</strong> DISC1 abolished the ability <strong>of</strong><br />
Wnt3a to stimulate proliferation <strong>of</strong> neural progenitor cells,<br />
suggesting DISC1 functions in the Wnt signaling pathway.<br />
Moreover, the N-terminal region <strong>of</strong> DISC1 was found to<br />
directly bind and inhibit GSK3b, thereby stabilizing b-catenin<br />
levels. Most striking was the observation that the in vitro and<br />
in vivo phenotypes due to DISC1 knockdown (both in the<br />
embryonic or adult brain) could be rescued by either<br />
overexpression <strong>of</strong> a degradation-resistant b-catenin, or by<br />
pharmacological inhibition <strong>of</strong> GSK3b. This suggests the<br />
cellular and behavioral results due to DISC1 knockdown can<br />
be alleviated by hyperactivation <strong>of</strong> the canonical Wnt<br />
signaling pathway. Together, these data strongly argue that<br />
DISC1 is an important regulator <strong>of</strong> neural progenitor<br />
proliferation that acts by positively modulating Wnt signaling<br />
via inhibition <strong>of</strong> GSK3b.
S16 GENES, ENVIRONMENT AND<br />
SUBSTANCE USE: EMERGING RESULTS<br />
FROM SAGE<br />
S16.1 ANALYSIS OF GWAS DATA FOR NICOTINE<br />
DEPENDENCE: THE IMPORTANCE OF PHENOTYPE<br />
DEFINITION AND CO-MORBID DIAGNOSES<br />
J. Rice* (1), S. Saccone (1), N. Saccone (1), W. Howells (1),<br />
K. Bucholz (1), D. Dick (2), K. Doheny (3), H. Edenberg (4),<br />
V. Hesselbrock (5), J. Kramer (6), R. Krueger (1), S.<br />
Kuperman (6), C. Laurie (7), R. Neuman (1), J. Nurnberger,<br />
Jr. (4), B. Porjesz (8), E. Pugh (3), J. Tischfield (9), J. Wang<br />
(1), L. Bierut (1), COGA, COGEND, GENEVA<br />
1. Washington University, St. Louis, MO 2. Commonwealth<br />
University, Richmond VA 3. CIDR Genotyping Lab and JHU<br />
Center, Baltimore, MD 4. Indiana University, Indianapolis, IN<br />
5. University <strong>of</strong> Connecticut, Farmington CT 6. University <strong>of</strong><br />
Iowa, Iowa City, IA 7. University <strong>of</strong> Washington, Seattle, WA<br />
8. SUNY, Brooklyn, NY 9. Rutgers University, Piscataway,<br />
NJ<br />
* john@zork.wustl.edu<br />
The SAGE addiction project, one <strong>of</strong> the GENEVA<br />
(Gene-Environment Association) GWAS studies, consists <strong>of</strong><br />
data from three studies (alcohol dependence, cocaine<br />
dependence and nicotine dependence). Cases had to have had<br />
a diagnosis <strong>of</strong> alcohol dependence, and controls had neither a<br />
diagnosis <strong>of</strong> alcohol dependence nor cocaine dependence.<br />
Genotyping was performed on the Illumina 1M chip at CIDR<br />
and data were cleaned following stringent GENEVA<br />
standards. We analyzed the phenotype <strong>of</strong> nicotine dependence<br />
using 1294 nicotine dependent cases and 2071 controls that<br />
had smoked cigarettes but were not dependent. We first<br />
considered issues related to ascertainment, co-morbidity and<br />
phenotype definition, and then performed logistic regression<br />
analysis for the phenotype <strong>of</strong> nicotine dependence. Covariates<br />
consisted <strong>of</strong> gender, age (coded in four quartiles), ethnicity,<br />
co-morbid alcohol dependence with and without cocaine<br />
dependence, and SNP genotype coded additively with one<br />
degree <strong>of</strong> freedom. We analyzed 1,341 SNPs present on the<br />
Illumina chip in a set <strong>of</strong> 56 candidate genes previously<br />
identified by a panel <strong>of</strong> experts and found significance in the<br />
beta nicotinic receptor (CHRNB3) on chromosome 8 (p=2.4 x<br />
10-8, OR = 1.54). These SNPs in CHRNB3 were the most<br />
significant under GWAS analysis. Odds ratios were similar<br />
for African Americans and European Americans as well as for<br />
those with and without a co-morbid diagnosis. We emphasize<br />
the importance <strong>of</strong> addressing co-morbidity in the analysis <strong>of</strong><br />
GWAS data for psychiatric phenotypes.<br />
S16.2 A GENOMEWIDE ASSOCIATION STUDY<br />
(GWAS) OF THE FIVE FACTOR MODEL (FFM) OF<br />
PERSONALITY<br />
R. Krueger* (1), A. Agrawal (1), J. Derringer (1), N. Wray<br />
(2), R. Grucza (1), H. Edenberg (3), V. Hesselbrock (4), J.<br />
Kramer (5), S. Kuperman (5), M. Lynskey (1), J. Nurnberger<br />
Jr. (3), J. Tischfield (6), GENEVA, L. Bierut (1)<br />
1. Washington University 2. Queensland Institute <strong>of</strong> <strong>Medical</strong><br />
Research 3. Indiana University 4. University <strong>of</strong> Connecticut 5.<br />
University <strong>of</strong> Iowa 6. Rutgers University<br />
* rkrueger@artsci.wustl.edu<br />
Twin studies are consistent in attributing a substantial<br />
proportion <strong>of</strong> the variation in human personality to genetic<br />
factors. Nevertheless, the identities <strong>of</strong> the molecular genetic<br />
variants that contribute to personality variation remain<br />
elusive. We therefore pursued a Genomewide Association<br />
Study (GWAS) <strong>of</strong> the Five Factor Model (FFM) <strong>of</strong><br />
personality, as assessed by the NEO-Five Factor Inventory<br />
(NEO-FFI) in 2,223 unrelated research participants.<br />
Genotyping was based on the 1M Illumina Platform,<br />
with 948,142 single nucleotide polymorphisms (SNPs)<br />
available for analysis after initial data cleaning. Three types<br />
<strong>of</strong> results will be presented. First, we present standard GWAS<br />
findings for each <strong>of</strong> the five personality traits (i.e., SNPs with<br />
the lowest p-values).Second, we present p-values for SNPs<br />
found to be associated with FFM traits in previous GWAS<br />
research. Third, we present the results <strong>of</strong> a novel approach<br />
to developing “genotypic scores.” Multiple SNPs found to be<br />
predictive <strong>of</strong> personality variation in a development sample (a<br />
random half <strong>of</strong> the participants) were used to develop five<br />
scores characterizing genotypic standing on the five FFM<br />
traits. Persons with higher genotypic scores have a greater<br />
number <strong>of</strong> alleles predictive <strong>of</strong> higher FFM scores in the<br />
development sample. The validity <strong>of</strong> these genotypic scores<br />
for predicting personality was then ascertained in the<br />
remaining half <strong>of</strong> the sample, i.e., in those participants not<br />
used to develop the genotypic scores.
S16.3 GENOMEWIDE ASSOCIATION STUDIES OF<br />
CANNABIS AND COCAINE DEPENDENCE<br />
A. Agrawal* (1), M. Lynskey (2), A. Hinrichs (2), R. Grucza<br />
(2), N. Saccone (2), S. Saccone (2), R. Krueger (3), R.<br />
Neuman (2), W. Howells (2), S. Fisher (2), L. Fox (2), R.<br />
Cloninger (2), D. Dick (4), K. Doheny (5), H. Edenberg (6),<br />
A. Goate (2), V. Hesselbrock (7), E. Johnson (8), J. Kramer<br />
(9), S. Kuperman (10), J. Nurnberger (6), E. Pugh (5), J.<br />
Tischfield (11), COGA, COGEND, GENEVA, J. Rice (2), K.<br />
Bucholz (2), L. Bierut (2)<br />
1. Washington University School <strong>of</strong> Medicine Dept. <strong>of</strong><br />
Psychiatry, Email:arpana@wustl.edu 2. Washington Univ Sch<br />
Med 3. Washington Univ St. Louis 4. Virginia<br />
Commonwealth Univ 5. CIDR 6. Indiana Univ Sch Med 7.<br />
Univ Connecticut Sch Med 8. RTI 9. Univ <strong>of</strong> Iowa College <strong>of</strong><br />
Med 10. Univ <strong>of</strong> Iowa Hospitals 11. Rutgers Univ<br />
* arpana@wustl.edu<br />
Cannabis is the most commonly used illicit psychoactive<br />
substance in developed nations. After cannabis, cocaine<br />
misuse contributed to 13% <strong>of</strong> admissions to treatment settings<br />
in 2007. Prior twin studies have demonstrated considerable<br />
genetic influences on both cannabis and cocaine dependence,<br />
some <strong>of</strong> which are overlapping. Linkage and candidate gene<br />
association studies have identified some variants associated<br />
with dependence on either drug but results have been<br />
equivocal. We conduct one <strong>of</strong> the first genomewide<br />
association studies <strong>of</strong> DSM-IV cannabis dependence and<br />
cocaine dependence using data from the Study <strong>of</strong> Addiction:<br />
Genes and Environment (SAGE) which genotyped, using the<br />
Illumina 1M, 4121 (54% female; 32.5% African-American)<br />
individuals including 1944 cases (1965 exposed controls and<br />
212 other/drug misuse) ascertained for alcohol dependence.<br />
For our analyses, 753 and 1130 cases were available for<br />
DSM-IV cannabis and cocaine dependence respectively. Our<br />
top findings for cannabis dependence included polymorphisms<br />
on chromosome 3 (p
S16.5 INTERPLAY OF GENETIC RISK FACTORS AND<br />
PARENTS MONITORING IN RISK FOR NICOTINE<br />
DEPENDENCE<br />
L. Chen* (1), E. Johnson (2), N. Breslau (3), D. Hatsukami<br />
(4), N. Saccone (5), R. Grucza (1), J. Wang (1), A. Hinrichs<br />
(1), L. Fox (1), A. Goate (1), J. Rice (1), L. Bierut (1)<br />
1. Washington University School <strong>of</strong> Medicine, Department <strong>of</strong><br />
Psychiatry 2. Research Triangle Institute International 3.<br />
Michigan State University, Department <strong>of</strong> Epidemiology 4.<br />
University <strong>of</strong> Minnesota, Department <strong>of</strong> Psychiatry 5.<br />
Washington University School <strong>of</strong> Medicine, Department <strong>of</strong><br />
Genetics<br />
* chenli@psychiatry.wustl.edu<br />
Background: Several studies have found replicable<br />
associations between nicotine dependence and specific<br />
variants in the nicotinic receptor genes CHRNA5(rs16969968)<br />
and CHRNA3(rs3743078). How these newly identified<br />
genetic risks combine with known environmental risks is<br />
unknown. This study examined whether the level <strong>of</strong> parent<br />
monitoring during early adolescence modified the risk <strong>of</strong><br />
nicotine dependence associated with these genetic variants.<br />
Methods: In a cross-sectional case control study <strong>of</strong> US-based<br />
community sample <strong>of</strong> 2027 subjects, we use a systematic<br />
series <strong>of</strong> regression models to examine the effect <strong>of</strong> parent<br />
monitoring on risk associated with two distinct variants in the<br />
nicotinic receptor genes CHRNA5(rs16969968) and<br />
CHRNA3(rs3743078). Results: Low parent monitoring as well<br />
as the previously identified genetic variants were associated<br />
with an increased risk <strong>of</strong> nicotine dependence. An interaction<br />
was found between the SNP(rs16969968) and parent<br />
monitoring (p=0.034). The risk for nicotine dependence<br />
increased significantly with the risk genotype <strong>of</strong><br />
SNP(rs16969968) when combined with lowest quartile parent<br />
monitoring. In contrast, there was no evidence <strong>of</strong> an<br />
interaction between SNP(rs3743078) and parent monitoring<br />
(p=0.80). Conclusions: The genetic risk <strong>of</strong> nicotine dependent<br />
associated with rs16969968 was modified by level <strong>of</strong> parent<br />
monitoring, while the genetic risk associated with rs3743078<br />
was not, suggesting that the increased risk due to some genes<br />
may be mitigated by environmental factors such as parent<br />
monitoring.<br />
S16.6 GENETIC INFLUENCES ON SENSATION<br />
SEEKING: MODERATION BY RELIGIOUS SERVICE<br />
ATTENDANCE<br />
J. Derringer* (1), R. Krueger (1, 2), D. Dick (3), R. Grucza<br />
(2), A. Agrawal (2), L. Almasy (4), H. Edenberg (5), T.<br />
Foroud (6), V. Hesselbrock (7), J. Kramer (8), S. Kuperman<br />
(9), J. Nurnberger Jr. (10), B. Porjesz (11), M. Schuckit (12),<br />
COGA, GENEVA, L. Bierut (2)<br />
1. Department <strong>of</strong> Psychology, Washington University 2.<br />
Department <strong>of</strong> Psychiatry, Washington University 3. Virginia<br />
Institute for Psychiatric and Behavioral Genetics, Virginia<br />
Commonwealth University 4. Genetics, Southwest Foundation<br />
for Biomedical Research 5. Center for <strong>Medical</strong> Genomics,<br />
Indiana University 6. Department <strong>of</strong> <strong>Medical</strong> and Molecular<br />
Genetics, Indiana University 7. Department <strong>of</strong> Psychiatry,<br />
University <strong>of</strong> Connecticut 8. Department <strong>of</strong> Psychiatry,<br />
University <strong>of</strong> Iowa 9. Division <strong>of</strong> Child Psychiatry, University<br />
<strong>of</strong> Iowa 10. Institute <strong>of</strong> Psychiatric Research, Indiana<br />
University 11. Henri Begleiter Neurodynamics Laboratory,<br />
SUNY Downstate <strong>Medical</strong> Center 12. Department <strong>of</strong><br />
Psychiatry, University <strong>of</strong> California – San Diego<br />
* derringer@wustl.edu<br />
The trait <strong>of</strong> sensation seeking (Zuckerman 1971) has been<br />
associated with a range <strong>of</strong> psychiatric disorders, including<br />
addiction, mania, and psychopathy. Twin studies indicate that<br />
genetic factors account for significant variance in sensation<br />
seeking, and sensation seeking has been associated with<br />
biological markers, including MAO activity and sex hormone<br />
levels (see Zuckerman, Buchsbaum, & Murphy 1980).<br />
Religiosity moderates the influence <strong>of</strong> genetic factors on the<br />
disinhibition scale <strong>of</strong> sensation seeking, where genetic factors<br />
account for a greater proportion <strong>of</strong> variance in disinhibition for<br />
individuals without a religious upbringing than for those<br />
raised in religious environments (Boomsma et al. 1999). As<br />
part <strong>of</strong> the Study <strong>of</strong> Addiction: Genes and Environment<br />
(SAGE), we have been exploring the moderating role <strong>of</strong><br />
religious service attendance, one index <strong>of</strong> religiosity, on<br />
genetic influences on substance dependence and related<br />
phenotypes (Dick et al; accompanying presentation). We<br />
examined moderation <strong>of</strong> genetic influences on sensation<br />
seeking, a trait associated with substance dependence, by<br />
religious service attendance. Our sample consisted <strong>of</strong><br />
644individuals from SAGE. More frequent religious service<br />
attendance was associated with decreased overall sensation<br />
seeking (r=-0.155, p
S16.7 INCORPORATING ENVIRONMENTAL<br />
INFORMATION INTO GWAS: TESTING FOR<br />
GENE-ENVIRONMENT INTERACTION AND<br />
CORRELATION BETWEEN ALCOHOL<br />
DEPENDENCE AND CHURCH ATTENDANCE<br />
D. Dick* (1), J. Yan (2), F. Aliev (2), R. Krueger (3), A.<br />
Agrawal (4), H. Edenberg (5), J. Kramer (6), M. Schuckit (7),<br />
J. Tishcfield (8), B. Porjesz (9), V. Hesselbrock (10), S.<br />
Kuperman (11), L. Almasy (12), J. Nurnberger (5), K. Kendler<br />
(2), S. Aggen (2), L. Bierut (4), COGA, COGEND, GENEVA<br />
1. Virginia Institute for Psychiatric and Behavioral Genetics<br />
Virginia Commonwealth University Department <strong>of</strong> Psychiatry<br />
2. Virginia Commonwealth University 3. Washington<br />
University in St. Louis 4. Washington University School <strong>of</strong><br />
Medicine 5. Indiana University School <strong>of</strong> Medicine 6.<br />
University <strong>of</strong> Iowa 7. University <strong>of</strong> California San Diego 8.<br />
Rutgers University 9. State University <strong>of</strong> New York 10.<br />
University <strong>of</strong> Connecticut School <strong>of</strong> Medicine 11. University<br />
<strong>of</strong> Iowa Hospitals 12. Southwest Foundation for <strong>Medical</strong><br />
Research<br />
* ddick@vcu.edu<br />
Although most psychiatric disorders show considerable<br />
evidence for genetic influence, the environment also plays an<br />
important role. Furthermore, genetic and environmental<br />
influences do not act in isolation, with twin studies providing<br />
compelling evidence for both gene-environment interaction,<br />
whereby the importance <strong>of</strong> genetic effects varies as a function<br />
<strong>of</strong> the environment, and gene-environment correlation,<br />
whereby the selection and experience <strong>of</strong> environmental events<br />
is impacted by genetically-influenced characteristics. Despite<br />
widespread recognition <strong>of</strong> the complex interplay between<br />
genetic and environmental risk factors on psychiatric outcome,<br />
most large-scale gene identification efforts to date have<br />
largely ignored environmental effects. We have conducted a<br />
series <strong>of</strong> analyses aimed at exploring the relationship between<br />
alcohol dependence (AD) and church attendance. Religiosity<br />
is known to play an important role in the development <strong>of</strong> AD,<br />
with protective main effects (Kendler et al. 2003), and<br />
moderating effects on genetic influences on alcohol use and<br />
related phenotypes (Koopmans et al., 1999; Boomsma et al.,<br />
1999). Analyses in the Virginia Adult Twin Study <strong>of</strong><br />
Psychiatric and Substance Use Disorders demonstrate genetic<br />
covariance contributing to the correlation between church<br />
attendance and AD. In the Study <strong>of</strong> Addiction: Genes and<br />
Environment, a sample with GWAS data on 1944 AD cases<br />
and 1965 controls, we find evidence for several loci that may<br />
be involved in this gene-environment correlation between<br />
religiosity and AD, as well as other loci where the association<br />
with AD is moderated by religiosity. This study represents a<br />
first step toward incorporating environmental information into<br />
GWAS, using twin data to guide these efforts.
ORAL ABSTRACTS
O1 MOOD DISORDERS1<br />
O1.1 SUPPORT FOR A BIPOLAR AFFECTIVE<br />
DISORDER SUSCEPTIBILITY LOCUS ON<br />
CHROMOSOME 12Q24.3<br />
L. Foldager* (1), H. Buttenschøn (1), T. Flint (1), I. Olsen<br />
(1), T. Deleuran (1), M. Nyegaard (2), M. Hansen (3), P.<br />
Kallunki (4), K. Christensen (4), D. Blackwood (5), W. Muir<br />
(5), S. Straarup (3), T. Als (3), M. Nordent<strong>of</strong>t (6), A. Børglum<br />
(2), O. Mors (3)<br />
1. Centre for Psychiatric Research, Aarhus University<br />
Hospital, Risskov, Denmark 2. Institute <strong>of</strong> Human Genetics,<br />
Aarhus University, Denmark 3. Centre for Psychiatric<br />
Research, Aarhus University Hospital, Risskov, Denmark 4.<br />
H. Lundbeck A/S, Valby, Denmark 5. Division <strong>of</strong> Psychiatry,<br />
University <strong>of</strong> Edinburgh, UK 6. Psychiatric Centre Bispebjerg,<br />
University <strong>of</strong> Copenhagen, Denmark<br />
* Leslie.Foldager@ps.rm.dk<br />
Linkage and association studies <strong>of</strong> bipolar affective disorder<br />
(BP) point out chromosome 12q24 as a region <strong>of</strong> interest. In<br />
order to investigate this region further, we conducted an<br />
association study <strong>of</strong> 22 DNA markers within a 1.14 Mb region<br />
in a Danish sample <strong>of</strong> 166 patients with BP and 311 control<br />
individuals. Two hundred and four Danish patients with<br />
schizophrenia (SZ) were also included in the study. We<br />
observed highly significant allelic and genotypic association<br />
between BP and two markers. The risk allele <strong>of</strong> both markers<br />
considered separately conferred an odds ratio (OR) <strong>of</strong> two to<br />
an individual carrying one risk allele and an OR <strong>of</strong> four for<br />
individuals carrying both risk alleles assuming an additive<br />
genetic model. These findings were supported by the<br />
haplotype analysis. In addition we obtained a replication <strong>of</strong><br />
four markers associated with BP in a previous U.K. study.<br />
The most significantly associated marker was also analyzed in<br />
a Scottish case-control sample and was previously associated<br />
with BP in the U.K. cohort. That particular marker was<br />
strongly associated with BP in a meta-analysis <strong>of</strong> the Danish,<br />
Scottish and U.K. sample (P=0.0003).The chromosome region<br />
confined by our most distant markers is gene-poor and<br />
harbours only a few predicted genes. The present study<br />
implicates the Slynar locus. We confirmed one annotated<br />
Slynar transcript and identified a novel transcript in human<br />
brain cDNA. This study confirms 12q24.3 as a region <strong>of</strong><br />
functional importance in the pathogenesis <strong>of</strong> BP and<br />
highlights the importance <strong>of</strong> focused genotyping.<br />
O1.2 PER2 VARIATION IS ASSOCIATED WITH<br />
DEPRESSION VULNERABILITY<br />
C. Lavebratt (1), L. Sjöholm (1), T. Partonen (2), M.<br />
Schalling (1), Y. Forsell (1)<br />
1. Karolinska Institutet 2. Helsinki National Institute <strong>of</strong> Health<br />
and Welfare<br />
The circadian clock is driven by transcription-translation<br />
feedback loops and regulates rhythms that approximate the<br />
24-h day-night cycle or light-dark transitions. Disruptions <strong>of</strong><br />
the circadian rhythms are common in depressed patients,<br />
expressed for example as sleep disturbances. Genetic<br />
variations in core circadian genes may in part explain these<br />
abnormalities. To investigate whether genetic variation in core<br />
circadian genes associates with vulnerability to depression, we<br />
genotyped 18 genes in a Swedish population based sample.<br />
Genetic variations indicative <strong>of</strong> association with depression, or<br />
with winter depression in our previous study, were tested for<br />
association to depression in a second Swedish<br />
depression-control sample set. PER2 genetic variation was<br />
associated with depression vulnerability, and this genetic risk<br />
did not seem to require exposure to potential sleep disturbance<br />
factors such as negative life event or financial strain that are<br />
known to increase the risk for depression. Polymorphisms<br />
in the circadian genes NPAS2, ARNTL and RORA were also<br />
suggested to contribute to depression vulnerability. The<br />
findings we report for PER2, ARNTL and RORA are<br />
supported by at least two <strong>of</strong> the three sample sets. In<br />
conclusion, genetic variation in PER2 is associated with<br />
depression vulnerability a Swedish population-based sample.<br />
More studies are needed to determine if this is the case also<br />
for NPAS2, ARNTL and RORA.
O1.3 GENOME WIDE ASSOCIATION SCAN OF<br />
SUICIDALITY IN MAJOR DEPRESSION.<br />
A. Schosser* (1), A. Butler (2), M. Ng (2), R. Uher (2), S.<br />
Cohen-Woods (2), K. Pirlo (2), A. Elkin (2), N. Craddock (3),<br />
M. Owen (2), K. Aitchison (2), A. Korszun (4), M. Barnes (5),<br />
P. Muglia (5), M. Lathrop (6), S. Heath (6), G. Breen (2), A.<br />
Farmer (2), I. Craig (2), P. McGuffin (2), C. Lewis (2)<br />
1. MRC SGDP Centre, Institute <strong>of</strong> Psychiatry, King's College<br />
London, UK; Dep. <strong>of</strong> Psychiatry and Psychotherapy, <strong>Medical</strong><br />
Univ. Vienna, Austria 2. MRC SGDP Centre, Institute <strong>of</strong><br />
Psychiatry, King's College London, UK 3. Department <strong>of</strong><br />
Psychological Medicine, Cardiff University, UK 4. Centre for<br />
Psychiatry, Wolfson Institute <strong>of</strong> Preventive Medicine, Barts<br />
and The London <strong>Medical</strong> School, Queen Mary University <strong>of</strong><br />
London, UK 5. GlaxoSmithKline Research & Development<br />
6. Centre National de Genotypage, 91057 Evry, France<br />
* alexandra.schosser@iop.kcl.ac.uk<br />
Suicidal behaviour seems to cluster in families, and eritability<br />
<strong>of</strong> completed suicide has been estimated as about 43%. Genes<br />
predisposing to suicide may overlap with those predisposing<br />
to affective disorder, since approximately half <strong>of</strong> those<br />
committing suicide have a diagnosis <strong>of</strong> depression. We carried<br />
out a genome-wide association (GWA) study in 2947 subjects<br />
with DSM-IV and/or ICD-10 major depression, derived from<br />
three studies: DeCC (Depression Case Control, N=1145),<br />
GENDEP (Genome-based Therapeutic Drugs for Depression,<br />
N=729), DeNt (Depression Network, N=918), and a sample<br />
collected by GSK (Glaxo Smith Kline, N=155). Depression<br />
and suicidality were assessed using SCAN, and a new variable<br />
summarising suicidal behaviour (SSB), composed <strong>of</strong> SCAN<br />
items 6.011 (suicide or self-harm, score 0-4) and 6.012 edium<br />
vitae, score 0-3), was created. All subjects therefore had a<br />
score between 0 and 7 for the worst and 2nd worst episode, or<br />
current episode in GENDEP. This quantitative trait SSB was<br />
correlated with number <strong>of</strong> episodes <strong>of</strong> depression and with<br />
early age <strong>of</strong> onset, but not gender. We performed enome-wide<br />
analysis <strong>of</strong> the quantitative SSB phenotype, and a discrete trait<br />
(SSB6, with N=275 cases), correcting for the<br />
Europe-wide ascertainment <strong>of</strong> cases. Four SNPs attained<br />
p-values <strong>of</strong>
O1.5 SYSTEMATIC ANALYSIS OF CIRCADIAN<br />
GENES IN A POPULATION-BASED SAMPLE<br />
REVEALS ASSOCIATION OF TIMELESS TO<br />
DEPRESSION AND SLEEP DISTURBANCE<br />
S. Utge (1), P. Soronen (1), A. Loukola (1), E. Kronholm (2),<br />
V. Leppä (3), S. Pirkola (4), T. Porkka-Heiskanen (5), T.<br />
Partonen (6), T. Paunio* (7)<br />
1. Public Health Genomics Unit, National Institute for Health<br />
and Welfare, Helsinki 2. Department <strong>of</strong> Health and Functional<br />
Capacity, Laboratory for Population Research 3. Public Health<br />
Genomics Unit, National Institute for Health and Welfare,<br />
Helsinki and Institute for Molecular Medicine Finland FIMM,<br />
University <strong>of</strong> Helsinki 4. Department <strong>of</strong> Psychiatry, Helsinki<br />
University Central Hospital, Helsinki<br />
5. Department <strong>of</strong> Physiology, University <strong>of</strong> Helsinki, Helsinki,<br />
Finland 6. Department <strong>of</strong> Mental Health and Substance Abuse<br />
Services, National Institute for Health and Welfare, Helsinki<br />
7. Public Health Genomics Unit, National Institute for Health<br />
and Welfare, Helsinki and Department <strong>of</strong> Psychiatry, Helsinki<br />
University Central Hospital, Helsinki<br />
* tiina.paunio@thl.fi<br />
Background: Circadian rhythm abnormalities and disturbed<br />
sleep is a prevalent sign <strong>of</strong> depression. We have recently<br />
showed that poor sleep quality is a risk factor for incidence <strong>of</strong><br />
depressed mood (Paunio et al. 2009) and that there are<br />
sex-dependent and symptom specific differences in the genetic<br />
back ground <strong>of</strong> depression at population level (Utge et al. in<br />
press). We hypothesized that some <strong>of</strong> the genetic variants<br />
from the circadian system might be a contributing causal<br />
factor for depression with signs for disturbed sleep, early<br />
morning awakenings, or day-time fatigue. Materials and<br />
methods: We tested this hypothesis in a population-based<br />
sample <strong>of</strong> Health 2000 from Finland, including 384 depressed<br />
individuals and 1270 controls, all with detailed information on<br />
sleep and day-time vigilance, and analyzed this set <strong>of</strong><br />
individuals against 113 single nucleotide variants from 18<br />
genes <strong>of</strong> the circadian system. Association <strong>of</strong> genetic variants<br />
to depression with signs <strong>of</strong> disturbed sleep was investigated<br />
using allelic permutation tests, followed by haplotype<br />
analyses, and finally gene-gene interaction analyses for the<br />
most significant findings. Results: We found significant<br />
association <strong>of</strong> variants from TIMELESS to depression with<br />
fatigue (P = 0.0001 for single variant and P = 0.000008 for a<br />
haplotype across the gene) in females and suggestive<br />
association to depression with early morning awakenings (P =<br />
0.0009 for single variant and P = 0.0001 for 2-SNP haplotype)<br />
in males. There was some evidence <strong>of</strong> interaction between<br />
TIMELESS and other circadian genes both in females and<br />
males. Conclusions: The current findings support the<br />
involvement <strong>of</strong> circadian system in the regulation <strong>of</strong><br />
depression and sleep in a sex dependent manner.<br />
References: Paunio T, Korhonen T, Hublin C, Partinen M,<br />
Kivimäki M, Koskenvuo M, Kaprio J. (2009) Longitudinal<br />
study on causality and genetic risk factors for the association<br />
between poor sleep and life dissatisfaction in a nationwide<br />
cohort <strong>of</strong> twins. Am J Epidemiol. 169(2):206-13; Utge S,<br />
Soronen P, Partonen T, Loukola A, Kronholm E, Pirkola S,<br />
Nyman E, Porkka-Heiskanen T, Paunio T. A population-based<br />
association study <strong>of</strong> candidate genes for depression and sleep<br />
disturbance. Am J Med Genet B Neuropsychiatr Genet. in<br />
press Acknowledgments: Funding from STREP, Call:<br />
FP6-2004-Lifescihealth-5 ; Enough sleep (to T. Paunio)<br />
O1.6 PI3K/AKT SIGNALING IN DOPAMINERGIC<br />
ACTION<br />
K. Celestrin (1), K. Carr (1), T. Franke (1)<br />
1. NYU School <strong>of</strong> Medicine<br />
One biochemical change acquired following induction <strong>of</strong><br />
depression-like behavior and exposure to drugs <strong>of</strong> abuse is<br />
altered phosphorylation <strong>of</strong> the Aktserine-threonine kinase in<br />
dopaminergic neurons. Here, we have asked if altered Akt<br />
signal transduction affects behavioral responses in<br />
experimental paradigms related to mesolimbic/nigrostriatal<br />
dopamine signaling. To answer the question, we have used<br />
Akt1-mutant mice. Akt1 is a major is<strong>of</strong>orm <strong>of</strong> the Akt kinase<br />
family and expressed at high levels in dopaminergic neurons.<br />
Loss-<strong>of</strong>-function Akt1-mutantmice exhibited a phenotype in<br />
the learned helplessness paradigm. In this experimental model<br />
for acquired behavioral depression, the exposure to<br />
inescapable electric foot shocks (IES) disrupts the escape to<br />
subsequent noxious stimuli. While no significant differences<br />
were observed between sham-treated control mice depending<br />
on genotypes, IE-shocked Akt1-mutant mice showed<br />
increased latencies <strong>of</strong> crossing and a higher number <strong>of</strong> escape<br />
failures when compared to IES-treated wild-type mice. In<br />
further support <strong>of</strong> the importance <strong>of</strong> intact Akt signaling in<br />
dopaminergic signaling, Akt1-mutantmice displayed an<br />
enhanced response to acute cocaine and a diminished<br />
sensitization effect to chronic cocaine exposure. Western<br />
blotting and immunohistochemical analyses after IES training<br />
revealed genotype-dependent changes in Akt phosphorylation<br />
and regulation <strong>of</strong> its downstream substrates <strong>of</strong> Akt and its<br />
substrates following IES training. These biochemical state<br />
changes phenocopied differences in behavioral outputs when<br />
comparing wild-type and Akt1-mutantmice. This work is<br />
supported in part by the National Science Foundation (NSF<br />
award IOS-0757780) and the G. Harold & Leila Y. Mathers<br />
Foundation (toTFF), and by the National Institute on Drug<br />
Addiction/NIH (DA003956) (to KDC). Dr. Franke is<br />
supported in part by a 2008 NARSAD Independent<br />
Investigator Award.
O1.7 TPH2 RISK HAPLOTYPE ASSOCIATED WITH<br />
IMPULSIVE AGGRESSION IN BORDERLINE<br />
PERSONALITY DISORDER<br />
L. Siever* (1), A. New (1), M. Perez-Rodriguez (2), S.<br />
Weinstein (2), L. Bevilacqua (3), Q. Yuan (3), Z. Zhou (3), C.<br />
Hodgkinson (3), M. Goodman (1), H. Koenigsberg (1), D.<br />
Goldman (3)<br />
1. Mount Sinai School <strong>of</strong> Medicine/Bronx VA <strong>Medical</strong> Center<br />
2. Mount Sinai School <strong>of</strong> Medicine 3. NIAAA/NIH<br />
* Larry.Siever@va.gov<br />
The serotonin system has been implicated in the regulation <strong>of</strong><br />
impulsive aggression and in the pathogenesis <strong>of</strong> borderline<br />
personality disorder on the basis <strong>of</strong> neuropharmacologic,<br />
neuroimaging, and treatment studies. Reduced serotonergic<br />
activity is associated with reduced prefrontal control <strong>of</strong> the<br />
emergence <strong>of</strong> aggression upon emotional provocation.<br />
Responses to fenfluramine agent and imaging <strong>of</strong> serotonin<br />
synthesis with methyl-L-tryptophan trapping suggest reduced<br />
presynaptic serotonergic activity. TPH2 is the rate limiting<br />
step for serotonin synthesis in the brain and this study was<br />
designed to evaluate the genetics <strong>of</strong> TPH2 in relation to<br />
impulsive aggression in borderline personality and a cohort <strong>of</strong><br />
251 personality disorder patients and 103 healthy controls.<br />
All subjects were free <strong>of</strong> medication, screened for medical<br />
problems, and met criteria for a personality disorder and were<br />
evaluated diagnostically and using a composite measure <strong>of</strong><br />
aggression based on the Buss Perry Aggression Inventory.<br />
123 Caucasian subjects were evaluated for a risk haplotype<br />
associated with reduced serotonergic activity and suicide in a<br />
Finnish cohort (Zhou et al, 2005). In our study subjects<br />
carrying the risk haplotype demonstrated higher aggression<br />
scores and were more likely to be diagnosed with borderline<br />
personality disorder (p
O2.2 MOLECULAR NETWORKS OF LITHIUM<br />
RESPONSE: CONVERGENCE ACROSS PHYLOGENY<br />
A. Gupta (1), T. Schulze (2), N. Akula (1), F. McMahon (1),<br />
S. Detera-Wadleigh (1)<br />
1. NIMH 2. NIMH PI3K/AKT Signaling In Dopaminergic<br />
Action<br />
How lithium elicits mood stabilization in bipolar disorder<br />
patients has not been fully explained. Perturbations by lithium<br />
in key components <strong>of</strong> the phosphoinositide and Wnt<br />
signaling pathways have been demonstrated consistently,<br />
recommending their prominent role in lithium response. To<br />
evaluate the global effect <strong>of</strong> lithium, we assembled expression<br />
studies performed in various organisms and identified<br />
differentially expressed genes and proteins. We sought to<br />
capture, through pathway analysis, the biological relationships<br />
<strong>of</strong> these genetic factors. This generated a molecular network<br />
that may unify the disparate mechanisms recruited by the drug<br />
and exposes potential markers for lithium response. Genes up-<br />
and down-regulated by lithium were initially identified from<br />
>20 gene-based and 5 protein-based studies, with a focus on<br />
large microarray studies. Homologs significantly regulated in<br />
the same direction across two or more species/studies were<br />
given preference and fed into the pathway analysis programs<br />
Ingenuity and Cytoscape. Enzymes classically shown to alter<br />
lithium response were also included. Networks resulting from<br />
both were compared for overlaps and hubs <strong>of</strong> importance<br />
verified. Two pathway analysis tools were trained on 19<br />
lithium-responsive genes and proteins/enzymes. Major gene<br />
hubs centered at AKT1, BCL2, CALM, EZR and GSK3B<br />
and minor ones localized at ATF4, PTGS2, BDNF, CRYAB,<br />
SYN1. Where these cores converged could be considered key<br />
features <strong>of</strong> the network. Although multiple genes populate the<br />
networks, coalescence into a more unified molecular<br />
repertoire may underlie the overall effect <strong>of</strong><br />
lithium. Conceivably, some genes may be used as new drug<br />
targets and diagnostic tools as well.<br />
O2.3 BEHAVIORAL ANALYSES OF TRANSGENIC<br />
MICE HARBORING BIPOLAR DISORDER<br />
CANDIDATE GENES, IMPA1 AND IMPA2<br />
T. Yoshikawa* (1), T. Ohnishi (1)<br />
1. RIKEN Brain Science Institute<br />
* takeo@brain.riken.jp<br />
IMPase (myo-inositol monophosphatase) generates free<br />
inositol from inositol monophosphate. The inositol depletion<br />
hypothesis proposes the inhibition <strong>of</strong> IMPase by lithium, a<br />
mood stabilizer, as a mechanism <strong>of</strong> lithium’s efficacy. This<br />
hypothesis predicts that the upregulation <strong>of</strong> this biochemical<br />
pathway may underlie the pathophysiology <strong>of</strong> bipolar<br />
disorder. In favor <strong>of</strong> this idea, we have recently shown that<br />
IMPA2 encoding IMPase is a candidate susceptibility gene for<br />
bipolar disorder and that the risk-conferring single nucleotide<br />
polymorphisms (SNPs) enhance the promoter activity <strong>of</strong><br />
IMPA2. Furthermore, some studies have suggested an<br />
increase in the myo-inositol content in the brains <strong>of</strong><br />
bipolar patients. However, it is yet unknown whether such<br />
upregulation has a biological role in bipolar disorder. To<br />
address this issue, we generated Tg (transgenic) mice for the<br />
two human IMPase genes (IMPA1 and IMPA2) under the<br />
control <strong>of</strong> brain-specific promoters, and examined them using<br />
multiple behavioral test batteries. The Tg mice behaved<br />
normally except for subtle changes in some paradigms<br />
under durg-naïve conditions, and did not exhibit signs for<br />
manic change when an antidepressant amitriptyline was<br />
chronically administrated. Interestingly, the male Tg mice for<br />
IMPA2 exhibited a lithium-resistant phenotype in the forced<br />
swim test. The current study did not support a substantial<br />
role <strong>of</strong> the upregulation <strong>of</strong> IMPase in the pathogenesis <strong>of</strong><br />
bipolar disorder, at least from animal experiments, although<br />
the lithium-insensitivity trait seen in IMPA2 Tg mice might<br />
represent some aspect relevant to the inositol depletion<br />
hypothesis.
O2.4 CANDIDATE GENE PHARMACOGENETICS<br />
STUDY OF MGLU 2/3 AGONIST LY2140023<br />
A. Downing (1), W. Liu (1), L. Shen (1), L. Munsie (1), P.<br />
Chen (1), B. Han (1), J. Brandt (1), R. Njau (1), B. Kinon (1),<br />
L. Nisenbaum (1)<br />
1. Eli Lilly and Company<br />
LY2140023 is the oral prodrug <strong>of</strong> LY404039, a selective<br />
agonist for metabotropic-glutamate 2/3 (mGlu) receptors.<br />
LY2140023 is currently under development for the treatment<br />
<strong>of</strong> schizophrenia and has the potential to introduce a novel<br />
mechanism <strong>of</strong> action for antipsychotics. The primary goal <strong>of</strong><br />
the pharmacogenetics effort is to identify genetic markers that<br />
are predictive <strong>of</strong> patients’ response to LY2140023 and could<br />
be used to target specific subpopulations for treatment.<br />
Genetic variants in eight candidate genes related to the<br />
mechanism <strong>of</strong> action <strong>of</strong> LY2140023 or the atypical<br />
antipsychotic olanzapine were investigated in DNA samples<br />
collected as part <strong>of</strong> the Phase II pro<strong>of</strong> <strong>of</strong> concept trial,<br />
H8Y-MC-HBBD. Primary statistical analysis was conducted<br />
on 193 Caucasian patients treated with either placebo,<br />
LY2140023 or olanzapine using an ANCOVA model<br />
assuming LOCF and additive inheritance. Associations<br />
between LY2140023 response and genotypes were identified<br />
for SNPs within the HTR2A and NRG1 genes. Three SNPs (1<br />
in NRG1, 2 in HTR2A) were statistically significantly<br />
associated with LY2140023 response at 28 days as measured<br />
by Positive and Negative Syndrome scale (PANSS) Total<br />
change from baseline. All three SNPs had unadjusted p-values<br />
less than 0.001 (FDR=0.114) at 28 days. These SNPs were<br />
investigated in a second cohort collected from trial<br />
H8Y-MC-HBBI, which had an inconclusive primary clinical<br />
endpoint. While the genetic results did not reach statistical<br />
significance in HBBI, the HTR2A minor homozygous group<br />
showed the greatest treatment response in both HBBD and<br />
HBBI. In conclusion, these data suggest that a genetic<br />
association may impact response to LY2140023 treatment.<br />
O2.5 CONVERGENT ANIMAL AND HUMAN<br />
EVIDENCE FOR A ROLE OF PPM1A GENE IN<br />
RESPONSE TO ANTIDEPRESSANTS<br />
K. Malki* (1), R. Uher (1), E. Binder (1), J. Payo-Cano (1),<br />
C. Lewis (1), J. Rietschel (1), W. Maier (1), O. Mors (1), J.<br />
Hauser (1), N. Henigsberg (1), B. Jerman (1), D. Souery (1),<br />
A. Placentino (1), K. Aitchison (1), A. Farmer (1), I. Craig (1),<br />
L. Schalkwyk (1)<br />
1. IOP<br />
* karim.malki@iop.kcl.ac.uk<br />
Anti-depressant drugs are used as first line treatment in<br />
depression but response has been shown to be highly<br />
heterogeneous with drugs <strong>of</strong>ten failing to have the desired<br />
therapeutic effect. We report on an integrative analysis from<br />
the Genome-based Therapeutic Drugs for Depression<br />
(GENDEP) study using gene expression from mice to inform<br />
prioritisation in human pharmacogenetic GWAS. The same<br />
two antidepressants were used in mice and humans:<br />
escitalopram (a serotonin-reuptake inhibitor) and nortriptyline<br />
(a norepinephrine-reuptake inhibitor). The animal study used<br />
four inbred strains <strong>of</strong> mice (129S1/SvlmJ, C57LB/6J, DBA/2J<br />
and FVB/NJ), and two stress protocols (maternal separation<br />
and chronic mild stress). Hippocampus mRNA data was<br />
measured in 144 animals using the Affymetrix 430 chip.<br />
Behavioural data informed gene-expression analysis looking<br />
for Strain(G)xDrug(E) interactions. Twenty-six genes were<br />
identified as being differentially expressed according to strain<br />
and drug, including the phosphatase 1A gene (Ppm1a)<br />
differentially expressed with nortriptyline vs. saline. Single<br />
nucleotide polymorphisms tagging common sequence<br />
variation in human homologues <strong>of</strong> these genes were tested for<br />
association with response to antidepressants in 706<br />
participants <strong>of</strong> the GENDEP human pharmacogenetic study,<br />
treated with escitalopram or nortriptyline for 12 weeks, with<br />
available high-quality Illumina 610quad chip genotyping.<br />
Several polymorphisms in the protein phosphatase 1A gene<br />
(PPM1A) were significantly associated with response to<br />
nortriptyline in humans after correction for multiple testing.<br />
PPM1 encodes a phosphatase involved in MAP kinase<br />
signalling and cell stress response. The convergent evidence<br />
from mice and humans points to a role <strong>of</strong> the PPM1A in<br />
response to noradrenergic but not serotonergic antidepressants.
O2.6 INDIVIDUALIZED ANTIPSYCHOTIC THERAPY<br />
FOR SCHIZOPHRENIA<br />
K. Aberg* (1), J. McClay (1), D. Adkins (1), J. Bukszar (1),<br />
P. Jia (2), Z. Zhao (2), V. Vladimirov (3), J. Lieberman (4), P.<br />
Beardsley (5), P. Sullivan (6), E. van den Oord (7)<br />
1. Center for Biomarker Research and Personalized Medicine,<br />
Virginia Commonwealth University 2. Department <strong>of</strong><br />
Biomedical Informatics, Vanderbilt University <strong>Medical</strong> Center<br />
3. Virginia Institute for Psychiatric and Behavioral Genetics,<br />
Virginia Commonwealth University 4. Department <strong>of</strong><br />
Psychiatry, Columbia University 5. Department <strong>of</strong><br />
Pharmacology and Toxicology, Virginia Commonwealth<br />
University 6. Department <strong>of</strong> Genetics, University <strong>of</strong> North<br />
Carolina at Chapel Hill 7. Center for Biomarker Research and<br />
Personalized Medicine, Virginia Commonwealth University;<br />
Virginia Institute for Psychiatric and Behavioral Genetics,<br />
Virginia Commonwealth University<br />
* kaaberg@vcu.edu<br />
Understanding individual variation causing differences in<br />
efficacy and development <strong>of</strong> adverse effects, as a response to<br />
antipsychotic therapy is essential to optimize and individualize<br />
the treatment for schizophrenia. Genetic variations may<br />
potentially affect the response to antipsychotic treatment.<br />
We are conducting a series <strong>of</strong> genomewide association studies<br />
(GWAS) in the Clinical Antipsychotic Trials <strong>of</strong> Intervention<br />
Effectiveness (CATIE) for a wide variety <strong>of</strong> efficacy (e.g.<br />
disease symptoms, neurocognition) and toxicity (e.g. QT<br />
prolongation, movement and metabolic side effects) measures.<br />
To study these measures, we developed a systematic method<br />
to estimate treatment effects in CATIE that combines<br />
information from all assessments in an empirical fashion.<br />
After quality control, 492K successfully genotyped SNPs were<br />
available for 738 schizophrenia patients. Several signals<br />
reached genomewide significance at our pre-specified<br />
threshold ensuring that no more than 10% <strong>of</strong> our significant<br />
findings are expected to be false discoveries. A SNP in MEIS2<br />
mediated the effect <strong>of</strong> risperidone on hip and waist<br />
circumference and showed secondary associations with BMI,<br />
and blood pressure. Another SNP, located in SLC22A23,<br />
mediated the effect <strong>of</strong> quetiapine on QT prolongation. Many<br />
other signals were found for genes that are good candidates for<br />
further studies. We are developing a user-friendly databases to<br />
store all GWAS results. This database allow other researchers<br />
to design replication studies, search the CATIE results to<br />
confirm their findings, perform cross-outcome analyses, and<br />
combine new data with the CATIE GWAS results.<br />
Furthermore, we are currently developing methods to<br />
incorporate pathway information in the analyses, which will<br />
improve the statistical power.<br />
O3 ANXIETY<br />
O3.1 THE SYMPTOMATIC PROFILE OF PANIC<br />
DISORDER IS SHAPED BY THE 5-HTTLPR<br />
POLYMORPHISM<br />
T. Lonsdorf (1), M. Schalling* (1), C. Ruck (1), J. Bergstrom<br />
(1), G. Andersson (2), A. Ohman (1), N. Lindefors (1)<br />
1. Karolinska Institutet 2. Uppsala University<br />
* martin.schalling@ki.se<br />
The short allele <strong>of</strong> a functional polymorphism (5-HTTLPR) in<br />
the serotonin transporter is associated with reduced serotonin<br />
transporter (5-HTT) expression and also with neuroticism,<br />
amygdalare activity and facilitated fear conditioning. Thus the<br />
5-HTTLPR is a candidate variant for panic disorder. However,<br />
case-control studies have consistently failed to show an<br />
association between 5-HTTLPR and panic disorder. As<br />
psychiatric disorders are broadly defined phenotypes merging<br />
different symptoms to syndromes, they may not be very well<br />
suited for genetic association studies. An alternative approach<br />
is to measure symptoms along continuous psychological<br />
dimensions which may more appropriately reflect their<br />
biological underpinnings and may reveal subpopulations<br />
within clinical diagnostic groups. We recorded the<br />
symptomatic pr<strong>of</strong>ile in 73 mainly Caucasian panic disorder<br />
patients using observer-rated instruments (Panic Disorder<br />
Severity Scale, PDSS; Montgomery-Åsberg Depression<br />
Rating Scale, MADRS) prior to treatment, after10-weeks <strong>of</strong><br />
psychological treatment and six months after treatment. We<br />
observed a strong and time-stable association between bi-and<br />
triallelic 5-HTTLPR polymorphisms and the symptomatic<br />
pr<strong>of</strong>ile. Carriers <strong>of</strong> the 5-HTTLPR s-allele suffered from more<br />
severe panic and depressive symptoms as compared to those<br />
homozygous forthe l-allele. Our data highlight the importance<br />
<strong>of</strong> defining appropriate phenotypes for psychiatric genetic<br />
studies and demonstrate that the 5-HTTLPR genotype may be<br />
related to the symptomatic pr<strong>of</strong>ile rather than to the<br />
vulnerability to develop panic disorder.
O3.2 POLYMORPHISMS IN THE GENE ENCODING<br />
THE NEUROPEPTIDE GALANIN ARE ASSOCIATED<br />
WITH HPA-AXIS DYSREGULATION AND<br />
SYMPTOME SEVERITY IN MAJOR-DEPRESSIVE-<br />
AND ANXIETY-DISORDER PATIENTS.<br />
P. Unschuld* (1), M. Ising (1), D. Roeske (1), A. Erhardt (1),<br />
M. Specht (1), S. Ripke (1), M. Uhr (1), S. Kloiber (1), B.<br />
Müller-Myhsok (1), F. Holsboer (1), E. Binder (1)<br />
1. Max Planck Institute <strong>of</strong> Psychiatry, Kraepelinstr. 2-10,<br />
80804 München, Germany<br />
* unschuld@mpipsykl.mpg.de<br />
Galanin (GAL) is an estrogen inducible neuropeptide, highly<br />
expressed in brain-regions processing mood and behavior.<br />
GAL possibly has a direct modulatory effect on<br />
hypothalamic-pituitary-adrenal axis (HPA) regulation, as<br />
recent pharmacological and genetic studies indicate a<br />
significant role <strong>of</strong> GAL in stress-related disorders.<br />
By using a tag SNP approach covering the GAL-gene, we<br />
expanded an earlier finding <strong>of</strong> a genetic association with<br />
panic-disorder in female subjects to a larger sample <strong>of</strong> 268<br />
outpatients with anxiety disorders (AD) and 541 inpatients<br />
with major depressive disorder (MDD). As intermediate<br />
phenotype for treatment response, HPA-axis dysregulation<br />
using the combined dexamethasone suppression / CRH<br />
stimulation test both at admission and discharge was evaluated<br />
in 298 MDD-inpatients. To test for case-control associations,<br />
a healthy control sample (n=541) was used. Genotyping<br />
revealed high LD in the promotor area <strong>of</strong> the GAL-gene,<br />
including predescribed estrogen binding element sites. We<br />
found associations <strong>of</strong> the rare allele <strong>of</strong> rs948854 in female<br />
AD-patients with more severe anxious pathology and in<br />
premenopausal MDD-patients with higher HPA-axis activity<br />
at admission, more severe anxious pathology at discharge and<br />
non-remission. No significant case-control associations could<br />
be observed. The here presented data suggest a gender-specific<br />
role <strong>of</strong> GAL SNPs in liability for anxious and depressive<br />
disorders, characterized by a particularly dysregulated<br />
HPA-axis.<br />
O3.3 VARIANTS IN SLITRK1 ARE ASSOCIATED<br />
WITH THE OBSESSIVE-COMPULSIVE DISORDER<br />
SPECTRUM<br />
U. Ozomaro* (1), R. Moessner (2), M. Cuccaro (1), M.<br />
Pericak-Vance (1), M. Wagner (2), G. Feng (3), S. Zuchner<br />
(1)<br />
1. Miami Institute for Human Genomics, University <strong>of</strong> Miami,<br />
Miami, USA 2. Psychiatrische Klinik der Universitaet Bonn,<br />
Bonn, Germany 3. Department <strong>of</strong> Neurobiology, Duke<br />
University <strong>Medical</strong> Center, Durham, USA<br />
*uozomaro@med.miami.edu<br />
Obsessive-Compulsive Disorder (OCD) and the spectrum <strong>of</strong><br />
closely related disorders are characterized by persistent<br />
intrusive thoughts (obsessions), repetitive actions<br />
(compulsions), and excessive anxiety. Although heritability<br />
studies in OCD have shown an increased risk for first degree<br />
relatives, and twin studies revealed higher concordance<br />
amongst monozygotic twins (compared to dizygotic twins),<br />
the identification <strong>of</strong> the underlying risk-conferring genetic<br />
variation by means <strong>of</strong> classic genetic association studies has<br />
proven to be difficult. Recently, the possibility <strong>of</strong> a larger<br />
contribution <strong>of</strong> rare genetic variants to the risk <strong>of</strong> psychiatric<br />
disorder has been suggested by several successful studies. In<br />
accordance with this hypothesis we applied a rare variant<br />
association study design to explore SLITRK1, a gene<br />
previously linked to disorders <strong>of</strong> the OCD spectrum. We<br />
directly resequenced SLITRK1 in 279 OCD spectrum cases<br />
and in 185 psychiatric controls. We identified two novel<br />
nonsynonymous variants in five cases, N400I and T418S. The<br />
N400I variant was found in one case, while the T418S change<br />
was identified in four cases. Neither variant, nor any other<br />
nonsynonymous changes were detected in the controls. In a<br />
previous study, we identified two rare variants in SLITRK1,<br />
R584K and S593G, whose sequence changes were<br />
significantly associated with trichotillomania, an OCD<br />
spectrum disorder. Taking into consideration the combined<br />
mutation load <strong>of</strong> our two studies, OCD spectrum cases are<br />
significantly associated with variants in SLITRK1 (complete<br />
gene sequencing; p=0.043, Fisher’s exact test). SLITRK1<br />
codes for a neurite modulating protein and is found in the<br />
striatum. Additional support for a role <strong>of</strong> SLITRK1 in OCD<br />
spectrum disorders comes from a recent SLITRK1 knockout<br />
mouse characterized by anxiety and mirroring aspects <strong>of</strong> the<br />
human disorder. We are currently performing functional<br />
in-vitro studies to further clarify the molecular consequences<br />
<strong>of</strong> these variants.
O3.4 ACCELERATED TELOMERE SHORTENING IN<br />
A POPULATION-BASED NESTED CASE-CONTROL<br />
STUDY OF ANXIETY DISORDER PATIENTS<br />
L. Kananen (1), I. Surakka (2), S. Pirkola (3), J. Suvisaari (4),<br />
J. Lönnqvist (4), L. Peltonen (5), S. Ripatti (2), I. Hovatta*<br />
(6)<br />
1. Mol Neurol Res Program, Univ Helsinki, Finland 2. Public<br />
Health Genomics Unit, Natl Inst for Health and Welfare;<br />
FIMM, Inst for Mol Med Finland, Univ Helsinki, Finland 3.<br />
Dept <strong>of</strong> Psychiatry, Helsinki University Central Hospital<br />
Finland 4. Mental Health and Substance Abuse Services, Natl<br />
Inst for Health and Welfare, Helsinki, Finland 5. FIMM, Inst<br />
<strong>of</strong> Mol Med Finland, Univ Helsinki; Wellcome Trust Sanger<br />
Inst, Hinxton, UK 6. Mol Neurol Res Program, Univ Helsinki;<br />
Mental Health and Substance Abuse Services, Natl Inst for<br />
Health and Welfare; Dept <strong>of</strong> Med Genet, Univ Helsinki,<br />
Finland<br />
* iiris.hovatta@helsinki.fi<br />
Accelerated telomere shortening has been previously<br />
associated to self-perceived stress and psychiatric disorders,<br />
including schizophrenia and mood disorders. We hypothesized<br />
that accelerated telomere shortening might be involved in the<br />
etiology <strong>of</strong> anxiety disorders, in which stress and stressful life<br />
events are major environmental predisposing factors. We set<br />
out to test this hypothesis in a randomly selected<br />
population-based Health 2000 cohort with 974 samples<br />
including 321 anxiety disorder patients and 653 matched<br />
controls aged 30-87 years, who all underwent Composite<br />
International Diagnostic Interview. Relative telomere length <strong>of</strong><br />
peripheral blood cells was measured by quantitative real-time<br />
PCR. Anxiety disorder patients in the older age group (48-87<br />
years) exhibited significantly shorter telomeres than healthy<br />
controls. The association was highly stable and robust across<br />
adjustments for previously associated factors and potential<br />
confounders. In the whole sample and the younger age group<br />
(30-47 years), shorter telomere length was associated with<br />
greater number <strong>of</strong> childhood adverse life events, both in the<br />
anxiety disorder cases and controls. Childhood chronic illness<br />
was the most significantly associated single event affecting<br />
telomere length at the adult age. Self-reported current<br />
psychological distress, as measured by GHQ-12, did not have<br />
an effect on the telomere length. Our results suggest that<br />
accelerated telomere shortening in anxiety disorder patients is<br />
likely due to a long-term stress related to anxiety disorders.<br />
This finding strengthens the hypothesis that oxidative stress,<br />
which is known to affect telomere length, is involved in the<br />
pathogenesis <strong>of</strong> anxiety disorders.<br />
O3.5 PRIORITIZATION AND ASSOCIATION<br />
ANALYSIS OF MURINE-DERIVED CANDIDATE<br />
GENES IN ANXIETY-SPECTRUM DISORDERS<br />
J. Hettema (1), B. Webb (1), A. Guo (2), Z. Zhao (2), B.<br />
Maher (1), X. Chen (1), S. An (1), C. Sun (1), K. Kendler (1),<br />
P. Kuo (3), J. Flint (4), E. van den Oord (1)<br />
1. Virginia Commonwealth University 2. Vanderbilt<br />
University 3. National Taiwan University 4. Oxford<br />
University<br />
* jhettema@vcu.edu<br />
Introduction: Anxiety disorders are common psychiatric<br />
conditions that are highly comorbid with each other and<br />
related phenotypes such as depression and personality,<br />
possibly due to a shared genetic basis. Fear-related behaviors<br />
in mice have long been investigated as potential models <strong>of</strong><br />
anxiety-spectrum disorders, making integration <strong>of</strong> information<br />
from both murine and human genetic data a powerful strategy<br />
for identifying potential susceptibility genes for these<br />
conditions. Methods: A genome-wide association analysis<br />
(GWAS) <strong>of</strong> fear-related behaviours in heterogeneous<br />
stock mice identified a preliminary list <strong>of</strong> 54 novel candidate<br />
genes. We ranked these according to three complementary<br />
sources <strong>of</strong> anxiety-related genetic data: (1) human linkage<br />
scans, (2) a human GWAS study, and (3) linkage and<br />
knock-out studies in mice. We genotyped tagging SNPs<br />
covering the nine top-ranked genic regions in a two-stage<br />
association study <strong>of</strong> subjects genetically informative for<br />
anxiety-spectrum disorders. Results: Stage 1 screening<br />
identified SNPs in several <strong>of</strong> the regions that demonstrated<br />
suggestive association that were carried forward for<br />
genotyping in stage 2. While most <strong>of</strong> these did not retain their<br />
association in stage 2, multiple SNPs and related haplotypes in<br />
the PPARGC1A gene did. Conclusions: Integration <strong>of</strong> genetic<br />
data across human and murine studies suggests PPARGC1A<br />
as a potential susceptibility gene for anxiety-spectrum<br />
disorders.
O4 ADHD<br />
O4.1 HAPLOTYPE SEGREGATION IN MULTIPLEX<br />
ADHD FAMILIES AT DIFFERENT CHROMOSOMAL<br />
LOCI<br />
M. Lin* (1), T. Nguyen (2), C. Freitag (3), H. Palmason (1),<br />
C. Seitz (4), T. Renner (5), M. Romanos (5), S. Walitza (5), C.<br />
Jacob (6), K. Lesch (6), J. Meyer (1)<br />
1. Institute <strong>of</strong> Psychobiology, Department <strong>of</strong> Neurobehavioral<br />
Genetics, Trier, Germany 2. Institute <strong>of</strong> <strong>Medical</strong> Biometry and<br />
Epidemiology, Philipps-University, Marburg, Germany 3.<br />
Goethe-University Frankfurt am Main, Department <strong>of</strong> Child<br />
and Adolescent Psychiatry, Frankfurt, Germany 4. Saarland<br />
University Hospital, Department <strong>of</strong> Child and Adolescent<br />
Psychiatry, Homburg, Germany 5. University<strong>of</strong> Wuerzburg,<br />
Department <strong>of</strong> Child and Adolescent Psychiatry and<br />
Psychotherapy, Wuerzburg, Germany Wuerzburg, Germany 6.<br />
University <strong>of</strong> Wuerzburg, Department <strong>of</strong> Psychiatry and<br />
Psychotherapy, Wuerzburg, Germany<br />
* s1kalinn@uni-trier.de<br />
Attention-deficit hyperactivity disorder (ADHD) is a<br />
neuropsychiatric disorder characterized by symptoms <strong>of</strong><br />
inattention, hyperactivity and increased impulsiveness.<br />
Despite many studies over the last decades, the etiology <strong>of</strong><br />
ADHD remains unknown. Eight large ADHD-affected<br />
families were recruited in a multicenter collaboration study<br />
conducted by three clinical units <strong>of</strong> child and adult psychiatry<br />
(Universities <strong>of</strong> Trier, Homburg/Saar, and Wuerzburg). They<br />
comprised <strong>of</strong> 191 individuals, <strong>of</strong> which 95 were afflicted with<br />
ADHD. Fine-mapping with microsatellite markers <strong>of</strong> the<br />
significant loci reported in our recent paper (Romanos et al,<br />
2008) <strong>of</strong> a genome-wide linkage study <strong>of</strong> the eight large<br />
families was carried out. Using genetic data derived from<br />
related individuals within each <strong>of</strong> the large families, an<br />
attempt is made to identify predisposing chromosomal regions<br />
in these families by verifying which <strong>of</strong> these significant<br />
regions actually segregate among the ADHD-affected<br />
individuals in the pedigrees. Several <strong>of</strong> the large ADHD<br />
families show evidence <strong>of</strong> haplotype segregation at 1q25<br />
(HLOD = 2.99, p = 0.00021, alpha = 0), 9q22 (LOD = 2.61, p<br />
= 0.00053), 12p13 (LOD = 3.07, p = 0.00017), p = 0.0000065)<br />
and 18q11 (LOD = 2.90, p = 0.00026). Evidence <strong>of</strong> multiple<br />
segregating loci suggests genetic heterogeneity. To better<br />
discern the complexly inherited trait <strong>of</strong> ADHD, we will assess<br />
the segregating loci in these families in order to identify<br />
plausible candidate genes and variants contributing to the<br />
disorder. Further studies on these segregating regio regions <strong>of</strong><br />
chromosomes will be executed with next-generation<br />
sequencing techniques.<br />
O4.2 A NEURODEVELOPMENTAL PATHWAY FOR<br />
ATTENTION DEFICIT HYPERACTIVITY DISORDER<br />
(ADHD) : INTEGRATING THE GENOME-WIDE<br />
ASSOCIATION FINDINGS<br />
G. Poelmans (1), D. Pauls (2), J. Buitelaar (1), B. Franke* (3)<br />
1. Department <strong>of</strong> Psychiatry, Donders Institute for Brain,<br />
Cognition and Behaviour, Radboud University Nijmegen<br />
<strong>Medical</strong> Centre, Nijmegen, The Netherlands 2. Psychiatric and<br />
Neurodevelopmental Genetics Unit, Center for Human<br />
Genetic Research, Massachusetts General Hospital, Harvard<br />
<strong>Medical</strong> School, Boston, USA 3. Department <strong>of</strong> Psychiatry,<br />
Donders Institute for Brain, Cognition and Behaviour,<br />
Radboud University Nijmegen <strong>Medical</strong> Centre, Nijmegen,<br />
The Netherlands and Department <strong>of</strong> Human Genetics,<br />
Radboud University Nijmegen <strong>Medical</strong> Centre, Nijmegen,<br />
The Netherlands<br />
* g.poelmans@psy.umcn.nl<br />
Attention Deficit Hyperactivity Disorder (ADHD) is a<br />
common neuropsychiatric disorder observed in children and<br />
adults. The disorder is characterised by inappropriate levels <strong>of</strong><br />
hyperactive, impulsive and inattentive behaviours that lead to<br />
significant clinical and psychosocial impairments. ADHD<br />
belongs to the multifactorial disorders and is highly heritable.<br />
Recently, the first genome-wide association studies (GWAS)<br />
for ADHD have been published. Firstly, we compiled a list <strong>of</strong><br />
100 top single nucleotide polymorphisms (SNPs) in gene<br />
regions from the three published GWAS for ADHD, taking<br />
into account the reported SNPs with association at p <<br />
5.00E-04. Secondly, we searched the literature for the<br />
(proposed) function <strong>of</strong> these 100 candidate genes and tried to<br />
functionally integrate them into one pathway. We found that<br />
approximately 1 in 4 <strong>of</strong> the ADHD candidate genes emerging<br />
from the GWAS for ADHD (i.e. 26 out <strong>of</strong> the 100 putative<br />
ADHD candidate genes) fitted into a neurodevelopmental<br />
pathway that links axonal guidance genes/proteins at the<br />
synapse (such as the ROBO1, UNC5B, UNC5C, LPL,<br />
CDH13, CTNNA2, NTRK3, ADCYAP1R1 and NUCB1<br />
genes) with several downstream-acting adaptor and (neuronal)<br />
cytoskeleton associated genes/proteins (such as the FHIT,<br />
NEDD4L, SEC14L4, VWC2L, RAB1B, MBOAT1, EREG,<br />
PPM1F, RBM35A, MAP1B, MOBP, DNM1, ITGA11,<br />
MMP24 and SPOCK3 genes) and eventually results in<br />
neuronal migration, i.e. directed neurite outgrowth.<br />
In summary, we have identified a common eurodevelopmental<br />
pathway that may provide an important contribution to the<br />
understanding <strong>of</strong> ADHD etiology.
O4.3 RISK PATHWAYS OR PLEIOTROPIC EFFECTS?<br />
AN INVESTIGATION INTO COGNITIVE<br />
INTERMEDIATE PHENOTYPES CONTRIBUTING TO<br />
THE ASSOCIATION BETWEEN COMT VAL158MET<br />
GENOTYPE AND ANTISOCIAL BEHAVIOUR IN<br />
CHILDREN WITH ADHD<br />
K. Langley* (1), J. Heron (2), M. O'Donovan (1), M. Owen<br />
(1), A. Thapar (1)<br />
1. MRC Centre for Neuropsychiatric Genetics & Genomics,<br />
Cardiff University 2. ALSPAC, Dept <strong>of</strong> Social Medicine,<br />
University <strong>of</strong> Bristol<br />
* langleyk@cardiff.ac.uk<br />
As replicated genetic susceptibility loci for psychiatric<br />
disorders are identified, it becomes necessary to investigate<br />
the mechanisms through which such genotypes exert their<br />
effect. One proposal is to identify intermediate phenotypes<br />
lying on the risk pathway between genotype and outcome.<br />
An association between the COMT Val158Met polymorphism<br />
in the presence <strong>of</strong> ADHD and antisocial behaviour has been<br />
independently replicated in three separate studies and pooled<br />
analysis. We replicated this association in a further sample,<br />
then investigated the role <strong>of</strong> two potential intermediate<br />
phenotypes; executive functioning and “Social cognitive<br />
dysfunction” (lack <strong>of</strong> empathy and awareness <strong>of</strong> others’<br />
emotions). Utilising data from the prospective longitudinal<br />
ALSPAC sample <strong>of</strong> children aged eight years old, (n=4365)<br />
we replicated previous findings that Val/Val genotype in the<br />
presence <strong>of</strong> ADHD is associated with increased antisocial<br />
behaviour (beta=0.07, t=4.47, p=3x10-6). Measures <strong>of</strong><br />
executive function were associated with both the COMT<br />
Val/Val genotype (p=0.02 to p
O5 GENETIC OVERLAP<br />
O5.1 COPY NUMBER VARIATION AND GENE<br />
DOSAGE CHANGES IN AUTISM: OVERLAP WITH<br />
REGIONS INVOLVED IN SCHIZOPHRENIA AND<br />
BIPOLAR DISEASE<br />
M. Smith (1), P. Flodman (1), J. Gargus (1), M. Simon (1), J.<br />
Heck (1), D. Wallace (1)<br />
1. University <strong>of</strong> California, Irvine<br />
We utilized AFFYMETRIX SNP 6.0 microarrays to search for<br />
genome copy number variants (CNV) in autism. We<br />
discovered rare large CNV and smaller structural variants.<br />
Microarray studies revealed the presence <strong>of</strong> deletion <strong>of</strong> 4M<strong>of</strong><br />
chromosome 12p and duplication <strong>of</strong> 4M <strong>of</strong> 2p in siblings with<br />
autism. Follow-up FISH studies revealed an unbalanced<br />
chromosome translocation between2p and 12p in each sib.<br />
Adjacent genes hemizygously deleted in this sib pair include<br />
the CACNA1C voltage gated ion channel gene, ion channel<br />
CACNA2D andERC2 neurotransmitter release gene.<br />
CACNA1C has been implicated in other cases <strong>of</strong> autism and<br />
in association studies <strong>of</strong> bipolar disorder. In a subject with<br />
autism and aggression we identified <strong>of</strong> a 2q37.3 chromosome<br />
deletion and duplication on5q33-q34 that included 5 GABA<br />
receptor loci, GABRA1, GABRG2, GABRA6, GABRB2,and<br />
GABRP. This chromosome region has been implicated in the<br />
etiology <strong>of</strong> schizophrenia in a number <strong>of</strong> different studies. In a<br />
subject with autism and seizures we confirmed presence <strong>of</strong> a<br />
deletion <strong>of</strong> 15q13.3 that leads to loss <strong>of</strong> a number <strong>of</strong> genes<br />
including CHRNA7 neurotransmitter receptor gene. Deletions<br />
in this region have been implicated in seizure disorder, mental<br />
retardation and in schizophrenia. Smaller structural variants in<br />
our autistic subjects occur predominantly in genes active at the<br />
synapse, in signal transduction and mitochondrial function.<br />
O5.2 ABCA13: A CANDIDATE GENE FOR<br />
SCHIZOPHRENIA AND BIPOLAR DISORDER<br />
D. Blackwood* (1), H. Knight (2), B. Pickard (3), A. Maclean<br />
(2), M. Malloy (2), D. Soares (3), A. McRae (4), A. Condie<br />
(5), A. White (5), W. Hawkin (5), K. McGhee (2), M. van<br />
Beck (1), D. Macintyre (1), J. Starr (6), I. Deary (7), P.<br />
Visscher (4), D. Porteous (3), R. Cannon (8), D. St. Clair (9),<br />
W. Muir (2)<br />
1. Division <strong>of</strong> Psychiatry, University <strong>of</strong> Edinburgh, Royal<br />
Edinburgh Hospital, Edinburgh, EH10 5HF, UK<br />
2. Division <strong>of</strong> Psychiatry, University <strong>of</strong> Edinburgh, Royal<br />
Edinburgh Hospital, Edinburgh, EH10 5HF, UK; <strong>Medical</strong><br />
Genetics, Institute <strong>of</strong> Genetics and Molecular Medicine,<br />
University <strong>of</strong> Edinburgh, Molecular Medicine Centre, Western<br />
General Hospital, Crewe Road 3. <strong>Medical</strong> Genetics, Institute<br />
<strong>of</strong> Genetics and Molecular Medicine, University <strong>of</strong> Edinburgh,<br />
Molecular Medicine Centre, Western General Hospital, Crewe<br />
Road, Edinburgh, EH4 2XU, UK 4. Queensland Institute <strong>of</strong><br />
<strong>Medical</strong> Research, 300 Herston Road, Herston 4006, QLD,<br />
Australia 5. Wellcome Trust Clinical Research Facility,<br />
Western General Hospital, Crewe Road, Edinburgh,<br />
EH4 2XU, UK 6. Centre for Cognitive Ageing and Cognitive<br />
Epidemiology, Geriatric Medicine unit, University <strong>of</strong><br />
Edinburgh, Royal Victoria Hospital, Craigleith Road,<br />
Edinburgh, EH4 2DN, UK 7. Centre for Cognitive Ageing and<br />
Cognitive Epidemiology, Department <strong>of</strong> Psychology,<br />
University <strong>of</strong> Edinburgh, 7 George Square, Edinburgh, EH8<br />
9JZ, UK 8. Cancer Biology Group, National Center for<br />
Toxicogenomics, NIEHS, Research Triangle Park,<br />
North Carolina 27709, USA 9. Institute <strong>of</strong> <strong>Medical</strong> Sciences,<br />
University <strong>of</strong> Aberdeen, Foresterhill, Aberdeen, AB25 2ZD,<br />
UK<br />
* d.blackwood@ed.ac.uk<br />
We investigated the brain expressed lipid transporter gene<br />
ABCA13 for a role in mental illness after showing it was<br />
directly disrupted by a breakpoint in a complex chromosome<br />
abnormality involving chromosomes 7 and 8 in a person with<br />
chronic schizophrenia. Sequencing ABCA13 exons in 100<br />
cases with schizophrenia and 100 controls revealed rare<br />
coding variants including one nonsense and nine missense<br />
mutations specific to or more common in schizophrenia. These<br />
10 variants were assayed in additional cohorts <strong>of</strong> patients with<br />
schizophrenia (~1000) bipolar disorder (~600) and controls<br />
(~2000) and their frequency was greater than controls in<br />
schizophrenia (OR=1.93, p=0.0057) and bipolar disorder<br />
(OR=2.71, p=0.00007). In the next stage we examined for the<br />
presence <strong>of</strong> each <strong>of</strong> the 10 variants in the families <strong>of</strong> carriers.<br />
106 members <strong>of</strong> 21 families took part and family size ranged<br />
from 3 to 16. Non-parametric single point linkage analysis<br />
using MERLIN to estimate identity by descent (IBD)<br />
between all pairs <strong>of</strong> affected relatives showed significant<br />
linkage <strong>of</strong> ABCA13 mutations to a phenotype including<br />
schizophrenia, bipolar disorder and major depression<br />
(LOD=4.38; p=3.5 x 10-6). These findings establish a role for<br />
ABCA13 and lipid biology in schizophrenia and bipolar<br />
disorder and also demonstrate that different rare penetrant<br />
variants in one gene may cause either schizophrenia, bipolar<br />
disorder or major depression in different families.
O5.3 RARE COPY NUMBER VARIANTS: A POINT OF<br />
RARITY IN GENETIC RISK FOR BIPOLAR<br />
DISORDER AND SCHIZOPHRENIA?<br />
D. Grozeva* (1), G. Kirov (1), D. Ivanov (2), I. Jones (1), L.<br />
Jones (3), E. Green (1), D. StClair (4), A. Young (5), N.<br />
Ferrier (5), A. Farmer (6), P. McGuffin (6), W. Wellcome<br />
Trust Case Control Consortium (7), P. Holmans (2), M. Owen<br />
(1), M. O'Donovan (1), N. Craddock (1)<br />
1. MRC Centre for Neuropsychiatric Genetics and Genomics,<br />
Department <strong>of</strong> Psychological Medicine, School <strong>of</strong> Medicine,<br />
Cardiff University, Heath Park, Cardiff, CF14 4XN, United<br />
Kingdom 2. MRC Centre for Neuropsychiatric Genetics and<br />
Genomics, Biostatistics and Bioinformatics Unit, Department<br />
<strong>of</strong> Psychological Medicine, School <strong>of</strong> Medicine, Cardiff<br />
University, Heath Park, Cardiff, CF14 4XN, United Kingdom<br />
3. Department <strong>of</strong> Psychiatry, University <strong>of</strong> Birmingham,<br />
National Centre for Mental Health, 25 Vincent Drive,<br />
Birmingham, B15 2FG, United Kingdom 4. University <strong>of</strong><br />
Aberdeen, Institute <strong>of</strong> <strong>Medical</strong> Sciences, Foresterhill,<br />
Aberdeen AB25 2ZD, United Kingdom 5. School <strong>of</strong><br />
Neurology, Neurobiology and Psychiatry, Royal Victoria<br />
Infirmary, Queen Victoria Road, Newcastle upon Tyne, NE1<br />
4LP, United Kingdom 6. SGDP, The Institute <strong>of</strong> Psychiatry,<br />
King's College London, De Crespigny Park, Denmark Hill,<br />
London SE5 8AF, United Kingdom 7. Wellcome Trust Case<br />
Control Consortium<br />
* GrozevaDV@cf.ac.uk<br />
Recent studies suggest that copy number variation in the<br />
human genome is extensive and may play an important role in<br />
susceptibility to disease, including neuropsychiatric disorders<br />
such as schizophrenia and autism. The possible involvement<br />
<strong>of</strong> copy number variants (CNVs) in Bipolar disorder (BD) has<br />
received little attention to date. We sought to determine<br />
whether large (>100kb) and rare (found in > 1% <strong>of</strong> the<br />
population) CNVs are associated with susceptibility to BD and<br />
to make comparisons with findings in schizophrenia.<br />
We performed a genome-wide survey for CNVs in 1697 BD<br />
patients and 2806 healthy controls from the Wellcome Trust<br />
Case Control Consortium, using the Affymetrix 500K array.<br />
The burden <strong>of</strong> large CNVs (≥1Mb) in BD was not increased<br />
compared with controls, and was significantly less than in<br />
schizophrenia cases. CNVs previously implicated in the<br />
aetiology <strong>of</strong> schizophrenia were not more common in cases.<br />
Schizophrenia and bipolar disorder differ with respect to CNV<br />
burden in general, and association with specific CNVs in<br />
particular. Our data are consistent with the possibility that<br />
possession <strong>of</strong> large rare deletions may modify the phenotype<br />
in those at risk <strong>of</strong> psychosis: those possessing such events are<br />
more likely to be diagnosed with schizophrenia; those without<br />
such events are more likely to be diagnosed with bipolar<br />
disorder.<br />
O5.4 BETA-CATENIN PROMOTER CHIP-CHIP<br />
REVEALS POTENTIAL SCHIZOPHRENIA AND<br />
BIPOLAR DISORDER GENE NETWORK<br />
E. Pedrosa (1), A. Shah (1), C. Villa (1), C. Tenore (2), M.<br />
Capogna (3), H. Lachman* (1)<br />
1. AECOM 2. SUNY, Binghamton 3. Boston College<br />
*lachman@aecom.yu.edu<br />
Therapeutic concentrations <strong>of</strong> lithium salts inhibit GSK3β and<br />
phosphoinositide (PI) signaling suggesting that abnormal<br />
activation <strong>of</strong> these pathways could be a factor in bipolar<br />
disorder (BD) pathogenesis. Involvement <strong>of</strong> these pathways is<br />
also supported by recent genome wide association (GWA)<br />
studies. One way investigators have tried to understand the<br />
molecular basis <strong>of</strong> BD and the therapeutic action <strong>of</strong> lithium is<br />
by microarray expression studies, since the signal transduction<br />
pathways affected by the drug are coupled to transcriptional<br />
activation and inhibition. However, expression pr<strong>of</strong>iling has<br />
some limitations and investigators cannot use the approach to<br />
carry out analyses on fetal brain tissue, arguably the most<br />
relevant biological structure related to BD pathogenesis. In<br />
addition, the relative contribution <strong>of</strong> PI and GSK3β signaling<br />
in mediating the effects <strong>of</strong> lithium on gene expression cannot<br />
be assessed by simply analyzing lithium-treated cells. To<br />
address these shortcomings, we have taken a novel approach<br />
to help understand lithium’s effect on gene expression using<br />
chromatin immunoprecipiation-enriched material annealed to<br />
microarrays (ChIP-chip) targeting genes in fetal brain tissue<br />
bound by β-catenin, a transcription factor that is directly<br />
regulated by GSK3β. The promoters for several hundred genes<br />
were found to bind β-catenin, many <strong>of</strong> which are<br />
schizophrenia (SZ) and BD candidate genes, including four<br />
(PLXNA2, CACNA1B, NRNG and NOTCH4 CACNA1B)<br />
that were identified as candidates in recently published GWA<br />
studies. The findings suggest that seemingly disparate<br />
candidate genes for SZ and BD can be incorporated into a<br />
common molecular network revolving around SK3β/β-catenin<br />
signaling. In addition, the finding that a subgroup <strong>of</strong> SZ<br />
candidate genes may be influenced by a lithium-responsive<br />
pathway could have therapeutic implications.
O5.5 WHOLE-GENOME ANALYSIS REVEALS AN<br />
OVERLAPPING GENETIC BASISFOR BIPOLAR<br />
DISORDER, MAJOR DEPRESSION, AND<br />
SCHIZOPHRENIA<br />
T. Schulze* (1), N. Akula (1), R. Breuer (2), M. Nalls (3), M.<br />
Nöthen (4), S. Cichon (4), A. Singleton (3), M. Rietschel (2),<br />
Bipolar Genome Study (BiGS) Consortium (1), F. McMahon<br />
(1)<br />
1. NIMH 2. CIMH (Mannheim, Germany) 3. NIA 4. Life &<br />
Brain, University <strong>of</strong> Bonn (Germany)<br />
* schulzet@mail.nih.gov<br />
Family, linkage, and association studies have long suggested<br />
some shared genetic basis for major psychiatric disorders. We<br />
used genome-wide association study (GWAS) data from the<br />
Genetic Association Information Network (GAIN) bipolar<br />
disorder study (n=2064), the Wellcome Trust Case<br />
Control Consortium (WTCCC) bipolar disorder sample<br />
(n=4840), a German bipolar GWAS data set (n=2066), the<br />
GAIN major depression study (n=3573), and the GAIN<br />
schizophrenia data set (n=2729) in order to test for genetic<br />
relationships among these disorders. A Parkinson Disease<br />
GWAS (n=537) dataset was included as a negative control.<br />
We weighted each SNP by the association results in a<br />
specified discovery sample and then assigned a score to each<br />
individual on the basis <strong>of</strong> the weighted burden <strong>of</strong> risk alleles<br />
(WBRA) across all SNPs in a specified test sample. Using the<br />
WBRA derived from the GAIN bipolar sample, we could<br />
discriminate cases from controls in the WTCCC sample (p =<br />
2.5 x 10-10) with a predictive accuracy (as expressed by the<br />
area under the curve; AUC) <strong>of</strong> 0.55. The same WBRA<br />
discriminated cases from controls in the German bipolar<br />
(p=4.6 x 10-8; AUC=0.57) and the GAIN major depression<br />
sample (p=7.32 x 10-7; AUC=0.57). Conversely, the WBRA<br />
derived from the WTCCC bipolar sample predicted<br />
schizophrenia affection status with a similar accuracy (p=2.9 x<br />
10-9; AUC=0.56). In contrast, the WBRA derived from the<br />
GAIN bipolar sample, had no predictive value in the<br />
Parkinson Disease dataset (AUC= 0.50, p=ns). These results<br />
confirm formal genetic evidence that major psychiatric<br />
disorders share largely overlapping sets <strong>of</strong> risk alleles, which<br />
are distinct from those that predispose to a neurological<br />
disorder such as Parkinson Disease.<br />
O6 SCHIZOPHRENIA 1<br />
O6.1 DUPLICATION AND DELETION AT 15Q11.2 ARE<br />
ASSOCIATED WITH SCHIZOPHRENIA<br />
Q. Zhao (1), G. Feng (2), K. Huang (1), Z. Zhang (1), X. Zhao<br />
(3), T. Li (1), G. He (1), T. Wang (1), Z. Zeng (1), D. St Clair<br />
(4), L. He (1), Y. Shi (1)<br />
1. Bio-X Center and Bio-X Center Affiliated Changning<br />
Mental Health Center, Shanghai Jiao Tong<br />
University, Shanghai, PR China; 2. Shanghai Institute <strong>of</strong><br />
Mental Health, Shanghai, PR China; 3. Institutes <strong>of</strong><br />
Biomedical Sciences, Fudan University Shanghai, PR China;<br />
4. Department <strong>of</strong> Mental Health, University <strong>of</strong> Aberdeen;<br />
Schizophrenia is a severe mental disorder marked by<br />
hallucinations, delusions, cognitive deficits and apathy, with a<br />
heritability estimated at 73–90%. However genetic variants<br />
involved are proved difficult to understand. In recent years,<br />
SNP chips led to the quick identification <strong>of</strong> copy number<br />
variatons (CNVs). As a result, rare copy number variations<br />
have been found to be important risk factors <strong>of</strong> schizophrenia.<br />
One <strong>of</strong> the those promissing loci is the CNV at 15q11.2,<br />
including four genes, TUBGCP5, CYFIP1, NIPA2 and<br />
NIPA1. TUBGCP5 is specific expressed in the subthalamic<br />
nuclei while the latter three are widely expressed in the central<br />
nervous system. Deletion <strong>of</strong> the four genes was implicated in<br />
delayed motor and speech development, behavioural problems<br />
and lower intellectual ability in PWS/AS patients. A recent<br />
study showed that microdeletion at this loci was significant<br />
associated with schizophrenia. In the present work, we<br />
screened this CNV in 1568 unrelated paranoid schizophrenia<br />
patients and 1728 randomly-chosen normal controls in total<br />
by affymetrix 500K/6.0 SNP arrays or RT-PCR then validated<br />
by MLPA and Taqman assays in the Chinese Han population.<br />
We detected 8 deletions in cases and 1 in controls in total<br />
(OR=8.95, p=0.012). We found that the CNV at 15q11.2 were<br />
significantly associated with schizophrenia (p=8.51×10-5).<br />
Our data provided further evidence that deletion at 15q11.2 is<br />
a risk factor and suggested that duplication at this loci was<br />
also implicated in the pathogenesis <strong>of</strong> schizophrenia in<br />
Chinese Han population. Our findings also supported the<br />
incomplete penetrance <strong>of</strong> duplication and deletion at this loci.
O6.2 STRUCTURAL IMAGING REVEALS NOVEL<br />
GENETIC INFLUENCES IN SCHIZOPHRENIA<br />
J. Turner* (1), J. Segall (2), G. Guffanti (1), V. Calhoun (2),<br />
H. Bockholt (2), S. Potkin (1), F. Macciardi (1), F. BIRN (1)<br />
1. University <strong>of</strong> California, Irvine 2. MIND Research Network<br />
* turnerj@uci.edu<br />
Purpose. We combined grey matter volumetric measures with<br />
GWS data to identify genetic influences on grey matter loss<br />
which are different in schizophrenia than in age- and<br />
gender-matched healthy subjects. Methods. One hundred<br />
fifty-four subjects either with schizophrenia (SZ) or healthy<br />
volunteers (HV) were part <strong>of</strong> a larger study for the Functional<br />
Imaging Biomedical Informatics Research. They were scanned<br />
with an MP-RAGE or equivalent protocol, using a mixture <strong>of</strong><br />
1.5T and 3T scanners. Mean grey matter density measures<br />
over standard anatomical regions which were significantly<br />
different between groups were combined into a set <strong>of</strong> 14<br />
quantitative traits (QT). Blood samples were genotyped using<br />
the Illumina HumanHap300 BeadArray. Each QT and single<br />
nucleotide polymorphism was analyzed in a general linear<br />
model to identify significant interactions (p < 10-6) between<br />
genotype and diagnosis on the phenotype. Results. The<br />
anterior cingulate and frontal medial areas both identified<br />
interactions with ADAMTS18 (16q23.1); frontal medial areas<br />
also showed a significant interaction with the MPRIP gene<br />
(17p11.2). The frontal inferior and middle regions identified<br />
areas in strong linkage disequilibrium with PRKCB1 and<br />
CHP2 (16p12.1). The superior temporal gyrus identified the<br />
CDKAL1 gene (6p22.3). Conclusions. Imaging genetics<br />
analyses in schizophrenia have identified neurodevelopmental<br />
and stress-related genetic effects on a functional phenotype;<br />
using structural phenotypes identifies genes known to be<br />
involved in inflammatory disorders (ADAMTS18, CDKAL1),<br />
metabolic disorder (PRKCB1, CHP2), regulation <strong>of</strong> synaptic<br />
transmission (PRKCB1), and stress actin fibers (MPRIP).<br />
These provide a picture <strong>of</strong> multiple interacting genetic<br />
influences on regional grey matter loss found in the disorder.<br />
O6.3 CLINICAL AND COGNITIVE ASSOCIATIONS<br />
AND DATA MINING EVIDENCE OF EPISTASIS IN<br />
THE NIMH/GCAP SCHIZOPHRENIA GWA STUDY<br />
R. Straub* (1), Y. Iizuka (1), N. Feng (1), C. Li (1), B.<br />
Kolachana (1), K. Vakkalanka (1), M. Egan (2), D. Dickinson<br />
(1), D. Weinberger (1)<br />
1. GCAP, NIMH, NIH 2. Merck Pharmaceuticals<br />
* straubr@intra.nimh.nih.gov<br />
We genotyped part <strong>of</strong> our GCAP sample - 270 controls, 197<br />
schizophrenia trios (115 with an unaffected sibling), and 55<br />
additional schizophrenics - with ILLUMINA 550k/610k chips,<br />
and downloaded 3 Illumina iControl genotype datasets and<br />
GAIN Schizophrenia genotypes from dbGAP. We ran TDT<br />
and case-control tests <strong>of</strong> association to the clinical phenotype<br />
and QTDT and regression analyses <strong>of</strong> a range <strong>of</strong> quantitative<br />
phenotypes in patients and controls, including cognition, EEG,<br />
fMRI, and TPQ. Genome wide analyses <strong>of</strong> the effects <strong>of</strong> risk<br />
associated SNPs on expression and expression correlation<br />
patterns were performed using our own expression database<br />
and publicly available databases, and potential biochemical<br />
interactions between genes investigated by pathway analysis.<br />
Two statistical approaches were used to examine genetic<br />
interactions. First we ran genome wide SNP-SNP case-control<br />
epistasis analysis. The most significant GCAP result (PLINK<br />
Epistasis p=4.53e-10) was between NOS1 and LRP2, each <strong>of</strong><br />
which physically bind to the known susceptibility gene<br />
NOS1AP (CAPON). Numerous other interactions involving<br />
known susceptibility genes were also observed. Second, we<br />
used the data mining programs RANDOM FOREST and<br />
TREENET from Salford Systems (San Diego, CA) to identify<br />
SNPs potentially involved in higher order interactions<br />
influencing clinical risk. After imputation <strong>of</strong> a random subset<br />
(522 schiz., 600 controls) <strong>of</strong> the GAIN (“GRU” <strong>of</strong> the<br />
MGS-EA) sample, we mined 332,236 SNPs in parallel in the<br />
GCAP (252 schiz, 270 controls) and GAIN samples. In<br />
GCAP, a set <strong>of</strong> 4430 SNPs (median PLINK Genotypic<br />
case-control p=0.1028) within or closest to 2868 genes were<br />
strongly predictive <strong>of</strong> group (TREENET 10-fold cross<br />
validation test ROC 0.987, schiz. prediction error 0.06, control<br />
prediction error 0.07). In GAIN, a set <strong>of</strong> 4371 SNPs SNPs<br />
within or closest to 2865 genes were strongly predictive <strong>of</strong><br />
GAIN group (TREENET test ROC 0.956, schiz prediction<br />
error 0.11, control prediction error 0.12). By chance,<br />
prediction error and prediction success are each 0.50, and only<br />
a fraction <strong>of</strong> these SNPs are likely to be tagging schizophrenia<br />
susceptibility genes. Nevertheless, we found that at both the<br />
SNP and gene level there was overlap between the two<br />
independent samples: 60 SNPs were in common, 182 genes<br />
had multiple SNPs from both samples closest to them, and 139<br />
<strong>of</strong> these had SNPs within them, and within 100kb in both<br />
studies. The initial pathway analysis (INGENUITY<br />
SYSTEMS, Redwood CA) <strong>of</strong> 131 <strong>of</strong> these showed 22<br />
potentially involved in protein-protein (PP) interactions, in 7<br />
groups: [CACNA1D, RYR2, HOMER, PARK2, PACRG,<br />
GRIA1], [ATXN1, A2BP1, FAT4, EIF4ENIF1], [PDZD2,
CTNND2, MAGI2], [ERC2, PCLO], [MAGI1, RPS6KA2],<br />
[PLXNA2, SEMA3A], and [GABRG3, GABRG2, GABRB3].<br />
Addition <strong>of</strong> just 4 PP “bridges” (CACNA1C, GRID2, DLG4,<br />
and NOVA1) connect the first 4 groups, which then include<br />
additional genes (eg. CDH13, ODZ2, NRG3, DPP6, KCNH4)<br />
from the 131, totalling 26. In contrast, genes from the top 131<br />
genome wide TDT SNPs, and the top and bottom 131 case<br />
control SNPs contained only 5, 4 and 6 PP interactors<br />
respectively, and these were not merged by adding single<br />
bridges. Our integrated database <strong>of</strong> clinical, cognitive, and<br />
data mining results also contains genes from the literature,<br />
tracking about 400 specific genes/regions. We have confirmed<br />
many prior gene findings, and some <strong>of</strong> the more interesting<br />
functional pathways we are filling out are indicated by the<br />
following selections, many <strong>of</strong> which are novel with regard to<br />
SNP association to schizophrenia : ASTN2, AUTS2,<br />
CAMTA1, CDH8, CMYA5, CNTN4, CNTNAP2, CSMD1,<br />
CSMD3, CSNK1A1L, CTNNA2, CTNNA3, DMD, DOCK2,<br />
ESRRG, FHIT, FSHR, GUCY1A2, GUCY1A3,<br />
HLA-DRB1/DRB5, HS3ST1, HS3ST3A1, MAD1L1, NBAS,<br />
ODZ4, OFCC1, OSBPL3, PINK1, PKHD1, PSMD13,<br />
PTPRD, PTPRG, RTP4, S100A7/S100A6, SGCZ,<br />
SLC10A2, SLC24A3, SLIT3, ST8SIA3, TLE3, UNC5C.<br />
Ongoing work includes typing the remainder <strong>of</strong> our sample<br />
(503 schiz total, 600 controls) with the ILLUMINA 660W<br />
chip, epistasis analysis and data mining <strong>of</strong> additional<br />
independent samples, and detection <strong>of</strong> CNVs with the<br />
AGILENT 1x1M chip. A multilevel, integrative approach<br />
fundamentally acknowledging the genotypic and phenotypic<br />
heterogeneity and epistasis inherent in the condition, and<br />
building on prior findings is essential to properly evaluate and<br />
utilize GWA results, and we think that this has produced many<br />
new candidates, each supported by multiple pieces <strong>of</strong><br />
evidence.<br />
O6.4 ASSOCIATION OF THE DISOCIDIN DOMIAN<br />
RECEPTOR 1 WITH POSITIVE YMPTOMATOLOGY<br />
IN SCHIZOPHRENIC PATIENTS<br />
S. de la Portilla (1), J. Valero (1), M. Cortes (1), B. Roig (1),<br />
E. Vilella* (1)<br />
1. HPUIPM, IISPV, URV<br />
* elisabet.vilella@urv.cat<br />
We recently published a genetic association between the<br />
discoidin domain receptor 1 (DDR1) gene and schizophrenia<br />
(Roig et al. 2007). DDR1 is a tyrosine kinase receptor present<br />
in the myelin sheath <strong>of</strong> CNS axons (Franco-Pons et al, 2006).<br />
Moreover, we showed that the rs1049623 expression in<br />
lymphocytes is genotype dependent (Roig et al. 2007). In the<br />
present work we explore possible influence <strong>of</strong> SNP<br />
rs1049623 on clinical variables. A total <strong>of</strong> 125 patients with a<br />
DSMIV schizophrenia diagnosis were evaluated with the<br />
positive and negative syndrome scale (PANSS). Patients with<br />
DDR1 SNP rs1049623 GG genotype have higher scores in<br />
delusions (P=0.004), excitement (P=0.03), grandiosity<br />
(P=0.001) and positive subscale (P=0.041) and lower scores in<br />
emotional and social withdrawal (P=0.26 and 0.01<br />
respectively) and total negative subscale (P=0.044). In the<br />
psychopathological subscale GG genotype was also associated<br />
with lower scores in disorientation (P=0.002), and disturbance<br />
<strong>of</strong> volition (P=0.03) and higher scores in lack <strong>of</strong> judgment and<br />
insight (P=0.03). No statistical differences were obtained for<br />
the total items <strong>of</strong> the PANSS. These data demonstrates that<br />
patients with the GG genotype punctuated differently in the<br />
PANSS scale and therefore a possible causal relationship<br />
between DDR1 and schizophrenia may exist.
O6.5 ASSOCIATION OF 5HT2C RECEPTOR<br />
POLYMORPHISMS WITHPSYCHOPATHOLOGY<br />
AND TREATMENT RESPONSE IN SCHIZOPHRENIA<br />
H. Meltzer* (1), K. Jayathilake (1), H. Hashimoto (2)<br />
1. Vanderbilt University School <strong>of</strong> Medicine 2. Graduate<br />
School <strong>of</strong> Pharmaceutical Sciences, Osaka University<br />
* herbert.meltzer@vanderbilt.edu<br />
The serotonin (5-HT) 2C receptor has important tonic<br />
inhibitory effects on dopamine release in brain areas critical<br />
to schizophrenia, including the frontal cortex, nucleus<br />
accumbens and ventral tegmentum. We will report an<br />
association between the 5-HT2C receptor polymorphisms<br />
rs3813929 (-759C/T), rs518147 (-697G/C), both <strong>of</strong> which are<br />
promoter polymorphisms, and rs6318 (Cys23Ser), a disputed<br />
functional SNP, and baseline psychopathology and response to<br />
treatment in Caucasian and Afro-American patients with<br />
schizophrenia (or schizoaffective disorder). The Ser23 allele<br />
carriage was strongly associated with higher baseline scores <strong>of</strong><br />
the BPRS psychosis subscale (p = 0.007) and total (p<br />
= 0.01) scores. The SNP -759C/T was also significantly<br />
associated with the psychosis subscale (p = 0.04). The<br />
haplotype (-759C)–(-697C)–(23Ser) (p = 0.00091) and<br />
(-759C)–(23Ser) (P = 0.00055) were strongly associated with<br />
BPRS psychosis subscale. In addition, the Ser23 allele<br />
carriage was significantly associated with improvement in<br />
negative symptoms following 6 weeks and 6 month APD<br />
treatment. The relationship <strong>of</strong> these SNPs to cognitive<br />
dysfunction and its amelioration will also be reported.<br />
O6.6 COPY NUMBER VARIATIONS OF<br />
SCHIZOPHRENIA SUSCEPTIBILITY LOCI<br />
ARE ASSOCIATED WITH A SPECTRUM OF SPEECH<br />
AND DEVELOPMENTAL DELAYS AND BEHAVIOR<br />
PROBLEMS<br />
T. Sahoo* (1), J. Rosenfeld (1), L. Shaffer (1)<br />
1. Signature Genomic Laboratories<br />
* sahoo@signaturegenomics.com<br />
Although the etiology <strong>of</strong> schizophrenia is not well understood,<br />
a genetic predisposition is presumed to be a determinant <strong>of</strong><br />
susceptibility to the disease. Recently, microarray-based<br />
comparative genomic hybridization (aCGH) and other<br />
molecular techniques have identified novel copy number<br />
variants (CNVs) in individuals with schizophrenia. We<br />
undertook a “genotype-first” analysis <strong>of</strong> individuals with<br />
microdeletions and microduplications overlapping ~30<br />
putative schizophrenia susceptibility loci among individuals<br />
referred to our laboratory with developmental or growth delay,<br />
birth defects, and/or behavior problems. After excluding<br />
individuals with CNVs commonly associated with<br />
schizophrenia (e.g., microdeletion <strong>of</strong> 22q11.21) and those with<br />
CNVs encompassing but substantially larger than those<br />
reported in the literature, we identified CNVs involving 10<br />
susceptibility loci among 52 individuals. In 18 individuals the<br />
CNVs encompassed or disrupted developmental pathway<br />
genes. None <strong>of</strong> the individuals had schizophrenia as an<br />
indication for study. The phenotypes included developmental<br />
and speech delay and behavioral problems, including<br />
obsessive behavior in a few. Of the 21 cases where parental<br />
studies were possible, the CNV was inherited in 14 and de<br />
novo in 7. Additionally, a search for significant aCGH<br />
findings in individuals referred for testing for schizophrenia<br />
identified six with CNVs, including one with a<br />
microduplication <strong>of</strong> the 22q11.21 DiGeorge syndrome region<br />
and one with a microdeletion at 16p12.2, which has been<br />
identified in individuals referred for autistic features. Our<br />
results suggest CNVs across schizophrenia susceptibility loci<br />
are <strong>of</strong>ten associated with phenotypes that minimally overlap<br />
with schizophrenia, and additional factors are likely required<br />
to lead to the development <strong>of</strong> schizophrenia.
O7 MOOD DISORDERS 2<br />
O7.1 COPY NUMBER VARIATION AT 15Q11.2 ARE<br />
ASSOCIATED WITH BIPOLAR DISORDER AND<br />
MAJOR DEPRESSION IN CHINESE HAN<br />
POPULATION<br />
Y. Shi* (1), Q. Zhao (1), L. He (1)<br />
1. Bio-X Center, Shanghai Jiao Tong University<br />
* shiyongyong@gmail.com<br />
Bipolar disorder and major depressive disorder are related to a<br />
distinct change <strong>of</strong> mood. Bipolar disorder is a relatively<br />
common psychiatric disease which is characterized by mood<br />
symptoms <strong>of</strong> mania and depression with a heritability<br />
estimated at 62~80%. Major depressive disorder is<br />
characterized by sadness or irritability and accompanied by at<br />
least several psychophysiological changes. Early-onset,<br />
severe and recurrent depression may have a higher heritability<br />
than other forms <strong>of</strong> depression. Up till now, Rrare copy<br />
number variations emerged as important risk factors <strong>of</strong> several<br />
major psychiatric disorders, and some <strong>of</strong> them could be risk<br />
factors for different diseases. One <strong>of</strong> the most promissing loci<br />
is the CNV at 15q11.2. 15q11.2 spans, including four genes,<br />
namely TUBGCP5, CYFIP1, NIPA2 and NIPA1. Deletions in<br />
this loci locus was commonly found in Prader-Willi<br />
Syndrome/Agenleman Syndrome patients. And, Aa recent<br />
study showed that schizophrenia was associated with<br />
microdeletion at this loci. was significant associated with<br />
schizophrenia. In the present work, we screened this CNV in<br />
1448 unrelated bipolar disorder patients, 1317 unrelated major<br />
depressive disorder patients (no sign <strong>of</strong> bipolar disorder<br />
symptoms during two-year track after onset) and 1728 normal<br />
controls in total by affymetrix 500K/6.0 SNP arrays or<br />
RT-PCR then validated by MLPA or Taqman assays. We<br />
found that the CNV at 15q11.2 were significantly associated<br />
with bipolar disorder ( p=7.4×10-5 ) and major depressive<br />
disorder ( p=1.95×10-4 ). Our data suggested that this CNV,<br />
including both microdeletions and duplications at this locus, is<br />
awere shared risk factor <strong>of</strong> bipolar disorder and major<br />
depressive disorder in Chinese Han population. Our findings<br />
also supported the incomplete penetrance and phenotypic<br />
diversity <strong>of</strong> duplication and deletioncopy number variations at<br />
this locilocus.<br />
O7.2 GENETICS OF DIURNAL CORTISOL<br />
SECRETION: A GENOME WIDE ASSOCIATION<br />
STUDY.<br />
F. Velders* (1), M. Kumari (2), C. Kirschbaum (3), A.<br />
H<strong>of</strong>man (4), F. Verhulst (1), C. van Duijn (4), H. Tiemeier (1)<br />
1. Department <strong>of</strong> Child and Adolescent Psychiatry, Erasmus<br />
MC – Sophia Children’s Hospital, Rotterdam, The<br />
Netherlands 2. Department <strong>of</strong> Epidemiology and Public<br />
Health, London, United Kingdom 3. Department <strong>of</strong><br />
Psychology, Technical University <strong>of</strong> Dresden, Dresden,<br />
Germany 4. Department <strong>of</strong> Epidemiology, Erasmus MC<br />
University <strong>Medical</strong> Center, Rotterdam, The Netherlands<br />
* f.velders@erasmusmc.nl<br />
Introduction: Genes involved in the Hypothalamic Pituitary<br />
Adrenal (HPA) axis regulation are potential candidate genes<br />
for psychiatric disorders. Although several genes are known to<br />
be involved in the regulation <strong>of</strong> the HPA axis, the relationship<br />
<strong>of</strong> variations in these genes with diurnal cortisol secretion is<br />
not very robust. In search <strong>of</strong> new candidate genes for<br />
psychiatric disorders, we performed a Genome Wide<br />
Association Study (GWAS) <strong>of</strong> diurnal cortisol secretion.<br />
Methods: The GWAS study was performed in an ongoing<br />
population-based cohort <strong>of</strong> 1711 elderly persons, using the<br />
Illumina Platform 550k v.3.0. Cortisol secretion was measured<br />
in 4 saliva samples obtained on one day and was expressed as<br />
the area under the curve. To replicate our results, we repeated<br />
analyses <strong>of</strong> top hits in 3000 participants <strong>of</strong> the Whitehall II<br />
Study. Findings: Top hits were found on chromosome 15<br />
(rs8026512, beta -0.57, p-value 6*10e-06), chromosome 3<br />
(rs2252459, beta 0.53, p-value 8.8*10e-06) and in the FKBP5<br />
gene region on chromosome 6 (rs9470080, beta -0.55, p-value<br />
1*10e-05), a known candidate gene for depression. FKBP5<br />
SNPs were associated with anxiety in participants <strong>of</strong> the<br />
Rotterdam Study. We did not replicate any cortisol top hits in<br />
the Whitehall II Study. Interpretation: The present<br />
population-based study shows that the glucocorticoid receptor<br />
co-chaperone FKBP5 is related to diurnal cortisol secretion<br />
and anxiety in the elderly. This extends previous FKBP5<br />
studies on treatment response in depressed patients. However,<br />
our approach to utilize cortisol data to identify new candidate<br />
genes for psychiatric disorders was less successful.
O7.3 CRY2 IS A KEY TO DEPRESSION<br />
C. Lavebratt (1), L. Sjöholm* (1), P. Soronen (2), T. Paunio<br />
(2), M. Vawter (3), W. Bunney (4), R. Adolfsson (5), . Forsell<br />
(6), J. Wu (4), J. Kelsoe (7), T. Partonen (8), M. Schalling (1)<br />
1. Karolinska Institutet at Karolinska University Hospital<br />
Solna, Department <strong>of</strong> Molecular Medicine and Surgery,<br />
Stockholm, Sweden 2. National Institute for Health and<br />
Welfare; Department <strong>of</strong> Chronic Disease Prevention; Public<br />
Health Genomics Unit, Helsinki, Finland 3. University <strong>of</strong><br />
California Irvine School <strong>of</strong> Medicine, Functional Genomics<br />
Laboratory, Irvine, California, USA 4. University <strong>of</strong><br />
California Irvine School <strong>of</strong> Medicine Department <strong>of</strong><br />
Psychiatry & Human Behavior, Irvine, California, USA<br />
5. Division <strong>of</strong> Psychiatry, Department <strong>of</strong> Clinical Sciences,<br />
University <strong>of</strong> Umeå, Umeå, Sweden 6. Department <strong>of</strong> Public<br />
Health Science, Karolinska Institutet at Karolinska University<br />
Hospital Solna, Stockholm, Sweden 7. University <strong>of</strong><br />
California San Diego School <strong>of</strong> Medicine, Department <strong>of</strong><br />
Psychiatry, La Jolla, California, USA 8. National Institute for<br />
Health and Welfare; Department <strong>of</strong> Mental Health and<br />
Substance Abuse Services; Mood, Depression and Suicidal<br />
Behaviour Unit, Helsinki, Finland<br />
* louise.sjoholm@ki.se<br />
Abnormalities in the circadian clockwork characterize major<br />
depressive and bipolar disorders. Circadian clock genes are<br />
targets <strong>of</strong> interest in these patients. CRY2 is a circadian gene<br />
that participates in regulation <strong>of</strong> the evening oscillator. This is<br />
<strong>of</strong> interest in depressive disorders where a lack <strong>of</strong> switch from<br />
evening to morning oscillators has been postulated. We<br />
observed a marked diurnal variation in human CRY2 mRNA<br />
levels from peripheral blood mononuclear cells and a<br />
significant upregulation following one-night total sleep<br />
deprivation. In depressed bipolar patients, levels <strong>of</strong> CRY2<br />
mRNA were decreased and a complete lack <strong>of</strong> increase was<br />
observed following sleep deprivation, a known antidepressant.<br />
To investigate a possible genetic contribution we undertook<br />
SNP genotyping <strong>of</strong> the CRY2 gene in two independent<br />
population-based samples from Sweden and Finland. The<br />
CRY2 gene was significantly associated with winter<br />
depression in both samples. A difference in risk haplotype<br />
identity between the two samples narrowed the suggestive<br />
region <strong>of</strong> the vulnerability locus. Taken together we propose<br />
that CRY2 harbors a vulnerability locus for depression, and<br />
that mechanisms <strong>of</strong> action involve dysregulation <strong>of</strong> CRY2<br />
expression.<br />
O7.4 GENOME-WIDE ASSOCIATION STUDY OF<br />
UNIPOLAR DEPRESSION IN THE UK POPULATION<br />
C. Lewis* (1), M. Ng (1), A. Butler (1), S. Cohen-Woods (1),<br />
K. Pirlo (1), R. Uher (1), K. Aitchison (1), S. Heath (2), M.<br />
Lathrop (2), N. Craddock (3), M. Owen (3), A. Korszun (4), L.<br />
Jones (5), I. Jones (3), M. Barnes (6), P. Muglia (6), G. Breen<br />
(1), I. Craig (1), A. Farmer (1), P. McGuffin (1)<br />
1. MRC SGDP Centre, Institute <strong>of</strong> Psychiatry, King’s College<br />
London, De Crespigny Park, London, SE5 8AF, U.K.<br />
2. Centre National de Génotypage, 91057 Evry, France<br />
3. Department <strong>of</strong> Psychological Medicine, Cardiff University,<br />
School <strong>of</strong> Medicine, Heath Park, Cardiff, CF14 4XN, U.K.<br />
4. Centre for Psychiatry, Wolfson Institute <strong>of</strong> Preventive<br />
Medicine, Barts and The London, Charterhouse Square,<br />
London, EC1M 6BQ, U.K. 5. Division <strong>of</strong> Neuroscience,<br />
Department <strong>of</strong> Psychiatry, University <strong>of</strong> Birmingham, The<br />
Barberry, 25 Vincent Drive, Edgbaston, Birmingham, B15<br />
2FG, U.K. 6. GlaxoSmithKline, R&D<br />
* cathryn.lewis@kcl.ac.uk<br />
Unipolar depression has substantial heritability with a<br />
postulated genetic contribution, but genome-wide association<br />
studies (GWAS) and candidate gene studies published to date<br />
have failed to convincingly identify susceptibility genes. We<br />
performed a GWAS using 1636 cases <strong>of</strong> depression<br />
ascertained in the UK, and 1594 controls, screened negative<br />
for psychiatric disorders. Cases were collected as part <strong>of</strong> an<br />
affected sibling pair linkage study for recurrent depression<br />
(DeNt; N=332), a case-control study for recurrent depression<br />
(DeCC; N= 1346) and a pharmacogenetic study (GENDEP;<br />
N=88). Cases and controls were genotyped on the<br />
Illumina Human610-Quad BeadChip. After applying stringent<br />
QC criteria for missing genotypes, departure from<br />
Hardy-Weinberg equilibrium, and low minor allele frequency,<br />
we tested for association to depression using logistic<br />
regression, correcting for population ancestry. Two SNPs<br />
(separated by 7 kb) attained p-values <strong>of</strong> < 5 x 10^-7, and two<br />
further SNPs (in different regions) had p-values <strong>of</strong> < 5 x<br />
10^-6. In the region with the most strongly associated SNPs,<br />
evidence <strong>of</strong> association strengthened to genome-wide<br />
significance when genotypes at HapMap markers were<br />
imputed using MACH (p = 6x10^-9, taking into account<br />
imputation uncertainty). At the most significant genotyped<br />
SNP, the minor allele conferred a protective effect (OR 0.72;<br />
case frequency 0.185, control frequency 0.235). This GWAS<br />
<strong>of</strong> recurrent depression cases and screened controls has<br />
identified strong evidence for a previously unknown gene and<br />
several suggestive associations for further exploration in other<br />
samples.
O7.5 GWAS ASSOCIATION STUDY OF CIRCADIAN<br />
GENES SUPPORTS ARNTL AS A<br />
MORNINGNESS-EVENINGNESS LOCUS<br />
C. Nievergelt (1), R. McKinney (1), J. Kelsoe (1), D. Kripke<br />
(1), Bipolar Genome Study (BiGS)<br />
1. Department <strong>of</strong> Psychiatyr, University <strong>of</strong> California, San<br />
Diego<br />
Objective: Prior studies have reported associations <strong>of</strong> various<br />
circadian clock genes with psychiatric and sleep disorder<br />
phenotypes. We conducted a comprehensive search <strong>of</strong><br />
genomic loci influencing circadian morningness-eveningness<br />
preference, using a large European American GWAS sample<br />
<strong>of</strong> bipolar disorder cases assembled by the Bipolar Disorder<br />
Genetics (BiGs) Consortium. Methods: Circadian<br />
morningness-eveningness preference as determined by the<br />
13-item Basic Language Morningness scale (BALM) were<br />
available for a subset <strong>of</strong> 948 participants previously genotyped<br />
on the Affymetrix 6.0 SNP array. Primary analysis focused on<br />
333 SNPs in 32 candidate circadian-rhythm-related genes.<br />
Results: A significant association was found between the<br />
BALM and rs1026070 at 11p15 in ARNTL (p < 0.016,<br />
Bonferroni corrected for 333 comparisons), which was<br />
supported by two other SNPs in this gene being nominally<br />
associated with this trait. Subjects homozygous for the rare<br />
CC genotype had a mean (±SD) morningness score <strong>of</strong> 28<br />
(11.31) compared to 29.79 (9.72) for CG and 33.11 (9.33) for<br />
the GG genotypes. A genome-wide analysis including over<br />
700K SNPs found the strongest statistical evidence for BALM<br />
association with rs1000078 in CDH13 (p = 7.09 x 10-6) at<br />
16q23 and rs8089008 in an intergenic region at 18q22 (p =<br />
1.34 x 10-5). The best circadian marker, rs1026070 in<br />
ARNTL, ranked 21st among the 700K SNP markers, though<br />
none were significant at the genome-wide level. Discussion:<br />
Several lines <strong>of</strong> evidence have repeatedly associated ARNTL<br />
with psychiatric and sleep disorder phenotypes and suggest<br />
that ARNTL polymorphisms influence behavioral circadian<br />
preference.<br />
O7.6 GENOME-WIDE ASSOCIATION STUDY OF<br />
TEMPERAMENT AS AN INTERMEDIATE<br />
PHENOTYPE FOR BIPOLAR DISORDER<br />
T. Greenwood* (1), H. Akiskal (1), Bipolar Genome Study<br />
(BiGS), J. Kelsoe (1)<br />
1. Department <strong>of</strong> Psychiatry, University <strong>of</strong> San Diego and the<br />
San Diego VA Healthcare System, San Diego, CA<br />
* tgreenwood@ucsd.edu<br />
Despite the many attempts that have been made to identify<br />
genes for bipolar disorder (BD) there has been limited success,<br />
which has generally been attributed to genetic heterogeneity<br />
And small gene effects. However, it is also possible that the<br />
categorical phenotypes currently used in genetic studies <strong>of</strong> BD<br />
are not the most informative, efficient, or biologically<br />
relevant. Although quantitative phenotypes provide an<br />
alternative to categorical phenotypes based on DSM diagnosis,<br />
they have not been fully exploited in BD genetics, largely due<br />
to a lack <strong>of</strong> easily accessible biological measures. As a<br />
quantitative phenotype for BD we have explored the use <strong>of</strong><br />
temperament, a heritable personality factor that establishes a<br />
person’s baseline level <strong>of</strong> reactivity, mood, and energy. We<br />
hypothesize that the fundamental trait that is inherited is not<br />
BD but rather variations in temperament with more extreme<br />
temperamental variation conferring greater susceptibility to<br />
developing BD. To investigate this theory, we have performed<br />
a genome-wide association study using genotype data from the<br />
NIMH Bipolar Genome Study (BiGS) and 1191 bipolar<br />
subjects that completed the Akiskal Temperment Scale<br />
(TEMPS-A), which is designed to access lifelong, milder<br />
aspects <strong>of</strong> bipolar symptomatology. Five temperaments are<br />
defined by this scale: hyperthymic, dysthymic, cyclothymic,<br />
irritable, and anxious. Of these, the hyperthymic and<br />
dysthymic temperaments produced the most interesting<br />
genome-wide results with peak pvalues <strong>of</strong> 6.2X10-8 on<br />
chromosome 12 and 2.4X10-7 on chromosome 4,<br />
respectively. These results suggest that aspects <strong>of</strong><br />
temperament may have utility as intermediate phenotypes for<br />
BD.
O8 SCHIZOPHRENIA 2<br />
O8.1 MATERNAL HSV2 INFECTION INTERACTS<br />
WITH NMDA GENE POLYMORPHISMS IN THE<br />
OFFSPRING INFLUENCING THE RISK OF<br />
SCHIZOPHRENIA<br />
D. Demontis* (1), H. Buttenschön (2), M. Nyegaard (1), A.<br />
Hedemand (1), C. Pedersen (3), T. Flint (2), K. Sørensen (4),<br />
M. Nordent<strong>of</strong>t (5), B. Nørgaard-Pedersen (4), T. Werge (6), P.<br />
Andersen (4), D. Hougaard (4), P. Mortensen (3), O. Mors (2),<br />
A. Børglum (1)<br />
1. Institute <strong>of</strong> Human Genetics, Aarhus University, Aarhus,<br />
Denmark 2. Centre for Psychiatric Research, Aarhus<br />
University Hospital, Risskov, Aarhus, Denmark 3. National<br />
Centre for Register-based Research, University <strong>of</strong> Aarhus,<br />
Aarhus, Denmark 4. Department <strong>of</strong> Clinical Biochemistry,<br />
State Serum Institute, Copenhagen, Denmark 5. Psychiatric<br />
Centre Bispebjerg, Copenhagen NV, Denmark 6. Research<br />
Institute <strong>of</strong> Biological Psychiatry, Sct. Hans Hospital,<br />
Roskilde, Denmark<br />
* ditte@humgen.au.dk<br />
Schizophrenia (SZ) is a complex disorder, caused by genetic<br />
and environmental factors. The genes (GRIN1, GRIN2A,<br />
GRIN2B, GRIN2C and GRIN2D) encoding the<br />
N-methyl-D-aspartate receptor (NMDAR) have been found to<br />
associate with SZ in some studies. Glutamate receptors are<br />
expressed early in human brain development, and<br />
environmental factors such as maternal infection could impact<br />
on NMDA function in the fetus. We used 85 tag-SNPs in the<br />
five genes to test for association with SZ, in three Danish<br />
samples in total consisting <strong>of</strong> 986 individuals with SZ and<br />
1501 control persons. We investigated if maternal herpes<br />
simplex type 2 (HSV2) infection increases <strong>of</strong>fspring risk <strong>of</strong> SZ<br />
later in life depending on GRIN-gene variation, by testing for<br />
tag-SNPs interaction in the <strong>of</strong>fspring with maternal HSV2<br />
antibody level during pregnancy.<br />
Significant allelic association with SZ was found for 11 SNPs<br />
out <strong>of</strong> 32 SNPs in GRIN2B. One SNP remained significant<br />
after Bonferroni correction (rs1806194, p=0.00094). When<br />
testing for interaction between genetic variation and maternal<br />
HSV2 infection eight GRIN2B and two GRIN2A SNPs<br />
showed significant interaction. Three SNPs in GRIN2B<br />
remained significant after Bonferroni correction<br />
(rs1805539, rs1806201, rs1806205, p=0.00142-0.00024).<br />
Our results suggest that GRIN2B may be a risk gene for SZ<br />
and that maternal HSV2 infection interacts with GRIN2B in<br />
the <strong>of</strong>fspring, affecting the risk <strong>of</strong> SZ. The NR2B subunit,<br />
encoded by the GRIN2B gene is mainly present in immature<br />
neurons in the early postnatal brain. It is possible that early<br />
life distortion <strong>of</strong> NMDAR function caused by dysregulation <strong>of</strong><br />
GRIN2B due to maternal HSV2 infection could be important<br />
for the preposition to SZ.<br />
O8.2 EXON-BASED RE-SEQUENCING ANALYSIS OF<br />
THE SCHIZOPHRENIA SUSCEPTIBILITY GENE<br />
NRXN1<br />
T. Mühleisen* (1), A. Forstner (1), F. Basmanav (1), V.<br />
Nieratschker (2), R. Breuer (2), S. Moebus (3), M. Rietschel<br />
(2), M. Nöthen (1), S. Cichon (1)<br />
1. Institute <strong>of</strong> Human Genetics, Department <strong>of</strong> Genomics, Life<br />
& Brain Center, University <strong>of</strong> Bonn, Bonn, Germany<br />
2. Department <strong>of</strong> Genetic Epidemiology, Central Institute <strong>of</strong><br />
Mental Health, Mannheim, Germany 3. Institute for <strong>Medical</strong><br />
Informatics, Biometry and Epidemiology, University Hospital<br />
<strong>of</strong> Essen, University Duisburg-Essen, Essen, Germany<br />
* thomas.muehleisen@uni-bonn.de<br />
Exon-disrupting copy number variants (CNVs) in the neurexin<br />
1(NRXN1; 2p16.3) gene were recently found to be<br />
significantly over-represented in schizophrenia patients<br />
(Rujescu, Ingason et al. 2009), supporting previous findings <strong>of</strong><br />
two microdeletions in schizophrenia patients involving this<br />
gene (Kirov et al. 2008; Walsh et al. 2008). Deletions and<br />
duplications <strong>of</strong> variable sizes accumulated in the promoter<br />
region and the first exons. The gene product NRXN1 is a<br />
presynaptic scaffolding molecule which plays an important<br />
role in neurotransmission by interacting with neurexophilins<br />
and neuroligins. In the present study, we performed<br />
re-sequencing at the NRXN1locus to identify rare genetic<br />
variations - single base exchanges (SBEs) or small<br />
deletions/duplications - which might confer susceptibility to<br />
schizophrenia and are likely to be missed using common<br />
single nucleotide polymorphisms in genome-wide association<br />
studies. We investigated 96 patients (51% males, parents<br />
available) with a DSM-IV diagnosis <strong>of</strong> schizophrenia and 96<br />
sex-matched controls, all <strong>of</strong> German descent. Using the<br />
Sanger method, we re-sequenced all coding sequences and<br />
splice sites <strong>of</strong> the NRXN1is<strong>of</strong>orms alpha1, alpha2 and beta,<br />
totaling ~10kb per individual. We have finished re-sequencing<br />
in ~50% <strong>of</strong> the sample and observe an over-representation <strong>of</strong><br />
rare SBEs in patients (n=4) versus controls (n=1). We are<br />
currently analyzing the second half <strong>of</strong> the sample. All<br />
identified rare variants are being investigated by<br />
bioinformatical tools and databases. They will be tested for<br />
inheritance from their parents, too, and followed-up in<br />
extended samples <strong>of</strong> schizophrenia patients and controls.
O8.3 GENOME-WIDE ASSOCIATION STUDY OF<br />
REGIONAL BRAIN VOLUME IN 600 INDIVIDUALS<br />
SUGGESTS INVOLVEMENT OF KNOWN<br />
PSYCHIATRY CANDIDATE GENES, IDENTIFIES<br />
NEW CANDIDATES FOR PSYCHIATRIC DISORDERS<br />
AND POINTS TO POTENTIAL MODES OF THEIR<br />
ACTION<br />
B. Franke* (1), M. Rijpkema (2), A. Arias Vasquez (1), J.<br />
Veltman (3), H. Brunner (3), P. Hagoort (4), G. Fernandez (4)<br />
1. Department <strong>of</strong> Human Genetics and Department <strong>of</strong><br />
Psychiatry, Donders Institute for Brain, Cognition and<br />
Behavior, Radboud University Nijmegen <strong>Medical</strong> Centre,<br />
Nijmegen, The Netherlands 2. Donders Centre for Cognitive<br />
Neuroimaging, Donders Institute for Brain, Cognition and<br />
Behavior, Radboud University Nijmegen, Nijmegen, The<br />
Netherlands 3. Department <strong>of</strong> Human Genetics, Radboud<br />
University Nijmegen <strong>Medical</strong> Centre, Nijmegen, The<br />
Netherlands 4. Donders Centre for Cognitive Neuroimaging,<br />
Donders Institute for Brain, Cognition and Behavior, Radboud<br />
University Nijmegen, Nijmegen, The Netherlands<br />
*b.franke@antrg.umcn.nl<br />
Though most psychiatric disorders are highly heritable, it has<br />
been hard to identify genetic risk factors involved, which are<br />
most likely <strong>of</strong> small individual effect size. A possible way to<br />
aid identification <strong>of</strong> risk genes is the use <strong>of</strong> intermediate<br />
phenotypes. These are supposed to be closer to the biological<br />
substrate(s) <strong>of</strong> the disorder than psychiatric diagnoses, and<br />
therefore less genetically complex. Intermediate phenotypes<br />
can be defined e.g. at the level <strong>of</strong> brain function and <strong>of</strong><br />
regional brain structure. Both are highly heritable, and<br />
regional brain structure is linked to brain function. Within the<br />
Brain Imaging Genetics (BIG) study at the Radboud<br />
University Nijmegen (<strong>Medical</strong> Centre) we performed a<br />
genome-wide association study (GWAS) in 600 <strong>of</strong> the<br />
currently 1100 healthy study participants. For all BIG<br />
participants, structural MRI brain images were available. Gray<br />
and white matter volumes were determined by brain<br />
segmentation using SPM s<strong>of</strong>tware. FSL-FIRST was used to<br />
assess volumes <strong>of</strong> specific brain structures. Genotyping was<br />
performed on Affymetrix 6.0 arrays. Results implicate known<br />
candidates from earlier GWAS and candidate gene studies in<br />
mental disorders in the regulation <strong>of</strong> regional brain structure.<br />
E.g. polymorphisms in CDH13, featuring among the<br />
top-findings <strong>of</strong> GWAS in disorders including ADHD,<br />
addiction and schizophrenia, were found associated with<br />
amygdala volume. The ADHD candidate gene SNAP25 was<br />
found associated with caudate nucleus volume.<br />
In conclusion, the use <strong>of</strong> intermediate phenotypes based on<br />
(subcortical) brain volumes may shed more light on pathways<br />
from gene to disease, but can also be expected to facilitate<br />
gene identification in psychiatric disorders.<br />
O8.4 ASSOCIATION OF A FUNCTIONAL<br />
HAPLOTYPE OF THE POST-SYNAPTIC DENSITY 95<br />
(PSD-95) GENE WITH SCHIZOPHRENIA<br />
M. Cheng (1), D. Liao (2), J. Chen (3), Y. Wang (3), I. Lai (3),<br />
Y. Liou (3), C. Chen (2)<br />
1. Institute <strong>of</strong> <strong>Medical</strong> Sciences, Tzu-Chi University, Hualien,<br />
Taiwan 2. Division <strong>of</strong> Mental Health and Addiction<br />
Medicine, Institute <strong>of</strong> Population Health Sciences,<br />
National Health Research Institutes, Zhunan, Taiwan<br />
3. Department <strong>of</strong> Psychiatry, Yuli Veterans Hospital, Hualien,<br />
Taiwan<br />
There is compelling evidence supporting the association <strong>of</strong><br />
hyp<strong>of</strong>unction <strong>of</strong> the N-methyl-D-aspartate (NMDA)<br />
receptor with the pathophysiology <strong>of</strong> schizophrenia.<br />
Post-synaptic density protein 95 (PSD-95) binds to NMDA<br />
receptors and plays an essential role in regulating the activity<br />
<strong>of</strong> the NMDA receptor. Altered expression <strong>of</strong> PSD-95 in<br />
various brain regions in patients with schizophrenia has been<br />
reported in several postmortem studies. This study aimed to<br />
investigate whether there are variants <strong>of</strong> the PSD-95 gene that<br />
may confer an increased risk <strong>of</strong> schizophrenia. We<br />
re-sequenced the promoter region, all the exons (including 5’<br />
and 3’ UTR) and their flanking intronic sequences <strong>of</strong> the<br />
PSD-95 gene in a sample <strong>of</strong> Han Taiwanese schizophrenic<br />
patients (n=434) and control subjects (n=438), and conducted<br />
an association study. We also characterized the function <strong>of</strong><br />
several genetic polymorphisms <strong>of</strong> PSD-95 using a reporter<br />
gene assay. We did not detect any mutations at the<br />
protein-coding regions associated with schizophrenia <strong>of</strong> the<br />
PSD-95 gene in this sample. Nevertheless, we identified a<br />
specific haplotype at the promoter region <strong>of</strong> the PSD-95 gene<br />
that was nominally associated with schizophrenia<br />
(odd ratio: 1.24, 95% confidence interval: 1.01-1.52). The<br />
reporter gene assay showed that this haplotype had<br />
significantly greater activity than the other haplotypes. Our<br />
study provides genetic evidence to indicate that the PSD-95<br />
gene is associated with schizophrenia, and the increased gene<br />
expression <strong>of</strong> PSD-95 may be involved in the pathophysiology<br />
<strong>of</strong> schizophrenia.
O8.5 GENOME-WIDE ASSOCIATION STUDY (GWAS)<br />
OF SCHIZOPHRENIA IN A LARGE GENETICALLY<br />
HOMOGENEOUS IRISH POPULATION<br />
The Schizophrenia Genomics Ireland Consortium*, The<br />
Wellcome Trust Case Control Consortium<br />
* acorvin@tcd.ie<br />
Schizophrenia (SZ; OMIM 181500) is a complex genetic<br />
disorder <strong>of</strong> substantial heritability. Three recent genome-wide<br />
association studies (GWAS) provide support for several<br />
common susceptibility loci, including the HLA-region (The<br />
International Schizophrenia Consortium (ISC), 2009; Shi et<br />
al, 2009; Stefansson et al, 2009). Additionally, the ISC study<br />
reported evidence that ~30% <strong>of</strong> susceptibility can be explained<br />
by common risk variants, many <strong>of</strong> which are likely to be <strong>of</strong><br />
small effect. Combining datasets may increase power to<br />
discover small effects, but may be compromised by individual<br />
differences in study design, ascertainment, phenotyping,<br />
population stratification or genotyping platforms.<br />
We report a large SZ GWAS performed as part <strong>of</strong> WTCCC2<br />
<strong>of</strong> 2,357 cases and 2,000 controls from the ethnically<br />
homogeneous Irish population. The study also accesses 6,000<br />
additional controls from the UK. All cases were collected<br />
using similar study design and ascertainment procedures<br />
including a structured clinical interview (SCID) and consensus<br />
diagnosis procedure. This dataset has ≥80% power to detect<br />
allelic odds ratios (ORs) 1.2-1.3 with minor allele frequency<br />
(MAF) 0.2-0.3. Combining data with existing GWAS studies<br />
may also allow sequential discovery <strong>of</strong> additional risk<br />
variants. GWAS data was analysed using the Affymetrix 6.0<br />
array. For all samples passing Affymetrix’s laboratory QC,<br />
raw intensities (from the .CEL files) were renormalized within<br />
collections using CelQuantileNorm (see<br />
http://outmodedbonsai.sourceforge.net/). These normalized<br />
intensities were used to call genotypes with an updated version<br />
<strong>of</strong> the Chiamo s<strong>of</strong>tware (see<br />
www.stats.ox.ac.uk/~marchini/s<strong>of</strong>tware/gwas/chiamo.html),<br />
adapted for Affymetrix 6.0 SNP data. Primary analysis <strong>of</strong> the<br />
GWAS data will be presented with p-values from 1-df<br />
Cochran-Armitage tests for trend. REFERENCES 1. The<br />
International Schizophrenia Consortium. Common polygenic<br />
variation contributes to risk <strong>of</strong> schizophrenia and bipolar<br />
disorder. Nature. 2009 Jul 1. PMID: 19571811. 2: Shi J, et al.<br />
Common variants on chromosome 6p22.1 are associated with<br />
schizophrenia. Nature. 2009 Jul 1. PMID: 19571809. 3.<br />
Stefansson H, et al. Common variants conferring risk <strong>of</strong><br />
schizophrenia. Nature. 2009 Jul 1. PMID:19571808.<br />
O8.6 ZNF804A: SCHIZOPHRENIA RISK ALLELE<br />
ASSOCIATED WITH NEUROANATOMIC,<br />
COGNITIVE, AND CLINICAL PHENOTYPES<br />
T. Lencz* (1), P. Szeszko (1), P. DeRosse (1), K. Burdick (1),<br />
A. Malhotra (1)<br />
1. The Zucker Hillside Hospital<br />
* lencz@lij.edu<br />
A recent genomewide association study identified a novel<br />
SNP in ZNF804A (rs1344706) as a risk factor for<br />
schizophrenia (O’Donovan et al. 2008; Nat Gen, 40:1053-5).<br />
In a functional MRI study, this SNP was associated with<br />
abnormal patterns <strong>of</strong> neural connectivity (Esslinger et al.<br />
2009; Science, 324:605). To further functionally characterize<br />
this SNP, we tested rs1344706 for association with phenotypes<br />
that include brain structure, neurocognitive performance, and<br />
clinical symptomatology. We first assessed the relationship <strong>of</strong><br />
rs1344706 to risk for illness in our sample <strong>of</strong> Caucasian<br />
patients with schizophrenia/schizoaffective disorder (n=277)<br />
and Caucasian controls (n=247). Allele frequencies matched<br />
those in the original sample <strong>of</strong> O’Donovan et al. (2008) and<br />
confirmed an association with illness; T allele frequency was<br />
66% in cases vs 59% in controls (?2=4.3, p
O9 EARLY CAREER INVESTIGATOR<br />
TRACK: CANDIDATE GENES,<br />
EPIGENETICS, AND PHENOMICS<br />
O9.1 THE VAL 158 MET POLYMORPHISM IN THE<br />
COMT GENE IS ASSOCIATED WITH DEPRESSION<br />
AND MOTIVATION<br />
E. Åberg* (1), L. Sjöholm (1), Y. Forsell (2), C. Lavebratt (1)<br />
1. Department <strong>of</strong> Molecular Medicine and Surgery, CMM,<br />
Karolinska Institutet at Karolinska University Hospital Solna,<br />
Stockholm, Sweden 2. Department <strong>of</strong> Public Health Science,<br />
Karolinska Institutet at Karolinska University Hospital<br />
Solna, Stockholm, Sweden<br />
* elin.aberg@ki.se<br />
Environmental risk factors together with genetic vulnerability<br />
create a complex background to develop depression. In this<br />
study we investigate the association between the Val158Met<br />
polymorphism in the COMT gene and depression by using a<br />
Swedish population-based longitudinal study (PART). We<br />
also investigate if the polymorphism could be involved in the<br />
low motivational level found in depressed individuals. The<br />
PART study includes data from childhood to adulthood and<br />
contains scales on psychological well being. We found that<br />
depressed people displayed a lower frequency <strong>of</strong> the val/val<br />
genotype than controls (OR=1.50, 95% CI=1.11-2.02,<br />
P=0.0096). In analysis <strong>of</strong> men and women separately, the<br />
association was found among men only (OR=2.26, 95% CI=<br />
1.26-4.05, p=0.0086). Regression analysis including potential<br />
risk factors for depression further indicated that the genotypes<br />
met/met or met/val was associated with depression (P=0.01).<br />
Since COMT is involved in dopamine metabolism and is<br />
expressed in brain areas important for the brain reward<br />
system, we thought that variations in this gene could be<br />
involved in motivational disturbances. Individuals with the<br />
met/met or met/val genotype had more negative motivation<br />
symptoms (MDI scale) than individuals homozygous for the<br />
val-allel (P=0.01). Further, regression analyses including risk<br />
factors for depression showed that individuals with the<br />
genotype met/met or met/val had more negative motivation<br />
symptoms than individuals with the val/val combination<br />
(P=0.007). In conclusion, the COMT-polymorphism<br />
Val158Met has so far primarily been associated with<br />
schizophrenia, working memory and anxiety related<br />
behaviour. We can in this study present that variations in the<br />
COMT-gene is associated with depression and motivation.<br />
O9.2 RE-SEQUENCING ANALYSIS OF THE<br />
SCHIZOPHRENIA-ASSOCIATED MICRODELETION<br />
REGION ON 1Q21.1<br />
F. Basmanav* (1), A. Forstner (1), J. Freudenberg (2), L.<br />
Priebe (1), M. Alexander (1), V. Nieratschker (3), R. Breuer<br />
(3), S. Moebus (4), M. Rietschel (3), M. Nöthen (1), T.<br />
Mühleisen (1), S. Cichon (1)<br />
1. Institute <strong>of</strong> Human Genetics, Department <strong>of</strong> Genomics, Life<br />
& Brain Center, University <strong>of</strong> Bonn, Bonn, Germany 2. Center<br />
<strong>of</strong> Genomics and Human Genetics, Feinstein Research<br />
Institute, New York, USA 3. Department <strong>of</strong> Genetic<br />
Epidemiology, Central Institute <strong>of</strong> Mental Health, Mannheim,<br />
Germany 4. Institute for <strong>Medical</strong> Informatics, Biometry and<br />
Epidemiology, University Hospital <strong>of</strong> Essen, University<br />
Duisburg-Essen, Essen, Germany<br />
* basmanav@uni-bonn.de<br />
We and others have recently identified rare microdeletions on<br />
chromosome 1q21.1 as the strongest genetic risk factor for<br />
schizophrenia known to date (odds ratio ~15). In the present<br />
study, we aimed to explore to what extent common and rare<br />
susceptibility variants in the region spanned by the<br />
microdeletion might contribute to the disease allele spectrum.<br />
Analysis <strong>of</strong> common SNPs was done using Illumina HH550<br />
data and did not provide evidence for association with<br />
schizophrenia. To identify potential rare coding variants, we<br />
applied an exon-based re-sequencing approach covering seven<br />
RefSeq genes and three predicted genes. Approximately 25 kb<br />
<strong>of</strong> sequence information per individual were generated from<br />
96 DSMIV-diagnosed schizophrenia patients (derived from<br />
parent-<strong>of</strong>fspring trios) and 96 sex-matched controls.<br />
Re-sequencing has been completed for 50% <strong>of</strong> the sample and<br />
provides some evidence for an over-representation <strong>of</strong><br />
previously unknown exonic single base exchanges in patients<br />
(n=5 in 48 patients and n=1 in 48 controls). Two <strong>of</strong> the rare<br />
variants detected in patients represent non-synonymous amino<br />
acid changes with a predicted effect on protein structure, one<br />
is a stop mutation. We hypothesize that such rare exonic single<br />
base changes may contribute to the schizophrenia disease<br />
allele spectrum at this particular locus. We are currently<br />
analysing the second half <strong>of</strong> the sample. All rare variants<br />
identified in the patients will be tested for parental inheritance<br />
and will be followed-up in large, independent samples <strong>of</strong><br />
schizophrenia patients and controls. F.B.Basmanav and<br />
A.J.Forstner contributed equally to this work.
O9.3 FAMILIAL FORMS OF PSYCHIATRIC<br />
DISORDERS IN A LARGE, NATIONALLY<br />
REPRESENTATIVE SAMPLE<br />
N. Low* (1)<br />
1. McGill University<br />
* nancy.low@mcgill.ca<br />
Introduction: Evidence from clinical populations <strong>of</strong> mood and<br />
anxiety disorders has demonstrated familial aggregation.<br />
Clinical characteristics <strong>of</strong> the familial forms <strong>of</strong> disorders have<br />
also been described (egs, earlier age <strong>of</strong> onset, worse<br />
impairment, treatment refractoriness). These findings require<br />
confirmation in population-based samples where the majority<br />
<strong>of</strong> the burden <strong>of</strong> illness rests. Examination <strong>of</strong> the specificity <strong>of</strong><br />
the familial clinical characteristics across the disorders is also<br />
understudied. Sample: The Canadian Community Health<br />
Survey was cross-sectional survey <strong>of</strong> 36,984 subjects<br />
randomly selected from the population <strong>of</strong> household residents.<br />
The response proportion nationally was 77%. Subjects were<br />
interviewed in-person using Composite International<br />
Diagnostic Interview which included family history. Statistical<br />
Analyses: Multivariable logistic regression models were<br />
constructed to identify clinical characteristic variables<br />
associated with a family history <strong>of</strong> depression, mania, panic<br />
and social phobia. Results: Earlier age <strong>of</strong> onset and age <strong>of</strong> 1st<br />
consultation were common to all the familial forms. Earlier<br />
age <strong>of</strong> 1st treatment was associated with all familial forms<br />
except social phobia. Comorbid disorders: social phobia and<br />
panic were associated with mood disorders; PTSD was<br />
associated with the anxiety disorders, but not mood disorders;<br />
psychosis was associated with depression only. Current<br />
medication use: anxiolytics and antidepressants was associated<br />
with all forms except mania; antipsychotics were associated<br />
the mood disorders; mood stabilizers were associated with<br />
depression, but not mania. Additionally, familial depression<br />
was associated with stressful precipitants, suicide attempts,<br />
impairment, and number <strong>of</strong> consultants seen. Conclusion: The<br />
familial forms <strong>of</strong> depression, mania, panic and social phobia<br />
have common and unique clinical characteristics.<br />
O9.4 RESPONSE TO LITHIUM IN BIPOLAR<br />
DISORDER: INTER-RATER RELIABILITY AND<br />
DISTRIBUTIONAL PROPERTIES<br />
M. Manchia* (1), C. Consortium on Lithium Genetics (2), I.<br />
International Group for The Study <strong>of</strong> Lithium Treated Patients<br />
(3), M. Alda (1)<br />
1. Department <strong>of</strong> Psychiatry, Dalhousie University, Halifax,<br />
Nova Scotia, Canada 2. www.ConLiGen.org 3.<br />
http://www.igsli.org<br />
* mirko.manchia@cdha.nshealth.ca<br />
The Consortium on Lithium Genetics (ConLiGen) has been<br />
created with the aim to investigate the genetic basis <strong>of</strong><br />
response to lithium prophylaxis in more than 1,200 bipolar<br />
patients followed in research centers across the world. In this<br />
context, it is important to assess the key phenotypic measures<br />
and the response to long-term lithium treatment reliability<br />
across the participating centres. To this end, we measured the<br />
inter-rater reliability <strong>of</strong> the response definition based on a 0-10<br />
scale published and validated previously (Gr<strong>of</strong> et al. 2002,<br />
Garnham et al. 2007). 23 investigators from 8 participating<br />
sites rated 12 standardized case vignettes. We analyzed the<br />
concordance <strong>of</strong> ratings by means <strong>of</strong> Kappa (?) and intra-class<br />
correlation coefficient (ICC). In addition, we performed<br />
mixture analysis <strong>of</strong> the empirical distribution <strong>of</strong> the total scale<br />
score from a sample <strong>of</strong> 623 patients studied previously.<br />
Kappa scores and ICC showed a good level <strong>of</strong> agreement<br />
across sites (?=0.67, z=36.87; ICC=0.73). Leaving out the<br />
clear cut non-responders (score=0), modelling <strong>of</strong> score<br />
distribution suggested the presence <strong>of</strong> a best fitting model <strong>of</strong><br />
two normal curves (1 component: ?2= 32.1, p0.05) with the following parameters:<br />
partial responders (mean=3.1, SD=1.5, proportion=0.36) and<br />
full responders (mean=7.7, SD=1.6, proportion=0.64) and<br />
suggested cut-<strong>of</strong>f for full response ≥6. These findings indicate<br />
a good inter-rater reliability <strong>of</strong> assessments <strong>of</strong> the response to<br />
lithium and provide analytical support for the definition <strong>of</strong> the<br />
full response phenotype. These results will be used in a<br />
subsequent genome wide association study <strong>of</strong> the ConLiGen<br />
samples.
O9.5 PROFILING EPIGENETIC CHANGES IN THE<br />
BRAIN ASSOCIATED WITH SCHIZOPHRENIA,<br />
BIPOLAR DISORDER, AND MAJOR DEPRESSIVE<br />
DISORDER<br />
E. Dempster (1), J. Mill (1), C. Wong (1), S. Docherty (1), R.<br />
Pidsley* (1)<br />
1. MRC Social, Genetic and Developmental Psychiatry<br />
Centre, Institute <strong>of</strong> Psychiatry, King’s College, London, UK<br />
* ruth.pidsley@kcl.ac.uk<br />
Traditional aetiological studies <strong>of</strong> psychiatric conditions have<br />
focused primarily on the interplay between genetic and<br />
environmental risk factors. However, a growing body <strong>of</strong><br />
evidence suggests that epigenetic factors also play an<br />
important role in mediating susceptibility to psychiatric<br />
conditions. Epigenetics refers to heritable changes in genomic<br />
function, which are not caused by changes in the nucleotide<br />
sequence <strong>of</strong> the DNA. DNA methylation is one <strong>of</strong> the most<br />
stable and well-characterised forms <strong>of</strong> epigenetic control.<br />
Whilst studies <strong>of</strong> epigenetic dysfunction in neuropsychiatric<br />
conditions are in their infancy, research to date indicates that<br />
there may be widespread DNA-methylation changes in the<br />
brains <strong>of</strong> affected patients. In this study we used a unique<br />
collection <strong>of</strong> post-mortem brain samples to identify<br />
DNA-methylation changes associated with schizophrenia,<br />
bipolar disorder and major depressive disorder. We used a<br />
candidate gene-approach to focus specifically on the<br />
DNA-methylation status across a set <strong>of</strong> genes that have been<br />
previously implicated in psychiatric conditions via<br />
transcriptomic and gene association studies. We used a<br />
highly-sensitive DNA methylation pr<strong>of</strong>iling strategy to assess<br />
epigenetic variation across the known promoter regulatory<br />
regions <strong>of</strong> these genes to detect epigenetic changes associated<br />
with disease. Our studies uncovered evidence <strong>of</strong> DNA<br />
methylation changes in several genes, either globally or at<br />
specific CpG sites, with a number <strong>of</strong> psychiatric patients being<br />
clear epigenetic outliers.<br />
O9.6 DIRAS2 IS ASSOCIATED WITH ADULT ADHD<br />
AND RELATED PERSONALITY TRAITS<br />
A. Reif* (1), L. Weissflog (1), T. Nguyen (2), C. Jacob (1), M.<br />
Romanos (1), S. Liedel (1), H. Schäfer (2), A. Warnke (1), B.<br />
Cormand (3), J. Haavik (4), B. Franke (5), K. Lesch (1)<br />
1. University <strong>of</strong> Würzburg 2. University <strong>of</strong> Marburg 3.<br />
University <strong>of</strong> Barcelona 4. University <strong>of</strong> Bergen 5. University<br />
<strong>of</strong> Nijmegen<br />
* Reif_A@klinik.uni-wuerzburg.de<br />
Attention-deficit/hyperactivity disorder (ADHD) is a clinically<br />
heterogeneous childhood behavioral neurodevelopmental<br />
disorder which is highly persistent into adulthood and <strong>of</strong>ten<br />
goes along with substantial comorbidity. Although it is<br />
assumed that adult ADHD (aADHD) has an even higher<br />
genetic background than childhood ADHD, studies on the<br />
genetics <strong>of</strong> aADHD are scarce. Linkage analyses and<br />
genome-wide association studies (GWAS) identified several<br />
susceptibility loci for this genetically complex disorder. The<br />
9q22 region has been detected by both linkage and GWAS as<br />
a candidate locus for ADHD (Lesch et al., 2008; Zhou et al.,<br />
2008). This region contains the GTP-binding RAS-like 2 gene<br />
(DIRAS2; MIM: 607863) which is expressed in the basal<br />
ganglia and the cerebellum. The function <strong>of</strong> the gene product<br />
is still unknown but might include the regulation <strong>of</strong> cell<br />
morphogenesis. As DIRAS2 thus can be considered a<br />
positional as well as functional candidate gene for ADHD, we<br />
conducted a case-control association study in 624 patients<br />
suffering from adult ADHD diagnosed according to<br />
DSM-IV criteria and 424 controls recruited in the Lower<br />
Franconia area in Germany, all <strong>of</strong> Caucasian origin. Six out <strong>of</strong><br />
the 14 tested SNPs covering all haplotype blocks <strong>of</strong> DIRAS2<br />
were associated with ADHD, with nominal p-values ranging<br />
from p= 0.009 to p= 0.01. Two <strong>of</strong> these SNPs were also<br />
associated with NEO Extraversion and TPQ Harm Avoidance<br />
in affected subjects. Within each <strong>of</strong> two haploblocks, there<br />
was one associated haplotype. A replication attempt is<br />
currently made in the IMpACT sample, consisting <strong>of</strong> an<br />
additional 1,000 patients from The Netherlands, Norway and<br />
Spain. Our findings in adult ADHD are confirmed by a<br />
family-based study on childhood ADHD (166 families, 576<br />
children), where SNPs in the gene were also associated with<br />
disease. These findings indicate consistently that DIRAS2<br />
may play a role in the pathomechanisms <strong>of</strong> ADHD.<br />
Re-sequencing <strong>of</strong> the gene as well as functional studies will be<br />
required to further explore the role <strong>of</strong> DIRAS2 in ADHD.
O9.7 A LONGITUDINAL STUDY OF EPIGENETIC<br />
VARIATION IN TWINS<br />
C. Wong* (1), A. Caspi (2), B. Williams (2), A. Ambler (1),<br />
T. M<strong>of</strong>fitt (2), J. Mill (1)<br />
1. 1-MRC Social, Genetic and Developmental Psychiatry<br />
Centre, Institute <strong>of</strong> Psychiatry, King’s College, London, UK<br />
2. 1-MRC Social, Genetic and Developmental Psychiatry<br />
Centre, Institute <strong>of</strong> Psychiatry, King’s College, London, UK;<br />
2- Departments <strong>of</strong> Psychology and Neuroscience, Psychiatry<br />
and Behavioral Sciences, and Institute for Genome Sciences<br />
and Policy Duke University<br />
* chloe.wong@kcl.ac.uk<br />
Twin studies have been widely used to provide an estimate <strong>of</strong><br />
the relative contribution <strong>of</strong> genetic and environmental factors<br />
to phenotypic traits. In many psychiatric conditions, it is<br />
commonly observed that monozygotic (MZ) twins are more<br />
concordant than dizygotic (DZ) twins, strongly implicating<br />
inherited genetic factors in pathogenesis. Given that MZ twins<br />
are assumed to be genetically identical, any discordance<br />
between the twins is attributed to ‘non-shared’ environmental<br />
factors in the classical twin-study approach. Emerging<br />
evidence suggests that epigenetic factors, such as DNA<br />
methylation, may also contribute to phenotypic<br />
discordance between genetically identical individuals.<br />
Few studies have investigated the extent <strong>of</strong> epigenetic<br />
variation between genetically-identical individuals, and no<br />
study has yet investigated longitudinal changes in DNA<br />
methylation <strong>of</strong> MZ and DZ twins. In this study we assessed<br />
the level <strong>of</strong> within-pair epigenetic discordance in a sample <strong>of</strong><br />
MZ and DZ twins pairs (MZ=46; DZ=45) obtained from the<br />
Environmental-Risk Study, in which samples from the same<br />
individuals were collected at two different time-points (age 5<br />
and 10). The levels <strong>of</strong> DNA methylation across seven<br />
candidate genes related to psychiatric disorders were<br />
quantified using high-resolution bisulfite-based mapping.<br />
Significant gene-specific DNA methylation differences were<br />
observed within both MZ and DZ twin-pairs at both age 5 and<br />
10. Moreover DNA methylation was shown to change<br />
dynamically over-time. Findings from this study will allow us<br />
to elucidate the contribution <strong>of</strong> genetic and environmental<br />
factors to longitudinal changes in DNA methylation and will<br />
have implications for understanding the causes <strong>of</strong> phenotypic<br />
lability.<br />
O9.8 INTERACTION BETWEEN CRHR1 GENE AND<br />
CHILDHOOD TRAUMA PREDICTS ADOLESCENT<br />
DEPRESSIVE AND ANXIETY SYMPTOMS<br />
K. Thode* (1), R. Olvera (1), C. Walss-Bass (1), D.<br />
Williamson (1)<br />
1. UTHSCSA<br />
* thode@uthscsa.edu<br />
The role <strong>of</strong> the hypothalamic-pituitary-adrenal (HPA) axis in<br />
stress-related psychiatric disorders has been well-established.<br />
Recent research identified an interaction between a SNP<br />
(rs1876831) in the CRH receptor 1 (CRHR1) gene and<br />
stressful life events for heavy alcohol use in adolescents. We<br />
identified a CRHR1 promoter SNP (rs12938031) that<br />
predicted increased HPA axis response to CRH stimulation.<br />
The aims <strong>of</strong> our current study were to examine rs12938031's<br />
relationship to rs1876831 as well as whether they moderate<br />
the effects <strong>of</strong> exposure to stress for symptoms <strong>of</strong> depression<br />
and anxiety in adolescents. Data were available from the Teen<br />
Alcohol Outcomes Study (TAOS), an ongoing cohort study<br />
examining alcohol use in adolescents. A total <strong>of</strong> 340<br />
adolescents aged 12-15 years (184 males, 156 females), were<br />
genotyped, and a subset <strong>of</strong> 321 completed the Childhood<br />
Trauma Questionnaire (CTQ) assessing lifetime stressful<br />
events and self-report questionnaires measuring depressive<br />
and anxiety symptoms. rs12938031 and rs1876831 were<br />
found to be in high linkage disequilibrium (D’0.951, LOD<br />
35.6, r2 0.388). Adolescents carrying the major A allele <strong>of</strong><br />
rs12938031 reported greater depressive symptoms in relation<br />
to higher CTQ scores than adolescents homozygous for the<br />
minor G allele (p=0.002). Females with high CTQ scores<br />
reported more depressive symptoms compared to males<br />
regardless <strong>of</strong> genotype (p=0.012). Adolescents carrying the<br />
minor T allele <strong>of</strong> rs1876831 reported greater anxiety<br />
symptoms in relation to higher CTQ scores than adolescents<br />
homozygous for the major C allele (p=0.015). These results<br />
provide further evidence for genetic moderation <strong>of</strong> the stress<br />
response directly involving SNPs in the CRHR1 gene.
O10 MOOD DISORDERS 3<br />
O10.1 ASSOCIATION BETWEEN DISTRACTIBILITY<br />
AND P2RX7 IN SWEDISH BIPOLAR DISORDER<br />
PATIENTS<br />
L. Backlund (1), P. Nikamo (2), L. Frisén (3), I. Römer Ek<br />
(1), L. Träskman-Bendz (4), H. Ågren (5), G. Edman (6), M.<br />
Landén (1), M. Schalling (2), U. Ösby (1)<br />
1. Dpt Clin Neurosc, Karolinska Institutet, Stockholm,<br />
Sweden 2. Div Neurosc, Dpt Mol Med and Surg, Karolinska<br />
Institutet, Stockholm, Sweden 3. Div <strong>of</strong> Psych, Dpt Clin Sc,<br />
Karolinska Institutet, Danderyd Univ Hosp, Stockholm,<br />
Sweden 4. Div Psych, Dpt Clin Sc, Univ Hosp, Lund, Sweden<br />
5. Sahlgrenska Ac,Univ Gothenburg, Inst Neurosc and<br />
Physiol, Sweden 6. Dpt Psych, R&D Sect, Danderyd Univ<br />
Hosp, Sweden<br />
Introduction: Bipolar disorder is a severe psychiatric disorder<br />
(heritability around 80%). At least a dozen genes have been<br />
shown to be involved in the etiology, although replication has<br />
been difficult. We investigated 36 SNPs and their association<br />
with different symptoms in bipolar disorder. Methods: A<br />
Swedish sample <strong>of</strong> 646 patients with bipolar disorder (BP1:<br />
79%, BP2: 21%), was phenotyped with lifetime assessment <strong>of</strong><br />
specific symptoms <strong>of</strong> mania and depression and analyzed with<br />
36 SNPs in the genes S100A10, BDNF, P2RX7, CANKK2,<br />
DAOA, SLC6A4, ADRBK2 and COMT. At first, 171 patients<br />
were analyzed. A second set <strong>of</strong> 475 patients was used for<br />
replication. Genotyping was carried out with Applied<br />
Biosystems TaqMan using ABI PRISM 7900HT Sequence<br />
Detecting System. Statistical analysis (Chi-square tests) was<br />
performed with the Unphased program 3.0.10. Results: The<br />
manic symptom distractibility (set 1: 44%, set 2: 59%, total:<br />
52 %) was significantly associated with two SNPs in the<br />
P2RX7 gene coding for a purinergic ATP-binding channel<br />
implicated in calcium-signaling and neurotransmitter release,<br />
rs1718119 (set 1: p=0.016, set 2: p=0.006, total p=0.0001,<br />
OR=1.7) and rs1621388 (set 1: p=0.038, set 2: =0.054, total:<br />
p=0.001, OR=1.4). No other consistent associations with<br />
distractibility were found. Conclusions: Genetic associations<br />
were identified between distractibility and two SNPs in the<br />
P2RX7 gene in Swedish bipolar patients. These two SNPs are<br />
7 kb and 0.4 kb away from the rs2230912, previously<br />
associated with bipolar disorder. These SNPs might be<br />
associated to dysfunctional P2RX7 receptors and therefore<br />
impairment <strong>of</strong> neurotransmitter systems implicated in bipolar<br />
disorder.<br />
O10.2 THE INTERACTION BETWEEN SEROTONIN<br />
TRANSPORTER GENE (SLC6A4) SINGLE<br />
NUCLEOTIDE POLYMORPHISMS (SNPS) AND<br />
DEPRESSION RISK FACTORS<br />
Z. Samaan* (1), C. Xie (1), M. Zhang (1), B. Keavney (2), J.<br />
Engert (3), G. Pare (1), S. Rangarajan (1), A. Rosengren (4),<br />
K. Sliwa (5), M. Zubaid (6), S. Yusuf (1), S. Anand (1),<br />
Interheart Investigators<br />
1. McMaster University 2. Newcastle University 3. McGill<br />
University 4. Sahlgrenska University 5. Chris Hani<br />
Baragwanath Hospital 6. Kuwait University<br />
* samaanz@mcmaster.ca<br />
Hypothesis: The relationship between genetic variants and<br />
depression is mediated by depression risk factors (DRF).<br />
Background: Genetic studies <strong>of</strong> depression have lacked<br />
consistency at least partly due to the heterogeneous nature <strong>of</strong><br />
depression. We investigated the association between SLC6A4<br />
variants and DRF. Methods: The INTERHEART study was<br />
conducted in 52 countries and identified myocardial infarction<br />
(MI) risk factors. A sub-sample (n = 8717, 80% male) from 5<br />
ethnic groups (South Asian, European, Arab, Iranian and<br />
Nepalese) was studied for depression (based on DSM IV<br />
criteria). Ten SNPs from SLC6A4 were genotyped and tested<br />
for association with depression, DRF, and MI using a<br />
dominant model adjusted for ethnicity, age and sex. Results:<br />
Depression occurred in 1002 (12%) individuals. DRF<br />
included: smoking, stressful life events, chronic disease (i.e.<br />
prior stroke, diabetes), unemployment, sleep, locus <strong>of</strong> control<br />
and BMI. Five SNPs were associated with sleep (rs1042173,<br />
rs4583306, rs7224199, rs3794808 and rs140701, p-values<br />
range from 0.008-0.02) and history <strong>of</strong> stroke (p-values range<br />
from 0.001-0.006). Two additional SNPs were associated<br />
with BMI (rs16965628 p = 0.0007, rs2020933 p = 0.003).<br />
rs2020942 was associated with MI (p = 0.0037) and showed a<br />
trend with depression (p = 0.09). Analysis <strong>of</strong> SNP*DRF on<br />
depression showed a significant interaction between<br />
rs2020942 and sleep (p = 0.003, β -0.14) and rs140700 and<br />
BMI (p = 0.0015, β 0.06). Conclusions: The association<br />
between SLC6A4 variants and depression may be mediated in<br />
part by its association with depression-related risk factors.
O10.3 GABAA RECEPTOR GENE VARIATION AND<br />
SCHIZOAFFECTIVE DISORDER, BIPOLAR TYPE:<br />
EVIDENCE IMPLICATING GABRR1<br />
E. Green (1), D. Grozeva (1), V. Moskvina (1), M. Hamshere<br />
(1), I. Jones (1), L. Jones (2), G. Kirov (1), I. Nikolov (1), D.<br />
Vukcevic (3), S. Caesar (2), K. Gordon-Smith (2), C. Fraser<br />
(1), E. Russell (1), D. St Clair (4), A. Young (5), N. Ferrier<br />
(5), A. Farmer (6), P. McGuffin (6), Wellcome Trust Case<br />
Consortium , P. Holmans (1), M. Owen (1), M. O'Donovan<br />
(1), N. Craddock (1)<br />
1. Cardiff University 2. University <strong>of</strong> Birmingham 3.<br />
University <strong>of</strong> Oxford 4. University <strong>of</strong> Aberdeen<br />
5. Newcastle University 6. Institute <strong>of</strong> Psychiatry<br />
Previously, we have shown that variation in the GABAA<br />
receptor genes, GABRB1, GABRA4, GABRB3, GABRA5<br />
and GABRR3, influence risk for research diagnostic<br />
Schizoaffective disorder, bipolar type (RDC SABP) in our<br />
Wellcome Trust Case Consortium (WTCCC) bipolar disorder<br />
genome-wide association study (GWAS) (279 RDC SABP<br />
cases and 2938 controls). To ascertain if within our data any<br />
additional GABAA receptor gene family members were<br />
potentially associated with susceptibility to risk for RDC<br />
SABP, we went on to examine the imputed GWAS data<br />
(frequentist additive model). Ten genes were studied; omitting<br />
the 5 previously identified associated genes, the 3 X<br />
chromosome genes and GABRD on chromosome 1 for which<br />
no SNPs were genotyped in our dataset. SNPs were selected<br />
with a minor allele frequency > 1% and that were located<br />
within the reference sequence or that lay within 20kb,<br />
upstream and downstream, <strong>of</strong> the genes. Imputation provided<br />
superior additional evidence for association with SNP<br />
rs9451173 (frequentist additive p value = 1.5x10-4), an<br />
intronic SNP within GABAA rho 1 gene (GABRR1). We<br />
genotyped the rs9451173 polymorphism in a subset <strong>of</strong> our<br />
WTCCC and new samples, 298 RDC SABP cases (279<br />
WTCCC & 19 new) and 2270 controls (1442 WTCCC & 828<br />
new). We observed a significant association for rs9451173, C<br />
allele: cases, 7.1%; controls: 3.8%; Allelic p value = 4x10-4;<br />
odds ratio OR, [95% CI] = 051, [0.36-0.74] Our findings<br />
suggest that variation in GABRR1 gene potentially influences<br />
risk for the RDC SABP phenotype.<br />
O10.4 IDENTIFYING PANELS OF GENES FOR<br />
GENETIC RISK PREDICTION IN BIPOLAR<br />
DISORDER USING CONVERGENT FUNCTIONAL<br />
GENOMICS<br />
H. Le-Niculescu (1), S. Patel (1), D. Koller (1), J. Nurnberger<br />
(1), N. Schork (2), A. Niculescu (3)<br />
1. Indiana University 2. Scripps Research Institute 3. Indiana<br />
University/ Indianapolis VA <strong>Medical</strong> Center<br />
Mounting convergent evidence implicates many more genes in<br />
complex disorders such as bipolar disorder than the small<br />
number identified unambiguously by Genome-Wide<br />
Association studies (GWAS) to date. We previously proposed<br />
and provided pro<strong>of</strong> <strong>of</strong> principle for the use <strong>of</strong> a<br />
complementary approach, Convergent Functional Genomics<br />
(CFG), as a way <strong>of</strong> mining the existing GWAS datasets for<br />
signals that are there already, but did not reach significance<br />
using a genetics-only approach. We have now extended our<br />
previous work to include more datasets <strong>of</strong> GWAS, and more<br />
recent evidence from other lines <strong>of</strong> work. In essence our<br />
analysis is the most comprehensive integration <strong>of</strong> genetics and<br />
functional genomics to date in the field <strong>of</strong> bipolar disorder,<br />
identifying aseries <strong>of</strong> best candidate genes for bipolar disorder.<br />
Moreover, we have put together, based on these top genes, a<br />
comprehensive list <strong>of</strong> the best Single Nucleotide<br />
Polymorphisms (SNPs). Panels <strong>of</strong> such SNPs can be used for<br />
genetic testing for bipolar disorder before the illness manifests<br />
itself. We have developed a Genetic Risk Prediction Score<br />
(GRPS) based on such panels, and demonstrate how in an<br />
independent test cohort for which we had both genotypic and<br />
clinical information, the GRPS differentiates between patients<br />
with bipolar disorder and normal controls. Such testing could<br />
be used for diagnostics and personalized medicine approaches,<br />
as well as for early detection and prevention efforts in<br />
high-risk individuals.
O10.5 MINOR ALLELE OF RS2230912 IS<br />
PROTECTIVE AGAINST RAPID CYCLING IN<br />
A SWEDISH SAMPLE OF BIPOLAR DISORDER<br />
PATIENTS<br />
P. Nikamo* (1), L. Backlund (2), L. Frisén (3), I. Römer Ek<br />
(2), L. Träskman-Bendz (4), H. Ågren (5), G. Edman (6), M.<br />
Landén (2), U. Ösby (2), M. Schalling (1)<br />
1. Neurogenetics Unit, Department <strong>of</strong> Molecular Medicine and<br />
Surgery, Karolinska Institutet, Stockholm, Sweden 2.<br />
Department <strong>of</strong> Clinical Neuroscience, Karolinska Institutet,<br />
Stockholm, Sweden 3. Division <strong>of</strong> Psychiatry, Department <strong>of</strong><br />
Clinical Sciences, Karolinska Institutet, Danderyd University<br />
Hospital, Stockholm, Sweden 4. Division <strong>of</strong> Psychiatry,<br />
Department <strong>of</strong> Clinical Sciences, University Hospital, Lund,<br />
Sweden 5. Academy at the University <strong>of</strong> Gothenburg,<br />
Institution <strong>of</strong> Neuroscience and Physiology, Sweden<br />
6. Department <strong>of</strong> Psychiatry, R&D Section, Danderyd<br />
University Hospital, Sweden<br />
* pernilla.nikamo@ki.se<br />
Background: Bipolar disorder is a common and severe<br />
psychiatric illness. Of bipolar patients, 15-20% suffers from<br />
the rapid cycling subdiagnosis, defined by at least four<br />
episodes <strong>of</strong> a mood disturbance during a twelve month period.<br />
In previous studies the gene P2RX7 which is a purinergic<br />
ATP-binding calcium channel expressed in neurons, has been<br />
associated with bipolar disorder. Methods: We selected<br />
three non-synonymous SNPs in the P2RX7 gene; RS7958311<br />
(His270Arg), RS1718119 (Thr348Ala) and RS2230912<br />
(Gln460Arg) as well as one synonymous SNP; RS1621388.<br />
The RS2230912 polymorphism is non-conservative such that<br />
the minor allele results in a glutamine to arginine change<br />
(Gln460Arg), which is likely to affect P2RX7 dimerization<br />
and protein–protein interactions. We performed an association<br />
analysis <strong>of</strong> 646 Swedish patients, diagnosed with bipolar<br />
disorder according to DSM-IV, comparing those with a rapid<br />
cycling subdiagnosis (n=115) with those with other<br />
subdiagnoses (n=375). Results: For the rapid cycling<br />
subdiagnosis the RS2230912_G allele in the P2RX7 gene<br />
showed a negative association (P=0.004; OR=0.46).<br />
RS2230912 and RS1621388 are 367 bases apart and were<br />
together as haplotype AT positively associated with rapid<br />
cycling (P=0.01; OR=1.24) whereas the GT haplotype was<br />
negatively associated (P=0.01; OR 0.49). Conclusion: In<br />
Swedish bipolar patients with a rapid cycling subdiagnosis, we<br />
identified in the P2RX7 gene two protective associations and<br />
one association with an increased rate <strong>of</strong> rapid cycling. Thus,<br />
our findings support previous findings <strong>of</strong> an association<br />
between bipolar disorder and RS2230912_G allele in the<br />
P2RX7 gene, although our findings were specifically related<br />
to the rapid cycling subdiagnosis. Corresponding author:<br />
O11 EARLY CAREER INVESTIGATOR<br />
TRACK: WHOLE-GENOME APPROACHES<br />
O11.1 ADDRESSING ALLELIC HETEROGENEITY IN<br />
THE WHOLE-GENOME STUDY ERA: A<br />
POPULATION-BASED LINKAGE STUDY<br />
INVESTIGATING UNIPOLAR DEPRESSION<br />
S. Cohen-Woods* (1), C. Lewis (1), M. NG (1), A. Butler (1),<br />
K. Pirlo (1), A. Schosser (1), R. Uher (1), M. Owen (2), M.<br />
Barnes (3), P. Muglia (4), M. Lathrop (3), S. Heath (3), K.<br />
Aitchison (5), A. Farmer (1), I. Craig (1), P. McGuffin (1), G.<br />
Breen (1)<br />
1. MRC SGDP Centre, Institute <strong>of</strong> Psychiatry, King’s College<br />
London 2. Department <strong>of</strong> Psychological Medicine, Cardiff<br />
University 3. Centre National de Génotypage, 91057 Evry,<br />
France 4. GSK Research & Development, Genetics, Drug<br />
Discovery, Via Fleming 4, Verona, Italy and Greenford Road,<br />
Greenford, Middlesex UB6 OHE, UK 5. Institute <strong>of</strong><br />
Psychiatry, King's College London<br />
* sarah.cohen@kcl.ac.uk<br />
Although the substantial genetic contribution to depression<br />
predisposition is well-established, specific genes have failed to<br />
be consistently identified through ‘traditional’ single-gene<br />
association studies. Genome-wide association studies<br />
(GWAS) have recently become viable through the<br />
advancements in genotyping platforms and reduction in<br />
chip-genotyping costs. A complementary strategy to the<br />
standard case-control association analysis <strong>of</strong> genome-wide<br />
association study (GWAS) data is population-based linkage<br />
(PBL) analysis. PBL identifies relatively rare variants, as<br />
opposed to common variants, and also accounts for the<br />
possibility <strong>of</strong> allelic heterogeneity. Case samples from three<br />
genetic studies in depression were combined; the Depression<br />
Case-Control (DeCC) study, the Depression Network (DeNT)<br />
study, and the Genome Based Therapeutic Drugs for<br />
Depression (GENDEP) study. Controls screened by<br />
questionnaire and/or telephone interview for absence <strong>of</strong><br />
psychiatric disorders, and lack <strong>of</strong> family history <strong>of</strong> psychiatric<br />
disorders, were also genotyped. In total the sample presented<br />
includes approximately 3,200 cases and 1,800 controls. Each<br />
case individual was diagnosed with DSM-IV/ICD-10<br />
depression, <strong>of</strong> at least moderate severity, as assessed by SCAN<br />
interview. Samples were genotyped using the Illumina Human<br />
610-quad DNA analysis bead chip. Loci showing evidence for<br />
linkage will be presented, alongside a clear description <strong>of</strong> the<br />
quality control applied. This represents the first clinical<br />
case-control GWAS study applying population-based linkage<br />
to date investigating recurrent unipolar depression. With<br />
important and far-reaching implications for pharmaco-genetic<br />
studies, more directed and economical research may be<br />
applied to further elucidate the underlying aetiology, and<br />
ultimately treatment, <strong>of</strong> unipolar depression.
O11.2 IMPROVEMENT OF PHENOTYPING IN<br />
GENOME WIDE ASSOCIATION STUDIES ON<br />
SCHIZOPHRENIA: AN APPLICATION OF FACTOR<br />
ANALYSIS<br />
E. Derks* (1), M. Boks (1), J. Allardyce (2), R. Oph<strong>of</strong>f (3), R.<br />
Kahn (1), W. Cahn (1)<br />
1. Department <strong>of</strong> Psychiatry, Rudolf Magnus Institute <strong>of</strong><br />
Neuroscience, University <strong>Medical</strong> Centre Utrecht, Utrecht,<br />
The Netherlands 2. Psychiatry and Neuropsychology, School<br />
for Mental Health and Neuroscience, EURON, SEARCH,<br />
Maastricht University <strong>Medical</strong> Centre, Maastricht, The<br />
Netherlands 3. Complex Genetics Section, Department <strong>of</strong><br />
Biomedical Genetics, University <strong>Medical</strong> Center Utrecht,<br />
Utrecht, the Netherlands<br />
* e.m.derks@umcutrecht.nl<br />
Genetic factors explain a large proportion (81%) <strong>of</strong> the<br />
variation in schizophrenia. Nevertheless, the identification <strong>of</strong><br />
specific genes is not very successful as the enormous<br />
investments that are made on the genotypic level (e.g.,<br />
genotyping ~1,000,000 SNPs) are not matched by similar<br />
investments on the phenotypic level. We aim to improve the<br />
assessment <strong>of</strong> individual differences in schizophrenia by<br />
performing factor analysis on 66 Comprehensive Assessment<br />
<strong>of</strong> Psychiatric History (CASH) symptoms in a sample <strong>of</strong> 2290<br />
patients with schizophrenia, schizophreniform, schizoaffective<br />
disorder, bipolar disorder or depression, and 1888 healthy<br />
controls from the Netherlands. Variation in schizophrenia<br />
symptoms is best represented by five latent dimensions<br />
(positive, negative, mania, disorganisation, and depression).<br />
Diagnostic subgroups show different patterns on the five latent<br />
dimensions. Compared to healthy controls, patients diagnosed<br />
with depression show elevated scores on each <strong>of</strong> the five<br />
dimensions. Despite the fact that schizophrenia is a highly<br />
heterogeneous disorder, gene finding studies collapse patients<br />
with different symptom patterns into one group. However, if<br />
in reality these patients have distinct genetic vulnerabilities,<br />
this would dramatically decrease the statistical power to detect<br />
functional genetic variants. Furthermore, case-control studies<br />
on schizophrenia should exclude patients diagnosed with<br />
depression as healthy controls. Even though these patients do<br />
not meet diagnostic criteria for schizophrenia, they obtain high<br />
scores on the five latent dimensions which explain variation in<br />
schizophrenia symptoms suggesting that they share part <strong>of</strong> the<br />
genetic vulnerability to schizophrenia. We recommend using<br />
continuously distributed factor scores as quantitative outcome<br />
measures in future gene finding studies.<br />
O11.3 HIGH COVERAGE WHOLE-GENOME<br />
SEQUENCING IN SCHIZOPHRENIA: PROOF OF<br />
FEASIBILITY AND VARIANT ANNOTATION<br />
PROTOCOLS<br />
A. Need* (1), D. Ge (1), K. Shianna (1), J. Thrall (2), J. Maia<br />
(1), J. McEvoy (2), D. Goldstein (1)<br />
1. Institute for Genome Sciences & Policy, Duke University,<br />
Durham, NC 27710, USA 2. Department <strong>of</strong> Psychiatry and<br />
Behavioral Sciences, Duke University <strong>Medical</strong> Center,<br />
Durham, NC 27509, USA<br />
* need0001@duke.edu<br />
Large-scale genome-wide association studies have suggested<br />
that common genetic variants make at most a modest<br />
contribution to the high heritability <strong>of</strong> schizophrenia. These<br />
findings, together with the association with schizophrenia <strong>of</strong> a<br />
number <strong>of</strong> rare copy number variants, have led to the<br />
hypothesis that the much <strong>of</strong> the heritability may be explained<br />
by rare variants with strong effects. In order to<br />
comprehensively screen for such variation it is necessary to<br />
sequence entire patient genomes (or exomes). Here we present<br />
the first whole genome sequence <strong>of</strong> a patient with<br />
schizophrenia, generated as part <strong>of</strong> a larger schizophrenia<br />
sequencing study at the Center for Human Genome Variation<br />
at Duke University. We use these data to illustrate the<br />
procedures involved in generating and analyzing<br />
whole-genome sequence data in an academic setting. We<br />
present a novel s<strong>of</strong>tware program, called Sequence Variant<br />
Analyzer, which is used to annotate and assign function to<br />
variants identified from the sequence data. We will report the<br />
total number <strong>of</strong> novel coding variants and their predicted<br />
function (nonsense, missense, synonymous, splice-affecting,<br />
etc), as well as detailed analyses <strong>of</strong> candidate genes, regions<br />
and pathways that have been associated with schizophrenia<br />
though family studies or animal models. Collectively, these<br />
analyses confirm the feasibility <strong>of</strong> whole-genome sequencing<br />
as a discovery tool in psychiatric genomics.
O11.4 GENETICS OF ALCOHOL DEPENDENCE<br />
COMORBIDITY IN BIPOLAR DISORDER:<br />
GENOME-WIDE ASSOCIATION STUDY<br />
E. Nwulia* (1), M. Hipolito (1), W. Lawson (1), P. Zandi (2),<br />
J. Nurnberger Jr (3), Bipolar Genome Study (BiGS)<br />
1. Howard University 2. Johns Hopkins University 3.<br />
University <strong>of</strong> Indiana<br />
* enwulia@howard.edu<br />
The identification <strong>of</strong> bipolar disorder (BD) susceptibility<br />
genes has been hindered by genetic heterogeneity , among<br />
other factors. Genetic heterogeneity may be a reflection <strong>of</strong><br />
phenotypic variability. Several lines <strong>of</strong> inquiry have suggested<br />
that genetic predisposition to BD might also be expressed as<br />
liability to alcohol dependence (AD) in subgroups <strong>of</strong> families.<br />
To further explore this relationship, we performed a<br />
Genomewide Association Study (GWAS) for comorbid AD in<br />
a sample <strong>of</strong> unrelated BD individuals (n=1001) <strong>of</strong> European<br />
ancestry (EA) recruited from 11 US institutions as part <strong>of</strong> the<br />
NIMH Collaborative Genetics <strong>of</strong> Bipolar Disease Study. BD<br />
cases were classified into those with AD (BDAD, N = 460)<br />
and those without AD (BDNAD, n = 528) for the purpose <strong>of</strong><br />
case-only GWA. Genotyping using Affymetrix 6.0 array was<br />
provided by the Genetic Analysis Information Network<br />
(GAIN). Analyses involved logistic and polytomous<br />
regressions; we also adjusted for sex, which was significantly<br />
associated with alcohol dependence (51.2% in males versus<br />
41.9% in females; P = 0.003). The strongest statistical signal<br />
(OR, 1.64; P = 1.19 x 10-6) from this case-only analysis was<br />
found in the WDR59 gene on chromosome 16q23.1. We also<br />
found strong association between a SNP in the alphaN-catenin<br />
(CTNNA2) gene on 2p12 with BDAD vs. BDNAD (OR, 1.51;<br />
P < 7.0 x 10-6). The risk allele for this locus was however<br />
inversely associated with BDNAD vs. normal controls (NC)<br />
(OR, 0.77;P < 10-3), but not with BDAD vs. NC (OR, 1.16; P<br />
< 0.08). Confirmation <strong>of</strong> these putative associations,<br />
coherence with other lines <strong>of</strong> study, and demonstration <strong>of</strong><br />
biological plausibility are needed for causal inferences to be<br />
applied to these findings.<br />
O11.5 GENE BASED AND PATHWAY ANALYSIS<br />
REVEAL GENOME-WIDE SIGNIFICANT GENES AND<br />
MOLECULAR PATHWAYS ASSOCIATED WITH<br />
BIPOLAR DISORDER<br />
I. Pedroso* (1), D. Collier (2), A. Farmer (1), P. McGuffin<br />
(1), G. Breen (1)<br />
1. MRC SGDP Centre, Institute <strong>of</strong> Psychiatry, King’s College<br />
London, De Crespigny Park, London SE5 8AF, UK 2.<br />
Division <strong>of</strong> Psychological Medicine, Institute <strong>of</strong> Psychiatry,<br />
King’s College London, De Crespigny Park, London SE5<br />
8AF, UK<br />
* intipedroso@gmail.com<br />
Despite the high heritability (~80%) and familial aggregation<br />
observed in Bipolar Disorder (BD), its molecular genetic<br />
underpinnings are still largely unknown. Candidate gene<br />
findings have yielded few replicated associations. Data is now<br />
available from several Genome Wide Association Scans<br />
(GWAS) <strong>of</strong> BD. We reanalyzed four <strong>of</strong> these GWAS using<br />
gene based and pathway analysis. We combined the<br />
association statistics <strong>of</strong> SNPs on a gene-wide basis while<br />
correcting by the number <strong>of</strong> tests and the correlation between<br />
them (i.e. LD between SNPs). Our method has advantages<br />
over alternatives: it is neither biased by the gene-size nor<br />
inflated by the correlation between the tests, it allows the use<br />
<strong>of</strong> summary statistics and LD information from HapMap and it<br />
is computationally inexpensive. We identified several<br />
genome-wide significant genes, which were below multiple<br />
testing correction on the single SNP analysis, and several<br />
pathways passed multiple testing correction. Our results<br />
suggest that combining the effect <strong>of</strong> genetic variants enhance<br />
the power to detect genetic associations and provide replicated<br />
evidence for common genetic variation on genes and<br />
biological processes on the aetiology <strong>of</strong> BD.
O11.6 A GENOME-WIDE ASSOCIATION STUDY OF<br />
OBSESSIVE-COMPULSIVE DISORDER USING DNA<br />
POOLING<br />
J. Wendland* (1), F. McMahon (1), D. Denys (2), S. Walitza<br />
(3), M. Arcos-Burgos (4), S. Cichon (5), T. Schulze (6), M.<br />
Rietschel (6), D. Murphy (1)<br />
1. NIMH 2. Univ. <strong>of</strong> Amsterdam 3. Univ. <strong>of</strong> Zurich 4. Univ.<br />
<strong>of</strong> Miami 5. University <strong>of</strong> Bonn 6. Central Institute <strong>of</strong> Mental<br />
Health, Mannheim<br />
* wendlandj@mail.nih.gov<br />
Obsessive-compulsive disorder (OCD) is a severe<br />
neuropsychiatric illness characterized by persistent, intrusive<br />
thoughts and repetitive behaviors. There is compelling<br />
evidence for major genetic contributions to the etiology <strong>of</strong><br />
OCD from twin and family studies. The exact molecular<br />
mechanisms, however, are not fully elucidated, and few genes<br />
or polymorphisms have been consistently replicated in genetic<br />
studies. Here, we used a genome-wide association study<br />
approach to identify common genetic variants involved in<br />
OCD. We pooled equimolar amounts <strong>of</strong> 40 – 60 unrelated<br />
individuals’ genomic DNA and used Illumina single<br />
nucleotide polymorphism (SNP) microarray chips<br />
interrogating over 320,000 markers distributed across the<br />
genome. We tested 4 OCD pools derived from US probands<br />
and 4 OCD pools from Dutch probands and an equal number<br />
<strong>of</strong> ethnically and geographically matched control pools.<br />
Inferred allele frequencies between case and control pools<br />
were compared with a two-sided t test. We identified 25 SNPs<br />
that were nominally significantly associated at P < .01 in both<br />
the US and European case-control comparison and had the<br />
same direction <strong>of</strong> effect. One <strong>of</strong> these markers, rs1409294,<br />
was replicated in an independent collection <strong>of</strong> 103 German<br />
early-onset OCD trios which were individually genotyped by<br />
5’ exonuclease methodology. The replicated variant is located<br />
on chromosome 6q22.31 in an intergenic region between the<br />
non-coding RNA gene STL (six-twelve leukemia) and<br />
NKAIN2, a protein-coding gene expressed in the brain. In<br />
addition to further replication attempts, functional studies are<br />
now warranted to determine the biological mechanisms<br />
through which the newly-identified locus may be relevant to<br />
OCD etiology.<br />
O12 SCHIZOPHRENIA 3<br />
O12.1 FOLLOW-UP FINE MAPPING AND DEEP<br />
RE-SEQUENCING OF ZNF804A IN SCHIZOPHRENIA.<br />
H. Williams (1), N. Norton (1), S. Dwyer (1), L. Carroll (1),<br />
L. Georgieva (1), T. Peirce (1), V. Moskvina (1), M.<br />
Hamshere (1), I. Nikolov (1), P. Holmans (1), S. Zammit (1),<br />
A. Hartmann (2), H. Moller (2), D. Morris (3), E. Quinn (3),<br />
N. Williams (1), I. Giegling (2), N. Craddock (1), M. Gill (3),<br />
A. Corvin (3), D. Rujescu (2), G. Kirov (1), M. Owen (1), M.<br />
O'Donovan (1)<br />
1. Cardiff University 2. Ludwig-Maximilians-University 3.<br />
Trinity College Dublin<br />
The use <strong>of</strong> genome wide association studies (GWAS) to<br />
uncover genetic variants that are robustly associated with<br />
complex diseases is well established. However, further work is<br />
required to identify which genetic variant or variants actually<br />
confer disease risk and the mechanism involved. We have<br />
previously published the results <strong>of</strong> a schizophrenia GWAS<br />
(O’Donovan, et al 2008) where an intronic SNP (rs1344706)<br />
in the gene ZNF804A was our most significant finding (meta<br />
P=1.61x10-7). Here we describe follow-up studies aimed at a)<br />
confirming the evidence for robust association obtained in our<br />
and c) determining how this might confer risk to the disorder.<br />
We have performed a meta analysis including additional data<br />
from recently published schizophrenia GWAS and show that<br />
marker rs1344706 now exceeds genome wide levels <strong>of</strong><br />
significance. We performed mutation screening <strong>of</strong> all coding<br />
sequence, association analysis <strong>of</strong> functional and tag SNPs as<br />
well as deep re-sequencing <strong>of</strong> the genomic region around<br />
ZNF804A. Our results show that although we have<br />
discovered and characterised many new novel polymorphisms,<br />
rs1344706 is still the most significant variant at this locus.<br />
Finally using the GeneVar database we shown that the<br />
rs1344706 risk allele (T) is associated with an over expression<br />
<strong>of</strong> the ZNF804A transcript.
O12.2 SCHIZOPHRENIA-RELATED BEHAVIORAL<br />
CHANGES IN G72/G30 TRANSGENIC MICE<br />
D. Otte* (1), A. Bilkei-Gorzo (1), Ö. Yilmaz (1), C. Turck<br />
(2), M. Holst (3), K. Schilling (4), R. Abou Jamra (5), P.<br />
Propping (5), A. Zimmer (1)<br />
1. Department <strong>of</strong> Molecular Psychiatry, University <strong>of</strong> Bonn,<br />
Germany 2. MPI Psychiatry, Munich, Germany 3. Institute <strong>of</strong><br />
Anatomy, University <strong>of</strong> Bonn, Germany 4. Institute <strong>of</strong><br />
Anatomy, University <strong>of</strong> Bonn, Germany 5. Institute <strong>of</strong> Human<br />
Genetics, University <strong>of</strong> Bonn, Germany<br />
* d.otte@uni-bonn.de<br />
Genetic studies have implicated the evolutionary novel,<br />
anthropoid primates-specific gene locus G72/G30 in<br />
psychiatric diseases like schizophrenia, bipolar- and<br />
panic-disorders. It encodes for a protein LG72 that has been<br />
controversially discussed as putative activator or inhibitor <strong>of</strong><br />
the peroxisomal enzyme D-amino-acid-oxidase (DAO), or as a<br />
mitochondrial protein. Here we have generated “humanized”<br />
BAC transgenic mice (G72Tg) that express G72/G30<br />
transcripts. In-situ hybridization analysis revealed that G72<br />
mRNAs are prominently expressed in granular cells<br />
throughout the brain. Transgenic mice show a number <strong>of</strong><br />
behavioral phenotypes that are relevant to psychiatric<br />
disorders. These phenotypes include deficits in sensorimotor<br />
gating, locomotor deficits, increase compulsive behaviors and<br />
deficits in smelling. These results identify LG72 as a possible<br />
key protein in pathomechanism <strong>of</strong> psychiatric diseases.<br />
O12.3 DEEP RESEQUENCING AND ASSOCIATION<br />
ANALYSIS OF SCHIZOPHRENIA CANDIDATE<br />
GENES<br />
P. Sullivan (1), J. Crowley* (1), M. Morgan (2), P. Sklar (3),<br />
S. Purcell (4), J. Lieberman (5), R. Gibbs (2)<br />
1. UNC Chapel Hill 2. Baylor College <strong>of</strong> Medicine 3.<br />
Massachusetts General Hospital 4. The Broad Institute 5.<br />
Columbia University<br />
* crowley@unc.edu<br />
In 2006, there were ~10 genes for which there was reasonable<br />
evidence for involvement in the etiology <strong>of</strong> schizophrenia. The<br />
pattern <strong>of</strong> results for these genes suggests that there may be<br />
sequence variants that have not yet been discovered, and<br />
existing re-sequencing has been limited. To address this<br />
limitation, we re-sequenced the coding regions, 5’ and 3’<br />
UTRs, splice sites, promoters and conserved intronic regions<br />
<strong>of</strong> these 10 genes in 727 cases with schizophrenia from the<br />
CATIE clinical trial and 729 matched controls. A total <strong>of</strong> 778<br />
single nucleotide polymorphisms (SNPs) were identified by<br />
resequencing, including 620 novel variants. A total <strong>of</strong> 30 high<br />
priority variants were deemed worthy <strong>of</strong> genotyping in a larger<br />
population, based on a combination <strong>of</strong> factors including:<br />
association with schizophrenia in CATIE, novelty, SNP type<br />
(non-sense and missense mutations) and minor allele<br />
frequency in cases <strong>of</strong> European ancestry. These 30 variants are<br />
currently being examined for association with schizophrenia in<br />
a distinct sample <strong>of</strong> 3,391 schizophrenia cases and 3,181<br />
controls, all <strong>of</strong> European ancestry and collected by the<br />
International Schizophrenia Consortium (ISC). In conclusion,<br />
schizophrenia candidate genes possess a great deal <strong>of</strong> common<br />
and rare variation not covered on current genome-wide<br />
association platforms. Further analysis <strong>of</strong> these variants in<br />
distinct schizophrenia samples will provide a clearer picture <strong>of</strong><br />
the role these genes play in schizophrenia etiology.
O12.4 FINE MAPPING OF AHI1 ON 6Q23 AS A<br />
SUSCEPTIBILITY GENE FOR SCHIZOPHRENIA<br />
FROM ASSOCIATION TO EVOLUTIONARY<br />
EVIDENCES<br />
F. Torri (1), A. Akelai (2), S. Lupoli (3), M. Sironi (4), M.<br />
Fumagalli (4), E. Osimo (1), C. Dal Fiume (1), D. ,<br />
Amann-Zalcenstein (5), E. Ben-Asher (5), K. Kanyas (2), R.<br />
Cagliani (4), D. Lancet (5), P. Cozzi (6), L. , SStrik Lievers<br />
(1), E. Salvi (1), A. Orro (7), J. Beckmann (8), B. Lerer (9), F.<br />
Macciardi (10)<br />
1. University <strong>of</strong> Milan, Filarete Foundation, Milan, Italy<br />
2. Hadassah–Hebrew University <strong>Medical</strong> Center, Jerusalem,<br />
Israel 3. INSPE, Scientific Institute San Raffaele, Milan, Italy<br />
4. Scientific Institute IRCCS E. Medea, Parini (LC), Italy 5.<br />
Weizmann Institute <strong>of</strong> Science, Rehovot, Israel 6. ITB, CNR,<br />
Milan, Italy 7. ITB, CNR, Milan, Italy;CILEA Consortium,<br />
Segrate, Milan, Italy 8. Centre Hospitalier Universitaire<br />
Vaudois and University <strong>of</strong> Lausanne, Switzerland 9.<br />
Hadassah–Hebrew University <strong>Medical</strong> Center, Jerusalem,<br />
Israel;Miller School <strong>of</strong> Medicine, University <strong>of</strong> Miami<br />
10. University <strong>of</strong> Milan, Filarete Foundation, Milan,<br />
Italy;Department <strong>of</strong> Psychiatry and Human Behavior,<br />
University <strong>of</strong> California, Irvine, CA, USA<br />
In previous linkage studies we identified a susceptibility<br />
region on 6q23.3 in a set <strong>of</strong> Arab-Israeli families. In a<br />
follow-up study we proposed the Abelson Helper Integration<br />
Site 1 (AHI1), which plays a key role in neurodevelopment, as<br />
a gene associated with SCZ. To definitively confirm AHI1 as<br />
the best finding in the region, we performed a dense mapping<br />
genotyping 2019 SNPs in 58 families <strong>of</strong> the previously studied<br />
sample. Our strongest associated SNPs and haplotypes lay<br />
within a 500 kb genomic region (135.6–136.1 Mb)<br />
encompassing AHI1 and BC040979. Within the AHI1 gene,<br />
rs11154801 (p=6.23E-06) and rs7759971 (p=1.84E-06)<br />
showed the strongest associations, with haplotypes having<br />
p-values in the 10E-8 to 10E-10 range. The second most<br />
highly significant region maps immediately distally from<br />
AHI1 and includes the intergenic region between BC040979<br />
and PDE7B, and both the PDE7B and MAP7 genes, which<br />
show brain expression. Given a possible involvement <strong>of</strong><br />
positive selection <strong>of</strong> SCZ genes we resequenced a 10kb region<br />
within AHI1 in ethnically defined populations and found<br />
evidence for a selective sweep in Europeans. Network analysis<br />
indicated the presence <strong>of</strong> two haplotype clades, with<br />
SCZ-susceptibility haplotypes clustering within the major<br />
clade. In line with new wave <strong>of</strong> genetic investigations<br />
focusing now on the implication <strong>of</strong> rare and common copy<br />
number variants (CNVs) in SCZ, we have also carried out a<br />
whole-genome CNV analysis in the same Arab-Israeli sample<br />
detect CNVs investigate the pathways in which the<br />
SCZ-associated CNVs are mainly involved to build a potential<br />
model <strong>of</strong> interaction with the SCZ-associated genes we found<br />
in our study. Our data confirm and definitely support the role<br />
<strong>of</strong> AHI1 as a susceptibility gene for SCZ.<br />
O12.5 COPY NUMBER VARIANTS AFFECTING<br />
MYELIN GENES IN SCHIZOPHRENIA<br />
L. Georgieva* (1), G. Kirov (1), P. Holmans (1), V.<br />
Moskvina (1), V. Haroutunian (2), T. Sakurai (1), J. Young<br />
(3), J. Buxbaum (3), N. Craddock (1), M. Owen (1), M.<br />
O'Donovan (1)<br />
1. MRC Centre for Neuropsychiatric Genetics and Genomics,<br />
Department <strong>of</strong> Psychological Medicine, Cardiff University,<br />
Heath Park, Cardiff, United Kingdom 2. Department <strong>of</strong><br />
Psychiatry, Mount Sinai School <strong>of</strong> Medicine, New York,<br />
USA;Mental Illness Research, <strong>Education</strong> and Clinical Centres,<br />
Bronx Veterans Affairs <strong>Medical</strong> Centre, Bronx, New York,<br />
USA 3. Department <strong>of</strong> Psychiatry, Mount Sinai School <strong>of</strong><br />
Medicine, New York, USA<br />
* georgievaln@cardiff.ac.uk<br />
Background: Abnormal oligodendrocyte function and<br />
myelination have been implicated in schizophrenia (SZ) by a<br />
diverse range <strong>of</strong> experimental approaches including gene<br />
expression analysis, neuropathology, neuroimaging and<br />
genetic association. Some <strong>of</strong> the most convincing findings in<br />
SZ genetics in the last 18 months concern the involvement <strong>of</strong><br />
low frequency copy number variants (CNVs) in that disorder.<br />
Aims: To assess whether rare CNVs (
O13 AUTISM<br />
O13.1 ALTERED SYNAPTIC PLASTICITY IN MICE<br />
LACKING ONE COPY OF THE SHANK3 GENE, A<br />
GENE MUTATED IN AUTISM SPECTRUM<br />
DISORDERS<br />
J. Buxbaum* (1), T. Sakurai (1), X. Wang (1), Q. Zhou (1),<br />
D. Papapetrou (1), P. H<strong>of</strong> (1), O. Bozdagi (1), L. Ospina (1)<br />
1. Mount Sinai School <strong>of</strong> Medicine<br />
* joseph.buxbaum@mssm.edu<br />
Background: Studies have demonstrated that rare, highly<br />
penetrant genetic variants can lead to autism spectrum<br />
disorders (ASDs). With the identification <strong>of</strong> genes<br />
contributing to the development <strong>of</strong> ASD we are in a position<br />
to develop animal models to understand the developmental<br />
consequences <strong>of</strong> alterations in these genes. One recurrent<br />
finding is that loss <strong>of</strong> one copy <strong>of</strong> SHANK3, either by copy<br />
number variation (CNV) or by mutation, leads to global<br />
developmental delay, frequently with an ASD. Methods: We<br />
have used gene-targeting methods to disrupt Shank3 in mice<br />
and have characterized these mice from biochemical,<br />
electrophysiological, neuropathological and behavioral<br />
standpoints. Results: Mice lacking one copy <strong>of</strong> Shank3<br />
develop normally and are born with Mendelian ratios.<br />
Developmental milestones are normal in the heterozygotes as<br />
determined by detailed observation and behavioral testing.<br />
The frequency <strong>of</strong> miniature excitatory postsynaptic currents is<br />
reduced in these mice indicating a deficit in spontaneous<br />
neurotransmitter release. Moreover, hippocampal long-term<br />
potentiation (LTP) is deficient, while long-term depression<br />
(LTD) is unchanged. Microscopic examination <strong>of</strong> synaptic<br />
spines demonstrates that the normal, stable modulation <strong>of</strong><br />
spine volume in response to LTP is not present in the<br />
heterozygous animals, although transient changes are detected<br />
Discussion: Our analyses support a role for abnormal synaptic<br />
development and function in at least some forms <strong>of</strong> ASDs.<br />
These studies lead to direct predictions in human studies and<br />
to potential new avenues for ASD therapeutics.<br />
O13.2 NARROWING THE CRITICAL DELETION<br />
REGION FOR AUTISM SPECTRUM DISORDERS IN<br />
CHROMOSOME 16P11.2<br />
A. Crepel* (1), W. De La Marche (2), J. Fryns (1), I. Noens<br />
(3), J. Steyaert (2), K. Devriendt (1), H. Peeters (1)<br />
1. Center for Human Genetics, University Hospital Leuven,<br />
Leuven, Belgium 2. Department for Child and Youth<br />
Psychiatry, University <strong>of</strong> Leuven, Leuven, Belgium<br />
3. Center for Parenting, Child Welfare and Disabilities,<br />
Department <strong>of</strong> <strong>Education</strong>al Sciences, University <strong>of</strong> Leuven,<br />
Leuven, Belgium<br />
* an.crepel@med.kuleuven.be<br />
One <strong>of</strong> the most common genomic disorders associated to<br />
autism to date is a ~600kb deletion containing 25 genes at<br />
chromosome 16p11.2. It was reported to occur in up to 1% <strong>of</strong><br />
autistic patients in 3 large autism studies and was recently<br />
studied in MR/MCA patients, extending the phenotype to<br />
other developmental disorders and speech disorders. The<br />
inheritance pattern is similar to that <strong>of</strong> other major effect<br />
variants implicated in complex disorders: the deletion is not<br />
limited to sporadic patients with de novo mutations, but may<br />
be inherited from unaffected parents. This microdeletion is<br />
typically ~600kb in size and flanked by segmental<br />
duplications, which explains its recurrent nature. Of the 25<br />
genes in this region, many represent good autism candidate<br />
genes based on expression pr<strong>of</strong>iles, pathway analysis and<br />
other available functional data. Although no firm association<br />
has been established for any one <strong>of</strong> these genes, mutation<br />
studies yielded suggestive evidence for the SEZ6L2 gene.<br />
We report the discovery <strong>of</strong> a smaller, 115kb deletion within<br />
the known 16p11.2 CNV in a 3 generation family with<br />
4 patients with autism and normal intelligence. Segregation<br />
was studied by independent psychiatric evaluation and<br />
collecting scores on the Social Responsiveness Scale (SRS) in<br />
9 family members. From these data we have evidence for<br />
segregation <strong>of</strong> the small deletion with autism or autistic traits<br />
in this family. We conclude that this observation narrows the<br />
critical deletion region for autism on chromosome 16p11.2 to<br />
only 5 genes.
O13.3 GENETIC MAPPING OF TEMPORAL MEMORY<br />
COMPONENTS IN MICE REVEALS A<br />
HOMOLOGOUS AUTISM LOCUS<br />
H. Bruining (1), O. Stiedl (2), F. Meye (1), E. Pjetri (1), H.<br />
Oppelaar (1), L. Nonkens (1), G. Ramakers (1), C. Fernandez<br />
(3), H. Swaab (4), H. van Lith (5), H. van Engeland (1), M.<br />
Kas (5)<br />
1. Rudolf Magnus Institute <strong>of</strong> Neurosciences, Department <strong>of</strong><br />
Psychiatry, University <strong>Medical</strong> Centre Utrecht, the<br />
Netherlands 2. Center for Neurogenomics and Cognitive<br />
Research, Neuroscience Campus Amsterdam, VU<br />
University Amsterdam, The Netherlands 3. Social, Genetic<br />
and Developmental Psychiatry Centre, Institute <strong>of</strong> Psychiatry,<br />
King's College London, London, United Kingdom<br />
4. University <strong>of</strong> Leiden, Department <strong>of</strong> Social Sciences, The<br />
Netherlands 5. Rudolf Magnus Institute <strong>of</strong> Neurosciences,<br />
Department <strong>of</strong> Neuroscience and Pharmacology University<br />
<strong>Medical</strong> Centre Utrecht, The Netherlands<br />
Chromosome substitution strains (CSSs) <strong>of</strong> mice are<br />
extremely useful to identify genetic factors underlying<br />
neurobiological mechanisms <strong>of</strong> complex behaviors. The<br />
current study mapped chromosomes affecting the regulation <strong>of</strong><br />
memory formation in a social discrimination (SD) task in 21<br />
strains <strong>of</strong> the CSS panel (C57BL/6J-Chr#A/NaJ). Selected<br />
CSSs with altered SD performance were tested in various<br />
hippocampus-dependent learning tasks, and long-term<br />
potentiation (LTP) was assessed as a measure <strong>of</strong> hippocampal<br />
plasticity. We identified particular CSSs with either<br />
impairment in short-term or long-term SD performance. For<br />
example, one CSS was unable to discriminate conspecifics at<br />
5-min training-test interval (TTI), but showed SD at 24 hr<br />
TTI. In contrast, another CSS showed SD after 5 min, but not<br />
after a TTI <strong>of</strong> 24 hr. These CSS-specific temporal<br />
performance differences were confirmed in object<br />
discrimination and fear conditioning. No differences were<br />
found in the Morris water maze when compared to C57BL/6J<br />
controls, indicating that spatial memory was not affected.<br />
Electrophysiological measurements in the hippocampus<br />
revealed an elevated threshold for LTP induction only in the<br />
CSS with long-term memory impairments. These findings<br />
indicate that temporal processes <strong>of</strong> memory formation can be<br />
dissected at the genetic, behavioral and electrophysiological<br />
level. Additional phenotypic characterization <strong>of</strong> specific<br />
performance differences (e.g., encoding and extinction <strong>of</strong><br />
memory) indicates a common genetic contribution <strong>of</strong><br />
short-term versus long-term memory components in both<br />
social and non-social discrimination capacity and fear<br />
conditioning. Interestingly, subsequent genetic mapping <strong>of</strong><br />
these social and non-social memory phenotypes revealed a<br />
mouse QTL-interval homologous to an autism CNV locus.<br />
O13.4 DISSECTING THE CLINICAL<br />
HETEROGENEITY OF AUTISM SPECTRUM<br />
DISORDERS THROUGH DEFINED GENOTYPES.<br />
H. Bruining (1), L. de Sonneville (2), H. Swaab (2), M. de<br />
Jonge (1), M. Kas (3), H. van Engeland (1), J. Vorstman (1)<br />
1. Rudolf Magnus Institute <strong>of</strong> Neuroscience, Department <strong>of</strong><br />
Children and Adolescent Psychiatry,<br />
University <strong>Medical</strong> Centre Utrecht, the Netherlands 2.<br />
Institute <strong>of</strong> Social Sciences, Department <strong>of</strong> Developmental<br />
disorders, University <strong>of</strong> Leiden, the Netherlands 3. Rudolf<br />
Magnus Institute <strong>of</strong> Neuroscience, Department <strong>of</strong><br />
Neuroscience and Pharmacology, University <strong>Medical</strong> Centre<br />
Utrecht, Utrecht, the Netherlands<br />
The increasing evidence for a causative role <strong>of</strong> genetic<br />
variants with large effect in autism spectrum disorders (ASD)<br />
raises the question whether specific genetic subtypes lead to<br />
ASD phenotypes that are distinguishable from the remainder<br />
<strong>of</strong> the ASD population. We examined autistic symptoms in<br />
two samples with a genetic variant previously shown to cause<br />
ASD: patients with the 22q11.2 deletion (22q11DS) or with<br />
Klinefelter syndrome (KS). These assessments aim to provide<br />
pro<strong>of</strong>-<strong>of</strong>-concept <strong>of</strong> the existence <strong>of</strong> genotype-specific ASD<br />
phenotypes. ASD symptom pr<strong>of</strong>iles in 22q11DS (n=90) and<br />
KS (n=51) were statistically compared at two different levels:<br />
1) with a large group <strong>of</strong> idiopathic ASD patients (n=371) and<br />
2) with the non-ASD subjects among the 22q11DS and KS<br />
groups. Discriminant analyses <strong>of</strong> the autistic symptom pr<strong>of</strong>iles<br />
clearly showed that autistic phenotypes in the two subgroups<br />
could be delineated from the idiopathic ASD. Furthermore, the<br />
two subgroups (22q11DS and KS) displayed enhanced<br />
symptom homogeneity compared to the idiopathic ASD<br />
patients.To our knowledge, this is the first reversed<br />
phenotyping approach that provides robust evidence for the<br />
existence <strong>of</strong> genetic subtype-specific ASD phenotypes within<br />
the ASD population. We propose that evidence for the<br />
existence <strong>of</strong> a phenotype related to a specific genetic variant is<br />
provided when 1) the ASD phenotypes <strong>of</strong> a genetic subtype<br />
can be delineated from the remainder <strong>of</strong> the ASD population<br />
based on ASD symptomatology, and 2) the variance <strong>of</strong> ASD<br />
symptoms within a genetic subtype is significantly smaller in<br />
comparison to the variance <strong>of</strong> the remainder <strong>of</strong> the ASD<br />
population.
O13.5 THE EFFECT OF CHR16P11.2<br />
MICRODELETIONS AND MICRODUPLICATIONS<br />
ON GENE EXPRESSION IN AUTISM SPECTRUM<br />
DISORDERS AND SCHIZOPHRENIA<br />
M. Kusenda, V. Vacic , S. Yoon, J. Sebat<br />
* Kusenda@cshl.edu<br />
The number <strong>of</strong> rare variants found to be associated with<br />
multiple psychiatric disorders is growing. One such locus is a<br />
recurrent ~600kb copy number variant (CNV) at 16p11.2,<br />
occurring in approximately 1% <strong>of</strong> autism and 0.3% <strong>of</strong><br />
schizophrenia cases, as compared to 0.01% <strong>of</strong> the general<br />
population. We hypothesize that one or more <strong>of</strong> the 25 genes<br />
at this locus contribute to the neurodevelopmental phenotype<br />
observed in patients with psychiatric disorders. To determine<br />
how gene function is altered by this CNV, we analyzed<br />
genome wide expression data from Epstein Barr Virus (EBV)<br />
transformed Lymphoblast cell lines (LCL), <strong>of</strong> patients with<br />
autism or schizophrenia who have a de novo or inherited<br />
16p11.2. Using RNA expression pr<strong>of</strong>iling by Affymetrix<br />
Human Genome U133 Plus 2.0 chip, we examined differential<br />
cis and trans gene expression in individuals with 1, 2, or 3<br />
copies <strong>of</strong> the genomic region (6, 19, 16 respectively). Our<br />
results highlighted 140 genes located both within and outside<br />
<strong>of</strong> the mutation which expression correlates with genotype.<br />
Some <strong>of</strong> these genes play a role in development while others<br />
have been associated with psychiatric disorders. We are<br />
currently analyzing our list <strong>of</strong> 140 dysregulated genes to<br />
identify pathways and functions relevant to<br />
neurodevelopment, and psychiatric disorders. Data generated<br />
by this study will give insight into dosage sensitive genes<br />
within the risk variant, and may help pinpoint genes which are<br />
relevant to pathology <strong>of</strong> the psychiatric disorders associated<br />
with this region.<br />
O14 EPIGENETICS<br />
O14.1 INVESTIGATING GENOME-WIDE<br />
EPIGENETIC DIFFERENCES IN TWINS<br />
DISCORDANT FOR ALCOHOL DEPENDENCE<br />
C. Nymberg* (1), A. Lourdusamy (1), J. Mill (1), S.<br />
Desrivieres (1), R. Rose (2), J. Kaprio (3), D. Dick (4), G.<br />
Schumann (5)<br />
1. Social, Genetic and Developmental Psychiatry Centre 2.<br />
University <strong>of</strong> Indiana 3. University <strong>of</strong> Helsinki 4. Virginia<br />
Institute for Psychiatric and Behavioral Genetics 5. Social,<br />
Genetic and Developmental Psychiatry Centre<br />
* charlotte.nymberg@kcl.ac.uk<br />
Alcohol dependence (AD) is the result <strong>of</strong> interacting<br />
environmental and genetic factors. However, to date<br />
researchers have been unable to identify specific causal<br />
genetic or environmental risk factors underlying the disorder.<br />
Recent studies suggest that DNA methylation, or the silencing<br />
<strong>of</strong> gene expression, may play an important role for<br />
understanding psychiatric disorders such as AD. At least two<br />
factors influence DNA methylation: 1) environmental factors<br />
may produce epigenetic marks which speed up the process <strong>of</strong><br />
adaptation to a changing and less predictable environment; 2)<br />
genes may encode enzymes and proteins that help construct<br />
and maintain methylation-patterns. To control for the genetic<br />
components underlying DNA methylation, the current study<br />
adopted a twin design. The study aims to investigate DNA<br />
methylation patterns in blood samples from 36 monozygotic<br />
twins, diagnostically discordant for AD. To date psychiatric<br />
research has mainly taken a candidate gene approach to the<br />
investigation <strong>of</strong> DNA methylation. However, this focus may<br />
be too constrained. This study takes a genome-wide approach<br />
to investigating DNA methylation using a methylation<br />
sensitive array with 385.000 features covering promoter<br />
regions and CpG islands. Although the results are preliminary,<br />
they suggest that methylation differences related to psychiatric<br />
disorders such as alcohol dependence are worthy <strong>of</strong> further<br />
study.
O14.3 IDENTIFICATION OF IMPRINTED GENES<br />
CONTRIBUTING TO SPECIFIC BRAIN REGIONS<br />
USING HIGH THROUGHPUT SEQUENCING<br />
C. Barr (1), K. Wigg (1), E. Dempster (1), L. Gomez (1), Y.<br />
Feng (1), P. Monnier (1), R. Logan (1), J. Eubank (1)<br />
1. The Toronto Western Research Institute<br />
Current estimates suggest that there are around 100 imprinted<br />
genes, but this number may be as high as 600, with some<br />
imprinted in a tissue/cell type specific pattern and little is<br />
known <strong>of</strong> these genes. We followed up evidence that suggests<br />
imprinted genes influence the development <strong>of</strong> specific brain<br />
regions. We predicted that key genes expressed from the<br />
paternal genome will contribute to the development <strong>of</strong> the<br />
hypothalamus while key maternally expressed genes will<br />
influence the development <strong>of</strong> the neocortex. We developed a<br />
strategy using crosses and reverse crosses <strong>of</strong> mouse strains to<br />
determine the parent-<strong>of</strong>-origin <strong>of</strong> expressed genes. We used<br />
next generation sequencing <strong>of</strong> mRNA tags from the cortex and<br />
the thalamus/hypothalamus dissected from the F1 to identity<br />
tags differing in expression between the crosses. We<br />
identified tags that were differentially expressed between the<br />
crosses showing the same pattern <strong>of</strong> parent-<strong>of</strong>-origin effect in<br />
both brain regions including known imprinted genes (Meg3,<br />
Snrpn, Rian) and genes with no prior evidence for<br />
parent-<strong>of</strong>-origin effects (Pctk3, Klf10). We also observed<br />
genes that displayed a parent <strong>of</strong> origin effect in only one brain<br />
region with biallelic expression in the other region (Pon2,<br />
Itgb1bp1). Our results show the feasibility <strong>of</strong> using next<br />
generation sequencing <strong>of</strong> RNA as a genome-wide approach to<br />
identify novel imprinted genes as well as to identify tissue<br />
specific effects. The understanding <strong>of</strong> parent-<strong>of</strong>-origin effects<br />
in specific brain regions will make a significant contribution to<br />
our understanding <strong>of</strong> the role <strong>of</strong> imprinting in brain<br />
development and function.<br />
O14.4 EPIGENETIC DYSREGULATION OF HTR2A IN<br />
POST-MORTEM BRAIN OF PATIENTS WITH<br />
SCHIZOPHRENIA AND BIPOLAR DISORDER<br />
H. Mostafavi-Abdolmaleky (1), S. Yaqubi (2), P.<br />
Papageorgis (2), S. Thiagalingam (3)<br />
1. Boston University, Department <strong>of</strong> Medicine and Iran<br />
University <strong>of</strong> <strong>Medical</strong> Sciences, Department <strong>of</strong> Psychiatry &<br />
Mental Health Research Center 2. Boston University,<br />
Department <strong>of</strong> Medicine, Genetics Programs 3. Boston<br />
University, Department <strong>of</strong> Medicine<br />
Introduction: Pharmacologic and genetic studies provided<br />
evidence for the involvement <strong>of</strong> HTR2A in schizophrenia<br />
(SCZ) and bipolar disorder (BD) pathogenesis. However,<br />
HTR2A polymorphisms have minimal effect in the<br />
pathogenesis <strong>of</strong> these diseases. Hypothesizing that epigenetic<br />
dysregulation <strong>of</strong> 5HTR2A may have a role in SCZ and BD we<br />
analyzed promoter DNA methylation <strong>of</strong> HTR2A in<br />
post-mortem brains. Method:DNA derived from dorsolateral<br />
frontal cortex <strong>of</strong> patients with SCZ and BD and normal<br />
controls (each 35) obtained from the Stanley <strong>Medical</strong><br />
Research Institute. HTR2A polymorphisms was determined<br />
using enzymatic restriction <strong>of</strong> PCR product. qRT-PCR was<br />
used to quantify gene expression level and bisulfite<br />
sequencing to assess DNA methylation level <strong>of</strong> CpGs at<br />
HTR2A promoter. Results: We found strong evidence for: 1)<br />
epigenetic fine tuning <strong>of</strong> HTR2A; 2) inverse correlation<br />
between promoter DNA methylation and gene expression<br />
levels; 3) higher expression <strong>of</strong> HTR2A in individuals carrying<br />
the G allele <strong>of</strong> -1438A/G polymorphism; 4) hypo-expression<br />
<strong>of</strong> HTR2A in SCZ; 5) DNA hypermethylation <strong>of</strong> cytosine<br />
located before -1438A/G polymorphic site (determined in<br />
individuals with the GG genotype) in SCZ and BD versus the<br />
controls; 6) correlation between methylation level <strong>of</strong> this<br />
cytosine and neighboring cytosines followed by guanine and<br />
several other cytosines followed by adenine which their<br />
methylation levels are inversely correlated with gene<br />
expression level. Conclusion: Aberrant DNA methylation <strong>of</strong><br />
CpG and CpA sites <strong>of</strong> the HTR2A promoter region may<br />
contribute to SCZ and BD pathogenesis, particularly in<br />
individuals carrying the G allele <strong>of</strong> -1438A/G polymorphism.
O14.5 ALLELIC SKEWING OF DNA METHYLATION<br />
IS WIDESPREAD ACROSS THE GENOME<br />
L. Schalkwyk (1), E. Meaburn (1), R. Smith (1), E. Dempster<br />
(1), R. Plomin (1), J. Mill* (1)<br />
1. Institute <strong>of</strong> Psychiatry, King's College London<br />
* j.mill@iop.kcl.ac.uk<br />
DNA methylation is a key epigenetic mechanism involved in<br />
the developmental regulation <strong>of</strong> gene expression. Across the<br />
majority <strong>of</strong> the genome, DNA methylation is assumed to be<br />
complementary on both alleles, although there are several<br />
exceptions, most notably in regions subject to genomic<br />
imprinting. Although mounting evidence supports the notion<br />
that differential allelic expression is widespread, the full extent<br />
<strong>of</strong> allele-specific DNA methylation (ASM) in the human<br />
genome has not been assessed. We present the first large-scale<br />
survey <strong>of</strong> the degree <strong>of</strong> allelic skewing <strong>of</strong> DNA methylation<br />
with the aim <strong>of</strong> identifying novel differentially methylated<br />
regions (DMRs) associated with either genomic imprinting or<br />
DNA sequence variation. We used high-resolution<br />
microarrays to quantitatively assess changes in normalized<br />
relative allele signals (RAS) for single nucleotide<br />
polymorphisms (SNPs) in amplicons covering 7.6% <strong>of</strong> the<br />
human genome following cleavage with a cocktail <strong>of</strong><br />
methylation-sensitive restriction enzymes (MSREs). Our<br />
approach detected clear examples <strong>of</strong> ASM in the vicinity <strong>of</strong><br />
known imprinted loci, highlighting the validity <strong>of</strong> the method,<br />
and selected findings were independently verified using<br />
bisulfite-mapping and gene expression analyses. In total 2,705<br />
(1.5%) <strong>of</strong> our informative SNPs demonstrated an average RAS<br />
change >0.10 following MSRE digestion. These data suggest<br />
that >35,000 such sites exist across the genome, and that some<br />
degree <strong>of</strong> ASM is a widespread phenomenon.<br />
O15 GENE ENVIRONMENT<br />
INTERACTIONS<br />
O15.1 THE INTERACTION OF VARIATIONS IN THE<br />
FKBP5 GENE AND ADVERSE LIFE EVENTS IN<br />
PREDICTING THE FIRST ONSET OF DEPRESSION<br />
DURING A TEN-YEAR FOLLOW-UP<br />
P. Zimmermann* (1), T. Brueckl (1), H. Pfister (1), E.<br />
Binder (1), M. Uhr (1), R. Lieb (2), F. Holsboer (1), M. Ising<br />
(1)<br />
1. Max Planck Institute <strong>of</strong> Psychiatry, Germany 2. University<br />
<strong>of</strong> Basel, Switzerland<br />
* pzimmer@mpipsykl.mpg.de<br />
Background: The co-chaperone FKBP5 <strong>of</strong> hsp-90 is an<br />
important modulator <strong>of</strong> glucocorticoid receptor (GR) function,<br />
the main receptor <strong>of</strong> the stress hormone system. By<br />
modulating this system, FKBP5 is in a key position to<br />
modulate gene-environment interactions (GxE) critical for the<br />
pathogenesis <strong>of</strong> major depression. In fact, associations<br />
between single nucleotide polymorphisms (SNPs) in the<br />
FKBP5 gene and susceptibility to mood disorders as well as<br />
interaction with early trauma to predict post traumatic stress<br />
disorder (PTSD) have been reported (Binder et al., 2004;<br />
2008). Aim:To explore GxE between variations in the FKBP5<br />
gene and adverse (separation and traumatic) events in<br />
predicting the first onset <strong>of</strong> a major depressive episode (MDE)<br />
in a ten-years prospective-longitudinal community survey.<br />
Methods:Analyses are based on 884 Caucasians (14-24 years<br />
at baseline) without baseline MDE who completed the<br />
ten-year follow-up. Data were assessed with the M-CIDI<br />
according to its DSM-IV algorithms. Five SNPs within the<br />
FKBP5 gene were selected for genotyping according to the<br />
results <strong>of</strong> previous studies (Binder et al., 2004, 2008; Ising et<br />
al., 2008). Results:While we did not observe genetic main<br />
effects, we found interactions between the five SNPs and<br />
traumatic (but not separation) events with the strongest effect<br />
for severe trauma (pcorrected: 1.8x10-3 to
O15.2 INTERACTION BETWEEN CHILDHOOD<br />
ADVERSITY AND COMT VAL158MET<br />
POLYMORPHISM IN PSYCHOTIC DISORDER<br />
H. Fisher* (1), C. Morgan (1), S. Luzi (1), M. Di Forti (1), P.<br />
Dazzan (1), C. Pariante (1), D. Collier (1), K. Aitchison (1), A.<br />
David (1), R. Murray (1), P. McGuffin (1)<br />
1. Institute <strong>of</strong> Psychiatry, King's College London<br />
* helen.fisher@iop.kcl.ac.uk<br />
Childhood adversity has frequently been associated with<br />
psychosis but not all exposed individuals develop this disorder<br />
suggesting that some may have a genetic vulnerability. The<br />
valine (Val) allele <strong>of</strong> the catechol-O-methyltransferase<br />
(COMT) Val158Met polymorphism has been linked to<br />
psychosis in those exposed to stress in adulthood. Therefore,<br />
we predicted this allele would also interact with childhood<br />
adversity in the development <strong>of</strong> clinically-relevant psychotic<br />
disorders. In a cross-sectional study, 161 first-presentation<br />
psychosis patients and 100 unaffected controls completed the<br />
Childhood Experience <strong>of</strong> Care and Abuse Questionnaire<br />
(CECA.Q) to determine experience <strong>of</strong> at least one adverse<br />
event before 17 years <strong>of</strong> age (physical or sexual abuse,<br />
parental separation or death, taken into care, disrupted living<br />
arrangements). Blood samples were genotyped for the COMT<br />
Val158Met polymorphism using polymerase chain reaction.<br />
Reported exposure to any adversity in childhood was<br />
significantly associated with being a psychosis case in this<br />
sample (unadjusted OR=2.80, 95% CI 1.66-4.74, p
O15.4 SEARCHING FOR GENES WITH<br />
ENVIRONMENTAL INTERACTION IN COMPLEX<br />
DISORDERS<br />
K. Merikangas*<br />
*merikank@mail.nih.gov<br />
O16 ALCOHOL & SUBSTANCE ABUSE<br />
O16.1 ASSOCIATION OF SUBSTANCE USE<br />
DISORDERS WITH CHILDHOOD TRAUMA BUT NOT<br />
AFRICAN GENETIC HERITAGE IN AN AFRICAN<br />
AMERICAN COHORT<br />
F. Ducci* (1), A. Roy (2), P. Shen (3), Q. Yuan (3), N. Yuan<br />
(4), C. Hodgkinson (3), L. Goldman (5), D. Goldman (3)<br />
1. Institute <strong>of</strong> Psychiatry, Kings College, London, UK<br />
2. The Social, Genetic, and Developmental Psychiatry Centre,<br />
Division <strong>of</strong> Psychological Medicine, Institute <strong>of</strong> Psychiatry;<br />
the Psychiatry Service, Department <strong>of</strong> Veterans Affairs, New<br />
Jersey VA 3. Laboratory <strong>of</strong> Neurogenetics, National Institute<br />
on Alcohol Abuse and Alcoholism, Bethesda, Md 4. Mel and<br />
Enid Zuckerman College <strong>of</strong> Public Health, University <strong>of</strong><br />
Arizona, Tucson 5. Department <strong>of</strong> Environmental Health<br />
Sciences, Johns Hopkins Bloomberg School <strong>of</strong> Public Health,<br />
Baltimore<br />
*francesca.ducci@kcl.ac.uk<br />
Objective: Genetic variation influences differential<br />
vulnerability to addiction within populations. However, it<br />
remains unclear whether differences in frequencies <strong>of</strong><br />
vulnerability alleles contribute to disparities between<br />
populations and to what extent ancestry correlates with<br />
differential exposure to environmental risk factors, including<br />
poverty and trauma. Method: The authors used 186<br />
ancestry-informative markers to measure African ancestry in<br />
407 addicts and 457 comparison subjects self-identified as<br />
African Americans. The reference group was 1,051<br />
individuals from the Human Genome Diversity Cell Line<br />
Panel, which includes 51 diverse populations representing<br />
most worldwide genetic diversity. Results: African Americans<br />
varied in degrees <strong>of</strong> African, European, Middle Eastern, and<br />
Central Asian genetic heritage. The overall level <strong>of</strong> African<br />
ancestry was actually smaller among cocaine, opiate, and<br />
alcohol addicts (proportion=0.76–0.78) than nonaddicted<br />
African American comparison subjects (proportion=0.81).<br />
African ancestry was associated with living in impoverished<br />
neighborhoods, a factor previously associated with risk. There<br />
was no association between African ancestry and exposure to<br />
childhood abuse or neglect, a factor that strongly predicted all<br />
types <strong>of</strong> addictions. Conclusions: These results suggest that<br />
African genetic heritage does not increase the likelihood <strong>of</strong><br />
genetic risk for addictions. They highlight the complex<br />
interrelation between genetic ancestry and social, economic,<br />
and environmental conditions and the strong relation <strong>of</strong> those<br />
factors to addiction. Studies <strong>of</strong> epidemiological samples<br />
characterized for genetic ancestry and social, psychological,<br />
demographic, economic, cultural, and historical factors are<br />
needed to better disentangle the effects <strong>of</strong> genetic and<br />
environmental factors underlying interpopulation differences<br />
in vulnerability to addiction and other health disparities.
O16.2 ASSOCIATIONS OF DRD1-D5, SLC18A2,<br />
SLC6A3, DDC, AND TH WITH ALCOHOL<br />
DEPENDENCE (AD) AND RELATED DISORDERS IN<br />
THE IRISH AFFECTED SIB PAIR STUDY OF<br />
ALCOHOL DEPENDENCE (IASPSAD)<br />
L. Hack* (1), G. Kalsi (1), F. Aliev (1), P. Kuo (2), C.<br />
Prescott (3), D. Patterson (4), D. Walsh (5), D. Dick (1), B.<br />
Riley (1), K. Kendler (1)<br />
1. Virginia Institute for Psychiatric and Behavioral Genetics,<br />
Department <strong>of</strong> Psychiatry, Virginia Commonwealth<br />
University, Richmond, VA, USA 2. Institute <strong>of</strong> Clinical<br />
Medicine, College <strong>of</strong> Medicine, National Cheng Kung<br />
University, Tainan, Taiwan 3. Department <strong>of</strong> Psychology,<br />
University <strong>of</strong> Southern California, Los Angeles, CA, USA<br />
4. Shaftesbury Square Hospital, Belfast, Northern Ireland,<br />
United Kingdom 5. Health Research Board, Dublin, Ireland<br />
* hacklm@vcu.edu<br />
The mesocorticolimbic dopaminergic system is central to the<br />
reward pathway. As a result, variation in dopamine genes may<br />
contribute to liability for AD and related disorders. We<br />
examined 10 dopamine genes (DRD1-D5, SLC18A2,<br />
SLC6A3, DDC, TH and COMT) for association with AD and<br />
alcohol-related traits in PLINK 1.05. The sample included 575<br />
independent cases selected from the IASPSAD sample and<br />
530 ethnically matched and screened controls. After data<br />
cleaning, 101 SNPs were available for analysis. Only SNPs<br />
surviving 5000 gene-based permutations are reported here. We<br />
reasoned that gene-based correction was a sufficiently<br />
conservative correction method because all selected genes<br />
have a priori evidence <strong>of</strong> association with AD and/or related<br />
phenotypes. For the dichotomous trait AD, we observed the<br />
strongest signal within DRD4 (rs12280580: P=0.003;<br />
OR=1.33) and a nominal signal within the dopamine<br />
transporter, SLC6A3 (rs27048: P=0.04; OR=0.83). Analysis<br />
<strong>of</strong> the quantitative alcohol-related traits (age at onset, initial<br />
sensitivity, tolerance, max24, and withdrawal) yielded<br />
association with initial sensitivity and DRD3 (p=0.002),<br />
withdrawal and DRD5 (p=0.002), and weaker associations<br />
with other traits. Because additional evidence indicates that<br />
polymorphisms in dopamine genes contribute to other<br />
externalizing phenotypes, we conducted secondary association<br />
analyses on 6 <strong>of</strong> these traits, including symptoms for alcohol<br />
dependence, antisocial personality disorder, attention<br />
deficit/hyperactivity disorder, conduct disorder, drug<br />
dependence, and scores for novelty seeking. We found that 7<br />
DA genes were associated with one or more externalizing<br />
phenotypes. Our study provides evidence that variation in<br />
dopamine genes contributes to AD as well as a range <strong>of</strong><br />
externalizing traits.<br />
O16.3 SPECIFIC AND NON-SPECIFIC GENETIC RISK<br />
FACTORS FOR ALCOHOL USE: ANALYSES OF<br />
DEVELOPMENTAL TRENDS AND<br />
GENE-ENVIRONMENT INTERACTIONS<br />
K. Kendler* (1), C. Prescott (2), D. Dick (1)<br />
1. Virginia Institute for Psychiatric and Behavioral Genetics 2.<br />
University <strong>of</strong> Southern California<br />
* Kendler@vcu.edu<br />
Although we know that the risk for alcohol dependence (AD)<br />
is influenced by genetic factors both specific to alcohol and<br />
for more general externalizing traits, we know little about how<br />
these two classes <strong>of</strong> genetic risk act during development.<br />
Furthermore, while environmental exposures can moderate the<br />
impact <strong>of</strong> genetic risk factors on alcohol consumption (AC),<br />
such studies have typically explored one environmental<br />
exposure during a single developmental period. Use life-event<br />
history retrospective data from 1,796 male twins from the<br />
Virginia Twin Register, we found that non-specific genetic<br />
risk for externalizing disorders impacts maximally on AC at<br />
ages 15-17 and then declines in importance. By contrast,<br />
specific genetic risks for AD have maximal and more enduring<br />
effects on AC starting at ages 18-21. We also find interactions<br />
between these genetic risks and 5 key environmental variables<br />
(parental monitoring, peer deviance, alcohol availability,<br />
prosocial behaviors and parental bonding) early in<br />
adolescence. As individuals age, the main effects <strong>of</strong> these<br />
environments on AC become more prominent while their<br />
interactions with genetic effects diminish. Genetic effects on<br />
AC appear to be much more environmentally sensitive at early<br />
developmental stages. Finally, in 5,072 male and female adult<br />
drinking twins from the Virginia Registry, we examined the<br />
relationship between genetic risk for a common factor made<br />
up <strong>of</strong> four measures <strong>of</strong> alcohol consumption during the period<br />
<strong>of</strong> lifetime heaviest drinking (frequency, quantity, maximum<br />
single-day consumption and frequency <strong>of</strong> drinking to<br />
intoxication) and AD. A structural twin model produced very<br />
high genetic correlations between the common factor and AD<br />
(+0.88 in females and +0.91 in males). These quantitative<br />
indices <strong>of</strong> alcohol consumption accurately reflected the<br />
genetic risk for AD.
O16.4 RESEQUENCING OF NICOTINIC RECEPTOR<br />
GENES AND ANALYSIS OF RARE AND COMMON<br />
VARIATIONS WITH NICOTINE DEPENDENCE<br />
J. Wessel* (1), D. Hinds (2), M. Kennemer (2), S. Pitts (2), R.<br />
Stokowski (2), D. Ballinger (2), J. McClure (3), L. Jack (1), J.<br />
Hardin (1), G. Swan (1), A. Bergen (1)<br />
1. SRI International 2. Perlegen Sciences 3. Group Health<br />
*jennifer.wessel@sri.com<br />
Genome-wide association studies have identified a few<br />
common single nucleotide polymorphisms (SNPs) associated<br />
with nicotine dependence but only a small portion <strong>of</strong> the<br />
heritability can be explained. We set out to determine if rare<br />
and common SNPs identified from sequencing <strong>of</strong> nicotinic<br />
receptor genes in a large sample <strong>of</strong> individuals could further<br />
explain the genetic basis <strong>of</strong> nicotine dependence. Exons <strong>of</strong> ten<br />
nicotinic receptor genes (CHRNA2-7, CHRNB1-4) were<br />
resequenced with 454 technology using DNA from saliva in<br />
448 European-Americans <strong>of</strong> a smoking cessation trial. We<br />
tested for associations <strong>of</strong> common and rare variations with the<br />
Fagerström Test <strong>of</strong> Nicotine Dependence (FTND) using<br />
standard linear and logistic regression methods for common<br />
SNPs and recently developed methods for rare SNPs, the<br />
cohort allelic sum test (CAST), the weighted sum statistic<br />
(WSS), and the multivariate distance matrix regression<br />
(MDMR) method. 166 SNPs were identified, 16.3% had<br />
reduced completion rate and were excluded from analyses,<br />
74.1% had minor allele frequencies .05), but the<br />
MDMR showed significant associations with all CHRNB2<br />
SNPs by allele sharing (p=0.004) or weighted allele frequency<br />
(p=0.003). CHRNB2 common and rare variants exhibited<br />
significant association to FTND in this sample.<br />
O17 DEMENTIA AND MEMORY<br />
O17.1 GENOME-WIDE ASSOCIATION STUDY OF<br />
ALZHEIMER'S DISEASE<br />
D. Harold* (1), R. Abraham (1), P. Hollingworth (1), R. Sims<br />
(1), A. Gerrish (1), M. Hamshere (1), S. Lovestone (2), C.<br />
Brayne (3), D. Rubinsztein (3), M. Gill (4), B. Lawlor (4), K.<br />
Morgan (5), P. Passmore (6), M. Nöthen (7), W. Maier (7), G.<br />
Livingston (8), N. Bass (8), A. Goate (9), S. Younkin (10), A.<br />
Al-Chalabi (11), R. Gwilliam (12), P. Deloukas (12), P.<br />
Holmans (1), M. O'Donovan (1), M. Owen (1), J. Williams (1)<br />
1. Cardiff University 2. Institute <strong>of</strong> Psychiatry 3. University <strong>of</strong><br />
Cambridge 4. Trinity College Dublin 5. University <strong>of</strong><br />
Nottingham 6. Queen's University Belfast 7 University <strong>of</strong><br />
Bonn 8. University College London 9. Washington University<br />
10. Mayo Clinic 11. Kings College London 12. Sanger<br />
Institute<br />
* wpcdhh@cf.ac.uk<br />
Alzheimer’s disease (AD) is the most common form <strong>of</strong><br />
dementia and is highly heritable but genetically complex.<br />
Neuropathologically, the disease is characterised by<br />
extracellular senile plaques containing β-amyloid and<br />
intracellular neur<strong>of</strong>ibrillary tangles containing<br />
hyperphosphorylated τ protein. Mutations <strong>of</strong> the amyloid<br />
precursor protein (APP) gene and the presenilin 1 and 2 genes<br />
(PSEN1, PSEN2) cause rare, Mendelian forms <strong>of</strong> the disease<br />
usually with an early-onset. However, in the more common<br />
form <strong>of</strong> AD, only apolipoprotein E (APOE) has been<br />
established unequivocally as a susceptibility gene. Aiming to<br />
identify novel AD loci, we undertook a two-stage<br />
genome-wide association study <strong>of</strong> Alzheimer’s disease<br />
involving over 16,000 individuals genotyped on Illumina<br />
platforms. In stage 1 (3,941 cases and 7,848 controls), we<br />
replicated the established association with the APOE locus<br />
and observed genome-wide significant association with SNPs<br />
at two novel independent loci (p
O17.2 IMPACT OF ALCOHOL ABUSE ON<br />
ALZHEIMER DISEASE<br />
M. Slifer (1), M. Cuccaro (1), J. Haines (2), M. Pericak-Vance<br />
(1)<br />
1. MIHG 2. Vanderbilt University<br />
Background: Efforts to understand the Alzheimer Disease<br />
(AD) phenotype have identified cardiovascular,<br />
neuropsychiatric, and lifestyle factors that are associated with<br />
the onset and course <strong>of</strong> AD. The relationship between alcohol<br />
use and cognitive impairment is controversial. While generally<br />
believed to be deleterious given its independent role in<br />
promoting cognitive decline, several studies have found<br />
moderate alcohol consumption to be protective.<br />
Understanding the impact <strong>of</strong> history <strong>of</strong> excessive alcohol use<br />
on individuals at risk for AD is critical given that alcohol use<br />
is common in the aging population. Methods: This<br />
retrospective study examined the relationship between remote<br />
history <strong>of</strong> alcohol substance abuse (SA) and age <strong>of</strong> onset in<br />
LOAD. These results were further analyzed as a function <strong>of</strong><br />
gender. Based on chart review <strong>of</strong> 294 cases, we identified 65<br />
unrelated participants with LOAD and a remote history <strong>of</strong> SA.<br />
History <strong>of</strong> SA was based on medical history data. All<br />
participants were in sustained remission. All participants had<br />
history, clinical presentation, and imaging (if available)<br />
consistent with classic AD; all are classified as probable AD.<br />
Age at onset (AAO) was defined on the basis <strong>of</strong> chart review<br />
<strong>of</strong> age at functional impairment. Results: Individuals with a<br />
history <strong>of</strong> SA and LOAD demonstrate a statistically<br />
significant earlier age <strong>of</strong> onset (69.9y, SD=6.8y) vs. those<br />
with LOAD and no history <strong>of</strong> SA (73.3y, SD=6.6y).<br />
Sex-stratified analysis revealed that males with LOAD were<br />
significantly more likely to have a history <strong>of</strong> SA vs. females<br />
(odds ratio=4.5 (95% CI 2.4-8.3)). Depression was also more<br />
prevalent among those with a history SA (69% vs. 40%).<br />
There was no statistically significant difference in APOE<br />
genotypes, or allele frquencies between those with SA and<br />
LOAD versus those with LOAD alone. Conclusons: These<br />
findings suggest that history <strong>of</strong> alcohol abuse may result in an<br />
earlier age <strong>of</strong> onset for individuals at risk for developing<br />
LOAD. There is no evidence that alcohol use results in AD<br />
pathophysiology. However, alcohol abuse may exacerbate a<br />
developing pattern <strong>of</strong> cognitive impairment in AD or<br />
compromise/reduce cognitive reserves resulting in an earlier<br />
onset. Given the tremendous health care costs associated with<br />
AD, a widely cited objective is to delay onset <strong>of</strong> disease.<br />
Factors which accelerate the course <strong>of</strong> the illness have the<br />
potential to result in significant economic burden. Similarly,<br />
quality <strong>of</strong> life for individuals and families is equally<br />
compromised with an earlier onset.<br />
O17.3 CNV GWAS FINDS RARE DELETIONS IN<br />
THYROID HORMONE GENE ASSOCIATED WITH<br />
ALZHEIMER’S DISEASE<br />
C. Lambert* (1), G. Linse Peterson (1)<br />
1. Golden Helix, Inc.<br />
* lambert@goldenhelix.com<br />
In numerous studies <strong>of</strong> Alzheimer’s disease (AD), thyroid<br />
hormones and the genes that regulate them have been<br />
associated with an increased risk <strong>of</strong> the disease. However,<br />
few, if any, genome-wide Copy Number Variation (CNV)<br />
studies have found associations with either rare or common<br />
variants for AD. The presence <strong>of</strong> rare CNVs has been<br />
suggested in the increased risk <strong>of</strong> schizophrenia and other<br />
psychiatric disorders, and we hypothesize CNVs could be<br />
associated with increased risk <strong>of</strong> AD as well. To this end, we<br />
performed a genome-wide association test to identify CNVs<br />
using log ratio data from an Affymetrix 500k array. The<br />
cohort consisted <strong>of</strong> approximately 1600 Caucasians, with<br />
roughly equal numbers <strong>of</strong> cases and controls (the average age<br />
<strong>of</strong> onset was 72 years). While no common CNVs appeared to<br />
be associated with AD, there were three femalecases with<br />
large overlapping deletions (116 kilobases to 230 kilobases),<br />
where the consensus region was 65 kilobases and spanned<br />
approximately one-third <strong>of</strong> a thyroid hormone gene, with the<br />
two larger deletions spanning the entire gene. The deletion<br />
did not exist in any controls or in any males. Studies have<br />
reported a link between thyroid hormones and AD,<br />
particularly in women, further supporting this finding.<br />
Replication studies are underway to confirm the variant’s<br />
association with AD; results will be reported at this meeting.
O17.4 COMMON VARIANTS ASSOCIATED WITH<br />
BRAIN ATROPHY IN ALZHEIMER’S DISEASE<br />
PATIENTS<br />
S. Furney (1), A. Simmons (1), K. Lunnon (1), G. Breen (1),<br />
A. Hodges (1), S. Lovestone (1)<br />
1. NIHR Biomedical Research Centre for Mental Health,<br />
Institute <strong>of</strong> Psychiatry, King’s College London.<br />
Alzheimer’s disease is the most common form <strong>of</strong> dementia<br />
and affects more than 400,000 people in the U.K. In this study<br />
we have tested the hypothesis that common genetic variation<br />
has an affect on brain atrophy in Alzheimer’s disease patients<br />
from the AddNeuroMed project. Over 300 European<br />
individuals were categorised as Control, Mild Cognitive<br />
Impairment (MCI) or Alzheimer’s disease (AD) by psychiatric<br />
assessment. The individuals had T1 structural MRI scanning<br />
from which entorhinal cortical thicknesses and whole brain<br />
volumes were calculated. In addition, blood was taken from<br />
the individuals and extracted DNA was run on the Illumina<br />
Human 610-Quad Beadchip. We used 494419 SNPs from<br />
across the genome (484465 autosomal) that had passed<br />
stringent quality control thresholds <strong>of</strong> minor allele frequency<br />
>0.05, a sample calling rate <strong>of</strong> 0.985, and a SNP calling rate <strong>of</strong><br />
0.99. Relatedness <strong>of</strong> the individuals was assessed by identity<br />
by descent estimates. Population stratification was conducted<br />
to identify any potential outlying individuals. HapMap Phase 2<br />
SNPs from CEU founders were imputed in the samples.<br />
A total <strong>of</strong> 239 individuals categorised as Control, Mild<br />
Cognitive Impairment or Alzheimer’s disease passed the<br />
genotyping quality control, were genotyped for ApoE and had<br />
scanning data that passed quality control protocols. Entorhinal<br />
cortical thicknesses and whole brain volumes were corrected<br />
for age, sex, disease status and ApoE4 dosage. An additive<br />
model was applied to investigate the interaction between<br />
individual allele dosage and MCI or AD status. A number <strong>of</strong><br />
SNPS were assigned p-values
POSTER<br />
ABSTRACTS
ADHD<br />
1 THE ROLE OF THE Y CHROMOSOME IN<br />
NEURODEVELOPMENTAL DISORDERS<br />
E. Stergiakouli* (1), H. Williams (1), K. Langley (1), A.<br />
Thapar (1), M. Owen (1)<br />
1. Department <strong>of</strong> Psychological Medicine, Cardiff University,<br />
Henry Wellcome Building, Heath Park CF14 4XN, Cardiff,<br />
U.K.<br />
*stergiakouliE@cardiff.ac.uk<br />
ADHD and schizophrenia are neurodevelopmental disorders<br />
that are more prevalent in males. Both disorders also show sex<br />
differences in age <strong>of</strong> onset or severity. The Y chromosome is<br />
potentially an important influence on male susceptibility to<br />
neuropsychiatric disorders. The way the Y chromosome can<br />
increase risk to neuropsychiatric disorders is directly or<br />
indirectly by interacting with autosomal genes expressed in<br />
the brain or with environmental factors. In addition, it can<br />
modify the disease phenotype by influencing cognitive<br />
performance. However, due to difficulties arising from the<br />
lack <strong>of</strong> recombination and widely accepted nomenclature, the<br />
Y chromosome has been largely excluded from genetic and<br />
genomic studies <strong>of</strong> neuropsychiatric disorders. In order to<br />
overcome this lack <strong>of</strong> knowledge, we chose to study the Y<br />
chromosome in a sample <strong>of</strong> 210 cases with ADHD, 310 cases<br />
with schizophrenia and 700 U.K. controls. In total, 11 Y<br />
chromosome markers were selected to represent the main Y<br />
chromosome haplogroups that are present in the U.K.<br />
according to data from the Y chromosome Consortium and<br />
personal communication with Y chromosome researchers.<br />
Statistical analysis <strong>of</strong> Y chromosome haplogroups revealed<br />
that although there was no significantly increased<br />
representation <strong>of</strong> any haplogroup in cases with ADHD or<br />
schizophrenia compared to controls, specific Y chromosome<br />
haplogroups were associated with higher performance and full<br />
scale IQ within the ADHD sample. Our results provide<br />
evidence that Y chromosome variation may modify ADHD<br />
phenotype by influencing cognitive performance.<br />
2 INFLUENCE OF DAT1 POLYMORPHISM ON<br />
STRIATAL ACTIVATION IN ADULT ADHD<br />
M. Hoogman* (1), E. Aarts (2), M. Zwiers (2), D.<br />
Slaats-Willemse (3), R. Cools (2), C. Kan (1), J. Buitelaar (1),<br />
B. Franke (4)<br />
1. Department <strong>of</strong> Psychiatry, Donders Institute for Brain,<br />
Cognition and Behaviour, Radboud University Nijmegen<br />
(<strong>Medical</strong> Centre), Nijmegen 2. Donders Centre for Cognitive<br />
Neuroimaging, Donders Institute for Brain, Cognition and<br />
Behaviour, Radboud University Nijmegen (<strong>Medical</strong> Centre),<br />
Nijmegen 3. Karakter Child and Adolescent Psychiatric<br />
Centre, Nijmegen, The Netherlands 4. Department <strong>of</strong> Human<br />
Genetics, Donders Institute for Brain, Cognition and<br />
Behaviour, Radboud University Nijmegen (<strong>Medical</strong> Centre),<br />
Nijmegen<br />
*m.hoogman@psy.umcn.nl<br />
Background: Attention Deficit/Hyperactivity Disorder<br />
(ADHD) is characterised by altered reward processing and<br />
striatal hypoactivity during reward tasks. The striatal reward<br />
processing centre has a high dopamine transporter (DAT)<br />
density. A VNTR in the 3’ UTR <strong>of</strong> DAT1, a risk factor for<br />
ADHD, alters gene expression and influences dopamine<br />
transporter density in the striatum and levels <strong>of</strong> synaptic<br />
dopamine. Our objective is to explore the influence <strong>of</strong> this<br />
polymorphism on functionality <strong>of</strong> the striatum in adult ADHD.<br />
Methods: So far, twenty-eight adults meeting criteria for<br />
DSM-IV ADHD and nineteen healthy subjects have been<br />
recruited. Recruitment is still ongoing. Participants perform a<br />
reward anticipation task inside a 1.5 Tesla MR scanner<br />
(adapted from Knutson et al., 2001). Statistical analysis<br />
compares the ventral striatal BOLD response <strong>of</strong> groups based<br />
on genotype (10/10-repeat homozygotes versus 9-repeat<br />
carriers). Results: Interim analysis already reveals more<br />
ventral striatal activity in 10/10-repeat homozygotes in ADHD<br />
patients (p=0.03). The exact opposite effect is found in healthy<br />
individuals (p=0.02; interaction genotype x disorder:<br />
p=0.002). Genotype or disorder does not affect behavioral<br />
measures. Discussion: These results could be explained by the<br />
added effect <strong>of</strong> an excess <strong>of</strong> striatal phasic dopamine (DA) in<br />
ADHD patients and less DAT availability in 9-repeat carriers<br />
to transport DA. Therefore an overdose <strong>of</strong> DA might lead to<br />
less striatal activation. This study can help to explain why the<br />
9-repeat allele <strong>of</strong> the DAT1 VNTR is a risk factor for adult<br />
ADHD (Franke et al, 2008).
3 META-ANALYSIS OF THE SLC6A3/DAT1 VNTR<br />
HAPLOTYPE IN PERSISTENT ADHD SUGGESTS<br />
DIFFERENTIAL INVOLVEMENT OF THE GENE IN<br />
CHILDHOOD AND PERSISTENT ADHD<br />
B. Franke* (1, 2), S. Johansson (3, 4), K. Lesch (5), P.<br />
Asherson (6), S. Faraone (7), E. Mick (8), J. Buitelaar (2), J.<br />
Haavik (3, 9), B. Cormand (11), J. Ramos-Quiroga (10), A.<br />
Reif (5)<br />
1. Department <strong>of</strong> Human Genetics, Donders Institute for<br />
Brain, Cognition and Behavior, Centre for Neuroscience,<br />
Radboud University Nijmegen <strong>Medical</strong> Centre, Nijmegen,<br />
The Netherlands 2. Department <strong>of</strong> Psychiatry, Donders<br />
Institute for Brain, Cognition and Behavior, Centre for<br />
Neuroscience, Radboud University Nijmegen <strong>Medical</strong> Centre,<br />
Nijmegen, The Netherlands 3. Department <strong>of</strong> Biomedicine,<br />
University <strong>of</strong> Bergen 4. Center for <strong>Medical</strong> Genetics and<br />
Molecular Medicine, Haukeland University Hospital, Bergen,<br />
Norway 5. Department <strong>of</strong> Psychiatry and Psychotherapy,<br />
Clinical and Molecular Psychobiology, and Interdisciplinary<br />
Center for Clinical Research (IZKF), University <strong>of</strong> Würzburg,<br />
Würzburg, Germany 6. MRC Social Genetic and<br />
Developmental Psychiatry, Institute <strong>of</strong> Psychiatry, Kings<br />
College London, London, UK 7. Departments <strong>of</strong> Psychiatry<br />
and Neuroscience and Physiology, SUNY Upstate <strong>Medical</strong><br />
University, Syracuse, New York, USA 8. Department <strong>of</strong><br />
Psychiatry, Massachusetts General Hospital and Harvard<br />
<strong>Medical</strong> School, Boston, MA, USA 9. Department <strong>of</strong><br />
Psychiatry, Haukeland University Hospital, Bergen, Norway<br />
10. Department de Genètica, Facultat de Biologia, Universitat<br />
de Barcelona, CIBER Enfermedades Raras, Instituto de Salud<br />
Carlos III, Barcelona, and Institut de Biomedicina de la<br />
Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain<br />
11. Department <strong>of</strong> Psychiatry, Hospital Universitari Vall<br />
d’Hebron, Barcelona, and Department <strong>of</strong> Psychiatry and Legal<br />
Medicine, Universitat Autònoma de Barcelona, Catalonia,<br />
Spain<br />
*b.franke@antrg.umcn.nl<br />
Attention-deficit/hyperactivity disorder (ADHD) is one <strong>of</strong> the<br />
most common neuropsychiatric disorders with a worldwide<br />
prevalence around 4-5% in children and 1-4% in adults.<br />
Although ADHD is highly heritable and familial risk may<br />
contribute most strongly to the persistent form <strong>of</strong> the disorder,<br />
there are few studies <strong>of</strong> the genetics <strong>of</strong> ADHD in adults. In the<br />
current paper, we present results <strong>of</strong> the International<br />
Multicentre Persistent ADHD Genetics CollaboraTion<br />
(IMpACT) that has been set up with the goal <strong>of</strong> performing<br />
research into the genetics <strong>of</strong> persistent ADHD. A<br />
meta-analysis <strong>of</strong> the SLC6A3/DAT1 gene in persistent ADHD<br />
was carried out in 1440 patients and 1769 controls from<br />
IMpACT and one earlier report. DAT1, encoding the<br />
dopamine transporter, is one <strong>of</strong> the most frequently studied<br />
genes in ADHD, though results have been inconsistent. A<br />
variable number tandem repeat polymorphism (VNTR) in the<br />
3’ untranslated region (UTR) <strong>of</strong> the gene and, more recently, a<br />
haplotype <strong>of</strong> this VNTR with another VNTR in intron 8 have<br />
been the target <strong>of</strong> most studies. Whereas the 10/10 genotype <strong>of</strong><br />
the 3’ UTR VNTR and the 10-6 haplotype <strong>of</strong> the two VNTRs<br />
are thought to be risk factors for ADHD in children, we found<br />
the 9/9 genotype (p=0.03) and the 9-6 haplotype (p=0.03)<br />
associated with persistent ADHD. A differential association <strong>of</strong><br />
DAT1 with ADHD in children and in adults might help<br />
explain the inconsistencies observed in earlier association<br />
studies. However, the data might also imply that DAT1 plays<br />
a modulatory rather than causative role in ADHD.<br />
4 FURTHER INVESTIGATION OF THE STEROID<br />
SULFATASE (STS) GENE AND ADHD: ASSOCIATION<br />
AND MOLECULAR ANALYSES<br />
K. Brookes* (1), Z. Hawi (2), J. Park (1), S. Scott (1), A.<br />
Kirley (2), E. Barry (2), D. Coghill (3), M. Gill (2), L. Kent<br />
(1)<br />
1. Bute <strong>Medical</strong> School, University <strong>of</strong> St Andrews, St<br />
Andrews, UK 2. Department <strong>of</strong> Psychiatry, Trinity Centre for<br />
Health Sciences, St James’s Hospital, Dublin, Ireland 3.<br />
Division <strong>of</strong> <strong>Medical</strong> Sciences, Centre for Neuroscience,<br />
University <strong>of</strong> Dundee, Scotland<br />
*kjb11@st-andrews.ac.uk<br />
Attention Deficit Hyperactivity Disorder (ADHD) is one <strong>of</strong><br />
the most heritable and prevalent behavioural disorders<br />
affecting 3-5% <strong>of</strong> school-aged children. Evidence from animal<br />
and human studies suggests steroid sulphatase (STS) may<br />
influence aspects <strong>of</strong> attention. Using tagging SNP’s we<br />
previously demonstrated that genetic variation in the STS gene<br />
is associated with ADHD. This study extends those initial<br />
findings by fine mapping the 5’ region <strong>of</strong> the STS gene using<br />
twelve SNP markers in an extended sample <strong>of</strong> 450 probands,<br />
<strong>of</strong> which the majority were male (90.1%) between the ages <strong>of</strong><br />
4 – 15 years. The majority <strong>of</strong> the sample was diagnosed as<br />
ADHD combined subtype (82.3%), with comorbidity rates <strong>of</strong><br />
46.9% for Oppositional Defiant Disorder, and 15.3% for<br />
Conduct Disorder. Additionally, STS protein and RNA were<br />
isolated from twenty-eight normal post-mortem brains in order<br />
to investigate the functionality <strong>of</strong> associated polymorphisms,<br />
by western blotting and mRNA gene expression. Results<br />
indicated that six SNP’s were associated with ADHD (with a<br />
significance value <strong>of</strong> P less than 0.05 for each individual<br />
marker) spanning the first two introns <strong>of</strong> the STS gene and one<br />
within a known alternative first exon. Haplotype analysis<br />
using the Gabriel method indicated two haplotype blocks, both<br />
<strong>of</strong> which were significantly associated with ADHD (P=0.001<br />
and P=0.004). mRNA expression and protein levels were not<br />
related to any <strong>of</strong> the significantly associated SNP markers.
5 CADHERIN 13 IS IMPLICATED IN ADULT ADHD,<br />
ITS ENDOPHENOTYPES AND CO-MORBID<br />
CONDITIONS<br />
A. Reif* (1), T. Nguyen (2), L. Weissflog (1), C. Jacob (1), M.<br />
Romanos (1), S. Liedel (1), H. Schäfer (2), A. Warnke (1), B.<br />
Cormand (3), J. Haavik (4), B. Franke (5), K. Lesch (1)<br />
1. University <strong>of</strong> Würzburg 2. University <strong>of</strong> Marburg 3.<br />
University <strong>of</strong> Barcelona 4. University <strong>of</strong> Bergen 5. University<br />
<strong>of</strong> Nijmegen<br />
*reif_a@klinik.uni-wuerzburg.de<br />
The atypical cadherin 13 (CDH13) has hitherto mainly gained<br />
attention regarding its function in the heart, where it has an<br />
important role in cell-cell adhesion. However, it is also<br />
expressed in the brain with a remarkable expression pattern,<br />
and with transcripts found in the prefrontal cortex, thalamus,<br />
the raphe nuclei and the locus coeruleus, CDH13 is in the<br />
center <strong>of</strong> monoaminergic neurotransmission. In the last year,<br />
several genome-wide association studies (GWAS) provided<br />
evidence that CDH13 is associated with different substance<br />
abuse disorders and quite interestingly, CDH13 was also<br />
amongst the top hits <strong>of</strong> two GWAS in ADHD (Lesch et al.,<br />
2008; Lasky-Su et al., 2008). Further evidence for a role <strong>of</strong><br />
CDH13 in ADHD was provided by a meta-analysis <strong>of</strong> ADHD<br />
linkage studies, where the locus containing CDH13 was the<br />
only one to reach genome-wide significance (Zhou et al.,<br />
2008). Thus, CDH13 is a highly relevant candidate gene for<br />
ADHD and related conditions. We have tested an association<br />
<strong>of</strong> CDH13 with adult ADHD (aADHD) interrogating 86<br />
tagging SNPs in a sample <strong>of</strong> 624 aADHD cases and 422<br />
controls. Thereby, several SNPs scattered across the gene<br />
were found to be associated with disease, co-morbid<br />
conditions such as depression, as well as NEO Extraversion<br />
and TPQ Novelty Seeking. 14 SNPs had p-values < 0.01, and<br />
within two haploblocks a significant association <strong>of</strong> a<br />
haplotype with aADHD was observed. To replicate this<br />
finding, we additionally tested a family-based sample<br />
consisting <strong>of</strong> 170 families with at least one child affected with<br />
ADHD. Again, seven SNPs in this sample were associated<br />
with disease. Joint analysis revealed that five SNPs and two<br />
haplotypes, each including one <strong>of</strong> the risk alleles, were<br />
associated with disease in both samples. Further replication<br />
was aimed for in the IMpACT sample consisting <strong>of</strong> more than<br />
1,000 additional aADHD cases from three European countries.<br />
Taken all findings together, CDH13 appears to be a highly<br />
relevant gene for disorders with the shared feature <strong>of</strong> deficient<br />
impulse control such as ADHD and substance abuse. The<br />
corresponding pathomechanism might include defective<br />
monoaminergic neurotransmission. This latter hypothesis has<br />
yet to be established, and respective analyses are underway.<br />
6 RIGHT-SIDED SPATIAL DIFFICULTIES IN ADHD<br />
DEMONSTRATED IN CONTINUOUS MOVEMENT<br />
CONTROL<br />
K. Johnson* (1), A. Dáibhis (2), C. Tobin (2), R. Acheson<br />
(2), A. Watchorn (2), A. Mulligan (3), E. Barry (2), J.<br />
Bradshaw (4), M. Gill (2), I. Robertson (2)<br />
1. Queen's University <strong>of</strong> Belfast 2. Trinity College Dublin 3.<br />
Mater Hospital 4. Monash University<br />
* k.johnson@qub.ac.uk<br />
Attention Deficit Hyperactivity Disorder (ADHD) is a<br />
prevalent neurodevelopmental psychiatric disorder<br />
characterised by hyperactivity, inattention and impulsiveness.<br />
Children with ADHD <strong>of</strong>ten show spatial attentional deficits,<br />
exhibiting a subtle rightwards bias, possibly due to<br />
dysfunction within the right hemisphere fronto-parietal<br />
network. Approximately 50% <strong>of</strong> children with ADHD also<br />
show signs <strong>of</strong> movement dysfunction. This movement<br />
dysfunction, however, has not been clearly described. Some<br />
areas <strong>of</strong> the brain involved in movement control (the<br />
fronto-striatal circuits) show anatomical and physiological<br />
dysfunction in ADHD. This study compared 31 children with<br />
and 31 children without ADHD on a movement kinematic task<br />
that tested hand-drawing movement precision, using the same<br />
procedure as Mattingley et al., (1994) and Phillips et al.,<br />
(1996). Participants used an electronic pen on a WACOM<br />
Intuos3 PTZ930 A4-sized digitizing tablet. The pen tip<br />
position was sampled as X and Y coordinates at 200 Hz, with<br />
an accuracy <strong>of</strong> ±0.25 mm. Data were acquired using the<br />
MovAlyzer® s<strong>of</strong>tware package, on a laptop computer. The<br />
task was to join targets <strong>of</strong> either 10 or 20mm diameter that<br />
were separated by a distance <strong>of</strong> 62.5 or 125mm. Constant<br />
error in the X and Y planes, peak vertical velocity and<br />
acceleration, and movement time were analysed. Apart from a<br />
significantly increased rate <strong>of</strong> acceleration across all<br />
conditions, the children with ADHD demonstrated no<br />
temporal difficulties with the task; rather they showed subtle<br />
spatial difficulties. The children with ADHD showed<br />
difficulties in accuracy <strong>of</strong> movement towards the right. They<br />
were less accurate in the X plane when moving towards the<br />
right-sided targets over the long distance. Greater variability<br />
in target accuracy was shown when moving towards the small<br />
target on the right side. These results suggest that the subtle<br />
spatial bias towards the right that has been demonstrated in<br />
ADHD on visual spatial tasks also extends into the movement<br />
domain.
7 COMMON VARIANTS IN THE TPH1 AND TPH2<br />
REGIONS ARE NOT ASSOCIATED WITH<br />
PERSISTENT ADHD IN 3559 INDIVIDUALS FROM<br />
FOUR EUROPEAN POPULATIONS<br />
S. Johansson* (1, 2), A. Halmøy (1), T. Mavroconstanti (1),<br />
K. Jacobsen (1), E. Landaas (1), A. Reif (3), C. Jacob (3), A.<br />
Boreatti-Hummer (3), S. Kreiker (3), K. Lesch (3), C. Kan (4),<br />
J. Kooij (5), L. Kiemeney (6), J. Buitelaar (4), B. Franke (4),<br />
M. Ribases (7), R. Bosch (7), M. Bayes (8), M. Casas (7), J.<br />
Ramos-Quiroga (7), B. Cormand (9), P. Knappskog (2), J.<br />
Haavik (1, 10)<br />
1. Department <strong>of</strong> Biomedicine, University <strong>of</strong> Bergen, Norway<br />
2. Center for <strong>Medical</strong> Genetics and Molecular Medicine,<br />
Haukeland University Hospital. Bergen, Norway 3.<br />
Department <strong>of</strong> Psychiatry, Psychosomatics and<br />
Psychotherapy, University <strong>of</strong> Würzburg, Würzburg, Germany<br />
4. Department <strong>of</strong> Psychiatry, Donders Institute for Brain,<br />
Cognition and Behavior, Radboud University Nijmegen<br />
<strong>Medical</strong> Centre, Nijmegen, The Netherlands 5. Parnassia,<br />
Psycho-<strong>Medical</strong> Centre, The Hague, The Netherlands 6.<br />
Department <strong>of</strong> Epidemiology & Biostatistics, Radboud<br />
University Nijmegen <strong>Medical</strong> Centre, Nijmegen, The<br />
Netherlands 7. Department <strong>of</strong> Psychiatry, Hospital<br />
Universitari Vall d’Hebron, Barcelona, Catalonia, Spain 8.<br />
Genes and Disease Program, Center for Genomic Regulation<br />
(CRG-UPF), Barcelona, Catalonia, Spain 9. Departament de<br />
Genètica, Facultat de Biologia, Universitat de Barcelona,<br />
Catalonia, Spain 10. Division <strong>of</strong> Psychiatry, Haukeland<br />
University Hospital, Bergen, Norway.<br />
* stefan.johansson@biomed.uib.no<br />
The tryptophan hydroxylase 1 and 2 (TPH1 and TPH2) genes<br />
which encode the rate-limiting enzymes in the serotonin<br />
biosynthesis have been implicated in several psychiatric<br />
disorders. Results from children with<br />
attention-deficit/hyperactivity disorder (ADHD) are<br />
conflicting, and little is known about TPH1 and TPH2 in adult<br />
ADHD patients. We therefore first genotype-tagged all<br />
common variants within both genes in a Norwegian sample <strong>of</strong><br />
451 patients with a diagnosis <strong>of</strong> adult ADHD and 584<br />
controls. Six <strong>of</strong> the SNPs were subsequently genotyped in<br />
three additional independent European Caucasian samples <strong>of</strong><br />
adult ADHD cases and controls from the International<br />
Multicenter persistent ADHD CollaboraTion (IMpACT).<br />
None <strong>of</strong> the SNPs reached formal study-wide significance in<br />
the total meta-analysis sample <strong>of</strong> 1636 cases and 1923<br />
controls, despite having a power <strong>of</strong> >80% to detect a variant<br />
conferring an OR=1.25 at P=0.001-level. However,<br />
rs17794760 located in TPH1 showed nominal significance<br />
[OR=0.84 (0.71-1.00), P=0.05]. In conclusion, in the single<br />
largest ADHD genetic study <strong>of</strong> TPH1 and TPH2 variants<br />
presented to date (n=3559 individuals) we did not find<br />
consistent evidence for a major effect <strong>of</strong> common genetic<br />
variants on persistent ADHD.<br />
8 CASE-CONTROL STUDY OF SIX GENES<br />
ASYMMETRICALLY EXPRESSED IN THE TWO<br />
CEREBRAL HEMISPHERES: ASSOCIATION OF<br />
BAIAP2 WITH ADHD<br />
M. Ribasés* (1), R. Bosch (1), A. Hervás (2), J.<br />
Ramos-Quiroga (1), C. Sánchez-Mora (1), A. Bielsa (1), X.<br />
Gastaminza (1), S. Guijarro-Domingo (2), M. Nogueira (1), N.<br />
Gómez-Barros (1), S. Kreiker (3), S. Groß-Lesch (3), C. Jacob<br />
(3), K. Lesch (3), A. Reif (3), S. Johansson (4), K. von Plessen<br />
(5), P. Knappskog (6), J. Haavik (4), X. Estivill (7), M. Casas<br />
(1), M. Bayés (7), B. Cormand (8)<br />
1. Department <strong>of</strong> Psychiatry, Hospital Universitari Vall<br />
d’Hebron, Barcelona, Catalonia, Spain 2. Child and<br />
Adolescent Mental Health Unit, Hospital Mútua de Terrassa,<br />
Barcelona, Spain 3. Department <strong>of</strong> Psychiatry,<br />
Psychosomatics and Psychotherapy, University <strong>of</strong> Würzburg,<br />
Füchsleinstr. Würzburg, Germany 4. Department <strong>of</strong><br />
Biomedicine, University <strong>of</strong> Bergen, Norway 5. Division <strong>of</strong><br />
Psychiatry, Haukeland University Hospital, Bergen, Norway<br />
6. Center <strong>of</strong> <strong>Medical</strong> Genetics and Molecular Medicine,<br />
Haukeland University Hospital, Norway 7. Genes and Disease<br />
Program, Center for Genomic Regulation (CRG-UPF,)<br />
Barcelona, Spain 8. Departament de Genètica, Facultat de<br />
Biologia, Universitat de Barcelona, Spain<br />
* marta.ribases@gmail.com<br />
Attention-deficit hyperactivity disorder (ADHD) is a<br />
childhood-onset neuropsychiatric disease that persists into<br />
adulthood in at least 30% <strong>of</strong> ADHD children. Different lines<br />
<strong>of</strong> evidence suggest that abnormal left-right brain asymmetries<br />
in ADHD patients may be involved in a variety <strong>of</strong><br />
ADHD-related cognitive processes. Although mechanisms<br />
underlying cerebral lateralization are unknown, left-right<br />
cortical asymmetry in humans has been associated with<br />
transcriptional asymmetry at embryonic stages and a number<br />
<strong>of</strong> genes differentially expressed between hemispheres have<br />
been identified. We selected six functional candidate genes<br />
showing at least 1.9-fold differential expression between<br />
hemispheres (BAIAP2, DAPPER1, LMO4, NEUROD6,<br />
ATP2B3 and ID2) and performed a case-control analysis in an<br />
initial Spanish sample <strong>of</strong> 587 ADHD patients (270 adults and<br />
317 children) and 587 controls. The single- and<br />
multiple-marker analysis provided evidence for a contribution<br />
<strong>of</strong> BAIAP2 to adulthood ADHD (P=0.0026, OR=1.69<br />
(1.20-2.44) and P=0.0016, OR=1.64 (1.20-2.22), respectively).<br />
We then tested BAIAP2 for replication in two independent<br />
adult samples from Germany (639 ADHD patients and 612<br />
controls) and Norway (417 ADHD cases and 469 controls)<br />
contributed by the International Multicentre Persistent ADHD<br />
CollaboraTion (IMpACT). While no significant results were<br />
observed in the Norwegian sample, we replicated the initial<br />
association between BAIAP2 and adulthood ADHD in the<br />
German population (P=0.0062; OR=1.21 (1.03-1.42)). Our<br />
results support the participation <strong>of</strong> BAIAP2 in the continuity<br />
<strong>of</strong> ADHD across lifespan, at least in some <strong>of</strong> the populations<br />
analyzed, and suggest that genetic factors potentially<br />
influencing abnormal cerebral lateralization may be involved<br />
in this neurodevelopmental disorder.
9 META-ANALYSIS OF BRAIN-DERIVED<br />
NEUROTROPHIC FACTOR P.VAL66MET IN ADULT<br />
ADHD IN FOUR EUROPEAN POPULATIONS<br />
C. Sánchez-Mora* (1), M. Ribasés (1), J. Ramos-Quiroga<br />
(1), M. Casas (2), R. Bosch (2), A. Boreatti-Hümmer (3), M.<br />
Heine (3), C. Jacob (3), K. Lesch (3), O. Fasmer (4), P.<br />
Knappskog (5), J. Kooij (6), C. Kan (7), J. Buitelaar (7), E.<br />
Mick (8), P. Asherson (9), S. Faraone (10), B. Franke (7), S.<br />
Johansson (5), J. Haavik (4), A. Reif (4), M. Bayés (11), B.<br />
Cormand (12)<br />
1. Department <strong>of</strong> Psychiatry, Hospital Universitari Vall<br />
d’Hebron, Barcelona, Catalonia, Spain 2. Hospital Universitari<br />
Vall d’Hebron, Barcelona, Catalonia, Spain 3. Department <strong>of</strong><br />
Psychiatry, Psychosomatics and Psychotherapy, University <strong>of</strong><br />
Würzburg, Füchsleinstr. 15, 97080 Würzburg, Germany 4.<br />
Division <strong>of</strong> Psychiatry, Haukeland University Hospital,<br />
Bergen, Norway 5. Center <strong>of</strong> <strong>Medical</strong> Genetics and Molecular<br />
Medicine, Haukeland University Hospital, Norway 6. PsyQ,<br />
Psycho-<strong>Medical</strong> Programs, Program Adult ADHD, The<br />
Hague, The Netherlands 7. Department <strong>of</strong> Psychiatry,<br />
Radboud University Nijmegen <strong>Medical</strong> Centre, Nijmegen,<br />
The Netherlands 8. Department <strong>of</strong> Psychiatry, Massachusetts<br />
General Hospital and Harvard <strong>Medical</strong> School, Boston, MA,<br />
USA 9. Social, Genetic, and Developmental Psychiatry<br />
Centre, Institute <strong>of</strong> Psychiatry, King’s College London,<br />
London, UK 10. Department <strong>of</strong> Neuroscience, SUNY Upstate<br />
<strong>Medical</strong> University, Syracuse, New York 11. Genes and<br />
Disease Program, Center for Genomic Regulation<br />
(CRG-UPF,) Barcelona, Catalonia, Spain 12. Departament de<br />
Genètica, Facultat de Biologia, Universitat de Barcelona,<br />
Catalonia, Spain<br />
* crissanchez@ir.vhebron.net<br />
Attention-deficit hyperactivity disorder (ADHD) is a<br />
multifactorial, neurodevelopmental disorder that <strong>of</strong>ten persists<br />
into adolescence and adulthood and is characterized by<br />
inattention, hyperactivity and impulsiveness. Before the<br />
advent <strong>of</strong> the first genome-wide association studies in ADHD,<br />
genetic research had mainly focused on candidate genes<br />
related to the dopaminergic and serotoninergic systems,<br />
although several other genes had also been assessed.<br />
Pharmacological data, analysis <strong>of</strong> animal models and<br />
association studies suggest that Brain-Derived Neurotrophic<br />
Factor (BDNF) is also a strong candidate gene for ADHD.<br />
Several polymorphisms in BDNF have been reported and<br />
studied in psychiatric disorders but the most frequent is the<br />
p.Val66Met (rs6265G>A) single nucleotide polymorphism<br />
(SNP), with functional effects on the intracellular trafficking<br />
and secretion <strong>of</strong> the protein. To deal with the inconsistency<br />
raised among different case–control and family-based<br />
association studies regarding the p.Val66Met contribution to<br />
ADHD, we performed a meta-analysis <strong>of</strong> published as well as<br />
unpublished data from four different centres that are part <strong>of</strong><br />
the International Multicentre Persistent ADHD CollaboraTion<br />
(IMpACT). A total <strong>of</strong> 1,445 adulthood ADHD patients and<br />
2,247 sex-matched controls were available for the study. No<br />
association between the p.Val66Met polymorphism and<br />
ADHD was found in any <strong>of</strong> the four populations or in the<br />
pooled sample. The meta-analysis also showed that the overall<br />
gene effect for ADHD was not statistically significant when<br />
gender or comorbidity with mood disorders were considered.<br />
Despite the potential role <strong>of</strong> BDNF in ADHD, our data do not<br />
support the involvement <strong>of</strong> p.Val66Met in the pathogenesis <strong>of</strong><br />
this neuropsychiatric disorder.<br />
10 EVIDENCE THAT GENETIC VARIATION IN THE<br />
OXYTOCIN RECEPTOR GENE INFLUENCES SOCIAL<br />
COGNITION SCORES IN ADHD<br />
J. Park* (1), G. Vetuz (1), C. Toye (1), E. Barry (2), A.<br />
Kirley (2), Z. Hawi (2), K. Brookes (2), M. Gill (2), L. Kent<br />
(1)<br />
1. Bute <strong>Medical</strong> School, University <strong>of</strong> St Andrews, St<br />
Andrews, Scotland 2. Department <strong>of</strong> Psychiatry, Trinity<br />
Centre for Health Sciences, St James’s Hospital, Dublin,<br />
Ireland<br />
* jp81@st-andrews.ac.uk<br />
Attention Deficit Hyperactivity Disorder (ADHD) is a highly<br />
heritable, common disorder <strong>of</strong> childhood. Recent evidence<br />
demonstrates that ADHD and autistic traits share some genetic<br />
liability, and both children with ADHD and autism have social<br />
cognition deficits. Evidence from animal and human studies<br />
implicates the oxytocin system in the development <strong>of</strong> social<br />
cognition and previous association studies have reported<br />
significant findings for genetic variation in the oxytocin<br />
receptor (OXTR) gene with autism. This study therefore<br />
investigated whether polymorphisms in the OXTR gene were<br />
associated with either the ADHD phenotype or social<br />
cognition traits in ADHD probands.This study employed a<br />
family association sample consisting <strong>of</strong> 450 probands, aged 4<br />
– 15 years, <strong>of</strong> which 90.1% were male. The majority <strong>of</strong> the<br />
sample was diagnosed as ADHD combined subtype (82.3%),<br />
with 46.9% comorbid for Oppositional Defiant Disorder, and<br />
15.3% for Conduct Disorder. Additionally, 119 <strong>of</strong> the<br />
probands completed the Social and Communication Disorders<br />
Checklist (SCDC), with higher scores indicating poorer social<br />
cognition. No statistical significant difference in SCDC score<br />
between males and females was found. 5 single nucleotide<br />
polymorphisms (SNP’s) in the OXTR gene previously<br />
investigated in autism susceptibility were genotyped. No<br />
significant associations with the ADHD phenotype were found<br />
but a significant association between rs53576 genotype groups<br />
and SCDC scores was discovered (F= 4.566, p= 0.013).<br />
Post-hoc tests demonstrated the G allele <strong>of</strong> rs53576 to be<br />
associated with poorer social cognition. This SNP lies in an<br />
intronic 3 haplotype previously associated with autism.<br />
Further investigation <strong>of</strong> these findings is warranted.
11 GENOMEWIDE ASSOCIATION SCAN OF<br />
REACTION TIME DATA IN COMBINED TYPE ADHD<br />
A. Vasquez (1), P. Asherson* (2), A. Wood (2), N. Rommelse<br />
(1), F. Rijsdijk (2), B. Franke (1), K. Zhou (2), T.<br />
Banaschewski (3), A. Rothenberger (4), R. Oades (5), M. Gill<br />
(6), R. Ebstein (7), H. Roeyers (8), I. Manor (9), A. Miranda<br />
(10), F. Mulas (10), H. Steinhausen (11), E. Sonuga-Barke<br />
(12), J. Buitelaar (1), J. Sergeant (13), S. Faraone (14), J.<br />
Kuntsi (2)<br />
1. Department <strong>of</strong> Psychiatry, Radboud University, Nimjmegan<br />
<strong>Medical</strong> Centre, Nijmegan, Netherlands 2. MRC Social<br />
Genetic and Developmental Psychiatry, Institute <strong>of</strong><br />
Psychiatry, Kings College London, London, UK 3.<br />
Department <strong>of</strong> child and adolescent psychiatry and<br />
psychotherapy, University <strong>of</strong> Mannheim, Mannheim,<br />
Germany 4. Child and adolescent psychiatry, University <strong>of</strong><br />
Goettingen, Goettingen, Germany 5. University Clinic for<br />
child and adolescent psychiatry, Essen, Germany 6.<br />
Department <strong>of</strong> Psychiatry, Trinity Centre for Health Sciences,<br />
Dublin, Ireland 7. Herzog Memorial Hospital, Jerusalem,<br />
Israel 8. Department <strong>of</strong> Experimental Clinical Health<br />
Psychology, Ghent University, Ghent, Belgium 9. ADHD<br />
clinic, Geha Mental Health Center, Petak-Tikvah, Israel 10.<br />
Department <strong>of</strong> developmental and educational psychology,<br />
University <strong>of</strong> Valencia, Valencia, Spain 11. Department <strong>of</strong><br />
child and adolescent psychiatry, University <strong>of</strong> Zurich, Zurich,<br />
Switzerland 12. Institute for disorders <strong>of</strong> impulsivity and<br />
attention, University <strong>of</strong> Southampton 13. Vrije Universiteit, de<br />
Boelelaan, Amsterdam, Netherlands 14. Departments <strong>of</strong><br />
Psychiatry, Neuroscience and Physiology, SUNY Upstate<br />
<strong>Medical</strong> University, Syracuse, United States<br />
* p.asherson@iop.kcl.ac.uk<br />
Results from multivariate familial model fitting on a large<br />
sample <strong>of</strong> ADHD and control sibling-pairs indicate the<br />
presence <strong>of</strong> two familial cognitive impairment factors (Kuntsi<br />
et al., in preparation). The larger factor, reflecting 70% <strong>of</strong> the<br />
familial variance with ADHD, captured all familial influences<br />
on mean reaction time (RT) and RT variability. The second<br />
factor, reflecting 20% <strong>of</strong> the familial variance with ADHD,<br />
captured all familial influences on omission errors on the<br />
go/no-go task and 60% <strong>of</strong> those on commission errors. These<br />
findings suggest partially separable genetic influences that<br />
contribute to the heritability <strong>of</strong> ADHD; RT variables represent<br />
important indices <strong>of</strong> underlying genetic liability. We therefore<br />
adopted a genome-wide scan approach to search for genes<br />
associated with RT measures. The sample consisted <strong>of</strong> two<br />
datasets from the International ADHD Multicentre Genetics<br />
(IMAGE) project: the 8-team collaborative dataset derived RT<br />
data from go/no-go and 4-choice reaction time tasks; the<br />
Dutch dataset derived RT data from the Stop task. To evaluate<br />
whether the two datasets could be combined we used Full<br />
Information Maximum Likelihood Estimation to estimate<br />
phenotypic (0.73–0.75) and familial (0.91–0.81) correlations<br />
for mean RT and RT variability, respectively, between the<br />
two-datasets. The final sample consists <strong>of</strong> around 500 ADHD<br />
combined type probands plus their siblings for whom we had<br />
both genomewide scan and RT data. Missing sibling GWAS<br />
data is imputed using known IBD information from linkage<br />
scan data. Further studies will aim to replicate these findings<br />
through international collaborations <strong>of</strong> RT data in ADHD.<br />
12 INVESTIGATION OF CANDIDATE GENE<br />
INTERACTIONS INFLUENCING RISK FOR ADHD<br />
R. Segurado* (1), M. Bellgrove, M. Gill (2), Z. Hawi (2)<br />
1. Trinity College Dublin 2. T.C.D.<br />
* rsegurdo@tcd.ie<br />
A number <strong>of</strong> genes with function related to synaptic<br />
neurochemistry have been associated with an<br />
Attention-Deficit/Hyperactivity Disorder. However,<br />
susceptibility to the development <strong>of</strong> common psychiatric<br />
disorders by single variants acting alone, have so far only<br />
explained a small proportion <strong>of</strong> the heritability <strong>of</strong> the<br />
phenotype. It has been postulated that the unexplained “dark<br />
heritability” may at least in part be due to epistatic effects,<br />
which would explain the small observed main effects and the<br />
difficulties in replication <strong>of</strong> positive findings. We undertook a<br />
comprehensive exploration <strong>of</strong> pair-wise interactions between<br />
150 genetic variants in 25 candidate genes involved in<br />
monoaminergic catabolism, anabolism, release, re-uptake and<br />
signal transmission, in a sample <strong>of</strong> 177 parent-affected child<br />
trios using a case-only design. Marker-pairs showing large<br />
effects and statistical significance were further explored with a<br />
case-pseudocontrol design using conditional logistic<br />
regression. We detected a number <strong>of</strong> moderate interaction<br />
odds ratios (1.7 – 2.8), including between markers in the<br />
ADRA1A and HTR2A genes, and markers in the HTR1B and<br />
SLC18A2 genes. These effects are no larger than you would<br />
expect by chance under the assumption <strong>of</strong> independence <strong>of</strong> all<br />
pair-wise relations, however independence is unlikely.<br />
Furthermore, the size <strong>of</strong> these effects is <strong>of</strong> interest and<br />
attempts to replicate these results in other samples are<br />
anticipated.
13 PHARMACOGENETICS ANALYSIS BETWEEN<br />
THE DOPAMINE TRANSPORTER GENE AND<br />
METHYLPHENIDATE RESPONSE IN CHILDREN<br />
WITH ATTENTION-DEFICIT/HYPERACTIVITY<br />
DISORDER<br />
J. Genro* (1), C. Zeni (1), G. Polanczyk (1), T. Roman (1), R.<br />
Luis (1), M. Hutz (1)<br />
1. UFRGS<br />
* juliagenro@hotmail.com<br />
The gene DAT1 (SLC6A3) is the main candidate in<br />
pharmacogenetics studies with ADHD because this transporter<br />
is the major site <strong>of</strong> methylphenidate (MPH) action. All<br />
association studies between DAT1 and MPH response have<br />
focused in the 3’ VNTR <strong>of</strong> the gene presenting conflicting<br />
results. The objective in this study is to verify if the variant<br />
-839 C/T (rs2652512) located in the promoter region <strong>of</strong> the<br />
gene is associated with response to MPH. A sample <strong>of</strong> 200<br />
children from an ADHD outpatient clinic was genotyped for<br />
the promoter polymorphism. The outcome measure was the<br />
parent-rated oppositional subscale <strong>of</strong> the Swanson, Nolan and<br />
Pelham Scale - version IV. The scale was applied by child<br />
psychiatrists blinded to genotype at baseline and in the first<br />
and third months <strong>of</strong> treatment. Data were analyzed using an<br />
ANOVA model for repeated measures. Patients homozygous<br />
for the T allele had a greater reduction in symptoms <strong>of</strong><br />
opposition (p = 0.003) and inattention (p = 0.004) compared<br />
with patients with C allele over the 3 months <strong>of</strong> treatment.<br />
These results suggest that response to MPH in children with<br />
ADHD is influenced by genotype <strong>of</strong> the polymorphism -839<br />
C/T <strong>of</strong> the DAT1 gene. The DAT1 promoter region may<br />
influence response to treatment with MPH as well as<br />
susceptibility to ADHD.<br />
14 LACK OF ASSOCIATION BETWEEN THREE DAT1<br />
POLYMORPHISMS AND RESPONSE TO<br />
METHYLPHENIDATE IN ADULTS WITH ADHD<br />
V. Contini* (1), M. Victor (2), G. Bertuzzi (1), E. Grevet (3),<br />
C. Salgado (3), P. Belmonte-de-Abreu (2)<br />
1. Department <strong>of</strong> Genetics, Instituto de Biociências,<br />
Universidade Federal do Rio Grande do Sul 2. Department <strong>of</strong><br />
Psychiatry, Faculdade de Medicina, Universidade Federal do<br />
Rio Grande do Sul 3. Adult ADHD Outpatient Clinic, Hospital<br />
de Clínicas de Porto Alegre<br />
* veronica.contini@gmail.com<br />
Attention-deficit hyperactivity disorder (ADHD) is a highly<br />
heritable disorder manifesting itself in symptoms <strong>of</strong><br />
inattention and/or hyperactivity/impulsivity that result in<br />
impairment in multiple domains <strong>of</strong> adaptive functioning. The<br />
pharmacotherapy is central in ADHD treatment and the main<br />
pharmacological drug prescribed is methylphenidate<br />
hydrochloride (MPH). Pharmacogenetics studies <strong>of</strong> MPH<br />
response in ADHD have mainly focused on the 40-bp variable<br />
number <strong>of</strong> tandem repeat (VNTR) in the 3’ untranslated region<br />
(3’-UTR) <strong>of</strong> the DAT1. Most studies were performed in<br />
children samples, and obtained conflicting findings. Only two<br />
studies assessed the 3´VNTR in adult samples, one with<br />
positive and the other with negative findings. In the present<br />
study, we investigate three polymorphisms in the DAT1 gene<br />
(3´VNTR; VNTR in intron 8 and -839 C>T), and their<br />
possible role in the therapeutic response to MPH treatment in<br />
a sample <strong>of</strong> 171 adults with ADHD. The diagnostic<br />
procedures followed the DSM-IV criteria and the outcome<br />
measures were the SNAP-IV subscales, applied at the<br />
beginning and after the 30th day <strong>of</strong> treatment. The<br />
polymorphisms were analyzed separately and considering<br />
haplotypes comprising the 3´VNTR and the VNTR in intron 8.<br />
No significant effects <strong>of</strong> any DAT1 polymorphisms or<br />
haplotypes on the response to MPH were found. The current<br />
report is the second to demonstrate no difference in MPH<br />
response based upon DAT1 genotypes in adults with ADHD.<br />
If there is a significant effect <strong>of</strong> DAT1 polymorphisms in adult<br />
ADHD, this effect is likely to be very small.
15 FAMILY-BASED GENOME-WIDE ASSOCIATION<br />
STUDY OF ATTENTION-DEFICIT/HYPERACTIVITY<br />
DISORDER<br />
E. Mick* (1), A. Todorov (2), S. Loo (3), X. Hu (4), B.<br />
Dechairo (4), S. Hall (4), S. Nelson (3), C. Shtir (3), S.<br />
Smalley (3), R. Todd (2), B. Neale (1), S. Faraone (5)<br />
1. Massachusetts General Hospital 2. Washington University<br />
School <strong>of</strong> Medicine 3. UCLA 4. Molecular Medicine, Pfizer<br />
Inc. 5. SUNY Upstate <strong>Medical</strong> University<br />
* emick1@partners.org<br />
Genes likely play a substantial role in the etiology <strong>of</strong><br />
attention-deficit hyperactivity disorder (ADHD) but the<br />
genetic architecture <strong>of</strong> the disorders is unknown and prior<br />
genome-wide association studies have not identified a<br />
genome-wide significant association. We have conducted a<br />
third, independent multi-site GWAS <strong>of</strong> DSM-IV-TR ADHD<br />
using the Illumina Human1Mand Human1M-Duo BeadChip<br />
platforms. After applying quality control filters association<br />
with ADHD was tested with 835,136 SNPs in 735 DSM-IV<br />
ADHD trios from in 733 families. Our smallest p-value<br />
(6.7E-07) did not reach the threshold for genome-wide<br />
statistical significance (5.0E-08) but one <strong>of</strong> the 20 most<br />
significant associations was located in a candidate gene <strong>of</strong><br />
interest for ADHD, (SLC9A9, rs9810857, p=6.4E-6). We also<br />
conducted gene-based tests <strong>of</strong> candidate genes identified in the<br />
literature and found additional evidence <strong>of</strong> association with<br />
SLC9A9. We and our colleagues in the Psychiatric GWAS<br />
Consortium are working to pool together GWAS samples to<br />
establish the large data sets needed to follow-up on these<br />
results and to identify genes for ADHD and other disorders.<br />
16 ATTACHMENT DIFFICULTIES IN CHILDREN<br />
WITH ATTENTION DEFICIT HYPERACTIVITY<br />
DISORDER – A PHENOTYPE ANALYSIS STUDY<br />
FROM THE INTERNATIONAL MULTICENTRE<br />
ADHD GENETICS STUDY<br />
A. Mulligan* (1), F. Motala (2), R. Anney (3), M. Gill (3)<br />
1. University College Dublin 2. Mater Misericordiae<br />
University Hospital 3. Trinity College Dublin<br />
* aisling.mulligan@ucd.ie<br />
Introduction: Children with attachment difficulties such as<br />
reactive attachment disorder may present with hyperactivity.<br />
This study tested the hypothesis that attachment difficulties<br />
may occur in ADHD and may exacerbate symptoms <strong>of</strong><br />
ADHD. Aims: (1) To measure attachment difficulties in<br />
children with ADHD and ascertain if children with ADHD and<br />
attachment difficulties have more severe symptoms <strong>of</strong> ADHD<br />
than those without attachment difficulties. (2) To ascertain if<br />
there is an association between disorders comorbid to ADHD<br />
and attachment difficulties in ADHD. Methods:Attachment<br />
difficulties were measured for 966 children with ADHD,<br />
combined type participating in the International Multicentre<br />
ADHD Genetics study (IMAGE), using questions from the<br />
Parental Account <strong>of</strong> Children’s Symptoms (PACS)<br />
semi-structured interview. Diagnoses <strong>of</strong> oppositional defiant<br />
disorder (ODD), conduct disorder (CD) and <strong>of</strong> anxiety<br />
disorder were generated using the PACS. Current symptoms<br />
<strong>of</strong> ADHD and <strong>of</strong> oppositional behaviour were measured using<br />
the Conners’ parent and teacher rating scales. The group was<br />
divided into those with no attachment difficulties and those<br />
with some attachment difficulties, and ADHD symptom<br />
severity was compared in each group. Attachment symptoms<br />
were compared in those with and without comobid CD, ODD,<br />
and anxiety disorder. Results: Parents <strong>of</strong> children with ADHD<br />
and attachment difficulties (N=432) noted slightly more severe<br />
symptoms <strong>of</strong> ADHD (mean Conners’ score = 79.07 vs. mean<br />
Conners’ score = 75.77, p
17 FAMILY-BASED COPY NUMBER VARIATION<br />
ASSOCIATION WITH ATTENTION-DEFICIT<br />
HYPERACTIVITY DISORDER<br />
C. Shtir* (1), S. Smalley (1), E. Mick (2), A. Todorov (3), B.<br />
Dechairo (4), S. Faraone (3), S. Hall (4), S. Loo (1), J.<br />
McCracken (1), J. MvGough (1), B. Neale (3), R. Todd (3), S.<br />
Nelson (1)<br />
1. University <strong>of</strong> California Los Angeles 2. Harvard <strong>Medical</strong><br />
School 3. Washington University 4. Pfizer Inc<br />
* cshtir@mednet.ucla.edu<br />
Several family and twin-based studies explored the genetic<br />
landscape attributed with risk <strong>of</strong> developing attention-deficit<br />
hyperactivity disorder (ADHD). However, major risk factors<br />
are yet to be defined. Despite strong heritability, the complex<br />
etiology <strong>of</strong> ADHD indicates that rare structural variants may<br />
play a determinant role. We present a family-based<br />
genome-wide copy number variation (CNV) screen followed<br />
by CNV association tests, with the purpose <strong>of</strong> identifying<br />
inherited and de novo ADHD-associated structural variants.<br />
To our knowledge this is the second, yet largest ADHD study<br />
characterizing effects <strong>of</strong> CNVs. A total <strong>of</strong> 733 trios<br />
ascertained through the University <strong>of</strong> California at Los<br />
Angeles, Washington University at St.Louis, and<br />
Massachusetts General Hospital were analyzed for excess<br />
transmission <strong>of</strong> CNVs and de novo mutations. Children<br />
between 6-17 years old were diagnosed according to the<br />
DSM-IV-TR criteria. UCLA trios were genotyped on the<br />
Illumina Human 1M-Duo bead array, while WASH-U and<br />
MGH samples were genotyped on the Illumina Human1M<br />
bead array. Normalized logR Ratios <strong>of</strong> total SNP signal<br />
intensities, quantile normalization and eigenstrat-based<br />
principal component analyses were used to eliminate sample<br />
and batch effects. Hidden-Markov-Model derived algorithms<br />
were employed for detection <strong>of</strong> CNVs. Associations <strong>of</strong><br />
structural variants with ADHD were assessed through linear<br />
regression models and Mann Whitney tests. We observe<br />
evidence for CNV association with ADHD for genes involved<br />
in neurological disorders and neurodevelopment pathways, for<br />
transcription factors previously reported to be susceptible for<br />
ADHD, and for a set <strong>of</strong> putative genes that may play an<br />
additional role in the biogenesis <strong>of</strong> ADHD.<br />
18 POSTNATAL EXPOSURE TO PCB153 ALTERS<br />
CATECHOLAMINE AND SECOND MESSENGER<br />
SIGNALING IN RATS: IMPLICATIONS FOR ADHD<br />
T. Das Banerjee* (1), F. Middelton (1), E. Borgå Johansen<br />
(2), T. Sagvolden (2), S. Faraone (1)<br />
1. SUNY Upstate <strong>Medical</strong> university 2. University <strong>of</strong> Oslo<br />
* dast@upstate.edu<br />
ADHD is a neurobehavioral disorder with both genetic and<br />
environmental components. PCB153 is one <strong>of</strong> the most<br />
commonly detected polychlorinated biphenyl congeners in<br />
human milk. Studies have shown that PCB153-exposed male<br />
rats exhibit hyperactivity, a characteristic behavioral symptom<br />
<strong>of</strong> ADHD. In this study we wanted to investigate the<br />
molecular mechanism by which PCB153 induces ADHD-like<br />
symptoms. The study was conducted in Wistar Kyoto (WKY)<br />
male and female rats dosed via gavage with corn oil vehicle, 3<br />
mg/kg b.w. <strong>of</strong> PCB153 from PND11-13. Brains were<br />
harvested from the experimental and control animals at<br />
PND65. For microarray screening, RNA from four dorsal<br />
striatum samples was obtained per treatment group per gender,<br />
with a total <strong>of</strong> 16 samples. RNA was processed using the<br />
recommended Affymetrix protocol and hybridized to the<br />
GeneChip Rat Gene 1.0 ST array. Gene-level as well as<br />
exon-level analyses were performed for both males and<br />
females and with them combined (in a 2 way ANOVA). Our<br />
results show that there are major disruptions <strong>of</strong> catecholamine<br />
and second messenger signaling in the brains <strong>of</strong> male and<br />
female rats exposed to PCB153. These changes appear to be<br />
gender specific. Altogether, the data suggests that postnatal<br />
exposure to PCB153 significantly alters brain circuits involved<br />
in ADHD.
19 NO EXCESS RATES OF CNV IN MALES<br />
COMPARED TO FEMALES IN<br />
NEURODEVELOPMENTAL DISORDERS AND<br />
CONTROL INDIVIDUALS<br />
I. Zaharieva* (1), A. Martin (1), K. Langley (1), C. Davies<br />
(1), E. Evans (1), S. Syed (1), R. Roberts (1), K.<br />
Mantripragada (1), N. Buttigieg (1), D. Grozeva (1), G. Kirov<br />
(1), M. O'Donovan (1), M. Owen (1), N. Williams (1), A.<br />
Thapar (1)<br />
1. Cardiff University, MRC Centre for Neuropsychiatric<br />
Genetics and Genomics<br />
* zaharievait@cardiff.ac.uk<br />
Recent studies implicate rare, large copy number variants in<br />
neurodevelopmental disorders such as schizophrenia, autism<br />
and attention deficit hyperactivity disorder (ADHD). Given<br />
the fact that neurodevelopmental disorders more commonly<br />
affect males, we wanted to investigate whether rare,<br />
large-scale copy number variants (CNV) (greater than100 kb)<br />
have higher rates in males compared to females. We used<br />
three datasets for the analysis: a dataset <strong>of</strong> 316 ADHD male<br />
patients and 50 ADHD female patients, a set <strong>of</strong> 314<br />
schizophrenia male patients and 156 schizophrenia female<br />
patients and a control set <strong>of</strong> 535 males and 512 females from<br />
1958 birth cohort. No statistically significant difference was<br />
observed when the total number <strong>of</strong> CNVs greater than 100 kb<br />
was compared between males and females in each dataset. The<br />
male to female ratio and p-values for each dataset are: ADHD<br />
male/female ratio=1.1, p=0.66; Schizophrenia male/female<br />
ratio=1.17, p=0.28; Controls male/female ratio=1.19, p=0.1.<br />
Furthermore, we saw no significant difference after stratifying<br />
the CNVs according to size. The minimum p-value observed<br />
is 0.07 in controls for the size range 100kb to 500kb<br />
(male/female ratio=1.23). In conclusion, our results show no<br />
evidence that males have an increased burden <strong>of</strong> CNVs<br />
compared to females in either ADHD or schizophrenia, and<br />
the rates are very similar to those in normal controls.<br />
20 ASSOCIATION OF DRD4 WITH CHILDHOOD<br />
ADHD COMORBIDITY IN WOMEN WITH BULIMIA<br />
NERVOSA<br />
Z. Yilmaz* (1), A. Kaplan (1), R. Levitan (1), J. Kennedy (1)<br />
1. University <strong>of</strong> Toronto<br />
* zeynep.yilmaz@utoronto.ca<br />
Purpose: Bulimia nervosa (BN) is a psychiatric disorder that<br />
predominantly affects women, and is characterized by regular<br />
binge eating, purging and characteristic psychopathology. Past<br />
research has shown that a proportion <strong>of</strong> patients with BN<br />
report a history <strong>of</strong> attention deficit/hyperactivity disorder<br />
(ADHD), and the dopaminergic genes, especially the<br />
dopamine receptor D4 (DRD4), have been associated<br />
separately with both BN and ADHD. The purpose <strong>of</strong> this<br />
study is to explore the possible role <strong>of</strong> DRD4 in predicting<br />
ADHD comorbidity in women with BN. Methods: 81 women<br />
with current or past BN purging subtype were genotyped for<br />
the presence or absence <strong>of</strong> the hyp<strong>of</strong>unctional 2-repeat<br />
and 7-repeat alleles <strong>of</strong> DRD4. Patients also completed the<br />
Wender Utah Rating Scale (WURS) for the assessment <strong>of</strong><br />
childhood ADHD history and the Brown Adult ADD Scale for<br />
current ADHD symptoms. Results: The presence either the<br />
2-repeat or 7-repeat alleles <strong>of</strong> DRD4 was associated with<br />
childhood ADHD in BN patients, as assessed by the WURS.<br />
There was no relationship between the Brown scores and the<br />
DRD4 genotype. Conclusion: The pathophysiology <strong>of</strong> both<br />
BN and ADHD may in part be related to an underlying<br />
hypodopaminergic state, and these finding may have<br />
implications for treatment, especially with dopaminergic<br />
agents, for BN patients with a childhood history <strong>of</strong> ADHD.
21 A CIS-ACTING POLYMORPHISM IN SLC9A9 IS<br />
NOT ASSOCIATED WITH ADHD IN AN IRISH<br />
SAMPLE.<br />
M. Hill* (1), Z. Hawi (2), M. Gill (2), R. Anney (2)<br />
1. Centre for the Cellular Basis <strong>of</strong> Behaviour, Department <strong>of</strong><br />
Neuroscience, The James Black Centre, Institute <strong>of</strong><br />
Psychiatry, Kings College London, 125 Coldharbour Lane,<br />
London, SE5 9NU, UK 2. Neuropsychiatric Genetics<br />
Research Group, Department <strong>of</strong> Psychiatry, Trinity College<br />
Dublin, Ireland<br />
* matthew.hill@kcl.ac.uk<br />
Introduction: Attention-deficit hyperactivity disorder (ADHD)<br />
is a common neuropsychiatric disorder with a strong genetic<br />
component. A recent genome-wide association study<br />
implicates SLC9A9 as a potential susceptibility locus. The<br />
nominally associated polymorphisms reside within non-coding<br />
regions <strong>of</strong> the gene and are thus hypothesised to confer<br />
vulnerability via altering gene expression. This study aimed to<br />
identify cis-acting variants in this promising candidate gene<br />
and test for their association with ADHD in an Irish sample.<br />
Methods: Using RNA from the HapMap CEU lymphoblasts<br />
we measured allelic expressing imbalance (AEI) <strong>of</strong> the<br />
SLC9A9 transcript using a transcribed single nucleotide<br />
polymorphism (SNP). Transmission dysequilibrium testing in<br />
an ADHD parent-child sample was performed to test for<br />
association with ADHD. Results: Moderate imbalance <strong>of</strong> the<br />
SLC9A9 transcript was observed in 7 <strong>of</strong> the 45 individuals<br />
suitable for investigation. Correlation between AEI and ~1000<br />
SNPs across the gene and flanking regions revealed a single<br />
SNP that was highly correlated with imbalance and remained<br />
significant after correction for multiple testing. Subsequent<br />
association testing revealed that this SNP was not associated<br />
with ADHD in an Irish sample. Conclusion: This study has<br />
identified moderate and infrequent allelic expression<br />
imbalance <strong>of</strong> the SLC9A9 transcript in lymphoblasts indicting<br />
the presence <strong>of</strong> cis-acting variants. A likely cis-acting variant<br />
identified by this screen was not associated with ADHD. The<br />
role <strong>of</strong> this SNP in other diseases, e.g. autism and<br />
Alzheimer’s, in which SLC9A9 is implicated is <strong>of</strong> future<br />
interest.<br />
290 BIPOLAR DISORDER CANDIDATE<br />
REGULATORY MUTATIONS IN NR2E1<br />
FUNCTIONALLY EVALUATED IN VIVO IN MICE<br />
J. Schmouth* (1), R. Bonaguro (1), C. de Leeuw (1), L.<br />
Dreolini (2)<br />
1. Centre for Molecular Medicine and Therapeutics, Child &<br />
Family Research Institute, University <strong>of</strong> British Columbia,<br />
Department <strong>of</strong> Genetics 2. Canada's Michael Smith Genome<br />
Sciences Centre, British Columbia Cancer Agency,<br />
Vancouver, Canada<br />
Background: NR2E1 is a gene coding an orphan nuclear<br />
receptor expressed in vertebrate forebrain and in the adult<br />
brain. Previous case-control studies in the Simpson laboratory<br />
associated NR2E1 with bipolar disorder and resequencing <strong>of</strong><br />
NR2E1 revealed 14 novel candidate regulatory mutations in<br />
patients suffering from either bipolar disorder or cortical<br />
malformation (microcephaly). Adult mice lacking Nr2e1<br />
(‘Fierce’ mice) display hyperactivity, increased aggression,<br />
and altered neurogenesis. A transgenic “rescue” study using<br />
random-insertion mice harboring multiple copies <strong>of</strong> the human<br />
NR2E1 gene on the Nr2e1-null background has shown that<br />
NR2E1 is sufficient to correct the fierce phenotype.<br />
Hypothesis: Candidate mutations in human NR2E1 regulatory<br />
regions will cause brain and behaviour disorders in Nr2e1-null<br />
mice. Material and methods: Five mouse models harboring<br />
human NR2E1 BAC DNA, introduced in the genome as a<br />
single copy, using the Hprt1 locus are being generated. These<br />
will be bred onto the fierce background and assessed for<br />
rescue <strong>of</strong> behavioural and histological phenotypes. Results:<br />
We have generated the positive control (wild-type) mouse<br />
strain, which is currently undergoing breeding to the fierce<br />
background. One variant sequence g.2078G>C has generated<br />
chimeric animals and the negative control (deletion allele) has<br />
been generated and been electroporated in embryonic stem<br />
cells (ESCs). Conclusion: This work may demonstrate that the<br />
candidate mutations identified in regulatory regions <strong>of</strong> human<br />
NR2E1 are capable <strong>of</strong> causing brain and behaviour disorders<br />
in mice. This will support NR2E1 as a new drug target, and<br />
the role <strong>of</strong> genetic testing as part <strong>of</strong> diagnosis and treatment <strong>of</strong><br />
bipolar disorder.
292 DOPAMINE D4 RECEPTOR GENE: POSSIBLE<br />
INFLUENCE ON ATTENTION DEFICIT<br />
HYPERACTIVITY DISORDER IN BRAZILIAN<br />
POPULATION<br />
G. Akutagava-Martins (1), G. Ferraz (1), J. Genro (1), G.<br />
Polanczyk (2), C. Zeni (3), M. Schmitz (3), L. Rohde (3), M.<br />
Hutz (1), T. Roman* (1)<br />
1. Department <strong>of</strong> Genetics, Federal University <strong>of</strong> Rio Grande<br />
do Sul, Brazil 2. Department <strong>of</strong> Psychology and Neuroscience,<br />
Duke University, USA 3. Department <strong>of</strong> Psychiatry and Legal<br />
Medicine, Federal University <strong>of</strong> Rio Grande do Sul, Brazil<br />
The dopamine D4 receptor gene (DRD4) is one <strong>of</strong> the most<br />
investigated genes in Attention deficit/hyperactivity disorder<br />
(ADHD) and has already been accepted as a susceptibility<br />
gene. The aim <strong>of</strong> present study was to search for a possible<br />
association between ADHD and the 120 bp tandem<br />
duplication <strong>of</strong> promoter region, the SNPs -616C>G (rs747302)<br />
and -521C>T (rs1800955) and the 48 bp VNTR <strong>of</strong> DRD4 gene<br />
in a Brazilian sample composed by 488 ADHD children and<br />
adolescents, diagnosed according to DSM-IV criteria, and<br />
their biological parents. The 120 bp tandem duplication and<br />
the 48 bp VNTR were genotyped by PCR, while the SNPs<br />
-616C>G and -521C>T were genotyped by PCR-RFLP. The<br />
possibility <strong>of</strong> linkage disequilibrium among the studied<br />
polymorphisms was tested using MLocus s<strong>of</strong>tware. The<br />
hypothesis <strong>of</strong> association was verified using FBAT s<strong>of</strong>tware.<br />
There was no evidence <strong>of</strong> association between each<br />
polymorphism and ADHD for the whole sample (P values<br />
ranging from 0.200 to 0.974). However, when the analysis was<br />
restricted to families where the proband presented the<br />
combined type <strong>of</strong> the disorder, the VNTR 2R allele was<br />
preferentially not transmited (P=0.033). Haplotype analyses<br />
did not show any association (P values ranging from 0.063 to<br />
0.977). The supposed protective effect <strong>of</strong> 2R allele observed<br />
herein is intriguing. This result must be interpreted cautiously<br />
and investigated through other approaches, as dimensional<br />
analyses. It is also possible that the findings, divergent from<br />
the literature, are due to DRD4 structural complexity, which<br />
should be understood to better characterize its association with<br />
ADHD.
EARLY CAREER INVESTIGATOR TRACK:<br />
ALTERNATIVE PHENOTYPES, GENE-<br />
GENE, AND GENE-ENVIRONMENT<br />
INTERACTION<br />
ECI 1 ASSOCIATION OF CAROTENOID<br />
ANTIOXIDANT AND SCHIZOPHRENIA USING<br />
NON-INVASIVE MEASUREMENT<br />
T. Chow (1), S. Tee (1), H. Loh (1), P. Tang (1), S. Soon (1)<br />
1. Universiti Tunku Abdul Rahman<br />
During stress, abnormally high neuronal activities in human<br />
brain would trigger excessive free radicals as part <strong>of</strong> the body<br />
immune response. This impairs antioxidant defense system<br />
and causes detrimental effects on signal transduction.<br />
Antioxidants are hypothesized to counteract oxidative stress<br />
and thus are suspected to be involved in stress-related<br />
disorders including schizophrenia. Carotenoids serve as a<br />
powerful free radical-neutralizing antioxidant which is<br />
absorbed in human plasma and tissue, therefore providing<br />
reliable indicator <strong>of</strong> a person’s overall antioxidant level. This<br />
study aims to investigate the possible relationship between<br />
carotenoid antioxidant level and schizophrenia. A total <strong>of</strong> 524<br />
schizophrenic subjects and 289 healthy control subjects were<br />
recruited. Subject skin carotenoid score were determined using<br />
non-invasive Raman spectroscopy technique that measures<br />
stable carotenoids in the human skin. Statistical analyses<br />
compared carotenoid score: (i) between patients and controls<br />
in different age and gender, and (ii) among patients with<br />
different subtypes, medications, and duration <strong>of</strong> illness. The<br />
results showed significant (p
at TTC12 and CHRNA3 appears to be additive. TTC12 seems<br />
to influence mainly initiation <strong>of</strong> use in adolescence. In<br />
contrast, genetic variation at CHRNA3 appears to be mainly<br />
involved in the transition towards regular/heavy use in<br />
adulthood.<br />
ECI 3 ASSOCIATION OF CHROMOSOME 20 LOCI<br />
WITH CATEGORICAL DIAGNOSES AND CLINICAL<br />
DIMENSIONS OF SCHIZOPHRENIA IN THE IRISH<br />
STUDY OF HIGH DENSITY SCHIZOPHRENIA<br />
FAMILIES<br />
T. Bigdeli* (1), B. Maher (1, 2), Z. Zhao (1, 2), E. van den<br />
Oord (3), B. Webb (3), R. Amdur (4), S. Bergen (1), F. O'Neill<br />
(5), D. Walsh (6), B. Riley (1, 2), K. Kendler (1, 2)<br />
1. Department <strong>of</strong> Human and Molecular Genetics, Virginia<br />
Institute for Psychiatric and Behavioral Genetics, Virginia<br />
Commonwealth University, Richmond, VA, USA 2.<br />
Department <strong>of</strong> Psychiatry, Virginia Institute for Psychiatric<br />
and Behavioral Genetics, Virginia Commonwealth University,<br />
Richmond, VA, USA 3. Virginia Institute for Psychiatric and<br />
Behavioral Genetics, Center for Biomarker Research and<br />
Personalized Medicine, Virginia Commonwealth University,<br />
Richmond, VA, USA 4. Mental Health Service Line,<br />
Washington VA <strong>Medical</strong> Center, Washington, DC 5.<br />
Department <strong>of</strong> Psychiatry, Queens University, Belfast, UK 6.<br />
The Health Research Board, Dublin, Ireland<br />
* bigdelitb@vcu.edu<br />
Background: Prior genomewide scans <strong>of</strong> schizophrenia<br />
support evidence <strong>of</strong> linkage to regions <strong>of</strong> chromosome 20.<br />
However, association analyses have yet to provide support for<br />
any etiologically relevant variants. Methods: We analyzed<br />
2988 LD-tagging single nucleotide polymorphisms (SNPs) in<br />
327 genes on chromosome 20, to test for association with<br />
schizophrenia in 270 Irish high-density families (ISHDSF,<br />
N=270 families, 1408 subjects). These SNPs were genotyped<br />
using an Illumina iSelect genotyping array which employs the<br />
Infinium assay. Given a previous report <strong>of</strong> novel linkage with<br />
chromosome 20p using latent classes <strong>of</strong> psychotic illness,<br />
association analysis was also conducted for each <strong>of</strong> five<br />
factor-derived scores based on the Operational Criteria<br />
Checklist for Psychotic Illness (delusions, hallucinations,<br />
mania, depression, and negative symptoms). Tests <strong>of</strong><br />
association were conducted using the PDTPHASE and<br />
QPDTPHASE packages <strong>of</strong> UNPHASED. Results: While no<br />
single variant was significant after Bonferroni-correction,<br />
initial gene-dropping simulations identified loci which<br />
exceeded empirical significance criteria for minimum<br />
genewise P value or the truncated product <strong>of</strong> P values. In<br />
particular, TOX2 shows association with both intermediate<br />
and broad diagnoses <strong>of</strong> schizophrenia. Additionally,<br />
R3HDML and C20orf39 appear to be associated with<br />
depressive symptoms <strong>of</strong> schizophrenia. Conclusions:<br />
Preliminary results overall provide evidence that chromosome<br />
20 may harbor schizophrenia susceptibility or modifier loci.<br />
Ongoing gene-dropping analyses aim to assess the empiric<br />
significance <strong>of</strong> these associations.<br />
ECI 4 EFFECTS OF MEDICATION ON<br />
MONOAMINE-RELATED GENE EXPRESSION IN<br />
BLOOD OF CHILDREN WITH TOURETTE<br />
SYNDROME<br />
I. Liao* (1), L. Lit (1), B. Corbett (1), D. Gilbert (2), S. Bunge<br />
(3), F. Sharp (1)<br />
1. University <strong>of</strong> California, Davis 2. University <strong>of</strong> Cincinnati<br />
3. University <strong>of</strong> California, Berkeley<br />
* isaacliao@gmail.com<br />
Tourette syndrome (TS), a highly heritable<br />
neurodevelopmental disorder <strong>of</strong> unknown etiology resulting in<br />
motor and verbal tics, is frequently treated with<br />
psychopharmacological agents affecting monoamine<br />
neurotransmission, such as dopamine receptor antagonists.<br />
Previous studies have demonstrated differences in gene<br />
expression in blood between TS and controls; however, some<br />
<strong>of</strong> these differences might reflect medication effects. To<br />
address this, we examined gene expression in the peripheral<br />
blood <strong>of</strong> 28 medicated TS subjects (MED) and 26<br />
unmedicated TS subjects (UNMED) using whole-genome<br />
Affymetrix microarrays. Expression <strong>of</strong> the D2 dopamine<br />
receptor gene (DRD2) was correlated with tic severity in MED<br />
but not UNMED, suggesting an effect <strong>of</strong> medication on<br />
DRD2. Expression <strong>of</strong> the epsilon subunit <strong>of</strong> the GABA<br />
receptor (GABRE), which results in insensitivity to<br />
anesthetics and increases the opening probability <strong>of</strong> the<br />
GABA receptor, was negatively correlated with tic severity in<br />
UNMED but not MED. In addition, expression <strong>of</strong><br />
phenylethanolamine N-methyltransferase (PNMT), an enzyme<br />
responsible for the synthesis <strong>of</strong> epinephrine from<br />
norepinephrine (NE), was positively correlated with tic<br />
severity in UNMED but not MED. Because GABRE is found<br />
on NE-ergic neurons in the locus coeruleus, and the locus<br />
coeruleus receives PNMT-rich projections, these findings<br />
support current pharmacological clinical data that suggest an<br />
abnormality in locus coeruleus/NE circuits in TS. In addition,<br />
these findings demonstrate the effects <strong>of</strong> medication on blood<br />
gene expression in TS.
ECI 5 ANALYSIS OF DAT1 AND 5HTT GENES ADN<br />
PSYCHOSOCIAL ADVERSITIES IN ADOLESCENT<br />
INHABITANTS OF MEXICO CITY<br />
G. Martinez Levy* (1), M. Cardenas-Godinez (1), M.<br />
Briones Velasco (1), A. Gomez-Sanchez (1), E. Mendez (1),<br />
B. Corina (1)<br />
1. Instituto Nacional De Psiquiatria Ramon De La Fuente<br />
Muñiz<br />
* gaaml82@yahoo.com.mx<br />
Attention Deficit Hyperactivity Disorder (ADHD) is a<br />
clinically multifactorial mental disorder. Its etiology is<br />
unknown, however a complex interplay between genetic and<br />
environmental factors has been proposed. Three thousand and<br />
five subjects (12-18 years old) inhabitants <strong>of</strong> the metropolitan<br />
area <strong>of</strong> Mexico City, were interviewed face to face using the<br />
Adolescent-CIDI-CAPI, which generates a psychiatric<br />
diagnosis based on the DSM IV-R and ICD-10 criteria.<br />
Psychosocial adversity information was also gathered from<br />
this survey. Three hundred and two individual fulfill diagnosis<br />
criteria for ADHD, with 252 cases that agreed to give a saliva<br />
sample. They were typed for the LPR localized in the<br />
promoter region <strong>of</strong> 5HTT and the VNTR <strong>of</strong> the 5 region <strong>of</strong> the<br />
DAT1 gene, and compared with 284 DNA samples randomly<br />
chosen <strong>of</strong> the 833 participants who did not fulfill diagnostic<br />
criteria for any psychiatric disorder and gave saliva sample.<br />
Physical abuse, negligence, substance use and criminal<br />
conduct in parents as well as family violence were adversities<br />
clearly associated with the diagnosis <strong>of</strong> ADHD. No<br />
differences in genotypic or allelic frequencies for these<br />
particular variants were observed between cases and controls.<br />
Evaluations <strong>of</strong> the interaction among these molecular and<br />
psychosocial variables, as well as the analysis <strong>of</strong> other<br />
candidate genes are in progress.<br />
ECI 6 MATERNAL SMOKING DURING PREGNANCY,<br />
OFFSPRING BEHAVIORAL DISORDERS, AND THE<br />
SEROTONIN 1B RECEPTOR<br />
A. Talati* (1), S. Hamilton (2), P. Wickramaratne (1), S.<br />
Hodge (1), M. Weissman (1)<br />
1. Columbia University 2. University <strong>of</strong> California San Diego<br />
* at2071@columbia.edu<br />
Background: Smoking by mothers during pregnancy is<br />
associated with a number <strong>of</strong> adverse physiological and<br />
behavioral outcomes among their <strong>of</strong>fspring, including<br />
premature birth, lower birth-weight, cognitive impairment, and<br />
behavioral and substance use disorders. We present here<br />
findings on the long-term effects <strong>of</strong> maternal smoking<br />
exposure on <strong>of</strong>fspring, and further investigate genetic<br />
underpinnings <strong>of</strong> the association. Method: Mothers and<br />
<strong>of</strong>fspring were interviewed at multiple waves spanning more<br />
than twenty years. Psychiatric diagnoses were determined at<br />
each wave using the age-appropriate version <strong>of</strong> the Schedule<br />
for Affective Disorders and Schizophrenia (SADS). Smoking<br />
during pregnancy was ascertained by maternal self-report;<br />
<strong>of</strong>fspring were classified based on whether or not their mother<br />
smoked ≥10 cigarettes per day, nearly every day. Final<br />
diagnoses <strong>of</strong> mothers and <strong>of</strong>fspring were made independently,<br />
using the best estimate procedure, and blind to maternal<br />
smoking and previous child and maternal assessments. Single<br />
nucleotide polymorphisms (SNPs) were tested within the<br />
serotonin transporter (SLC6A4) and 1B (HTR1B) receptor,<br />
and the monoamine oxidase A variable nucleotide repeat<br />
region (MAOAVNTR). Results: After adjusting for multiple<br />
potential confounders, maternal smoking during pregnancy<br />
was associated with a 3-fold increase in drug and alcohol use<br />
disorders among female, and a two-fold increase in conduct<br />
disorder among male, <strong>of</strong>fspring. One SNP rs6298, located<br />
within the coding region <strong>of</strong> HTR1B was associated with a<br />
five-fold increase in AUD and a nine-fold increase in CD.<br />
When the association between smoke exposure and <strong>of</strong>fspring<br />
psychopathology was further stratified by the genotype at the<br />
above polymorphism, exposure to smoking was associated<br />
with CD among <strong>of</strong>fspring with TT but not CC/CT genotypes.<br />
Conclusion: Our data show that HTR1B is associated with<br />
conduct and alcohol use disorders, and suggest that HTR1B<br />
may further moderate the impact <strong>of</strong> exposure to maternal<br />
prenatal smoking on <strong>of</strong>fspring psychopathology.
ANIMAL MODELS<br />
22 THE DOG AS A GENETIC MODEL FOR SOCIAL<br />
BEHAVIORS: PRELIMINARY INVESTIGATION OF<br />
SOCIAL INTERACTIVE BEHAVIORS IN DOGS<br />
USING GENOME WIDE ANALYSIS<br />
L. Lit* (1), S. Boyd (2), D. Hessl (1), D. Bannasch (3)<br />
1. Dept <strong>of</strong> Psychiatry & M.I.N.D. Institute, University <strong>of</strong><br />
California Davis 2. Chief, Section <strong>of</strong> Genetics; Children's<br />
Miracle Network Endowed Chair; M.I.N.D. Institute,<br />
University California Davis 3. Dept <strong>of</strong> Population Health &<br />
Reproduction, School <strong>of</strong> Veterinary Medicine, University <strong>of</strong><br />
California Davis<br />
* llit@ucdavis.edu<br />
Currently, there are no animal models that can provide insight<br />
into the genetic underpinnings <strong>of</strong> normal social behaviors that<br />
are impaired in neurodevelopmental disorders. Social<br />
interactive behaviors between domestic dogs (Canis<br />
familiaris) and humans have been well documented<br />
experimentally. It has been hypothesized that a limited subset<br />
<strong>of</strong> wild canids originally displayed the social characteristics<br />
necessary to interact with humans, ultimately resulting in<br />
domestication. This suggests that some genes contributing to<br />
social interactive behaviors might predate breed formation,<br />
and that these genes would be associated with social behaviors<br />
irrespective <strong>of</strong> breed. We asked owners <strong>of</strong> 14 dogs (1 Basset<br />
Hound, 1 Black Russian Terrier, 2 Dalmatians, 1 Petit Basset<br />
Griffon Vendeen, 7 Nova Scotia Duck Tolling Retrievers, and<br />
2 mixed breed dogs) to complete surveys comprising owner<br />
report <strong>of</strong> social interactive behaviors observed in their dogs.<br />
Subscales representing initiation <strong>of</strong> reciprocal social behaviors<br />
(INIT), response to social interactions with humans (RSPNS),<br />
communication with humans (COMM), and attention (ATT)<br />
were derived from responses using factor analysis.<br />
Genome-wide SNP data for these dogs was generated using<br />
127K Affymetrix canine SNP arrays. Using subscales as<br />
input, we performed genome-wide quantitative trait<br />
association analysis with 10,000 permutations to determine<br />
SNPs associated with each subscale. SNPs were identified<br />
that corresponded to genes or regions homologous to those in<br />
humans associated with autism, ADHD, and schizophrenia.<br />
This contributes to the validity <strong>of</strong> the domestic dog as a model<br />
to investigate naturally occurring variation in social behaviors<br />
impaired in neurodevelopmental disorders in humans.<br />
23 SUSCEPTIBILITY TO ANTIPSYCHOTIC-INDUCED<br />
VACUOUS CHEWING MOVEMENTS AND OTHER<br />
EXTRAPYRAMIDAL SYMPTOMS ARE HIGHLY<br />
HERITABLE TRAITS IN MICE<br />
J. Crowley* (1), C. Quackenbush (1), A. Pratt (1), D. Adkins<br />
(2), E. van den Oord, M. Bogue (3), H. McLeod (1), P.<br />
Sullivan (1)<br />
1. UNC Chapel Hill 2. VCU 3. The Jackson Laboratory<br />
* crowley@unc.edu<br />
Around 50% <strong>of</strong> patients with schizophrenia discontinue<br />
assigned treatments due to intolerable adverse drug reactions<br />
(ADRs), but there are no clinically useful tests to predict<br />
individual risk. The primary ADRs limiting the utility <strong>of</strong><br />
typical antipsychotic drugs are extrapyramidal side effects<br />
(EPS), most notably tardive dyskinesia (TD), characterized by<br />
involuntary or<strong>of</strong>acial movements. The confident identification<br />
<strong>of</strong> TD susceptibility genes in human patients has proven to be<br />
very difficult and it remains unclear if TD susceptibility is<br />
sufficiently heritable to expect the identification <strong>of</strong> useful<br />
genetic predictors. To address these limitations, we have used<br />
a genetically diverse panel <strong>of</strong> mice to calculate the heritability<br />
<strong>of</strong> antipsychotic-induced EPS. A total <strong>of</strong> 18 inbred mouse<br />
strains (N = 5 mice per strain) were chronically treated with<br />
haloperidol (3 mg/kg/day) for 120 days and monitored for the<br />
development <strong>of</strong> vacuous chewing movements (VCMs; the<br />
mouse analog <strong>of</strong> TD) and other movement phenotypes derived<br />
from open field activity and an inclined screen test. These<br />
longitudinal data allowed us to calculate the heritability <strong>of</strong> the<br />
over-time response trajectories induced by haloperidol<br />
treatment (ratio <strong>of</strong> strain-level variance to strain-level +<br />
mouse-level variance). Every movement phenotype examined<br />
showed an across-time drug response heritability >50% and<br />
VCMs demonstrated an 81% heritability. Furthermore,<br />
confirmatory factor analysis revealed two significant factors<br />
underlying the movement response trajectories, with one<br />
factor explaining most <strong>of</strong> the variance in the locomotor<br />
activity response trajectories and the other primarily<br />
explaining the or<strong>of</strong>acial movement response trajectories.<br />
These data suggest that mapping <strong>of</strong> susceptibility alleles for<br />
EPS is a worthwhile endeavor. To our knowledge, this is the<br />
first demonstration that VCMs, the murine analog <strong>of</strong> TD, is a<br />
highly heritable mammalian trait.
24 EFFECTS OF PRENATAL NICOTINE EXSPOSURE<br />
ON DOPAMINERGIC GENE EXPRESSION AND<br />
METHYLATION STATUS<br />
N. Ilott* (1), J. Mill (1), P. Asherson (1), I. Stolerman (2), L.<br />
Bizarro (3)<br />
1. MRC SGDP Research Centre, Institute <strong>of</strong> Psychiatry, Kings<br />
College, London 2. Section <strong>of</strong> Behavioural Pharmacology,<br />
Institute <strong>of</strong> Psychiatry, King's College London 3.<br />
Universidade Federal Do Rio Grande do Sul, Departamento de<br />
Psicologia do Desenvolvimento e da Personalidade, Instituto<br />
de Psicologia, Rua Ramiro Barcellos 2600, Porto Alegre - -<br />
RS, Brasil<br />
* nicholas.ilott@iop.kcl.ac.uk<br />
Smoking during pregnancy (SDP) is an important risk factor<br />
for a number <strong>of</strong> developmental conditions including sudden<br />
infant death syndrome (SIDS) and behavioural abnormalities.<br />
Human studies have identified SDP as contributing to the<br />
development <strong>of</strong> externalizing behaviours such as Attention<br />
Deficit Hyperactivity Disorder (ADHD) and Antisocial<br />
Behaviour (ASB) although the causal role <strong>of</strong> tobacco exposure<br />
remains unclear. Animal studies have provided an insight into<br />
the behavioural consequences <strong>of</strong> gestational nicotine with<br />
suggested associations with increased locomotor activity,<br />
heightened anxiety as well as learning deficits. Molecular<br />
mechanisms underlying these behavioural consequences have<br />
been considered, with evidence suggesting long-lasting effects<br />
on nicotinic acetylcholine receptor (nAchR) subunit<br />
expression and neurotransmitter signaling. Here we investigate<br />
altered regulation <strong>of</strong> dopamine system genes because <strong>of</strong> the<br />
central role <strong>of</strong> dopaminergic transmission in ADHD. We<br />
studied expression and methylation patterns <strong>of</strong> five<br />
dopaminergic genes in the striatum and frontal cortex <strong>of</strong> adult<br />
rats prenatally exposed to nicotine. We found no major<br />
differences in either mRNA expression or promoter<br />
methylation for any <strong>of</strong> the genes investigated, although there<br />
was a small but significant increase in dopamine receptor D5<br />
(DRD5) mRNA expression in striatum <strong>of</strong> exposed animals<br />
compared to controls. Therefore we report no major effects <strong>of</strong><br />
gestational nicotine on the expression or methylation <strong>of</strong> the<br />
genes we have investigated. This work is being extended to an<br />
investigation at the level <strong>of</strong> the transcriptome and methylome<br />
to provide an unbiased approach for looking at gene regulation<br />
by gestational nicotine.<br />
25 BRAIN GENE EXPRESSION IN MICE<br />
HYPOMORPHIC FOR NEUREGULIN 1 (NRG1) AND<br />
THE EFFECTS OF THE ATYPICAL ANTIPSYCOTIC<br />
CLOZAPINE<br />
A. Byrnes* (1), J. Crowley (2), T. Konneker (2), J. Dackor<br />
(2), F. Wright (1), E. Anton (3), P. Sullivan (2)<br />
1. Department <strong>of</strong> Biostatistics, University <strong>of</strong> North Carolina at<br />
Chapel Hill, NC 2. Department <strong>of</strong> Genetics, University <strong>of</strong><br />
North Carolina at Chapel Hill, NC 3. Department <strong>of</strong> Cell and<br />
Molecular Physiology, University <strong>of</strong> North Carolina at Chapel<br />
Hill, NC<br />
* abyrnes@bios.unc.edu<br />
Schizophrenia (SCZ) is a severe and highly heritable<br />
psychiatric disorder for which neuregulin 1 (NRG1) may play<br />
an etiological role. Mice hypomorphic for Nrg1 have been<br />
shown to exhibit SCZ-like characteristics that are ameliorated<br />
with clozapine and represent a potential animal model for<br />
SCZ. The study aims to explore the effects <strong>of</strong> a Nrg1 mutation<br />
on forebrain gene expression and the effects <strong>of</strong> clozapine. We<br />
compared gene expression in forebrain from 8 Nrg1<br />
hypomorphic and 8 wild type mice using the Illumina and<br />
Affymetrix expression assays treated with vehicle along with<br />
8 Nrg1 hypomorphic and 8 wild type mice treated with the<br />
atypical antipsychotic clozapine. Statistical analyses<br />
contrasted the effects <strong>of</strong> strain (Nrg1 hypomorph vs wild type)<br />
and drug (vehicle vs clozapine). As expected, we found that<br />
Nrg1 expression was significantly higher in wild type mice as<br />
compared to hypomorphic mice. Other differentially expressed<br />
transcripts include ADP-ribosylation factor-like 3 (Arl3) and<br />
Hermansky-Pudlak syndrome 1 homolog (Hps1).<br />
Transcription <strong>of</strong> mitochondrial tryptophanyl tRNA synthetase<br />
2 (Wars2) and interleukin-1 receptor-associated kinase (Irak)<br />
appear to be altered by treatment with clozapine. Irak also<br />
showed significant interaction effects, as did member RAS<br />
oncogene family (Rab). Numerous pathways were also<br />
significant in these analyses. These include immune function<br />
and response to stimulus and olfactory receptors which<br />
appears to have convergent validity with respect to recent SCZ<br />
GWAS results.
26 THE KNOCKOUT MOUSE REPOSITORY<br />
HTTP://WWW.KOMP.ORG/<br />
R. O'Neill* (1), P. de Jong (2), K. Lloyd (3)<br />
1. DCM, NCRR, NIH 2. Children's Oakland Research Institute<br />
3. University <strong>of</strong> California, Davis<br />
* oneillr@mail.nih.gov<br />
Genome wide association studies (GWAS) and other<br />
investigations <strong>of</strong> human psychiatric conditions are discovering<br />
the association <strong>of</strong> specific phenotypes with various gene<br />
alleles and single nucleotide polymorphisms (SNPs). In<br />
followup experiments, knocking out one specific gene in an<br />
animal model can determine the function <strong>of</strong> a gene suspected<br />
<strong>of</strong> causing the human condition. More than 2,000 different<br />
mouse Embryonic stem (ES) cell lines carrying specific gene<br />
knockouts (KOs) can be obtained from the Knockout Mouse<br />
Program (KOMP) Repository. In addition, KO vectors<br />
useful for targeting recombination in ES cells, and KO mice,<br />
are currently available. In 2011, ~8,500 such individual gene<br />
KOs will be available from the KOMP repository.<br />
http://www.komp.org/can be queried to see if an individual<br />
investigator's gene <strong>of</strong> interest is already available, or to<br />
register interest in a specific KO that will or could be made.<br />
More than 100 <strong>of</strong> the 2,000 KOs currently available have<br />
annotations in Online Mendelian Inheritance in Man. Several<br />
vector constructs are used to make KOs, and conditional<br />
vectors allow tissue-specific or cell-type-specific perturbations<br />
within the nervous system. This is done by temporally or<br />
spatially restricting expression <strong>of</strong> the KO vector phenotype via<br />
combination with various patterns <strong>of</strong> Cre-recombinase<br />
expression (>100 Cre-drivers from<br />
http://www.credrivermice.org/). Nineteen Institutes and<br />
Centers at NIH fund these efforts, with the repository located<br />
at the University <strong>of</strong> California, Davis and the Children's<br />
Oakland Research Institute; with major partners at the Sanger<br />
Institute in the U.K.; Velocigene at Regeneron, Inc.; and the<br />
Jackson Laboratory.<br />
294 A RECENT SINE INSERTION CREATED A<br />
COMT-OVEREXPRESSING, BEHAVIOUR<br />
MODIFYING ALLELE IN MANY INBRED MOUSE<br />
STRAINS.<br />
R. Kember* (1), C. Fernandes (1), E. Tunbridge (2), L. Liu<br />
(1), J. Payo-Cano (1), H. Lad (1), M. Parsons (1), L.<br />
Schalkwyk (1)<br />
1. Institute <strong>of</strong> Psychiatry, Kings College London 2.<br />
Department <strong>of</strong> Psychiatry, University <strong>of</strong> Oxford<br />
Comt is a key enzyme <strong>of</strong> neurotransmitter catabolism and a<br />
perennial candidate gene for human psychiatric disorders. In<br />
mouse it is located in a large genomic region <strong>of</strong> extremely low<br />
variation among the classical inbred strains, with only four<br />
known putative SNPS in 600 Kb. The strain C57BL/6J and<br />
others including 129 (multiple substrains) have a B2 SINE<br />
insertion in the 3' UTR which is not present in others<br />
including DBA/2J and C3HeB/FeJ. A stringent association<br />
test, using over 700 highly outbred mice with data from an<br />
extensive behavioural battery, indicates that this insertion<br />
allele is responsible for differences in behaviour related to<br />
exploration and anxiety. Differences in the gene expression<br />
level and in the activity <strong>of</strong> the enzyme itself (74% increase in<br />
activity with the insertion) indicate a mechanism for these<br />
behavioural effects. This finding robustly shows that a<br />
relatively modest difference in Comt expression (comparable<br />
to the human Val/Met polymorphism) can have demonstrable<br />
phenotypic effects across behaviours in a human-like variety<br />
<strong>of</strong> outbred genetic backgrounds.
ANXIETY DISORDERS<br />
27 A PH SENSITIVE SODIUM CHANNEL IS A<br />
POTENTIAL CANDIDATE GENE FOR PANIC<br />
DISORDER<br />
N. Gregersen* (1), H. Nørmølle Buttenschøn (2), M.<br />
Nyegaard (1), H. Dahl (3), A. Hedemand (1), A. Suhl<br />
Kristensen (2), D. Woldbye (4), S. Joensen (5), T. A. Kruse<br />
(3), A. Børglum (1), O. Mors (2)<br />
1. Inst. <strong>of</strong> Human Genetics, Aarhus University, Denmark 2.<br />
Center for Psychiatric Research, Aarhus University Hospital,<br />
Risskov, Denmark 3. Dept. <strong>of</strong> Clinical Biochemistry and<br />
Genetics, University <strong>of</strong> Southern Denmark 4.<br />
Neuropsychiatric Recearch Laboratory, University <strong>of</strong><br />
Copenhagen, Denmark 5. Dept. <strong>of</strong> Psychiatry, National<br />
Hospital, Faroe Islands<br />
* noomigregersen@mac.com<br />
INTRODUCTION: A genome wide scan conducted on 13<br />
patients with panic disorder, PD, from the isolated population<br />
<strong>of</strong> the Faroe Islands, observed significant association with<br />
chromosome 17p11.2. This chromosomal region contains the<br />
pH sensitive sodium channel ACCN1. Markers within this<br />
gene have shown to be significantly associated with PD. The<br />
aim <strong>of</strong> current study was to replicate the findings on<br />
chromosome 17 in a new Faroese PD sample and in an<br />
outbred Danish sample <strong>of</strong> patients with PD and control<br />
individuals. METHODS: We have genotyped 50tagSNPs in<br />
the ACCN1 gene region using the Sequenom platform<br />
(Sequenom, Inc.San Diego, USA) and the Lightcycler 480<br />
Genotyping master (RocheApplied Science, Mannheim,<br />
Germany). DNA from 14 patients with PD and 119 controls<br />
was obtained from the Genetic Biobank <strong>of</strong> the Faroe Islands.<br />
The Danish population consisted <strong>of</strong> 365 cases and 649 control<br />
individuals. For statistical analysis we used PLINK<br />
(https://gene.gram.au.dk/bcos/index.html). RESULTS: One <strong>of</strong><br />
the markers was significantly associated with PD in the new<br />
Faroese sample (rs9906088: p=0.0268). In the combined<br />
Faroese case-control sample consisting <strong>of</strong> 27 cases and 162<br />
controls four SNP´s were significantly associated with PD<br />
(p-values ranging from 0.008p to 0.0144). Three SNP´s were<br />
significantly associated with PD in the Danish<br />
case-controlsample (p-values ranging from 0.0002 to 0.0139).<br />
DISCUSSION: These results indicate ACCN1 to be a<br />
potential candidate gene for PD. However, further studies are<br />
needed. Furthermore, we were not able to replicate the most<br />
significantly associated marker from the previous study.<br />
ACKNOWLEDGEMENTS: Genetic Biobank <strong>of</strong> the Faroes<br />
for samples and the Lundbeck foundation for financing the<br />
project.<br />
28 G ALLELE CARRIERS AT 5HT1A HAVE AN<br />
INCREASED RISK FOR MIXED ANXIETY AND<br />
DEPRESSION<br />
E. Molina (1), J. Cervilla (2), M. Rivera (3), B. Gutiérrez (1)<br />
1. CIBERSAM UGR, Spain 2. CIBERSAM UGR, HU San<br />
Cecilio, Spain 3. CIBERSAM UGR, Institute <strong>of</strong> Psychiatry<br />
London<br />
Serotonin 1A receptors are key regulators <strong>of</strong> serotonin activity<br />
and their dys-regulation might be involved in the pathology <strong>of</strong><br />
major depression (MD) and generalized anxiety disorder<br />
(GAD). Previous studies have yielded inconclusive results as<br />
to whether the 5-HT1A receptor gene has a role in the<br />
aetiology <strong>of</strong> MD and no study up to date had studied this<br />
polymorphism on either pure MD or MD comorbid with<br />
GAD. We aim to clarify the putative role <strong>of</strong> the C (-1019) G<br />
polymorphism at the serotonin 1A receptor gene in the<br />
aetiology <strong>of</strong> both MD and GAD and comorbid MD/GAD<br />
states. DSM-IV MD and GAD diagnoses were ascertained<br />
using the Composite International Diagnostic Interview and<br />
the Primary Care Evaluation <strong>of</strong> Mental Disorders Patient<br />
Health Questionary, respectively. 1059 sujects who took part<br />
in the PREDICT-GENE study (1) were included for molecular<br />
analyses using Sequenom platform. Carrying the G allele <strong>of</strong><br />
the C (-1019) G polymorphism was associated with MD (OR<br />
= 1.67, 95%CI = 1.14 - 2.44, p = 0.008) but this association<br />
became non-significant after adjusting by presence <strong>of</strong> GAD<br />
(OR = 1.43, 95%CI = 0.958-2.141, p = 0.080). Similarly, the<br />
C (-1019) G polymorphism was univariately associated with<br />
GAD (Crude: OR = 2.54, 95%CI = 1.28-4.861, p = 0.003),<br />
although adjusting by MD made results no longer significant<br />
(OR =1.97, 95%CI = 0.991-3.910, p=0.05). However, we<br />
found a solid significant association between carrying the G<br />
allele and comorbid MD and GAD (OR =3.41, 95% CI =<br />
1.444-8.048, p = 0.005) which remained robust and<br />
statistically significant after adjusting by sex, age and family<br />
history <strong>of</strong> psychological problems (OR =2.82, 95%CI =<br />
1.177-6.772, p = 0.020). Our results suggest that the C (-1019)<br />
G serotonin 1A polymorphism confers a risk for the frequent<br />
clinical presentation <strong>of</strong> comorbid MD and GAD but not for<br />
either <strong>of</strong> these disorders alone after adjusting by presence <strong>of</strong><br />
one another.
29 REPLICATION OF A GENOME-WIDE<br />
ASSOCIATION STUDY OF PANIC DISORDER IN A<br />
JAPANESE POPULATION<br />
T. Otowa* (1), T. Minato (1), N. Sugaya (2), K. Inoue (3), T.<br />
Shimada (1), Y. Kawamura (1), M. Tochigi (1), T. Umekage<br />
(1), H. Tanii (4), T. Miyagawa (5), N. Nishida (5), K.<br />
Tokunaga (5), Y. Okazaki (6), H. Kaiya (7), T. Sasaki (8)<br />
1. Department <strong>of</strong> Neuropsychiatry, Graduate School <strong>of</strong><br />
Medicine, the University <strong>of</strong> Tokyo 2. Outpatient Clinic for<br />
Anxiety Disorders, Akasaka Mental Clinic 3. Department <strong>of</strong><br />
Public Health, Fujita Health University School <strong>of</strong> Medicine 4.<br />
Department <strong>of</strong> Neuropsychiatry, Graduate School <strong>of</strong><br />
Medicine, Mie University 5. Department <strong>of</strong> Human Genetics,<br />
Graduate School <strong>of</strong> Medicine, the University <strong>of</strong> Tokyo 6.<br />
Department <strong>of</strong> Neurology, Tokyo Metropolitan Matsuzawa<br />
Hospital 7. Research Center for Panic Disorder, Nagoya<br />
Mental Clinic 8. Office for Mental Health Support and<br />
Graduate School <strong>of</strong> <strong>Education</strong>, the University <strong>of</strong> Tokyo<br />
* totowa-psy@umin.ac.jp<br />
Panic disorder (PD) is an anxiety disorder characterized by<br />
recurrent and unexpected panic attacks, subsequent worry, and<br />
phobic avoidance. Although a number <strong>of</strong> association and<br />
linkage studies have been conducted, no gene has been<br />
identified as a susceptibility locus. We previously conducted a<br />
genome-wide association analysis <strong>of</strong> PD in 200 Japanese<br />
patients and the same number <strong>of</strong> controls, using a 500K single<br />
nucleotide polymorphisms (SNPs) chip. Here we report a<br />
replication analysis <strong>of</strong> PD using the DigTag2 assay. DigTag2<br />
assay is suitable for genotyping an intermediate number <strong>of</strong><br />
SNPs with high accuracy. The second stage sample consisted<br />
<strong>of</strong> 558 Japanese patients and 566 controls. Thirty-two markers<br />
were tested in a replication sample. As a result, no significant<br />
association could be found after correction for multiple<br />
testing. However, the difference was observed at the nominal<br />
allele P-value < 0.05 for two SNPs (rs6733840 and rs132617).<br />
Further studies on these variants with a larger sample size may<br />
be worth testing to confirm the results.<br />
30 GENETICS OF PANIC DISORDER: A<br />
GENOME-WIDE ASSOCIATION STUDY<br />
J. Schumacher* (1), C. Allgulander (2), E. Binder (3), J.<br />
Deckert (4), K. Domschke (5), A. Erhardt (3), E. Eriksson (6),<br />
J. Ioannidis (7), J. Kennedy (8), A. Kristensen (9), E. Maron<br />
(10), A. Metspalu (10), O. Mors (9), J. Nurnberger (11), T.<br />
Otowa (12), R. Philibert (13), A. Reif (4), M. Rietschel (14),<br />
T. Sasaki (12), T. Schulze (1), D. Woldbye (15), F. McMahon<br />
(1)<br />
1. NIMH Bethesda 2. Karolinska Institute 3. MPI Munich 4.<br />
Univ. Wuerzburg 5. Univ. Muenster 6. Univ. Goteborg 7.<br />
Univ. Ioannina 8. Univ. Toronto 9. Univ. Aarhus 10. Univ.<br />
Tartu 11. Univ. Indiana 12. Univ. Tokyo 13. Univ. Iowa 14.<br />
Univ. Heidelberg 15. Univ. Copenhagen<br />
* schumacherj@mail.nih.gov<br />
Panic disorder (PD) is a severe, heritable condition affecting<br />
about two percent <strong>of</strong> the population. The mode <strong>of</strong> inheritance<br />
is complex and involves multiple contributing genes, each <strong>of</strong><br />
small to moderate effect. Although genetic linkage has been<br />
reported to a number <strong>of</strong> chromosomal regions, no linkage<br />
finding has been replicated consistently throughout all studies.<br />
In addition, all candidate gene association studies applied to<br />
PD so far have failed to deliver definitive results. There is<br />
increasing evidence that genome-wide association (GWA)<br />
studies represent a promising approach to the identification <strong>of</strong><br />
genes involved in complex disorders, such as PD. The Panic<br />
International Consortium (PANIC) was established as a<br />
collaborative approach involving most <strong>of</strong> the leading<br />
international PD research groups (from the Universities <strong>of</strong><br />
Aarhus, Copenhagen, Goteborg, Heidelberg, Indiana, Iowa,<br />
Münster, Tartu, Tokyo, Toronto, Würzburg, the Karolinska<br />
Institute in Stockholm, the MPI in Munich, and the NIMH),<br />
with statistical advice from John Ioannidis (University <strong>of</strong><br />
Ionnina). The initial goal was to complete a GWA on one <strong>of</strong><br />
the largest PD samples. In total, the PANIC sample consists <strong>of</strong><br />
>2,000 patients and > 2,000 controls from two different<br />
populations, which were collected at 12 different research<br />
sites. The GWA results on the full PANIC sample will be<br />
presented. The identified genes may represent promising<br />
targets for functional studies aimed at improved diagnosis and<br />
treatment.
AUTISM<br />
31 SOCIAL RESPONSIVENESS SCALE:<br />
STANDARDIZATION AND VALIDATION OF THE<br />
DUTCH ADULT VERSION<br />
W. De la Marche* (1), E. Scholte (2), J. Steyaert (1, 3), M.<br />
Dorst (2), I. van Berckelaer-Onnes (2), I. Noens (4)<br />
1. Child and Adolescent Psychiatry Dep., UPC-K.U.Leuven,<br />
Belgium . Faculty <strong>of</strong> Social and Behavioral Sciences, Leiden<br />
University, Netherlands 3. Clinical Genetics Dep., University<br />
Maastricht, Netherlands 4. Faculty <strong>of</strong> Psychology and<br />
<strong>Education</strong>al Studies, K.U.Leuven, Belgium<br />
* wouter.delamarche@uz.kuleuven.be<br />
Background: Autistic traits tend to be continuously distributed<br />
in the general population. The Social Responsiveness Scale<br />
(SRS) (Constantino et al., 2003) is a 65-item reporter based<br />
questionnaire that has proven to quantify autistic traits in a<br />
reliable way. We translated the adult research SRS into Dutch<br />
and generated a self-report version <strong>of</strong> this questionnaire,<br />
approved by Dr. Constantino and the original publisher.<br />
Objectives: 1. To confirm the validity <strong>of</strong> the Dutch informant-<br />
and self-report adult SRS in the general Dutch-speaking<br />
population (the Netherlands and Flanders, Belgium). 2. To<br />
describe the distribution <strong>of</strong> autistic traits as measured by the<br />
SRS in the general population. Methods: Randomly selected<br />
adults in the Netherlands and Flanders (Belgium) were asked<br />
to fill out SRS questionnaires about themselves and their<br />
partner and vice versa. Only questionnaires without missing<br />
items were taken into account for the analyses. Results:<br />
Preliminary results from the Netherlands (N=866 for<br />
self-report, N=694 for partner-report) show a good test-retest<br />
reliability (self-report: 0.90; partner-report: 0.91). Total<br />
internal consistency is high for both versions <strong>of</strong> the Dutch<br />
SRS (0.93 and 0.95), with two items not (or even negatively)<br />
correlating with the total score. More results will be available<br />
at the ISPG conference. Conclusions: Our results suggest that<br />
the Dutch Social Responsiveness Scale for Adults and the<br />
newly developed self-report version <strong>of</strong> this questionnaire have<br />
psychometric properties comparable to the original SRS for<br />
children, with a few small exceptions.<br />
32 ASSOCIATION BETWEEN A HIGH-RISK AUTISM<br />
LOCUS AND AUTISM-SPECTRUM<br />
DISORDER-RELATED PHENOTYPES IN THE AVON<br />
LONGITUDINAL STUDY OF PARENTS AND<br />
CHILDREN (ALSPAC)<br />
B. Glaser* (1), K. Wang (2), J. Glessner (2), J. Golding (3),<br />
C. Steer (3), S. Grant (2), H. Hakonarson (2), G. Davey Smith<br />
(1)<br />
1. <strong>Medical</strong> Research Council Centre for Causal Analysis in<br />
Translational Epidemiology and Department <strong>of</strong> Social<br />
Medicine, University <strong>of</strong> Bristol, Bristol, UK 2. Children’s<br />
Hospital <strong>of</strong> Philadelphia, Philadelphia, US 3. Centre for Child<br />
and Adolescent Health, Department <strong>of</strong> Community Based<br />
Medicine, University <strong>of</strong> Bristol, Bristol, UK<br />
* B.Glaser@bris.ac.uk<br />
Autism spectrum disorders (ASDs) are highly heritable<br />
childhood neuro-developmental conditions, which are<br />
characterised by impairment <strong>of</strong> social interaction and<br />
communication, and repetitive interests, behaviours, and<br />
activities. Recent genome-wide analysis revealed evidence for<br />
a genetic variant on 5p14.1 (rs4307059), which is associated<br />
with risk for ASD. It is unclear however if this risk variant<br />
also relates to a quantitative trait locus underlying a broader<br />
autism phenotype. We therefore studied association between<br />
ASD-related phenotypes and variation in rs4307059 in up to<br />
7313 ALSPAC children, representative <strong>of</strong> the general<br />
population. For this we explored a battery <strong>of</strong> cognitive tests<br />
and questionnaires, administered between the age <strong>of</strong><br />
15-months and 12-years, measuring early vocabulary and<br />
communication patterns<br />
(MacArthur-Communicative-Development-Inventory/MacArt<br />
hur-Toddler-Communication-Questionnaire), intelligibility<br />
(ALSPAC measure), social behaviour and behavioural<br />
difficulties<br />
(Emotionality-Activity-Sociability-Temperament-Survey;<br />
Revised-Rutter-Parent-Scale for Preschool Children;<br />
Standard-Assessment-Tests <strong>of</strong> social skills;<br />
Strengths-and-Difficulties-Questionnaire, Cambridge<br />
Hormones-and-Moods-Project-Friendship-Questionnaire;<br />
Special-<strong>Education</strong>al Needs assessment), social communication<br />
(Social-and-Communications-Disorders-Checklist;<br />
Children’s-Communication-Checklist), verbal intelligence,real<br />
world pragmatics and working memory<br />
(Wechsler-Intelligence-Scale-for-Children-III). To overcome<br />
the non-independent nature <strong>of</strong> our data and to account for<br />
multiple testing and missing genotypes, we adopted a<br />
permutation approach. Our study finds empirical evidence for<br />
a joint association effect between ASD-related phenotypes and<br />
rs4307059 (pEmp = 0.0015; SE = 0.0004), which is further<br />
strengthened when the direction <strong>of</strong> each single effect is taken<br />
into account (pEmp = 0.0004; SE = 0.0002). Our results show<br />
that the observed pr<strong>of</strong>ile <strong>of</strong> associations is unlikely to be the<br />
result <strong>of</strong> chance suggesting that common variation in<br />
rs4307059 is also associated with a broader ASD-phenotype.
33 SOCIAL RESPONSIVENESS: A QUANTITATIVE<br />
INTERMEDIATE PHENOTYPE IN PARENTS OF<br />
CHILDREN WITH AUTISM SPECTRUM DISORDERS.<br />
W. De la Marche* (1)<br />
1. Child and Adolescent Psychiatry Dep., UPC-K.U.Leuven,<br />
Belgium<br />
* wouter.delamarche@uz.kuleuven.be<br />
Background: Although heritability <strong>of</strong> Autism Spectrum<br />
Disorders (ASD) is up to 90%, finding specific genetic origins<br />
has proven to be very difficult. A combination <strong>of</strong> several<br />
genetic variants (Copy Number Variants, Single Nucleotide<br />
Polymorphisms) with each a small effect on the ASD<br />
susceptibility, inherited from both parents, might be the cause<br />
<strong>of</strong> most <strong>of</strong> the ASD cases (Steyaert & De la Marche, 2008).<br />
As a consequence, most parents <strong>of</strong> a child with ASD should be<br />
carriers <strong>of</strong> some <strong>of</strong> those risk factors without having ASD<br />
themselves. Carrying such a risk factor might result in<br />
subclinical autistic traits. The Social Responsiveness Scale<br />
(Constantino et al., 2003) has proven to reliably measure<br />
autistic traits in a quantitative way in the general as well as in<br />
the clinical population. Objectives: To assess if parents <strong>of</strong> a<br />
child with ASD show autistic traits, intermediate between<br />
control adults and adults with ASD. Methods: We asked<br />
control adults, parents <strong>of</strong> children with ASD and adults with<br />
ASD to fillout the Dutch self-report version <strong>of</strong> the Social<br />
Responsiveness Scale and we asked their partners or parents to<br />
fill out the other-report form. (Preliminary) Results: Total SRS<br />
scores differ significantly between the three groups, both in<br />
males and females (except for other-report in females,<br />
possibly due to smaller sample), with parents <strong>of</strong> children with<br />
ASD showing intermediate quantitative autistic traits.<br />
Conclusions: These results support the hypothesis <strong>of</strong> multiple<br />
genetic variants with a small effect each (additive polygenic<br />
effect) inherited by the parents as a cause <strong>of</strong> ASD.<br />
34 HLA AND AUTISM: CASE REPORT<br />
M. Cojocaru* (1), C. Albu (1), D. Albu (1), E. Severin (1)<br />
1. "Carol Davila" Univ Med Pharm<br />
* genetics.dentistry@gmail.com<br />
Background: Certain HLA alleles are known to be associated<br />
with disease susceptibility. Few previous studies have shown<br />
the association and linkage <strong>of</strong> HLA-A2 class 1 allele with<br />
autism and other studies suggested that DR4 and DR13 alleles<br />
are linked to autism spectrum disorder. Objective: our aim was<br />
to evaluate HLA haplotype in a Caucasian family with a twin<br />
pair discordant for autism. Subjects and Methods: A pair <strong>of</strong><br />
4-year-old twin male was evaluated and diagnosed by a<br />
multidisciplinary team. Diagnostic criteria for autism were as<br />
follows: impairment in social interaction, impairments in<br />
communication and restricted repetitive and stereotyped<br />
patterns <strong>of</strong> behavior, interests, and activities. The twin<br />
zygosity was determined according to blood test: ABO blood<br />
type system, Rh blood group system and HLA haplotype. The<br />
parents had been typed for HLA haplotypes too. Results:<br />
There was no family history <strong>of</strong> autism or autoimmune<br />
disorders. The diagnosis <strong>of</strong> autism was early made because <strong>of</strong><br />
the language delay was present. Both twins showed language<br />
impairment. One twin met criteria for autism and his co-twin<br />
did not. Both twins had HLA A2 B18 DR13. The haplotype<br />
was inherited from their mother. Conclusions: our results<br />
suggest the role <strong>of</strong> HLA A2 and DR13 alleles as a genetic<br />
susceptibility factor <strong>of</strong> autism.
35 THE OXYTOCIN RECEPTOR GENE (OXTR) IS<br />
ASSOCIATED WITH AUTISM IN JAPANESE<br />
POPULATION<br />
X. Liu* (1), Y. Kawamura (2), T. Shimada (2), T. Otowa (2),<br />
S. Koishi (2), Y. Kano (3), N. Kato (4), K. Tokunaga (5), T.<br />
Sasaki (6)<br />
1. Department <strong>of</strong> Human Genetics, Graduate School <strong>of</strong><br />
Medicine, University <strong>of</strong> Tokyo 2. Department <strong>of</strong><br />
Neuropsychiatry, Graduate School <strong>of</strong> Medicine, University <strong>of</strong><br />
Tokyo 3. Department <strong>of</strong> Child Psychiatry, The University <strong>of</strong><br />
Tokyo Hospital 4. Department <strong>of</strong> Psychiatry, School <strong>of</strong><br />
Medicine, Showa University 5. Department <strong>of</strong> Human<br />
Genetics, Graduate School <strong>of</strong> Medicine, University <strong>of</strong> Tokyo<br />
6. Health Service Center, University <strong>of</strong> Tokyo<br />
* liuxiaoxi@m.u-tokyo.ac.jp<br />
Purpose: Autism spectrum disorder (ASD) (OMIM: 209850)<br />
is a neurodevelopment disorder characterized by impairment<br />
in social interaction and communication as well as restricted<br />
and stereotyped behaviors and interests. Previous research has<br />
suggested the involvement <strong>of</strong> OXTR in the susceptibility to<br />
ASD, and positive associations between OXTR and ASD were<br />
observed in 4 independent studies from different ethnics<br />
groups, In addition genome-wide linkage studies also have<br />
indentified the chromosomal region Chr3 p25.3 as a candidate<br />
region which harbors the OXTR gene, Despite these emerging<br />
evidence, partial inconsistency <strong>of</strong> the previous findings<br />
together with statistical issue regarding sample size and<br />
statistical method still deserve further study In this study,we<br />
attempted to replicate these recently published findings.<br />
Method: we conducted 1) family based association test and 2)<br />
population-based case-control test by using a total <strong>of</strong> 1210<br />
Japanese samples, and 14 SNPs <strong>of</strong> OXTR gene were<br />
genotyped. Result: Significant associations with ASD for both<br />
single SNPs and haplotypes were observed in the present<br />
study. We confirmed the previous associations <strong>of</strong> 1)<br />
rs2254298 and rs53576 observed in Chinese population and <strong>of</strong><br />
the 2) 5’-flanking region <strong>of</strong> the exon 4 and a 3.5 kb region<br />
within the third intron which were found in Caucasian<br />
population. Conclusion: Our study demonstrates that SNPs<br />
and haplotypes in the OXTR gene confer risk for ASD.<br />
36 THE AUTISM GENOME PROJECT:<br />
GENOME-WIDE ASSOCIATION STUDIES IN AUTISM<br />
R. Anney* (1), o. the Autism Genome Project<br />
1. Trinity College Dublin<br />
* anneyr@tcd.ie<br />
Autism spectrum disorders (ASD) are early onset<br />
neurodevelopmental disorders affecting approximately 1/150<br />
individuals and characterized by deficits in reciprocal social<br />
interaction, communication and restricted and repetitive<br />
patterns <strong>of</strong> behaviours and interests. Evidence to date supports<br />
high heritability and a complex genetic aetiology. The Autism<br />
Genome Project (AGP) is a large international collaboration<br />
facilitating gene identification through access to a large<br />
phenotypic and genetic dataset. We will present results from<br />
genome-wide association (GWA) analyses from<br />
approximately 3000 families genotyped using the Illumina 1M<br />
BeadChip. To date results are available from over 1500 ASD<br />
families. This resource is sufficiently large to implement<br />
multiple analytical strategies for localizing CNVs and SNP<br />
loci affecting risk for ASD. We are presenting data from<br />
association analysis from the additive model across ancestral<br />
groups (all, European) and partitions <strong>of</strong> the data split along<br />
two diagnostic groups; any ASD (spectrum) and a narrow<br />
diagnostic group (autism).Results to date implicate one gene<br />
from the main analyses, namely MACROD2. While<br />
significant for a single GWA, the p-value falls just below the<br />
standard for GWA <strong>of</strong> approximately p=7.2x10-8. Other genes<br />
previously described as associated to autism have also been<br />
implicated by these analyses. The AGP is currently expanding<br />
the dataset to complete a replication analysis. The analyses we<br />
present will highlight both new loci and loci that continue to<br />
show compelling evidence for association.
37 AUTISM SPECTRUM DISORDER AND PARENTAL<br />
AGE IN JAPAN<br />
T. Shimada* (1), Y. Kawamura (1), X. Liu (2), T. Otowa (1),<br />
C. Kakiuchi (1), T. Umekage (3), H. Nishida (4), T. Sugiyama<br />
(5), Y. Kano (6), K. Kasai (1), T. Sasaki (7)<br />
1. Department <strong>of</strong> Neuropsychiatry, Graduate School <strong>of</strong><br />
Medicine, University <strong>of</strong> Tokyo 2. Department <strong>of</strong> Human<br />
Genetics, Graduate School <strong>of</strong> Medicine, University <strong>of</strong> Tokyo<br />
3. Division for Environment, Health and Safety, University <strong>of</strong><br />
Tokyo 4. Asunaro Hospital for Child and Adolescent<br />
Psychiatry 5. Aichi Children’s Health and <strong>Medical</strong> Center 6.<br />
Department <strong>of</strong> Child Psychiatry, University <strong>of</strong> Tokyo 7.<br />
Office for Mental Health Support, University <strong>of</strong> Tokyo<br />
* shimada-t@umin.net<br />
Background: Genetic factor are strongly associated with<br />
autism spectrum disorder (ASD), but other factors may also<br />
play a significant role. Recent studies suggest that increased<br />
maternal age and paternal age at birth are both associated with<br />
an elevated risk <strong>of</strong> ASD. The biological mechanisms<br />
underlying these relationships are not known. The association<br />
maternal age with ASD may be because <strong>of</strong> the increased risk<br />
<strong>of</strong> chromosomal abnormalities in ova <strong>of</strong> increased age or as a<br />
result <strong>of</strong> unstable trinucleotide repeats. Paternal age may be<br />
associated with ASD due to de novo spontaneous mutations<br />
that accumulate with advancing age in spermatagonia, the<br />
association may be confounded by sociocultural<br />
environmental factors. We investigated parental age at birth <strong>of</strong><br />
children with ASD participating genetic study. Methods:<br />
Maternal and paternal age at birth <strong>of</strong> 96 ASD children born in<br />
1965-2002 were compared with those <strong>of</strong> children in the<br />
Japanese general population using national statistics. Results:<br />
The mean maternal age and paternal age at birth <strong>of</strong> ASD<br />
children were 31.3 year and 34.4 year, respectively, which<br />
were significantly higher than the expected parental age (29.0<br />
year and 31.5 year, respectively) according to the national<br />
statistics. Conclusions: Advanced parental age at birth might<br />
be associated with the risk <strong>of</strong> ASD in the Japanese population.
EARLY CAREER INVESTIGATOR TRACK:<br />
CANDIDATE GENES<br />
ECI 7 USING DIMENSIONAL MODELS OF NICOTINE<br />
DEPENDENCE TO AID IN GENE IDENTIFICATION ---<br />
AN EXAMINATION OF THE NICOTINIC RECEPTOR<br />
GENES<br />
L. Chen* (1), R. Grucza (1), E. Johnson (2), N. Breslau (3),<br />
D. Hatsukami (4), N. Saccone (5), T. Baker (6), S. Smith (6),<br />
A. Goate (1), J. Rice (1), L. Bierut (1)<br />
1. Department <strong>of</strong> Psychiatry, Washington University School <strong>of</strong><br />
Medicine, St. Louis, MO, USA 2. Research Triangle Institute<br />
International3, Research Triangle Park, North Carolina 3.<br />
Department <strong>of</strong> Epidemiology, Michigan State University, East<br />
Lansing, Michigan 4. Department <strong>of</strong> Psychiatry, University <strong>of</strong><br />
Minnesota, Minneapolis, Minnesota, USA 5. Department <strong>of</strong><br />
Genetics, Washington University School <strong>of</strong> Medicine, St.<br />
Louis, MO, USA 6. Department <strong>of</strong> Medicine, Center for<br />
Tobacco Research and Intervention, University <strong>of</strong> Wisconsin<br />
School <strong>of</strong> Medicine. Madison, WI<br />
* chenli@psychiatry.wustl.edu<br />
Introduction: Existing evidence suggests that nicotine<br />
dependence is associated with genetic variants in nicotinic<br />
receptor genes with phenotypic measures that strongly reflect<br />
smoking heaviness such as cigarettes per day and FTND.<br />
Nicotine dependence is multifactorial and it is unknown how<br />
the nicotinic receptor genes relate to the range <strong>of</strong> dependence<br />
factors. Methods: A community sample <strong>of</strong> 2073 European<br />
American subjects participated in the COGEND study.<br />
Phenotypic definitions including FTND, DSM, NDSS,<br />
WISDM scores and subphenotypes including PDM, SDM,<br />
daily cigarette use, and urgency to smoke in the morning were<br />
assessed. Two hundred and twenty four SNPs in the α5-α3-β4<br />
nicotinic receptor genes were analyzed. Results: The<br />
multifactorial WISDM, and NDSS dependence measures<br />
shared numerous significant associations with genetic variants,<br />
while the DSM4 diagnostic phenotype shared few relations.<br />
We found cigarette per day, NDSS drive subscale, WISDM<br />
PDM subscales were highly associated with SNP rs16969968<br />
and WISDM PDM subscale was highly associated with SNP<br />
rs578776. We found the subphenotype craving showing the<br />
strongest associations with both rs16969968 (involved in<br />
amino acid changes in nicotinic receptor) and rs588765<br />
(involved in mRNA expression in nicotinic receptor). We<br />
demonstrated the differential associations between other<br />
nicotinic receptors genes and dimensional phenotypes.<br />
Conclusion: The phenotypic associations with rs16969968 are<br />
strongest with a heavy smoking phenotype. Both SNPs<br />
involved in biological mechanisms <strong>of</strong> nicotinic receptor<br />
expression is validated by their convergent phenotypic<br />
presentation in the craving subphenotype <strong>of</strong> WISDM. These<br />
dimensional phenotypes and subphenotypes can be helpful in<br />
refining the phenotypic characteristics associated with specific<br />
gene clusters.<br />
ECI 8 FUNCTIONAL POLYMORPHISMS IN THE<br />
INTERLEUKIN 6 AND TUMOR NECROSIS FACTOR<br />
GENES IN OBSESSIVE-COMPULSIVE DISORDER<br />
C. Cappi (1), R. Muniz (1), A. Sampaio (1), S. Palácios (1), Q.<br />
Cordeiro* (1), H. Brentani (1), A. Marques (2), H. Vallada<br />
(1), E. Miguel (1), L. Guilherme (1), A. Hounie (1)<br />
1. Sao Paulo University 2. National Institute <strong>of</strong> Health<br />
* qcordeiro@yahoo.com<br />
Obsessive-compulsive disorder (OCD) is characterized by<br />
recurrent unwanted thoughts (obsessions), usually<br />
accompanied by repetitive behaviors (compulsions) intended<br />
to alleviate anxiety caused by obsessions. The role <strong>of</strong> the<br />
immune system in central nervous system processes has long<br />
been under investigation in the pathogenesis <strong>of</strong> a variety <strong>of</strong><br />
neuropsychiatric disorders. In this study, we investigated<br />
polymorphisms <strong>of</strong> the genes that codify the cytokines TNF<br />
and IL6 using a trio analysis approach, which minimizes<br />
population stratification bias. Blood samples were obtained<br />
from 71 OCD patients recruited at the University <strong>of</strong> São Paulo<br />
Clinical Hospital and their 166 biological first-degree<br />
relatives. All participants gave written informed consent. All<br />
patients who had DSM-IV criteria for OCD and one or more<br />
first-degree biological relatives (142 parents and 36 siblings)<br />
willing to participate in the study were included. The analyses<br />
were completed with PLINK s<strong>of</strong>tware. The transmission<br />
disequilibrium test was performed to measures the<br />
over-transmission <strong>of</strong> an allele from heterozygous parents to<br />
affected <strong>of</strong>fspring. We found a significant association between<br />
TNF rs1800795 polymorphism and OCD. The TNF rs1800629<br />
was significantly associated only on the parental discordance<br />
test. We haven’t found a significant association between IL6<br />
rs13447446 polymorphism and OCD. This finding supports a<br />
role for TNF in OCD. Plasma cytokine evaluation in OCD<br />
patients as well as their polymorphisms may contribute to the<br />
understanding <strong>of</strong> the role <strong>of</strong> immune factors in OCD etiology.
ECI 9 DRD1 PROMOTER REGION POLYMORPHISM<br />
(RS4532) IS RECESSIVELY ASSOCIATED WITH<br />
SCHIZOPHRENIA MARKED BY MILD SYMPTOMS<br />
AND SPARED WORKING MEMORY<br />
P. DeRosse* (1), T. Lencz (2), K. Burdick (2), A. Malhotra<br />
(1)<br />
1. Division <strong>of</strong> Psychiatry Research, The Zucker Hillside<br />
Hospital 2. Center for Translational Psychiatry, The Feinstein<br />
Institute for <strong>Medical</strong> Research<br />
* pderosse@lij.edu<br />
Background: A recent meta-analysis (Allen et al., Nat Gen, 40,<br />
827-834) indicated that a promoter region variant (rs4532,<br />
-48A/G) in the DRD1gene was one <strong>of</strong> only four SNPs with<br />
strong evidence for association to schizophrenia (SZ). Even<br />
so, the effect size was modest (allelic OR=1.18,<br />
95%CI=1.01-1.38), with relatively modest sample size (725<br />
cases). Additionally, mode <strong>of</strong> transmission was not clarified,<br />
and effects on clinical phenotypes such as symptom scores and<br />
cognitive performance has not been reported. Methods:<br />
Caucasian SZ cases (n=280) and controls (n=250) were<br />
genotyped using the Affymetrix 500K array, and rs4532<br />
genotype was imputed with high confidence (>0.87) using<br />
HapMap/Mach. Symptom scores were assessed using the<br />
SCID-IV, based on lifetime presence indicated by self-report,<br />
and, in most cases, verified by informant report and/or<br />
extensive chart records. A brief neurocognitive battery was<br />
administered containing 6 primary measures. It was<br />
hypothesized that digit span performance would be<br />
specifically affected by DRD1 genetic variation based on<br />
long-standing evidence <strong>of</strong> a relationship between prefrontal<br />
D1 receptor function and working memory performance.<br />
Results: Patients with schizophrenia were significantly<br />
(p=0.005; OR=1.44; 95%CI=1.11-1.86) more likely to carry<br />
the minor (G) allele, strengthening the prior meta-analytic<br />
results and increasing the patient sample by nearly 40%.<br />
Additionally, results were most consistent with a recessive<br />
model <strong>of</strong> transmission (OR=2.2; 95%CI=1.25-3.90). While<br />
GG homozygotes were thus more than twice as likely to be<br />
classified as cases, these patients were marked by reduced<br />
severity across multiple symptom domains (auditory<br />
hallucinations, alogia, and disorganized behavior). Moreover,<br />
patients carrying the GG genotype demonstrated relatively<br />
spared working memory (approximately 1 point difference on<br />
digits backward, p=.003). Conclusions: A SNP in the<br />
promoter region <strong>of</strong> DRD1 is reliably associated with<br />
schizophrenia, possibly in a recessive mode <strong>of</strong> transmission.<br />
Interestingly, this SNP appears to be associated with a<br />
relatively mild clinical and cognitive presentation.<br />
ECI 10 CHILDHOOD MALTREATMENT AND MAOA<br />
GENOTYPE: AN INVESTIGATION OF MAIN AND<br />
INTERACTIVE EFFECTS ON DIVERSE CLINICAL<br />
EXTERNALIZING OUTCOMES<br />
J. Derringer* (1), R. Krueger (1), D. Irons (2), W. Iacono (2)<br />
1. Department <strong>of</strong> Psychology, Washington University in St.<br />
Louis 2. Department <strong>of</strong> Psychology, University <strong>of</strong> Minnesota<br />
* derringer@wustl.edu<br />
We studied the impact <strong>of</strong> MAOA genotype and retrospectively<br />
reported childhood maltreatment (physical and/or sexual) on<br />
young adult lifetime clinical externalizing symptoms<br />
(substance problems, adult antisocial behavior, and conduct<br />
disorder). Participants were 841 individual twins from the<br />
community-based Minnesota Twin Family Study assessed<br />
through age 25. Childhood maltreatment was associated with<br />
increasing symptoms for substance problems, antisocial<br />
behavior, and conduct disorder. No significant main effects <strong>of</strong><br />
MAOA were observed on any phenotype, nor were there<br />
significant GxE interactions between MAOA and harsh<br />
discipline on any phenotype or a significant interaction<br />
between MAOA and childhood sexual assault on substance<br />
problems. We did, however, find evidence that childhood<br />
sexual assault interacted with MAOA genotype to predict<br />
antisocial behavior (p=0.014, R2=0.4%) and conduct disorder<br />
symptoms (p=0.007, R2=0.7%). Individuals with the low<br />
MAOA activity genotype who reported childhood sexual<br />
assault had more symptoms than individuals with either the<br />
high MAOA activity genotype and/or no history <strong>of</strong> childhood<br />
sexual assault. These findings suggest that the previously<br />
reported interaction between MAOA and childhood<br />
maltreatment is specific to the aggressive subset <strong>of</strong><br />
externalizing disorders.
ECI 11 ASSOCIATION BETWEEN SIGMA1<br />
RECEPTOR GENE A61C (GLN2PRO) AND<br />
SEROTONIN RECEPTOR 1A PROMOTER -1019C>G<br />
POLYMORPHISM AND PANIC DISORDER IN<br />
JAPANESE POPULATION.<br />
Y. Konishi* (1), H. Tanii (1), T. Otowa (2), T. Sasaki (3), H.<br />
Kaiya (4), Y. Okazaki (5)<br />
1. Department <strong>of</strong> Psychiatry, Mie University 2. Department <strong>of</strong><br />
Psychiatry, University <strong>of</strong> Tokyo 3. Health Service Center,<br />
University <strong>of</strong> Tokyo 4. Warakukai Panic Disorder Clinical<br />
Research Center 5. Metropolitan Matsuzawa Hospital<br />
* konikonikoni1029@hotmail.co.jp<br />
Panic disorder (PD) is a disease characterized by an uneasy<br />
feeling accompanied by two or more physical symptoms<br />
caused by abnormality <strong>of</strong> the autonomic nerve system, such as<br />
palpitation, perspiration, chest unpleasantness, a feeling <strong>of</strong><br />
dizziness, and the like. These symptoms are not necessarily<br />
repeated with each attack <strong>of</strong> PD. PD is considered to have<br />
significant genetic factors in the etiology. Sigma1 receptor<br />
(Sig-1R) is considered to modulate the function<br />
N-methyl-D-aspartate (NMDA) receptors and have strong<br />
affinity with fluvoxamine, a typical therapeutic drungs <strong>of</strong> PD.<br />
Serotonin receptor 1A (5-HT1A) gene is proposed to be one <strong>of</strong><br />
pathogenic factors for panic disorder related with serotonin<br />
system. Regarding 5-HT1A receptor promoter -1019C>G<br />
polymorphism, it was shown that the G allele significantly<br />
correlated with panic disorder with agoraphobia. A study <strong>of</strong><br />
PD patients using fMRI showed that for patients homozygous<br />
for G allele, fearful stimuli were associated with a decreased<br />
activation <strong>of</strong> the right prefrontal cortex. In these context, we<br />
studied in this study single-nucleotide polymorphisms (SNPs)<br />
<strong>of</strong> Sig-1R A61C (Gln2Pro) and 5-HT1A receptor promoter<br />
-1019C>G polymorphism in Japanese patients with PD and<br />
controls. No significant association was observed between the<br />
two SNPs and PD. We therefore conclude that the Sig-1R<br />
A61C (2Gln2Pro) and 5-HT1A receptor -1019C>G<br />
polymorphism may not play a major role in PD in Japanese<br />
populations.<br />
ECI 12 AMYLOID PRECURSOR PROTEIN-BINDING<br />
PROTEIN A2 (APBA2) IS AN AUTISM CANDIDATE<br />
GENE<br />
T. Babatz (1), R. Kumar* (1), J. Sudi (1), W. Dobyns (1), S.<br />
Christian (1)<br />
1. The University <strong>of</strong> Chicago<br />
* rkumar1@bsd.uchicago.edu<br />
Background: We have previously reported an autistic proband<br />
and affected brother harboring a maternally inherited 289 kb<br />
microduplication <strong>of</strong> 15q13.1, a region previously associated<br />
with autism, schizophrenia and mental retardation. APBA2 is<br />
located within 15q13.1 and encodes a synaptic protein that<br />
interacts directly with the autism-associated protein NRXN1.<br />
Mice deleted for APBA2 show abnormal social behaviors. We<br />
hypothesize that rare genetic variation <strong>of</strong> APBA2 underlies<br />
risk for autism. Objectives: To screen APBA2 for rare<br />
nucleotide variation in autistic individuals and controls.<br />
Methods: Sanger sequencing was used to screen the coding<br />
regions <strong>of</strong> APBA2 in 512 autism samples and 463 control<br />
individuals. Bioinformatics approaches were used to evaluate<br />
the functional effects <strong>of</strong> APBA2 variants. Results: We<br />
identified seven novel autism-specific non-synonymous<br />
coding variants, all <strong>of</strong> which are predicted to affect protein<br />
function and/or alter residues that are conserved across all 28<br />
species examined. We identified four non-synonymous<br />
variants specific to controls, indicating no significant<br />
difference in mutation burden between cases and controls. Of<br />
particular interest were two non-synonymous coding variants<br />
that were identified in two sibs with autism: (1) a<br />
paternally-inherited heterozygous 6-bp deletion and (2) a<br />
maternally-inherited heterozygous missense mutation. These<br />
results suggest compound heterozygous mutations <strong>of</strong> APBA2<br />
in this autism sibship. Conclusions: This work represents the<br />
first sequence-level evaluation <strong>of</strong> APBA2 as an autism<br />
candidate. The co-occurrence <strong>of</strong> two non-synonymous<br />
mutations in both affected siblings in a single family, each<br />
transmitted from a different unaffected parent, may indicate a<br />
causative role for APBA2 mutations in this isolated case.
CANDIDATE GENES<br />
38 GWAS PROGRAM OF CHINA AND ITS<br />
APPLICATION IN THE STUDY OF PSYCHIATRIC<br />
DISEASES<br />
L. He* (1), Y. Shi (1), G. He (1), G. Feng (1)<br />
1. Bio-X Center, Shanghai Jiao Tong University<br />
* helinhelin@gmail.com<br />
GWAS, a powerful measure although it can be not perfect<br />
from some recent overviews, has geared up association studies<br />
<strong>of</strong> causative genes to common complex diseases, including<br />
psychiatric diseases that have caused severe problems for<br />
societies, in the West particularly. As a slow coach, however,<br />
China finally decided to initiate its own nationwide GWAS<br />
program. It can be pretty late but fortunately as the etiologies<br />
<strong>of</strong> those diseases are versatile and the genetic backgrounds<br />
vary in different populations, it is very necessary to study the<br />
genetic factors in each population individually. In recent<br />
years, Chinese researchers have started to generate some data<br />
based on GWAS including genome-wide association, cnv,<br />
epigenomics, and microRNA-based work to dig out genetic<br />
etiology <strong>of</strong> some psychiatric diseases with the Chinese<br />
samples. In my presentation, I will show recent advances with<br />
several GWAS-based studies <strong>of</strong> psychiatric diseases.<br />
39 MAJOR DEPRESSION, ANXIETY AND THE<br />
NOREPINEPHRINE TRANSPORTER<br />
H. Buttenschøn* (1), H. Buch (1), A. Kristensen (1), J.<br />
Thomsen (2), S. Mikkelsen (2), J. Bonde (3), H. Kolstad (4),<br />
L. Kærlev (4), A. Kærgaard (4), J. Andersen (4), A. Hansen<br />
(5), R. Rugulies (5), A. Børglum (6), O. Mors (1)<br />
1. Centre for Psychiatric Research, Aarhus niversitetshospital,<br />
Risskov, Denmark 2. Department <strong>of</strong> Occupational Medicine,<br />
Glostrup University Hospital, Denmark 3. Bispebjerg<br />
University Hospital, Denmark 4. Danish Ramazzini Centre,<br />
Department <strong>of</strong> Occupational Medicine, Aarhus University<br />
Hospital, Denmark 5. National Research Centre for the Work<br />
Environment, Copenhagen, Denmark 6. Inst. <strong>of</strong> Human<br />
Genetics, Aarhus University, Denmark<br />
* henrbutt@rm.dk<br />
Background: Genetic factors play important roles in the<br />
etiology <strong>of</strong> anxiety and depressive disorders. Symptoms <strong>of</strong><br />
anxiety and depression commonly co-occur, and high rates <strong>of</strong><br />
comorbidity among anxiety and depressive disorders are<br />
well-established. The aim <strong>of</strong> the present study was to explore<br />
321 tagSNPs in 20 candidate genes for association with<br />
anxiety and/or depression, respectively. The genes were<br />
selected based on their function in norepinephrine signalling,<br />
serotonin signalling, the hypothalamic-pituitary-adrenal<br />
(HPA) axis or their involvement in neuroplasticity. Method:<br />
The case-control sample consisted <strong>of</strong> 331 patients with major<br />
depression, 219 patients with anxiety disorders and 297<br />
ethnically matched controls. Cases and controls were<br />
interviewed with the semi-structured diagnostic interview<br />
Schedules for Clinical Assessment in Neuropsychiatry<br />
(version 2.1). The genotyping were performed using the<br />
Sequenom platform (Sequenom, Inc, San Diego, USA). To<br />
test for allelic, genotypic, and haplotypic association the<br />
PLINK s<strong>of</strong>tware was used<br />
(http://pngu.mgh.harvard.edu/purcell/plink/). Results: A<br />
number <strong>of</strong> genes showed significant association with<br />
depression and anxiety. However, the norepinephrine<br />
transporter (NET) appeared to be the most significantly<br />
associated gene in the anxiety sample. Five SNPs within the<br />
gene appeared to be allelic, genotypic and haplotypic<br />
associated with anxiety. The NET gene also appeared to be<br />
significantly associated with depression. In total six SNPs,<br />
five <strong>of</strong> which also were associated with anxiety, were allelic,<br />
genotypic and haplotypic associated with depression.<br />
Discussion: The present study suggested the NET gene as a<br />
common susceptibility gene for depression and anxiety.
40 CNV OVERLAPPING GSK3beta (GLYCOGEN<br />
SYNTHASE KINASE-3beta) GENE AND ITS<br />
ASSOCIATION WITH MOOD DISORDERS<br />
PHENTOYPES IN SPANISH POPULATION<br />
E. Saus* (1), V. Soria (2), G. Escaramís (3, 5), J. Crespo (2,<br />
5), J. Valero (6), A. Guitiérrez-Zotes (6), L. Martorell (6), E.<br />
Vilella (6), J. Menchón (2, 5), X. Estivill (1, 3), M.<br />
Urretavizcaya (2, 5), M. Gratacòs (1, 3)<br />
1. Genetic Causes <strong>of</strong> Disease Group, Genes and Disease<br />
Program, Center for Genomic Regulation (CRG-UPF),<br />
Barcelona, Catalonia, Spain. 2. CIBERSAM (CIBER en Salud<br />
Mental), Mood Disorders Clinical and Research Unit,<br />
Psychiatry Department, Bellvitge University Hospital,<br />
Barcelona, Spain. 3. CIBER en Epidemiología y Salud Pública<br />
(CIBERESP), Instituto de Salud Carlos III, Madrid, Spain 4.<br />
Genetic Causes <strong>of</strong> Disease Group, Genes and Disease<br />
Program, Center for Genomic Regulation (CRG-UPF),<br />
Barcelona, Catalonia, Spain. 5. Department <strong>of</strong> Clinical<br />
Sciences, Bellvitge Campus, Barcelona University, Barcelona,<br />
Spain. 6. Grup d’Investigació en Psiquiatria. Hospital<br />
Universitari Institut Pere Mata, Rovira i Virgili University,<br />
Reus, Spain.<br />
* ester.saus@crg.es<br />
Glycogen synthase kinase-3β (GSK3β) is known to regulate<br />
critical cellular functions and recent findings support that may<br />
play a role in the pathophysiology and treatment <strong>of</strong> mood<br />
disorders (MD). Lachman et al. (2006) found an increased<br />
number <strong>of</strong> gains in a CNV (copy number variant) partially<br />
overlapping with GSK3β in bipolar patients compared with<br />
control individuals. Here, we replicated this experiment in a<br />
Spanish sample <strong>of</strong> MD under the hypothesis that this CNV<br />
could partially underlie the susceptibility to MD and also<br />
could be associated with specific clinical subphenotypes. The<br />
sample consisted <strong>of</strong> 444 MD patients (256 Unipolar<br />
Depressive Disorder, 188 Bipolar Disorder) and 428<br />
psychiatrically screened controls. All samples were genotyped<br />
in triplicate by qPCR. Triplicates undergone a quality control<br />
measure, and a linear mixed model was generated to<br />
normalize all the data allowing a posterior relative<br />
quantification <strong>of</strong> gains and losses. We found a total <strong>of</strong> 42<br />
samples with gains and 13 samples with losses (18 gains and 4<br />
losses in MD patients, and 24 gains and 9 losses in controls).<br />
An association study considering MD vs. controls adjusting by<br />
age and sex was performed, but no significant result was<br />
obtained. Then, we tested 5 clinical subphenotypes in MD:<br />
polarity, seasonality, chronotype, antidepressant treatment<br />
response and age at onset. Only seasonality scores were<br />
nominally associated. While we have not been able to confirm<br />
a direct involvement <strong>of</strong> GSK3β CNV in the susceptibility to<br />
MD, changes in copy number in GSK3β could partially<br />
contribute to seasonal pattern in MD.<br />
41 ASSOCIATION BETWEEN POLYMORPHISMS IN<br />
THE METALLOPHOSPHOESTERASE (MPPE1) GENE<br />
AND BIPOLAR DISORDER<br />
F. Loh<strong>of</strong>f* (1), T. Ferraro (1), E. Brodkin (1), A. Weller (1),<br />
P. Bloch (1)<br />
1. University <strong>of</strong> Pennsylvania<br />
* loh<strong>of</strong>f@mail.med.upenn.edu<br />
Genetic linkage studies in bipolar disorder (BPD) suggest that<br />
a susceptibility locus exists on chromosome 18p11. The<br />
metallophosphoesterase (MPPE1) gene maps to this region.<br />
Dysregulation <strong>of</strong> protein phosphorylation and subsequent<br />
abnormal cellular signaling has been postulated to be involved<br />
in neuropsychiatric disorders thus making MPPE1 a plausible<br />
biological candidate gene for BPD. In this study, we<br />
hypothesized that genetic variation in the MPPE1 gene<br />
contributes to BPD. We tested this hypothesis by genotyping 4<br />
SNPs (rs871044; rs3974590; rs593713; rs602201) in BPD<br />
patients (n=570) and healthy controls (n=725). Genotypes and<br />
allele frequencies were compared between groups using Chi<br />
square contingency analysis. Linkage disequilibrium (LD)<br />
between markers was calculated and estimated haplotype<br />
frequencies were compared between groups. Single marker<br />
analysis revealed an association <strong>of</strong> rs3974590 with BPD<br />
(p=0.009; permutation corrected p=0.046). Haplotype analysis<br />
did not show any significant association with disease after<br />
permutation correction. Our results provide evidence <strong>of</strong> an<br />
association between a polymorphism in the MPPE1 gene and<br />
BPD. Additional studies are necessary to confirm and<br />
elucidate the role <strong>of</strong> MPPE1 as a susceptibility gene for BPD<br />
on chromosome 18p.
42 A MULTI-DEMENSIONAL EVIDENCE-BASED<br />
CANDIDATE GENE PRIORITIZATION APPROACH<br />
FOR SCHIZOPHRENIA AND OTHER COMPLEX<br />
DISEASES<br />
J. Sun (1), P. Jia (1), A. Fanous (2), B. Webb (3), E. van den<br />
Oord (3), B. Riley (3), X. Chen (3), J. Bukszar (3), K. Kendler<br />
(3), Z. Zhao* (1)<br />
1. Vanderbilt University 2. Washington VA <strong>Medical</strong> Center 3.<br />
Virginia Commonwealth University<br />
* zhongming.zhao@vanderbilt.edu<br />
Introduction: During the past decade we have seen an<br />
exponential growth <strong>of</strong> vast amounts <strong>of</strong> genetic data generated<br />
for complex disease studies. Across a variety <strong>of</strong> complex<br />
biological problems currently, there is a strong trend towards<br />
the integration <strong>of</strong> data from multiple sources. So far, candidate<br />
gene prioritization approaches have been designed for specific<br />
purposes, by utilizing only some <strong>of</strong> the available sources <strong>of</strong><br />
genetic studies, or by using a simple weight scheme.<br />
Specifically to psychiatric disorders, there has been no<br />
prioritization approach that fully utilizes all major sources <strong>of</strong><br />
experimental data. Methods: Here we present a<br />
multi-dimensional evidence-based candidate gene<br />
prioritization approach for schizophrenia. In this approach, we<br />
first collect and curate genetic studies for schizophrenia from<br />
four major categories: association studies, linkage analyses,<br />
gene expression, and literature search. Genes in these data sets<br />
are initially scored by category-specific scoring methods.<br />
Then, an optimal weight matrix is searched by a two-step<br />
procedure (core genes and unbiased P values in independent<br />
genome-wide association studies). Finally, genes are<br />
prioritized by their combined scores using the optimal weight<br />
matrix. Results: The prioritized genes were evaluated by the<br />
enriched P values in two independent GWA studies and also<br />
by gene expression pattern in human tissues. The evaluation<br />
suggests this approach generates prioritized candidate genes<br />
that are promising for further analysis or replication. For<br />
example, our follow up gene network/pathway analysis using<br />
these prioritized candidate genes suggested a few novel<br />
candidate genes, one <strong>of</strong> which was successfully verified in our<br />
Irish Case-Control Study <strong>of</strong> Schizophrenia (ICCSS)<br />
sample. Conclusions: The approach can be applied to other<br />
complex diseases, especially other psychiatric disorders.<br />
43 MATERNAL MTHFR C677T GENOTYPE &<br />
DEPRESSED MOOD DURING PREGNANCY AFFECTS<br />
SLC6A4 METHYLATION IN INFANTS AT BIRTH<br />
R. Wade (1), T. Oberlander (1), U. Brain (1), J. Austin* (1),<br />
A. Devlin (1)<br />
1. UBC<br />
* jehannine.austin@ubc.ca<br />
In utero and early postnatal exposure to depressed maternal<br />
mood may program childhood behaviour via epigenetic<br />
processes. Methylenetetrahydr<strong>of</strong>olate reductase (MTHFR) is<br />
an enzyme important for methyl metabolism. A common<br />
variant in the MTHFR gene, C677T, is associated with<br />
depression. We investigated the effect <strong>of</strong> maternal MTHFR<br />
C677T genotype on maternal mood (Edinburgh Postnatal<br />
Depression Scale, EPDS), during pregnancy (n=82 women, all<br />
receiving folate supplements) and on promoter methylation <strong>of</strong><br />
two genes implicated in depression, brain derived<br />
neurotrophic factor, BDNF, and sodium-dependent serotonin<br />
transporter, SLC6A4, in the women and their infants at birth.<br />
Women with the MTHFR 677TT genotype had greater<br />
(P
44 HTR1B AS A RISK PROFILE MAKER IN<br />
PSYCHIATRIC DISORDERS: A REVIEW THROUGH<br />
MOTIVATION AND MEMORY<br />
A. Drago* (1), D. De Ronchi (1), A. Serretti (1)<br />
1. University <strong>of</strong> Bologna<br />
* antonio.drago@unibo.it<br />
HTR1B receptor is involved in the regulation <strong>of</strong> the serotonin<br />
system, playing different roles in specific areas <strong>of</strong> the brain.<br />
Consistently, HTR1B manipulation in animals results into<br />
altered behavior possibly related to psychiatric disorders. We<br />
here review HTR1B, its product and its functional role in the<br />
neuronal nets involved in motivation and memory. Then, we<br />
go the other way round and analyze how and how much<br />
HTR1B variations impact the psychiatric phenotypes mainly<br />
associated with these functions. The neuronal nets involved in<br />
motivational and mnemonic functions are described, and the<br />
role played by HTR1B in these systems is depicted: as a<br />
result, a picture <strong>of</strong> the relevance <strong>of</strong> HTR1B in the modulation<br />
<strong>of</strong> motivation and memory is attained. By contrast, the review<br />
<strong>of</strong> the genetic association studies resulted into partial evidence<br />
sustaining HTR1B relevance toward substance related and<br />
obsessive compulsive disorders and no solid evidence toward<br />
other psychiatric disorders.<br />
45 POLYMORPHIC VARIANTS AND DIFFERENTIAL<br />
EXPRESSION OF DPYSL2 IN SCHIZOPHRENIA<br />
C. Winchester* (1), M. Bailey (2), P. Johnson (2), L.<br />
O'Donovan (2), B. Morris (2), J. Pratt (1)<br />
1. University <strong>of</strong> Strathclyde 2. University <strong>of</strong> Glasgow<br />
* c.winchester@bio.gla.ac.uk<br />
We identified DPYSL2 as a candidate gene for schizophrenia<br />
from a microarray analysis <strong>of</strong> the prefrontal cortex <strong>of</strong> a rodent<br />
phencyclidine (PCP) model <strong>of</strong> schizophrenia, developed in our<br />
laboratory 1,2. This PCP model produces a pattern <strong>of</strong><br />
metabolic hyp<strong>of</strong>unction, neurochemical changes and<br />
behavioural deficits in the prefrontal cortex that closely mirror<br />
the cognitive deficits <strong>of</strong> schizophrenia 1,2. Location <strong>of</strong> the<br />
gene within a linkage and association peak in chr. 8p21, its<br />
function in neuronal development and its interactions with<br />
proteins otherwise implicated in the pathophysiology <strong>of</strong><br />
schizophrenia (e.g. SEMA3A, DISC1, GSK3, CTNNB1) also<br />
support DPYSL2 as a plausible candidate gene for<br />
schizophrenia. We performed a case-control association study<br />
<strong>of</strong> DPYSL2 in DNA samples from 500 UK patients with<br />
DSM-IV schizophrenia and 500 ethnically similar normal<br />
controls. ABI TaqMan assays were used to genotype 11 tag<br />
SNPs across several haplotype blocks. Association <strong>of</strong><br />
schizophrenia with individual SNPs was tested using a variety<br />
<strong>of</strong> Chi squared tests and the Armitage Trend test. Haplotypes<br />
have been predicted and analysis is underway. Five SNPs<br />
encompassing a region in the 3’ half <strong>of</strong> DPYSL2, previously<br />
implicated in schizophrenia, showed modest associations with<br />
schizophrenia in our sample (best P = 0.021 for rs13277175<br />
under a G allele-dominant model; O.R. = 1.35 [1.045-1.752,<br />
95% C.I.]). DPYSL2 transcripts have been analysed by<br />
quantitative RT-PCR in schizophrenia patient and control<br />
post-mortem dorsolateral prefrontal cortex and showed that<br />
transcript levels are associated with genotype at several <strong>of</strong> the<br />
associated SNPs. We present converging evidence for<br />
DPYSL2 as a risk factor for schizophrenia. 1. Cochran et<br />
al.2003. Neuropsychopharmacology. 28 (2):265-275 2. Pratt et<br />
al. 2008. British Journal <strong>of</strong> Pharmacology 153, S465-470 This<br />
work was funded by NHS Scotland R&D for Mental Health<br />
Research.
46 LACK OF SUPPORT FOR THE ASSOCIATION OF<br />
PER3, CSNK1E, AND CLOCK GENE WITH<br />
MORNINGNESS-EVENINGNESS IN YOUNG ADULT<br />
FEMALE<br />
E. Joo* (1), K. Lee (1), H. Kim (1), K. Choi (1)<br />
1. Eulji University<br />
* jej1303@gmail.com<br />
Circadian rhythm is known to be genetic. Multiple SNPs in<br />
clock genes have been searched for a possible association with<br />
circadian rhythm. The association was tested in normal<br />
population as well as psychiatric patients group such as<br />
bipolar disorder. Recent genetic studies reported that in<br />
unrelated bipolar patients some clock genes were associated<br />
with morningness-eveningness measurement scale. We<br />
explored possible association <strong>of</strong> several promising SNP<br />
showed positive association in previous studies with<br />
chronotype in a young adult female group. We collected<br />
phenotype data and blood from 804 young Korean adult<br />
females. Most <strong>of</strong> them were nurses working on shift schedule.<br />
Morningness-eveningness was measured with 13 items<br />
Composite Scale. DNA was extracted from the blood and<br />
genotyping was done in TaqMan assay method. We selected 4<br />
polymorphic sites from three different clock genes: 1 SNP and<br />
1 VNTR from PER3 gene, 1 SNP from CSNK1E gene, and 1<br />
SNP from CLOCK gene. Associations were analyzed based on<br />
individual and epistatic interaction <strong>of</strong> polymorphic sites. We<br />
could not find any association <strong>of</strong> PER3, CSNK1E, and<br />
CLOCK gene with Composite Scale scores in individual<br />
genotype as well as analysis for epistatic interaction between<br />
polymorphic sites. Morningness-eveningness seems complex<br />
as a trait. Clock genes could not support clock genes as a<br />
significant contributor for chronotypes, however the size <strong>of</strong><br />
SNPs to be tested were small in this study. More studies with<br />
bigger sample size including males would be required.<br />
47 ASSOCIATION STUDY OF CHRNA7 WITH<br />
SCHIZOPHRENIA AND BIPOLAR DISORDER IN<br />
KOREAN POPULATION<br />
E. Joo* (1), K. Lee (1), S. Kim (2), Y. Ahn (2), Y. Kim (2)<br />
1. Eulji University 2. Seoul University<br />
* jej1303@gmail.com<br />
CHRNA7 has been known a strong candidate gene for<br />
schizophrenia. It is located on chromosome 15q13-q14, one <strong>of</strong><br />
the replicated linkage spot <strong>of</strong> schizophrenia. We conducted an<br />
association study to replicate previous positive findings in<br />
Korean population. We included 254 patients with<br />
schizophrenia, 193 patients with bipolar disorder type I, 38<br />
patients with bipolar disorder type II, 64 schizoaffective<br />
disorder patients, and 349 controls. Total 898 subjects were<br />
included and genotyping were done for three SNPs <strong>of</strong><br />
CHRNA7. Those 3 SNPs are rs2337506 (A/G, intron),<br />
rs6494223 (C/T, intron), and rs12916879 (A/G, intron).We<br />
found a marginally significant association with rs12916879<br />
with bipolar disorder type I. Both allele and genotype-wise,<br />
we found a weak signal (chisquare=3.568, df=1, p=0.059 for<br />
allele, chisquare=7.504, df=2, p=0.023 for genotype). Sliding<br />
window haplotype analysis using UNPHASED could not find<br />
any significant association. Other polymorphism was not<br />
associated with schizophrenia or bipolar spectrum disorders in<br />
this population. Further analysis with more SNPs is required<br />
to reveal the role <strong>of</strong> CHRNA7 in schizophrenia and bipolar<br />
spectrum disorders.
48 ALLELIC EXPRESSION IMBALANCE ANALYSIS<br />
OF ANK3 AND CACNA1C PROVIDES STRONG<br />
EVIDENCE OF CIS-ACTING VARIATION<br />
AFFECTING EXPRESSION OF BOTH GENES.<br />
E. Quinn* (1), M. Hill (1), R. Anney (1), M. Gill (1), A.<br />
Corvin (1), D. Morris (1)<br />
1. Neuropsychiatric Genetics Research Group, Department <strong>of</strong><br />
Psychiatry and Institute <strong>of</strong> Molecular Medicine, Trinity<br />
College Dublin, Ireland.<br />
* quinne5@tcd.ie<br />
Genome-wide association studies (GWAS) have identified<br />
ANK3 and CACNA1C as susceptibility genes for bipolar<br />
disorder. Available biological information on these genes<br />
suggests a potential molecular mechanism involving ion<br />
channel dysfunction. The associated SNPs at ANK3<br />
(rs10994336) and CACNA1C (rs1006737) are both intronic<br />
with no obvious impact on gene function. Instead <strong>of</strong> affecting<br />
the protein function, these risk variants may impact on gene<br />
regulation affecting expression. Testing for allelic expression<br />
imbalance (AEI) is a method <strong>of</strong> identifying such cis-acting<br />
regulatory polymorphisms by using a coding DNA marker<br />
SNP to assay relative allelic abundance in cDNA compared to<br />
genomic DNA. The primary aim <strong>of</strong> this study was to examine<br />
ANK3 and CACNA1C for regulatory polymorphisms<br />
contributing to differential gene expression in HapMap CEU<br />
lymphoblastoid cell lines. If detected, the secondary aim was<br />
to determine if the strong GWAS signals reported for these<br />
genes could be attributed to these functional SNPs. AEI was<br />
successfully detected at ANK3 and CACNA1C using coding<br />
marker SNPs rs3750800 and rs1544514 respectively,<br />
indicating the presence <strong>of</strong> cis-acting variants at both loci.<br />
There was considerable evidence <strong>of</strong> AEI at ANK3 with more<br />
than half <strong>of</strong> all heterozygous samples (21 out <strong>of</strong> 34) showing<br />
AEI and a small number <strong>of</strong> samples showing near<br />
mono-allelic expression. However, the AEI at either gene<br />
could not be attributed to the GWAS-associated SNPs. These<br />
data indicate that there is genetic variation local to both genes<br />
that is affecting their expression, but this variation is not<br />
responsible for increasing risk <strong>of</strong> bipolar disorder.<br />
49 RELEVANT FINDINGS ON THE GENES OF<br />
SEROTONERGIC SYSTEM AND SUICIDE IN<br />
SLOVENIA<br />
A. Videtic* (1), T. Zupanc (2), J. Balazic (2), P. Pregelj (3),<br />
R. Komel (1)<br />
1. Institute <strong>of</strong> Biochemistry, Faculty <strong>of</strong> Medicine, University<br />
<strong>of</strong> Ljubljana, Vrazov trg 2, Ljubljana, SI-1000, Slovenia 2.<br />
Institute <strong>of</strong> Forensic Medicine, Faculty <strong>of</strong> Medicine,<br />
University <strong>of</strong> Ljubljana, Korytkova ulica 2, Ljubljana,<br />
SI-1000, Slovenia 3. University Psychiatric Clinic Ljubljana,<br />
Studenec 48, Ljubljana Polje, SI-1260, Slovenia<br />
* alja.videtic@mf.uni-lj.si<br />
In Europe, countries with the highest suicide rates form a<br />
so-called J-curve, which starts in Finland and extends south to<br />
Slovenia – a country with one <strong>of</strong> the world’s highest suicide<br />
rates. In 2006 there were 529 suicides, with the rate <strong>of</strong> 26.3<br />
suicide victims per 100.000 citizens, most <strong>of</strong> the victims being<br />
between 35 and 64 years years <strong>of</strong> age. Suicide is a complex<br />
phenomenon, influenced by environmental and genetic<br />
factors, where for the latter the most interesting results were<br />
obtained for serotonergic system. In our study we performed<br />
molecular-genetic analysis on polymorphisms 68G>C and<br />
-995G>A in serotonin 2C receptor gene, and -1019 C>G in<br />
serotonin 1A receptor gene, on 334 suicide victims and 312<br />
controls. For 62 suicide victims psychological autopsy was<br />
available. A significantly different distributions for<br />
polymorphism 68G>C were observed in two cases: between<br />
genotypes <strong>of</strong> female suicide victims and controls<br />
(P(FET)=0.008) and in alleles <strong>of</strong> female and male populations<br />
(P=0.005). An excess <strong>of</strong> GG genotype and allele G was<br />
observed. Haplotype analysis showed marginal association <strong>of</strong><br />
haplotype G-C (-995G, 68C) with suicide only in female<br />
population. For polymorphism -1019C>G data on stressful life<br />
events <strong>of</strong> suicide victims was available. More stressful life<br />
events in the month prior to the suicide were reported for the<br />
subgroup with CC genotype (mean number <strong>of</strong> events=2.53;<br />
SD=1.50) in comparison to subgroup with CG/GG genotypes<br />
(mean number <strong>of</strong> events=1.58; SD=1.32; P
50 ASSOCIATION OF THE GABRD GENE AND<br />
CHILDHOOD-ONSET MOOD DISORDERS<br />
Y. Feng* (1), K. Kapornai (2), E. Kiss (2), Z. Tamás (3), L.<br />
Mayer (2), I. Baji (3), G. Daróczi (2), I. Benák (2), V.<br />
Kothencné (2), E. Dombovári (2), E. Kaczvinszk (2), M.<br />
Besnyo (3), J. Gádoros (3), J. Székely (4), M. Kovacs (5), Á.<br />
Vetró (2), J. Kennedy (6), C. Barr (1, 7)<br />
1. Toronto Western Hospital 2. Szeged University 3.<br />
Vadaskert Hospital 4. Semmelweis University 5. University <strong>of</strong><br />
Pittsburgh School <strong>of</strong> Medicine 6. Centre for Addiction and<br />
Mental Health 7. The Hospital for Sick Children<br />
* yfeng@uhnres.utoronto.ca<br />
The chromosome 1p36 region was previous indicated as a<br />
locus for susceptibility to recurrent major depressive disorder<br />
based on a linkage study in a sample <strong>of</strong> 497 sib pairs. We<br />
investigated the GABAA d receptor subunit gene, GABRD, as<br />
a susceptibility gene to childhood-onset mood disorders<br />
(COMD) because <strong>of</strong> substantial evidence implicating<br />
GABAergic dysfunction in mood disorders and the position <strong>of</strong><br />
this gene in the 1p36 linkage region. Using a sample<br />
consisting <strong>of</strong> 603 Hungarian families with a child/adolescent<br />
proband diagnosed with a mood disorder with the onset <strong>of</strong> the<br />
first episode before age 15, we found evidence for association<br />
<strong>of</strong> two polymorphisms located within the gene, rs2376805 and<br />
rs2376803, as well as haplotypes <strong>of</strong> these two markers.<br />
Further, significant evidence <strong>of</strong> association was only observed<br />
in male subjects when the results were analyzed by sex. This<br />
was in contrast with the previous linkage findings, as LOD<br />
scores exceeding 3 were only in female-female pairs in that<br />
study. These findings point to the GABRD gene as a<br />
susceptibility gene for COMD, however, this gene may not<br />
explain the previous linkage finding.<br />
51 GPR50, A CANDIDATE FOR BIPOLAR DISORDER,<br />
AFFECTS NEURITE OUTGROWTH<br />
E. Gruenewald (1), H. Kinnell (2), D. Porteous (1), P.<br />
Thomson* (1)<br />
1. <strong>Medical</strong> Genetics Section, MMC. The University <strong>of</strong><br />
Edinburgh.UK 2. MRC Human Reproductive Science Unit,<br />
Edinburgh, UK<br />
* pippa.thomson@ed.ac.uk<br />
In the search for candidate genes for major mental disorders,<br />
X-linked orphan G protein-coupled receptor 50 (GPR50), also<br />
termed melatonin-related receptor, was identified as a risk<br />
gene for bipolar disorder. G protein-coupled receptors are<br />
important susceptibility candidates for disease as they are<br />
involved in molecular signaling pathways and are major<br />
targets <strong>of</strong> drug treatment. The function <strong>of</strong> GPR50 is unclear<br />
and no ligand has yet been identified. In order to understand<br />
its function, a yeast two-hybrid study was performed,<br />
identifying putative interactors with the C-terminal region <strong>of</strong><br />
GPR50. Key interactors are known to be involved in neuronal<br />
development and lipid metabolism. In this study we report a<br />
follow up <strong>of</strong> one biologically interesting interactor: a potent<br />
neurite outgrowth inhibitor, which has also been implicated in<br />
apoptosis, schizophrenia, bipolar disorder and Alzheimer’s<br />
disease. We confirmed the interaction, by<br />
immunocytochemistry and co-immunoprecipitation.<br />
Furthermore, we performed expression analysis <strong>of</strong> both genes<br />
in the developing mouse brain. Interestingly, we have<br />
identified a possible functional interaction between GPR50<br />
and this protein. Transient GPR50 over-expression results in<br />
extended neurites (p
52 ASSOCIATION STUDY OF GENES INVOLVED IN<br />
A-TO-I RNA EDITING IN BIPOLAR DISORDER AND<br />
SCHIZOPHRENIA PATIENTS FROM AN ISOLATED<br />
NORTHERN SWEDISH POPULATION.<br />
S. Ceulemans* (1), M. Alaerts (1), D. Forero (1), S. De Zutter<br />
(1), K. Norrback (2), L. Moens (1), R. Adolfsson (2), J.<br />
Del-Favero (1)<br />
1. Applied Molecular Genomics Group, VIB Department <strong>of</strong><br />
Molecular Genetics, Belgium University <strong>of</strong> Antwerp (UA),<br />
Antwerpen, Belgium 2. Department <strong>of</strong> Clinical Sciences,<br />
Division <strong>of</strong> Psychiatry, Umeå University, Sweden<br />
* shana.ceulemans@molgen.vib-ua.be<br />
Bipolar (BP) disorder and schizophrenia (SZ) are among the<br />
most commonbrain diseases worldwide with a large impact on<br />
both the patients and theirrelatives’ lives. The observation that<br />
receptor subunits <strong>of</strong> twoimportant neurotransmitters <strong>of</strong> the<br />
central nervous system, glutamate andserotonin, undergo<br />
A-to-I RNA editing by “Adenosine Deaminases Acting on<br />
RNA” (ADARs) supports the hypothesis that this modification<br />
is potentially involvedin the etiology <strong>of</strong> psychiatric disorders.<br />
In our search for BP disorder and SZ susceptibility genes, we<br />
are exploring the malfunctioning and/or deficiency <strong>of</strong> the<br />
A-to-I RNA editingprocess. Hereto, a HapMapbased<br />
association study <strong>of</strong> the genes ADAR, ADARB1 and GRIA2<br />
was performed by genotyping a total <strong>of</strong> 90 (h)tSNPs inBP<br />
patients (N=316); SZ patients (N=486) and matched control<br />
individual (n=512) originating from a northern Swedish<br />
isolated population. Single marker and haplotype specific<br />
statistical analyses showed significant association <strong>of</strong> several<br />
ADARB1 SNPs withBP as well as with LD-blocks <strong>of</strong><br />
ADARB1with BP disorder. In addition, ADARB1gave also<br />
rise to an associated haplotype with SZ. Together, these<br />
resultsindicate that ADARB1 should befurther explored to<br />
unravel its genetic contribution to the etiology <strong>of</strong> BP disorder<br />
and SZ. Furthermore,single marker association was found for<br />
ADARwith SZ (P=0,027) and for GRIA2 withBP disorder<br />
(P=0,006).Taken together, the results <strong>of</strong> this association study<br />
show that A-to-I RNA editing ispotentially involved in the<br />
susceptibility to psychiatric disorders.<br />
53 ASSOCIATION OF NEUROTROPHIN RECEPTOR<br />
(NTRK-3) GENE POLYMORPHISMS WITH BIPOLAR<br />
DISORDERS<br />
S. Djurovic* (1, 2, 3), M. Mattingsdal (1), L. Athanasiu (2, 3),<br />
I. Melles (1, 3), I. Agartz (1, 4), S. Lorentzen (1, 5), G.<br />
Morken (6), O. Andreassen (1, 3)<br />
1. Institute <strong>of</strong> Psychiatry, University <strong>of</strong> Oslo, Oslo, Norway 2.<br />
Department <strong>of</strong> <strong>Medical</strong> Genetics; Oslo University Hospital -<br />
Ulleval, Oslo, Norway 3. Department <strong>of</strong> Psychiatry; Oslo<br />
University Hospital - Ulleval, Oslo, Norway 4. Department <strong>of</strong><br />
Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway<br />
5. Department <strong>of</strong> Psychiatry, Oslo University Hospital –Aker,<br />
Oslo, Norway 6. Østmarka Psychiatric Department, St Olavs<br />
Hospital and Institute <strong>of</strong> Neuroscience, Norwegian University<br />
<strong>of</strong> Technology and Science, Trondheim, Norway<br />
* srdjan.djurovic@medisin.uio.no<br />
Recent Genome Wide Association Studies (GWAS) have<br />
revealed novel candidate genes for bipolar disorder, but most<br />
<strong>of</strong> the genetic mechanisms are still unknown. In the present<br />
study we investigated possible genetic variants <strong>of</strong> NTRK-3<br />
associated with bipolar disorder in a homogenous Norwegian<br />
sample (the TOP study), based on its important role in brain<br />
development and plasticity and our recently reported findings<br />
for possible association with schizophrenia. We carried<br />
out GWAS <strong>of</strong> bipolar disorder using the Affymetrix 6.0 array<br />
in case-control samples <strong>of</strong> Norwegian origin (bipolar disorder<br />
(n=225) , healthy controls (n=385)). Twelve NTRK-3 single<br />
nucleotide polymorphisms (SNPs) were nominally associated<br />
with bipolar disorder. This has been followed by replication in<br />
the available schizophrenia sample and confirmed significant.<br />
The SNPs investigated in the current study are all located in<br />
intronic regions <strong>of</strong> NTRK-3. Thus, it is difficult to achieve a<br />
full understanding <strong>of</strong> the effect <strong>of</strong> the different SNPs on the<br />
level <strong>of</strong> diagnosis and brain biology. In order to evaluate the<br />
importance <strong>of</strong> NTRK-3 variants in psychosis, further efforts in<br />
identification <strong>of</strong> quantifiableclinical (endo)phenotypic<br />
variables are needed.
54 ASSOCIATION ANALYSIS WITH DYSBINDIN<br />
GENE: SHARED GENETIC SUSCEPTIBILITY<br />
BETWEEN BIPOLAR DISORDERS AND<br />
SCHIZOPHRENIA?<br />
A. Ruiz* (1), R. Murray (2), J. Powell (2), E. Miranda (1), P.<br />
Sham (3)<br />
1. Departamento de Psiquiatría, Facultad de Medicina,<br />
Hospital Clínico Universidad de Chile, Santiago, Chile. 2.<br />
Institute <strong>of</strong> Psychiatry, King’s College London, University <strong>of</strong><br />
London. UK 3. Genome Research Center, University <strong>of</strong> Hong<br />
Kong, Hong Kong.<br />
* airuiz@uchile.cl<br />
Introduction: Recent studies have suggested an overlap in<br />
genetic susceptibility for bipolar disorders and schizophrenia,<br />
including dysbindin gene. Susceptibility alleles for<br />
neuropsychiatric disorders, and patterns <strong>of</strong> linkage<br />
disequilibrium, are likely to differ in ethnically different<br />
populations. Admixed populations <strong>of</strong>fer an opportunity to<br />
evaluate the role <strong>of</strong> genetics in the aetiology <strong>of</strong> complex<br />
disorders. The objective <strong>of</strong> this study is to carry out an<br />
ssociation analysis <strong>of</strong> dysbindin gene with schizophrenia and<br />
bipolar disorders in a Chilean admixed population. This paper<br />
will present the results found in the association study between<br />
the dysbindin gene and schizophrenia. Method A case-control<br />
and schizophrenic family samples, according to DSM-IV<br />
criteria, were studied. Five hundred and sixty individuals were<br />
included. Ten dysbindin SNPs, previously associated with<br />
schizophrenia, were genotyped. Markers informative for<br />
ancestry were selected to study the Chilean population<br />
structure. Unphased program was used for the statistical<br />
analysis. Population stratification was studied with L-POP<br />
s<strong>of</strong>tware. WHAP program was used in the structured<br />
association analysis. Results No single marker and haplotype<br />
associations were detected (p>0.05). The Chilean samples<br />
showed the same pattern <strong>of</strong> allele frequencies and LD<br />
described for ethnically diverse samples. The analysis <strong>of</strong><br />
population structure found two ancestral populations. The<br />
structured association analysis <strong>of</strong> dysbindin gene, did not<br />
detect possible spurious findings in the Chilean case-control<br />
sample. Conclusion No association between dysbindin gene<br />
and schizophrenia was found. An appropriate interpretation <strong>of</strong><br />
the results must consider all possible limitations, including<br />
false results, due to insufficient statistical power, allelic<br />
heterogeneity, and clinical heterogeneity <strong>of</strong> schizophrenia<br />
55 RGS4 GENE AND SCHIZOPHRENIA: A<br />
CANDIDATE GENE STUDY IN A CHILEAN ADMIXED<br />
POPULATION<br />
A. Ruiz* (1), R. Murray (2), J. Powell (2), E. Miranda (1), P.<br />
Sham (3)<br />
1. Departamento de Psiquiatría, Facultad de Medicina,<br />
Hospital Clínico Universidad de Chile, Santiago, Chile. 2.<br />
Institute <strong>of</strong> Psychiatry, King’s College London, University <strong>of</strong><br />
London. UK 3. Genome Research Center, University <strong>of</strong> Hong<br />
Kong, Hong Kong.<br />
* airuiz@uchile.cl<br />
Introduction: It has been reported that polymorphisms in the<br />
RGS4 gene, on 1q21-22, are associated with schizophrenia.<br />
This study analysed this possible association in a Chilean<br />
admixed sample, ethnically different from populations<br />
examined in previous reports. Methods: The study was carried<br />
out in a case-control sample, composed <strong>of</strong> cases with DSM-IV<br />
schizophrenia and unaffected control subjects; and a sample<br />
<strong>of</strong> DSM-IV schizophrenics families. Five hundred and sixty<br />
individuals were recruited in Santiago, Chile. Four RGS4<br />
markers, previously associated with schizophrenia, and a<br />
number <strong>of</strong> ancestry informative markers were genotyped. The<br />
data were analysed by means <strong>of</strong> the UNPHASED program.<br />
Analysis <strong>of</strong> population stratification, in the case-control<br />
sample, was carried out using L-POP s<strong>of</strong>tware. A structured<br />
association analysis was performed with WHAP program.<br />
Results: The analysis <strong>of</strong> population structure detected<br />
stratification in the case-control sample; however the cases<br />
and controls were well matched. Significant LD was observed<br />
for all pairwise calculations. In both samples, none <strong>of</strong> the<br />
SNPs included in this analysis were found to be associated<br />
with illness (P >0.05), and no significant haplotypic<br />
association was observed (P > 0.05). The structured<br />
association analysis did not show confounding effects <strong>of</strong><br />
population stratification. Conclusions: No evidence was found<br />
to support an association between genetic variants in the<br />
RGS4 gene and schizophrenia in this sample; even though the<br />
genetic analysis suggested that the Chilean sample showed<br />
similarities with ethnically different samples, previously<br />
described as having association with this gene. Among other<br />
explanations, these results might be the consequence <strong>of</strong><br />
inadequate statistical power.
56 CIRCADIAN POLYMORPHISMS IN NIGHTOWLS<br />
D. Kripke* (1), C. Nievergelt (1), K. Rex (1), W. Klimecki<br />
(2), S. Ancoli-Israel (1), T. Shekhtman (1), J. Kelsoe (1)<br />
1. Department <strong>of</strong> Psychiatry, University <strong>of</strong> California, San<br />
Diego 2. Department <strong>of</strong> Pharmacology, University <strong>of</strong> Arizona<br />
* dkripke@ucsd.edu<br />
Patients with DSM-IV delayed sleep phase disorder, or<br />
nightowls, have trouble falling asleep until very late at night<br />
and trouble awakening in the morning. This <strong>of</strong>ten-disabling<br />
condition is believed to be partially genetic in origin. It has<br />
been hypothesized that polymorphisms in the genes<br />
comprising the intracellular circadian oscillator system may be<br />
involved, as has been demonstrated with the converse<br />
advanced sleep phase disorder. In our sample, delayed sleep<br />
phase disorder is comorbid with both unipolar depression and<br />
bipolar disorder. Cases were 362 mixed-ancestry volunteers<br />
recruited nationally by advertising and interview and 355<br />
ancestrally-balanced controls without any reported disorder <strong>of</strong><br />
sleep timing. DNA from blood or saliva samples was<br />
genotyped for 768 SNPs using a custom Illumina Golden Gate<br />
assay. At least some SNPs providing partial tag-SNP<br />
coverage <strong>of</strong> 36 genes involving the circadian system, its visual<br />
input, and melatonin synthesis were examined. A number <strong>of</strong><br />
polymorphisms were nominally associated with DSPS<br />
case-control status, but only rs2482705 in NFIL3 was<br />
significantly associated after control for multiple testing<br />
(nominal P=0.0002, EMP2=0.032, OR=0.46), and that only<br />
among self-identified Europeans, when preliminary controls<br />
for 10 ancestry factors and age were included in the model.<br />
NFIL3 is a negative transcription factor regulating<br />
transcription <strong>of</strong> several circadian genes and participating in<br />
circadian molecular feedback loops. Since the rare A allele<br />
had an odds ratio <strong>of</strong> 0.46, it may be protective against delayed<br />
sleep phase or may tend to produce advanced sleep phase.<br />
57 A FAMILY-BASED STUDY OF DNA SEQUENCE<br />
VARIANTS IN GRM7 WITH SCHIZOPHRENIA IN AN<br />
INDONESIAN POPULATION<br />
S. Schwab* (1), C. Ganda (1), N. Amir (2), H. Heriani (2), I.<br />
Irmansyah (2), A. Kusumawardhani (2), M. Nasrun (2), I.<br />
Widyawati (2), D. Wildenauer (1)<br />
1. University <strong>of</strong> Western Australia 2. University <strong>of</strong> Indonesia<br />
* sschwab@cyllene.uwa.edu.au<br />
Differences in clinical presentation and outcome <strong>of</strong><br />
schizophrenia in patients from developing countries as<br />
opposed to developed countries may suggest the presence <strong>of</strong><br />
specific environmental and/or genetic factors. In order to<br />
address this question, we have collected a sample <strong>of</strong> 124<br />
affected sib-pair families with schizophrenia in Indonesia. We<br />
have used this sample previously for genome wide linkage<br />
analysis and have reported a genome wide significant locus on<br />
chromosome 3p. In our current study we have performed an<br />
association study using single nucleotide polymorphisms<br />
(SNPs) located in the genomic region <strong>of</strong> the metabotropic<br />
glutamate receptor 7 (GRM7) which is located in the centre <strong>of</strong><br />
the linkage peak on chromosome 3p. Overall, 18 SNPs have<br />
been genotyped using fluorescence based genotyping in the<br />
sample <strong>of</strong> 124 families showing evidence for linkage.<br />
Transmission disequilibrium test revealed one SNP<br />
(rs17031835) with association at a nominal significance level<br />
(P=0.004, not corrected for multiple testing). In addition,<br />
multiple haplotypes containing this SNP showed nominal<br />
significant association as well. Our study supports the idea<br />
that glutamatergic transmission and specifically the GRM7<br />
gene might be important in the development <strong>of</strong> schizophrenia<br />
in the Indonesian population.
58 INTERACTION OF 5HTTLPR AND DRD4 VNTR ON<br />
SUSTAINED ATTENTION<br />
M. Yamamoto* (1), J. McGeary (1, 2), T. Wells (3), C.<br />
Beevers (3)<br />
1. Brown University Center for Alcohol and Addiction Studies<br />
2. Research Service, Providence Veterans Affairs <strong>Medical</strong><br />
Center 3. University <strong>of</strong> Texas at Austin<br />
* maki_yamamoto@brown.edu<br />
Previous research suggests an association <strong>of</strong> 5HTTLPR<br />
variation with regards to depression and biased attention to<br />
emotional stimuli. Separate lines <strong>of</strong> research indicate a similar<br />
association between DRD4 VNTR and attention related<br />
phenotypes. This study aims to examine how these two<br />
variations interact in a population <strong>of</strong> non-depressed,<br />
un-medicated, healthy adults. Participants completed a<br />
standardized spatial cueing task that assessed maintenance <strong>of</strong><br />
attention for happy, sad, fearful, and neutral facial<br />
expressions. Individuals were also genotyped for 5HTTLPR<br />
and DRD4 VNTR polymorphisms. Results indicate a clear<br />
gene x gene interaction for the prediction <strong>of</strong> maintained<br />
attention. In DRD4 VNTR short homozygotes, an allele dose<br />
pattern is observed such that each additional short 5HTTLPR<br />
allele is associated with increased sustained attention for all<br />
stimuli. However, the pattern is completely reversed for<br />
DRD4 VNTR individuals who carry a seven or greater repeat<br />
allele. Specifically, there is an allele dose response<br />
relationship <strong>of</strong> decreased attention for each additional short<br />
5HTTLPR allele. These results extend and expand on what<br />
has previously been examined in attentional bias studies. If<br />
replicated, these results suggest the need to jointly model<br />
5HTTLPR and DRD4 VNTR variation in such studies.<br />
59 POLYMORPHISMS IN THE TACR1 GENE ARE<br />
ASSOCIATED WITH<br />
ATTENTION-DEFICIT/HYPERACTIVITY DISORDER<br />
(ADHD), ALCOHOLISM, BIPOLAR DISORDER AND<br />
COMBINED ALCOHOLISM WITH BIPOLAR<br />
DISORDER<br />
S. Sharp* (1), A. McQuillin (1), G. Lydall (1), N. Bass (1), A.<br />
Anjorin (1), M. Marks (1), J. Lawrence (1), M. Morgan (1), P.<br />
Asherson (2), A. Thapar (3), S. Hunt (1), C. Stanford (1), H.<br />
Gurling (1)<br />
1. University College London 2. King's College London 3.<br />
Cardiff University<br />
* s.sharp@ucl.ac.uk<br />
Attention-deficit/hyperactivity disorder (ADHD) is a clinically<br />
and genetically heterogeneous syndrome which is comorbid<br />
with childhood conduct disorder, alcoholism, substance abuse,<br />
dis-social personality disorder, and affective disorders. It is<br />
becoming increasingly clear that genes causing bipolar mania<br />
overlap with genes for a subtype <strong>of</strong> ADHD. Mice with<br />
functional ablation <strong>of</strong> the tachykinin receptor 1, TACR1, gene<br />
have recently been proposed as a model <strong>of</strong> ADHD, presenting<br />
locomotor hyperactivity that is prevented by<br />
psychostimulants. These mice also have reduced voluntary<br />
alcohol consumption, an effect that is mimicked by systemic<br />
administration <strong>of</strong> the TACR1 antagonist L-703,606 in wildtype<br />
mice. We and others have found evidence <strong>of</strong> association<br />
between TACR1 and bipolar disorder in three independent<br />
samples. We have also detected association with TACR1<br />
SNPs with ADHD, alcoholism and in combined alcoholism<br />
with bipolar disorder. Increased susceptibility to subtypes <strong>of</strong><br />
ADHD, alcoholism and bipolar disorder may be caused by the<br />
same mutations in TACR1. An alternative hypothesis is that<br />
one set <strong>of</strong> mutations increases the risk for ADHD and that<br />
different sets increase the risk for bipolar disorder and<br />
alcoholism. In an attempt to address this issue, TACR1 in<br />
cases <strong>of</strong> ADHD and combined alcoholism with bipolar<br />
disorder have been sequenced in order to identify potentially<br />
aetiological changes.
60 HUMAN MINERALOCORTICOID RECEPTOR<br />
GENE VARIANTS MODULATE COGNITIVE<br />
VULNERABILITY FOR DEPRESSION<br />
M. Klok* (1), A. Van der Does (2), E. Giltay (3), F. Zitman<br />
(3), E. De Kloet (1), R. DeRijk (1)<br />
1. Division <strong>of</strong> <strong>Medical</strong> Pharmacology, Leiden University,<br />
Leiden/Amsterdam Center for Drug Research (LACDR), The<br />
Netherlands 2. Department <strong>of</strong> Psychology, Leiden University,<br />
The Netherlands 3. Department <strong>of</strong> Psychiatry, Leiden<br />
University <strong>Medical</strong> Center (LUMC), The Netherlands<br />
* m.d.klok@lacdr.leidenuniv.nl<br />
The mineralocorticoid receptor (MR) plays a central role in<br />
the regulation <strong>of</strong> hypothalamic-pituitary-adrenal (HPA) axis<br />
activity. Animal studies indicate that the MR mediates effects<br />
<strong>of</strong> cortisol on emotions and coping behaviour. We hypothesise<br />
that human MR-gene variants influence cognition and<br />
emotions. Previously, we showed that a single nucleotide<br />
polymorphism (SNP; MR I180V) related to more feelings <strong>of</strong><br />
depression among elderly and identified a MR haplotype<br />
(frequency .36) to relate to higher dispositional optimism in<br />
elderly women, not in men. In the present study 154 students<br />
(46 M/108 F; 23.9±5 yrs) completed a questionnaire that<br />
measures cognitive vulnerability to depression and that<br />
includes subscales for hopelessness, rumination and<br />
aggression (LEIDS-R; Leiden Index <strong>of</strong> Depression<br />
Sensitivity-Revised). Neuroticism was also measured<br />
(NEO-PI) as well as symptoms <strong>of</strong> depression (HADS-D). MR<br />
SNPs and haplotypes were assessed, resulting in three<br />
haplotypes with frequencies <strong>of</strong> .50; .35; .13. Significant<br />
associations were found only in females between the<br />
haplotype with a frequency .35 and lower scores for<br />
hopelessness, aggression, risk aversion, neuroticism (p< .05),<br />
and in particular for rumination (p= .001), persisting after<br />
adjustment for age and emotional abuse during childhood.<br />
Excluding currently depressed participants (n= 14)<br />
strengthened the results. Moreover, this haplotype<br />
significantly associated with less symptoms <strong>of</strong> depression (p<<br />
.05). The results fit with our previous study showing an<br />
association between this haplotype and higher dispositional<br />
optimism, also only in women. Together the data indicate that<br />
MR-gene variants modulate cognitive vulnerability for<br />
depression. Financial support: Hersenstichting Nederland<br />
(project No. 10F02(2).37), Rivierduinen, KNAW<br />
61 A COLLABORATIVE FAMILY-BASED<br />
ASSOCIATION STUDY OF A GLUTAMATE<br />
RECEPTOR GENE (GRIN2B) IN OBSESSIVE<br />
COMPULSIVE DISORDER.<br />
S. Shaheen* (1), P. Arnold (1), S. Stewart (2), S. Taillefer (3),<br />
E. Yamashita (3), J. Fagerness (3), A. Hounie (4), E. Cook (5),<br />
D. Pauls (2), M. Richter (6), J. Kennedy (7), C. Mathews (8),<br />
G. Hanna (9)<br />
1. Hospital for Sick Children, University <strong>of</strong> Toronto 2.<br />
Massachusetts General Hospital 3. Hospital for Sick Children<br />
4. University <strong>of</strong> Sao Paulo 5. University <strong>of</strong> Illinois at Chicago<br />
6. Sunnybrook Health Sciences Centre 7. Centre for Addiction<br />
and Mental Health 8. University <strong>of</strong> California at San Francisco<br />
9. University <strong>of</strong> Michigan<br />
* shaheen70@gmail.com<br />
Obsessive-compulsive disorder (OCD) is a common<br />
debilitating condition affecting 1-3% <strong>of</strong> the population. Recent<br />
investigation suggests that glutamate, an excitatory<br />
neurotransmitter, may play a critical role in the pathogenesis<br />
<strong>of</strong> OCD. Specifically, the candidate gene GRIN2B (ionotropic<br />
glutamate receptor NMDA 2B subunit) has been implicated in<br />
OCD based on evidence from neuroimaging and previous<br />
family based association studies. The purpose <strong>of</strong> this study<br />
was to examine a possible association between SNPs and<br />
haplotype blocks <strong>of</strong> GRIN2B and OCD in a larger sample that<br />
has been examined previously for this gene. The sample<br />
consisted <strong>of</strong> OCD-affected probands and their immediate<br />
family members from a combined sample <strong>of</strong> 1575 individuals<br />
(308 families), recruited from specialized OCD clinics by<br />
investigators at six sites. Tag SNPs were selected (n = 10)<br />
using publicly available databases (dbSNP, HapMap) and the<br />
Haploview program.Genotyping was performed on the<br />
sequenom iPlex platform. Data analysis was performed using<br />
a Family Based Association Test (FBAT) under two models <strong>of</strong><br />
inheritance. SNPs rs1019385 (p = 0.04), and rs1806191 (p =<br />
0.04) were significantly associated with OCD transmission in<br />
male probands. A haplotype block consisting <strong>of</strong> SNPs<br />
rs1806191 and rs1806201 (p < .05) was associated with OCD<br />
transmission in male and female probands. These findings<br />
suggest a possible role <strong>of</strong> the glutamatergic system,<br />
particularly GRIN2B, in the pathogenesis <strong>of</strong> OCD.
62 ASSOCIATION OF TRYPTOPHAN<br />
HYDROXYLASE-2 (TPH2) POLYMORPHISM WITH<br />
AGE AT FIRST SUICIDE ATTEMPT IN<br />
PSYCHIATRICALLY ADMITTED ADOLESCENTS<br />
A. Cohen* (1), J. McGeary (2), C. Esposito-Smythers (3), A.<br />
Spirito (4)<br />
1. Department <strong>of</strong> Biology, Brown University 2. Providence<br />
Veterans Affairs <strong>Medical</strong> Center, Providence, Rhode Island 3.<br />
Department <strong>of</strong> Psychology, George Mason University 4.<br />
Center for Alcohol and Addiction Studies, Brown University<br />
* andrew_cohen@brown.edu<br />
Background Tryptophan hydroxylase-2 (TPH2) is the<br />
rate-limiting enzyme in the production <strong>of</strong> serotonin (5-HT) in<br />
the brain. Genetic variation in the TPH2 gene has been<br />
associated with major depressive disorder, bipolar disorder,<br />
and suicide attempt and completion. However, results so far<br />
are inconclusive. Adolescents represent an at-risk population<br />
for suicide and thus examination <strong>of</strong> TPH2 variation within an<br />
adolescent sample could provide important information on the<br />
neurobiology underlying suicidal behavior. Methods 90<br />
psychiatrically admitted adolescents (ages 13-17) were<br />
genotyped for TPH2 SNP rs1386494 and associations with<br />
history <strong>of</strong> a suicide attempt, method <strong>of</strong> attempt (violent or<br />
non-violent), and age at first attempt were examined for<br />
statistical significance. Results No differences were found<br />
across groups on age, gender, race, or ethnicity. Among<br />
suicide attempters, A carriers were more likely to have a<br />
history <strong>of</strong> violent suicide attempts than GG homozygotes<br />
(50% vs. 32%, small effect). Conversely, among suicide<br />
attempters, GG homozygotes were more likely to have a<br />
history <strong>of</strong> non-violent suicide attempts (71% vs. 60%, small<br />
effect). Further, GG homozygotes reported an earlier age at<br />
first suicide (M = 13.2, SD= 2.8) attempt than A carriers (M =<br />
15.2, SD= 1.2) (large effect). No differences were found<br />
across groups on presence <strong>of</strong> any suicide attempt or total<br />
number <strong>of</strong> attempts. Conclusion Preliminary results suggest<br />
that variation within the TPH2 gene influences suicide-related<br />
phenotypes. It is possible that TPH2 variation impacts early<br />
brain development that influences suicidal behavior. Further<br />
study <strong>of</strong> this gene in larger samples is needed to continue this<br />
investigation.<br />
63 HIPPOCAMPAL ATROPHY AS A QUANTITATIVE<br />
TRAIT IN A GENOME-WIDE ASSOCIATION STUDY<br />
(GWAS) IDENTIFYING NOVEL SUSCEPTIBILITY<br />
GENES FOR ALZHEIMER’S DISEASE<br />
S. Potkin* (1), G. Guffanti (1), A. Lakatos (1), J. Turner (1),<br />
F. Kruggel (1), J. Fallon (1), A. Saykin (2), A. Orro (3), S.<br />
Lupoli (3), E. Salvi (3), M. Weiner (4), F. Macciardi (1), A.<br />
Neuroimaging Initiative<br />
1. University <strong>of</strong> California, Irvine 2. Indiana University 3.<br />
University <strong>of</strong> Milan 4. University <strong>of</strong> California, San Francisco<br />
* sgpotkin@uci.edu<br />
INTRODUCTION With the exception <strong>of</strong> APOE e4 allele, the<br />
common genetic risk factors for sporadic Alzheimer’s Disease<br />
(AD) are unknown. GWAS studies <strong>of</strong>fer the possibility <strong>of</strong><br />
discovering unanticipated risk genes. METHOD We<br />
completed a genome-wide association study on 381<br />
participants in the ADNI (Alzheimer’s Disease Neuroimaging<br />
Initiative) study. Samples were genotyped using the Illumina<br />
Human610-Quad BeadChip. 516,645 unique Single<br />
Nucleotide Polymorphisms (SNPs) were included in the<br />
analysis following quality control measures. Two analyses<br />
were completed: a standard case-control analysis, and a novel<br />
approach using hippocampal atrophy measured on MRI as an<br />
objectively defined, quantitative phenotype. A General Linear<br />
Model was applied to identify SNPs for which there was an<br />
interaction between the genotype and diagnosis on the<br />
quantitative trait. RESULTS The case-control analysis<br />
identified APOE and TOMM40 at a genome-wide significance<br />
level <strong>of</strong> £10-6. The quantitative trait analysis identified 21<br />
genes or chromosomal areas with a p-value £10-6, which can<br />
be considered potential “new” candidate loci to explore in the<br />
etiology <strong>of</strong> sporadic AD. These candidates included EFNA5,<br />
CAND1, MAGI2, ARSB, and PRUNE2, genes involved in the<br />
regulation <strong>of</strong> protein degradation, apoptosis, metabolism and<br />
neuronal loss. Supportive evidence based on case-control<br />
studies and biological plausibility by gene annotation is<br />
provided. CONCLUSION Using hippocampal atrophy as a<br />
quantitative phenotype in a genome-wide scan, we have<br />
identified new candidate risk genes for sporadic Alzheimer’s<br />
disease that merit further investigation. A QT analysis<br />
provides a powerful strategy for gene discovery in the context<br />
<strong>of</strong> a genome-wide survey.
64 A COMMON MECP2 HAPLOTYPE ASSOCIATES<br />
WITH REDUCED CORTICAL SURFACE AREA IN<br />
HUMANS IN TWO INDEPENDENT POPULATIONS<br />
A. Joyner* (1, 2), C. Roddey (1), C. Bloss (1), T. Bakken (1),<br />
L. Rimol (3), I. Melles (3), I. Agartz (3), S. Djurovic (3), E.<br />
Topol (2), N. Schork (2), O. Andreassen (3), A. Dale (1)<br />
1. <strong>UCSD</strong> 2. STSI 3. TOP<br />
* ajoyner@ucsd.edu<br />
The gene MECP2 is a well-known determinant <strong>of</strong> brain<br />
structure. Mutations in this gene cause microencephalopathy<br />
and are associated with several neurodevelopmental disorders<br />
that affect both brain morphology and cognition. Though<br />
mutations in MECP2 result in severe neurological phenotypes,<br />
the effect <strong>of</strong> common variation in this genetic region is<br />
unknown. We find that common sequence variations in a<br />
region in and around MECP2 show association with structural<br />
brain size measures in two independent cohorts, a discovery<br />
sample from the Thematic Organized Psychosis (TOP)<br />
research group, and a replication sample from the Alzheimer’s<br />
Disease Neuroimaging Initiative (ADNI). The most<br />
statistically significant replicated association (p
66 GENETIC VARIATIONS OF FYN-TYROSINE<br />
KINASE IN PSYCHIATRIC DISORDERS<br />
K. Hattori* (1), Y. IIjima (1), H. Uchiyama (1), N.<br />
Yamamoto (1), T. Fujii (1), H. Hori (1), T. Teraishi (1), R.<br />
Hashimoto (2), M. Tatsumi (3), M. Omori (4), N. Okamoto<br />
(4), K. Arima (4), T. Higuchi (5), H. Kunugi (1)<br />
1. Department <strong>of</strong> Mental Disorder Research, National Institute<br />
<strong>of</strong> Neuroscience, National Center <strong>of</strong> Neurology and Psychiatry<br />
2. Molecular Research Center for Children's Mental<br />
Development, Osaka University Graduate School <strong>of</strong> Medicine<br />
3. Yokohama psychosomatic clinic 4. Department <strong>of</strong><br />
Psychiatry, Musashi Hospital, National Center <strong>of</strong> Neurology<br />
and Psychiatry 5. National Center <strong>of</strong> Neurology and<br />
Psychiatry<br />
* hattori@ncnp.go.jp<br />
Introduction: Fyn kinase regulates NMDA-R function, and<br />
participates in learning, emotion and sensitivity to<br />
antipsychotics. Recently, we found that Fyn protein levels are<br />
decreased in the platelets <strong>of</strong> schizophrenic patients (Hattori et<br />
al., 2009). We also found splicing patterns <strong>of</strong> fyn mRNA are<br />
altered in schizophrenia; specifically, the ratio <strong>of</strong> a defective<br />
is<strong>of</strong>orm fyn delta-7, in which exon7 was absent, was elevated.<br />
Methods: To determine whether genetic variations <strong>of</strong> fyn gene<br />
are associated with psychiatric disorders such as schizophrenia<br />
and bipolar disorder, weanalyzed Japanese cohort <strong>of</strong> 497<br />
patients with schizophrenia, 528 major depression, 138 bipolar<br />
disorder, and 932 control subjects. Eight tagging SNPs were<br />
genotyped by TaqMan assays. A possible association between<br />
the fyn genotype with performance in the Wisconsin Card<br />
Sorting Test (WCST) and intelligence quotient (IQ) was also<br />
examined in 166 control subjects. Results: Although no<br />
association <strong>of</strong> those SNPs with schizophrenia or depression<br />
was found, a weak but significant association was found<br />
between bipolar disorder and a SNP. Haplotype analyses also<br />
revealed that the frequencies <strong>of</strong> the haplotype that contain<br />
above SNP were significantly different between bipolar<br />
disorder and the control. Next, among control subjects,<br />
significant differences were observed between two SNPs, both<br />
are on the same LD block, and WCST scores. Conclusion:<br />
Genetic variation <strong>of</strong> the fyn gene may contribute to molecular<br />
mechanisms <strong>of</strong> bipolar disorder and some aspects <strong>of</strong><br />
intelligence.<br />
67 DIFFERENTIAL GENE EXPRESSION ANALYSIS<br />
BY ACUTE AND CHRONIC LITHIUM TREATMENT<br />
IN HUMAN PRIMARY FIBROBLASTS<br />
C. Fukuhara* (1), S. Lee (1), K. Singhapakdi (2), S. Chen<br />
(3), C. Maddox (4), M. Iuvone (5)<br />
1. Neuroscience Institute, Morehouse School <strong>of</strong> Medicine 2.<br />
Emory University 3. Department <strong>of</strong> Dermatology, Emory<br />
University School <strong>of</strong> Medicine 4. CRC, Morehouse School <strong>of</strong><br />
Medicine 5. Department <strong>of</strong> Ophthalmology, Emory University<br />
School <strong>of</strong> Medicine<br />
* cfukuhara@msm.edu<br />
One <strong>of</strong> the difficulties treating psychiatric patients is that some<br />
patients are resistant to certain medications. To help<br />
developing personalized therapies, it would be beneficial to<br />
establish an assay by which clinical sensitivities to medicines<br />
can be evaluated in vitro. For many psychiatric drugs, it takes<br />
several weeks to find out whether or not they will be effective,<br />
a predictive diagnostic test would be useful. Dermal fibroblast<br />
may serve as a convenient model to study the long-term<br />
effects <strong>of</strong> psychiatric medications because they survive long<br />
enough in vitro for chronic drug experiments without<br />
immortalization, and they express certain transporters and<br />
receptors that are targets <strong>of</strong> psychiatric medicines. A goal <strong>of</strong><br />
the present study was to test the hypothesis that dermal<br />
fibroblasts obtained from human subjects can be used to study<br />
the effects <strong>of</strong> psychiatric medicines on differential gene<br />
expression patterns among subjects. The mood stabilizer<br />
lithium was used to test for differential gene expression<br />
patterns. Skin biopsies were obtained from healthy volunteers<br />
and fibroblast cell cultures were initiated. Fibroblasts were<br />
cultured in the presence <strong>of</strong> lithium at 0, 1, or 1.5 mM<br />
concentration for 1 or 4 weeks before harvest. No significant<br />
difference was observed in cell numbers among the three<br />
groups for up to 1 week <strong>of</strong> the treatments. Total RNA was<br />
isolated from those samples and subjected to Affymetrix<br />
GeneChip Human Genome Array analysis and further real<br />
time quantitative PCR for validation. Our preliminary data<br />
showed that 1738 and 1029 mRNA species were up- and<br />
down-regulated more than two fold by 1-week lithium<br />
treatment. After 4 weeks lithium treatment, 1227 and 962<br />
species were up- and down-regulated. Expressions <strong>of</strong> about<br />
5000 genes were differentially affected between 1 and 4 weeks<br />
lithium treatments. Consistently over expressed and<br />
suppressed genes between 1 and 4 weeks lithium treatments<br />
were 257 and 180, respectively. Success in establishing the<br />
dermal fibroblast model will enable us to identify biomarkers<br />
that can be used to develop personalized medicines.
68 TRYPTOPHAN HRYDROXYLASE-2 5'- AND<br />
3'-REGULATORY POLYMORPHISMS ARE<br />
DIFFERENTIALLY ASSOCIATED WITH HPA AXIS<br />
FUNCTION AND SELF-INJURIOUS BEHAVIOR IN<br />
RHESUS MONKEY<br />
G. Chen* (1), M. Novak (2), J. Meyer (2), B. Kelly (1), E.<br />
Vallender (1), G. Miller (1)<br />
1. Harvard <strong>Medical</strong> School 2. University <strong>of</strong> Massachusetts at<br />
Amherst<br />
* guo-lin_chen@hms.harvard.edu<br />
INTRODUCTION: Tryptophan hydroxylase-2 (TPH2)<br />
synthesizes neuronal serotonin and is linked to numerous<br />
behavioral traits. We have previously identified a constellation<br />
<strong>of</strong> polymorphisms in rhesus monkey TPH2 (rhTPH2) and<br />
characterized the functionality <strong>of</strong>3'-UTR polymorphisms. This<br />
study aims to functionally characterize the 5'-FR<br />
polymorphisms and comprehensively evaluate the effect <strong>of</strong><br />
rhTPH2 genotype on physiological and behavioral traits.<br />
METHODS: The functionality <strong>of</strong> rhTPH2 5'-FR<br />
polymorphisms was assessed by luciferase reporter assay,<br />
while the effects <strong>of</strong> rhTPH2 genotype on<br />
hypothalamic-pituitary-adrenal (HPA) axis function and<br />
self-injurious behavior (SIB) were evaluated by<br />
genotype-phenotype correlation. RESULTS: rhTPH2 5'-FR<br />
haplotype exhibits a significant, cell-dependent effect on gene<br />
expression. The 5'-FR -1485(AT)n polymorphism exerts<br />
significant effects on the afternoon cortisol level and nocturnal<br />
HPA negative feedback, while the 3'-UTR 2051A>C exhibits<br />
significant effects on the morning cortisol level and cortisol<br />
response to ACTH challenge, as well as marginally significant<br />
effects on the daytime HPA negative feedback and self-biting<br />
rate. Meanwhile, -1485(AT)n and 2051A>C interact to<br />
influence the plasma ACTH level. In addition, the<br />
genotype/allele frequency <strong>of</strong> 5'-FR -1325Ins>Del differed<br />
significantly between self-wounders and non-self-wounders,<br />
while 3'-UTR 2128S>L differed significantly in<br />
genotype/allele frequency between the high- and<br />
low-frequency biters. DISCUSSION: This study demonstrates<br />
the functionality <strong>of</strong> rhTPH2 5'-FR polymorphisms, and<br />
provides evidence for the differential association <strong>of</strong> rhTPH2<br />
5'-FR and 3'-UTR polymorphisms with HPA axis function and<br />
SIB. Our findings shed light on the role <strong>of</strong> TPH2 gene<br />
variance in physiology and behavioral traits, and also<br />
contribute to the understanding <strong>of</strong> the pathophysiology and<br />
genetics <strong>of</strong> SIB.<br />
69 CHRNB2 PROMOTER REGION: ASSOCIATION<br />
WITH SUBJECTIVE EFFECTS AND GENE<br />
EXPRESSION DIFFERENCES<br />
N. H<strong>of</strong>t* (1), J. Stitzel (1), K. Hutchison (2), J. Miyamoto (1),<br />
M. Ehringer (1)<br />
1. Institute for Behavioral Genetics, University <strong>of</strong> Colorado,<br />
Boulder, CO, 80309 2. The MIND, Albuquerque, NM 87131<br />
* h<strong>of</strong>t@colorado.edu<br />
The family <strong>of</strong> neuronal nicotinic acetylcholine receptors<br />
shows regulation <strong>of</strong> activity by both endogenous acetylcholine<br />
and exogenous nicotine, making sequence variations in these<br />
receptors likely candidates for association with tobacco<br />
phenotypes. Our group has previously identified a significant<br />
association between a rare SNP, rs2072658,and subjective<br />
effects reported by young adults after smoking their first few<br />
cigarettes (Ehringer et al, 2007). We have replicated this<br />
association in a sample <strong>of</strong> adult smokers reporting physical<br />
subjective effects after smoking the first <strong>of</strong> three cigarettes<br />
(1.1mg nicotine) in an experimental session (p=0.01). The<br />
association seems to be driven by sweating, heart pounding<br />
and nausea (p= 0.0075, 0.019, 0.032 respectively). This<br />
suggests variation in CHRNB2 may continue to affect<br />
subjective response long after the initiation period. To assess<br />
whether this SNP, immediately upstream <strong>of</strong> exon1 <strong>of</strong><br />
CHRNB2, and other variation in the promoter region <strong>of</strong><br />
CHRNB2 has an effect on gene expression, we cloned 3 kb<br />
upstream <strong>of</strong> the initiation codon <strong>of</strong> CHRNB2 into a luciferase<br />
reporter vector. Promoter activity was tested in three cell<br />
types. Preliminary results suggest that in SH-SY5Y and P19<br />
cells, those constructs containing the minor allele <strong>of</strong><br />
rs2072658 show reduced expression compared to those<br />
containing the common allele (21% decrease p=0.017 and<br />
19.4% decrease p=0.031 respectively). This difference<br />
indicates rs2072658may lead to functional differences in gene<br />
expression which may contribute to the subjective effects to<br />
nicotine.
70 GENETIC VARIATION IN PROMOTER REGION<br />
OF NPPA GENE IS ASSOCIATED WITH<br />
CARDIOEMBOLIC STROKE<br />
B. Chang (1), J. Kim (1), S. Ko (1), Y. Bu (2), S. Park* (1), J.<br />
Park (1)<br />
1. Kyunghee University 2. Kyunghee University Oriental<br />
<strong>Medical</strong> Science Center<br />
* sjpark422@khu.ac.kr<br />
Stroke, a complex and multigenic disease, is developed from<br />
the impaired supply <strong>of</strong> blood to the brain. The obvious genetic<br />
factors or variations which are associated with stroke have<br />
been not found. Atrial natriuretic peptide (ANP; also known as<br />
NPPA) was determined as a genetic factor responsible for<br />
several diseases including stroke. This study genotyped the<br />
single nucleotide polymorphisms (SNP) in promoter region <strong>of</strong><br />
NPPA gene using total 941 Koreans <strong>of</strong> stroke patients<br />
diagnosed from the oriental medicine and controls, and<br />
investigated its association associations. There was no<br />
significant association between four common SNPs and stroke<br />
including hemorrhagic and ischemic and controls. However, in<br />
the Trial <strong>of</strong> Org 10172 in Acute Stroke Treatment (TOAST)<br />
classification <strong>of</strong> ischemic stroke, cardioembolic stroke showed<br />
a significant increase in frequency <strong>of</strong> rs5067(A/G) compared<br />
to contols and small-vessel occlusion (SVO) (p < 0.05).<br />
Considering that natriuretic peptides, as polypeptide hormones<br />
primarily secreted from the heart, play an important role in the<br />
regulation <strong>of</strong> cardiac hemodynamics, our findings suggest that<br />
a possible association <strong>of</strong> rs5065C allele in promoter <strong>of</strong> NPPA<br />
with cardioembolic stroke could regulate the expression <strong>of</strong><br />
NPPA gene to develop into stroke. Further study addressed to<br />
the function <strong>of</strong> rs5067(A/G) is needed. This work was<br />
supported(researched)by the Second Stage <strong>of</strong> Brain Korea 21<br />
project in 2009.<br />
71 ANALYSIS OF POSITIONAL CANDIDATE GENES<br />
FOR SCHIZOPHRENIA ON CHROMOSOME 5P13<br />
I. Bespalova* (1), B. Ritter (1), G. Angelo (1), J. Hunter (1),<br />
J. Silverman (1)<br />
1. Department <strong>of</strong> Psychiatry, Mount Sinai School <strong>of</strong> Medicine,<br />
New York, NY 10029, USA<br />
* irina.bespalova@mssm.edu<br />
We have previously described a large, high-density pedigree<br />
with schizophrenia-affected family members from a genetic<br />
isolate <strong>of</strong> Spanish origin in the central mountainous region <strong>of</strong><br />
Puerto Rico. A genome scan in the extended family revealed a<br />
linkage signal on chromosome 5p13 with a multipoint<br />
lodscore <strong>of</strong> 4.8. We narrowed the region <strong>of</strong> linkage to the<br />
minimal critical interval (MCI) <strong>of</strong> 2.8 Mb, containing 13<br />
annotated genes. We have previously reported on sequencing<br />
<strong>of</strong> one <strong>of</strong> these genes, the relaxin/insulin-like family peptide<br />
receptor 3, RXFP3. In the present study we examined all <strong>of</strong><br />
the remaining 12 positional candidate genes in MCI by<br />
sequencing their coding, 5’- and 3’-untranslated, and first 2 kb<br />
<strong>of</strong> putative promoter regions in affected members <strong>of</strong> the<br />
Puerto Rican family: PDZD2, GOLPH3, MTMR12, ZFR,<br />
SUB1, NPR3, C5orf23, TARS, ADAMTS12, SLC45A2,<br />
AMACR, and C1QTNF3. We detected 100 sequence variants,<br />
61 <strong>of</strong> which were shared by all affected members <strong>of</strong> the<br />
family. The shared variants are likely to contribute to the<br />
disorder in the Puerto Rican family. To the time, we have<br />
analyzed the variants detected in the C1q and tumor necrosis<br />
factor related protein 3 (C1QTNF3) gene by genotyping in<br />
unrelated 118 schizophrenia-affected and 136 healthy Puerto<br />
Rican individuals <strong>of</strong> Spanish origin from the same central<br />
mountainous region <strong>of</strong> Puerto Rico. None <strong>of</strong> the<br />
polymorphisms demonstrated an association with the disorder,<br />
suggesting that the genetic variants in C1QTNF3 are most<br />
likely do not play role in schizophrenia.
72 THE EXPRESSION OF THE SCHIZOPHRENIA<br />
CANDIDATE GENE RGS4 IS SUBJECT TO VARIABLE<br />
CIS-ACTING INFLUENCES IN BRAIN<br />
F. Buonocore (1), C. Troakes (1), F. Hill (1), J. Cooper (1), N.<br />
Bray (1)<br />
1. Institute <strong>of</strong> Psychiatry, King's College London<br />
Regulator <strong>of</strong> G-protein signaling 4 (RGS4) modulates the<br />
intracellular signalling <strong>of</strong> several neurotransmitter receptors<br />
implicated in schizophrenia pathophysiology or treatment,<br />
including those binding dopamine, serotonin and glutamate.<br />
The expression <strong>of</strong> RGS4 in schizophrenic brain has been<br />
reported to be altered at both the RNA and protein level.<br />
Reports <strong>of</strong> genetic association between non-coding SNPs in<br />
the RGS4 gene and schizophrenia suggest that altered<br />
expression may partly reflect genetic risk factors, and<br />
therefore constitute a primary etiological mechanism in the<br />
disorder. We sought to determine whether RGS4 contains<br />
common variation affecting its expression in human brain,<br />
and, if so, where these effects are manifest. In an initial screen,<br />
we assessed relative allelic expression <strong>of</strong> RGS4 across<br />
multiple discrete brain regions in 12 individuals. We observed<br />
significant departure from the expected 1:1 ratio <strong>of</strong> allelic<br />
expression in several individuals, indicating that RGS4 is<br />
indeed subject to common cis-acting regulatory influences in<br />
brain. Furthermore, we found that, within individuals, these<br />
effects varied between brain regions, with more pronounced<br />
allelic expression imbalance in sub-cortical areas. These data<br />
demonstrate the existence <strong>of</strong> cis-regulatory variation in RGS4,<br />
which could underlie genetic association with schizophrenia,<br />
and point to areas <strong>of</strong> the brain that are affected.<br />
73 GAB2, GSTP1, SORL1, BDNF, GAPDH AND APOE,<br />
POLYMORPHISMS ASSOCIATED WITH LATE<br />
ONSET ALZHEIMER DISEASE.<br />
G. Izzo (1), O. Forlenza (1), B. Diniz (1), C. Kukita (1), L.<br />
Talib (1), P. Bertolucci (1), W. Gattaz (1), E. Ojopi* (1)<br />
1. Laboratório de Neurociências (LIM 27), Institute <strong>of</strong><br />
Psychiatry, University <strong>of</strong> São Paulo (USP), São Paulo, Brazil<br />
* elida@usp.br<br />
We investigated genes with relevant neurological function<br />
such as oxidative stress, neuronal apoptosis, and neuronal<br />
differentiation in patients with late onset Alzheimer’s Disease<br />
(AD). At the present study, we searched for associations <strong>of</strong><br />
late onset AD and 8 single nucleotide polymorphisms (SNPs)<br />
on 5 different genes (GAB2, GSTP1, BDNF, GAPDH, and<br />
APOE). DNA was extracted from AD patients and elderly<br />
controls. We performed genotypic analysis by using allelic<br />
discrimination on real-time PCR. At this time were analyzed<br />
more than 400 subjects. It was found a strong association at<br />
the studied population between the APOE*E2 allele in<br />
controls and also between the APOE*E4 allele in AD patients<br />
(P = 0,00127), confirming data already published. For GAB2<br />
rs2373115 polymorphism, our results suggest that the TT<br />
genotype <strong>of</strong>fers a higher susceptibility for developing AD,<br />
with a strong association (P = 0,005). The other genes studied<br />
did not show any significant association between its genotypes<br />
and AD. Combining APOE*4 allele with all studied<br />
polymorphisms we detected a strong association for some<br />
genotypes. We have analyzed genes involved with relevant<br />
roles in neuronal homeostasis, such as oxidative stress,<br />
neuronal apoptosis and neuronal differentiation. We have<br />
confirmed the APOE*E4 allele and GAB2 rs2373115 ‘TT’<br />
genotype as important targets for development <strong>of</strong> Alzheimer’s<br />
disease. Our findings confirmed previous data that GAB2<br />
modifies late onset AD risk in APOE*E4 carriers and<br />
influences Alzheimer‘s neuropathology. Although any <strong>of</strong> the<br />
other genes analyzed has shown a direct association with AD<br />
when compared between patients and controls, it was possible<br />
to observe an association to AD in APOE*E4 carriers,<br />
suggesting a modifying effect <strong>of</strong> this allele. If those<br />
associations prove to be consistent in larger samples, the<br />
biological roles <strong>of</strong> these genes on AD will require further<br />
clarification.
COGNITION<br />
74 A GENOME-WIDE ASSOCIATION STUDY OF<br />
NON-PATHOLOGICAL COGNITIVE AGEING<br />
G. Davies* (1), K. McGhee (1) M. Luciano (1), A. Tenesa<br />
(2), A. Payton (3), X. Ke (3), S. Harris (1, 8), A. Gow (1), D.<br />
Liewald (1), L. Whalley (4), H. Fox (5), G. McNeill (6), W.<br />
Ollier (3), A. Pickles (7), D. Porteous (8), P. Visscher (9), J.<br />
Starr (10), M. Horan (11), N. Pendleton (11), I. Deary (1)<br />
1. University <strong>of</strong> Edinburgh Centre for Cognitive Ageing and<br />
Cognitive Epidemiology, Department <strong>of</strong> Psychology,<br />
University <strong>of</strong> Edinburgh, 7 George Square, Edinburgh, UK<br />
2. Colon Cancer Genetics Group, Institute <strong>of</strong> Genetics and<br />
Molecular Medicine, University <strong>of</strong> Edinburgh and MRC<br />
Human Genetics Unit, Edinburgh, UK 3. Centre for Integrated<br />
Genomic <strong>Medical</strong> Research, School <strong>of</strong> Translational<br />
Medicine, The University <strong>of</strong> Manchester, Manchester, UK<br />
4. University <strong>of</strong> Aberdeen Institute <strong>of</strong> Applied Health<br />
Sciences, Foresterhill, Aberdeen, UK 5. Scottish Dementia<br />
Research Network, Royal Victoria Hospital, Edinburgh, UK<br />
6. Environmental & Occupational Medicine, Liberty Safe<br />
Work Research Centre, Foresterhill Road, Aberdeen, UK<br />
7. Biostatistics Group, Community Based Medicine, SCAN<br />
Building Complex, The University <strong>of</strong> Manchester,<br />
Manchester, UK 8. <strong>Medical</strong> Genetics Section, University <strong>of</strong><br />
Edinburgh Molecular Medicine Centre and Institute <strong>of</strong><br />
Genetics and Molecular Medicine, Edinburgh, UK<br />
9. Genetic Epidemiology, Queensland Institute <strong>of</strong> <strong>Medical</strong><br />
Research, Brisbane, Australia 10. University <strong>of</strong> Edinburgh<br />
Centre for Cognitive Ageing and Cognitive Epidemiology,<br />
Geriatric Medicine, University <strong>of</strong> Edinburgh, Royal Victoria<br />
Hospital, Edinburgh, UK 11. Clinical Neurosciences, School<br />
<strong>of</strong> Translational Medicine, The University <strong>of</strong> Manchester,<br />
Hope Hospital, Salford, Greater Manchester, UK<br />
* Gail.Davies@ed.ac.uk<br />
Cognitive decline is the single most feared aspect <strong>of</strong> growing<br />
old. It is a major contributor to lower quality <strong>of</strong> life and loss <strong>of</strong><br />
independence. In the UK, it accounts for 40% <strong>of</strong> admissions to<br />
institutional care and is currently a major personal and social<br />
burden. Retaining cognitive functions must be a priority for<br />
older people. Cognition and age-related cognitive decline are<br />
determined by genetic and environmental factors. The<br />
heritability <strong>of</strong> intelligence changes across the lifespan: ~30%<br />
in early childhood to 70% in adulthood and may decline<br />
slightly over the age <strong>of</strong> 65. This indicates that there are genetic<br />
contributions to individual differences in normal cognitive<br />
ageing. We have taken a hypothesis-free approach and<br />
genotyped two <strong>of</strong> the largest longitudinal elderly cohorts in the<br />
world that have repeated cognitive test data: ~2,000 samples<br />
from the University <strong>of</strong> Edinburgh’s and University <strong>of</strong><br />
Aberdeen’s follow-up studies <strong>of</strong> the Scottish Mental Surveys<br />
(SMS) <strong>of</strong> 1932 and 1947, and ~2,000 DNA samples from the<br />
Dyne Steele DNA bank <strong>of</strong> University <strong>of</strong> Manchester Age and<br />
Cognitive Performance Research Centre volunteers (DSDb).<br />
The genetic contribution to cognitive ability traits, and to<br />
age-related change in general cognitive ability, processing<br />
speed, and memory will be studied in the SMS and DSDb<br />
cohorts using simple least squares and assuming an additive<br />
genetic model. The best supported 30 SNPs will be genotyped<br />
in an independent replication set comprising over 6,000<br />
samples. Preliminary analyses have shown possible regions <strong>of</strong><br />
interest. Further analyses are in progress and results will be<br />
presented.
75 DECREASE IN IMMEDIATE EARLY GENE<br />
EXPRESSION ONE MONTH AFTER<br />
ELECTROCONVULSIVE SEIZURES.<br />
J. Correia-Pinto (1, 2), J. Quevedo (2), S. Valvassori (3), G.<br />
Feier (3), T. Barichello (3), M. Athie (1), S. Ribeiro (4), W.<br />
Gattaz (1), E. Ojopi* (1)<br />
1. Laboratório de Neurociências (LIM-27), Hospital das<br />
Clínicas, Instituto de Psiquiatria, Faculdade de Medicina da<br />
Universidade de São Paulo, USP, São Paulo, SP, Brazil<br />
2. Laboratório Cesar Timo-Iaria, Instituto de Ensino e<br />
Pesquisa, Hospital Sírio Libanês, São Paulo, SP, Brazil.<br />
3. Laboratório de Neurociências e Instituto Nacional de<br />
Ciência e Tecnologia Translacional em Medicina, Programa<br />
de Pós-Graduação em Ciências da Saúde, Unidade Acadêmica<br />
de Ciências da Saúde, Universidade do Extremo Sul<br />
Catarinense, 88806-000 Criciúma, SC, Brazil. 4. Edmond and<br />
Lily Safra International Institute <strong>of</strong> Neuroscience <strong>of</strong> Natal<br />
(ELS-IINN), Natal, RN, Brazil. Federal University <strong>of</strong> Rio<br />
Grande do Norte (UFRN), Natal, RN, Brazil. Instituto<br />
Nacional de Ciência e Tecnologia em Interfaces<br />
Cérebro-Máquina (INCEMAQ).<br />
* elida@usp.br<br />
Electroconvulsive therapy (ECT) is a commonly used<br />
psychiatric treatment for severe depression management.<br />
Despite its clinical utility, post-ECT memory deficits are a<br />
common side effect. Neuronal plasticity and memory<br />
consolidation are intimately related to the expression <strong>of</strong><br />
immediate early genes (IEG) such as Egr1, Fos and Arc. IEG<br />
are rapidly induced in response to extracellular stimuli, and<br />
may thereby initiate an intracellular cascade that underlies<br />
long-term adaptations in neuronal gene expression following<br />
chronic and acute electroconvulsive seizures (ECS), an animal<br />
model <strong>of</strong> ECT. Here, we examined how acute or chronic ECS,<br />
alter expression <strong>of</strong> IEGs Egr1, Fos and Arc in hippocampus, a<br />
brain region implicated in the pathophysiology <strong>of</strong> depression<br />
in humans and in animal models <strong>of</strong> depression. Forty-two<br />
male Wistar rats, weighting 250–300 mg were submitted to<br />
bilateral ECS. Rats were submitted to a single stimulation<br />
(acute) or to a series <strong>of</strong> eight stimulations, applied one every<br />
48 hours (chronic). Tissue from hippocampus was collected<br />
immediately after and 2, 7, 30 and 90 days after the last<br />
seizure. Sham-ECS groups were handled as ECS groups but<br />
without shock delivery. Hippocampus from seven animals was<br />
pooled for each time point. Real-time PCR experiments were<br />
performed for Arc, Fos and Egr1, as target genes, and B2m<br />
and Rpl19, as endogenous controls. A fixed-effect ANOVA<br />
was used to account for treatment (acute and chronic) and<br />
temporal effects in gene expression. Then, a one way ANOVA<br />
followed by Tukey’s test as a post-hoc was used for group<br />
comparisons. A significant decrease in expression was<br />
observed for all tested genes comparing chronic versus acute<br />
ECS administration. This decrease was 1.3 fold for Arc<br />
(F1,2=15.895, p=0.001), 1.4 fold for Egr1 (F1,2=13.113,<br />
p=0.001) and 1.5 fold for Fos (F1,2=58.169, p
77 HOW SPECIFIC ARE MATHS QTLS?:<br />
BEHAVIOURAL GENOMIC ANALYSIS.<br />
Y. Kovas* (1), S. Doherty (2), R. Plomin (2)<br />
1. Goldsmiths College<br />
2. SGDP, Institute <strong>of</strong> Psychiatry, King's College London<br />
*y.kovas@gold.ac.uk<br />
Introduction: Quantitative genetic research has revealed a<br />
strong genetic basis to mathematical ability, and indicates that<br />
largely the same genes contribute to all facets <strong>of</strong> the<br />
mathematical domain and to other cognitive domains, which<br />
supports a ‘generalist genes’ hypothesis. Our recently<br />
conducted genome wide association scan identified first<br />
quantitative trait loci (QTLs) together explaining 3% in<br />
general mathematical ability (p = 7.277e-14). The association<br />
is linear across the distribution consistent with a quantitative<br />
trait locus (QTL) hypothesis; the third <strong>of</strong> children in our<br />
sample who harbor 10 or more <strong>of</strong> the 20 risk alleles are nearly<br />
twice as likely to be in the lowest performing 15% <strong>of</strong> the<br />
distribution. Our latest analyses, reported here, explore the<br />
associations between these QTLs and other phenotypes<br />
collected as part <strong>of</strong> Twins Early Development Study. Method:<br />
Using longitudinal multivariate data we examined whether the<br />
SNP-set which explains 3% <strong>of</strong> the variance in mathematical<br />
ability in our sample at 10 years <strong>of</strong> age is also associated with<br />
mathematical ability at other ages; and with spatial ability,<br />
reading, and g. The N ranged from 1500 to over 4000.<br />
Results: Although weaker than with mathematical ability at<br />
10, the correlations between the Mathematics SNP Set and<br />
reading, and spatial ability were highly significant.<br />
Conclusions: Our results are consistent with the Generalist<br />
Genes Hypothesis, in that the SNPs found for mathematical<br />
ability are also involved in mathematical disability, in all<br />
components <strong>of</strong> mathematics tested, and in other cognitive<br />
abilities. Some genetic specificity is also implied by these<br />
results.<br />
DEMENTIA<br />
78 ACE, MTHFR AND APO E GENE POLYMORPHISM<br />
IN NORTH INDIAN PATIENTS WITH ALZHEIMER’S<br />
DISEASE<br />
D. Tewari *(1), U. Mishra (1), J. Kalita (1)<br />
1. Sanjay Gandhi Post Graduate Institute <strong>of</strong> <strong>Medical</strong> Sciences,<br />
Lucknow-226014 (INDIA)<br />
*deepshikha_pgi@yahoo.co.in<br />
Background & purpose: Alzheimer disease (AD) is the most<br />
common form <strong>of</strong> dementia. In the current study we evaluated<br />
the distribution <strong>of</strong> ACE, MTHFR & APO E genotype in<br />
patients with dementia because <strong>of</strong> growing interest <strong>of</strong><br />
multifactorial etiology <strong>of</strong> the disease. Methods: The study<br />
group included 80 patients (63 men and 17 women, mean age<br />
78 ± 2.6 years) and 90 normal subjects who visited Neurology<br />
OPD, SGPGIMS, matched according to age and sex, and have<br />
been taken. The dementia status <strong>of</strong> these patients was assessed<br />
by clinical psychologist using the Clinical Dementia Rating<br />
(CDR) score. These patients were genotyped for vascular<br />
disease–associated polymorphisms in the genes coding for<br />
methylenetetrahydr<strong>of</strong>olate reductase (MTHFR),<br />
angiotensin-converting enzyme (ACE) and a common genetic<br />
risk factor for AD, apolipoprotein E e4 (APOE e4).<br />
Results: There was no significant association between ACE &<br />
MTHFR genotypes with AD and with control subjects.<br />
However T allele frequency <strong>of</strong> MTHFR gene is found double<br />
in dementia patients 12.5% (p>0.897) when compared with<br />
controls as 6.2%.There was a higher frequency <strong>of</strong> APOE e4<br />
alleles in patients with AD (18.2%, P>1.6) compared with<br />
control subjects (1.7%). Conclusions— AD is not associated<br />
with the genetic risk factors for vascular disease examined in<br />
this study.
ENDOPHENOTYPES<br />
79 GENOTYPE-CONTROLLED ANALYSIS OF<br />
PLASMA DOPAMINE beta-HYDROXYLASE IN<br />
CIVILIAN POST-TRAUMATIC STRESS DISORDER<br />
Y. Tang* (1), W. Li (1), K. Mercer (1), B. Bradley (2), C.<br />
Gillespie (1), R. Bonsall (1), K. Ressler (3), J. Cubells (1)<br />
1. Emory University School <strong>of</strong> Medicine 2. Dept. <strong>of</strong><br />
Psychiatry and Behavioral Sciences, Atlanta VA <strong>Medical</strong><br />
Center 3. Dept <strong>of</strong> Psychiatry, Emory University School <strong>of</strong><br />
Medicine; Yerkes National Primate Research Center; Howard<br />
Hugh <strong>Medical</strong> Institute<br />
*ytang5@emory.edu<br />
Background: Norepinephrine (NE) plays multiple roles in<br />
regulating arousal and autonomic stress responses and has<br />
been a central candidate in studying the pathophysiology <strong>of</strong><br />
post-traumatic stress disorder (PTSD). Dopamine<br />
β-hydroxylase (DβH) catalyzes the conversion <strong>of</strong> dopamine<br />
(DA) to norepinephrine (NE). Serum (or plasma) DβH activity<br />
is a highly heritable trait largely under the control <strong>of</strong> the DBH<br />
locus. Mustapic and colleagues (2007, Am. J. Med. Genet.<br />
Part B 144B: 1087) reported a PTSD-associated deficit in<br />
plasma DβH activity in a genotype-controlled analysis <strong>of</strong><br />
combat veterans. We tested whether such a deficit would<br />
occur in a predominantly African American sample <strong>of</strong><br />
civilians exposed to a high level <strong>of</strong> poverty-related stress and<br />
trauma. Methods: The primary outcome measure was severity<br />
<strong>of</strong> current adult PTSD symptoms, and current DSM-IV<br />
diagnosis <strong>of</strong> PTSD, as determined by the modified PTSD<br />
Symptom Scale (MPSS). Adulthood trauma exposure was<br />
assessed using the Traumatic Experience Inventory (TEI).<br />
Plasma DβH activity was measured by measuring conversion<br />
<strong>of</strong> tyramine to octopamine, isolating octopamine by HPLC,<br />
and detecting it by electrochemical detection. Genotypes were<br />
determined using the Taqman® platform. Results: Two<br />
hundred and thirty eight African American subjects were<br />
enrolled in this study. The mean age (± SD) was <strong>of</strong> 44±13<br />
years, with 57.8% being female. We found a strong<br />
association between rs1611115 genotype and plasma DβH<br />
activity in a co-dominant manner (p0.05) in any genotype group. There<br />
were no significant correlations found between DβH and<br />
PTSD severity and no differences <strong>of</strong> genotype frequency<br />
between PTSD cases and controls. The current results do not<br />
replicate the findings reported by Mustapic et al (2007) in a<br />
group <strong>of</strong> combat veterans with and without PTSD.<br />
Conclusions: We have replicated in an African American<br />
sample the prior finding that DBH rs1611115 genotype<br />
strongly associates with DβH activity in a co-dominant<br />
manner. There are no associations between DβH activity and<br />
PTSD diagnosis or symptom severity in this civilian sample.<br />
80 SENSORY GATING ENDOPHENOTYPE AND<br />
NEURONAL OSCILLATORY PATTERNS IN<br />
SCHIZOPHRENIA PATIENTS AND THEIR<br />
UNAFFECTED RELATIVES<br />
M. Hall* (1), A. Gibbs (1), G. Taylor (3), M. Coleman (2), V.<br />
Krause (2), O. Krastoshevsky (2), D. Salisbury (3), D. Levy<br />
(2)<br />
1. Psychology Research Laboratory & Cognitive Neuroscience<br />
Laboratory, McLean Hospital, Harvard <strong>Medical</strong> School<br />
2. Psychology Research Laboratory, McLean Hospital,<br />
Harvard <strong>Medical</strong> School 3. Cognitive Neuroscience<br />
Laboratory, McLean Hospital, Harvard <strong>Medical</strong> School<br />
*mhall@mclean.harvard.edu<br />
P50 sensory gating deficit is a leading endophenotype for<br />
schizophrenia (SZ). The auditory stimulus used to elicit P50<br />
event potentials induces a wide spectrum <strong>of</strong> oscillatory<br />
responses. Among them, beta-band oscillation (13-30 Hz)<br />
appears to contribute most to auditory P50 gating (Hong et al.,<br />
2008a) 1. However, gating <strong>of</strong> the beta oscillation was not<br />
impaired in patients with SZ or in their unaffected relatives<br />
(Hong et al., 2008b)2. The relationship between beta-band<br />
gating and P50 gating and the patterns <strong>of</strong> beta oscillation<br />
responses across brain regions remain to be determined.<br />
51 SZ patients, 25 unaffected first-degree relatives, and 34<br />
healthy comparison subjects were tested using a paired click<br />
paradigm. Evoked power <strong>of</strong> beta-band responses using time<br />
frequency analyses to S1 and S2 stimuli, gating <strong>of</strong> beta<br />
oscillatory responses (betaS2/betaS1), and gating <strong>of</strong> the P50<br />
wave were the main outcome measures. A P50 gating deficit<br />
was found in patients (p=.02). Relatives also showed<br />
moderately reduced suppression compared to controls<br />
(p=.087). Widespread reductions in beta-band responses to<br />
both S1 and S2 stimuli and impairment in gating <strong>of</strong> beta-band<br />
oscillation were found in patients compared with control<br />
subjects. Relatives did not differ significantly from control<br />
subjects. Correlation between the two gating measures was<br />
low (r =0-0.18).These results suggest that deficits in beta<br />
oscillatory responses are not endophenotypes for SZ. Rather,<br />
these deficits are associated with illness-related factors<br />
including age-<strong>of</strong>-onset, medication and BPRS scores. The<br />
underlying information processing assessed by the two gating<br />
measures appears to be independent.
81 A GENOME-WIDE LINKAGE STUDY OF<br />
COGNITIVE ENDOPHENOTYPES FOR<br />
SCHIZOPHRENIA HIGHLIGHTS THE<br />
NEUROTROPHIN RECEPTOR GENE (NTRK3) AS A<br />
SUSCEPTIBILITY LOCUS<br />
M. Aukes* (1), B. Alizadeh (2), C. Kemner (1), R. van 't Slot<br />
(1), E. Strengman (1), M. Sitskoorn (3), R. Sinke (2), R. Kahn<br />
(1), R. Oph<strong>of</strong>f (1)<br />
1. University <strong>Medical</strong> Center Utrecht 2. University <strong>Medical</strong><br />
Center Groningen 3. Tilburg University<br />
*m.aukes@umcutrecht.nl<br />
Integration <strong>of</strong> multiple lines <strong>of</strong> evidence is warranted in<br />
complex genetics. Our aim was to find new candidate loci that<br />
contain genes affecting candidate endophenotypes and<br />
potentially schizophrenia. We performed a genome-wide<br />
linkage scan <strong>of</strong> six schizophrenia endophenotypes with<br />
moderate heritability: sensorimotor gating, openness, verbal<br />
fluency, early visual perception, spatial working memory, and<br />
intelligence. Seven extended multiply affected Dutch<br />
pedigrees (n=118, 649 relative pairs) were genotyped for<br />
6,090 single nucleotide polymorphism markers. Two-point<br />
and multipoint variance-component based linkage analyses<br />
were performed using MERLIN. No genome-wide significant<br />
findings were observed. However, linkage peaks with<br />
suggestive evidence were located at 8q24 for early visual<br />
perception (LOD= 1.8), 17p13 and 16q21-22 for openness<br />
(LOD= 1.7 and 1.5). Suggestive two-point hits (empirical<br />
p-value
83 THE EFFECT OF COMT, BDNF AND NRG1 ON<br />
THE P50 ENDOPHENOTYPE IN PSYCHOSIS<br />
M. Shaikh*(1), M. Hua Hall (2), K. Schulze (1), A. Dutt (1),<br />
I. Williams (1), M. Constante (1), M. Walshe (1), M. Picchioni<br />
(1), T. Toulopoulou (1), D. Collier (1), F. Rijsdijk (1), J.<br />
Powell (1), M. Arranz (1), R. Murray (1), E. Bramon (1)<br />
1. The Biomedical Research Centre for Mental Health at the<br />
Institute <strong>of</strong> Psychiatry, Kings College London and The South<br />
London and Maudsley NHS Foundation Trust 2. Harvard<br />
<strong>Medical</strong> School, Psychology Research Laboratory, McLean<br />
Hospital, Belmont<br />
*madiha.shaikh@kcl.ac.uk<br />
Introduction: P50 gating deficits correlate with genetic risk for<br />
schizophrenia and constitute a plausible endophenotype for the<br />
disease. The well-supported role <strong>of</strong> COMT, BDNF and NRG1<br />
in neurodevelopment and cognition makes a strong theoretical<br />
case for the influence <strong>of</strong> these genes on P50 endophenotypes.<br />
Methods: The possible role <strong>of</strong> NRG1, COMT Val158Met and<br />
BDNF Val66Met gene polymorphisms on the P50<br />
endophenotype was examined in a large sample consisting <strong>of</strong><br />
psychotic patients, their unaffected relatives and unrelated<br />
healthy controls using linear regression analyses.<br />
Results: No evidence for association between NRG1, COMT<br />
Val158Met or BDNF Val66Met genotype and P50<br />
endophenotype was found. Discussion: The available<br />
neurophysiological evidence suggests that any such<br />
association between P50 indices and NRG1, COMT<br />
Val158Met or BDNF Val66Met genotypes, if present, must be<br />
very subtle.<br />
84 GENETIC AND NEUROCHEMICAL MODULATION<br />
OF BEHAVIOURAL AND NEURAL MEASURES OF<br />
RESPONSE INHIBITION<br />
M. Bellgrove* (1), T. Cummins (1), S. Nandam (1), P. Nathan<br />
(2), J. Wagner (1), J. Mattingley (1), R. Hester (3), C.<br />
Chambers (4)<br />
1. University <strong>of</strong> Queensland 2. University <strong>of</strong> Cambridge &<br />
GlaxoSmithKline. 3. University <strong>of</strong> Melbourne<br />
4. Cardiff University<br />
*m.bellgrove@uq.edu.au<br />
The ability to inhibit behavior is a key aspect <strong>of</strong> executive<br />
function that allows humans to behave flexibly. Twin studies<br />
have shown that behavioral measures <strong>of</strong> inhibitory control,<br />
such as stop-signal reaction time (SSRT), are highly heritable,<br />
and inhibitory dysfunction has been touted as a candidate<br />
endophenotype for ADHD and OCD. The neurochemical<br />
substrates <strong>of</strong> inhibitory control in the human brain remain<br />
unresolved with evidence supporting modulation by<br />
dopamine, noradrenaline and sertonin. We surveyed the<br />
association between a theoretically motivated set <strong>of</strong><br />
catecholamine genes, including DAT1, DRD4, DBH, COMT,<br />
DRD2 and NET, and SSRT (SSRT) in a sample <strong>of</strong> 250<br />
non-clinical adults. Associations were found between markers<br />
on DRD4, DBH and DRD2 that accounted for significant<br />
variance in SSRT, after controlling for age and gender. The<br />
influence <strong>of</strong> these genetic markers was further investigated in<br />
a targeted fMRI study <strong>of</strong> inhibitory control in a subset <strong>of</strong> the<br />
larger cohort (n=50). A further double-blind, placebo<br />
controlled, cross-over study <strong>of</strong> the influence <strong>of</strong> an acute<br />
challenge <strong>of</strong> methylphenidate (30mg), atomoxetine (60mg)<br />
and citalopram (30mg) on SSRT in non-clinical subjects<br />
(n=24) was also conducted. A significant effect <strong>of</strong> drug<br />
condition was found with inhibitory ability significantly<br />
improved under methylphenidate, compared with all other<br />
conditions. Our genetic, brain imaging and neurochemical data<br />
suggest a prominent role for catecholamine, particularly<br />
dopamine, modulation <strong>of</strong> inhibitory control but little evidence<br />
for modulation by sertonin.
85 CORTICAL THICKNESS IN SCHIZOPHRENIA<br />
AND BIPOLAR DISEASE: A TWIN MRI STUDY OF<br />
DISEASE-SPECIFIC AND COMORBID<br />
ENDOPHENOTYPES<br />
G. Van Baal* (1), H. Hulsh<strong>of</strong>f Pol (1), H. Schnack (1), R.<br />
Brouwer (1), R. Kahn (1)<br />
1. UMC Utrecht<br />
*G.C.M.vanBaal@umcutrecht.nl<br />
In the last few years, the nosological dichotomy between<br />
schizophrenia and bipolar disease has repeatedly been<br />
challenged by genetic findings. Lichtenstein et al. (The<br />
Lancet, 2009) found substantive heritabilities for both diseases<br />
(64% and 59% respectively), which were mostly due to<br />
comorbid genetic factors (52% <strong>of</strong> total genetic variance in<br />
schizophrenia, 69% in bipolar disease) and only<br />
partly disease-specific. This strongly encourages research <strong>of</strong><br />
endophenotypic traits that shed light on the disrupted<br />
mechanisms responsible for both diseases. Data on cortical<br />
thickness measured on a 1.5 Tesla MRI scanner are<br />
presented, which were collected in a large twin sample <strong>of</strong><br />
discordant schizophrenic (MZ/DZ: 12/12), concordant and<br />
discordant bipolar (22/25) and healthy control twin pairs<br />
(45/39), adding up to a total <strong>of</strong> 330 participants. Large parts <strong>of</strong><br />
the cortex were affected differently in schizophrenic<br />
vs. bipolar patients: schizophrenia patients showed thicker<br />
right inferior temporal and sensory-motor cortices than<br />
controls which was accounted for by genetic factors, bipolar<br />
patients showed a thinner right inferior frontal cortex than<br />
controls, which seemed to be due to unique environmental<br />
influences. Other areas were affected in a similar fasion in<br />
both diseases: both types <strong>of</strong> patients displayed decreased<br />
thickness <strong>of</strong> parahippocampal gyri, and increased thickness <strong>of</strong><br />
left temporoparietal cortex (wernicke's area). In general, these<br />
latter associations were caused by genetic factors. Combined<br />
with a (moderate) heritability, cortical thickness in these<br />
areas may be a promising endophenotype for the genetic<br />
mechanisms <strong>of</strong> comorbidity <strong>of</strong> these psychosis-related<br />
diseases.<br />
86 EFFECT OF CACNA1C RS1006737 ON NEURAL<br />
CORRELATES OF VERBAL FLUENCY IN HEALTHY<br />
INDIVIDUALS<br />
V. Nieratschker* (1), A. Krug (2), V. Markov (3), S. Kracht<br />
(2), A. Jansen (2), K. Zerres (4), T. Eggermann (4), T. Stöcker<br />
(5), N. Shah (5), J. Treutlein (6), T. Mühleisen (7), T. Kircher<br />
(2), M. Rietschel (1)<br />
1. Division <strong>of</strong> Genetic Epidemiology in Psychiatry, Central<br />
Institute <strong>of</strong> Mental Health, J 5, 68159 Mannheim, Germany<br />
2. Department <strong>of</strong> Psychiatry and Psychotherapy,<br />
Philipps-University Marburg, Rudolf-Bultmann-Str.<br />
8, 35039 Marburg, Germany 3. Department <strong>of</strong> Psychiatry and<br />
Psychotherapy, RWTH Aachen University, Pauwelsstr. 30,<br />
52074 Aachen, Germany 4. Institute <strong>of</strong> Human Genetics,<br />
RWTH Aachen University, Pauwelsstr. 30, 52074 Aachen,<br />
Germany 5. Institute <strong>of</strong> Neuroscience and Biophysics 3 –<br />
Medicine, Research Center Jülich, Germany 6. Division <strong>of</strong><br />
Genetic Epidemiology in Psychiatry, Central Institute <strong>of</strong><br />
Mental Health, J 5, 68159 Mannheim, Germany 7. Department<br />
<strong>of</strong> Genomics, Life & Brain Center, University <strong>of</strong> Bonn,<br />
Sigmund-Freud-Strasse 25, 53127 Bonn, Germany<br />
*vanessa.nieratschker@zi-mannheim.de<br />
Background: Recent genome-wide association studies<br />
implicated the alpha 1C subunit <strong>of</strong> the L-type voltage-gated<br />
calcium channel (CACNA1C) gene as a susceptibility locus<br />
for bipolar disorder, schizophrenia and major depression<br />
(Sklar et al., 2008; Ferreira et al., 2009; Green et al., 2009).<br />
While the functions underlying the pathophysiology <strong>of</strong> these<br />
psychiatric disorders are yet unknown, impaired performance<br />
in verbal fluency tasks is an <strong>of</strong>ten replicated finding. We<br />
investigated the influence <strong>of</strong> the CACNA1C single nucleotide<br />
polymorphism (SNP) rs1006737 on verbal fluency and its<br />
neural correlates. Methods: Brain activation was measured<br />
with functional magnetic resonance imaging (fMRI) during a<br />
semantic verbal fluency task in 63 healthy male individuals.<br />
They additionally performed more demanding verbal fluency<br />
tasks outside the scanner. All subjects were genotyped for<br />
CACNA1C rs1006737. Results: For the behavioral measures<br />
outside the scanner, rs1006737genotype had an effect on<br />
semantic but not on lexical verbal fluency with decreased<br />
performance in risk-allele carriers. In the fMRI experiment,<br />
while there were no differences in behavioural performance,<br />
increased activation in the left inferior frontal gyrus as well as<br />
the left precuneus was found in risk-allele carriers in the<br />
semantic verbal fluency task. Conclusions: The rs1006737<br />
variant does influence language production on a semantic<br />
level in conjunction with the underlying neural systems. These<br />
findings are in line with results <strong>of</strong> studies in bipolar disorder,<br />
schizophrenia and major depression and may explain some <strong>of</strong><br />
the cognitive and brain activation variation found in these<br />
disorders.
87 SYSTEMATIC MUTATION SCREENING STUDY<br />
FOR PPP3CC IN SCHIZOPHRENIA<br />
H. Hwu* (1), C. Liu (1), U. Yang (2), P. Hsu (2), C. Fann (3),<br />
Y. Liu (4), C. Wen (1), C. Chang (3)<br />
1. Department <strong>of</strong> Psychiatry, National Taiwan University<br />
Hospital, Taipei, Taiwan 2. Institute <strong>of</strong> Bioinformatics,<br />
National YangMing University, Taipei, Taiwan 3. Institute <strong>of</strong><br />
Biomedical Science, Academia Sinica, Taipei, Taiwan 4.<br />
Division <strong>of</strong> Mental Health and Substance Abuse Research,<br />
National Health Research Institutes, Taipei, Taiwan<br />
* haigohwu@ntu.edu.tw<br />
Protein phosphatase 3 (formerly 2B), catalytic subunit, gamma<br />
is<strong>of</strong>orm (PPP3CC) has been reported associated with<br />
schizophrenia in literature and our previous association tudies.<br />
The aim <strong>of</strong> the study is to search the risk polymorphisms <strong>of</strong><br />
the gene for schizophrenia using systematic mutation<br />
screening method. We have sequenced the exons and promoter<br />
regions <strong>of</strong> PPP3CC. The samples for direct sequencing are 78<br />
schizophrenic patients and 50 normal controls. We have<br />
identified 22 genetic variations, <strong>of</strong> which 11 SNPs were<br />
genotyped for further analysis. In a preliminary study <strong>of</strong> small<br />
sample association study, which included 170 schizophrenic<br />
patients and 144 controls, we found one SNP in the 5’-UTR<br />
and two SNPs in the 3’-UTR region were significantly<br />
associated with schizophrenia either through genotype-wise or<br />
allele-wise analysis. The genotyping work in a large<br />
case-control sample, including 600 normal controls and 912<br />
schizophrenic patients, is ongoing.<br />
88 APPLICATION OF MULTIVARIATE GENETIC<br />
ANALYSIS TO FUNCTIONAL BRAIN IMAGING<br />
A. Scott *(1), K. McNealy (2), M. Dapretto (2), N. Schork (1)<br />
1. Scripps Translational Science Institute 2. University <strong>of</strong><br />
California, Los Angeles<br />
*ashleys@scripps.edu<br />
The technologic advances in neuroscience and genetics over<br />
the past decade have dramatically changed the methodological<br />
issues facing neurogenetic researchers. The advent <strong>of</strong><br />
high-through put genotyping assays, fine resolution brain<br />
imaging, and in-depth neuropsychological scales have allowed<br />
researchers to acquire massive amounts <strong>of</strong> data per subject.<br />
The aim <strong>of</strong> this study was to translate existing multivariate<br />
genetic analysis methods to brain imaging data as a first step<br />
towards an integrated multivariate imaging genetics approach.<br />
Using methods borrowed from analysis <strong>of</strong> high-dimensional<br />
gene expression data, we analyzed functional magnetic<br />
resonance imaging (fMRI) scans from 18 boys with autism<br />
spectrum disorders (ASD) and 18 age- and IQ-matched<br />
typically developing (TD) boys. Children were scanned while<br />
listening to a well-validated implicit language learning<br />
paradigm (McNealy et al., 2006; McNealy et al. 2009). For<br />
each subject, the mean timeseries from 106 regions-<strong>of</strong>-interest<br />
(ROI) over the cerebral volume were extracted. Multivariate<br />
distance matrix regression (MDMR; Wessel and Schork,<br />
2006; Schork et al. 2008) identified a number <strong>of</strong> ROIs<br />
significantly associated with autism diagnosis. Further<br />
examination <strong>of</strong> these ROIs revealed a subset <strong>of</strong> regions in<br />
which TD children showed more similar activation pr<strong>of</strong>iles<br />
than children with ASD, particularly in language-relevant<br />
areas. These findings are consistent with aberrant language<br />
processing in children with ASD, and demonstrate the<br />
capability <strong>of</strong> MDMR to identify shared brain activation<br />
patterns across individuals. This method can be extended to<br />
detect shared brain activation patterns among individuals with<br />
similar genetic pr<strong>of</strong>iles, providing a foundation for integration<br />
<strong>of</strong> functional brain imaging data and high-dimensional genetic<br />
data.
89 STRATEGIES FOR PURSUING INTERMEDIATE<br />
PHENOTYPES FOR BIPOLAR DISORDER: THE<br />
HEINZ C. PRECHTER LONGITUDINAL PROJECT<br />
S. Langenecker *(1), M. Kamail (1), L. Franti (1), A. Prossin<br />
(1), E. Saunders (1), A. Vederman (1), M. McInnis (1)<br />
1. University <strong>of</strong> Michigan <strong>Medical</strong> School<br />
*slange@med.umich.edu<br />
Introduction: Intermediate cognitive and personality<br />
phenotypes in Bipolar Disorder have been pursued with<br />
somewhat limited success to date. In part, this is due to the<br />
fact that state changes during the course <strong>of</strong> bipolar illness as<br />
well as high comorbidity with other psychiatric disorders and<br />
subtypes (alcohol and substance abuse, anxiety, psychosis,<br />
attention deficit disorder). Extensive clinical, environmental,<br />
personality and neuropsychological data are gathered from all<br />
participants, including regular follow-up evaluations to<br />
address the possibility <strong>of</strong> identifying reliable intermediate<br />
phenotypes. Methods: Diagnosis is conducted via structured<br />
Diagnostc interview for Genetic Studies, followed by<br />
Best-Estimate diagnosis in a preliminary cross-sectional<br />
analysis <strong>of</strong> healthy control subjects (HC, n = 75) and euthymic<br />
(E), depressed (D), or hypomanic/mixed (HM) patients with<br />
bipolar disorder (BD, n = 270). We identified intermediate<br />
cognitive phenotypes (ICPs) and intermediate personality<br />
phenotypes (IPP) from assessments in executive functioning,<br />
attention, memory, fine motor function, emotion processing<br />
and personality. Results: Of the eight cognitive factor scores,<br />
the HC group outperformed the E group in three (Processing<br />
Speed with Interference Resolution, Visual Memory, Fine<br />
Motor Dexterity). Conscientiousness from the NEO-PI was<br />
lower in the D and E groups compared to the HC group. The<br />
E group was higher than the HC group in Neuroticism from<br />
the NEO-PI. Conclusions: Use <strong>of</strong> the factor scores from<br />
cognitive and personality measures can assist in determining<br />
ICPs and IPPs for BD and related disorders, and may provide<br />
more specific targets for development <strong>of</strong> new analytic<br />
approaches and treatments.<br />
90 ASSOCIATION OF EVENT-RELATED<br />
OSCILLATIONS AND GLUTAMATE SYSTEM<br />
CANDIDATE GENES<br />
M. Rangaswamy* (1), N. Manz (1), T. Foroud (2), H.<br />
Edenberg (2), B. Porjesz (1), COGA<br />
1. SUNY Downstate <strong>Medical</strong> Center, Brooklyn, NY 2. Indiana<br />
University, Indianapolis, IN<br />
* madhavi.rangaswamy@downstate.edu<br />
Brain oscillations provide sensitive measures <strong>of</strong> brain function<br />
with exquisite temporal resolution during cognitive tasks.<br />
These quantitative neurophysiological endophenotypes <strong>of</strong>fer a<br />
powerful tool to study genetics <strong>of</strong> complex psychiatric<br />
disorders. Event related brain oscillations (EROs) - delta (1-3<br />
Hz) and theta (4-7 Hz) - were recorded during a visual oddball<br />
task from 1312 individuals from 251 multiplex alcoholic<br />
families in the Collaborative Study on the Genetics <strong>of</strong><br />
Alcoholism (COGA) sample. Significant linkage (LOD =<br />
3.97) and linkage disequilibrium on chromosome 4 at 139 cM<br />
was detected. Association analysis with a glutamatergic gene<br />
(GRID2) under this linkage peak revealed strong association<br />
with a large number <strong>of</strong> single nucleotide polymorphisms<br />
(SNPs). The human glutamate receptor gene GRID2 on<br />
chromosome 4, is a member <strong>of</strong> the glutamate receptor family<br />
which are the predominant excitatory neurotransmitter<br />
receptors in the central nervous system. In a genome-wide<br />
association study (GWAS) based on the Illumina 1 million<br />
SNP array, we analyzed EROs in response to the target<br />
stimulus with the same paradigm in 1064 genetically unrelated<br />
case-control subjects from the COGA study. SNP in several<br />
glutamatergic genomic regions were found to be significantly<br />
associated using a linear regression model for a case-control<br />
study. These findings from both the family based and<br />
case-control studies highlight the involvement <strong>of</strong> the<br />
glutamatergic pathways associated with cognitive dysfunction<br />
underlying alcoholism.
91 AN ASSOCIATION BETWEEN PREPULSE<br />
INHIBITION AND DRD2 GENE IN A SAMPLE OF<br />
HEALTHY ISRAELIS<br />
M. Monakhov* (1), R. Levin (2), S. Israel (2), U.<br />
Heresco-Levy (2), R. Bachner-Melman (3), R. Ebstein (2)<br />
1. Engelhardt Institute <strong>of</strong> Molecular Biology, Russian<br />
Academy <strong>of</strong> Sciences, Moscow, Russia 2. Herzog Memorial<br />
Hospital, Jerusalem, Israel 3. Psychiatry Department,<br />
Hadassah <strong>Medical</strong> School, Hebrew University , Jerusalem,<br />
Israel<br />
* misha.monahov@gmail.com<br />
Introduction: Prepulse inhibition (PPI) is well-established<br />
measure <strong>of</strong> sensorimotor gating, that has been associated<br />
with a number <strong>of</strong> phenotypes including social behavior and<br />
schizophrenia. It reflects the brain’s ability to filter incoming<br />
information <strong>of</strong> different sensory modalities and so might<br />
indirectly affect social decision making. Some studies report<br />
that D2 dopamine receptor agonists may decrease PPI in<br />
rodents and humans. We performed an association study <strong>of</strong><br />
PPI and four SNPs from human DRD2gene. Methods<br />
Prepulse inhibition <strong>of</strong> the startle response to auditory stimuli<br />
was measured in 38 healthy volunteers (20 males, 18 females;<br />
mean age 26±3.7 years) recruited in Jerusalem, Israel.<br />
Prepulse-pulse intervals <strong>of</strong> 30, 60 or 120 ms (PPI30, PPI60<br />
and PPI120 values, respectively) were used. DNA was<br />
isolated from blood samples <strong>of</strong> all participants and their<br />
parents, and genotyping <strong>of</strong> four DRD2 SNPs (rs1800498,<br />
rs1801028, rs6277, rs1800497) was performed with<br />
5'-nuclease assay or high resolution melt assay. Data<br />
Were analyzed with ANOVA and transmission disequilibrium<br />
test. Results and discussion:ANOVA <strong>of</strong> PPI among 38<br />
volunteers revealed an association between rs6277 SNP and<br />
60 ms interval PPI (F=5.4 p=0.009), where CC-homozygotes<br />
demonstrated less inhibition (mean±S.D. is 24.8±10.3) than<br />
T-allele carriers (54.4±3.9; for comparison <strong>of</strong> T+ vs. T-<br />
groups F=10.51, p=0.003). CC homozygotes also had visibly<br />
lower PPI with 30 and 120 ms interval, but differences did not<br />
reach statistical significance. Haplotype T-C-T-C was<br />
associated with higher 30 ms interval PPI<br />
(family-based UNPHASED analysis chisq=4.92, p=0.027). A<br />
trends in same direction, but not significant associations were<br />
observed for 60 and 120 ms interval tests. Results indicate a<br />
possible role <strong>of</strong> DRD2 in sensorimotor gating.
EPIGENETICS<br />
93 COMBINING EVIDENCE FOR MATERNAL AND<br />
IMPRINTING EFFECTS FROM MULTIPLE STUDIES<br />
B. Glaser* (1), G. Davey-Smith (1), A. Ades (2)<br />
1. <strong>Medical</strong> Research Council Centre for Causal Analysis in<br />
Translational Epidemiology and Department <strong>of</strong> Social<br />
Medicine, University <strong>of</strong> Bristol 2. Department <strong>of</strong> Community<br />
Based Medicine, University <strong>of</strong> Bristol<br />
* B.Glaser@bris.ac.uk<br />
The detection <strong>of</strong> small-scale genetic effects such as those<br />
exerted by maternal genotype or imprinting is <strong>of</strong>ten hampered<br />
by lack <strong>of</strong> sufficient study power. Joint analysis and<br />
meta-analysis can enhance power through increase in sample<br />
size and has been successfully applied to combine evidence<br />
for allelic and genotypic association. However methods to<br />
combine studies <strong>of</strong> parental influences such as those<br />
detectable in parent-<strong>of</strong>fspring trios are sparse. We developed a<br />
simple Bayesian approach to derive combined estimates for<br />
maternal and/or imprinting effects from multiple parent-child<br />
trio samples and mother-child pairs. For this, we extended the<br />
single-sample Poisson model for categorical outcomes<br />
(Weinberg et al., 1999) into a multinomial framework. Our<br />
approach accounts for sample heterogeneity through random<br />
effects, allows the combination <strong>of</strong> different sample designs<br />
and enhances the precision <strong>of</strong> effects estimates by including<br />
prior information. Using simulations, we studied the proposed<br />
method under different scenarios including varying minor<br />
allele frequencies, and genetic effect sizes for both maternal<br />
and imprinting effects. We will report results comparing fixed<br />
effect and random effects models using simulated and real<br />
data.<br />
94 COMPREHENSIVE DNA METHYLATION<br />
ANALYSIS IN THE HUMAN BRAIN AND ITS<br />
APPLICATION TO PSYCHIATRIC DISEASES<br />
K. Iwamoto* (1), M. Bundo (1), J. Ueda (1), Y. Nakano (1),<br />
M. Oldham (2), W. Ukai (3), E. Hashimoto (3), T. Saito (3),<br />
D. Geschwind (2), T. Kato (1)<br />
1. RIKEN Brain Science Institute 2. University <strong>of</strong> California<br />
Los Angeles 3. Sapporo <strong>Medical</strong> University<br />
* kaziwamoto@brain.riken.jp<br />
Altered DNA methylation status in the brain is proposed to be<br />
involved in the pathogenesis <strong>of</strong> psychiatric diseases. Although<br />
several studies reported altered DNA methylation in the brains<br />
<strong>of</strong> patients, few considered the effect <strong>of</strong> cellular heterogeneity<br />
in the brain. We employed the cell-sorter based method for<br />
separation <strong>of</strong> neuronal and non-neuronal nuclei from<br />
postmortem brain, and have performed comprehensive DNA<br />
methylation analyses using various qualitative and quantitative<br />
techniques including global methylation assay targeting whole<br />
genome and LINE-1 sequences, bead-based array, promoter<br />
tiling arrays as well as extensive bisulfite sequencing analyses.<br />
We found that while non-neuronal nuclei showed similar<br />
DNA methylation pattern to bulk cortex, neuronal nuclei<br />
manifested qualitatively and quantitatively distinctive DNA<br />
methylation patterns. Through the bioinformatic analysis, we<br />
found that genes related to neuronal activity were methylated<br />
in non-neuronal nuclei, while genes expressed in astrocytes<br />
were methylated in neuronal nuclei. Such DNA methylation<br />
differences may contribute to the phenotypic differences<br />
between neurons and non-neurons. We are performing a<br />
large-scale case-control study using these techniques.
95 MAPPING GENE REGULATORY ELEMENTS FOR<br />
BRAIN EXPRESSED GENES USING<br />
HIP-SEQUENCING<br />
C. Barr* (1), Y. Feng (1), R. Bremner (1)<br />
1. The Toronto Western Research Institute<br />
* cbarr@uhnres.utoronto.ca<br />
Current evidence indicates that psychiatric disorders are more<br />
likely to result from genetic variation that changes gene<br />
expression rather than variations in the coding region.<br />
However, the role <strong>of</strong> variation in gene regulation as a<br />
contributor to psychiatric disorders has been largely ignored<br />
because <strong>of</strong> the difficulty in identifying the location <strong>of</strong> gene<br />
regulatory elements outside <strong>of</strong> the proximal promoter. We<br />
used a genome-wide approach to identify brain-relevant gene<br />
regulatory elements, in two cell lines, a neuroblastoma and a<br />
glioblastoma. We used chromatin immunoprecipitation<br />
(ChIP) to modified histones and transcription factors<br />
combined with high throughput sequencing (ChIP-sequencing)<br />
to identify the position <strong>of</strong> brain-relevant regulatory elements<br />
across the genome. To maximize the identification <strong>of</strong><br />
regulatory elements, we performed ChIP using antibodies to<br />
acetylated histone H3, (a marker <strong>of</strong> active chromatin), the<br />
enhancer-associated protein p300 (a marker <strong>of</strong> enhancers), and<br />
RNA polymerase II (a marker <strong>of</strong> regions <strong>of</strong> active<br />
transcription). This approach was very successful, and we<br />
now have genomic maps <strong>of</strong> putative regulatory elements for<br />
genes expressed in these cell lines including genes associated<br />
with psychiatric disorders (e.g. DTNBP1, SNAP25). We also<br />
mapped putative gene regulatory elements in gene “deserts”<br />
in the region <strong>of</strong> positive markers from the GWAS studies. We<br />
are currently screening the putative regulatory regions in<br />
associated genes for genetic variation and testing the<br />
relationship to the respective psychiatric disorder in DNA<br />
from families. We are following on the success <strong>of</strong> this<br />
approach by identifying regulatory regions in brain tissue,<br />
particularly the DLPFC and the hippocampus.<br />
97 HYPOMETHYLATION OF HTR2A PROMOTER AT<br />
T102C POLYMORPHIC SITE IN DNA DERIVED<br />
FROM THE SALIVA OF PATIENTS WITH<br />
SCHIZOPHRENIA AND BIPOLAR DISORDER<br />
M. Ghadiri* (1), S. Nohesara (1), H. Ahmankhaniha (1), E.<br />
Shirazi (1)<br />
1. Iran University <strong>of</strong> <strong>Medical</strong> Sciences<br />
* ghadiri_mohamad@yahoo.com<br />
Introduction: Contribution <strong>of</strong> the 5HT2A gene in the<br />
pathogenesis <strong>of</strong> schizophrenia (SCZ) and bipolar disorder<br />
(BD) has been the focus <strong>of</strong> many studies, because LSD which<br />
resembles serotonin causes psychosis and atypical<br />
antipsychotic drugs elicit their effects by blocking the<br />
5HT2A receptors. There has been evidence for the role <strong>of</strong><br />
5HT2A polymorphism(s) in SCZ and BD pathogenesis.<br />
Furthermore, DNA methylation <strong>of</strong> HTR2A promoter DNA at<br />
T102C polymorphic site was correlated with the HTR2A<br />
expression level in the human brain. Also, DNA<br />
hypomethylation <strong>of</strong> this site was reported in the post-mortem<br />
brain <strong>of</strong> patients with SCZ and BD. Hypothesizing that<br />
epigenetic dysregulation <strong>of</strong> 5HT2A in peripheral tissues may<br />
be used as a diagnostic/therapeutic marker we analyzed<br />
HTR2A promoter DNA methylation status <strong>of</strong> DNA derived<br />
from the saliva <strong>of</strong> patients with SCZ and BD vs. normal<br />
controls (each 16). Method:Bisulfite sequencing was used to<br />
screen the CpG methylation status <strong>of</strong> the 5HT2A entire<br />
promoter region. qMSP was used to quantify the degree <strong>of</strong><br />
cytosine methylation at differentially methylated sites in<br />
individuals carrying the C allele <strong>of</strong> the HTR2a t102c<br />
polymorphism. Results: Based on bisulfite sequencing,<br />
HTR2A promoter DNA was generally unmethylated in the<br />
DNA derived from the saliva however cytosine at T102C<br />
polymorphic site and neighboring cytosines were partially<br />
methylated both in the patient and controls. qMSP analysis<br />
revealed that this cytosine was significantly hypomethylated<br />
in SCZ and BD versus the control subjects. Conclusion:<br />
Cytosine methylation <strong>of</strong> HTR2A at T102C polymorphic site in<br />
DNA derived from the saliva could be used as a diagnostic,<br />
prognostic and/or therapeutic marker in SCZ and BD.
98 GENOME-WIDE METHYLATION ANALYSIS OF<br />
POSTMORTEM BRAINS SUGGESTS<br />
HYPOMETHYLATION IS ASSOCIATED WITH<br />
MAJOR DEPRESSION<br />
L. Cheng* (1), D. Zhang (1), C. Chen (1), J. Badner (1), W.<br />
Luo (1)<br />
1. Department <strong>of</strong> Psychiatry and Behavioral Neuroscience,<br />
The University <strong>of</strong> Chicago<br />
* lcheng2@bsd.uchicago.edu<br />
DNA methylation plays an important role in neuronal<br />
development and differentiation, with potential implications<br />
for neuropsychiatric disease susceptibilities. We performed a<br />
genome-wide methylation study using Illumina Infinium<br />
HumanMethylation27 BeadChip with 27,578 DNA CpG<br />
methylation loci on 153 cerebellum brain DNA samples from<br />
individuals <strong>of</strong> European ancestry. These samples are from two<br />
collections <strong>of</strong> the Stanley <strong>Medical</strong> Research institute and<br />
include 45 Schizophrenia (SZ), 46 Bipolar Disorder (BD), 15<br />
Major Depression (MD) and 47 unaffected control samples.<br />
After removing covariate and batch effects and after<br />
quantile normalization, an ANOVA test was used to detect<br />
differential methylation comparing cases and controls in the<br />
top half CpG loci with high methylation variation. No CpG<br />
locus in SZ, MD and BD show significant difference<br />
compared to controls with FDR q < 0.05. There were<br />
796, 1000 and 706 loci that showed nominally significant<br />
methylation differences with P ≤ 0.05 in SZ, MD and BD<br />
compared to controls, respectively. 33 loci showing<br />
nominally significant methylation changes were shared across<br />
all three diseases. Significantly more hypomethylated<br />
loci in differentially methylated sites were detected in MD (P<br />
GENE X ENVIRONMENT INTERACTIONS<br />
100 GENE-ENVIRONMENT INTERACTION OF THE<br />
LEPTIN RECEPTOR (LEPR) GENE AND TRAUMATIC<br />
LIFE EVENTS MODERATES DEPRESSIVE<br />
SYMPTOMS AND HPA-AXIS FUNCTION<br />
P. Zimmermann (1), T. Brueckl (1), H. Pfister (1), H.<br />
Wittchen (2), F. Holsboer (1), M. Ising (1), S. Lucae (1), R.<br />
Lieb (3), S. Kloiber* (1)<br />
1. Max-Planck-Institute <strong>of</strong> Psychiatry 2. Technische<br />
Universitaet Dresden<br />
* stkloiber@mpipsykl.mpg.de<br />
The comorbidity <strong>of</strong> depressive and metabolic disorders led to<br />
the suggestion, that metabolic networks could be involved in<br />
the pathophysiology <strong>of</strong> depression. Leptin, a major regulator<br />
<strong>of</strong> metabolic networks and has been shown to influence sleep<br />
and cognition and to exert antidepressant like effects, possibly<br />
via exerting a negative feedback inhibition on the HPA-axis.<br />
In addition, stressful life events, such as trauma, are assumed<br />
to act as environmental triggers for the onset <strong>of</strong> depression<br />
and, therefore, are capable to moderate the genetic<br />
vulnerability for depression. Analyzing the leptin system<br />
genes (LEP, LEPR, LEPROT, and LEPROTL1; 50 SNPs,<br />
Illumina 550k Bead Chip) in our 10 year prospective<br />
epidemiological sample (EDSP) consisting <strong>of</strong> 160 nuclear<br />
families including <strong>of</strong>fspring with a lifetime diagnosis <strong>of</strong> a<br />
major depression (baseline: 3021 individuals aged<br />
14-24 years), we detected SNPs in the LEPR gene displaying a<br />
clear indirect effect on depressive symptoms, which is<br />
moderated by severe traumatic events as environmental risk<br />
factor. Furthermore, the cortisol and ACTH response in the<br />
Dex/CRH test was significantly elevated in depressed patients<br />
carrying the Q223R mutation in a sample <strong>of</strong> 250 patients with<br />
major depression (MARS). Traumatic events in the patients<br />
history amplified this difference. Results remained significant<br />
after correction for age, gender and multiple testing.<br />
It is conceivable that a malfunctional leptin regulation<br />
influences cortisol levels and glucocorticoid receptor function,<br />
which in turn may contribute to the development <strong>of</strong> insulin<br />
resistance as well as improper regulation <strong>of</strong> the HPA axis in<br />
response to stress. While the former increases the risk for<br />
diabetes or other metabolic diseases, the latter poses a risk<br />
factor for the development <strong>of</strong> depression, especially, in<br />
combination with traumatic events. Our findings, therefore,<br />
provide further evidence that vulnerability for mood disorders<br />
as well as metabolic disturbances might emanate from a<br />
common pathway for which the leptin system might play a<br />
crucial role.<br />
101 INFLUENCE OF CRHR1 POLYMORPHISMS AND<br />
ADVERSE EVENTS ON DEPRESSION AND ANXIETY<br />
IN A COMMUNITY SAMPLE<br />
T. Brückl* (1), M. Ising (1), H. Pfister (1), A. Nocon (1), R.<br />
Lieb (2), F. Holsboer (1), P. Zimmermann (1)<br />
1. Max Planck Institute <strong>of</strong> Psychiatry 2. University <strong>of</strong> Basel<br />
* brueckl@mpipsykl.mpg.de<br />
Background: Depression and anxiety are highly comorbid<br />
disorders that can be conceived as stress-related disorders<br />
(SRD). Both disorders are likely to develop after exposure to<br />
stressful life events and are characterized by abnormalities <strong>of</strong><br />
the stress hormone regulation. The physical stress<br />
response is mediated by the corticotropin-releasing hormone<br />
(CRH) and polymorphisms in the corticotropin-releasing<br />
hormone type 1 (CRHR1) receptor gene have been implicated<br />
in affective and anxiety disorders (Bradley et al., 2008; Keck<br />
et al., 2008; Liu et al., 2006). The aim <strong>of</strong> this study is to<br />
examine main and interaction effects <strong>of</strong> CRHR1<br />
polymorphisms and adverse events on the subsequent onset <strong>of</strong><br />
affective and anxiety disorders. Methods: Data come from the<br />
longitudinal-epidemiological Early Developmental Stages <strong>of</strong><br />
Psychopathology (EDSP) Study comprising four waves <strong>of</strong><br />
data collection (T0-T3) in a randomly selected community<br />
sample <strong>of</strong> adolescents and young adults aged 14 to 24 years at<br />
baseline and 21 to 34 at third follow-up. Analyses are based<br />
on Caucasian study members who completed the third<br />
follow-up investigation and who consented to participate in<br />
the molecular-genetic part <strong>of</strong> the study (N=981). DSM-IV<br />
diagnoses and adverse events (e.g., trauma, separation events)<br />
were assessed using the Munich-Composite International<br />
Diagnostic Interview (M-CIDI). The association between prior<br />
adverse event and subsequent affective/anxiety disorder was<br />
assessed through Cox regressions with hazard ratios (HRs)<br />
and time-dependent covariates stratified by sex and age.<br />
Genotyping <strong>of</strong> the 6 selected SNPs was performed on a<br />
Sequenom platform employing the iPlex technology. Results:<br />
Results showed both an environmental and a genetic main<br />
effect. Prior exposure to an adverse event predicted the<br />
subsequent onset <strong>of</strong> any affective or anxiety disorder (HR=1.9,<br />
95%CI: 1.5-2.2, p=.000) and heterozygotes <strong>of</strong> the SNP<br />
“rs242940” reported significantly higher rates <strong>of</strong> any affective<br />
or anxiety disorder than minor allele homozygotes (45.3% vs.<br />
34.6%, Odds Ratio=1.6. 95% CI: 1.1-2.3, corr. p=.024). We<br />
also found a significant gene-environment interaction for the<br />
same SNP (rs242940) that withstood multiple testing (HR for<br />
interaction = 1.5, 95%CI: 1.1-2.0, corr. p-value=.048): Among<br />
individuals who had experienced an adverse event, carriers <strong>of</strong><br />
the minor allele had significantly lower rates <strong>of</strong><br />
affective/anxiety disorders than heterozygotes or major allele<br />
homozygotes, while no genotype-dependent differences in the<br />
rate <strong>of</strong> affective/anxiety disorder could be observed for<br />
individuals without exposure to an adverse event. Conclusion:<br />
CRHR1 polymorphisms seem to moderate the effect <strong>of</strong><br />
adverse events on the onset <strong>of</strong> affective or anxiety disorders<br />
whereby minor allele carriers appear to be protected against<br />
the pathogenic effect <strong>of</strong> adverse events. Liu Z et al. (2006)<br />
Association <strong>of</strong> corticotropin-releasing hormone receptor1 gene<br />
SNP and haplotype with major depression. Neuroscience
Letters 404:358-362 Keck M et al. (2008) Combined effects <strong>of</strong><br />
exonic polymorphisms in CRHR1 and AVPR1B Genes in a<br />
case/control study for panic disorder. Am J Med Genet Part B<br />
147B:1196-1204. Bradley RG et al. (2008) Influence <strong>of</strong> child<br />
abuse on adult depression. Arch Gen Psychiatry 65:190-200<br />
102 STRESSFUL LIFE EVENTS AND BDNF IN<br />
BIPOLAR DISORDER<br />
G. Hosang* (1), R. Uher (1), R. Keers (1), N. Craddock (2),<br />
M. Owen (2), A. Korszun (3), L. Jones (4), I. Jones (5), P.<br />
McGuffin (6), A. Farmer (7)<br />
1. Social, Genetic and Developmental Psychiatry Centre,<br />
Institute <strong>of</strong> Psychiatry, King's College London 2. Cardiff<br />
University 3. Queen Mary, University <strong>of</strong> London<br />
4.Birmingham University<br />
5. Cardiff University 6. Social, Genetic and Developmental<br />
Psychiatry Centre, Institute <strong>of</strong> Psychiatry, King's College<br />
London 7. Social, Genetic and Developmental Psychiatry<br />
Centre, Institute <strong>of</strong> Psychiatry, King's College London<br />
*g.hosang@iop.kcl.ac.uk<br />
Background: Bipolar disorder is a highly heritable illness,<br />
although identification <strong>of</strong> risk genes remains elusive.<br />
Gene-environment interactions have been the focus <strong>of</strong> much<br />
research since they are included in the heritability parameter.<br />
The aim <strong>of</strong> the present study was to examine the interplay<br />
between the BDNF Val66Met polymorphism and stressful life<br />
events (SLEs) in bipolar disorder. Method: A total <strong>of</strong> 1026<br />
participants were recruited, 440 bipolar I cases and 585<br />
psychiatrically healthy controls. All participants completed<br />
the List <strong>of</strong> Threatening Life Events Questionnaire, bipolar<br />
subjects reported the events that occurred 6 months leading up<br />
to their worst manic episode and 6 months prior to their worst<br />
depressive episode; controls recorded events experienced 6<br />
months before their interview. The BDNF Val66Met<br />
polymorphism was genotyped for the entire sample. Results.<br />
Both BDNF genotype and SLEs were significantly associated<br />
with bipolar disorder. For the worst depressive episodes the<br />
effects <strong>of</strong> SLEs was significantly moderated by BDNF<br />
genotype, but only for women. Conclusions: The findings <strong>of</strong><br />
this study highlight the importance <strong>of</strong> the interplay between<br />
genes and the environment in bipolar disorder.<br />
103 WHY GENOTYPE-BY-ENVIRONMENT (GXE)<br />
INTERACTIONS DESERVE MORE ATTENTION: A<br />
LITERATURE REVIEW OF GXE INTERACTIONS IN<br />
PSYCHIATRY<br />
L. Duncan* (1), E. Willcutt (1), M. Keller (1)<br />
1. Institute for Behavioral Genetics, University <strong>of</strong> Colorado at<br />
Boulder<br />
*Laramie.Duncan@Colorado.edu<br />
Background: Considerable resources have been devoted to<br />
GxE studies and meta-analyses <strong>of</strong> GxE interactions. However,<br />
to our knowledge, no one has summarized the state <strong>of</strong><br />
empirical GxE research from a broader perspective. Method:<br />
Literature review. Results: Across the 46 empirical GxE<br />
studies that met criteria for inclusion in this review, 99<br />
interactions were examined. Fifty-nine percent <strong>of</strong> the<br />
empirical studies examined one <strong>of</strong> two interactions:<br />
‘Depression ~ 5-HTTLPR x Stressful Life Events’ OR<br />
‘Antisocial ~ MAOA x Maltreatment’. The former was<br />
generally refuted by meta-analyses, and the latter<br />
supported. Statistically significant interactions in the other<br />
41% <strong>of</strong> empirical studies involved a wide variety <strong>of</strong><br />
phenotypes and environments. However, across all studies,<br />
only ten unique genes were studied, and 96% <strong>of</strong> genes in<br />
interactions were related to serotonin and/or dopamine<br />
signaling. The pool <strong>of</strong> participants across studies was<br />
representative for sex, but was not representative <strong>of</strong> racial and<br />
ethnic diversity in the United States or the world.<br />
Conclusions: Very few unique interactions have been studied,<br />
rendering empirical evidence about the realm <strong>of</strong> potential GxE<br />
interactions almost non-existent. Therefore, we cannot<br />
conclude that GxE studies “aren’t working” based on<br />
available data. Research dollars would be well-spent<br />
conducting genome-wide by environment studies, attempting<br />
to replicate the most promising GxE studies already<br />
conducted, and analyzing putative GxE interactions in extant<br />
datasets. Attention must be paid to the problem <strong>of</strong> multiple<br />
testing in GxE research. Additionally, work is needed to<br />
conduct GxE research in genetically diverse samples because<br />
minority populations have been underrepresented.
104 LACK OF EFFECT BETWEEN CANNABIS AND<br />
BDNFVAL66MET POLYMORPHISM INTERACTION<br />
ON THE EMERGENCE OF PSYCHOSIS IN A<br />
POPULATION-BASED SAMPLE.<br />
L. Michelon* (1), G. Busatto (1), R. Murray (2), P. Menezes<br />
(3), M. Scazufca (3), H. Vallada (1)<br />
1. Department <strong>of</strong> Psychiatry, Universidade de São Paulo<br />
(USP), São Paulo (SP), Brazil 2. Institute <strong>of</strong> Psychiatry,<br />
University <strong>of</strong> London, London, UK 3. Department <strong>of</strong><br />
Preventive Medicine, Universidade de São Paulo (USP), São<br />
Paulo (SP), Brazil<br />
*lmichelon2@uol.com.br<br />
Background: Brain-derived neurotrophic factor (BDNF) has a<br />
critical role in neurodevelopment, neuroprotection and<br />
cognition. The rs6265 (Val66Met) polymorphism has been<br />
consistently associated with clinical features <strong>of</strong><br />
neuropsychiatric disorders. Exposure to cannabis has also<br />
been associated with cognitive deficits and psychosis.<br />
Cannabinoids are known to modulate BDNF serum levels<br />
suggesting associated pathophysiological mechanism<br />
underlying psychosis. Accordingly, this gene-environment<br />
(GE) interaction may be <strong>of</strong> particular importance for the<br />
emergence <strong>of</strong> psychosis. Materials and Methods: We<br />
investigated the interaction between cannabis exposure and<br />
BDNF Val66Met polymorphism as a risk for psychosis in an<br />
epidemiological-based series <strong>of</strong> patients with first onset<br />
psychosis (n=134) recruited in the city <strong>of</strong> São Paulo/Brazil.<br />
Non-psychotic control subjects (n=191) were randomly<br />
selected from the same geographical areas. Results: Allelic<br />
frequencies for BDNF variants were in Hardy–Weinberg<br />
equilibrium (P>0.05). Psychotic subjects and controls did not<br />
differ in terms <strong>of</strong> sex, age and ethnic background. We could<br />
not demonstrate any association in this population between<br />
psychosis and BDNF variants. Logistic regression analyzes<br />
showed no GE interactions between cannabis use and<br />
genotype distributions or allele frequencies. The analyses were<br />
controlled for sex, age, ethnic background, scholarship and<br />
partnership. Instead, psychosis was significantly associated<br />
with cannabis exposure (X2 =5.18, p=0.02). Conclusions: The<br />
altered levels <strong>of</strong> BDNF may reflect the brain damaged caused<br />
by cannabis and not the result <strong>of</strong> a GE interaction. Despite the<br />
negative findings for rs6265 polymorphism in this population,<br />
gene-cannabis interactions seem to be a reasonable<br />
explanation to its connection with psychosis. Thus, the<br />
mechanisms underlying the association between cannabis and<br />
psychosis may be dependent <strong>of</strong> other genes variants.<br />
105 ASSOCIATION OF A HAPLOTYPE OF COMT<br />
WITH CANNABIS USE IN A FIRST EPISODE<br />
PSYCHOSIS COHORT<br />
S. Luzi* (1), F. Ducci (1), C. Iyegbe (1), J. Powell (1), R.<br />
Murray (1), M. Di Forti (1)<br />
1. Adult Psychiatry, Institute <strong>of</strong> Psychiatry, London, United<br />
Kingdom<br />
*sonija.luzi@iop.kcl.ac.uk<br />
Background: Cannabis intoxication can cause brief psychotic<br />
symptoms, whilst chronic abuse has features similar to the<br />
negative symptoms <strong>of</strong> schizophrenia. An interaction between<br />
cannabis use and the Val458Met polymorphism <strong>of</strong> COMT has<br />
been reported. The COMT gene is a key enzyme in<br />
catecholamine degradation and the Val458Met polymorphism<br />
has been reported to influence enzymatic activity (Lachman et<br />
al. 1996). Other polymorphisms within the COMT gene have<br />
also been studied. We hypothesized that a haplotype study<br />
may be a more sensitive measure <strong>of</strong> genetic variation.<br />
Methods: A total <strong>of</strong> 381 first episode psychosis subjects were<br />
genotyped for four polymorphisms using TaqMan SNP<br />
genotyping assays. Statistical analysis was performed applying<br />
a case only design. S<strong>of</strong>tware used: Hapstat, Haploview and<br />
PHASE. Results: Results show an association between a<br />
COMT haplotype and use <strong>of</strong> cannabis OR 2.02 (± 0.61);<br />
P-Value 0.01. When age <strong>of</strong> first cannabis use (first use before<br />
or after 16 years <strong>of</strong> age) was analysed, a more significant<br />
association was found: OR 2.65 (± 1.00); P-Value 0.009. After<br />
the sample was stratified by ethnicity, an association was<br />
observed in the Caucasian group: P-Value 0.04, but not in the<br />
Black Caribbean and African group (P-Value 0.21). No<br />
association between a COMT haplotype and cannabis use was<br />
found in a control group (P-Value 0.78). Conclusions: Our<br />
results suggest an interaction between a COMT haplotype and<br />
cannabis use, particularly when age <strong>of</strong> first use is during<br />
adolescence. Haplotype studies may capture genetic variations<br />
in the COMT gene more robustly.
GENETIC COUNSELING<br />
106 FAMILIARITY WITH MENTAL ILLNESS AND<br />
FEMALE PATIENTS’ INTEREST IN OBTAINING<br />
RISK ESTIMATES FOR THEIR CHILDREN TO<br />
DEVELOP SEVERE MENTAL ILLNESS<br />
T. Lepard* (1), C. Thrush (1), N. Agan (1), S. Jackson (1)<br />
1. University <strong>of</strong> Arkansas for <strong>Medical</strong> Sciences<br />
*tlepard@uams.edu<br />
It has been suggested that as the genetic component <strong>of</strong> mental<br />
illness (MI) becomes better understood, individuals with a<br />
personal or family history <strong>of</strong> MI will increasingly become<br />
interested in psychiatric risk assessment for themselves and<br />
their <strong>of</strong>fspring. Several studies have shown a high interest for<br />
psychiatric genetic testing, should it become available.<br />
However, no studies have assessed interest in receiving<br />
empiric risk estimates for <strong>of</strong>fspring to develop MI, which is<br />
available, and who may be interested in learning this<br />
information. This study assessed female participants’ interest<br />
in learning empiric risk estimates for their <strong>of</strong>fspring to develop<br />
MI, and explored associations between this interest and<br />
familiarity with severe MI and other participant<br />
characteristics. A total <strong>of</strong> 174 women receiving care at a<br />
university based obstetrical/gynecological (Ob/Gyn) clinic<br />
completed the study survey. Most participants (75%) were<br />
somewhat-to-very interested in learning empiric risk estimates<br />
for their <strong>of</strong>fspring, while 25% were not-at-all or only slightly<br />
interested. Overall, a positive correlation existed between<br />
level <strong>of</strong> familiarity with MI and the desire to learn empiric risk<br />
estimates [rs(174)=0.19, p=0.01]. This correlation was<br />
stronger among participants who were pregnant [rs(114)=0.31,<br />
p=0.001]. Among pregnant participants with a high school<br />
education, there was a large positive association between<br />
familiarity with MI and interest in risk estimates [rs(35)=0.59,<br />
p=0.001], but this correlation was negligible for pregnant<br />
participants who had attended college [rs(78) =0.107,<br />
p=0.35]. Ob/Gyn patients, particularly when pregnant, are<br />
interested in empiric risk estimates for MI in their <strong>of</strong>fspring.<br />
These results should encourage prenatal genetic counselors to<br />
engage their patients in discussion <strong>of</strong> these empiric risks.<br />
107 GENETIC COUNSELING FOR SCHIZOPHRENIA:<br />
A REVIEW OF REFERRALS TO A PROVINCIAL<br />
MEDICAL GENETICS PROGRAM FROM 1968-2007<br />
M. Hunter (1), C. Hippman (1), W. Honer (1), J. Austin* (1)<br />
1. University <strong>of</strong> British Columbia<br />
*jehannine.austin@ubc.ca<br />
Introduction: Recent studies have shown that individuals with<br />
schizophrenia and their family members are interested in<br />
genetic counseling, but few have received this service. We<br />
conducted an exploratory, retrospective study to describe (a)<br />
the population <strong>of</strong> individuals who were referred to the<br />
provincial program for genetic counseling for a primary<br />
indication <strong>of</strong> schizophrenia, and (b) trends in number <strong>of</strong><br />
referrals between 1968 and 2007. Methods: Referrals for a<br />
primary indication <strong>of</strong> schizophrenia were identified through<br />
the provincial program database. Charts were reviewed and<br />
the following information was recorded: discipline <strong>of</strong> referring<br />
physician, demographics, psychiatric diagnosis, referred<br />
individual’s and partner’s (if applicable) family history, and<br />
any current pregnancy history. Data was characterized using<br />
descriptive statistics. Results: Between 1968 and 2007, 288<br />
referrals were made for a primary indication <strong>of</strong> schizophrenia.<br />
Most referrals were made: (a) for individuals who had a<br />
first-degree family member with schizophrenia, rather than for<br />
affected individuals, (b) for preconception counseling, and (c)<br />
by family physicians (69%), with only 2% by psychiatrists.<br />
Conclusions: In British Columbia, individuals affected with<br />
schizophrenia and their family members are rarely referred for<br />
psychiatric genetic counseling. There is a need to identify<br />
barriers to psychiatric genetic counseling and develop<br />
strategies to improve access.
GENETIC EPIDEMIOLOGY<br />
108 FAMILY BASED-ASSOCIATION STUDY<br />
BETWEEN EATING DISORDER AND<br />
SEROTONINERGIC GENES.<br />
B. Camarena* (1), S. Hernández (1), L. Gonzalez (1), A.<br />
Caballero (1)<br />
1. Instituto Nacional de Psiquiatría Ramón de la Fuente<br />
*camare@imp.edu.mx<br />
Evidence from family and twin studies suggests a genetic<br />
contribution in the etiology <strong>of</strong> eating disorders (ED). The<br />
efficacy <strong>of</strong> serotonin reuptake inhibitors in the treatment <strong>of</strong><br />
ED suggests the serotonin transporter gene (SLC6A4) as a<br />
good candidate for genetic studies. A functional<br />
polymorphism (5-HTTLPR) located on the promoter region<br />
has been associated with basal transcriptional activity levels.<br />
In addition, the 5-HT1Dβ is involved in the regulation <strong>of</strong> 5-HT<br />
release from serotoninergic neuron terminals in the brain.<br />
Therefore, abnormal function <strong>of</strong> this auto-receptor could be<br />
involved in the serotonin dysfunction suggested in ED. We<br />
studied two polymorphisms <strong>of</strong> SLC6A4 and 5-HT1Dβ genes<br />
using a family-based association method. We analyzed 100<br />
families. This sample included 46% with bulimia nervosa,<br />
26% restricting anorexia nervosa and 21% purging anorexia<br />
nervosa subtypes, and 7% EDNOs. The patients showed high<br />
scores <strong>of</strong> HAM-D and HAM-A. TCI scores showed higher<br />
scores <strong>of</strong> harm avoidance and lower scores <strong>of</strong><br />
self-directedness compared with a control group. Plutchiks<br />
Impulsivity Scale showed high scores in ED patients.<br />
We analyzed the 5-HTTLPR and G861C polymorphisms 100<br />
family trios. Statistical analysis was performed using the<br />
FBAT method. Also, we analyzed clinical phenotypes with<br />
evidence <strong>of</strong> heritability and relevance to ED, such as BMI,<br />
impulsivity, aggressivity and anxiety. FBAT analysis showed<br />
linkage disequilibrium between 5-HTTLPR and eating<br />
disorders (z=3.01, p=0.0025). Also, FBAT quantitative<br />
analysis showed statistical differences between 5-HTTLPR<br />
and impulsivity (z=2.36, p=0.018) and 5-HT1Dβand anxiety<br />
(z=2.68, p=0.0073). Analysis <strong>of</strong> alternative phenotypes in<br />
larger samples <strong>of</strong> informative is necessary to try to find the<br />
gene involves in ED. Acknowledgements: The study was<br />
supported by Pfizer Scientific Institute Grant 2006, México<br />
City.<br />
109 DOWN SYNDROME IN LITHUANIA: SURVIVAL<br />
AND DISABILITY<br />
A. Sinkus* (1), L. Jurkeniene (1), I. Andriuskeviciute (1), G.<br />
Sinkute (1), L. Salomskiene (1)<br />
1. Kaunas Univ. <strong>of</strong> Medicine<br />
*sinkus@vision.kmu.lt<br />
Every year the medical boards in Lithuania (with the<br />
population 3.4 million people) ascribe about 800<br />
sixteen-year-olds to disablement groups, which makes 1.6% <strong>of</strong><br />
the population. Half <strong>of</strong> these individuals, about 400 people,<br />
are disabled because <strong>of</strong> severe mental retardation. Each year in<br />
Lithuania 70 babies suffering from Down syndrome are born<br />
but at the age <strong>of</strong> 16 Down syndrome is diagnosed only for<br />
12-16 individuals (1.8% <strong>of</strong> disabled patients, or 3.5% <strong>of</strong><br />
mentally retarded patients). The specified reasons <strong>of</strong> death are<br />
usually non-informative in medical histories (“Down<br />
syndrome”, “chromosomal disease”). In other 100 certificates<br />
the following reasons <strong>of</strong> death were enumerated:<br />
bronchopneumony in 60 patients, acute respirative infection –<br />
in 4, staphylococcous infection -1, tuberculosis -2, congenital<br />
vitium cordis -20, congenital defects <strong>of</strong> other organs -4,<br />
leukemy -4, accidents -5. In our country we have registered<br />
641 alive Down syndrome patients: 374 children under<br />
16 years <strong>of</strong> age and 267 adults (two oldest patients were 48<br />
years <strong>of</strong> age). We have made karyotype analysis in<br />
lymphocyte culture for 393 <strong>of</strong> them (61.3%). The<br />
chromosomal investigation has confirmed the diagnosis <strong>of</strong><br />
Down syndrome in 372 (94.6%) patients. Normal karyotype<br />
was found in 19 (4.8%) patients. In two patients nearby<br />
trisomy-21 an additionally reciprocal translocations <strong>of</strong> other<br />
chromosomes were present. In two patients chromosome<br />
anomalies other than trisomy-21 were found. The karyotype in<br />
one 3-year-old boy was 49,XXXXY. The boy was deeply<br />
mentally retarded and had mongolian eyeslit, epicanthus,<br />
hypertelorism, palmar simian crease, clinodaktily, arches in<br />
papilar patterns on all ten fingers, and other anomalies typical<br />
<strong>of</strong> Down syndrome patients. The other chromosome patient<br />
without trisomy-21 was 29-year-old mild mentally retarded<br />
woman in whose karyotype ring chromosome 9 was found.<br />
For both latter patients the physicians suspected Down<br />
syndrome. Therefore, in Lithuanian population false-positive<br />
diagnosis <strong>of</strong> Down syndrome was found in 5.3% <strong>of</strong> patients,<br />
i.e. two-three times rarely as compared with analogical<br />
investigations in other countries. We suppose that one <strong>of</strong> the<br />
reasons <strong>of</strong> such situation is the racial homogeneity <strong>of</strong><br />
Lithuanian population presented almost exclusively by<br />
Caucasians. But in newborn Lithuanian babies the frequency<br />
<strong>of</strong> false-positive diagnoses arises up to 32.1%: among 134<br />
patients with clinical diagnosis <strong>of</strong> Down syndrome the normal<br />
karyotype was found in 43. The main clinical feature – mental<br />
retardation – cannot be recognized in infants, and the<br />
neonatologists send the patients for karyotype analysis due to<br />
isolated microanomalies.
110 ASSOCIATION BETWEEN COMT, PTSD, AND<br />
INCREASED SMOKING FOLLOWING HURRICANE<br />
EXPOSURE IN AN EPIDEMIOLOGIC SAMPLE<br />
A. Amstadter* (1), N. Nugent (2), K. Koenen (3), K.<br />
Ruggiero (1), R. Acierno (1), D. Kilpatrick (1), S. Galea (4), J.<br />
Gelernter (5)<br />
1. <strong>Medical</strong> University <strong>of</strong> South Carolina 2. Brown <strong>Medical</strong><br />
School 3. Harvard University 4. University <strong>of</strong> Michigan 5.<br />
Yale University<br />
*amstadt@musc.edu<br />
Tobacco smoking has been found to increase after the<br />
experience <strong>of</strong> a traumatic event and has been associated with<br />
posttraumatic stress disorder (PTSD). Initiation and<br />
persistence <strong>of</strong> cigarette smoking is moderately heritable; two<br />
recent investigations have implicated the COMT Val158Met<br />
(also known as rs4680) polymorphism in smoking age <strong>of</strong><br />
initiation, dependence, as well as in quantity and frequency <strong>of</strong><br />
smoking. To examine a possible association <strong>of</strong> COMT<br />
Val158Met and post trauma increases in cigarette smoking, we<br />
studied 614 adults from the 2004 Florida Hurricane Study who<br />
returned saliva DNA samples via mail. PTSD was strongly<br />
associated with increased smoking. Moreover, each COMT<br />
Val158Met ‘Met’ allele predicted a 2.10 fold risk <strong>of</strong> smoking<br />
post-hurricane independent <strong>of</strong> PTSD; follow-up analyses<br />
revealed that this finding was primarily driven by<br />
European-American males. This study represents the first<br />
genetic association study (to our knowledge) <strong>of</strong> smoking<br />
behavior following an acute stressor.<br />
111 IDENTIFICATION OF LEPTIN, CREB1 AND TPH1<br />
AS CANDIDATE GENES FOR DEPRESSION, OBESITY<br />
AND RELATED COMORBIDITIES IN CASE<br />
CONTROL STUDY AMONG NORTH INDIANS<br />
M. Kapoor* (1), S. Kapur (1), S. Sidhu (2)<br />
1. Birla Institute <strong>of</strong> Technology and Sciences 2. Guru Nanak<br />
Dev University<br />
*kapoor.manav@gmail.com<br />
Aim: Epidemiological data suggests that there is an<br />
association between obesity and depression, as both disorders<br />
are associated with less control over appetite and increased<br />
risk for metabolic disorders. Present study attempts to find the<br />
common genetic link between these two diseases by looking<br />
into polymorphisms inthe Tryptophan Hydroxylase (TPH),<br />
Leptin (LEP) and CREB1 gene. Methods: This<br />
Exploratory case-control study comprised <strong>of</strong> 150 clinically<br />
diagnosed depressed individuals and 150 age matched<br />
controls. DNA from all 300 subjects was genotyped for repeat<br />
polymorphisms in leptin gene and CREB1 gene using<br />
PCR-SSLP method, while PCR-RFLP based method was used<br />
for the intronic polymorphism (A218C) in TPH gene. Results:<br />
A significant difference (p
112 A GENETIC ASSOCIATION STUDY OF THE<br />
FUNCTIONAL A118G POLYMORPHISM OF THE<br />
HUMAN OPIOID RECEPTOR GENE AND<br />
IMMUNO-MODULATION IN OPIATE DEPENDENT<br />
SUBJECTS<br />
S. Kapur* (1), S. Sharad (1)<br />
1. Birla Institute <strong>of</strong> Technology and Science, Pilani,<br />
Rajasthan, India<br />
*mssuman@gmail.com<br />
Purpose: Immunosuppressive effect <strong>of</strong> opiates is poorly<br />
described and poses a problem in assessing the true spectrum<br />
<strong>of</strong> these drugs. In this prospective, observational study we<br />
have explored the relationship <strong>of</strong> variation at the A118G locus<br />
in the Exon 1 <strong>of</strong> OPRM1 gene, with the amount <strong>of</strong> opiates<br />
consumed and correlate the immunosuppressive effects <strong>of</strong><br />
exogenous opiates with the mu-opiate receptor genotype <strong>of</strong> the<br />
opiate-dependent and control subjects from northern India.<br />
Methods: Frequency <strong>of</strong> the wild-type A118 and variant 118G<br />
alleles in dependent subjects (n=73) and age, sex and ethnicity<br />
matched opiate-naïve volunteers (n=73) were examined.<br />
The relationship among the A118G genotype, opiate<br />
consumption and circulating levels <strong>of</strong> immunoglobilins, IgG<br />
and IgA, were analyzed using linear regression and parametric<br />
tests. Results: Frequency <strong>of</strong> 118G allele was significantly<br />
lower in control subjects when compared to that observed in<br />
dependent subjects (X2=26.28, p
114 META-ANALYSIS OF GWAS FOR HANDEDNESS:<br />
RESULTS FROM THE ENGAGE CONSORTIUM<br />
S. Medland* (1), C. Lindgren (2), R. Magi (2), B. Neale (3),<br />
E. Albrecht (4), T. Esko (5), D. Evans (6), J. Hottenga (7), M.<br />
Ikram (8), M. Mangino (9), S. Ripatti (10), F. van Rooij (8),<br />
D. Boomsma (7), G. Davey Smith (6), I. Rückert (4), T.<br />
Spector (9), C. van Duijn (8), N. Martin (1), L. Peltonen<br />
(10), M. McCarthy (2). The ENGAGE Handedness<br />
Consortium<br />
1. Genetic Epidemiology, Queensland Institute <strong>of</strong> <strong>Medical</strong><br />
Research, Brisbane, Queensland, Australia 2. Wellcome Trust<br />
Centre for Human Genetics, University <strong>of</strong> Oxford, Oxford,<br />
UK 3. Center for Human Genetic Research, Massachusetts<br />
General Hospital, Boston, MA USA; 4. Institute <strong>of</strong><br />
Epidemiology, Helmholtz Zentrum München, German<br />
Research Center for Environmental Health, Neuherberg,<br />
Germany 5. Institute <strong>of</strong> Molecular and Cell Biology,<br />
University <strong>of</strong> Tartu, Tartu, Estonia 6. MRC Centre for Causal<br />
Analyses in Translational Epidemiology, Department <strong>of</strong> Social<br />
Medicine, University <strong>of</strong> Bristol, Bristol, UK 7. Department <strong>of</strong><br />
Biological Psychology, VU University Amsterdam,<br />
Amsterdam, The Netherlands 8. Dept <strong>of</strong> Epidemiology,<br />
Erasmus MC, Rotterdam, The Netherlands 9. Dept <strong>of</strong> Twin<br />
Research & Genetic Epidemiology, King's College, London,<br />
UK 10. National Institute <strong>of</strong> Health and Welfare, Public<br />
Health Genomics Unit and FIMM, Institute for Molecular<br />
Medicine Finland, Helsinki, Finland.<br />
*sarahMe@qimr.edu.au<br />
Background: Handedness, a consistent asymmetry in skill or<br />
preferential use between the hands, is a moderately heritable<br />
trait which is related to the lateralization <strong>of</strong> language functions<br />
within the brain. The prevalence <strong>of</strong> left-handedness (~10% in<br />
the general population) is increased in a number <strong>of</strong><br />
psychiatric, neurologic, and learning disorders suggesting that<br />
cerebral asymmetry may play a role in these disorders.<br />
Previous linkage and association studies have had only limited<br />
success. However these studies have used unselected samples<br />
resulting in low numbers <strong>of</strong> cases and low power. Here we<br />
present the results <strong>of</strong> a meta-analysis <strong>of</strong> 12 genome wide<br />
association studies, comprising 23,443 samples (2350 cases,<br />
21093 controls). Methods: Writing hand was used to classify<br />
participants as left- or right-handers, and sex and year <strong>of</strong> birth<br />
were used as covariates. All samples were derived from<br />
European descent populations. We tested for trait associations<br />
under an additive model for a total <strong>of</strong> ~2.5 million common<br />
HapMap SNPs (directly genotyped and imputed). Weighted<br />
Z-score based meta-analysis was conducted using METAL<br />
with weights defined by effective sample size. Results: We<br />
observed a number <strong>of</strong> signals approaching genome-wide<br />
significance (5x10-8) all <strong>of</strong> which were novel. Promising<br />
results were found on chromosome 5 (p = 2.455e-07) and 13<br />
(p = 6.149e-07), in regions that encompasses SLIT3 (which<br />
plays a role in the axon-guidance-pathways which guide motor<br />
neuronal development during fetal development), MAB21L1<br />
(involved in cerebellum development) and NBEA (which<br />
encodes a neuron-specific multidomain protein implicated in<br />
membrane trafficking that is predominantly expressed in the<br />
brain and during development). Conclusions: No evidence <strong>of</strong><br />
association was found for any the traditional asymmetry<br />
candidate genes (NODAL, LEFTY). Large-scale replication<br />
efforts are currently underway. These results vastly extend the<br />
number <strong>of</strong> loci implicated in the development <strong>of</strong> handedness<br />
and lateralization in general.
115 THE MGS2 CONTROL SAMPLE: COLLECTION,<br />
CHARACTERIZATION, AND VALIDITY OF A LARGE<br />
SAMPLE OF EUROPEAN-ANCESTRY AND AFRICAN<br />
AMERICAN INDIVIDUALS FOR GENETIC STUDIES<br />
A. Sanders* (1), D. Levinson (2), J. Duan (1), J. Dennis (3),<br />
R. Li (3), K. Kendler (4), J. Rice (5), J. Shi (2), B. Mowry (6),<br />
F. Amin (7), J. Silverman (8), N. Buccola (9), W. Byerley<br />
(10), D. Black (11), R. Freedman (12), C. Cloninger (5), P.<br />
Gejman (1)<br />
1. Center for Psychiatric Genetics, Department <strong>of</strong> Psychiatry<br />
and Behavioral Sciences, NorthShore University Health<br />
System, Evanston, IL 2. Department <strong>of</strong> Psychiatry and<br />
Behavioral Sciences, Stanford University, Stanford, CA<br />
3. Government & Academic Research, Knowledge Networks,<br />
Menlo Park, CA 4. Departments <strong>of</strong> Psychiatry, and Human<br />
Genetics, Virginia Commonwealth University, Richmond, VA<br />
5. Department <strong>of</strong> Psychiatry, Washington University, St.<br />
Louis, MO 6. Queensland Centre for Mental Health Research,<br />
and Queensland Institute for <strong>Medical</strong> Research, Brisbane,<br />
Queensland, Australia 7. Department <strong>of</strong> Psychiatry and<br />
Behavioral Sciences, Atlanta Veterans Affairs <strong>Medical</strong> Center,<br />
and Emory University, Atlanta, GA<br />
8. Department <strong>of</strong> Psychiatry, Mount Sinai School <strong>of</strong> Medicine,<br />
New York, NY 9. School <strong>of</strong> Nursing, Louisiana State<br />
University Health Sciences Center, New Orleans, LA<br />
10. Department <strong>of</strong> Psychiatry, University <strong>of</strong> California at San<br />
Francisco, San Francisco, CA 11. Mental Health Clinical<br />
Research Center, and Department <strong>of</strong> Psychiatry, University <strong>of</strong><br />
Iowa Carver College <strong>of</strong> Medicine, Iowa City, IA 12.<br />
Department <strong>of</strong> Psychiatry, University <strong>of</strong> Colorado Denver,<br />
Aurora, CO<br />
*alan.sanders.md@gmail.com<br />
Background: The Molecular Genetics <strong>of</strong> Schizophrenia<br />
(MGS2) internet-ascertained an adult control sample <strong>of</strong><br />
non-Hispanic European-ancestry (EA, 3,364) and African<br />
American (AA, 1,301) subjects. Methods: By an internet<br />
administered questionnaire (allowing control sample users to<br />
exclude subjects diagnostically similar to their case group), we<br />
collected phenotypic data and then blood samples, both<br />
repository-deposited for general research use. All subjects<br />
were anonymized, and 3,626 comprised the control portion <strong>of</strong><br />
the MGS2 genome-wide association study (GWAS) report.<br />
Results: Comparing to the national census, we find the MGS2<br />
control sample is generally representative. The sample is<br />
more female, and somewhat older, more educated and<br />
affluent, but all strata are represented. Self-reported ancestry<br />
matches well to genotypic and census data. Lifetime<br />
diagnostic prevalence estimates for substance, mood, and<br />
anxiety were higher than previous population-based surveys <strong>of</strong><br />
psychiatric disorders, probably due to factors such as omission<br />
<strong>of</strong> data collection for “organic” and other important exclusion<br />
criteria and the anonymity <strong>of</strong> the survey method. However,<br />
patterns such as sex ratios, comorbidity, relationships to<br />
neuroticism and extraversion, and demographic associations<br />
matched previous reports well. GWAS data cleaning resulted<br />
in equivalent proportions <strong>of</strong> exclusions for the internet<br />
collected/evaluated control sample compared to the<br />
face-to-face case sample. Conclusions: The results validate<br />
the use <strong>of</strong> the MGS2 control sample as being generally<br />
representative <strong>of</strong> the EA and AA U.S. population – for many<br />
aspects <strong>of</strong> demography, ancestry, and morbidity. The<br />
internet-based methods facilitated data-sharing and sample<br />
utility by enabling rapid collection <strong>of</strong> a large and<br />
representative sample and anonymization there<strong>of</strong>.<br />
116 GENETIC INFLUENCES ON THE NON-MEDICAL<br />
USE OF PRESCRIPTION DRUGS<br />
S. Medland* (1), M. Neale (2)<br />
1. Queensland Institute <strong>of</strong> <strong>Medical</strong> Research, Brisbane<br />
Australia<br />
2. Virginia Institute <strong>of</strong> Psychiatric and Behavioral Genetics,<br />
Richmond USA<br />
*sarahMe@qimr.edu.au<br />
Non-medical use <strong>of</strong> prescription drugs (PD) is the second most<br />
common form <strong>of</strong> drug use in teens and young adults, however<br />
relatively little is known about the aetiology <strong>of</strong> this type <strong>of</strong><br />
drug use and the influence <strong>of</strong> genetic risk factors. We used<br />
family level data collected from twins, sibling and half-sibling<br />
pairs within the Add Health study to examine the magnitude<br />
and relative importance <strong>of</strong> genetic and environmental<br />
influences on the initiation <strong>of</strong> PD misuse. The results from this<br />
study indicated that magnitude <strong>of</strong> genetic influences differed<br />
by drug type. Tranquilizer, Sedative and Stimulant initiation<br />
were moderately heritable ( 40-50%) suggesting that initiation<br />
<strong>of</strong> these types <strong>of</strong> prescription drugs are influenced by genetic<br />
risk factors to a similar extent as smoking initiation<br />
(heritability .58 within this sample). However, initiation <strong>of</strong><br />
analgesic misuse was found to be predominantly due to shared<br />
and unique environmental influences. Following, from the<br />
initial study, a second series <strong>of</strong> analyses were conducted using<br />
community level data from the Add Health study. These<br />
multi-level analyses made use <strong>of</strong> the rich data frame work <strong>of</strong><br />
the Add Health study combining data from friendship<br />
networks with the family level data to allow a more detailed<br />
exploration <strong>of</strong> the environmental influences affecting drug<br />
initiation. These analyses supported the role <strong>of</strong> genetic<br />
influences on the initiation <strong>of</strong> Tranquilizers, Sedatives and<br />
Stimulants and showed that friend and community level<br />
environmental influences were more important than within<br />
family influences on the initiation <strong>of</strong> analgesic misuse. As<br />
analgesic misuse is most common among females, these<br />
results have important implication for the targeting and design<br />
<strong>of</strong> public health campaigns and interventions.
117 GENOMEWIDE ASSOCIATION STUDY OF<br />
EXTERNALIZING DISORDERS<br />
F. Aliev* (1), M. Ozturk (1), D. Dick (1)<br />
1. Virginia Commonwealth University, Ankara University,<br />
Turkey<br />
*falievfaliev@vcu.edu<br />
Alcohol dependence is commonly comorbid with other<br />
externalizing disorders, including other forms <strong>of</strong> drug<br />
dependence, antisocial personality disorder, and childhood<br />
conduct disorder. Twin studies indicate that this overlap is due<br />
largely to shared genetic factors that predispose broadly to a<br />
variety <strong>of</strong> form <strong>of</strong> externalizing psychopathology (e.g.,<br />
Kendler et al., 2003; Krueger et al., 2000). This has<br />
implications for gene identification efforts, and suggests that<br />
some genes will predispose broadly to a variety <strong>of</strong> forms <strong>of</strong><br />
externalizing problems, rather than being disorder specific.<br />
We have previously shown that analyzing factor scores,<br />
comprised <strong>of</strong> symptoms <strong>of</strong> different externalizing disorders<br />
(alcohol dependence, drug dependence, conduct disorder,<br />
antisocial personality disorder), is useful in gene identification<br />
efforts (Dick et al., 2008). Here, we report analyses from the<br />
Collaborative Study on the Genetics <strong>of</strong> Alcoholism (COGA),<br />
in which a genome-wide association panel was genotyped by<br />
the Center for Inherited Disease Research using the Illumina 1<br />
million SNPchip platforms. Genome wide data was generated<br />
on 2000 individuals, 1905 <strong>of</strong> which remained after all data<br />
cleaning. All 1205 cases met criteria for DSM-IV Alcohol<br />
Dependence, as assessed by the SSAGA, and all 700 controls<br />
were screened against Alcohol Dependence and related<br />
substance use disorders. We created factor scores indexing<br />
overall externalizing psychopathology, based on<br />
log-transformed symptom counts for alcohol dependence, drug<br />
dependence, conduct disorder, and antisocial personality<br />
disorder. We generated results for overall externalizing factor<br />
scores, as well as for the symptom counts <strong>of</strong> the individual<br />
disorders used to create the factor scores. We find evidence for<br />
several genes and genomic regions that appear to confer risk<br />
to a variety <strong>of</strong> forms <strong>of</strong> externalizing psychopathology.<br />
118 USING LINKAGE INFORMATION TO WEIGHT A<br />
GENOME-WIDE ASSOCIATION OF BIPOLAR<br />
DISORDER<br />
D. Howrigan* (1), J. Smoller (2), P. Sklar (2), S. Purcell (2),<br />
V. Nimgaonkar (3), S. Faraone (4), B. Devlin (3), N. Laird (5),<br />
M. McQueen (1)<br />
1. University <strong>of</strong> Colorado, Boulder 2. Broad Institute <strong>of</strong><br />
Harvard and MIT 3.University <strong>of</strong> Pittsburgh School <strong>of</strong><br />
Medicine 4. SUNY Upstate <strong>Medical</strong> University, Syracuse,<br />
New York 5. Harvard School <strong>of</strong> Public Health<br />
*daniel.howrigan@gmail.com<br />
Multiple testing issues in genome-wide association studies<br />
(GWAS) have prompted statistical methods utilizing prior<br />
information to increase the power <strong>of</strong> association results.<br />
Using prior information derived from genome-wide linkage<br />
studies on Bipolar Disorder, we employed a weighted false<br />
discovery rate (wFDR; Roeder et al., 2006) approach to a<br />
GWAS drawn from the Systematic Treatment Enhancement<br />
Program for Bipolar Disorder (STEP-BD). Using this method,<br />
association signals are up or down-weighted as a function <strong>of</strong><br />
the linkage score in that genomic region. Although no SNPs<br />
reached genome-wide significance through the wFDR<br />
approach, the strongest single SNP result from the original<br />
GWAS results, rs4939921 in MYO5B (myosin VB), is<br />
up-weighted as it resides in a region on chromosome 18 that<br />
has a modest linkage signal. We also identify regions on<br />
chromosomes 9, 17, and 18 where clusters <strong>of</strong> association<br />
signals coincide with linkage evidence, implicating them as<br />
possible candidate regions for further analysis.
EARLY CAREER INVESTIGATOR TRACK:<br />
GENOMEWIDE AND META-ANALYTIC<br />
APPROACHES<br />
ECI 13 GENOME-WIDE ASSOCIATION ANALYSIS OF<br />
THE BECK DEPRESSION INVENTORY LOCALIZES<br />
A QTL INFLUENCING RISK OF MAJOR<br />
DEPRESSIVE DISORDER NEAR THE RND3 GENE<br />
M. Carless* (1), D. Glahn (2), R. Olvera (3), J. Curran (4), H.<br />
Göring (4), T. Dyer (5), E. Moses (5), L. Almasy (5), R.<br />
Duggirala (5), J. Blangero (5)<br />
1. Southwest Foundation for Biomedical Research 2. Yale<br />
University School <strong>of</strong> Medicine 3. University <strong>of</strong> Texas Health<br />
Science Center, San Antonio 4. UT Health Science Center,<br />
San Antonio 5. Southwest Foundation for Biomedical<br />
Research<br />
* mcarless@sfbrgenetics.org<br />
Major depressive disorder (MDD) is a common heritable<br />
mental disease for which few susceptibility loci have been<br />
identified. In this study, we describe the first genome-wide<br />
association study to search for genes influencing quantitative<br />
variation in the Beck Depression Inventory (BDI), an<br />
endophenotype measuring depressive severity. Extensive data<br />
has been obtained on 597 individuals from 40 Mexican<br />
American families. Based on a consensus diagnosis following<br />
standardized psychiatric examinations, lifetime prevalence <strong>of</strong><br />
MDD was 35% in this population. Heritability <strong>of</strong> total BDI<br />
(controlling for age and sex effects) was estimated to be 0.27<br />
(p=3.4×10-4), suggesting that approximately one third <strong>of</strong> the<br />
phenotypic variation in BDI scores has a genetic basis. In<br />
order to localize genomic regions harboring quantitative trait<br />
loci (QTLs) influencing BDI score, we genotyped individuals<br />
using Illumina HumanHap 550K BeadChips. Using a variance<br />
component model incorporating a “measured genotype” fixed<br />
effect, we performed genome-wide association analysis on<br />
BDI, localizing a QTL to chromosome 2q23. One SNP<br />
(rs289943), located between RND3 and FABP5L10 genes,<br />
was strongly associated with BDI (p = 2.1×10-8). This<br />
relatively rare SNP (MAF = 0.05) is also strongly associated<br />
with lifetime MDD affection status (nominal p-value =<br />
8.7×10-4). The RND3 gene may represent an interesting<br />
candidate for risk <strong>of</strong> depression, coding for a small GTPase<br />
known to be involved neuronal migration and postnatal<br />
development/maturation <strong>of</strong> the central nervous system and<br />
thought to be involved in the inflammatory response <strong>of</strong> brain<br />
astrocytes. This result now requires deep sequencing to<br />
identify causal functional variants within this genomic region.<br />
ECI 14 SLEEPLESSNESS SUBPHENOTYPE OF<br />
BIPOLAR I DISORDER HERALDS MORE SEVERE<br />
COURSE OF ILLNESS AND GWAS DATA SUGGESTS<br />
THREE ASSOCIATED GENE VARIANTS<br />
V. Coleman* (1), D. Koller (2), T. Foroud (2), X. Xuei (3), H.<br />
Edenberg (3), X. Cai (4), E. Brizendine (4), M. Erpe (5),<br />
Bipolar Genome Study (BiGS), J. Nurnberger, Jr. (5)<br />
1. Indiana University School <strong>of</strong> Medicine 2. IUSM,<br />
Department <strong>of</strong> <strong>Medical</strong> and Molecular Genetics 3. IUSM,<br />
Department <strong>of</strong> Biochemical and Molecular Biology 4. IUSM,<br />
Department <strong>of</strong> Medicine 5. IUSM, Department <strong>of</strong> Psychiatry<br />
* vecolema@iupui.edu<br />
One strategy for elucidating the genetics and pathophysiology<br />
<strong>of</strong> bipolar disorder (BPI) involves identification <strong>of</strong><br />
subphenotypes; we studied sleeplessness at the onset <strong>of</strong> mania<br />
as a possible index <strong>of</strong> circadian disruption. Using diagnostic<br />
data from NIMH Genetics Initiative Bipolar sample (BiGS<br />
Consortium), we performed a case-control study <strong>of</strong> 2213 BPI<br />
subjects retrospectively reporting sleeplessness preceded their<br />
first manic episode (SLN+; cases) and those who denied such<br />
(SLN-; controls). Genetic analysis using genotypic data <strong>of</strong> a<br />
SLN+ subset (n=221) versus normal controls (n=1034) was<br />
performed (see Smith, et al, 2009 for detailed methods).<br />
Chi-square tests were performed for categorical data, and<br />
t-tests or Mann-Whitney tests for quantitative variables.<br />
Compared to the SLN- controls, the SLN+ group had more<br />
manic episodes, hospitalizations for mania, suicide attempts,<br />
rapid mood switching and psychosis with mania. Association<br />
was found with two SNPs near KIAA0143, which codes for a<br />
plasma membrane binding protein. The SNPs have a<br />
frequency <strong>of</strong> ~4% in cases and ~1% in controls. The p-values<br />
for association were 8x10-9 and 2x10-7. Our second area <strong>of</strong><br />
interest comprised 3 SNPs near NAP5 (all p=2-4x10-6); this is<br />
designated as a peripheral clock protein and there is a possible<br />
association with multiple sclerosis. A third area <strong>of</strong> interest<br />
comprised 3 SNPs in MEP1B, the most significant showing a<br />
p-value <strong>of</strong> 5x10-7. This codes for a zinc metalloprotease.<br />
These results are now being tested in a separate replication<br />
sample. Conclusion: Sleeplessness prior to the first manic<br />
episode may identify a distinct and functional subphenotype<br />
for future investigations.
ECI 15 IDENTIFICATION OF TRAPPC9 AS A CAUSE<br />
OF NON-SYNDROMIC AUTOSOMAL RECESSIVE<br />
MENTAL RETARDATION<br />
L. Kaufman* (1), A. Mir (2), A. Noor (1), M. Ayub (3), J.<br />
Vincent (1)<br />
1. Centre for Addiction and Mental Health (CAMH),<br />
University <strong>of</strong> Toronto, Toronto, ON, Canada<br />
2. Dept. <strong>of</strong> Bioscience, COMSATS Institute <strong>of</strong> Information<br />
Technology, Islamabad, Pakistan<br />
3. St. Luke's Hospital, Middlesborough, United Kingdom<br />
* liana_kaufman@camh.net<br />
In this study, we identify TRAPPC9 as the sixth causal gene<br />
for non-syndromic autosomal recessive mental retardation<br />
(NS-ARMR). Mental retardation is an intellectual disability<br />
characterized by an IQ below 70 and deficits in adaptive<br />
behaviours. Currently, there are only 5 genes known to cause<br />
NS-ARMR. We identified a mutation in TRAPPC9 in a large<br />
consanguineous family from Pakistan with NS-ARMR. Using<br />
5.0 Affymetrix genome wide SNP chips we analyzed the DNA<br />
<strong>of</strong> 20 family members. We used dChip s<strong>of</strong>tware to complete<br />
homozygosity mapping, and identified the disease locus at<br />
8q24. Consanguinity makes is possible to identify long<br />
stretches <strong>of</strong> autozygosity where the disease gene lies. We then<br />
used sequencing to elucidate the disease-causing gene. We<br />
identified a C>T mutation at the end <strong>of</strong> exon 7 <strong>of</strong> this 23 exon<br />
gene. The resulting protein contains the nonsense mutation<br />
R377X. Using qPCR we were able to show that the mRNA<br />
levels <strong>of</strong> TRAPPC9 are markedly decreased in affected family<br />
members. The protein product <strong>of</strong> TRAPPC9, NIBP, is<br />
involved in the activation <strong>of</strong> the NF-β signaling pathway. It is<br />
expressed ubiquitously, but at higher levels in the muscle,<br />
heart, brain, kidney, and placenta. It may be involved in<br />
neuronal differentiation and cell survival, as well as in golgi<br />
trafficking. Additional clinical features in affected family<br />
members include cerebellar white matter hypoplasia and<br />
tendency towards small head size. Understanding the genetic<br />
causes for mental retardation is a vital component <strong>of</strong><br />
elucidating pathological mechanisms, and other potentially<br />
pathological genes.<br />
ECI 16 COMPREHENSIVE META-ANALYSES BASED<br />
ON ASSOCIATION STUDIES OF ALCOHOL,<br />
COCAINE, HEROIN AND METHAMPHETAMINE<br />
DEPENDENCE<br />
D. Li* (1), H. Zhao (2)<br />
1. Department <strong>of</strong> Psychiatry, School <strong>of</strong> Medicine, Yale<br />
University, New Haven, USA 2. Department <strong>of</strong> Epidemiology<br />
and Public Health and Department <strong>of</strong> Genetics, School <strong>of</strong><br />
Medicine, Yale University, New Haven, USA<br />
* dawei.li@yale.edu<br />
Background: Genetic studies have identified associations <strong>of</strong><br />
many susceptibility genes with alcohol, heroin, cocaine,<br />
ormethamphetamine dependence. However, a proportion <strong>of</strong><br />
alternative studies have produced contradictory results in<br />
terms <strong>of</strong> positive and negative findings, possibly reflecting<br />
inadequate statistical power and use <strong>of</strong> different ethnic<br />
populations. Methods: Using the cumulative case-control and<br />
family-based samples <strong>of</strong> European, Asian, African, and<br />
Hispanic origins published in recent two decades, the<br />
meta-analyses <strong>of</strong> 25 commonly-reported candidate genes seek<br />
to examine whether the aggregate data provide evidence <strong>of</strong><br />
statistical significance and to clarify the inconsistent findings<br />
using systematic methods and models (eg. allelic vs.<br />
genotypic; dominant vs. recessive; overall vs. sub-grouped;<br />
sensitivity and retrospective analyses; and random effects<br />
model). Results: The serotonin transporter gene (SLC6A4)<br />
was strongly associated with alcohol, heroin, cocaine, and<br />
methamphetamine dependence (P= 0.0002; OR = 0.79 (0.7 -<br />
0.9); Very strong associations were replicated for the aldehyde<br />
dehydrogenase 2 gene (ALDH2) (P = 5 × 10-37; OR = 0.23<br />
(0.18 - 0.29)) and alcohol dehydrogenase genes (P = 2 ×<br />
10-21; OR = 1.9 (1.66 - 2.17) for ADH1B and P = 4 × 10-33;<br />
OR = 2.14 (1.89 - 2.43) for ADH1C) with alcoholism and with<br />
alcohol-induced medical diseases; Strong associations were<br />
detected for the dopamine receptor genes (P = 1 × 10-8for<br />
DRD2 and P = 0.001 for DRD4) and gamma-aminobutyric<br />
acid subunit genes (P = 0.0005 for GABRG2; P = 0.00007 for<br />
GABRA2; and P = 0.00006 for GABRA6) with alcohol and<br />
drug abuse; Significant associations were also found with<br />
5-hydroxytryptamine receptor genes (HTR1B and HTR2A)<br />
and cannabinoid receptor 1 gene (CNR1); Significant<br />
association was also found between the cytochrome P450 2E1<br />
gene (CYP2E1) and alcoholic liver disease (P = 0.007); Strong<br />
association were revealed with the monoamine oxidase A gene<br />
(MAOA, P = 9 × 10-5) and tryptophan hydroxylase gene<br />
(TPH, P = 0.0002) in Caucasians; Weak association was found<br />
with the opioid receptor delta 1 gene (OPRD1); And weak<br />
associations were also revealed with the<br />
catechol-O-methyltransferase gene (COMT) and dopamine<br />
transporter gene (DAT1) in Asians. However, no evidence <strong>of</strong><br />
association was found with the DRD1, DRD3, neuropeptide Y<br />
gene (NPY), and OPRM1 genes. No strong evidence <strong>of</strong><br />
publication bias was found.Conclusion: The findings in this<br />
study, which may be the most comprehensive meta-analysis<br />
study for substance abuse up to now, may provide the<br />
strongest evidence <strong>of</strong> associations for these candidate genes.
ECI 17 A GENOME WIDE ASSOCIATION STUDY OF<br />
COMORBID ALCOHOLISM AND BIPOLAR<br />
DISORDER<br />
G. Lydall* (1), N. Bass (1), A. McQuillin (1), M. Robinson<br />
(1), J. Lawrence (1), A. Anjorin (1), R. Kandaswamy (1), A.<br />
Pereira (1), I. Guerrini (1), D. Curtis (2), A. Vine (2), P. Sklar<br />
(3), E. Scolnick (4), S. Purcell (5), H. Gurling (1)<br />
1. Molecular Psychiatry Laboratory, Department <strong>of</strong> Mental<br />
Health Sciences, Windeyer Institute <strong>of</strong> <strong>Medical</strong> Sciences,<br />
University College London, London, UK 2. Centre for<br />
Psychiatry, Barts and the London School <strong>of</strong> Medicine and<br />
Dentistry, Queen Mary, University <strong>of</strong> London, UK 3. 6Broad<br />
Institute <strong>of</strong> Harvard and MIT, Cambridge, MA; 5Departments<br />
<strong>of</strong> Genetics, Psychiatry or Medicine, Harvard <strong>Medical</strong> School,<br />
Boston, MA, USA 4. Broad Institute <strong>of</strong> Harvard and MIT,<br />
Cambridge, MA, USA 5. Departments <strong>of</strong> Genetics, Psychiatry<br />
or Medicine, Harvard <strong>Medical</strong> School, Boston, MA; Broad<br />
Institute <strong>of</strong> Harvard and MIT, Cambridge, MA, USA<br />
* g.lydall@ucl.ac.uk<br />
We have investigated the comorbidity between bipolar<br />
affective disorder and alcoholism with a genome-wide allelic<br />
association study <strong>of</strong> 506 patients from the University College<br />
London (UCL) bipolar disorder case control sample. In this<br />
group, there were 143 bipolar research subjects who also<br />
had a research diagnostic criteria (RDC) diagnosis <strong>of</strong><br />
alcoholism. These were compared to 510 ancestrally-matched<br />
supernormal controls. No marker reached conventional criteria<br />
for genome-wide significance. Genes previously shown to be<br />
associated with alcoholism and addiction phenotypes were<br />
tested for association in the bipolar alcoholic sample using<br />
gene wise permutation tests <strong>of</strong> all SNPs genotyped within a<br />
50kb region flanking each gene. Several CNS genes showed<br />
significant (p
ECI 19 GENOME-WIDE ASSOCIATION STUDY<br />
IDENTIFIES A RISK LOCUS FOR PEDIATRIC-ONSET<br />
BIPOLAR DISORDER ON CHROMOSOME 5Q<br />
D. Chen* (1), N. Akula (1), C. Steele (1), Bipolar Genome<br />
Study (BiGS), F. McMahon (1)<br />
1. Unit on the Genetic Basis <strong>of</strong> Mood & Anxiety Disorder,<br />
National Institute <strong>of</strong> Mental health, National Institutes <strong>of</strong><br />
Health, U.S. Dept <strong>of</strong> Health and Human Services<br />
* chend4@mail.nih.gov<br />
Pediatric-onset bipolar disorder (PBPD) is a strongly familial,<br />
<strong>of</strong>ten chronic and disabling condition. The American<br />
Academy <strong>of</strong> Child & Adolescent Psychiatry (AACAP) defines<br />
PBPD as onset <strong>of</strong> mania
GENOMICS<br />
119 GENOME-WIDE SCREENING FOR COMMON<br />
AND RARE COPY NUMBER VARIANTS IN A<br />
GERMAN SAMPLE OF BIPOLAR DISORDER<br />
L. Priebe (1), F. Degenhardt (1), S. Herms (1), M. Mattheisen<br />
(1), V. Nieratschker (2), S. Witt (2), R. Breuer (2), M. Alblas<br />
(1), S. Moebus (3), S. Schreiber (4), M. Rietschel (5), M.<br />
Nöthen (6), S. Cichon (6), T. Mühleisen (1)<br />
1. Institute <strong>of</strong> Human Genetics, Department <strong>of</strong> Genomics, Life<br />
& Brain Center, University <strong>of</strong> Bonn, Bonn, Germany 2.<br />
Department <strong>of</strong> Genetic Epidemiology, Central Institute <strong>of</strong><br />
Mental Health, Mannheim, Germany 3. Institute for <strong>Medical</strong><br />
Informatics, Biometry and Epidemiology, University Hospital<br />
<strong>of</strong> Essen, University Duisburg-Essen, Essen, Germany 4.<br />
Institute <strong>of</strong> Clinical Molecular Biology, University Hospital<br />
Schleswig-Holstein, Kiel, Germany 5. Department <strong>of</strong> Genetic<br />
Epidemiology, Central Institute <strong>of</strong> Mental Health, Mannheim,<br />
Germany 6. Institute <strong>of</strong> Human Genetics, University <strong>of</strong> Bonn,<br />
Bonn, Germany<br />
Only few studies have investigated the influence <strong>of</strong> copy<br />
number variants (CNVs) on susceptibility to bipolar<br />
disorder(BP). We conducted a systematic screening for<br />
common and rare CNVs in a sample <strong>of</strong> 882 patients (~25%<br />
early-onset <strong>of</strong> BP and/or positive family history) with a<br />
DSM-IV diagnosis <strong>of</strong> BP I and 872 controls, all <strong>of</strong> German<br />
descent. They were either genotyped on Illumina's<br />
HumanHap550 or human610-quad arrays, sharing a consensus<br />
set <strong>of</strong> ~550,000 SNPs. To identify potential CNVs, we used<br />
QuantiSNP and applied a series <strong>of</strong> quality control and CNV<br />
selection filters. CNVs were compared between patients and<br />
controls by permutation-based tests <strong>of</strong> association, as<br />
implemented in PLINK. Adopting a global burden approach,<br />
we found no difference in total number <strong>of</strong> CNVs in patients<br />
vs. controls. However, we observed that patients on average<br />
present larger singleton deletions than controls (patients vs.<br />
controls = 472.6kb vs. 249.3kb; P=0.0139). Furthermore, we<br />
identified three specific CNVs that were nominally associated<br />
with BP: a 224kb deletion on 9q (patients vs. controls = 0.57<br />
% vs. 0%; P=0.032; OR=4.96) and a 160kb duplication on 10q<br />
(patients vs.controls = 6% vs. 3.7%; P=0.035; OR=1.68), and<br />
a 265kb duplication on 6q overrepresented in the early onset<br />
BP disorder subgroup (12/196 patients vs. 22/872 controls =<br />
6.1% vs. 2.5%; P=0.00972; OR=2.52). Our results provide<br />
suggestive evidence for an involvement <strong>of</strong> large singleton<br />
deletions as well as CNVs on 6q, 9q, and 10q in BP. However,<br />
they need to be followed-up in independent samples before<br />
firm conclusions can be drawn.<br />
120 QUANTITATIVE TRAIT LOCI CONTRIBUTING<br />
TO PHYSIOLOGICAL AND BEHAVIORAL ETHANOL<br />
RESPONSES<br />
E. Drews* (1), I. Racz (1), A. Barth (1), A. Diaz Lacava (2),<br />
A. Bilkei-Gorzo (1), T. Wienker (2), A. Zimmer (1)<br />
1. Institute <strong>of</strong> Molecular Psychiatry, University <strong>of</strong> Bonn,<br />
Germany 2. Institute <strong>of</strong> <strong>Medical</strong> Biometry, Informatics and<br />
Epidemiology, University <strong>of</strong> Bonn, Germany<br />
* edrews@uni-bonn.de<br />
The aim <strong>of</strong> the present study was the identification <strong>of</strong> gene<br />
loci or quantitative traits that contribute to the development<br />
and manifestation <strong>of</strong> alcohol addiction and related behaviors.<br />
For a QTL study design the second filial (F2) generation <strong>of</strong> a<br />
C57BL/6J and C3H/HeJ mice intercross was first phenotyped<br />
in paradigms related to alcohol addiction. We examined<br />
behaviors including ethanol preference, stress-induced<br />
changes in ethanol preference, ethanol-induced hypothermia,<br />
tolerance, somatic withdrawal symptoms, withdrawal-induced<br />
anxiety and locomotor effects in 534 genetically<br />
heterogeneous mice from our intercross. The genotype <strong>of</strong><br />
these mice was subsequently assessed by microsatellite marker<br />
mapping accounting fragment lengths polymorphisms between<br />
the alleles <strong>of</strong> the <strong>of</strong>fspring. QTL contributing to alcohol<br />
dependence and related traits were subsequently identified<br />
using univariate and bivariate analyses. These analyses were<br />
performed with the R/qtl tool, which is an extensible,<br />
interactive environment for mapping QTL in experimental<br />
crosses. To determine individually-acting QTL, a genome scan<br />
using the multiple imputation algorithm was conducted, with a<br />
two-QTL genome scan for the full model (two QTL plus<br />
interaction) and for the additive model (two QTL but no<br />
interaction) interacting loci were analyzed. We detected<br />
chromosomal regions for future exploration where no obvious<br />
candidate gene has yet been mapped. Additionally, we found<br />
QTL that have already been published, thus confirming the<br />
impact <strong>of</strong> these loci on the development and manifestation <strong>of</strong><br />
alcoholism.
121 IDENTIFICATION OF MITOCHONDRIAL DNA<br />
MUTATIONS IN THREE PATIENTS EXHIBITING<br />
NEUROPSYCHIATRIC SYMPTOMS<br />
M. Nakamura* (1), M. Kato (1), M. Ichiba (1), A. Tomiyasu<br />
(1), H. Shimo (1), T. Higuchi (1), S. Ueno (2), A. Sano (1)<br />
1. Departments <strong>of</strong> Psychiatry, Kagoshima University Graduate<br />
School <strong>of</strong> <strong>Medical</strong> and Dental 2. Department <strong>of</strong> Psychiatry,<br />
Ehime University Graduate School <strong>of</strong> Medicine, Ehime<br />
University<br />
* nakamu36@m.kufm.kagoshima-u.ac.jp<br />
It has been suggested that mitochondrial dysfunction is an<br />
important factor in the pathogenesis <strong>of</strong> psychiatric disorders<br />
including depression, schizophrenia and dementia.Recently,<br />
we identified 3 adult patients exhibiting psychiatric symptoms<br />
and mitochondrial encephalopathy who were also shown to<br />
possess mitochondrial DNA (mtDNA) deletion mutations in<br />
their skeletal muscle, but not leukocytes. One patient showing<br />
schizophrenia-like symptoms and dementia was found to carry<br />
a novel polymorphism termed A5127G, which was shown not<br />
to be disease- or schizophrenia-specific. Although<br />
homoplasmic A8291T, which have been reported to be<br />
specific to limb-girdle type mitochondrial myopathy, was also<br />
detected in the patient, the mutation was shown not to be<br />
disease- or schizophrenia-specific. We next investigated<br />
whether mutations or copy number variants existed in the<br />
nuclear genes POLG, POLG2, C10orf2,SLC25A4, ECGF1,<br />
OPA1 and WFS1, as mutations in these genes are known to<br />
cause deletions in mtDNA. We failed to identify any<br />
pathogenic mutations or copy number variants in the 3 patients<br />
observed; however, A587C in SLC25A4was shown to<br />
represent a novel polymorphism not specific to the disease.<br />
Although further studies are required to determine the precise<br />
relationships between novel nuclear gene mutations and<br />
mtDNA mutations, it appears that themolecular pathways<br />
inducing mitochondrial abnormalities may be implicated in a<br />
variety <strong>of</strong> psychiatric conditions.<br />
122 CONTRIBUTION OF COPY NUMBER<br />
VARIATIONS IN DISC1 AND INTERACTION<br />
PARTNERS TO SCHIZOPHRENIA,<br />
SCHIZO-AFFECTIVE AND BIPOLAR DISORDER IN<br />
THE NORTHERN SWEDISH POPULATION<br />
M. Alaerts (1, 2), L. Moens (1, 2), S. Ceulemans (1, 2), D.<br />
Forero (1, 2), A. Lenaerts (1, 2), K. Norrback (3), D. Goossens<br />
(1, 2), R. Adolfsson (3), J. Del-Favero* (1, 2)<br />
1. 1Applied Molecular Genomics Group, Department <strong>of</strong><br />
Molecular Genetics, VIB, Belgium<br />
2. University <strong>of</strong> Antwerp (UA), Antwerp, Belgium<br />
3. Department <strong>of</strong> Clinical Sciences, Psychiatry, Umeå<br />
University, Sweden<br />
* jurgen.delfavero@molgen.vib-ua.be<br />
Accumulating genetic and functional evidence support DISC1<br />
as one <strong>of</strong> the most likely genes to be implicated in the etiology<br />
<strong>of</strong> schizophrenia(SZ), schizoaffective (SA) and bipolar (BP)<br />
disorders. Furthermore, many <strong>of</strong> its protein binding partners<br />
show evidence <strong>of</strong> involvement in the development <strong>of</strong> these<br />
psychiatric disorders. Since copy-number variation (CNV) is<br />
suspected to play an important causal role in these disorders,<br />
we explored DISC1 and its binding partners PAFAH1B1,<br />
NDE1, NDEL1, FEZ1, MAP1A, CIT and PDE4B for CNVs in<br />
1062 SZ, SA and BPpatients, 227 relatives and 512 unrelated<br />
control individuals from a Northern Swedish isolated<br />
population. This analysis was performed with the<br />
multiplexamplicon quantification (MAQ) method that allows<br />
high resolution CNV detection and resulted in the detection <strong>of</strong><br />
three duplications. A rare duplication covering NDEL1 and<br />
part <strong>of</strong> MYH10 detected in one SZ patientpotentially is a<br />
pathogenic variant with low frequency but high penetrance. A<br />
duplication encompassing NDE1 and adjacent genes might be<br />
a risk factor with small effect for SA disorder. The third is a<br />
relatively common duplication encompassing the first exon <strong>of</strong><br />
DISC1, and is not likely to be a susceptibility factor for these<br />
disorders. However, the presence <strong>of</strong> four copies <strong>of</strong> this DISC1<br />
CNV, observed exclusively in one patient with SZ, might<br />
nevertheless play a role. Our findings provide further evidence<br />
for involvement <strong>of</strong> DISC1 and some <strong>of</strong> its interaction partners<br />
in psychiatric disorders and also for a role <strong>of</strong> structural<br />
variants in the etiology <strong>of</strong> these devastating diseases.
123 RESEQUENCING AND COPY NUMBER<br />
VARIATIONS ANALYSES FOR GENES<br />
RESPONSIBLE FOR NEUROACANTHOCYTOSIS IN<br />
MOOD DISORDERS<br />
H. Shimo* (1), M. Nakamura (1), A. Tomiyasu (1), N.<br />
Shiokawa (1), M. Ichiba (1), S. Ueno (2), A. Sano (1)<br />
1. Department <strong>of</strong> Psychiatry, Kagoshima University Graduate<br />
School <strong>of</strong> <strong>Medical</strong> and Dental Sciences, Kagoshima<br />
University 6. Ehime University Graduate School <strong>of</strong> Medicine<br />
* hishimo7@m2.kufm.kagoshima-u.ac.jp<br />
Neuroacanthocytosis is an inclusive term for a genetically<br />
heterogeneous group <strong>of</strong> disorders characterized by the<br />
association <strong>of</strong> neurological and neuropsychiatric abnormalities<br />
with red cell acanthocytosis.The core neuroacanthocytosis<br />
syndromes mainly comprise <strong>of</strong> the two diseases,<br />
chorea-acanthocytosis(ChAc) and the McLeod<br />
syndrome(MLS). A high incidence <strong>of</strong> psychiatric disorders<br />
such as mood disorder is known in the patients with ChAc or<br />
MLS and also in carriers with heterozygous pathogenic<br />
mutation <strong>of</strong> VPS13A, the gene responsible for ChAc, in the<br />
patients’ pedigrees. Thus, we hypothesized that VPS13A<br />
andXK, the gene responsible for MLS, maybe associated with<br />
susceptibility to mood disorder. In the present study, we<br />
performed a comprehensive mutation screen <strong>of</strong> VPS13A and<br />
XK in 85 patients with mood disorder. We also performed<br />
copy number variations (CNVs) analysis by quantitative PCR<br />
and long range PCR in 72 patients with mood disorder. We<br />
identified four nonsynonymous and eight synonymous single<br />
nucleotide variants that were absent in 50 or more controls.<br />
We identified heterozygous exon60 deletion <strong>of</strong> VPS13A in<br />
one patient with mood disorder by CNVs analysis. Although<br />
further studies with larger sample size and functional analysis<br />
are needed, present study suggests that<br />
neuroacanthocytosis-related-genes may be associated with<br />
susceptibility to mood disorder.<br />
124 NOVEL PATHOGENIC MUTATIONS AND COPY<br />
NUMBER VARIATIONS OF VPS13A IN PATIENTS<br />
WITH CHOREA-ACANTHOCYTOSIS<br />
A. Tomiyasu* (1), M. Nakamura (1), H. Shimo (1), N.<br />
Shiokawa (1), S. Ueno (2), A. Sano (3)<br />
1. Department <strong>of</strong> Psychiatry, Kagoshima University Graduate<br />
School <strong>of</strong> <strong>Medical</strong> and Dental Sciences, Kagoshima<br />
University, Kagoshima 2. Ehime University Graduate School<br />
<strong>of</strong> Medicine, Ehime 3. Kagoshima University Graduate School<br />
<strong>of</strong> <strong>Medical</strong> and Dental Sciences, Kagoshima University,<br />
Kagoshima<br />
* aki-tomy@m2.kufm.kagoshima-u.ac.jp<br />
Chorea-acanthocytosis(ChAc) is a rare autosomal recessive<br />
neurodegenerative disorder caused by Loss <strong>of</strong> function<br />
mutations in the VPS13Agene encoding chorein, and<br />
characterized by adult-onset chorea and acanthocytosis in<br />
erythrocytes, psychiatric symptoms such as progressive<br />
cognitive dysfunction. In the present study, we performed<br />
mutational screenincluding sequencing and copy number<br />
variation (CNV) analyses <strong>of</strong> the VPS13A gene in ChAc<br />
patients. Sequencing analysis was performed for all 73 exons<br />
and flanking regions <strong>of</strong> VPS13A in 36 patients clinically<br />
diagnosed as ChAc. Since there is a possibility <strong>of</strong> the<br />
existence <strong>of</strong> CNVs which fail to be identified by only using<br />
sequencing analysis, we also performed real-time quantitative<br />
PCR for VPS13Agene on patients in whom only one<br />
heterozygous mutation was detected by the sequencing<br />
analysis. We identified 36 different mutations including<br />
disease causing novel CNVs, 27 <strong>of</strong> which have been<br />
unreported previously. In addition,we investigated the<br />
expression <strong>of</strong> chorein by the western blot analysis using red<br />
cell ghost samples from some <strong>of</strong> the patients. Western blot<br />
analysis perfectly demonstrated the absence <strong>of</strong> chorein in the<br />
patients. We provided the necessity <strong>of</strong> the real-time PCR as an<br />
accurate, simple, and reproducible method <strong>of</strong> detecting CNVs<br />
and confirmed an importance <strong>of</strong> western blot analysis as a<br />
diagnostic method <strong>of</strong> ChAc.
125 DEVELOPMENT OF NEXT GENERATION<br />
SEQUENCING METHODS FOR TARGETED<br />
SCREENING OF NUMEROUS CANDIDATE GENES IN<br />
MULTIPLE INDEXED DNA SAMPLES TO DETECT<br />
SNPS AND CNVS<br />
D. Morris* (1), E. Kenny (1), A. Gates (1), L. Cochrane (1),<br />
W. Gilks (1), P. Cormican (1), M. Gill (1), A. Corvin (1)<br />
1. Trinity College Dublin<br />
* morrisdw@tcd.ie<br />
Next-generation sequencing technology has allowed<br />
sequencing <strong>of</strong> whole genomes to be carried out in standard<br />
molecular genetics laboratories. However, an important<br />
application <strong>of</strong> this technology is sequencing <strong>of</strong> specific<br />
genomic regions, for example disease genes in patient<br />
samples. In order to sequence parts <strong>of</strong> the genome <strong>of</strong> interest,<br />
a number <strong>of</strong> methods have been developed including long<br />
range PCR and microarray capture. Both methods have been<br />
shown to work but are costly and expensive. Agilent<br />
Technologies have developed the SureSelect Target<br />
Enrichment System. This method allows targeting <strong>of</strong> 3.3Mb <strong>of</strong><br />
the genome by using cRNA baits. Indexing methods have<br />
been developed for next generation sequencing that allow<br />
multiplexing <strong>of</strong> samples in one sequencing library. We have<br />
combined the SureSelect Target Enrichment System with an<br />
indexing protocol to develop a cost-efficient method for<br />
targeting smaller regions <strong>of</strong> the genome (e.g. whole genes or<br />
just exons) in multiple DNA samples. We evaluated this<br />
method by sequencing target genes and known copy number<br />
polymorphic regions in HapMap CEU DNA samples and<br />
comparing the results to available online genetic variation<br />
data. For the SureSelect method, unique baits were designed to<br />
capture genomic fragments in the target regions and 3ug <strong>of</strong><br />
genomic DNA was used as input for the Illumina genomic<br />
DNA library prep method. The Illumina genomic DNA library<br />
prep method was modified to allow indexing <strong>of</strong> more than one<br />
sample in each sequencing library according to Craig et al<br />
(2008; PMID: 18794863). Analysis <strong>of</strong> 9 indexed DNA<br />
samples shows similar and even coverage across target genes<br />
indicating that an indexing method can be combined with the<br />
SureSelect method. We will present data on the performance<br />
<strong>of</strong> this method in detecting known sequence and structural<br />
variation in HapMap samples and present a protocol that will<br />
be extremely useful in the rapid sequencing <strong>of</strong> target genomic<br />
regions for SNPs and CNVs in patient and control samples.<br />
126 DETECTION OF STABLE REFERENCE GENES<br />
FOR REAL-TIME PCR ANALYSIS IN<br />
SCHIZOPHRENIA AND BIPOLAR DISORDER<br />
G. Silberberg (1), K. Baruch (1), R. Navon* (1)<br />
1. Department <strong>of</strong> Human Genetics and Biochemistry, Sackler<br />
School <strong>of</strong> Medicine, Tel Aviv University, Tel Aviv, Israel<br />
* rnavon@post.tau.ac.il<br />
Gene expression studies using postmortem human brain tissue<br />
are a common tool for studying the etiology <strong>of</strong> psychiatric<br />
disorders. Quantitative real-time PCR (qPCR) is an accurate<br />
and sensitive technique used for gene expression analysis in<br />
which the expression level is quantified by normalization to<br />
one or more reference genes. Therefore, accurate data<br />
normalization is critical for validating results obtained by<br />
qPCR. This study aimed to identify genes that may serve as<br />
reference in postmortem dorsolateral–prefrontal cortices<br />
(Brodmann’s area 46) <strong>of</strong> schizophrenics, bipolar disorder<br />
(BPD) patients, and control subjects. In the exploratory stage<br />
<strong>of</strong> the analysis, samples <strong>of</strong> four BPD patients, two<br />
schizophrenics, and two controls were quantified using the<br />
TaqMan Low Density Array endogenous control panel,<br />
containing assays for 16 commonly used reference genes. In<br />
the next stage, six <strong>of</strong> these genes (TFRC, RPLP0, ACTB,<br />
POLR2a, B2M, and GAPDH) were quantified by qPCR in 12<br />
samples <strong>of</strong> each clinical group. Expressional stability <strong>of</strong> the<br />
genes was determined by GeNorm and NormFinder. TFRC<br />
and RPLP0 were the most stably expressed genes, whereas the<br />
commonly used 18S, POLR2a, and GAPDH were the least<br />
stable. This report stresses the importance <strong>of</strong> examining<br />
expressional stability <strong>of</strong> candidate reference genes in the<br />
specific sample collection to be analyzed.
127 COMPARISON OF FOUR CNV DETECTION<br />
PROGRAMS BASED ON GWAS DATA<br />
D. Zhang* (1), Y. Qian, N. Akula, F. McMahon , C. Liu, E.<br />
Gershon, Bipolar Genome Study (BiGS)<br />
1. University <strong>of</strong> Chicago<br />
* dandanz@uchicago.edu<br />
Methods for detecting Copy Number Variations (CNVs) using<br />
genome wide SNP arrays are frequently not consistent. We<br />
compared four CNV detection methods including Birdsuite,<br />
Partek, HelixTree, and PennCNV-Affy. We systematically<br />
assessed both rare and common CNVs in 1001 Bipolar cases<br />
and 1033 controls <strong>of</strong> European Ancestry from the Bipolar<br />
Genome Study (BiGS), and common CNVs in 270 HapMap<br />
samples. Quantitative real-time PCR (qPCR) was used to<br />
evaluate a subset <strong>of</strong> rare and common CNVs identified by the<br />
Affymetrix SNP 6.0 array in BiGs. For singleton deletions,<br />
Birdsuite and Partek had no false positive calls in our tested<br />
regions. At default parameters, HelixTree called twice as<br />
many singletons relative to the other methods, with the highest<br />
predictive error rate (>70%) by qPCR. For two common<br />
duplication regions, each program had a substantial predictive<br />
error rate (>=25%). For one common deletion region, qPCR<br />
validated all deletions called by Canary. However, the other<br />
three programs all had an unusually high error rate (>70%).<br />
We assessed the true detection rate <strong>of</strong> 893 independently<br />
discovered and validated CNVs from HapMap samples for<br />
each algorithm. Birdsuite is superior to the other three<br />
programs in the detection rate <strong>of</strong> known CNVs from HapMap<br />
samples. In conclusion, Birdsuite out-performed the other<br />
programs for singletons and common deletions. For common<br />
duplications, all programs had a substantial error rate.<br />
128 HISTONE GENE EXPRESSION PATTERNS IN<br />
DISCORDANT BIPOLAR SIBLINGS<br />
H. Chen (1), M. Burmeister (1), M. McInnis* (1)<br />
1. University <strong>of</strong> Michigan<br />
* mmcinnis@umich.edu<br />
Histones pr<strong>of</strong>oundly influence the structure <strong>of</strong> the<br />
chromosome and are subsequently likely to significantly affect<br />
the transcriptional activity <strong>of</strong> regional genes. We<br />
hypothesized that genes coding for histone proteins contribute<br />
to the genetic complexity <strong>of</strong> bipolar disorder. We studied the<br />
expression pattern <strong>of</strong> 20,589 gene transcripts in<br />
lymphoblastoid cell lines (LCL) from a sample <strong>of</strong> 24<br />
discordant bipolar sibling pairs, using the Illumina Bead chip<br />
technology (Human Refseq 8 V2). A paired t-statistic analysis<br />
identified a total <strong>of</strong> 91 genes with changed expression patterns<br />
in LCLs from bipolar individuals compared to their unaffected<br />
corresponding siblings (false discovery rate controlled at ~<br />
5%). It is striking that among the genes with significant<br />
expression changes, a systematic down regulation was<br />
observed in histone genes located on chromosomes 6p21 and<br />
1q21 in samples from patients compared to that from<br />
corresponding discordant sibling controls. Real time<br />
quantitative reverse transcriptional polymerase chain reaction<br />
assays confirmed the changes in five histone genes selected<br />
for validation. Genetic studies have suggested a bipolar<br />
disorder locus on 6p21. Our results suggest that down<br />
regulation <strong>of</strong> histone genes on 6p21 may contribute to the<br />
molecular biology <strong>of</strong> bipolar disorder.
130 INTEGRATED NEXT-GENERATION<br />
SEQUENCING AND ARRAY BASED ANALYSIS OF<br />
GENETIC MODIFIERS IN VELOCARDIOFACIAL<br />
SYNDROME (VCFS)<br />
A. Urban* (1), Y. Zhang (1), D. Palejev (1), R. Haraksingh<br />
(2), J. Korbel (3), M. Snyder (2), S. Weissman (1)<br />
1. Yale University Department <strong>of</strong> Genetics 2. Yale University<br />
MCDB Department 3. EMBL Heidelberg<br />
* alexander.e.urban@yale.edu<br />
Schizophrenia is a complex disease with a strong genetic<br />
component. Velocardi<strong>of</strong>acial Syndrome (VCFS) is typically<br />
caused by a 3 Mbp heterozygous deletion on chromosome<br />
22q11 and up to 30% <strong>of</strong> patients develop schizophrenia or<br />
similar symptoms. This makes VCFS a prime point <strong>of</strong> entry to<br />
understand the complex genetic etiology <strong>of</strong> schizophrenia.<br />
However, the search for the modifying genetic variants needed<br />
to differentiate the 30% <strong>of</strong> the patients with mental disease<br />
from the remaining 70%, with both groups carrying the 3 Mbp<br />
main deletion, has so far stayed incomplete. Earlier we used<br />
High-Resolution CGH (HR-CGH) on NimbleGen 385K<br />
custom arrays to show that the main deletion can substantially<br />
vary in size between patients [Urban, Korbel et al., PNAS 06]<br />
and that there are additional, smaller, CNVs to be found<br />
within the 3 Mbp deletion interval on the non-deleted<br />
chromosome [Korbel, Urban et al., PNAS 07]. Then we<br />
developed HR-PEM (paired-end mapping) [Korbel, Urban,<br />
Affourtit et al., Science 07] (also [Korbel et al., Genome Biol.,<br />
09]) for sequencing based high-resolution CNV analysis, and<br />
identified 22q11 as a hotspot for small CNV/SV. Here we<br />
report on the integrated genome-wide search for modifiers in<br />
VCFS using HR-CGH and HR-PEM in conjunction with array<br />
capture resequencing (ACRes). We are using a custom<br />
designed 385K NimbleGen longmer array to capture a 5 Mbp<br />
locus containing the VCFS region on chromosome 22q11 and<br />
a NimbleGen 2.1M longmer array to capture all exons in the<br />
human genome. We sequence the captured fractions on the<br />
Illumina Genome Analyzer 2, but using the paired-end<br />
protocol to enhance the power <strong>of</strong> detection and to reach out<br />
from the exons into their regulatory regions. Through this we<br />
can detect any type <strong>of</strong> genetic variant in the target regions,<br />
from single nucleotide changes to large CNV/SV, and we<br />
correlate and validate the results with HR-CGH data for the<br />
same samples. We have applied this approach to a panel <strong>of</strong><br />
VCFS patients, unaffected relatives and controls and have<br />
detected several hundred genetic variants. We also analyze<br />
genome-wide transcriptional activity in cell lines from the<br />
same VCFS patients, using Illumina GA2 based RNA-Seq to<br />
be able to detect intensity <strong>of</strong> expression as well as variable<br />
splicing, allele specific transcription and novel and non-exonic<br />
transcripts, and can now correlate the RNA-Seq data with the<br />
ACRes data on genetic variation.<br />
131 A COMBINED GENOME-WIDE ASSOCIATION<br />
ANALYSIS OF SCHIZOPHRENIA AND BIPOLAR<br />
DISORDER IN 20,000 INDIVIDUALS<br />
Douglas Ruderfer & Colm O’Dushlaine on behalf <strong>of</strong> the<br />
International Schizophrenia Consortium<br />
D. Ruderfer (1), C. O'dushlaine* (1), P. Sklar (1), S. Purcell<br />
(1)<br />
1. MGH<br />
* druderfer@chgr.mgh.harvard.edu<br />
Recent family and molecular genetic studies have provided<br />
strong evidence for a substantially shared genetic basis to<br />
schizophrenia (SCZ) and bipolar disorder (BP), the two major<br />
psychotic illnesses. This overlap suggests that a strategy <strong>of</strong><br />
combining genome-wide association study (GWAS) data from<br />
studies <strong>of</strong> both disorders, along with matched controls, could<br />
increase power to detect the shared common variants <strong>of</strong> small<br />
effect. We combined previously reported GWAS data on<br />
5,854 patients with schizophrenia, 4,737 with bipolar disorder<br />
and 9,303 controls from matching populations. We sought to<br />
identify genetic factors that are shared, and those that are<br />
unique to one <strong>of</strong> these two diseases, both at specific loci and at<br />
aggregate levels, including genes, pathways and genome-wide.<br />
We report results from a single SNP analysis for the combined<br />
phenotype (SCZ and BP versus controls) and a parallel<br />
analysis <strong>of</strong> SCZ versus BP, to search for disease-specific and<br />
modifier variants. A second set <strong>of</strong> analyses looked for<br />
co-occurrence <strong>of</strong> potentially distinct risk variants in similar<br />
genes and pathways, investigating the possibility that different<br />
risk alleles in the same gene or pathway may predispose to<br />
either SCZ or BP.
132 GENOME-WIDE SCREEN OF COPY NUMBER<br />
VARIANTS (CNVS) IN THE ADNI SAMPLE<br />
G. Guffanti* (1), F. Torri (2), J. Rasmussen (1), F. Kruggel<br />
(1), J. Turner (1), A. Lakatos (1), S. Potkin (1), F. Macciardi<br />
(1)<br />
1. University <strong>of</strong> California, Irvine 2. University <strong>of</strong> Milan<br />
* gguffant@uci.edu<br />
Alzheimer’s disease (AD) is the most common<br />
neurodegenerative disorder affecting more than 15 million<br />
people over the age <strong>of</strong> 65 worldwide. We present the results<br />
from a whole-genome Copy Number Variants (CNVs) study<br />
on the 818 subjects collected in the ADNI project. Our goal<br />
was to detect genomic structural copy-number variants that<br />
may increase the genetic susceptibility to developing AD.<br />
The ADNI sample was genotyped with more than 600,000<br />
SNPs using the Illumina Human610-Quad BeadChip. We<br />
identified CNVs by using Nexus, a CNV calling program that<br />
relies on SNP genotyping signal intensities. Identification <strong>of</strong><br />
events overlapping with previously reported CNVs was<br />
performed using the Database <strong>of</strong> Genomic Variants (Toronto).<br />
After both genotyping and CNV quality control procedures,<br />
we detected 11,694 CNVs in 638 subjects. The range <strong>of</strong><br />
frequencies <strong>of</strong> the CNVs we detected is in accordance with the<br />
trend (rarely more than 10%) reported in worldwide control<br />
populations (Jacobsson et al., 2008). We identified 10,135<br />
deletions, 1,647 <strong>of</strong> which are homozygous deletions, and<br />
1,559 duplications, including 6 high copies gain CNVs. We<br />
found only one region <strong>of</strong> overlapping segments homozygously<br />
deleted exclusively in MCI subjects. The gene affected by the<br />
deletion is ME3 that encodes the malic enzyme 3,<br />
NADP(+)-dependent, involved in the pathway <strong>of</strong> carbon<br />
fixation in the mitochondria metabolism. We previously<br />
identified another mitochondrial gene, TOMM40 associated<br />
with AD risk (Potkin et al., 2009). We present a<br />
comprehensive analysis <strong>of</strong> the structural variants that may<br />
contribute to the genetic susceptibility to AD.<br />
133 GENETIC POLYMORPHISM OF<br />
N-ACETYLTRANSFERASE 2 GENE IN KOREAN AND<br />
FOUR OTHER POPULATIONS<br />
H. Park* (1), T. Kand (1), H. Shin (1), H. Na (1), M. Chung<br />
(1)<br />
1. Korea Food and Drug Administration<br />
* hjpark@kfda.go.kr<br />
Background and objective : N-acetyltransferase 2 (NAT2) is<br />
responsible for inter-individual variations in the acetylation <strong>of</strong><br />
numerous drugs and in the transformation <strong>of</strong> aromatic and<br />
heterocyclic amines into carcinogenic intermediates. The aim<br />
<strong>of</strong> this study was to determine the allele frequencies <strong>of</strong><br />
polymorphisms <strong>of</strong> the NAT2 gene, analyze Linkage<br />
Disequilibrium (LD) block and haplotypes in Koreans and<br />
compare them with those <strong>of</strong> other ethnic groups. Methods :<br />
We analyzed genetic polymorphism in all functional promoter<br />
and exons <strong>of</strong> the NAT2 gene by direct sequencing <strong>of</strong> genomic<br />
DNA from 192 healthy Korean subjects; the LD and<br />
haplotypes blocks <strong>of</strong> these subjects were constructed from<br />
genotype data using an expectation-maximization algorithm.<br />
We compared these allele frequencies, LD block and<br />
haplotype structure with those <strong>of</strong> other ethnic groups<br />
registered on the International HapMap database. Results and<br />
discussion : We identified 33 polymorphisms including six<br />
novel single nucleotide polymorphisms(SNPs), -10778 T>C,<br />
-10777 A>G, -10351 A>G, -10199 C>T and -10104 G>T in<br />
promoter and 578 C>T in exon2(T193M) in the Korean<br />
subjects tested. All allele frequencies reported in the Koreans<br />
were similar to those <strong>of</strong> Asians except for one allele<br />
(rs4345600, -9306 A>G), whereas African and European<br />
Groups had different frequencies in exon2. The haplotype<br />
structure and LD block among the five groups also revealed<br />
significant differences. Conclusion : Ethnic differences in the<br />
NAT2 genotype frequencies may be one <strong>of</strong> the important<br />
factors that affect the cancer incidence and drug toxicity. Our<br />
current observations could be useful in assessing the<br />
susceptibility <strong>of</strong> different populations to the risk <strong>of</strong> cancer, as<br />
well as contribute to predicting the pharmacokinetics and<br />
pharmacodynamics <strong>of</strong> drugs that are metabolized by NAT2.
134 THE ASSOCIATIONS OF NONSYNONYMOUS<br />
SNPS IN CYP4A GENES WITH KOREAN STROKE<br />
PATIENTS<br />
J. Park* (1), Y. Bu (1), S. Park (1), J. Kim (1), S. Ko (1)<br />
1. Kyung-Hee University<br />
* suyahpark@gmail.com<br />
Stroke is affected by genetic factors as well as other diseases<br />
including hypertension and arteriosclerosis. However, the<br />
distinctive association with genetic variations is not<br />
discovered. Recently, 20-hydroxyeicosatetraenoic acid<br />
(20-HETE), which is produced from arachidonic acid by<br />
CYP4A family, has been reported to be associated with<br />
cerebral blood flow. Therefore, to investigate the association<br />
between genetic variations <strong>of</strong> CYP4A genes and stroke, this<br />
study genotyped five common nonsynonymous variants <strong>of</strong><br />
CYP4A11 and CYP4A22 in 674 stroke patients and 267<br />
controls. Each variant showed no significant association with<br />
stroke and its subtypes, such as hemorrhagic, ischemic and<br />
TOAST classification. However, a haplotype <strong>of</strong> CGC, which<br />
is composed <strong>of</strong> rs12564525C/T, rs2056900G/A,<br />
rs10789501T/C SNPs in CYP4A22, showed a significant high<br />
frequency in hemorrhagic group. In addition, it was found that<br />
the frequency <strong>of</strong> rs2056899A/T and rs10789501T/C <strong>of</strong><br />
CYP4A22 was lower than public database. Our findings<br />
suggest a possible association between the haplotype CGC <strong>of</strong><br />
CYP4A22 and hemorrhagic stroke. These results need further<br />
studies based on larger cohort group with stroke, and its<br />
functional study for the activity <strong>of</strong> haplotype CGC. This work<br />
was supported by the Second stage <strong>of</strong> Brain Korea 21 project<br />
in 2009.<br />
135 OLIGONUCLEOTIDE ARRAY FOR DETECTING<br />
LONG TANDEM REPEATS IN THE HUMAN GENOME<br />
L. Yu* (1), H. Bruce (1), G. Benson (2), R. Bannen (3), P.<br />
Warburton (4), T. Richmond (3), L. DeLisi (5), R. Margolis<br />
(1)<br />
1. Department <strong>of</strong> Psychiatry, Johns Hopkins University School<br />
<strong>of</strong> Medicine 2. Departments <strong>of</strong> Biology and Computer<br />
Science,Program in Bioinformatics,Boston University 3.<br />
Reseach Informatics ar NimbleGen Systems Inc. 4.<br />
Department <strong>of</strong> Genetics and Genomic Sciences,Mount Sinai<br />
School <strong>of</strong> Medicine 5. Department <strong>of</strong> Psychiatry, New York<br />
University<br />
* lyu17@jhmi.edu<br />
At least 12% <strong>of</strong> the human genome is subject to variations in<br />
copy number. The scope <strong>of</strong> variation ranges from single bp<br />
insertions and deletions to duplications and deletions <strong>of</strong> whole<br />
chromosomes. Our emphasis here is on tandem repeats. Short<br />
tandem repeats with repeating units <strong>of</strong> about 2-12 bp in length<br />
have emerged both as powerful markers for linkage studies<br />
and as mutations causing a number <strong>of</strong> human diseases. We<br />
hypothesize that polymorphisms <strong>of</strong> longer tandem repeats<br />
(unit length <strong>of</strong> 50 bp to >150,000 bp), relatively unexplored<br />
features <strong>of</strong> the human genome, may also contribute to normal<br />
human variation and to disease, including schizophrenia. To<br />
systematically address this issue, we developed an<br />
oligonucleotide array specifically designed to detect changes<br />
in repeating units in 2977 tandem repeats with a mean length<br />
<strong>of</strong> 4143 bp, using the Roche Nimblegen singleplex<br />
Comparative Genomic Hybridization (CGH) oligonucleotide<br />
platform. Validation by PCR confirmed the capacity <strong>of</strong> this<br />
array to detect repeat length variation. We now report the<br />
development <strong>of</strong> a second generation array, using the Roche<br />
Nimblegen 12X135K platform, designed to increase the<br />
number <strong>of</strong> repeats assessed and improve hybridization<br />
efficiency. This new array examines 4064 repeats with units a<br />
minimum <strong>of</strong> 50 bp in length and <strong>of</strong> at least 95% identity.<br />
Once validated, this array will provide a new tool for the<br />
discovery <strong>of</strong> genetic factors contributing to the etiology <strong>of</strong><br />
schizophrenia and other complex diseases.
HIGH THROUGHOUT SEQUENCING<br />
136 454 BASED SEQUENCING ANALYSIS OF THE<br />
DISC1 PATHWAY IN SCHIZOPHRENIA PATIENTS<br />
L. Moens (1,2), P. De Rijk (1,2), K. Norrback (3), D.<br />
Goossens (1,2), R. Adolfsson (3), J. Del-Favero* (1,2)<br />
1. 1Applied Molecular Genomics Group, VIB Department <strong>of</strong><br />
Molecular Genetics, Belgium 2. University <strong>of</strong> Antwerp (UA),<br />
Antwerpen, Belgium 3. Department <strong>of</strong> Clinical Sciences,<br />
Division <strong>of</strong> Psychiatry, University <strong>of</strong> Umeå, Sweden<br />
* jurgen.delfavero@molgen.vib-ua.be<br />
Schizophrenia(SZ) is among the most common disabling brain<br />
diseases worldwide, and its predisposition is influenced by a<br />
complex interplay between genetic and environmental factors.<br />
Despite major efforts during the last decade to identify risk<br />
genes for SZ, only a handful <strong>of</strong> candidate genes could be<br />
replicated in independent studies, and even a smaller number<br />
demonstrated a clear biological support. A recent and<br />
promising exception is Disrupted in Schizophrenia 1 (DISC1),<br />
originally identified via a balanced chromosomal translocation<br />
in a Scottish pedigree. Since then, compelling genetic and<br />
functional evidence has been accumulating, and several<br />
DISC1 interactors have been identified as independent genetic<br />
susceptibility factors for psychiatric illness, indicating that<br />
a‘DISC1 pathway’ is involved in the etiology <strong>of</strong> psychiatric<br />
diseases. To investigate the involvement <strong>of</strong> the ‘DISC1<br />
pathway’ in the etiology <strong>of</strong> SZ, we conducted an extensive<br />
sequence analysis <strong>of</strong> DISC1and 10 known interaction partners.<br />
Hereto, we applied a multiplex PCR based targeted pooled<br />
sample sequencing strategy, using the 454 platform. 4 DNA<br />
pools were sequenced (2 patient pools and 2 control pools),<br />
each consisting <strong>of</strong> 40 DNA samples. Variant detection and<br />
annotation was done using an in-house developed s<strong>of</strong>tware<br />
program designed to handle 454 data in pooled samples.<br />
Obtained variants were verified and their frequency<br />
determined by MassArray based genotyping. Although no<br />
obvious difference in (rare) variation load between<br />
schizophrenia patients and control individuals was observed,<br />
we did identify some rare potentially etiological variants.<br />
Furthermore, our results show that sequencing <strong>of</strong> pooled<br />
samples is a valuable strategy for simultaneous rare variant<br />
discovery and frequency estimation.<br />
MOOD DISORDERS<br />
137 ASSOCIATION OF MANIA AND<br />
HYPOTHYROIDISM<br />
D. Khemka* (1), J. Ali (1)<br />
1. University Of Mississippi <strong>Medical</strong> Center<br />
* dkhemka@psychiatry.umsmed.edu<br />
In the differential diagnosis <strong>of</strong> mood disorders thyroid<br />
abnormalities rank high on the list <strong>of</strong> medical conditions to be<br />
ruled out in clinical practice. The classic associations are<br />
bipolar disorder with hyperthyroidism and depression with<br />
hypothyroidism. Recently we encountered two patients who<br />
presented with mania in the presence <strong>of</strong> persisting<br />
hypothyroidism. This prompted us to conduct a literature<br />
review using Pub Med and Medline on a possible association.<br />
Nine case reports were identified in the period from 1980<br />
-2007. Analyses <strong>of</strong> these show the following associations:<br />
1) Mania and hypothyroidism were reported mostly in<br />
females; there is only one case report <strong>of</strong> a male with<br />
hypothyroidism and co-occurring mania; 2) Rapid cycling and<br />
hypothyroidism were reported more in females (consistent<br />
with established data); 3) Treatment generally involved using<br />
thyroid replacement (usually Levothyroxine).<br />
No specific mechanism(s) underlying the association <strong>of</strong><br />
thyroid dysfunction and bipolar disorder were clearly<br />
identified. In addition, no data is available on ethnic and<br />
cultural variation. Further investigations to better understand<br />
this association both from an etiological and therapeutic<br />
perspectives are needed.
138 COMMON VARIANTS IN THE B3 NICOTINIC<br />
RECEPTOR ARE ASSOCIATED WITH BIPOLAR<br />
DISORDER, SCHIZOPHRENIA, AND NICOTINE<br />
DEPENDENCE<br />
S. Hartz* (1), P. Lin (2), N. Rochberg (1), S. Saccone (1), W.<br />
Berrettini (3), H. Edenberg (4), E. Nelson (1), J. Nurnberger<br />
(4), L. Bierut (1), J. Rice (1)<br />
1. Department <strong>of</strong> Psychiatry, Washington University 2.<br />
Biology & Biomedical Sciences, Washington University 3.<br />
Department <strong>of</strong> Psychiatry, University <strong>of</strong> Pennsylvania 4.<br />
Department <strong>of</strong> Psychiatry, Indiana University School <strong>of</strong><br />
Medicine<br />
* hartzs@wustl.edu<br />
Objective: Based on published associations between nicotine<br />
dependence and nicotinic receptor subunits, we investigated<br />
the association <strong>of</strong> schizophrenia and bipolar disorder with<br />
nicotinic receptor subunits. Method: Our primary sample<br />
consisted <strong>of</strong> 916 European American (EA) cases with bipolar<br />
disorder, and 1028 EA controls. Based on known associations<br />
with nicotine dependence, we genotyped 8 SNPs on<br />
chromosome 8 (3 bins) in the regions <strong>of</strong> CHRNB3 and<br />
CHRNA6, and 6 SNPs on chromosome 15 (3 bins) in the<br />
regions <strong>of</strong> CHRNA5 and CHRNA3. Two African American<br />
(AA) samples were used for validation: 389 subjects with<br />
bipolar disorder and 671 controls, and 921 subjects with<br />
schizophrenia and 941 controls. Results: Two highly<br />
correlated synonymous SNPs in CHRNB3, rs4952 and rs4953,<br />
were significantly associated with bipolar disorder (OR 1.74,<br />
95% CI (1.2, 2.4), p=0.001). This association remained<br />
significant both after adjusting for a smoking covariate and<br />
analyzing the association in non-smokers only. Two SNP bins<br />
(tagged by rs13439479 and rs7824160, r2=0.4 between the<br />
two bins in Africans) in high LD (r2=1) with rs4952 in EA<br />
were imputed in AA for both the bipolar and schizophrenia<br />
samples. The association with bipolar disorder was validated<br />
with rs13439479 (OR 1.78, p=0.007). An association with<br />
schizophrenia was found with rs7824160 (OR 1.26, p=0.046).<br />
Conclusions: Our results suggest that the β3 nicotinic receptor<br />
subunit is associated with schizophrenia and bipolar disorder<br />
in addition to its known association with nicotine dependence.<br />
139 PREVALENCE OF DEPRESSION AND SOME<br />
RELATED FACTORS AMONG DIABETIC PATIENTS<br />
AT PHC/ DUBAI-UAE<br />
H. Hussain* (1), Z. Kerem (1)<br />
1. Dubai Department <strong>of</strong> Health and <strong>Medical</strong> Services<br />
*hyHussain@dha.gov.ae<br />
Recognition <strong>of</strong> depression may be troublesome among patients<br />
with diabetes due to the overlap <strong>of</strong> symptoms, Co morbid<br />
diabetes and depression may result in poor clinical outcomes,<br />
impaired health status, economic burden, increased health care<br />
utilization, and poor self-care behaviors .Objective: To study<br />
the prevalence rate <strong>of</strong> depression among adults with diabetes<br />
attending Jabal Ali Health center & assess some associated<br />
factors. Materials & Methods: A cross sectional study has<br />
been carried out to identify the prevalence <strong>of</strong> Depression<br />
among DM patients, Systematic Random sample has been<br />
used for this study, no <strong>of</strong> patients selected for the study was<br />
114 out <strong>of</strong> total no <strong>of</strong> diabetic patients in JAC (341), Interview<br />
questionnaire using Patient health questionnaire ((PHQ9)) was<br />
used from the period 5th November 2007 – 3d march 2008 in<br />
Dubai/UAE. Results: (12) patients found to have depression<br />
out <strong>of</strong> total sample (114) examined, with a prevalence rate <strong>of</strong><br />
(11%), all case were mild to moderate depression with score<br />
ranging from (5-14/27), all cases were middle age group<br />
persons Age (20 – 55) years old, depression was significantly<br />
associated with glycemic control factor, the mean <strong>of</strong> glycemic<br />
control (HbA1C > .8.8%) among depressed in comparison<br />
with non depressed patient (HbA1C .7%) P
140 CYTOCHROME P450 CYP1A2, CYP2C9, CYP2C19<br />
AND CYP2D6 GENESARE NOT ASSOCIATED WITH<br />
RESPONSE AND REMISSION IN A SAMPLE OF<br />
DEPRESSIVE PATIENTS<br />
R. Calati* (1), I. Massat (2), S. Linotte (2), S. Kasper (3), Y.<br />
Lecrubier (4), R. Sens-Espel (5), J. Bollen (6), J. Zohar (7), J.<br />
Berlo (5), P. Lienard (5), D. De Ronchi (8), J. Mendlewicz (2),<br />
D. Souery (9), A. Serretti (1)<br />
1. Institute <strong>of</strong> Psychiatry, University <strong>of</strong> Bologna, Bologna,<br />
Italy 2. Université Libre de Bruxelles, Brussels, Belgium<br />
3. Department <strong>of</strong> General Psychiatry, <strong>Medical</strong> University<br />
Vienna, Austria 4. Hôpital la Salpetriere, INSERM U302,<br />
Paris, France 5. DNA Vision sa, Charleroi, Belgium<br />
6. Sint-Truiden, Psychiatric center, Sint-Truiden, Belgium<br />
7. Chaim Sheba <strong>Medical</strong> Center, Tel-Hashomer, Israel<br />
8. Institute <strong>of</strong> Psychiatry, University <strong>of</strong> Bologna, Bologna,<br />
Italy 9. Laboratoire de Psychologie Médicale, Université Libre<br />
de Bruxelles and Psy Pluriel, Centre Européen de Psychologie<br />
Médicale, Brussels, Belgium<br />
* raffaella.calati@unibo.it<br />
Cytochrome P450 genes are involved in the oxidative<br />
metabolism <strong>of</strong> antidepressants and have been hypothesized to<br />
be implicated in treatment response. The aim <strong>of</strong> the present<br />
study was to investigate the role <strong>of</strong> the allelic variations <strong>of</strong> the<br />
cytochrome P450 CYP1A2, CYP2C9, CYP2C19 and<br />
CYP2D6 genes in antidepressant treatment response and<br />
remission rates. Two hundred and seventy-eight patients<br />
(mean age: 58.77±14.67 years; female/male: 206/72) affected<br />
by major depression, responders (N=81) and non-responders<br />
(N=197) to at least one adequate antidepressant treatment,<br />
were recruited with a multicenter design for resistant<br />
depression and genotyped for all relevant variations.<br />
Genotypes were also pooled in activity pr<strong>of</strong>iles according to<br />
the literature (as an example, for the CYP2D6 gene pr<strong>of</strong>iles<br />
were poor, intermediate, extensive, and ultra-rapid). Using the<br />
General Linear Model and covariating for age and gender, the<br />
metabolic pr<strong>of</strong>iles <strong>of</strong> the genes were not associated with<br />
response and remission in the whole sample. However<br />
metabolic pr<strong>of</strong>ile <strong>of</strong> antidepressants differ, therefore, we<br />
repeated the analysis including as covariant the classes <strong>of</strong><br />
antidepressant with evidence <strong>of</strong> being metabolized by each<br />
specific cytochrome but no association was found as well. The<br />
investigated cytochrome genes do not seem to play a major<br />
role in antidepressant response in the present sample <strong>of</strong><br />
depressive patients. Nevertheless, methodological and sample<br />
size limitations <strong>of</strong> this study do not allow to provide definitive<br />
conclusions.<br />
141 HERITABILITY OF BIG FIVE PERSONALITY<br />
FACTORS IN MULTIPLEX FAMILIES WITH<br />
BIPOLAR DISORDER<br />
E. Hare* (1), J. Contreras (2), H. Raventos (2), R. Mendoza<br />
(3), D. Flores (4), A. Jerez (4), H. Nicolini (5), A. Ontiveros<br />
(6)<br />
1. University <strong>of</strong> Texas Health Science Center, San Antonio<br />
2. School <strong>of</strong> Biology and Center for Cellular and Molecular<br />
Biological Studies, University <strong>of</strong> Costa Rica 3. LABIOMED,<br />
UCLA 4. Centro Internacional de Trastornos Afectivos y<br />
Comportamiento Adictivo (CITACA),Guatemala City<br />
5. Grupo de Estudios Medicos y Familiares Carracci,<br />
S.C.,Mexico City 6. INFOSAME,Monterrey, Mexico.<br />
* hare@uthscsa.edu<br />
Associations have been observed between bipolar disorder and<br />
personality traits such as openness to experience and<br />
extraversion. In this study, 136 families including 351<br />
individuals with bipolar disorder I and their family members<br />
(1148 total subjects) took the short form <strong>of</strong> the NEO-PI-R.<br />
Best-estimate diagnosis <strong>of</strong> bipolar I was made using the<br />
Diagnostic Interview for Genetic Studies, Family Interview<br />
for Genetic Studies, and the patients' medical records.<br />
Heritabilities were 0.28, 0.23, 0.24, 0.20, and 0.35 for<br />
Agreeableness, Conscientiousness, Extroversion, Neuroticism,<br />
and Openness to Experience, respectively. Genetic<br />
correlations between Big Five factors ranged from -0.81 for<br />
Conscientiousness and Neuroticism to 0.77 for<br />
Conscientiousness and Extraversion. The genetic correlation<br />
between affectation with bipolar I and Extraversion was -0.32,<br />
suggesting that common genetic factors affect the<br />
development <strong>of</strong> bipolar I and introverted personality. Future<br />
linkage and association analyses in this population are likely<br />
to locate genomic regions associated with these traits,<br />
ultimately leading to the identification <strong>of</strong> genes and<br />
biochemical pathways involved in the development <strong>of</strong> bipolar<br />
disorder and introverted personality.
142 CNV-DISCOVERY IN LINKAGE REGIONS FOR<br />
BIPOLAR AFFECTIVE DISORDER<br />
M. Lekman* (1), R. Karlsson (2), L. Graae (2), A. Carmine<br />
Belin (2), D. Galter (2), I. Kockum (1), S. Paddock (2)<br />
1. Dept. <strong>of</strong> Clinical Neuroscience 2. Dept. <strong>of</strong> Neuroscience<br />
* magnus.lekman@ki.se<br />
The aim <strong>of</strong> the present study was to analyze whether linkage<br />
regions may harbor copy number variants with high<br />
penetrance for the susceptibility <strong>of</strong> bipolar affective disorder<br />
(BPAD). We carried out a combined whole-genome SNP and<br />
CNV-analysis to correlate linkage scores with CNV contents.<br />
Families were selected from 648 pedigrees (NIMH waves<br />
I-IV) based on genome-wide parametric linkage analysis using<br />
microsatellites. 277 individuals from 48 families were<br />
included in our study and genotyped on the Human610-Quad<br />
BeadChip-platform. Quality-control was performed to remove<br />
poorly performing SNPs or SNPs located in regions <strong>of</strong> CNVs<br />
(for calculating linkage scores). Only markers in linkage<br />
equilibrium were included in the linkage analysis. CNV<br />
detection was carried out using all 620,000 markers. Samples<br />
with a standard deviation for the LogR ratio <strong>of</strong> more than 0.3<br />
were re-genotyped. For the final analysis, all samples had a<br />
standard deviation <strong>of</strong> the LogR-ratio less than 0.3. Our<br />
preliminary CNV-discovery identified 12,935 CNVs<br />
(PennCNV). Obvious cell-culture artifacts (e.g., trisomies)<br />
were excluded from further analyses. Multipoint linkage<br />
analysis (NPL-all) was performed under three different<br />
affection status models (Merlin). Before weighted for CNVs,<br />
maximum linkage regions were identified on chromosome 3p<br />
(non-parametric LOD>2.75) and 18q (non-parametric<br />
LOD>2.3), with several additional, lower peaks in other<br />
regions. CNVs passing the calling-filter are currently<br />
correlated with the sum <strong>of</strong> family-wise linkage scores and<br />
further analyzed by functional studies regarding their possible<br />
significance in BPAD susceptibility.<br />
143 GENETIC OVERLAP BETWEEN BODY MASS<br />
INDEX (BMI) AND RECURRENT DEPRESSION<br />
M. Rivera* (1), S. Cohen-Woods (1), A. Schosser (1,2), K.<br />
Aitchison (1), G. Breen (1), A. Butler (1), N. Craddock (3), M.<br />
Gill (4), A. Korszun (5), C. Lewis (1,6), W. Maier (7), O.<br />
Mors (8), M. Ng (1), M. Owen (3), K. Pirlo (1), M. Preisig (9),<br />
J. Rice (10), M. Rietschel (11), R. Uher (1), I. Craig (1), A.<br />
Farmer (1), P. McGuffin (1)<br />
1. MRC SGDP Centre, Institute <strong>of</strong> Psychiatry, King's College<br />
London. 2. Psychotherapy, <strong>Medical</strong> University Vienna,<br />
Austria. 3. Department <strong>of</strong> Psychological Medicine, School <strong>of</strong><br />
Medicine, Cardiff University, Cardiff CF10 3XQ, UK. 4.<br />
Department <strong>of</strong> Psychiatry, Trinity Centre for Health Sciences,<br />
Dublin 8, Ireland. 5. Barts and The London, Queen Mary’s<br />
School <strong>of</strong> Medicine and Dentistry, London E1 4NS, UK. 6.<br />
Molecular Genetics, School <strong>of</strong> Medicine, King’s College<br />
London. 7. Department <strong>of</strong> Psychiatry, University <strong>of</strong> Bonn,<br />
53127 Bonn, Germany. 8. Department <strong>of</strong> Psychiatry,<br />
University <strong>of</strong> Aarhus, DK-8000 Aarhus, Denmark. 9.<br />
Department <strong>of</strong> Adult Psychiatry, University Hospital <strong>of</strong><br />
Lausanne, 1008 Prilly-Lausanne, Switzerland. 10. Department<br />
<strong>of</strong> Psychiatry, Washington University, St Louis, MO 63130,<br />
USA. 11. Central Institute <strong>of</strong> Mental Health, 68159<br />
Mannheim, Germany.<br />
* margarita.rivera_sanchez@kcl.ac.uk<br />
There is growing evidence suggesting that rates <strong>of</strong> physical<br />
disease, such as obesity, are much higher among people with<br />
depression. Some recent studies support the hypothesis that<br />
there may be shared aetiological factors between recurrent<br />
unipolar depression, obesity and physical disorders. We aimed<br />
to investigate genetic overlap between Body Mass Index<br />
(BMI) and recurrent unipolar depression (UPD). The sample<br />
consists <strong>of</strong> 2628 depression cases and 1023 controls<br />
from several studies; Depression Case-Control (DeCC) study,<br />
Bipolar Association Case-Control (BACC) study, Depression<br />
Network (DeNT) study and the Genome Based Therapeutic<br />
Drugs for Depression (GENDEP) study. The sample is part <strong>of</strong><br />
a genome-wide association study (GWAS) <strong>of</strong> unipolar<br />
depression carried out by The Depression Consortium at the<br />
SGDP Centre, Institute <strong>of</strong> Psychiatry. DSM-IV/ICD-10<br />
depression phenotypes were ascertained using SCAN<br />
interview. Controls individuals were screened for absence <strong>of</strong><br />
psychiatric disorder. Furthermore, a wealth <strong>of</strong> detailed data on<br />
chronic, co-morbid physical diseases such as obesity, diabetes,<br />
heart disease and migraine in both the cases and the controls<br />
has been collected. These individuals were genotyped by CNG<br />
(Paris) using Illumina 610 Quad array platform. We also<br />
examined in detail known “obesity genes” FTO and MC4R in<br />
depression cases and controls. Statistical analyses <strong>of</strong><br />
association between these SNPs and obesity and depression<br />
was undertaken using PLINK.
144 LONGITUDINAL ASSOCIATIONS BETWEEN<br />
ANXIETY SENSITIVITY, ANXIETY AND<br />
DEPRESSION USING A GENETICALLY SENSITIVE<br />
DESIGN<br />
H. Zavos* (1), F. Rijsdijk (1), T. Eley (1)<br />
1. Social, Genetic, & Developmental Psychiatry Centre,<br />
Institute <strong>of</strong> Psychiatry, King’s College London<br />
*helena.zavos@kcl.ac.uk<br />
Anxiety and depression have a high incidence <strong>of</strong> co-morbidity<br />
and are commonly occurring problems in childhood and<br />
adolescence. Research has shown that the short variant <strong>of</strong> the<br />
5HTTLPR reduces the transcriptional efficiency <strong>of</strong> the<br />
serotonin transporter gene and is associated with both anxiety<br />
and depression. Anxiety sensitivity, the fear <strong>of</strong> anxiety related<br />
sensations, is a cognitive bias which has been associated with,<br />
and is predictive <strong>of</strong> anxiety in childhood, adolescence and<br />
adulthood. Previous research has also shown that anxiety<br />
sensitivity is both phenotypically and genetically correlated<br />
with depression. Our aim was to look at the relationships<br />
between these variables developmentally to better understand<br />
the direction <strong>of</strong> effects between them over the adolescent<br />
period and given the high genetic correlation between<br />
variables, look at associations between 5HTTLPR and a factor<br />
score <strong>of</strong> the 3 variables. Longitudinal associations between<br />
anxiety sensitivity, anxiety and depression were examined<br />
using a genetic cross-lagged model. This model estimates<br />
phenotypic causal effects <strong>of</strong> all variables on one another,<br />
while controlling for concurrent (genetic and environmental)<br />
associates between them. Analysis was conducted on 2-wave<br />
sibling and twin data from the G1219 study (mean age 15<br />
years at wave 1 and 17 years at wave 2). Genotyping <strong>of</strong><br />
5HTTLPR was performed <strong>of</strong> 1,467 individuals from the same<br />
sample. Our data suggests that early depression leads to later<br />
anxiety but that there is bi-directional relationship between<br />
anxiety sensitivity and anxiety and depression. Effects <strong>of</strong><br />
genes were more stable over time whereas environmental<br />
effects were more time specific.<br />
145 NEW CANDIDATE GENES FOR BIPOLAR<br />
DISORDER ARE REPLICATED IN SCANDINAVIAN<br />
SAMPLES<br />
M. Tesli* (1)<br />
1. Institute <strong>of</strong> Psychiatry, University <strong>of</strong> Oslo, Department <strong>of</strong><br />
Psychiatry, Oslo University Hospital<br />
*m.s.tesli@medisin.uio.no<br />
Bipolar disorder (BD) has a complex and important genetic<br />
component. Many genes, each with a limited effect, are<br />
believed to interact with each other and with environmental<br />
factors, to give rise to the disorder. Recent Genome-wide<br />
association studies (GWAS) have found association between<br />
variants <strong>of</strong> PALB2, ANK3 and BD. We wanted to replicate<br />
these findings in Scandinavian samples. In a replication study<br />
<strong>of</strong> PALB2 (n=787 cases/2862 controls), the preliminary<br />
results showed a significant association with BD in our<br />
Scandinavian sample (P=0.0058 after 100000 permutations).<br />
This was followed by investigations <strong>of</strong> BRCA2, a gene which<br />
function is closely related to that <strong>of</strong> PALB2, where the<br />
preliminary results showed a significant association with BD<br />
(P=0.0088 after Bonferroni correction). These findings<br />
support PALB2 and BRCA2 as risk genes specifically for BD,<br />
and suggest that dysfunctional DNA repair mechanism could<br />
be involved in BD pathophysiology. The preliminary analysis<br />
<strong>of</strong> ANK3 showed evidence <strong>of</strong> nominally significant<br />
association between 14 <strong>of</strong> 111 ANK3 SNPs and BD in a<br />
Norwegian case-control sample (n=182 cases/353 controls),<br />
with a lowest nominal P-value <strong>of</strong> 0.003. Due to increasing<br />
evidence <strong>of</strong> genetic overlap between BD and schizophrenia<br />
(SCZ), we also genotyped these ANK3 SNPs in 230 SCZ<br />
cases, and found 22 SNPs to be nominally significantly<br />
associated with SCZ (lowest nominal P-value=0.0004). These<br />
findings give further support to ANK3 being a BD<br />
susceptibility gene and to the hypothesis <strong>of</strong> overlapping risk<br />
genes between BD and SCZ.
146 COMT, INHIBITION, AND FUNCTIONAL<br />
ABILITY IN MANIC BIPOLAR DISORDER<br />
A. Minassian* (1), J. Kelsoe (1), M. Geyer (1), E. Twamley<br />
(1), W. Perry (1)<br />
1. U.C. San Diego Department <strong>of</strong> Psychiatry<br />
*aminassian@ucsd.edu<br />
Dysregulation <strong>of</strong> the dopaminergic (DA) system causes<br />
impairments in the adaptive function <strong>of</strong> inhibition and is<br />
thought to contribute to Bipolar Disorder (BD). The Valine<br />
(Val) allele <strong>of</strong> the catechol-O-methyltransferase (COMT)<br />
Val158Met polymorphism putatively reflects a genetic<br />
propensity for DA underactivity in the frontal cortex and is<br />
associated with the most pr<strong>of</strong>ound inhibitory and daily<br />
functioning deficits in schizophrenia patients. In BD,<br />
however, little is known about whether a genetic<br />
predisposition towards altered frontal DA activity may<br />
influence the ability to complete daily activities. The presence<br />
<strong>of</strong> inhibitory deficits may even mediate the relationship<br />
between genes and functional ability. We obtained COMT<br />
genotypes on acutely ill manic BD patients who were<br />
administered the <strong>UCSD</strong> Performance-Based Skills Assessment<br />
(UPSA-2), a role-play-based measure <strong>of</strong> functioning. Subjects<br />
underwent testing in the human Behavioral Pattern Monitor<br />
(hBPM), which quantifies exploratory activity. Val<br />
homozygote manic BD patients had lower total UPSA scores<br />
than did Methionine (Met) homozygotes, as well as trends<br />
towards lower UPSA Comprehension/Planning and<br />
Communication subscale scores. Moreover, worse UPSA-2<br />
performance was associated with restricted, perseverative<br />
exploration in the hBPM (r = -.87, p < .01). These preliminary<br />
findings are consistent with our hypothesis that inhibitory<br />
deficits such as perseverative behavior may influence the<br />
relationship between genes and real-world functional ability.<br />
The simultaneous study <strong>of</strong> genotypes and cognition might<br />
yield a compelling model to explain variations in functional<br />
ability in the BD population and identify the factors that make<br />
these individuals most vulnerable to impairments in<br />
day-to-day functioning.<br />
147 DEPRESSION IS INFLUENCED BY MANY<br />
COMMON GENETIC VARIANTS WITH SMALL<br />
EFFECT PARTLY SHARED WITH ANXIETY<br />
C. Middeldorp* (1), A. demirkan (2), N. Wray (3), P.<br />
Sullivan (4), J. Hottenga (5), C. Janssens (2), B. Oostra (2), G.<br />
Willemsen (5), E. de Geus (5), R. van Dyck (6), Y. Aulchenko<br />
(2), W. Nolen (6), F. Zitman (7), D. Boomsma (5), B. Penninx<br />
(8), C. van Duijn (2)<br />
1. Biological Psychology, VU University Amsterdam, De<br />
Bascule, Academic Center for Child and Adolescent<br />
Psychiatry 2. Departments <strong>of</strong> Epidemiology and Clinical<br />
Genetics, Erasmus University <strong>Medical</strong> Center Rotterdam 3.<br />
Genetic Epidemiology, Queensland Institute <strong>of</strong> <strong>Medical</strong><br />
Research 4. Departments <strong>of</strong> Genetics and Psychiatry,<br />
University <strong>of</strong> North Carolina 5. Biological Psychology, VU<br />
University Amsterdam 6. Department <strong>of</strong> Psychiatry,<br />
University <strong>Medical</strong> Center Groningen 7. Department <strong>of</strong><br />
Psychiatry, Leiden University <strong>Medical</strong> Center 8. Departments<br />
<strong>of</strong> Psychiatry, VU University <strong>Medical</strong> Center Amsterdam,<br />
University <strong>Medical</strong> Center Groningen, Leiden University<br />
<strong>Medical</strong> Center<br />
*cm.middeldorp@psy.vu.nl<br />
Recently, with the use <strong>of</strong> Genome Wide Association Study<br />
(GWAS) data, it has been shown that a substantial polygenic<br />
component contributes to the risk for schizophrenia (ISC,<br />
Nature, 2009). In addition, bipolar disorder appears to be<br />
influenced by the same polygenic component. The genetic<br />
architecture <strong>of</strong> depression and anxiety was investigated in a<br />
similar way using genetic scores, based on GWAS results in<br />
one set, to predict depression and anxiety in another set. The<br />
Dutch discovery set consisted <strong>of</strong> 1738 subjects with<br />
depression (MDD) and 1803 controls with over 400,000 SNPs<br />
genotyped (Sullivan et al., Molecular Psychiatry, 2008). The<br />
prediction set was another Dutch sample (ERF) consisting <strong>of</strong><br />
~1890 subjects who completed the Hospital Anxiety and<br />
Depression Scale (HADS) and the Center for Epidemiological<br />
Studies – Depression scale (CES-D) questionnaires. SNPs<br />
were selected based on the p-values
148 COMMINGLING ANALYSIS OF THE<br />
AGE-OF-ONSET IN BIPOLAR I DISORDER: TWO OR<br />
THREE CURVE MIXTURE?<br />
M. Grigoroiu-Serbanescu* (1), M. Rietschel (2), T. Paul (2),<br />
T. Schulze (3), M. Noethen (4), S. Cichon (4), R. Elston (5)<br />
1. Biometric Psychiatric Genetics Research Unit, Alexandru<br />
Obregia Psychiatric Hospital, Bucharest, Romania 2. Dept.<br />
Genetic Epidemiology in Psychiatry, Central Institute <strong>of</strong><br />
Mental Health, Mannheim, Germany 3. Unit on the Genetic<br />
Basis <strong>of</strong> Mood and Anxiety Disorders, National Institute <strong>of</strong><br />
Mental Health, National Institutes <strong>of</strong> Health, US Department<br />
<strong>of</strong> Health and Human Services, Bethesda, MD, USA 4.<br />
Institute <strong>of</strong> Human Genetics and Dept. <strong>of</strong> Genomics, Life and<br />
Brain Center, University <strong>of</strong> Bonn, Bonn, Germany 5. Dept.<br />
Epidemiology and Biostatistics, Case WesternReserve<br />
University School <strong>of</strong> Medicine, Cleveland, Ohio, USA<br />
*maria.serbanescu@web.de<br />
Age-<strong>of</strong>-onset (AO) seems to be a phenotypic variable with a<br />
strong genetic component and therefore useful in molecular<br />
analysis <strong>of</strong> bipolar disorder (BP). A debate about the cut-<strong>of</strong>f<br />
point for defining early AO has developed over the last few<br />
years. Using an Expectation-Maximization algorithm Bellivier<br />
et al (2001) found the best fit for a model with three<br />
onset-groups, proposing the age 20-21 as cut-<strong>of</strong>f for early<br />
onset, while using finite mixture models Kennedy et al (2005)<br />
found the best fit for a two onset-group model with age 40 as<br />
cut-<strong>of</strong>f and an incidence peak for mania in the age-band 21-25.<br />
Based on segregation analysis, we proposed a two AO-group<br />
model with cut-<strong>of</strong>f age 25 for early onset<br />
(Grigoroiu-Serbanescu et al. 2001). The present study aimed<br />
at investigating the best AO-model in 468 Romanian BPI and<br />
1458 German BPI patients using commingling analysis<br />
(SAGEv6.01-s<strong>of</strong>tware) (Elston et al, 2009). The best model<br />
was selected according to Akaike’s A Information Criterion<br />
(AIC). Results: The two and three AO-group models provided<br />
similar AIC-values both in the Romanian and the German<br />
sample. The means were 18 years (SD=7) in the Romanian<br />
early-onset group (40% <strong>of</strong> cases) and 20 years (SD=9) in the<br />
German early-onset group (50% <strong>of</strong> cases). Thus the cut-<strong>of</strong>f for<br />
early-onset (X + 1 SD) was different.Conclusion: Our results<br />
overlapped with the findings <strong>of</strong> Kennedy et al (2005) showing<br />
that two-curve and three-curve AO mixtures similarly fit the<br />
AO-distribution in BPI disorder and the cut-<strong>of</strong>fs for<br />
early-onset differ by sample.<br />
149 NON-PSYCHOTIC BIPOLAR I DISORDER<br />
ASSOCIATED WITH G72 GENE IN A ROMANIAN<br />
SAMPLE<br />
M. Grigoroiu-Serbanescu* (1), C. Diaconu (2), S. Herms<br />
(3), C. Bleotu (2), A. Neagu (2), R. Abou Jamra (3), M.<br />
Noethen (3), S. Cichon (3)<br />
1. Biometric Psychiatric Genetics Research Unit, Alexandru<br />
Obregia Psychiatric Hospital, Bucharest, Romania 2. Stefan S<br />
Nicolau Institute <strong>of</strong> Virology, Bucharest, Romania 3. Institute<br />
<strong>of</strong> Human Genetics, Department <strong>of</strong> Genomics, Life and Brain<br />
Center, University <strong>of</strong> Bonn, Germany<br />
*maria.serbanescu@web.de<br />
Objective: Since the complex G72/G30 was considered one <strong>of</strong><br />
the most replicated candidate gene for bipolar I disorder (BPI),<br />
we investigated the association between this complex and BPI<br />
in the Romanian population. Special attention was paid to the<br />
association <strong>of</strong> G72/G30 with psychotic BPI in view <strong>of</strong><br />
previous contradictory results concerning this association<br />
(positive findings: Schulze et al, 2005; Goes et al, 2007;<br />
negative: Williams et al, 2006; Maheshwari et al, 2009).<br />
Method: Fourteen G72-SNPs were genotyped at the Institute<br />
<strong>of</strong> Human Genetics, Bonn in a Romanian sample <strong>of</strong> 198 BPI<br />
patients and 180 controls screened for psychiatric disorders.<br />
Statistical analysis was performed with FAMHAP and<br />
Haploview v.3.32. The sample power to detect allelic<br />
association was 84%. Results: All genotyped SNPs were in<br />
HWE in controls and patients. The comparison <strong>of</strong> MAF in<br />
patients and controls showed no association <strong>of</strong> the fourteen<br />
SNPs with BPI in our total patient sample. But when<br />
subdividing the sample according to the presence/absence <strong>of</strong><br />
psychosis (incongruent plus congruent) in at least one illness<br />
episode, four SNPs reached nominal significance in the<br />
non-psychotic BPI subgroup [rs3916965 (M12) (P=0.044),<br />
rs1935057 (P=0.037), rs3916967 (M14) (P=0.043), rs2391191<br />
(M15, non-synonymous) (P=0.043)]. In the same subgroup, a<br />
two-SNP haploblock (GA) including M14 and M15 was<br />
significantly associated with BPI (P=0.0524 for global ?2<br />
corrected through permutations; OR=1.82).<br />
Conclusion: Similarly to Williams et al. (2006) and Hattori et<br />
al. (2003) we found the same G72-SNPs M12(G) and M15(A)<br />
associated with non-psychotic BPI. No SNP was associated<br />
with psychotic BPI.
150 DNA SEQUENCE ANALYSIS OF ERBB4 IN<br />
BIPOLAR DISORDER WITH MOOD-INCONGRUENT<br />
PSYCHOSIS<br />
F. Goes* (1), S. Wheelan (2), J. Potash (1)<br />
1. Dept. <strong>of</strong> Psychiatry, Johns Hopkins University School <strong>of</strong><br />
Medicine 2. Center for Computational Genomics, Johns<br />
Hopkins School <strong>of</strong> Medicine<br />
*fgoes@jhmi.edu<br />
Introduction: Prior studies <strong>of</strong> bipolar disorder (BP) with<br />
mood-incongruent psychosis (MICP) have shown that this<br />
subphenotype is familial and possibly linked to chromosomal<br />
regions implicated in susceptibility to schizophrenia. We<br />
recently performed a secondary GWAS analysis <strong>of</strong> BP-MICP<br />
in the Bipolar Genome Study (BiGS), where the strongest<br />
association was found in ERBB4 (P = 1.15 x 10-6), a<br />
neuregulin 1 receptor, also associated with schizophrenia. In<br />
this study, we hypothesized that common and rare variants<br />
might also be associated with BP-MICP, the form <strong>of</strong> BP with<br />
arguably the greatest phenotypic overlap with schizophrenia.<br />
Methods: Using the Sanger method, we have sequenced the<br />
promoter region, all 28 exons, and splice sites <strong>of</strong> ERBB4 in<br />
the 189 cases with BP-MICP from the BiGS study. Traces<br />
were analyzed using Phred/Phrap for base calling and<br />
sequence assembly, and bioinformatic annotation was<br />
performed using a variety <strong>of</strong> publicly available tools.<br />
Results: We identified 37 sequence variants, <strong>of</strong> which 17<br />
were novel. Of these, four were in coding regions, including a<br />
non-conservative missense mutation (Cys -> Trp) in exon 15.<br />
Novel variants were also found in the UTRs (n=4) and in<br />
splice site sequences (n=9). We are currently comparing the<br />
burden <strong>of</strong> rare variants, both across the gene and within<br />
annotated functional categories, with data from European<br />
origin subjects <strong>of</strong> the 1000 Genomes Project. Conclusion: Our<br />
ongoing analyses suggest that ERBB4, a putative<br />
schizophrenia susceptibility gene, might harbor common and<br />
rare variants associated with susceptibility to a form <strong>of</strong> bipolar<br />
disorder with phenotypic similarities to schizophrenia.<br />
151 GENETIC ASSOCIATION BETWEEN G PROTEIN<br />
beta 3 SUBUNIT, INTERLEUKIN-10, TUMOR<br />
NECROSIS FACTOR-alpha GENE POLYMORPHISMS<br />
AND IRRITABLE BOWEL SYNDROME IN KOREANS<br />
S. Lee (1), H. Lee (2), J. Choi (2), I. Sung* (1), H. Park (1),<br />
C. Jin (1)<br />
1. Konkuk University College <strong>of</strong> Medicine 2. Korea<br />
University College <strong>of</strong> Medicine<br />
*leehjeong@korea.ac.kr<br />
The aim <strong>of</strong> this study was to determine the role <strong>of</strong> G protein<br />
β3 subunit (GNB3), interleukin (IL)-10, and tumor necrosis<br />
factor (TNF)-α gene polymorphisms in Korean patients with<br />
irritable bowel syndrome (IBS) as diagnosed based on Rome<br />
III criteria. Korean case and control subjects <strong>of</strong> the study were<br />
recruited between December 2006 and December 2008 from<br />
visitors to the Health Promotion Center and Digestive Disease<br />
Center for gastrointestinal endoscopy. All the subjects signed<br />
an informed consent for genetic analysis and completed<br />
questionnaires on Rome III criteria and the Beck’s Depressive<br />
Inventory. GNB3, IL-10, and TNF-α gene polymorphisms<br />
were genotyped using a polymerase-chain-reaction-based<br />
method. Multifactor dimensionality reduction (MDR) analysis<br />
was used to assess gene-gene interactions. Although genotype<br />
and allele frequencies for all polymorphisms did not differ<br />
between the 94 IBS patients and 88 healthy controls, genotype<br />
and allele frequencies <strong>of</strong> GNB3 showed marginal significance<br />
between two group (X2=5.92, p=0.052; X2=3.76, p=0.053).<br />
MDR analysis revealed that there were no significant<br />
interactions <strong>of</strong> GNB3, IL-10, and TNF-α gene variants with<br />
susceptibility to IBS (p > 0.05). According to the IBS<br />
subtypes, GNB3 T allele was more strongly correlated with<br />
IBS with constipation (12 <strong>of</strong> constipation-dominant type and<br />
31 <strong>of</strong> mixed type) than with 51 diarrhea-dominant type and 88<br />
normal subjects (X2 =13.91, P=0.008). The results suggest<br />
that GNB3 825T allele frequency might be associated with<br />
IBS with constipation in Koreans.
152 REPLICATION STUDY OF 3Q29 LINKAGE AND<br />
ASSOCIATION FINDINGS IN BIPOLAR AFFECTIVE<br />
DISORDER.<br />
A. Schosser* (1), K. Fuchs (2), M. Stojanovic (2), M.<br />
Schloegelh<strong>of</strong>er (3), S. Cohen-Woods (4), I. Craig (4), P.<br />
McGuffin (4), H. Aschauer (3)<br />
1. Dep. <strong>of</strong> Psychiatry and Psychotherapy, <strong>Medical</strong> University<br />
Vienna, Austria; MRC SGDP Centre, Institute <strong>of</strong> Psychiatry,<br />
King’s College London, UK 2. Dep. <strong>of</strong> Psychiatry and<br />
Psychotherapy, <strong>Medical</strong> University Vienna, Austria;Center for<br />
Brain Research, Div. <strong>of</strong> Biochemistry and Molecular Biology,<br />
<strong>Medical</strong> University Vienna, Austria 3. Dep. <strong>of</strong> Psychiatry and<br />
Psychotherapy, <strong>Medical</strong> University Vienna, Austria 4. MRC<br />
SGDP Centre, Institute <strong>of</strong> Psychiatry, King’s College London,<br />
London, UK<br />
*alexandra.schosser@iop.kcl.ac.uk<br />
We identified a bipolar disorder (BPD) susceptibility region<br />
on chromosome 3q29 in a genome-wide linkage scan (Bailer<br />
et al. 2002, NPL-score4.09 in BPD families and 2.19 in<br />
schizophrenia families) and follow-up linkage analysis<br />
(Schosser et al. 2004, NPL-scores >3 with five markers in<br />
BPD families and 2.3 with one marker in schizophrenia<br />
families) performed in Austria. These results were supported<br />
by fine-mapping <strong>of</strong> 3q29 (Schosser et al.2007), finding<br />
NPL-scores >3.9 with SNPs (single<br />
nucleotidepolymorphisms) spanning a region <strong>of</strong> 3.46 Mbp in<br />
BPD families, and >1.7 in schizophrenia families. These<br />
results support the hypothesis <strong>of</strong> common genetic<br />
contributions to both disorders. Since genetic association<br />
studies are more powerful than linkage studies for detecting<br />
susceptibility genes <strong>of</strong> small effect size, the aim <strong>of</strong> the current<br />
study is to investigate the 3q29 region in a BPD case-control<br />
sample (BACCS) from UK and replicate the linkage findings<br />
from Austria.The BACCS sample consists <strong>of</strong> 522 cases<br />
(DSM-IV, Diagnostic and Statistical Manual, 4 th Edition; and<br />
ICD-10, International Classification <strong>of</strong> Diseases, 10thEdition)<br />
and 512 controls. Cases were interviewed using SCAN<br />
(Schedules forClinical Assessment in Neuropsychiatry) and<br />
controls screened for a lifetime absence <strong>of</strong> psychiatric<br />
disorders by a modified version <strong>of</strong> the Past History Schedule.<br />
Genotyping <strong>of</strong> 96 SNPs in the identified 3q29 linkage region<br />
is performed using the SNPlex Genotyping System (Applied<br />
Biosystems, Foster City,CA, USA), and raw data are analysed<br />
using the GeneMapper S<strong>of</strong>tware v3.7. The results <strong>of</strong> this<br />
currently ongoing genetic association study will be presented.<br />
153 FUNCTIONAL CONSEQUENCES OF THE ANK3<br />
GENE POLYMORPHISM ON SUSTAINED<br />
ATTENTION: INFLUENCES IN PATIENTS WITH<br />
BIPOLAR DISORDER, THEIR FIRST DEGREE<br />
RELATIVES AND HEALTHY CONTROLS.<br />
G. Ruberto* (1,4), E. Vassos (2), C. Lewis (2,3), R. Tatarelli<br />
(4), P. Girardi (4), D. Collier (2), S. Frangou (1)<br />
1. Section <strong>of</strong> Neurobiology <strong>of</strong> Psychosis, Institute <strong>of</strong><br />
Psychiatry, King’s College London, UK 2. Social, Genetic &<br />
Developmental Psychiatry Centre, Institute <strong>of</strong> Psychiatry,<br />
King’s College London, UK 3. Division <strong>of</strong> Genetics and<br />
Molecular Medicine, King’s College London School <strong>of</strong><br />
Medicine ,UK 4. Department <strong>of</strong> Psychiatry, Sant'Andrea<br />
Hospital, Second <strong>Medical</strong> School, La Sapienza University,<br />
Italy<br />
*gaia.ruberto@kcl.ac.uk<br />
Recent genome-wide genetic studies have reported a strong<br />
association with Bipolar Disorder (BD) in a region<br />
(rs10994336) within ANK3. Ankyrin 3, the protein coded by<br />
this gene, is involved in facilitating the propagation <strong>of</strong> action<br />
potentials by regulating the assembly <strong>of</strong> sodium gated ion<br />
channels. Both these processes are crucially involved in<br />
sequential signal detection which influences performance<br />
during sustained attention tasks. Abnormalities in sustained<br />
attention are prominent trait features <strong>of</strong> BD and may be<br />
associated with genetic risk. We examined the relationship <strong>of</strong><br />
allelic variation in the ANK3 gene and sustained attention,<br />
measured with the Degraded Symbol Continuous Performance<br />
Test (DS-CPT) in sample (n=189) individuals comprising BD<br />
patients (n=47), their unaffected first-degree relatives (n=75)<br />
and healthy controls (n=67). We found that the risk allele T<br />
was associated with reduced sensitivity and increased errors <strong>of</strong><br />
commission regardless <strong>of</strong> diagnosis. This genotype effect<br />
appeared relatively specific to sustained attention and was not<br />
present in the domains <strong>of</strong> general intellectual ability, memory,<br />
decision making and response inhibition. Our results suggest<br />
that the allelic variation in ANK3 impacts on sodium-channel<br />
dependent cognitive processes relating to signal detection and<br />
this mechanism may relate to risk for BD.
154 METAMOODICS: AN INTEGRATED WEB<br />
RESOURCE FOR SYSTEMATIC META-ANALYSIS OF<br />
GENETIC ASSOCIATION STUDIES IN MOOD<br />
DISORDERS<br />
M. Pirooznia* (1), F. Seifuddin (1), J. Judy (1), P. Belmonte<br />
(1), J. Potash (1), P. Zandi (1)<br />
1. The Johns Hopkins University School <strong>of</strong> Medicine<br />
*mpirooz1@jhmi.edu<br />
Nearly 15% <strong>of</strong> females and about 8% <strong>of</strong> males suffer from<br />
mood disorders at some point in life. Recent advances from<br />
the Human Genome Project and high-throughput technologies<br />
like single nucleotide polymorphisms (SNPs) genotyping<br />
platform have made it possible to study the complex genetic<br />
architecture <strong>of</strong> mood disorders at an unprecedented scale.<br />
However, these studies generate huge amounts <strong>of</strong> data and<br />
their interpretation presents an imposing challenge. We have<br />
developed a database with a web front application resource,<br />
called Metamoodics, to integrate the existing data from<br />
published genomic experiments <strong>of</strong> mood disorders. These<br />
include data from three different classes <strong>of</strong> genomic<br />
experiments: a) association studies <strong>of</strong> sequence variation, b)<br />
association studies <strong>of</strong> copy number variation, and c) gene<br />
expression studies. Data from these three classes <strong>of</strong> genomic<br />
experiments are meta-analyzed and the synthesized results are<br />
visualized within the context <strong>of</strong> relevant genomic annotations.<br />
Metamoodics provides additional functionality for users to<br />
conduct customized gene set enrichment analyses <strong>of</strong> the<br />
meta-analyzed results in order to test various hypotheses about<br />
the relevance <strong>of</strong> particular molecular pathways in the risk for<br />
mood disorders. The first release <strong>of</strong> the database will include<br />
data from three major depression genome-wide association<br />
studies (GWAS), six bipolar disorder GWAS, over 500<br />
candidate gene association studies, and sixteen genome-wide<br />
expression studies. Metamoodics will act as a virtual hub<br />
where the scientific community can explore the current state<br />
<strong>of</strong> knowledge about which SNPs, genes, and pathways may<br />
contribute to susceptibility to mood disorders. Current<br />
developments in the project are available at<br />
http://psychiatry.igm.jhmi.edu/metamoodics/.<br />
155 GENOME-WIDE ASSOCIATION STUDY OF<br />
PEDIATRIC DSM-IV BIPOLAR-1 DISORDER<br />
E. Mick* (1)<br />
1. Massachusetts General Hospital<br />
*emick1@partners.org<br />
We conducted a preliminary genome-wide association study<br />
<strong>of</strong> pediatric Bipolar-I disorder (BP1) nested within an ADHD<br />
GWAS <strong>of</strong> 735 affected-<strong>of</strong>fspring trios genotyped on the<br />
Illumina Human1M BeadChip. After applying quality control<br />
filters association with pediatric BP1 was tested with 835,136<br />
SNPs. ADHD children with psychiatric comorbidity were not<br />
excluded from participation and 126 <strong>of</strong> trios had comorbid<br />
BP1 disorder with an average age at onset <strong>of</strong> 7.3±4.8 years <strong>of</strong><br />
age. We observed one genome-wide statistically significant<br />
association (p=2.7E-8), Bonferonnip-value=0.025) with a SNP<br />
(rs2978024 MAF=0.24) located on chromosome 8q24.22 in<br />
3rd intron <strong>of</strong> ST3GAL1 (ST3<br />
beta-galactosidealpha-2,3-sialyltransferase 1). Two additional<br />
SNPs in ST3GAL1 were statistically significant gene-wide<br />
(rs2945787 at p=6.5E-6 and rs2978008 at p=7.0E-5) both also<br />
located in the 3rd intron and in moderate LD with the<br />
genome-wide significant finding (r2 = 0.6-0.78). ST3GAL1<br />
encodes an enzyme that transfers sialic acid to<br />
oligosaccharides; the resulting sialic acid rich glycoproteins<br />
bind to the selectin family <strong>of</strong> cell adhesion molecules.<br />
Although additional work is needed to replicate this finding is<br />
noteworthy that ST3GAL1 has been associated with adult BP1<br />
in two independent samples and is located under one <strong>of</strong> two<br />
genome-wide significant linkage peaks from a meta-analysis<br />
<strong>of</strong> 5,179 individuals (1,067 families) with adult BP-I disorder.
156 ANK3 SEQUENCING IN BIPOLAR DISORDER<br />
CASES<br />
A. McQuillin* (1), C. Her (1), K. Schlegel (2), A. Dedman<br />
(1), S. Sharp (1), R. Kandaswamy (1), A. Anjorin (1), N. Bass<br />
(1), J. Lawrence (1), H. Gurling (1)<br />
1. University College London 2. University <strong>of</strong> Nottingham<br />
*a.mcquillin@ucl.ac.uk<br />
Collaborative genome-wide association analysis in 4,387 cases<br />
<strong>of</strong> bipolar disorder and 6,209 controls found strong evidence<br />
for association in a region encompassing the ANK3 (ankyrin<br />
G) gene. Since then further evidence for association between<br />
ANK3 and bipolar disorder has been reported. ANK3 is an<br />
adaptor protein found at axon initial segments that has been<br />
shown to regulate the assembly <strong>of</strong> voltage-gated sodium<br />
channels. Sequence analysis <strong>of</strong> the ANK3 gene in bipolar<br />
disorder cases has been performed to identify potentially<br />
aetiological changes in the gene. Several novel potentially<br />
functional changes have been detected in the gene. Full<br />
genotyping <strong>of</strong> these potential aetiological changes will be<br />
done in our sample <strong>of</strong> 1000 cases and 1000 controls.<br />
157 GENOME-WIDE ASSOCIATION OF BIPOLAR<br />
DISORDER<br />
E. Smith* (1), J. Badner (2), T. Barrett (3), P. Belmonte (4),<br />
W. Berrettini (5), C. Bloss (1), W. Byerley (6), W. Coryell (7),<br />
D. Craig (8), H. Edenberg (9, 10), E. Eskin (11), T. Foroud<br />
(10), E. Gershon (2), T. Greenwood (12), M. Hipolito (13), D.<br />
Koller (14), W. Lawson (13), C. Liu (2), F. Loh<strong>of</strong>f (5), M.<br />
McInnis (15), F. McMahon (14), M. Sarah (1), C. Nievergelt<br />
(12), J. Nurnberger (14), E. Nwulia (13), J. Paschall (16), J.<br />
Potash (4), J. Rice (17), T. Schulze (18), W. Scheftner (19), C.<br />
Panganiban (20), N. Zaitlen (21), P. Zandi (4), P. Zhang (22),<br />
S. Zollner (15), J. Kelsoe (12,23), N. Schork (1,24,25)<br />
1. Scripps Translational Science Institute 2. Department <strong>of</strong><br />
Psychiatry, University <strong>of</strong> Chicago 3. Department <strong>of</strong><br />
Psychiatry, Portland VA <strong>Medical</strong> Center 4. Department <strong>of</strong><br />
Psychiatry, Johns Hopkins School <strong>of</strong> Medicine 5. Department<br />
<strong>of</strong> Psychiatry, University <strong>of</strong> Pennsylvania 6. Department <strong>of</strong><br />
Psychiatry, University <strong>of</strong> California, San Francisco 7.<br />
Department <strong>of</strong> Psychiatry, University <strong>of</strong> Iowa 8.<br />
Neurogenomics Division, The Translational Genomics<br />
Research Institute 9. Department <strong>of</strong> Biochemistry and<br />
Molecular Biology, Indiana University School <strong>of</strong> Medicine<br />
10. Department <strong>of</strong> <strong>Medical</strong> and Molecular Genetics, Indiana<br />
University School <strong>of</strong> Medicine 11. Department <strong>of</strong> Computer<br />
Science, University <strong>of</strong> California, Los Angeles 12.<br />
Department <strong>of</strong> Psychiatry, University <strong>of</strong> California, San Diego<br />
13. Department <strong>of</strong> Psychiatry, Howard University 14.<br />
Department <strong>of</strong> Psychiatry, Indiana University School <strong>of</strong><br />
Medicine 15. Department <strong>of</strong> Psychiatry, University <strong>of</strong><br />
Michigan 16. National Center for Biotechnology Information,<br />
National Library <strong>of</strong> Medicine, National Institutes <strong>of</strong> Health 17.<br />
Division <strong>of</strong> Biostatistics, Washington University 18. Genetic<br />
Basis <strong>of</strong> Mood and Anxiety Disorders Unit, National Institute<br />
<strong>of</strong> Mental Health Intramural Research Program, National<br />
Institutes <strong>of</strong> Health, US Dept <strong>of</strong> Health and Human Services<br />
19. Department <strong>of</strong> Psychiatry, Rush University 20.<br />
Neurogenomics Division, The Translational Genomics<br />
Research Institute 21. Department <strong>of</strong> Computer Science,<br />
University <strong>of</strong> California, Los Angeles 22. Biostatistics<br />
Department, University <strong>of</strong> Michigan 23. Department <strong>of</strong><br />
Psychiatry, VA San Diego Healthcare System 24. Department<br />
<strong>of</strong> Molecular and Experimental Medicine, The Scripps<br />
Research Institute 25. Scripps Health<br />
*ensmith@scripps.edu<br />
To identify BD genetic susceptibility factors, we have<br />
conducted genome-wide association in two populations: one<br />
<strong>of</strong> European Ancestry (EA, n = 2,200 cases; n = 1,436<br />
genotyped controls) and one <strong>of</strong> African Ancestry (AA; n =<br />
345 cases; n = 670 controls). We have previously reported<br />
results for a subset <strong>of</strong> these individuals that were genotyped<br />
through the GAIN initiative. Here we expand the study with<br />
an additional 1,199 EA cases and 403 EA controls genotyped<br />
on the Affymetrix 6.0 chip. In the full EA dataset, the<br />
strongest association did not reach genome-wide significance<br />
(rs17498753 in C2orf34, P = 2 x 10-6), and previously<br />
characterized associations at ANK3 and CACNA1C did not
significantly replicate, although the GAIN subset had shown<br />
replication <strong>of</strong> rs1938526 in ANK3 (p = 0.036). This is<br />
consistent with a marked heterogeneity in the genetic basis <strong>of</strong><br />
BD. We have partitioned this heterogeneity through more<br />
precise characterization <strong>of</strong> clinical subphenotypes and by<br />
performing analyses designed to detect alternative genetic<br />
architectures. Preliminary analyses include an examination <strong>of</strong><br />
polygenetic effects from additive and epistatic models; rare<br />
variants using population based identity-by-descent mapping;<br />
and allelic heterogeneity using haplotype analyses.<br />
Identity-by-descent mapping in the GAIN sample has yielded<br />
loci with intriguing candidates including the locus around the<br />
neuronal calcium sensor FREQ on chromosome 9 (P = 1 x<br />
10-6), which will be further followed up in the full dataset.<br />
These results suggest that although common variants may be<br />
challenging to reproducibly identify in BD, alternative<br />
analysis methods may be fruitful in identifying genetic factors<br />
for BD.<br />
158 MAPPING LOCI AND GENES FOR BIPOLAR<br />
AFFECTIVE DISORDER IN 34 CONSANGUINEOUS<br />
FAMILIES FROM IRAN USING SNP MICROARRAYS<br />
N. Moghimi (1), A. Noor (1), A. Lionel (2), A. Ziaolhagh (3),<br />
M. Ghadiri (3), M. Ohadi (4), J. Vincent* (1)<br />
1. CAMH 2. The Hospital for Sick Children 3. Iran University<br />
<strong>of</strong> <strong>Medical</strong> Sciences 4. The Social Welfare and Rehabilitation<br />
Sciences University,Tehran<br />
*john_vincent@camh.net<br />
Homozygosity mapping is a powerful method for finding rare<br />
recessive disease genes in monogenic disorders and may also<br />
be useful for locating risk genes in complex disorders. We<br />
have used Affymetrix 5.0 Single Nucleotide Polymorphism<br />
micorarrays to screen 72 individuals from 34 consanguineous<br />
families from Iran that are multiplex for bipolar affective<br />
disorder (BPAD), genome-wide for homozygosity-by-descent<br />
(HBD), or autozygosity, under the hypothesis that, in some<br />
rare instances, there are autosomal recessive mutations that are<br />
major risk factors for disease, and that autozygosity mapping<br />
<strong>of</strong> consanguineous multiplex BPAD families will enable the<br />
mapping <strong>of</strong> such genes. In addition, we looked for the<br />
presence <strong>of</strong> copy number variants (CNVs) that may also be<br />
risk factors for BPAD in these families. We identified 43 large<br />
HBD regions. For instance, in one family with 4 affected<br />
individuals we identified a 56Mb common HBD region on<br />
chromosome 8 (including candidate genes such as IMPA1,<br />
IMPAD1), and a 10Mb region on chromosome 17 (including<br />
SLC6A4). In a second family with four affected sisters, we<br />
identified a 7Mb HBD region on 5q35.2-q35.3, including the<br />
genes DRD1 and GRM6. We plan to screen selected candidate<br />
genes within these regions for homozygous mutations. We<br />
have also identified a number <strong>of</strong> large runs <strong>of</strong> homozygosity<br />
that appear frequently among the BPAD probands, including a<br />
400Kb run that spans the glutamate receptor gene, GRIK6. We<br />
also have found 48 CNVs <strong>of</strong> interest that potentially disrupt<br />
candidate genes such as SYN3, SLC39A11, and S100A10.
159 EVIDENCE FOR MOLECULAR PATHWAYS IN<br />
BIPOLAR DISORDER USING INDEPENDENT<br />
GENOME-WIDE ASSOCIATION DATASETS<br />
C. O'Dushlaine* (1), D. Ruderfer (1), S. Purcell (1), P. Sklar<br />
(1)<br />
1. MGH<br />
*odushlaine@chgr.mgh.harvard.edu<br />
The etiology <strong>of</strong> biopolar disorder (BP), particularly with<br />
regards to enrichment <strong>of</strong> genetic association within specific<br />
molecular pathways, remains poorly described. Here we apply<br />
a recently described pathway analysis method to 325,690<br />
SNPs common to two independent BP datasets (1,829 cases,<br />
2,935 controls (WTCCC); 1,498 cases, 954 controls (Sklar et<br />
al.)) and report pathways that are significantly enriched in<br />
both. Among those pathways implicated in BP<br />
pathophysiology were pathways relating to Glycan structures<br />
and cell-adhesion molecules. Compelling evidence exists in<br />
the literature supporting the putative effects <strong>of</strong> disturbance to<br />
these pathways and processes in effecting the BP phenotype.<br />
These pathways and their underlying genetic loci represent<br />
new and promising targets for additional studies <strong>of</strong> BP.<br />
160 INDEPENDENT EVIDENCE THAT REFINED<br />
PHENOTYPING OF BIPOLAR PATIENTS REVEALS<br />
SIGNIFICANT ASSOCIATION FOR GABAA<br />
RECEPTOR GENES<br />
R. Breuer* (1), M. Hamshere (2), J. Strohmaier (1), M.<br />
Mattheisen (3), F. Degenhardt (4), S. Meier (1), T. Paul (1),<br />
M. O’Donovan (2), T. Mühleisen (4), T. Schulze (5), M.<br />
Nöthen (4), S. Cichon (4), N. Craddock (2), M. Rietschel (1)<br />
1. Department <strong>of</strong> Genetic Epidemiology in Psychiatry, Central<br />
Institute <strong>of</strong> Mental Health, University <strong>of</strong> Heidelberg,<br />
Mannheim, Germany 2. Department <strong>of</strong> Psychological<br />
Medicine, School <strong>of</strong> Medicine, Cardiff University, UK 3.<br />
Institute for <strong>Medical</strong> Biometry, Informatics, and<br />
Epidemiology (IMBIE), University <strong>of</strong> Bonn, Germany 4.<br />
Institute <strong>of</strong> Human Genetics, Department <strong>of</strong> Genomics, Life &<br />
Brain Center, University <strong>of</strong> Bonn, Germany 5. Unit on the<br />
Genetic Basis <strong>of</strong> Mood and Anxiety Disorders, National<br />
Institute <strong>of</strong> Mental Health, National Institutes <strong>of</strong> Health, US<br />
Department <strong>of</strong> Health and Human Services, Bethesda, MD,<br />
USA<br />
*rene.breuer@zi-mannheim.de<br />
There is increasing evidence that refinement <strong>of</strong> phenotype <strong>of</strong><br />
complex psychiatric disorders can produce stronger<br />
association signals. Craddock et al.1 recently reported that the<br />
index association signal obtained using a set <strong>of</strong> GABAA<br />
receptor genes in bipolar disorder was enriched and became an<br />
order <strong>of</strong> magnitude stronger in a much smaller subsample <strong>of</strong><br />
DSM IV bipolar patients who had been assigned a refined<br />
RDC diagnosis <strong>of</strong> “schizoaffective disorder, bipolar (SABP).”<br />
In order to replicate this finding, we re-diagnosed n=682 DSM<br />
IV bipolar patients included in our previous GWA study<br />
according to RDC criteria based on OPCRIT data<br />
(RDC-SABP, n=352, and, RDC-nonSABP, n=330). We<br />
applied a gene-based approach using all available SNPs<br />
(n=362) in the 19 GABAA receptor genes. While no<br />
association with a DSM IV diagnosis <strong>of</strong> bipolar disorder was<br />
observed, significant association (p=8.8x10-3) was obtained<br />
when only SABP patients were included. The genes making a<br />
major contribution to these results were GABRB2<br />
(p=1.9x10-4), GABRG2 (p=1.2x10-2) and GABRA1<br />
(p=1.7x10-2). The strongest SNP association was obtained for<br />
rs7714930 (p=1.1x10-5) within GABRB2. Our results thus<br />
replicate the association findings for RDC-SABP with<br />
GABAA receptor genes, and show that the refining <strong>of</strong> major<br />
phenotypes may be a prerequisite to the identification <strong>of</strong><br />
genetic risk factors for complex psychiatric disorders.<br />
1Craddock et.al. Mol Psychiatry, 2008 Jul 1. [Epub ahead <strong>of</strong><br />
print]
161 HIGHER LEVELS OF SUICIDAL BEHAVIOR ARE<br />
ASSOCIATED WITH ELEVATED SCORES OF<br />
NEUROTICISM AND SUBSTANCE USE IN A SAMPLE<br />
OF BIPOLAR I AND BIPOLAR II SUBJECTS.<br />
M. Kamali* (1), S. Langenecker (1), A. Prossin (1), A.<br />
Vederman (1), M. McInnis (1)<br />
1. University <strong>of</strong> Michigan, Department <strong>of</strong> Psychiatry and<br />
Depression Center<br />
*masoud@med.umich.edu<br />
Introduction: Further differentiating the clinical phenotypes <strong>of</strong><br />
bipolar disorder will assist in the search for biomarkers.<br />
Suicidal behavior is a common and dangerous complication <strong>of</strong><br />
bipolar disorder. Factors such as high impulsivity have been<br />
associated with elevated risk <strong>of</strong> suicidal behavior. Higher<br />
impulsivity has also been associated with substance use<br />
disorder and violent and aggressive behavior. The subtype <strong>of</strong><br />
bipolar disorder with higher levels <strong>of</strong> impulsivity as indicated<br />
by higher rates <strong>of</strong> aggression, suicidal behavior and substance<br />
use could be categorized as a distinct phenotype and an<br />
appropriate candidate for biomarker investigations. Methods:<br />
The studied sample is part <strong>of</strong> the larger cohort <strong>of</strong> bipolar<br />
subjects from the Heinz C. Prechter Longitudinal Project.<br />
This is a longitudinal study <strong>of</strong> bipolar disorder with more than<br />
400 subjects enrolled. Data from over 200 subjects with<br />
bipolar I and II were used in this analysis. Information<br />
regarding diagnosis, substance use and suicidal behavior was<br />
collected using the Diagnostic Interview for Genetic Studies<br />
(DIGS) and confirmed by a best estimate process involving at<br />
least one <strong>of</strong> the authors. The NEO-PI personality inventory<br />
was collected for all subjects. Results: The subjects with<br />
higher levels <strong>of</strong> suicidal behavior showed elevated scores in<br />
the N domain and N1-6 facets <strong>of</strong> the NEO-PI. Subjects with<br />
higher rates <strong>of</strong> suicidal behavior also had higher levels <strong>of</strong><br />
substance use disorders compared to the non-suicidal bipolar<br />
subjects. Conclusion: Higher scores on the six N facets <strong>of</strong> the<br />
NEO-PI, which measure personality traits such as anxiety,<br />
angry hostility, depression, self-consciousness, impulsivity<br />
and vulnerability, along with substance use disorders are<br />
correlated with higher rates <strong>of</strong> suicidal behavior in this<br />
population <strong>of</strong> bipolar subjects. This phenotype <strong>of</strong> the disorder<br />
may be a candidate for further biomarker studies.<br />
162 A GENE EXPRESSION STUDY OF<br />
SPERMIDINE/SPERMINE<br />
N(1)-ACETYLTRANSFERASE (SSAT) IN BIPOLAR<br />
PATIENTS CHARACTERIZED FOR THE RISK OF<br />
SUICIDE: PRELIMINARY FINDINGS<br />
A. Squassina* (1), D. Congiu (1), M. Manchia (1), P. Piccardi<br />
(1), G. Severino (1), C. Chillotti (2), R. Ardau (2), M. Alda<br />
(3), M. Del Zompo (1, 2)<br />
1. Laboratory <strong>of</strong> Molecular Genetics, Department <strong>of</strong><br />
Neurosciences “B.B. Brodie”, University <strong>of</strong> Cagliari,<br />
Monserrato, (Ca), Italy 2. Unit <strong>of</strong> Clinical Pharmacology <strong>of</strong><br />
the University Hospital <strong>of</strong> Cagliari, Italy 3. Department <strong>of</strong><br />
Psychiatry, Dalhousie University, Nova Scotia, Canada<br />
*squassina@unica.it<br />
It is well known that chronic lithium treatment significantly<br />
reduces the risk <strong>of</strong> suicide in subjects with major affective<br />
disorders. A number <strong>of</strong> studies reported an underexpression <strong>of</strong><br />
spermidine/spermine N(1)-acetyltransferase (SSAT) gene, a<br />
key enzyme <strong>of</strong> the polyamine system, in several brain regions<br />
<strong>of</strong> suicide victims (Sequeira et al. 2006; Guipponi et al.,<br />
2008). Interestingly, some evidences shows that lithium in<br />
vitro induces an upregulation in SSAT expression in<br />
lymphoblasts from bipolar patients (BD). In this abstract we<br />
present data <strong>of</strong> a preliminary study in which SSAT expression<br />
was measured in a group <strong>of</strong> lymphoblastoid cell lines (LCL)<br />
from 7 Sardinian BD subjects that were part <strong>of</strong> a sample <strong>of</strong> 29<br />
BD patients characterized for the risk <strong>of</strong> suicide. LCLs from<br />
each subject were divided into two lines: one was treated with<br />
lithium 1mM for 1 week while the other was not treated. The<br />
fold changes in SSAT relative expression levels were<br />
calculated using the ΔΔCt method. The analysis <strong>of</strong> paired<br />
SSAT expression values showed that lithium significantly<br />
increases SSAT expression (fold difference = 1.20; paired t<br />
test, p = 0.006). The limited number <strong>of</strong> LCLs included in this<br />
preliminary study did not allow us to perform comparisons<br />
among the groups <strong>of</strong> patients with different risk <strong>of</strong> suicide.<br />
Our preliminary findings provide strong support for an<br />
upregulating effect <strong>of</strong> lithium on SSAT expression in<br />
lymphoblasts. Further analyses <strong>of</strong> the entire sample will<br />
provide more insights into the role <strong>of</strong> SSAT in lithium<br />
mechanism <strong>of</strong> action and in the risk <strong>of</strong> suicide.
163 A GENOME-WIDE ASSOCIATION STUDY OF<br />
AMYGDALA ACTIVATION IN YOUTHS WITH AND<br />
WITHOUT BIPOLAR DISORDER<br />
X. Liu*, N. Akula, M. Skup, M. Brotman, E. Leibenluft, F.<br />
Mcmahon<br />
*liuxinmin@mail.nih.gov<br />
OBJECTIVE: Functional magnetic resonance imaging (fMRI)<br />
is commonly used to characterize brain activity that may<br />
underlie a variety <strong>of</strong> psychiatric disorders. Previously, fMRI<br />
uncovered differences, compared to healthy controls, in<br />
amygdala activation during a face processing task in pediatric<br />
patients with bipolar disorder. In order to explore the genetic<br />
architecture <strong>of</strong> this neuroimaging phenotype, we undertook a<br />
genome-wide association study. METHOD: 39 patients with<br />
bipolar disorder and 29 healthy controls, who had previously<br />
undergone fMRI when viewing a neutral face, were genotyped<br />
with a genome-wide single nucleotide polymorphism (SNP)<br />
array. After quality control, a total <strong>of</strong> 104,043 SNPs were<br />
tested against normalized amygdala activation scores obtained<br />
from the right and left hemispheres. Genetic association was<br />
tested with covariates to control for race and ethnicity.<br />
RESULTS: Right amygdala activation under the hostility<br />
contrast was most strongly associated with a SNP in the gene<br />
DOK5 (rs2023454, P=4.88x10-7, FDR=0.05), a substrate <strong>of</strong><br />
TrkB/C receptors that is involved in neurotrophin signaling.<br />
This SNP accounted for about 32% <strong>of</strong> the variance among<br />
youth with bipolar disorder and 12% <strong>of</strong> the variance among<br />
healthy youth in this sample. Interesting results (FDR
165 A FAMILY BASED STUDY OF DENOVO COPY<br />
NUMBER VARIANTS IN BIPOLAR DISORDER USING<br />
A 2.1 MILLION PROBE MICROARRAY CGH<br />
PLATFORM<br />
D. Malhotra* (1), V. Makarov (1), S. McCarthy (1), A.<br />
Malhotra (2), J. Potash (3), F. McMahon (4), T. Schulze (4),<br />
E. Leibenluft (5)<br />
1. 1 Bungtown Road, Cold Spring Harbor, New York 2.<br />
Department <strong>of</strong> Psychiatry Research, The Zucker Hillside<br />
Hospital, Glen Oaks, Long Island, New York 3. Department <strong>of</strong><br />
Psychiatry and Behavioral Sciences Johns Hopkins Hospital,<br />
Baltimore, Maryland 4. Genetic Basis <strong>of</strong> Mood and Anxiety<br />
Disorders Unit; Institute for Mental Health, National Institutes<br />
<strong>of</strong> Health, Bethesda, Maryland 5. Genetic Basis <strong>of</strong> Mood and<br />
Anxiety Disorders Unit; Institute for Mental Health, National<br />
Institutes <strong>of</strong> Health, Bethesda, Maryland 6. Mood and Anxiety<br />
Disorders Program, National Institute for Mental Health,<br />
National Institutes <strong>of</strong> Health, Bethesda, Maryland<br />
*malhotra@cshl.edu<br />
The role <strong>of</strong> copy number variants in the etiology <strong>of</strong> bipolar<br />
disorder has been much less studied. Recent studies show that<br />
rare denovo CNVs occur with significantly increased<br />
frequency in children with neurodevelopmental disorders like<br />
autism and schizophrenia. However, the role <strong>of</strong> denovo cnvs<br />
in patients with mood disorders, including bipolar disorder is<br />
not known. To investigate the role <strong>of</strong> denovo cnvs in bipolar<br />
disorder, we initiated a family based genetic study called<br />
GEM (Genetics <strong>of</strong> early onset Mania) on 198 bipolar trios.<br />
The GEM bipolar sample collection includes a significant<br />
fraction <strong>of</strong> bipolar cases that are sporadic and also,<br />
approximately half <strong>of</strong> patients in the collection have an early<br />
age-at-onset (age at first mania
167 AKT1 AND NEUROCOGNITION IN BIPOLAR<br />
DISORDER<br />
C. Nnadi* (1), K. Burdick (1), C. Hodgkinson (2), B. Buzas<br />
(2), P. DeRosse (1), T. Lencz (1), D. Goldman (2), A.<br />
Malhotra (1)<br />
1. Psychiatry Research, The Zucker Hillside Hospital, North<br />
Shore-Long 2. Laboratory <strong>of</strong> Neurogenetics, National Institute<br />
<strong>of</strong> Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA.<br />
*cnnadi@lij.edu<br />
Background: The AKT1, a gene encoding a serine/threonine<br />
kinase, modulates gene expression, protein synthesis and cell<br />
cycle apparatus and is involved in the pathways for<br />
lithium-sensitive cell survival and proliferation. Recent data<br />
appear to implicate a haplotype <strong>of</strong> AKT1 in susceptibility to<br />
schizophrenia and in decreased AKT1 protein levels in the<br />
brains <strong>of</strong> individuals with schizophrenia (Emamian et al<br />
2004). Interestingly, a linkage study <strong>of</strong> bipolar disorder<br />
reported a modest signal in chromosome 14q 22-32 in the<br />
region <strong>of</strong> AKT1. Thus, in the current study, we tested for<br />
association <strong>of</strong> AKT1 gene and bipolar diagnosis and also<br />
analyzed our data for the role <strong>of</strong> AKT1 in neurocognition<br />
Methodology/Principal findings: Following an informed<br />
consent process, we recruited and characterized 206 unrelated<br />
Non-Hispanic White participants. Participants with bipolar<br />
disorder (n=81) had mean age 37.2 ± 12.3 years; female<br />
49.9%. Study controls (n=125) had mean age 36.9 ± 14.1<br />
years, female 46.4%. Diagnosis used the Structured Clinical<br />
Interview for DSM-IV (SCID) version 2.0, clinical notes and a<br />
consensus opinion <strong>of</strong> at least 3 experts. Each participant gave<br />
30cc <strong>of</strong> whole blood for DNA extraction and to establish<br />
immortalized cell lines. The three single nucleotide<br />
polymorphisms (SNPs) from the Emamian haplotype, rs<br />
22498799, rs 3730358 and rs1130214, were genotyped and<br />
examined for association with bipolar disorder and<br />
neurocognition.None <strong>of</strong> the three SNPs was associated with<br />
bipolar disorder (all p-values >0.05). However, AKT1<br />
rs2498799, that was previously associated with schizophrenia<br />
risk (risk allele =G), significantly influenced cognitive<br />
performance among the bipolar sample but not among the<br />
control subjects. Specifically, bipolar patients who carry two<br />
copies <strong>of</strong> the risk allele (G) performed significantly worse on<br />
measures <strong>of</strong> pre-morbid IQ and working memory than did<br />
A-allele carriers. Conclusions/Significance: We found no<br />
association between AKT1 gene polymorphisms and bipolar<br />
disorder in our cohort. However, AKT1 gene appears to be<br />
associated with neurocognition in our sample <strong>of</strong> Caucasian<br />
bipolar patients.<br />
168 FUNCTIONAL ASSESSMENT OF S100B AS A<br />
SUSCEPTIBILITY GENE FOR BIPOLAR DISORDER<br />
E. Dagdan* (1), M. Hill (2), S. Roche (1, 3), P. McKeon (3,<br />
4)<br />
1. Smurfit Institute <strong>of</strong> Genetics, Trinity College, Dublin,<br />
Ireland 2. Neuropsychiatric Genetics Research Group,<br />
Institute <strong>of</strong> Molecular Medicine, Trinity Centre for Health<br />
Sciences, St. James' Hospital, Dublin, Ireland 3. Department<br />
<strong>of</strong> Psychiatry, Trinity College, Dublin, Ireland 4.St. Patrick's<br />
Hospital, Dublin, Ireland<br />
*elif.dagdan@yahoo.ie<br />
Introduction: The glial cell-derived neurotrophic factor,<br />
S100B, is implicated in the pathology <strong>of</strong> bipolar affective<br />
disorder (BPAD) and schizophrenia. S100B protein levels are<br />
elevated in serum <strong>of</strong> patients with both disorders and S100B<br />
variants are associated with schizophrenia. We previously<br />
reported association <strong>of</strong> a SNP in the promoter <strong>of</strong>S100B,<br />
rs3788266, with a psychotic form <strong>of</strong> BPAD (P=0.0088). The<br />
disease-associated C allele disrupts a Trex/MEF3 consensus<br />
recognition, which is bound by Six-family transcription<br />
factors, suggesting that it could affectS100B expression.<br />
Methods: The functional effect <strong>of</strong> rs3788266 onS100B<br />
promoter activity was determined using the luciferase reporter<br />
system. Promoter fragments containing the T or C alleles <strong>of</strong><br />
rs3788266 were subcloned into the pGL4.23 minimal<br />
promoter-luciferase vector and were assayed for activity in<br />
U373MG glioblastoma cells. S100B RNA and protein levels<br />
were measured in post-mortem brain tissue and serum,<br />
respectively, to test for possible genotypic effects in vivo. The<br />
allelic expression imbalance (AEI) <strong>of</strong> rs3788266 was also<br />
investigated in 41heterozygote post-mortem brain RNA<br />
samples. Finally, allelic effects on protein complex formation<br />
at theS100B promoter were investigated by an electrophoretic<br />
mobility shift assay (EMSA). Results: Luciferase reporter<br />
gene expression was significantly increased in the presence <strong>of</strong><br />
the T- compared to C-allele (t= 4.151, P=0.001). However,<br />
lower mean serumS100B levels were observed in BPAD<br />
individuals with the TT genotype compared to those with the<br />
TC or CC genotypes (ANOVA: F=13.44, P=0.001). A similar<br />
pattern was observed at the RNA level but was not significant.<br />
The binding affinity <strong>of</strong> a U373MG protein complex that binds<br />
to the S100B promoter was 40 % stronger on the T- compared<br />
C-allele promoter fragments. Allelic expression imbalance<br />
was not observed with rs3788266, but we are investigating<br />
other variants. Discussion: The disease-associated C allele <strong>of</strong><br />
rs3788266 is associated with reduced promoter activity in<br />
U373MG glial cells and increased protein levels in serum.<br />
SNP rs3788266 may represent a functional susceptibility<br />
variant that contributes to the increased S100B levels observed<br />
in BPAD patients. We are investigating the effect <strong>of</strong> other<br />
SNPs on S100B RNA and serum levels.
169 GENOME-WIDE ASSOCIATION OF<br />
SELF-REPORTED CO-MORBID SEIZURES IN<br />
INDIVIDUALS WITH BIPOLAR DISORDER<br />
A. Schork* (1, 2), C. Bloss (2), E. Smith (2), J. Kelsoe (1), N.<br />
Schork (2, 3)<br />
1. <strong>UCSD</strong> 2. Scripps Translational Science Institute 3. The<br />
Scripps Research Institute<br />
*aschork@ucsd.edu<br />
Individuals diagnosed with affective disorders exhibit a higher<br />
prevalence <strong>of</strong> seizures than the general population. Further,<br />
there is considerable overlap in drug treatments for both<br />
conditions, with anti-convulsants <strong>of</strong>ten used to prevent mood<br />
swings in individuals with bipolar disorder (BD). These<br />
observations, together with evidence that both seizures and<br />
BD are closely related to noradrenergic and serotonergic<br />
pathways in the human brain, led us to conduct a<br />
genome-wide association study (GWAS) <strong>of</strong> co-morbid<br />
seizures in two samples <strong>of</strong> individuals with BD. Our initial test<br />
<strong>of</strong> association was performed in a sample <strong>of</strong> 1,001 individuals<br />
with BD (n=82 with co-morbid seizures) genotyped through<br />
the Genetic Association Information Network (GAIN) Bipolar<br />
Genetics Study (BiGS). This sample was then combined with<br />
1,199 additional cases (n=93 with co-morbid seizures) from<br />
the Translational Genetics subsample <strong>of</strong> BiGS. Standard<br />
univariate association analyses were performed using PLINK.<br />
The strongest statistical signal from the combined sample in<br />
this BD case-only association analysis was found for a SNP<br />
between PHF14 and THSD7A on chromosome 7 (4.01 x 10-9;<br />
OR = 5.276), a region that has been previously implicated in<br />
cerebellar ataxia. Secondary analyses have provided further<br />
support for this association, although further replication is<br />
needed, particularly in cohorts where the seizure phenotype<br />
has been more rigorously defined. Overall, our findings<br />
suggest that co-morbid seizures and BD may represent a more<br />
homogenous form <strong>of</strong> neuropsychiatric illness, with identifiable<br />
genetic underpinnings. It is possible that GWAS applied to<br />
clinically homogenous sub-groups may have greater utility for<br />
gene identification in complex disorders.<br />
170 ASSOCIATION OF THE SEROTONIN<br />
TRANSPORTER GENE (SLC6A4) POLYMORPHISMS<br />
WITH COMMON MENTAL DISORDERS IN A<br />
BRAZILIAN POPULATION COHORT<br />
U. Paredes* (1, 2), M. Diniz (1, 2, 3), A. de Saloma (1, 2, 3),<br />
X. Xu (1, 2), C. Guindallini (3), J. Mari (3), R.<br />
Affonseca-Bressan (3), P. McKeigue (4), . Prince (2), C.<br />
Lewis (2), G. Breen (1, 2)<br />
1. SGDP 2. IoP King's college London 3. UNIFESP 4.<br />
University <strong>of</strong> Edinburgh<br />
*ursula.paredes@kcl.ac.uk<br />
We present preliminary results from genetic study using a<br />
unique Brazilian cohort (from Sao Paulo [SP] and Rio de<br />
Janeiro [RJ]) to unveil the complex genetic and environmental<br />
aetiology <strong>of</strong> Common Mental Disorders (CMDs). These states<br />
were selected as it has been demonstrated previously that<br />
SP&RJ are stressful environments with high violent crime and<br />
inequality and that the populations are highly admixed. For<br />
this purpose we collected DNA from a cohort <strong>of</strong> 2200 subjects<br />
selected via a cross-sectional survey with a multistage<br />
probability sample design used to draw a representative<br />
sample in the cities <strong>of</strong> SP and RJ. The cohort was then<br />
assessed with the Composite International Diagnostic<br />
Interview version 2.1 and 9 other scales including the General<br />
Health Questionaire, Social Capital scale, and the Risk and<br />
Resilience Factor Questionnaire. We conducted a preliminary<br />
analysis <strong>of</strong> the prevalence <strong>of</strong> serotonin transporter gene<br />
(SLC6A4) promoter, intron 2 and Ile 425 polymorphisms as<br />
variants <strong>of</strong> these markers has been previously shown to act as<br />
a risk factors for a variety <strong>of</strong> CMDs e.g. depression, PTSD,<br />
etc.
283 CLASSIFICATION OF BEHAVIORS DURING<br />
MANIA: A NOVEL APPROACH TO BIPOLAR<br />
GENETICS<br />
R. McKinney* (1), T. Greenwood (1), J. Head (1), J. Cadigan<br />
(1), B. Study (2), Bipolar Genome Study (BiGS), J. Kelsoe (1)<br />
1. <strong>UCSD</strong> Dept <strong>of</strong> Psychiatry<br />
* rmckinney@ucsd.edu<br />
Although the high rate <strong>of</strong> heritability in bipolar disorder<br />
(BPD) is well demonstrated, the search for specific<br />
susceptibility genes has been challenging. It is likely these<br />
mapping difficulties are in large part the result <strong>of</strong> a high level<br />
<strong>of</strong> genetic and allelic heterogeneity. BPD may result from<br />
genetic variants in a variety <strong>of</strong> different brain signaling<br />
systems. Therefore, any clinical or other trait that could<br />
distinguish these variants would be invaluable in reducing<br />
heterogeneity. We describe a novel, strictly behavioral<br />
approach based on impairing actions displayed during manic<br />
and mixed states. Information was collected regarding these<br />
behaviors using DIGS ratings from our bipolar GWAS study<br />
(BiGS). Clinicians independently coded behaviors for 935<br />
subjects to determine whether each <strong>of</strong> 22 behavioral categories<br />
were present. Multiple correspondence analysis was used with<br />
564 unrelated individuals to explore and reduce the<br />
dimensionality <strong>of</strong> the data, with six dimensions explaining<br />
roughly 39% <strong>of</strong> the variance. We then used SOLAR to assess<br />
the heritability <strong>of</strong> both individual behaviors and the<br />
dimensions in a set <strong>of</strong> 356 affected sibling groups. Of<br />
individual behaviors, several displayed significance, including<br />
compulsive (h2=0.85, p=2x10-6) and sexual (h2=0.89,<br />
p=5x10-9) behaviors. In addition, we have taken a<br />
preliminary look at genetic association as well as developed a<br />
new self report questionnaire assessing manic behaviors.<br />
These data support the concept that the types <strong>of</strong> behaviors<br />
displayed during mania may be heritable and index different<br />
forms <strong>of</strong> BPD. This approach may then be useful in<br />
identifying susceptibility genes, underlying pathophysiology<br />
and clinical applications.<br />
284 BDNF MET-CARRIERS SHOW WHITE MATTER<br />
ABNORMALITIES IN RECURRENT DEPRESSION<br />
J. Cole* (1), C. Fu (1), A. Farmer (1), S. Cohen-Woods (1),<br />
D. Gaysina (1), N. Craddock (2), J. Gray (1), C. Gunasinghe<br />
(1), F. Hoda (1), L. Jones (3), J. Knight (1), A. Korszun (4),<br />
M. Owen (2), A. Sterne (1), I. Craig (1), S. Williams (5), A.<br />
Simmons (5), P. McGuffin (1)<br />
1. MRC SGDP Centre, Institute <strong>of</strong> Psychiatry, King's College<br />
London 2. Department <strong>of</strong> Psychological Medicine, Cardiff<br />
University, School <strong>of</strong> Medicine 3. Division <strong>of</strong> Neuroscience,<br />
Department <strong>of</strong> Psychiatry, University <strong>of</strong> Birmingham 4.<br />
Centre for Psychiatry, Wolfson Institute <strong>of</strong> Preventive<br />
Medicine, Barts and The London 5. Centre for Neuroimaging<br />
Sciences, Institute <strong>of</strong> Psychiatry, King's College London<br />
*james.cole@iop.kcl.ac.uk<br />
Background: White matter abnormalities have previously been<br />
reported in both young and elderly patients with major<br />
depressive disorder (MDD), however little is known about<br />
genetic influences on white matter in MDD. Brain derived<br />
neurotrophic factor is known to play a role in neuronal<br />
survival and differentiation and carrying the met allele <strong>of</strong> the<br />
val66met SNP has been shown to confer greater number <strong>of</strong><br />
white matter hyperintensities in MDD.<br />
Objective: To investigate whether a plausible risk genotype,<br />
BNDF val66met, has an effect on white matter integrity in<br />
depression, using diffusion-tensor imaging techniques.<br />
Methods: Diffusion-weighted MR scans were obtained from<br />
49 recurrent MDD patients (mean age = 50.1 yrs, 31 females,<br />
18 males). These scans were then grouped by val66met<br />
genotype (19 met carriers versus 30 val/val homozygotes) and<br />
underwent a voxel-based group mapping analysis <strong>of</strong> fractional<br />
anisotropy (FA). The two comparison groups were matched<br />
for age, sex, IQ and current depression levels.<br />
Results: Met-allele carriers have significantly decreased FA<br />
scores in four large voxel clusters throughout the brain,<br />
compared to val/val homozygotes. These clusters were located<br />
in bilateral corona radiata regions and the corticospinal tract.<br />
Conclusions: The study indicates that having at least one met<br />
allele in codon 66 <strong>of</strong> the BDNF gene is associated with widely<br />
distributed decreases in white matter microstructural integrity<br />
in patients with major depressive disorder.
OTHER CHILDHOOD DISORDERS<br />
171 READING DISABILITIES AND ADHD:<br />
CANDIDATE GENES ON CHR.6<br />
A. Elbert* (1), L. Gomez, T. Cate-Carter (2), K. Wigg, Y.<br />
Feng, A. Pitch, A. Ickovicz, M. Malone, E. Kerr, M. Lovett<br />
(2), C. Barr (3)<br />
1. University <strong>of</strong> Toronto: Institute <strong>of</strong> <strong>Medical</strong> Sciences 2.<br />
Sickkids Hospital 3. University <strong>of</strong> Toronto: Dept <strong>of</strong> Psychiatry<br />
*adrienne.elbert@ymail.com<br />
Reading Disabilities (RD) is the most common learning<br />
disability, affecting 5-12% <strong>of</strong> children. ADHD is <strong>of</strong>ten<br />
comorbid with RD and twin studies indicate common genetic<br />
influences. Previous linkage studies have identified<br />
chromosome 6p as a risk locus, and two genes in this region,<br />
KIAA0319 and DCDC2, have been associated to RD in<br />
multiple samples. In a prior study, we mapped the putative<br />
regulatory elements <strong>of</strong> KIAA0319 and DCDC2 using ChIP on<br />
chip. The purpose <strong>of</strong> the current study was to investigate<br />
polymorphisms within these regulatory elements in order to<br />
determine whether they contribute to risk for RD and ADHD.<br />
Eight polymorphisms in the regulatory element <strong>of</strong> KIAA0319<br />
were tested for association in a sample <strong>of</strong> 291 nuclear families<br />
with RD-affected children. Of these polymorphisms, a<br />
microsatellite ([GT]n repeat) in the 1st exon <strong>of</strong> KIAA0319<br />
showed our most significant result for association to RD in<br />
this gene (p=0.009). It is established that longer (GT)n alleles<br />
can decrease gene transcription by forming z-DNA, however it<br />
is unclear how the microsatellite in KIAA0319 may be<br />
contributing to RD risk. We previously found no evidence for<br />
association <strong>of</strong> DCDC2 markers to our RD sample. However,<br />
we recently found that these markers in DCDC2 were<br />
associated with measures <strong>of</strong> hyperactivity and inattention in<br />
the RD and ADHD samples. Therefore, I investigated the only<br />
polymorphism in the putative regulatory element <strong>of</strong> DCDC2<br />
in our RD and ADHD samples. The results did not provide<br />
significant evidence for association to ADHD (p=0.07) or RD<br />
(p=0.89).<br />
172 STUDY OF THE<br />
CATECHOL-O-METHYL-TRANSFERASE (COMT)<br />
GENE WITH HIGH AGGRESSION IN CHILDREN<br />
Y. Hirata* (1), N. King (1), B. Nowrouzi (2), J. Beitchman<br />
(2), J. Kennedy (1)<br />
1. Neurogenetics Section, Centre for Addiction and Mental<br />
Health, the Departments <strong>of</strong> Psychiatry, the University <strong>of</strong><br />
Toronto, Toronto, ON, Canada 2. Child Psychiatry Section,<br />
Centre for Addiction and Mental Health, the Departments <strong>of</strong><br />
Psychiatry, the University <strong>of</strong> Toronto, Toronto, ON, Canada<br />
*yuko_hirata@camh.net<br />
Background: The etiology <strong>of</strong> Childhood Onset Aggression<br />
(COA) is still poorly understood, but early COA can be<br />
considered as a strong risk factor for adult delinquency or<br />
criminal behaviour. The COMT gene has been suggested to be<br />
associated with aggression, as well as other psychiatric<br />
disturbances such as schizophrenia, depression, suicide, and<br />
attention deficit/hyperactivity disorder (ADHD). Methods:<br />
168 children participated, who were required to have scores<br />
ator exceeding the 90th percentile on the aggression subscale<br />
<strong>of</strong> the parent-reported Child Behavior Checklist and also on<br />
the Teacher's Report Form. The subjects must have shown a<br />
minimum two-year history <strong>of</strong> aggressive behaviour. Four<br />
COMT markers were genotyped for cases and controls<br />
matched for gender and ethnicity. The cases were also divided<br />
into subgroups using the Callous-Unemotional (CU) scale, as<br />
well as ADHD status. Results: The four SNPs defined one LD<br />
block. The genotype analysis <strong>of</strong> rs6269 (Val158Met) showed<br />
nominally significant association (p=0.025) and rs4818<br />
showed a trend (p=0.091). Haplotype analyses showed no<br />
significant association. High versus low CU score groups<br />
showed nominally significant association with rs6269<br />
(p=0.019) and a trend with rs4818 (p=0.086). ADHD groups<br />
showed no significant results. Conclusions: This is the first<br />
report to our knowledge evaluating COMT SNPs with the<br />
phenotype <strong>of</strong> high aggression in children, and we found a<br />
possible role for the Val158Met marker in COA. Given the<br />
importance <strong>of</strong> COA in future behaviour problems, further<br />
investigation <strong>of</strong> COMT in this disorder is warranted.
173 A NOVEL LOCUS FOR AUTOSOMAL RECESSIVE<br />
NON-SYNDROMIC MENTAL RENTARDATION<br />
(NSMR) MAPS TO 13Q12.3-Q13.2.<br />
A. Noor* (1), A. Mir (2), A. Mikhailov (1), A. Fennell (1), M.<br />
Ayub (3), J. Vincent (1)<br />
1. CAMH 2. COMSATS Inst, Islamabad 3. St. Lukes<br />
Hospital, UK<br />
*abdul_noor@camh.net<br />
Mental retardation (MR) is defined by an intelligence quotient<br />
(IQ) <strong>of</strong> less than 70 associated with functional deficits in<br />
adaptive behavior, and has a prevalence <strong>of</strong> 1–3% in the<br />
population. Although non syndromal autosomal recessive<br />
forms <strong>of</strong> MR (NS-ARMR) are believed to be relatively more<br />
common, only five genes have been reported so far. The<br />
objective <strong>of</strong> the present study was to identify a new locus\gene<br />
for ARMR. We ascertained a consanguineous family affected<br />
with non-syndromic autosomal recessive mental retardation.<br />
The phenotype was present in 4 individuals from two branches<br />
<strong>of</strong> the family. To map the chromosomal location <strong>of</strong> the<br />
causative gene we undertook Affymetrix 5.0 gene chip SNP<br />
analyses <strong>of</strong> all affected individuals and two unaffected<br />
individuals, assuming that a founder mutation was<br />
responsible. All affected individuals shared a 4.9 Mb<br />
haplo-identical region <strong>of</strong> homozygosity located on<br />
chromosome 13q12.3-q13.2, defined by SNP markers<br />
rs9506126 and rs9598929. The physical location <strong>of</strong> the critical<br />
region is 28,727 Mb to 33,621 Mb (UCSC, March 2006) and it<br />
contains ~30 Refseq genes. We have identified several<br />
candidate genes within this locus including UBL3,<br />
KATNAL1, FRY, PDS5B and KIAA0774. Sequencing <strong>of</strong><br />
candidate genes to identify the causative mutation is in<br />
process. In summary, we have mapped the chromosomal<br />
location <strong>of</strong> a novel gene responsible for autosomal recessive<br />
non-syndromic mental retardation.<br />
174 FIRST GENOME-SCAN ON<br />
NEUROPHYSIOLOGICAL ENDOPHENOTYPES<br />
POINTS TO TRANS-REGULATION EFFECTS ON<br />
SLC2A3 IN DYSLEXIC CHILDREN<br />
D. Roeske* (1), K. Ludwig (2), N. Neuh<strong>of</strong>f (3), J. Becker (2),<br />
J. Bartling (3), J. Bruder (3), F. Brockschmidt (2), A. Warnke<br />
(4), H. Remschmidt (5), P. H<strong>of</strong>fmann (6), M. Nöthen (6), G.<br />
Schulte-Körne (3), B. Müller-Myhsok (1)<br />
1. Max-Planck Institute <strong>of</strong> Psychiatry, Munich, Germany 2.<br />
Department <strong>of</strong> Genomics, Life & Brain Center, University <strong>of</strong><br />
Bonn, Germany 3. Department <strong>of</strong> Child and Adolescent<br />
Psychiatry, Psychosomatics and Psychotherapy,<br />
Ludwig-Maximilians-University Munich, Germany 4.<br />
Department <strong>of</strong> Child and Adolescent Psychiatry and<br />
Psychotherapy, University <strong>of</strong> Würzburg, Germany 5.<br />
Department <strong>of</strong> Child and Adolescent Psychiatry and<br />
Psychotherapy, University <strong>of</strong> Marburg, Germany 6. Institute<br />
<strong>of</strong> Human Genetics, University <strong>of</strong> Bonn, Germany<br />
*darina@mpipsykl.mpg.de<br />
We present the results <strong>of</strong> a genome-wide association study on<br />
EEG-measurements in dyslexic children. In 200 dyslexic<br />
children, genotypes <strong>of</strong> 300.000 SNPs were associated with<br />
two mismatch negativity (MMN) phenotypes, an early and a<br />
late MMN component which have been shown to be<br />
endophenotypes for dyslexia. 19 top SNPs were taken into<br />
replication in a second German sample <strong>of</strong> 186 dyslexic<br />
children. Rs4234898 could be replicated in this sample, with a<br />
genome-wide significant result in the combined sample. This<br />
SNP is located in an intergenic region on chromosome 4. In a<br />
public available database (Dixon 2007) rs4234898 is<br />
significantly associated with gene expression levels <strong>of</strong><br />
SLC2A3 with lower expression levels being present in<br />
individuals carrying the T-allele. We confirmed this<br />
trans-regulational effect in a cell line experiment using<br />
lymphoblastoid cell lines from dyslexic children. This is in<br />
concordance to our association results where carriers <strong>of</strong> the<br />
T-allele showed an attenuated MMN. SLC2A3 is the main<br />
glucose transporter in neurons. Our findings suggest that an<br />
attenuated MMN in dyslexic children might be due to reduced<br />
glucose levels. This is strengthened by several studies where<br />
hypoglycaemia has been linked to deficits in learning and<br />
memory. We find no evidence for a trans-regulation <strong>of</strong><br />
rs4234898 on SLC2A3 in gene expression data from adults.<br />
This suggests that the identified effect might be restricted to<br />
human childhood when a higher glucose demand is needed,<br />
e.g. for cell migration processes such as elongating <strong>of</strong> axons or<br />
branching <strong>of</strong> synapses. Acknowledgements GSK, BMM,<br />
MMN were funded by the EU in the Sixth Framework<br />
Program, LifeScienceHealth, project title Dyslexia genes and<br />
neurobiological pathways (Neurodys, 018696)
PERSONALITY AND TEMPERAMENT<br />
175 TRUE HEALING ART OF ALZHEIMER'S<br />
DISEASE BY HOLISTIC HOMOEOPATHY<br />
D. Patel*<br />
*dr_darshanapatel@hotmail.com<br />
Homoeopathic theory: The highest ideal <strong>of</strong> cure is rapid,<br />
gentle and permanent restoration <strong>of</strong> health, or removal and<br />
annihilation <strong>of</strong> the disease in its whole extent, in the shortest,<br />
most reliable, and harmless way, on easily comprehensible<br />
principle. Homoeopathy <strong>of</strong>fers reasonably positive treatment<br />
not cure but control and relief. Timely Administered<br />
homoeopathy medicines can prevent further progress <strong>of</strong><br />
disease. The homoeopathic remedies work by stimulating the<br />
body's own healing power. Homoeopathy the holistic<br />
approach believes in treating the patient who is diseased and<br />
not merely diseased parts <strong>of</strong> the patients. Every person is<br />
unique and dementia affects people differently no two people<br />
will follow exactly the same course and the homoeopathy the<br />
ultimate pathy in the world believes in individuality <strong>of</strong> the<br />
person has been shown to have a positive impact on the<br />
progress <strong>of</strong> the disease. Homoeopathy undertakes study <strong>of</strong><br />
Each Alzheimer's as separate entity. The study also involves<br />
deep evaluation <strong>of</strong> the mind and emotions & after that a<br />
suitable medicine, called as constitutional medicine is given.<br />
The medication brings deeper level healing. It should be noted<br />
that there is no single specific remedy for all the cases <strong>of</strong><br />
Alzheimer's. The exact treatment is determined only on<br />
in-depth evaluation <strong>of</strong> individual case.<br />
176 INFLUENCE OF HTR2A POLYMORPHISMS AND<br />
PARENTAL REARING ON THE PERSONALITY<br />
TRAITS IN HEALTHY JAPANESE<br />
Y. Nakamura* (1), Y. Ito (1), B. Aleksic (1), I. Kushima (1),<br />
N. Yasui-Furukori (2), T. Inada (3), Y. Ono (4), N. Ozaki (1)<br />
1. Department <strong>of</strong> Psychiatry, Nagoya University Graduate<br />
School <strong>of</strong> Medicine, Nagoya, Japan 2. Department <strong>of</strong><br />
Neuropsychiatry, Graduate School <strong>of</strong> Medicine, Hirosaki<br />
University, Hirosaki, Japan 3. Seiwa Hospital, Institute <strong>of</strong><br />
Neuropsychiatry,Tokyo, Japan 4. Health Center, Keio<br />
University, Tokyo, Japan<br />
*y-nakamu@med.nagoya-u.ac.jp<br />
Introduction: Serotonin plays a significant role in the<br />
biological basis <strong>of</strong> human behavior, psychiatric diseases and<br />
temperamental predisposition. Genetic factors and<br />
environmental influences significantly contribute to the<br />
determination <strong>of</strong> human personality traits. The main purpose<br />
<strong>of</strong> this study was to examine an influence <strong>of</strong> HTR2A<br />
polymorphisms and parental rearing on temperament in<br />
healthy Japanese. Methods: The subjects were 1,254 Japanese<br />
volunteers (male=597, female=657), and 3 SNPs (rs6311,<br />
rs6313, rs643627) were selected for genotyping. Out <strong>of</strong> 1,254<br />
subjects, 1,245 completed the 125 items <strong>of</strong> the Japanese short<br />
version <strong>of</strong> the Temperament and Character Inventory, and 572<br />
completed the Japanese version <strong>of</strong> the Parental Bonding<br />
Instrument. Result: All SNPs were in Hardy-Weinberg<br />
equilibrium. As for female subjects a significant association<br />
(p=0.003) was observed between rs643627 and novelty<br />
seeking (NS). On the other hand, maternal overprotection had<br />
significant effect on the score <strong>of</strong> harm avoidance (HA) in male<br />
subjects only (p=0.049). Conclusion: Our result indicated the<br />
relationship between the HTR2A rs643627 polymorphism and<br />
NS only in females. The interplay between HTR2A receptor<br />
and sex hormone might be responsible for the differences in<br />
temperament between males and females. The results <strong>of</strong> our<br />
study indicated that that maternal overprotection has more<br />
influence than genetic factors on HA in male subjects. We<br />
speculate that in males, the effects <strong>of</strong> genetic polymorphisms<br />
on personality traits might be nullified by parental rearing.
177 ASSOCIATION BETWEEN OXYTOCIN<br />
RECEPTOR GENE (OXTR) AND AFFECTIVE<br />
TEMPERAMENTS<br />
Y. Kawamura* (1), X. Liu (2), T. Akiyama (3), T. Shimada<br />
(1), T. Otowa (1), Y. Sakai (4), C. Kakiuchi (1), T. Umekage<br />
(5), T. Sasaki (6)<br />
1. Department <strong>of</strong> Neuropsychiatry, Graduate School <strong>of</strong><br />
Medicine, University <strong>of</strong> Tokyo 2. Department <strong>of</strong> Human<br />
Genetics, Graduate School <strong>of</strong> Medicine, University <strong>of</strong> Tokyo<br />
3. Department <strong>of</strong> Psychiatry, Kanto <strong>Medical</strong> Center NTT EC<br />
4. Department <strong>of</strong> Psychiatry, Juntendo University School <strong>of</strong><br />
Medicine 5. Division for Environment, Health and Safety,<br />
University <strong>of</strong> Tokyo 6. Office for Mental Health Support,<br />
University <strong>of</strong> Tokyo<br />
*yoshiya-tky@umin.ac.jp<br />
Background: Oxytocin is known to be related to social<br />
interaction, trust and affectivity. Affective temperaments are<br />
traits based on Kraepelin’s typological definition <strong>of</strong><br />
‘‘fundamental states’’ <strong>of</strong> manic depressive illness. They can<br />
be measured by the Temperament Evaluation <strong>of</strong> Memphis,<br />
Pisa, Paris and San Diego-Autoquestionnaire version<br />
(TEMPS-A), and it was confirmed that they had a good<br />
enough long-term stability to be considered as<br />
endophenotypes. The objective is to assess the association<br />
between oxytocin receptor gene (OXTR) polymorphism and<br />
affective temperaments. Methods: Firstly, fifteen OXTR tag<br />
single nucleotide polymorphisms (SNPs) were genotyped<br />
using TaqMan® or direct sequencing. Secondly, haplotype<br />
block structure was determined by Haploview 4.1. Lastly, the<br />
association between SNPs and affective temperaments<br />
(depressive, cyclothymic, hyperthymic, irritable and anxious<br />
temperaments) was assessed by quantitative trait association<br />
analysis permuted 10,000 times, and the association between<br />
haplotypes and the temperaments was assessed by<br />
haplotype-based quantitative trait association analysis with<br />
Bonferroni correction, using PLINK 1.06 for 493 Japanese as<br />
screened to exclude those who had lifetime diagnoses <strong>of</strong><br />
schizophrenia and other psychotic disorders by the<br />
Mini-International Neuropsychiatric Interview (MINI).<br />
Results: Two haplotype blocks were identified on OXTR.<br />
Depressive temperament was significantly associated with<br />
SNP rs11131149, rs13316193 (empirical p < 0.05) and one<br />
common haplotype CTGTGGG<br />
(rs11131149/rs2243370/rs2243369/rs13316193/rs2254298/rs2<br />
268493/rs2268491) (adjusted p < 0.01). Cyclothymic<br />
temperament was significantly associated with rs2268495<br />
(empirical p < 0.05). Irritable temperament was significantly<br />
associated with rs2268495 (empirical p < 0.01) and rs1042778<br />
(empirical p < 0.05). Conclusions: The findings suggest that<br />
OXTR polymorphisms or its haplotype are associated with<br />
affective temperaments.<br />
178 POPULATION GENETIC ANALYSIS AND<br />
ASSOCIATION STUDY OF THE<br />
CHOLECYSTOKININ-B RECEPTOR GENE WITH<br />
PERSONALITY TRAITS<br />
P. Zoë* (1), J. Bradwejn (2), J. Kennedy (3), X. Xia (4), D.<br />
Koszycki (5)<br />
1. Institute <strong>of</strong> Mental Health Research, Royal Ottawa Mental<br />
Health Centre, Ottawa, Canada 2. Department <strong>of</strong> Psychiatry,<br />
University <strong>of</strong> Ottawa, Ottawa, Canada 3. Neurogenetics<br />
Section, Clarke Division, Centre for Addiction and Mental<br />
Health, University <strong>of</strong> Toronto, Toronto, Ontario, Canada 4.<br />
Centre for Advanced Research in Environmental Genomics,<br />
University <strong>of</strong> Ottawa, Ottawa, Canada. 5. University <strong>of</strong><br />
Ottawa, Institute <strong>of</strong> Mental Health Research, Royal Ottawa<br />
Mental Health Centre, Ottawa, Canada<br />
*zoe.prichard@rohcg.on.ca<br />
A polymorphism in the cholecystokinin-receptor gene<br />
(CCKBR) has been associated with panic disorder (PD). This<br />
study attempted to associate the same polymorphism with<br />
personality traits that are postulated to increase vulnerability<br />
to PD. Healthy volunteers completed the Anxiety Sensitivity<br />
Index (ASI) and the NEO-Personality Inventory-Revised<br />
(NEO-PI-R). No association was observed between anxiety<br />
sensitivity or any personality trait with alleles previously<br />
implicated in PD. Unexpectedly, Population genetics analysis<br />
revealed the Caucasian sample (n = 103) to be in<br />
Hardy-Weinberg Disequilibrium (HWD) in a sex-specific<br />
pattern. Although there were no significant differences in<br />
allele frequencies between the sexes, significant differences in<br />
genotype frequencies were observed between the sexes. The<br />
sample was also found to deviate from predictions under the<br />
neutral-equilibrium and stepwise mutation models <strong>of</strong><br />
molecular evolution. The same genotypes implicated in the<br />
deviation from Hardy Weinberg Equilibrium (HWE) were also<br />
found to be associated with scoring low for the personality<br />
traits <strong>of</strong> Openness and Conscientiousness. Interestingly,<br />
Openness and Conscientiousness are not personality traits<br />
predicted to play a role in the etiology <strong>of</strong> PD. Although this<br />
study failed to detect the predicted relationship between<br />
polymorphism and personality traits, the results are interesting<br />
because the findings <strong>of</strong>fer preliminary evidence for selection<br />
at the CCKBR gene. The method <strong>of</strong> conducting association<br />
analysis by first partitioning genotypes according to departure<br />
from HWE is novel, and is a possible method for<br />
understanding the dynamics <strong>of</strong> a population subjected to<br />
forces that affect assumptions <strong>of</strong> evolutionary neutrality.
179 CANDIDATE GENE STUDY OF SCHIZOTYPY IN<br />
NONPSYCHOTIC RELATIVES IN 270 IRISH<br />
HIGH-DENSITY SCHIZOPHRENIA FAMILIES<br />
A. Fanous* (1), D. Thiselton (2), V. Vladimirov (2), R.<br />
Amdur (1), F. O'Neill (3), D. Walsh (4), B. Riley (2), X. Chen<br />
(2), K. Kendler (2)<br />
1. Washington VA <strong>Medical</strong> Center 2. Virginia Commonwealth<br />
University 3. Queen's University, Belfast 4. Health Research<br />
Board, Dublin<br />
*ahfanous@vcu.edu<br />
Background: It has long been observed that the relatives <strong>of</strong><br />
schizophrenics, even if not psychotic themselves, have odd<br />
personality traits. These have been termed schizotypy, which<br />
may be an endophenotype. It may include magical thinking,<br />
ideas <strong>of</strong> reference, odd speech and behavior, and social<br />
isolation. Candidate gene studies <strong>of</strong> schizotypy have only<br />
been published since 2004. Furthermore, all <strong>of</strong> these previous<br />
studies have used population, rather than family-based<br />
samples. Methods: In our previous work in the Irish Study <strong>of</strong><br />
High-Density Schizophrenia families (n=270 families and<br />
1408 individuals), we have reported positive associations in<br />
DTNBP1, COMT, RGS4, Akt1, TAAR6, SPEC2, PDZ-GEF2,<br />
ACSL6, IL3, CSFR2B, MEGF10, and FBXL21. We<br />
hypothesized that at least some <strong>of</strong> these genes would contain<br />
SNPs that influence schizotypy in non-psychotic relatives in<br />
this sample. We tested schizotypy as a quantitative trait using<br />
122 SNPs in these genes, previously tested for association<br />
with schizophrenia, using the UNPHASED package. The<br />
schizotypy trait consisted <strong>of</strong> the sum <strong>of</strong> ratings on all <strong>of</strong> the<br />
individual items <strong>of</strong> the DSM-III-R criteria for Schizotypal<br />
Personality Disorder. Results: We observed 4 contiguous<br />
SNPs in MEGF10 with P
181 RELATIONSHIP BETWEEN D2 and D4<br />
DOPAMINE RECEPTOR POLYMORPHISMS, STRESS<br />
AND THE PERSONALITY TRAITS OF<br />
EXTRAVERSION AND PSYCHOTICISM IN SONS OF<br />
ALCOHOLICS<br />
T. Ozkaragoz* (1), E. Noble (1)<br />
1. UCLA<br />
*tulino@ucla.edu<br />
The influence <strong>of</strong> both molecular genetic (D2 and D4 dopamine<br />
receptor polymorphisms) and environmental factors (i.e.<br />
stress) on the personality traits <strong>of</strong> Psychoticism, Extraversion<br />
and Neuroticism as measured by the Jr. Eysenck Personality<br />
Questionnaire was investigated. High scorers on the<br />
Psychoticism scale are described as impulsive, unempathic,<br />
aggressive and sensation-seeking. Participants were 49 12-17<br />
year old sons <strong>of</strong> <strong>of</strong> either active or recovering alcoholic<br />
parents. It was found that sons <strong>of</strong> alcoholics (SAs) with the<br />
DRD2 A1+ allele (A1/A1 and A1/A2 genotypes) showed<br />
higher Psychoticism and Extraversion scores than SAs with<br />
the DRD2 A1- allele (A2/A2 genotype). There also was a<br />
positive relationship between stress and Psychoticism.<br />
Furthermore, an interaction between the D4 dopamine<br />
receptor gene and stress was found. Specifically, the<br />
Psychoticism scores <strong>of</strong> SAs with the DRD4 7R+ allele (7R/7R<br />
and 7R/Non7R genotypes) were more strongly influenced by<br />
stress than the scores <strong>of</strong> SAs' with the DRD4 7R- allele<br />
(Non7R/Non7R genotype) on this scale. A negative<br />
relationship between age and Neuroticism and a positive<br />
relationship between stress and Neuroticism also was found.<br />
The results <strong>of</strong> this study suggest that the A1+ allele <strong>of</strong> the D2<br />
dopamine receptor gene influences the expression <strong>of</strong><br />
Psychoticism and Extraversion in adolescent sons <strong>of</strong><br />
alcoholics. In addition, both the 7R+ allele <strong>of</strong> the D4<br />
dopamine receptor gene and level <strong>of</strong> stress also appear to<br />
contribute to the expression <strong>of</strong> Psychoticism.
PHARMACOGENETICS<br />
182 AMINE RESISTANCE" IN BRAIN REWARD<br />
CIRCUITRY AS A FUNCTION OF DRD2 GENE<br />
POLYMORPHISMS IN REWARD DEFICIENCY<br />
SYNDROME (RDS): SYNAPTAMINE COMPLEX<br />
VARIANT INDUCED "DOPAMINE SENSITIVITY"<br />
AND ENHANCEMENT OF HAPPINESS<br />
K. Blum* (1, 2, 3), E. Stice (4), B. Downs (2), R. Waite (2),<br />
E. Braverman (3, 5), M. Kerner (3), M. Oscar-Berman (6)<br />
1. Department <strong>of</strong> Physiology and Pharmacology, Wake Forest<br />
Unversity; Winston-Salem, North Carolina 2. Department <strong>of</strong><br />
Nutrigenomics, LifeGen, Inc.; San Diego, California 3. PATH<br />
Clinics, New York, New York 4. Oregon Research Institute;<br />
Eugene, Oregon 5. Department <strong>of</strong> Neurological Surgery, Weill<br />
Cornell College <strong>of</strong> Medicine; New York, N.Y. 6. Departments<br />
<strong>of</strong> Psychiatry and Anatomy & Neurobiology, Boston<br />
University School <strong>of</strong> Medicine; and Boston VA Healthcare<br />
System, Boston, MA<br />
*drd2gene@aol.com<br />
Since the discovery <strong>of</strong> the double helix, brain function in<br />
terms <strong>of</strong> both physiology and behavioral traits have resulted in<br />
a plethora <strong>of</strong> studies linking these activities to<br />
neurotransmitter functions having a genetic basis. The<br />
mechanisms underlining gene expression and the potential<br />
impairments due to polygenic inheritance -- and as such,<br />
predisposition to addiction and self-destructive behaviors --<br />
have been amply identified. Human genetic information<br />
derived from these scientific explorations may have important<br />
links to feelings <strong>of</strong> well-being and potentially phenomena<br />
related to “happiness.” While non-genetic oriented biological<br />
explorations <strong>of</strong> social and political research have addressed<br />
the impact <strong>of</strong> social and institutional environments on human<br />
attitudes and behaviors, there is a paucity <strong>of</strong> research<br />
exploring gene-environmental influences on these parameters.<br />
Moreover, traditional fields such as Psychology and Molecular<br />
Biology are subject to inherent limitations that may be<br />
resolved only through collaboration across disciplines. By<br />
contrast, attempts to identify key "vector influences" that link<br />
genes, the brain, and social behaviors to a so-called state <strong>of</strong><br />
"happiness" are important areas for developing a new science<br />
<strong>of</strong> human nature. Two disciplines, one relating to<br />
spirituality("Genospirtuality") and the other to Political<br />
Science, are beginning to emerge as fruitful grounds for<br />
identification <strong>of</strong> specific polymorphic gene associations and<br />
may pave the way to advance this new science. We address<br />
the age-old question <strong>of</strong> "Nature vs. Nurture" as it relates to the<br />
question <strong>of</strong> happiness and to the larger question relating to<br />
human nature as an emerging science. It is well established<br />
that in both food addicted and obese individuals there<br />
is "dopamine resistance” due to an association with the<br />
DRD2gene A1 allele. We propose a course <strong>of</strong> action that will<br />
impact globesity, i.e., that a positive effect on body<br />
composition/body mass index (BMI) will increase not only<br />
self-image but also wellness, including a state <strong>of</strong> happiness.<br />
Further, we propose a genetic map <strong>of</strong> happiness. We provide<br />
preliminary evidence that utilization <strong>of</strong> a customized DNA<br />
directed nutraceutical, LG839 [SYNATAMINECOMPLEX<br />
VARIANT], significantly increased happiness (p < 0.05) in<br />
obese subjects. Synaptamine is a putative dopaminergic<br />
agonist, and it also is being investigated by using fMRI to<br />
measure food induced blunted response in reward circuitry<br />
(e.g., dorsal striatum and orbit<strong>of</strong>rontal cortex) in DRD2 A1<br />
allele humans. We cautiously suggest that long-term activation<br />
<strong>of</strong> dopaminergic receptors (i.e., DRD2 receptors) will<br />
proliferate D2 receptors leading to enhanced "dopamine<br />
sensitivity" and an increased sense <strong>of</strong> happiness.<br />
183 SMOKING CESSATION MOLECULAR GENETICS<br />
G. Uhl* (1), J. Rose (2), T. Drgon (1), F. Behm (2), D.<br />
Walther (1), C. Johnson (1), Q. Liu (1)<br />
1. NIH 2. Duke University<br />
*guhl@intra.nida.nih.gov<br />
Twin data support substantial heritable contributions to<br />
individual differences in ability to quit smoking. Genome wide<br />
association approaches identify small chromosomal regions<br />
that are reproducibly tagged by clusters <strong>of</strong> SNPs whose allele<br />
frequencies distinguish successful vs unsuccessful quitters in<br />
clinical trial, general practice and community quitter settings<br />
in the US and UK. Genes identified by these<br />
clustered, reproducibly-positive results include numbers <strong>of</strong><br />
cell adhesion related genes, genes implicated in indivdual<br />
differences in memory, and "druggable" genes. Some markers<br />
display stronger association with quitting in trials <strong>of</strong><br />
bupropion, some with nicotine replacement (NRT) but most<br />
with both. Data from retrospective analysis provided a v1.0<br />
"quit success" genetic score that has provided significant<br />
prospective results. This v1.0 score prospectively provides a<br />
significant interaction with FTND assessments <strong>of</strong> nicotine<br />
dependence to predict dose-related responses in individual<br />
differences in ability to quit smoking. Taken together, these<br />
data support polygenic contributions to smoking cessation<br />
success from a number <strong>of</strong> allelic variants, including those that<br />
we have validated in v1.0 quit success genotype scores.
184 GENE REGULATION BY DRUGS USED TO<br />
TREAT MOOD DISORDERS<br />
X. Deng* (1), P. McHugh (1), K. Doudney (1), P. Joyce (2),<br />
M. Kennedy (1)<br />
1. Christchurch, New Zealand 2. Department <strong>of</strong> Psychological<br />
Medicine, University <strong>of</strong> Otago, Christchurch, New Zealand<br />
*sarah.deng@otago.ac.nz<br />
Antidepressant (AD) and mood stabilizer drugs are the main<br />
treatments for mood disorders including major depressive<br />
disorder and bipolar disorder. Although widely used, the<br />
mechanisms <strong>of</strong> action <strong>of</strong> these drugs are not well understood.<br />
Our first attempts to establish a model cell culture system to<br />
study these drugs involved exposure <strong>of</strong> RN46A cells for 14<br />
days, with various drugs, followed by transfection with<br />
luciferase reporter constructs, in order to monitor gene<br />
expression effects.Of the 19 promoter constructs tested,<br />
occasional significant differences in expression were noted<br />
between drug-exposed and control cell cultures. However,<br />
these proved not to be robust or reproducible despite<br />
considerable care in experimental design and execution. One<br />
outcome <strong>of</strong> this work, however, was the finding that 72 hours<br />
exposure <strong>of</strong> cells with the AD paroxetine appeared to give<br />
optimal expression differences, which was chosen for future<br />
experiments. Our second approach was to use quantitative<br />
PCR analysis <strong>of</strong> candidate genes after exposure <strong>of</strong> RN46A<br />
cells to various drugs for 72 hours. Our most striking results to<br />
date are: (1) a gene called sepiapterin reductase (SPR), which<br />
encodes a key enzyme in neurotransmitter synthesis, is<br />
massively (>1700-fold, p=0.001) and specifically up-regulated<br />
by sodium valproate; (2) another gene in the same pathway<br />
(QDPR) is also significantly up-regulated; (3) the serotonin<br />
receptor 2A (HTR2A) is significantly down-regulated by<br />
paroxetine and citalopram, the two selective serotonin<br />
reuptake inhibitor antidepressants (p=.001 to .003); and (4) the<br />
histone deacetylase HDAC2 gene is reduced significantly by<br />
all <strong>of</strong> the drug treatments except sodium valproate.<br />
185 INFLUENCE OF TAAR6 POLYMORPHISMS ON<br />
RESPONSE TO ARIPIPRAZOLE<br />
A. Serretti (1), C. Pae (2), A. Chiesa* (1), L. Mandelli (1), D.<br />
De Ronchi (1)<br />
1. Institute <strong>of</strong> <strong>of</strong> Psychiatry, University <strong>of</strong> Bologna 2. The<br />
Catholic University <strong>of</strong> Korea College <strong>of</strong> Medicine, Bucheon,<br />
Kyounggi-Do, Republic <strong>of</strong> Korea<br />
*albertopnl@yahoo.it<br />
Background: There is some evidence suggesting a role <strong>of</strong><br />
TAAR6 in schizophrenia. The aim <strong>of</strong> the present study is to<br />
investigate possible influences <strong>of</strong> a panel <strong>of</strong> markers in<br />
TAAR6 (rs8192625, rs4305745, rs4305746, rs6903874,<br />
rs6937506) on clinical outcomes and side effects in a sample<br />
<strong>of</strong> Korean schizophrenic aripiprazole treated patients.<br />
Methods: Efficacy was assessed at baseline and weeks 1, 2, 4,<br />
6, 8 using CGI-S, CGI-I, BPRS and SANS. Side effects were<br />
evaluated through SAS, BAS and AIMS. Multivariate analysis<br />
<strong>of</strong> covariance (MANCOVA) was used to test possible<br />
influences <strong>of</strong> single SNPs on clinical and safety scores. Tests<br />
for associations using multi-marker haplotypes were<br />
performed using the statistics environment “R”. Results: A<br />
significant time per genotype interaction was found between<br />
rs4305746 and repeated measures <strong>of</strong> ANOVA on BPRS scores<br />
(F=2.45, d.f.=10,365, p=0.008). In particular G/A and A/A<br />
genotype patients were more likely to improve over time.<br />
Permutation analysis confirmed a significant effect <strong>of</strong><br />
rs4305746 on course <strong>of</strong> BPRS scores over time (p=0.007).<br />
Haplotype analysis did not revealed any significant association<br />
with clinical and safety scores at any time. Conclusion: A<br />
possible association could exist between some genotypes in<br />
TAAR6 and response to aripiprazole. However, several<br />
limitations as the small sample size, the finding related to a<br />
single scale and the possibility <strong>of</strong> false positive findings<br />
require further investigations.
186 GRIA1, GRIA4, GRIA3 AND GRIK4 GENE<br />
VARIANTS INFLUENCE HALOPERIDOL EFFICACY<br />
AND SIDE EFFECTS IN A SAMPLE OF<br />
SCHIZOPHRENIC PATIENTS<br />
A. Serretti* (1), A. Drago (1), I. Giegling (2), A. Hartmann<br />
(2), M. Schafer (2), H. Moller (2), D. De Ronchi (1), D.<br />
Rujescu (2)<br />
1. Institute <strong>of</strong> Psychiatry, University <strong>of</strong> Bologna, Italy 2.<br />
Department <strong>of</strong> Psychiatry, Ludwig Maximilians University,<br />
Munich, Germany<br />
*alessandro.serretti@unibo.it<br />
The unbalanced orchestration <strong>of</strong> the glutamate system is<br />
thought to underlie the pathophysiology <strong>of</strong> schizophrenic<br />
disorders. Consistently, there is evidence that the glutamate<br />
system is pivotal to the effects <strong>of</strong> the antipsychotic treatments.<br />
We investigated a set <strong>of</strong> 50 SNPs located in 11 genes coding<br />
for subunits <strong>of</strong> glutamatergic receptors, as modulators <strong>of</strong> the<br />
efficacy <strong>of</strong> haloperidol in a sample <strong>of</strong> 101 schizophrenic<br />
patients. Furthermore, we investigated the possible impact on<br />
the motor side effect pr<strong>of</strong>ile associated with haloperidol<br />
treatment. Patients were administered the PANSS and ESRS<br />
tests at baseline and at day 3, 7, 14, 21 and 28. MANCOVA<br />
analysis for repeated measures was applied along with the<br />
FDR correction for multiple tests. T/T genotype at rs472792<br />
(GRIA1) was found to be associated with a better response to<br />
haloperidol treatment than G/T at PANSS positive at week 2<br />
(f=6.18, p=0.001). C/C genotype at rs1461231 (GRIA1) was<br />
found to be associated with a better response to treatment<br />
compared to G/G genotype at PANSS positive scores at week<br />
1 (f=7.32, p=0.00032). Those findings provide further support<br />
to the glutamatergic theory <strong>of</strong> schizophrenia identifying<br />
putative modulators <strong>of</strong> the antipsychotic effect <strong>of</strong> haloperidol.<br />
187 CLINICAL PHARMACOGENETICS, REASONS<br />
FOR THE SLOW APPLICATION AND REALISTIC<br />
EXPECTATIONS<br />
A. Serretti* (1)<br />
1. Institute <strong>of</strong> Psychiatry, University <strong>of</strong> Bologna, Bologna,<br />
Italy<br />
*alessandro.serretti@unibo.it<br />
The practical application <strong>of</strong> pharmacogenetics is not as<br />
straightforward as expected, particularly in psychiatric<br />
disorders. Despite the large benefit expected, only a very small<br />
numbers <strong>of</strong> clinical applications are available. The reasons for<br />
this are many, in particular the key questions are: Is science<br />
robust enough for routine application? Are physicians and<br />
patients ready? Are stakeholders (e.g. Government, insurance<br />
industry, etc) ready to pay and implementing? What is the<br />
position <strong>of</strong> the pharmaceutical industry? The presentation will<br />
cover such aspects <strong>of</strong>fering a coverage <strong>of</strong> present status and<br />
realistic expectations in the field.<br />
188 FURTHER EVIDENCE SUPPORTING THE<br />
INFLUENCE OF BDNF ON THE OUTCOME OF<br />
DEPRESSION. INDEPENDENT EFFECT OF BDNF<br />
AND HARM AVOIDANCE<br />
L. Mandelli* (1), M. Mazza (2), D. Marco (2), G. Martinotti<br />
(2), D. Tavian (3), E. Colombo (3), S. Missaglia (3), G. Negri<br />
(3), D. De Ronchi (1), R. Colombo (2, 3), L. Janiri (2)<br />
1. University <strong>of</strong> Bologna, Italy 2. Catholic University <strong>of</strong><br />
Rome, Italy 3. Catholic University <strong>of</strong> Milan, Italy<br />
*laura.mandelli@unibo.it<br />
Brain derived neurotrophic factor (BDNF) is a candidate gene<br />
for response to antidepressant treatment, as its product exerts<br />
trophic effects on hippocampus and serotoninergic neurons.<br />
Moreover, BDNF levels are increased by chronic<br />
administration <strong>of</strong> antidepressants. However, response to<br />
pharmacological treatments is moderated by both genetic and<br />
individuals factors. In previous studies, we confirmed the<br />
influence <strong>of</strong> the temperamental trait <strong>of</strong> Harm avoidance (HA)<br />
on outcome from depression and we observed a significant<br />
interaction with the promoter polymorphism <strong>of</strong> serotonin<br />
transporter (5-HTTLPR). In the present study we aimed to<br />
investigate the effect <strong>of</strong> 2 BDNF polymorphisms (rs6265 –<br />
also called Val66Met– and rs11030104) on medium-term<br />
outcome in a naturalistic sample <strong>of</strong> 86 depressed bipolar (BP)<br />
spectrum patients, taking into account a number <strong>of</strong> clinical<br />
features including HA. Rs6265 and rs11030104 were in full<br />
linkage disequilibrium. Both single marker and haplotypes<br />
analysis showed a significant association with severity <strong>of</strong><br />
depression at 6 months after intake. In particular, the<br />
haplotype composed by the less frequent alleles A-C was<br />
associated with a poorer outcome. HA maintained a significant<br />
effect on depressive outcome, independently from BDNF<br />
genotypes. However, HA’s influence appeared to be more<br />
consistent in patients carrying the protective G-T combination<br />
<strong>of</strong> alleles.
189 NDE1 VARIANT MODULATES OUTCOME FOR<br />
DEPRESSION TREATED WITH ESCITALOPRAM<br />
W. Hennah* (1), L. Muhonen (2), S. Saarikoski (2), J. Lahti<br />
(3), L. Peltonen (1), J. Lönnqvist (2), H. Alho (2)<br />
1. Institute for Molecular Medicine Finland FIMM, Nordic<br />
EMBL Partnership for Molecular Medicine, Helsinki, Finland<br />
2. National Institute for Health and Welfare, Department <strong>of</strong><br />
Mental Health and Substance Abuse Services, Helsinki,<br />
Finland 3. University <strong>of</strong> Helsinki, Department <strong>of</strong> Psychology,<br />
Helsinki, Finland<br />
*william.hennah@thl.fi<br />
In an analysis <strong>of</strong> public datasets it was demonstrated that there<br />
are correlations between variants in the NDE1 gene and levels<br />
<strong>of</strong> gene expression for existing targets for drugs developed for<br />
depression and psychosis. One such target was HTR3A, which<br />
is targeted by the drug memantine. In a clinical trial studying<br />
major depressive disorder comorbid with alcohol dependence,<br />
the effectiveness <strong>of</strong> memantine and escitalopram as treatments<br />
were evaluated. This demonstrated that both treatments were<br />
able to significantly reduce the baseline levels <strong>of</strong> depression<br />
and anxiety. Here we have tested if the NDE1 variant<br />
rs4781678 correlates with treatment outcome in depression.<br />
We further tested for correlation dependent on drug treatment.<br />
Outcome in depression was significantly improved in males<br />
homozygous for the A allele <strong>of</strong> rs4781678 (p = 0.022).<br />
However, this was dependent on treatment by escitalopram,<br />
not the hypothesised memantine. Further bioinformatics and<br />
studies <strong>of</strong> public datasets revealed that although NDE1<br />
modulates expression levels <strong>of</strong> one <strong>of</strong> the nine targets for<br />
memantine, it also modulates the expression level <strong>of</strong> the<br />
principal metabolizing enzyme <strong>of</strong> escitalopram, CYP2C19. A<br />
variant in strong LD with rs4781678 demonstrated that, in<br />
human post-mortem brain tissue, carriers <strong>of</strong> the A allele have<br />
significantly decreased amounts <strong>of</strong> CYP2C19 gene expression<br />
(p = 0.029). We provide pro<strong>of</strong> <strong>of</strong> concept that the DISC1<br />
pathway could be used as a means to target treatment for<br />
major mental illnesses, as hypothesised by Hennah and<br />
Porteous, specifically by demonstrating that the NDE1 variant<br />
rs4781678 modulates outcome for depression when treated<br />
using escitalopram.<br />
190 CIRCADIAN CLOCK GENES AND RESPONSE TO<br />
ANTIDEPRESSANTS IN GENDEP<br />
R. Keers* (1), R. Smith (1), R. Uher (1), P. Huezo-Diaz (1),<br />
A. Elkin (1), M. Rietschel (2), T. Schulze (2), N. Henigsberg<br />
(3), Z. Kovacic (3), A. Marusic (4), D. Kozel (5), O. Mors (6),<br />
E. Larsen (5), J. Hauser (7), P. Czerski (7), W. Maier (8), J.<br />
Perez (9), A. Placentino (9), J. Mendlewicz (10), D. Souery<br />
(10), A. Farmer (11), P. McGuffin (12), I. Craig (11), K.<br />
Aitchison (11)<br />
1. Institute <strong>of</strong> Psychiatry at King’s College London, MRC<br />
SGDP Centre, London, UK 2. Zentralinstitut für Seelische<br />
Gesundheit, Division <strong>of</strong> Genetic Epidemiology in Psychiatry,<br />
Mannheim, Germany 3. University <strong>of</strong> Zagreb, Croatian<br />
Institute for Brain Research, Zagreb, Croatia 4. Institute <strong>of</strong><br />
Public Health, Ljubljana, Slovenia 5. University Hospital,<br />
Department <strong>of</strong> Psychiatry, Risskov, Denmark 6. Aarhus<br />
University Hospital, Department <strong>of</strong> Psychiatry, Risskov,<br />
Denmark 7. Academic Dept <strong>of</strong> Medicine, Poznan, Poland 8.<br />
University <strong>of</strong> Bonn, Anstalt des öffentlichen Rechts, für den<br />
Fachbereich Medizin, Bonn, Germany 9. IRCCS, Centro San<br />
Giovanni di Dio, FBF, Biological Psychiatry Unit and Dual<br />
Diagnosis Ward, Brescia, Italy 10. Free University <strong>of</strong><br />
Brussels, Department <strong>of</strong> Psychiatry, Brussels, Belgium 11.<br />
Farmer A.E.1, McGuffin P,1 Craig I.1, Aitchison K.J.1<br />
Institute <strong>of</strong> Psychiatry at King’s College London, MRC SGDP<br />
Centre, London, UK 12. Aitchison K.J.1 Institute <strong>of</strong><br />
Psychiatry at King’s College London, MRC SGDP Centre,<br />
London, UK<br />
*robert.keers@kcl.ac.uk<br />
There is substantial individual variation in response to<br />
antidepressants, and genetic variation may, in part, explain<br />
these differences. A number <strong>of</strong> successful treatments for<br />
depression have downstream effects on the circadian rhythm.<br />
For example, the selective serotonin-reuptake inhibitor (SSRI)<br />
fluoxetine has been shown to induce a phase shift in cell<br />
culture studies. Functional polymorphisms in genes implicated<br />
in the circadian rhythm may therefore be predictive <strong>of</strong><br />
response to antidepressants. GENDEP, a part-randomised drug<br />
trial collected longitudinal data on the response <strong>of</strong> more than<br />
800 patients undergoing treatment with either an SSRI<br />
(escitalopram) or a tricyclic antidepressant (nortriptyline).<br />
Two functional polymorphisms in genes associated with the<br />
circadian clock were genotyped in this sample including a<br />
variable number tandem repeat in PER3 and a SNP (rs180260)<br />
in CLOCK. Both polymorphisms moderated response to both<br />
drugs and these effects were age-dependent. This suggests that<br />
circadian clock genes may not only be important in the<br />
aetiology <strong>of</strong> mood disorders but also in the prediction <strong>of</strong><br />
response to antidepressants.
191 GENETIC STUDY OF<br />
CATECHOL-O-METHYL-TRANSFERASE IN<br />
TARDIVE DYSKINESIA<br />
C. Zai* (1), D. Mueller (1), D. Mueller (1), V. de Luca (1), X.<br />
Ni (1), D. Sibony (1), A. Aristotle (1), H. Meltzer (2), J.<br />
Lieberman (3), S. Potkin (4), G. Remington (1), J. Kennedy<br />
(1)<br />
1. Centre for Addiction and Mental Health 2. Psychiatric<br />
Hospital at Vanderbilt University 3. New York State<br />
Psychiatric Institute, Columbia University <strong>Medical</strong> Centre 4.<br />
University <strong>of</strong> California, Irvine<br />
*clement_zai@camh.net<br />
Tardive dyskinesia (TD) is a severe motor side effect <strong>of</strong><br />
long-term antipsychotic medication. Changes in dopamine<br />
neurotransmission have been implicated in the etiology <strong>of</strong><br />
TD. Catechol-O-Methyl-Transferase (COMT) is an enzyme<br />
that metabolizes dopamine. The functional Val158Met<br />
polymorphism has been associated with TD; however, the<br />
small effect size reported in a recent meta-analysis suggests<br />
that additional genetic factors in COMT may contribute to TD<br />
development. We investigated four single-nucleotide<br />
polymorphisms in addition to the functional Val158Met<br />
variant in the COMT gene for association with TD. Three <strong>of</strong><br />
the polymorphisms have been associated with pain sensitivity<br />
and COMT enzymatic activity (Nackley et al, 2006). We<br />
genotyped the five COMT polymorphisms in our sample <strong>of</strong><br />
schizophrenia/schizoaffective disorder patients (n=196<br />
Caucasians and 30 African Americans) using commercially<br />
available assays and performed statistical analyses, which<br />
included comparing the severity <strong>of</strong> TD among patients<br />
carrying different COMT variants. We found the rs165599<br />
marker in the 3’ untranslated region <strong>of</strong> the COMT gene to be<br />
marginally associated with TD occurrence. We did not find a<br />
significant association <strong>of</strong> the other four tested polymorphisms<br />
or their combinations with TD in our samples. When we<br />
included age and sex as covariates in the analyses, the results<br />
were not significant. We will be performing an updated<br />
meta-analysis <strong>of</strong> the Val158Met polymorphism, including<br />
additional studies. The results with our sample suggest that<br />
the COMT gene is not a major factor in TD, but further studies<br />
with additional markers in larger clinical samples are required.<br />
192 ASSOCIATION OF OPRM1 DNA VARIANTS<br />
GENETIC CORRELATIONS IN HEROIN ADDICTED<br />
PATIENTS UNDERGOING NALTREXONE IMPLANT<br />
TREATMENT.<br />
A. Scott* (1, 2), N. Morris (1), G. Hulse (1), D. Wildenauer<br />
(1), S. Schwab (1, 2, 3)<br />
1. School <strong>of</strong> Psychiatry and Clinical Neurosciences,<br />
University <strong>of</strong> Western Australia 2. Centre for <strong>Medical</strong><br />
Research and Western Australian Institute for <strong>Medical</strong><br />
Research, University <strong>of</strong> Western Australia 3. School <strong>of</strong><br />
Medicine and Pharmacology, University <strong>of</strong> Western Australia<br />
* ascott@cyllene.uwa.edu.au<br />
While environmental factors are likely to contribute to<br />
different degrees <strong>of</strong> addiction, it is becoming clear that<br />
susceptibility is strongly influenced by an individual’s genetic<br />
makeup. Heroin has one <strong>of</strong> the highest levels <strong>of</strong> genetic<br />
variance compared to other illicit drugs, in particular<br />
marijuana, stimulants, sedatives and psychedelics. Much<br />
research into heroin addiction genetics has focussed on the<br />
µ-opioid receptor (OPRM1), which is the primary target for<br />
heroin action. The coding region polymorphism A118G<br />
(Asn40Asp) has been the primary focus <strong>of</strong> interest. This<br />
genetic variant has recently been associated with treatment<br />
outcome in alcoholism using naltrexone. We have genotyped<br />
this polymorphism in a large sample <strong>of</strong> heroin addicted<br />
patients who have been treated with naltrexone implants. In<br />
total a cohort <strong>of</strong> 750 heroin addicted Caucasian patients have<br />
been collected. Phenotypic data such as naltrexone serum<br />
levels after implant and treatment outcome as measured by<br />
repeated contact with the clinic was established. High<br />
throughput Taqman assays available on demand from Applied<br />
Biosystems have been used for genotyping, and association <strong>of</strong><br />
this polymorphism with treatment outcome in heroin addiction<br />
was attempted. Due to the large number <strong>of</strong> patients, our study<br />
has a high power for showing association with genetic<br />
variants. The unique phenotypic characterization <strong>of</strong> our study<br />
allows conclusion on treatment outcome using naltrexone<br />
implants in heroin addiction.
193 ALTERATION IN THE RATIO OF BAX/BCL-2<br />
EXPRESSION LEVEL IN MODIFIED<br />
ELECTROCONVULSIVE THERAPY<br />
A. Tsutsumi*, S. Kawashige, T. Kanazawa, H. Kikuyama, J.<br />
Koh, H. Yoneda<br />
* psy063@poh.osaka-med.ac.jp<br />
Schizophrenia is generally considered as a<br />
neurodevelopmental disorder. Evidences for progressive<br />
clinical deterioration and subtle neurostructural changes<br />
following the onset <strong>of</strong> psychosis has led to the hypothesis that<br />
apoptosis may contribute to the pathophysiology <strong>of</strong><br />
schizophrenia. Among the antipsychoticdrugs, olanzapine may<br />
have neuroprotective effects, whereas haloperidol was<br />
apparently neurotoxic through some mechanism apoptosis<br />
(Kim NR et al: 2008). Modified-electroconvulsive therapy<br />
(m-ECT) isa widely used and efficient treatment in psychiatry,<br />
although the basis for its therapeutic effect is still unknown.<br />
There are some reports which indicate therelation with m-ECT<br />
and TNF-alpha (HestadKA et al: 2003). We had also<br />
investigated the mRNA expression levels<strong>of</strong> TNF-alpha, and<br />
found out the relationship between TNF-alpha and efficacy in<br />
the schizophrenia. TNF-alpha serves as potent inductors <strong>of</strong><br />
apoptosis and changes the ratio <strong>of</strong> Bax-/Bcl-Xl expression in<br />
human (Szuster-CiesielskaA et al: 2008). Therefore, we<br />
hypothesized that therapeutic mechanism <strong>of</strong> m-ECT might be<br />
associated with apoptosis. We investigated mRNA expression<br />
levels <strong>of</strong> Bax and Bcl-2 to see if there is relationship with<br />
efficacy in the schizophrenia treated with m-ECT.<br />
194 ALTERATION IN GSK-3β MRNA EXPRESSION<br />
ON THE TREATMENT BOTH BY SDAS AND BY<br />
M-ECT FOR SCHIZOPHRENIA<br />
S. Kawashige*, A. Tsutsumi, T. Kanazawa, H. Kikuyama, J.<br />
Koh, H. Yoneda<br />
* seiyart@gmail.com<br />
Akt-GSK-3β signaling has been recently reported as<br />
associated not only with bipolar disorder, but also with<br />
schizophrenia. Glycogen synthase kinase-3β (GSK-3β) is<br />
considered as a target <strong>of</strong> lithium. Emamian et al. reported a<br />
decrease in AKT1 protein levels and Ser9 phosphorylation <strong>of</strong><br />
GSK-3β in the peripheral lymphocytes and brains <strong>of</strong><br />
schizophrenia patients. Moreover, increased serine<br />
phosphorylation <strong>of</strong> GSK-3β in brain <strong>of</strong> mouse was also<br />
induced by electroconvulsive seizure treatment. (Roh MS et<br />
al. 2003). We investigate the alteration <strong>of</strong> GSK-3β in<br />
schizophrenia with gene expression analysis (RT-PCR). With<br />
employing the mRNA derived from peripheral blood <strong>of</strong><br />
schizophrenia treated by SDAs (n=10), by m-ECT (n=10) and<br />
control (n=3), expression levels are determined at the points <strong>of</strong><br />
every four weeks (0W, 4W, 8W). The role <strong>of</strong> GSK-3β will be<br />
discussed in the conference.<br />
195 CANNABINOID TYPE-1 RECEPTOR GENE<br />
POLYMORPHISMS ARE NOT ASSOCIATED WITH<br />
OLANZAPINE-INDUCED WEIGHT GAIN<br />
Y. Park (1), J. Choi (2), S. Kang (1), L. Kim (1), H. Lee* (1)<br />
1. Inje University College <strong>of</strong> Medicine 2. Korea University<br />
College <strong>of</strong> Medicine<br />
* leehjeong@korea.ac.kr<br />
Objective: Olanzapine is an atypical antipsychotic known to<br />
cause considerable weight gain. The CNR1 cannabinoid<br />
receptor is involved in energy balance control, stimulating<br />
appetite and increasing body weight. In the present study, we<br />
investigated the 1359G/A (rs1049353), 4895A/G (rs806368),<br />
and rs4707436 polymorphisms in the CNR1 gene and weight<br />
gain in a Korean schizophrenic patients receiving olanzapine<br />
treatment. Methods: Weight and height measurements were<br />
obtained prior to starting olanzapine and measured again after<br />
long-term treatment in 79 schizophrenic patients. Genotyping<br />
for the CNR1 polymorphisms were performed using<br />
PCR-RFLP methods. Results: There were no association<br />
between three CNR1 gene polymorphism and body weight<br />
change from baseline to the endpoint after olanzapine<br />
treatment (p>0.05). There were also no significant differences<br />
in genotype or allele frequencies between the severe<br />
weight-gain (more than 7%) and less weight-gain (less than<br />
7%) groups. The haplotype analyses did not show the<br />
significant differences between two groups. Conclusion:<br />
Within the limitations imposed by the size <strong>of</strong> the clinical<br />
sample, our findings suggest that CNR1 gene polymorphisms<br />
may be not associated with olanzapine-induced weight gain.
196 NO ASSOCIATION BETWEEN IL-10 AND<br />
TNF-alpha GENES POLYMORPHISMS AND TARDIVE<br />
DYSKINESIA IN SCHIZOPHRENIA<br />
S. Kang (1), J. Choi (1), H. Lee* (1), L. Kim (1)<br />
1. Korea University College <strong>of</strong> Medicine<br />
* leehjeong@korea.ac.kr<br />
Objective: Cytokines has been reported to be associated with<br />
several psychiatric illnesses including schizophrenia.<br />
Antipsychotic treatment has also been involved in the altered<br />
levels <strong>of</strong> some cytokines. There are emerging evidences<br />
suggest that the development <strong>of</strong> TD is related to the oxidative<br />
stress, excitotoxicity, and immune activation. The purpose <strong>of</strong><br />
this study is to investigate whether single-nucleotide<br />
polymorphisms (SNPs) <strong>of</strong> interleukin(IL)-10 and tumor<br />
necrosis factor(TNF)-α genes are associated with the<br />
susceptibility <strong>of</strong> TD and schizophrenia. Methods: Two<br />
hundred and nine unrelated Korean schizophrenic patients (83<br />
TD and 126 non-TD patients) and two hundred and twelve<br />
normal healthy controls participated in the present study. The<br />
schizophrenic participants consisted <strong>of</strong> patients with (n=83)<br />
and without (n=126) TD who were matched for antipsychotic<br />
drug exposure and other relevant variables. All the<br />
schizophrenic patients met the criteria for a diagnosis <strong>of</strong><br />
schizophrenia as determined by board-certified psychiatrists<br />
using the Korean version <strong>of</strong> the Structured Clinical Interview<br />
for the fourth edition <strong>of</strong> the Diagnostic and Statistical Manual<br />
<strong>of</strong> Mental Disorders. TD was diagnosed based on the<br />
Abnormal Involuntary Movement Scale (AIMS). The IL-10<br />
gene -1082G/A and TNF-α gene -308G/A SNPs were<br />
analyzed by polymerase chain reaction (PCR)-based methods.<br />
Results: The frequencies <strong>of</strong> genotypes (?2=2.65, p=0.263) <strong>of</strong><br />
the IL-10 gene -1082G/A SNP and the frequencies <strong>of</strong><br />
genotypes (?2=0.13, p=0.715) <strong>of</strong> the TNF-α gene -308G/A<br />
SNP did not differ significantly between schizophrenic<br />
patients with and without TD. The distribution <strong>of</strong> genotype at<br />
two polymorphisms between the schizophrenic patients and<br />
controls was not significantly different, either (p>0.05). MDR<br />
analysis did not show a significant interaction between the<br />
IL-10 gene and TNF-α gene and susceptibility to TD and<br />
schizophrenia (p>0.05) Conclusions: This is the first study on<br />
the association <strong>of</strong> antipsychotics-induced TD with gene<br />
polymorphisms in cytokine production. These results suggest<br />
that the IL-10 gene -1082G/A and TNF-α gene -308G/A SNPs<br />
are not associated with TD and schizophrenia in a Korean<br />
population. Further association studies <strong>of</strong> TD with other<br />
candidate genes for cytokines would help us understand the<br />
pathophysiological mechanisms <strong>of</strong> TD.<br />
197 INVOLVEMENT OF THE ATRIAL NATRIURETIC<br />
PEPTIDE TRANSCRIPTION FACTOR GATA4 IN<br />
ALCOHOL DEPENDENCE, RELAPSE RISK, AND<br />
TREATMENT RESPONSE TO ACAMPROSATE<br />
S. Witt (1), F. Kiefer (2), J. Frank (1), A. Richter (2), J.<br />
Treutlein (1), T. Lemenager (2), M. Nöthen (3), S. Cichon (3),<br />
A. Batra (4), M. Berner (5), N. Wodarz (6), U. Zimmermann<br />
(7), R. Spanagel (8), K. Wiedemann (9), M. Smolka (10), A.<br />
Heinz (10), K. Mann (2), M. Rietschel* (1)<br />
1. Dept. <strong>of</strong> Genetic Epidemiology in Psychiatry, Central<br />
Institute <strong>of</strong> Mental Health, Mannheim 2. Dept. <strong>of</strong> Addictive<br />
Behavior and Addiction Medicine, Central Institute <strong>of</strong> Mental<br />
Health, Mannheim 3. Department <strong>of</strong> Genomics, Life & Brain<br />
Center, University <strong>of</strong> Bonn 4. Dept. <strong>of</strong> Psychiatry and<br />
Psychotherapy, University Göttingen 5. Dept. <strong>of</strong> Psychiatry<br />
and Psychotherapy, University Freiburg 6. Dept. <strong>of</strong> Stem Cell<br />
Biology, University Göttingen 7. Dept. <strong>of</strong> Psychiatry and<br />
Psychotherapy, Technical University Dresden 8. Dept. <strong>of</strong><br />
Psychopharmacology, Central Institute <strong>of</strong> Mental Health,<br />
Mannheim 9. Dept. <strong>of</strong> Psychiatry and Psychotherapy,<br />
University <strong>Medical</strong> Center Hamburg-Eppendorf 10. Dept. <strong>of</strong><br />
Psychiatry and Psychotherapy, Charite Berlin<br />
* marcella.rietschel@zi-mannheim.de<br />
Context: Identifying genes contributing to relapse and<br />
treatment response will improve our understanding <strong>of</strong> the<br />
mechanisms underlying alcohol dependence and will yield<br />
treatment targets for personalized medicine. Objective: To<br />
determine whether 15 single nucleotide polymorphisms<br />
(SNPs), linked to alcohol dependence by a recent<br />
genome-wide association (GWA) and replication study, are<br />
associated with relapse behavior. Secondary objective: To<br />
examine whether those associations can be linked to<br />
pharmacological treatment response. Design:<br />
Genotype-phenotype association study and pharmacogenetics<br />
in alcohol dependent patients: Fifteen SNPs were genotyped<br />
and tested for an association with relapse during twelve weeks<br />
<strong>of</strong> treatment. Setting: Five academic medical centers in<br />
Germany Patients: 374 participants with a DSM-IV diagnosis<br />
<strong>of</strong> alcohol dependence that underwent a randomized,<br />
double-blind, placebo-controlled trial with acamprosate,<br />
naltrexone or placebo. Main Outcome Measures: Primary:<br />
Association between 15 SNPs identified by a recent GWA<br />
study on alcohol dependence and relapse. Secondary:<br />
Treatment response with naltrexone and acamprosate in<br />
association with these genetic variations. Post-hoc:<br />
Measurement <strong>of</strong> a trial natruiuretic peptide (ANP) in plasma.<br />
Results: SNP rs13273672, an intronic SNP in GATA4, was<br />
significantly associated with relapse within a 90-days medical<br />
treatment period (P < .01). Subsequent pharmacogenetic<br />
analysis showed that this association was mainly based on<br />
patients treated with acamprosate (P
198 CYP2D6 AND CYP2C19 IN A BRAZILIAN<br />
POPULATION: POTENTIAL ROLE IN IMPROVING<br />
TREATMENT OUTCOMES IN MAJOR DEPRESSION.<br />
C. Prado (1), R. Moreno (2), W. Gattaz (1), E. Ojopi* (1)<br />
1. Laboratório de Neurociências (LIM 27), Institute <strong>of</strong><br />
Psychiatry, University <strong>of</strong> São Paulo (USP), São Paulo, Brazil.<br />
2. Grupo de Estudos de Doenças Afetivas (GRUDA), Institute<br />
<strong>of</strong> Psychiatry, University <strong>of</strong> São Paulo (USP), São Paulo,<br />
Brazil.<br />
* elida@usp.br<br />
The enzymes <strong>of</strong> cytochrome P450 (CYP), mainly CYP2D6<br />
and CYP2C19 are known for metabolizing approximately half<br />
<strong>of</strong> the 200 more <strong>of</strong>ten prescript medications. The CYP2D6<br />
enzyme by itself is responsible for the metabolism <strong>of</strong><br />
approximately 25% <strong>of</strong> these medications, especially<br />
antidepressants (SSRIs e TCAs). At present, more than 90<br />
different allelic variants and sub variants in the CYP2D6 gene<br />
are known and there are only four major phenotypes: poor,<br />
intermediate, extensive, and ultrarapid metabolizers, while for<br />
the CYP2C19 gene, the possible phenotypes are: PMs, EMs<br />
and UMs. The enzymes <strong>of</strong> cytochrome P450 (CYP), mainly<br />
CYP2D6 and CYP2C19 are known for metabolizing<br />
approximately half <strong>of</strong> the 200 more <strong>of</strong>ten prescript<br />
medications. The CYP2D6 enzyme by itself is responsible for<br />
the metabolism <strong>of</strong> approximately 25% <strong>of</strong> these medications,<br />
especially antidepressants (SSRIs e TCAs). This study aimed<br />
to explore the influence <strong>of</strong> variation in CYP2D6 and<br />
CYP2C19 genes on treatment response to antidepressants in a<br />
Brazilian sample <strong>of</strong> patients with Major Depression. Up to<br />
now 73 samples <strong>of</strong> patients with Major Depression and 90<br />
control samples were genotyped for the following alleles:<br />
CYP2D6*1, *2, *3, *4, *6, *9, *10, *15, *17, *29, *34, *35,<br />
*40, *41, and CYP2C19*1, *2, *3, and *17. Genotyping was<br />
performed by real-time PCR allelic discrimination. The<br />
CYP2D6*5 allele and the number <strong>of</strong> copies <strong>of</strong> the gene<br />
CYP2D6 were identified by Real-Time PCR. The Hamilton<br />
scale <strong>of</strong> evaluation for depression (HAM-D) was used to<br />
determine the clinic course <strong>of</strong> response to the treatment and<br />
the adverse affects were also registered. As described in other<br />
studies in different populations alleles CYP2D6*1 and<br />
CYP2D6*2 were the most frequent in our sample (42,8 e<br />
24.31%, respectively), followed by the alleles CYP2D6*4<br />
(11,64%) and CYP2D6*41 (5,82%). For the CYP2C19 gene,<br />
our the allele CYP2C19*1 is the most frequent (60%),<br />
followed by the allele CYP2C19*17 (24%) and the<br />
CYP2C19*2 (16%). To our knowledge the CYP2C19*17<br />
allele was evaluated in a Brazilian population for the first<br />
time. We have found positive correlations genotype-phenotype<br />
although possible jeopardized because there was heterogeneity<br />
among medications. The future <strong>of</strong> ‘personalized prescription’<br />
in psychiatry requires consideration <strong>of</strong> pharmacogenomic<br />
testing and environmental and personal variables that<br />
influence pharmacokinetic and pharmacodynamic drug<br />
response for each individual drug used by each patient.<br />
Financial support: CNPq and ABADHS.<br />
199 GENETIC VARIATION IN ERBB4 GENE<br />
ASSOCIATED WITH RESPONSE TO PALIPERIDONE<br />
TREATMENT IN PATIENTS WITH SCHIZOPHRENIA<br />
D. Fu* (1), D. Wang (1), Q. Li (1), J. Berwaerts (1), X. Wu<br />
(1), R. Favis (1), M. Haas (1), N. Turner (2), H. Chung (2), L.<br />
Alphs (2), H. Manji (1), R. Twyman (1), N. Cohen (1)<br />
1. J&J PRD 2. Ortho-McNeil Janssen Scientific Affairs<br />
* DFu@its.jnj.com<br />
Background: Schizophrenia is a heterogeneous disorder with<br />
inter-individual differences in its onset, symptoms, and<br />
treatment responses. For these reasons, response to the novel<br />
antipsychotic compound, paliperidone, is likely to be<br />
influenced by individual genetic variation. We therefore<br />
conducted a study to identify genes that may contribute to the<br />
variation in the treatment response to paliperidone. Method: A<br />
CNS chip containing over 25,000 single nucleotide<br />
polymorphisms in 1,204 candidate genes related to<br />
pathophysiology and treatment response <strong>of</strong> a wide range <strong>of</strong><br />
psychiatric disorders was developed. 684 patients<br />
experiencing an acute exacerbation <strong>of</strong> schizophrenia from the<br />
paliperidone treatment arms <strong>of</strong> 3 paliperidone-ER pivotal trials<br />
and 1 paliperidone palmitate phase 2 trial were genotyped<br />
using the CNS chip. Genetic associations were tested with a<br />
general linear model using the absolute changes from baseline<br />
to end point in their PANSS total score, and in PANSS factor<br />
scores, as outcome variables. Results: SNP rs6435681 in the<br />
ErbB4 gene was associated with PANSS total score<br />
improvement from baseline to end point (Bonferroni adjusted<br />
p-value: 0.02). Patients carrying the GG or GA genotypes<br />
(N=659) had a significantly greater average reduction in<br />
PANSS total score than AA carriers (N=25). Significant<br />
association <strong>of</strong> the ErbB4 SNP in the same direction was not<br />
observed in the placebo arms (N=258) or the olanzapine active<br />
control arms (N=235) across trials. Conclusion: These<br />
findings provide the first evidence that genetic variation in the<br />
ErbB4 gene (associated with neuregulin regulation) may<br />
differentially affect treatment response to paliperidone in<br />
acutely exacerbated schizophrenic patients.
200 GAMMA-AMINOBUTYRIC ACID RECEPTOR<br />
GENE POLYMORPHISMS AND<br />
ANTIPSYCHOTICS-INDUCED TARDIVE<br />
DYSKINESIA<br />
J. Choi (1), S. Kang (1), H. Lee* (1)<br />
1. Korea University<br />
* leehjeong@korea.ac.kr<br />
Background: Gamma-aminobutyric acid (GABA)<br />
insufficiency has been reported to be related with the TD<br />
susceptibility. Arinami et al. reported that the GABA receptor<br />
signaling pathway may be involved in the pathophysiology <strong>of</strong><br />
TD by genome wide association study. We conducted a<br />
genetic association analysis between GABA related genes and<br />
TD in Korean schizophrenic patients. Methods: Applying<br />
gene-based association analysis, we selected two<br />
polymorphisms in GABRG3 (c-3 subunit <strong>of</strong> GABA-A<br />
receptor) and SLC6A11 (GABA transporter 3). Two SNP<br />
were analyzed by PCR-based methods in 99 schizophrenic<br />
patients with TD and 164 schizophrenic without TD who were<br />
matched for antipsychotic drug exposure and other relevant<br />
variables. Results: Among the two variants, SCL6A11<br />
genotypes distribution showed a significant difference<br />
between TD and non-TD (X2=12.59, p=0.002), however,<br />
GABRG3 genotype distribution was not associated with TD<br />
(X2=2.65, p=0.27). Conclusions: These results suggest that<br />
SLC6A11 gene polymorphism was associated with the<br />
increased susceptibility to TD in patients with schizophrenia<br />
in the Korean populations.<br />
201 THE CIRCADIAN CLOCK INFLUENCES<br />
LITHIUM TREATMENT RESPONSE IN BIPOLAR<br />
DISORDER<br />
M. McCarthy* (1), T. Shekhtman (2), R. McKinney (1), D.<br />
Kripke (3), J. Kelsoe (1)<br />
1. Department <strong>of</strong> Psychiatry, University <strong>of</strong> California San<br />
Diego, La Jolla, CA 2. VA San Diego Healthcare System, San<br />
Diego, CA 3. Scripps Clinic Sleep Center, La Jolla, CA<br />
* mmccarthy@ucsd.edu<br />
Several circadian clock genes are lithium responsive, and<br />
lithium treatment for bipolar disorder is effective in part<br />
because <strong>of</strong> its ability to correct disturbances in circadian<br />
rhythms. However, treatment response to lithium varies. We<br />
hypothesized that variants in circadian clock genes may<br />
contribute to lithium treatment outcomes in bipolar disorder.<br />
Similarly, we hypothesized that differences in daily<br />
sleep/activity cycles may predict lithium response. We<br />
identified 164 bipolar disorder patients who responded well to<br />
lithium, and 154 who responded poorly based on retrospective<br />
assessment. These subjects were genotyped for 29 SNPs<br />
across 13 core clock genes. In a subset <strong>of</strong> these patients, we<br />
administered the basic language morningness questionnaire<br />
(BALM) to 50 lithium responders and 46 lithium<br />
non-responders. Subjects who scored in the phase delayed<br />
range on the BALM had a better response to lithium than<br />
subjects in the normal or phase advanced ranges. Genetic<br />
analysis revealed the rare variant <strong>of</strong> the intronic SNP<br />
rs2071427 in the Rev-Erbα gene was associated with a<br />
favorable lithium response. The SNPs rs1801260 (3111 T/C)<br />
and rs34897046 in the gene Clock were also significantly<br />
associated with response to lithium. Allele-specific gene<br />
expression at the Clock locus in heterozygotes for rs1801260<br />
was measured in lymphoblastoid cells. This SNP did not<br />
confer an allelic expression imbalance either under baseline or<br />
lithium treated conditions. From these data a link between<br />
lithium response and genetic variation within the circadian<br />
clock is supported but the precise biological mechanism<br />
remains unknown.
202 OXYTOCIN AND PROLACTIN SYSTEM<br />
POLYMORPHISMS IN CHILDHOOD-ONSET MOOD<br />
DISORDERS<br />
J. Strauss* (1), N. Freeman (1), S. Shaikh (1), A. Vetro (2),<br />
E. Kiss (2), K. Kapornai (2), C. George (3), E. Dempster (4),<br />
C. Barr (5), M. Kovacs (3), J. Kennedy (1)<br />
1. Centre for Addiction and Mental Health 2. Szeged<br />
University <strong>Medical</strong> Faculty 3. Western Psychiatric Institute<br />
and Clinic 4. Institute <strong>of</strong> Psychiatry 5. Toronto Western<br />
Research Institute<br />
* john_strauss@camh.net<br />
Background: Oxytocin (OXT) and prolactin (PRL) are<br />
neuropeptide hormones that are involved in the stress response<br />
and social affiliation. They interact with the serotonin system.<br />
Reports in the literature indicate that human serum OXT and<br />
PRL levels are associated with depressive symptoms and<br />
related phenotypes. In a genetic association study with a<br />
family-based design, we examined single nucleotide<br />
polymorphisms (SNPs) at the loci for OXT, PRL and their<br />
receptors (OXTR and PRLR) for association with<br />
childhood-onset mood disorders (COMD). Methods: Using<br />
lymphocyte DNA from 678 families recruited from Hungary,<br />
we genotyped sixteen SNPs at OXT, PRL and their receptors<br />
to test for association with COMD. Results: We observed no<br />
statistically significant associations for OXTR, PRL, and<br />
PRLR SNPs. Two <strong>of</strong> three SNPs 3' <strong>of</strong> the OXT gene were<br />
associated with COMD (p < 0.02), were significant after<br />
spectral decomposition, but were not significant after<br />
additionally adjusting for the number <strong>of</strong> genes tested.<br />
Supplementary analyses demonstrated significant transmission<br />
bias to daughters, but not sons, for two OXT SNPs -<br />
rs2740210 (p = 0.04); rs2770378 (p = 0.02). Conclusions: We<br />
have examined OXT and PRL system gene variants, with no<br />
evidence <strong>of</strong> statistically significant association after multiple<br />
testing corrections. We found a nonsignificant trend between<br />
OXT SNPs and COMD. Additional analyses suggest two<br />
OXT SNPs have transmission bias to daughters, consistent<br />
with evidence in the literature that OXT is regulated by<br />
estrogen.<br />
SCHIZOPHRENIA<br />
203 NO ASSOCIATION BETWEEN THE PPARG GENE<br />
AND SCHIZOPHRENIA IN A BRITISH POPULATION<br />
A. Mathur*, M. Law, I. Megson, D. Shaw, J. Wei<br />
* aditi.mathur@uhi.ac.uk<br />
It has consistently been reported that patients with<br />
schizophrenia have an increased risk <strong>of</strong> type-2 diabetes. To<br />
investigate a genetic link between these 2 diseases, the<br />
combined effects <strong>of</strong> the PLA2G4A, PTGS2 and PPARG genes<br />
were tested among 221 British nuclear families consisting <strong>of</strong><br />
fathers, mothers and affected <strong>of</strong>fspring with schizophrenia. A<br />
total <strong>of</strong> 10 single nucleotide polymorphisms (SNPs) were<br />
tested and the likelihood-based association analysis for nuclear<br />
families was used to analyse genotyping data. Eight SNPs<br />
detected across the PPARG gene did not show allelic<br />
association with schizophrenia; a weak association was<br />
detected at rs2745557 in the PTGS2 locus (c2=4.19, p=0.041)<br />
and rs10798059 in the PLA2G4A locus (c2=4.28, p=0.039)<br />
but these associations did not survive after 10000<br />
permutations to correct the p-value (global p=0.246). The<br />
gene-gene interaction test did not show any evidence <strong>of</strong> either<br />
cis-phase interactions for the PLA2G4A and PTGS2<br />
combinations or a trans-phase interaction for the PLA2G4A<br />
and PPARG combinations. The PPARG gene has been<br />
reported to be strongly associated with type-2 diabetes, but the<br />
present study did not support the hypothesis that the PPARG<br />
gene may also play an important role in the development <strong>of</strong><br />
schizophrenia.
204 ASSOCIATION STUDY OF EFNB2 GENE AND<br />
SCHIZOPHRENIA IN THE CHINESE POPULATION<br />
R. Zhang (1), N. Zhong (1), X. Liu (2), H. Yan (2), C. Qiu (2),<br />
Y. Han (1), W. Wang (1), W. Hou (1), Y. Liu (1), C. Gao (3),<br />
T. Guo (4), S. Lu (1), H. Deng (2), J. Ma* (1)<br />
1. Department <strong>of</strong> Genetics and Molecular Biology, Xi’an<br />
Jiaotong University School <strong>of</strong> Medicine 2. School <strong>of</strong> Life<br />
Science & Technology, Xi’an Jiaotong University 3. First<br />
Affiliated Hospital, Xi’an Jiaotong University School <strong>of</strong><br />
Medicine 4. National Institutes <strong>of</strong> Diabetes and Digestive and<br />
Kidney Diseases, National Institutes <strong>of</strong> Health<br />
* tigermajie@yahoo.com.cn<br />
Recently, evidence <strong>of</strong> linkage <strong>of</strong> schizophrenia to<br />
chromosome 13q22-q34 has been demonstrated in multiple<br />
studies. Based on structure and function, EFNB2 may be<br />
considered as a compelling candidate gene for schizophrenia<br />
on chromosome13q33. We genotyped three single-nucleotide<br />
polymorphisms (SNPs: rs9520087, rs11069646, and<br />
rs8000078) in this region in 846 Han Chinese subjects (477<br />
cases and 369 controls). Significant association between an<br />
allele <strong>of</strong> marker rs9520087 and schizophrenia was found<br />
(P=0.0044). Furthermore, since no LD was observed in the<br />
three SNPs linkage disequilibrium estimation, all three SNPs<br />
were used in multiple haplotype analysis, and a strongly<br />
significant difference was found for the common haplotype<br />
TTC (P=0.004). Overall our findings indicate that EFNB2<br />
gene may be a candidate susceptibility gene for schizophrenia<br />
in the Han Chinese population, and also provide further<br />
support for the potential importance <strong>of</strong> the NMDA receptor<br />
pathway in the etiology <strong>of</strong> schizophrenia.<br />
205 THE SIGNIFICANT GENETIC REGIONS OF<br />
SCHIZOPHRENIA SUSCEPTIBILITY GENE,<br />
CALCIUM CHANNEL, VOLTAGE-DEPENDENT,<br />
GAMMA SUBUNIT (CACNG2)<br />
Y. Liu* (1), C. Liu (2), C. Fann (3), T. Liu (4), S. Tsai (5), U.<br />
Yang (6), P. Hsu (6), W. Yang (3), C. Wen (2), H. Hwu (2)<br />
1. Division <strong>of</strong> Mental Health and Addiction Medicine,<br />
Institute <strong>of</strong> Population Health Sciences, National Health<br />
Research Institutes, Taiwan 2. Department <strong>of</strong> Psychiatry,<br />
National Taiwan University Hospital and National Taiwan<br />
University College <strong>of</strong> Medicine, Taiwan 3. Institute <strong>of</strong><br />
Biomedical Sciences, Academia Sinica, Taiwan 4. Genome<br />
Research Center, National Yang-Ming University, Taiwan 5.<br />
Division <strong>of</strong> Molecular and Genomic Medicine, National<br />
Health Research Institutes, Taiwan 6. Institute <strong>of</strong><br />
Bioinformatics, National Yang-Ming University, Taiwan<br />
* ylliou@nhri.org.tw<br />
Calcium Channel, Voltage-Dependent, Gamma Subunit<br />
(CACNG2) is a schizophrenia susceptibility gene. In our<br />
previous study, the single nucleotide polymorphism (SNP)<br />
fine mapping in the region <strong>of</strong> chromosome 22 showed a<br />
statistically significant association at the intron 1 region <strong>of</strong><br />
CACNG2. In a later direct sequencing study for risk SNP <strong>of</strong><br />
CACNG2 in schizophrenia, a total <strong>of</strong> 4 SNPs were found<br />
fitting the criteria <strong>of</strong> the least minor allele frequency<br />
differences above 2% between normal controls and<br />
schizophrenia. These four SNPs (rsCACNG2-3,<br />
rsCACNG2-16, rsCACNG2-18, and rsCACNG2-20) were<br />
further genotyped on 600 normal controls and 912<br />
schizophrenic patients. A risk SNP <strong>of</strong> rsCACNG2-3 located at<br />
intron 2 showed statistically significant association with<br />
schizophrenia (odds ratio = 1.2476, p=0.008). The normal<br />
controls and the schizophrenic patients had the same<br />
haplotypes structure. Furthermore, the risk SNP demonstrated<br />
a statistically significant association with the subgroups <strong>of</strong><br />
deficit endophenotypes <strong>of</strong> sustained attention, assessed by<br />
continuous performance test (CPT; p=0.0015 for degraded and<br />
p=0.003 for undegraded CPT), and executive function,<br />
assessed by the Wisconsin Card Sorting Test (WCST;<br />
p=0.0143 for categorical achievement and p=0.0133 for<br />
perseverative error). We conclude that the intron 2 genetic<br />
region at CACNG2 may be a true susceptibility region risk for<br />
schizophrenia.
206 THE OXYTOCIN AND VASOPRESSIN GENES AS<br />
CANDIDATES FOR SCHIZOPHRENIA IN A LARGE<br />
INBRED ISRAELI ARAB PEDIGREE<br />
T. Omri* (1), K. Kyra (1), K. Osnat (1), K. Mira (2), L.<br />
Bernard (1), A. Hamdan (3), K. Yoav (1)<br />
1. Biological Psychiatry Laboratory, Department <strong>of</strong><br />
Psychiatry, Hadassah-Hebrew University <strong>Medical</strong> Center,<br />
Jerusalem, Israel 2. The Center for Genomic Technologies,<br />
Institute <strong>of</strong> Life Sciences, Hebrew University, Jerusalem,<br />
Israel 3. Regional Mental Health Center, Taibe, Israel<br />
* omri.teltsh@mail.huji.ac.il<br />
We study the genetics <strong>of</strong> schizophrenia in a large, multiplex<br />
Israeli Arab pedigree. The use <strong>of</strong> rare pedigrees, in which risk<br />
genetic variants have a major effect on the disorder<br />
occurrence, has been proven as a beneficial strategy in studies<br />
<strong>of</strong> other complex disorders. By performing a genome wide<br />
linkage analysis for schizophrenia in this pedigree, we have<br />
previously demonstrated evidence for linkage on chromosome<br />
20p13. A haplotype <strong>of</strong> 3 markers in this region, 1.8Mb in<br />
length and containing strong candidate genes for<br />
schizophrenia, was found to be shared by most affected<br />
pedigree members. More recently, we have sequenced the<br />
coding domain and flanking regions <strong>of</strong> four <strong>of</strong> these genes,<br />
among both affected and healthy individuals from the<br />
pedigree. Our sequencing results led us to concentrate on the<br />
genes OXT and AVP. The hormones encoded by these genes,<br />
Vasopressin and Oxytocin, are known to be involved in social<br />
behavior. Evidences exist for their association with OCD and<br />
autism. In the current study we completed sequencing <strong>of</strong> the<br />
intronic regions <strong>of</strong> OXT and AVP, as well as four additional<br />
regulatory sites <strong>of</strong> these genes. 7 rare SNPs were identified<br />
and studied in the whole pedigree. Four SNPs were<br />
significantly associated with schizophrenia. A 7-SNP<br />
haplotype was also significantly associated with disease<br />
status. We also study these genes contribution to<br />
schizophrenia, by genotyping the same SNPs in other samples,<br />
in order to replicate our findings. In addition, the possible<br />
effect <strong>of</strong> these SNPs on expression <strong>of</strong> the genes will also be<br />
studied.<br />
207 PRIORITIZING CANDIDATE GENES FOR<br />
SCHIZOPHRENIA: CONVERGENCE OF<br />
ASSOCIATION AND GENE EXPRESSION ANALYSES<br />
P. D. Shilling* (1), T. A. Greenwood (1), D. L. Braff (1), G.<br />
L. Light (1), K. S. Cadenhead (1), M. A. Geyer (1), J. Sprock<br />
(1), N. R. Swerdlow (1)<br />
1. University <strong>of</strong> California, San Diego<br />
* pshilling@ucsd.edu<br />
We had previously developed a database (Shilling, et al., Biol<br />
Psych 2008) composed <strong>of</strong> gene expression values in the<br />
nucleus accumbens (NAC) for two rat strains that exhibit<br />
differential prepulse inhibition (PPI) responsiveness to the<br />
dopamine agonist, apomorphine (APO). We used this database<br />
to prioritize 22 candidate genes, identified using a custom<br />
COGS/<strong>UCSD</strong> SNP chip, that are significantly associated with<br />
schizophrenia and/or at least one <strong>of</strong> the PPI-related<br />
endophenotypes examined: % PPI, startle magnitude, and<br />
habituation (Greenwood et al. 2008), for further analysis.<br />
Gene expression was measured with Affymetrix 230 2.0 chips.<br />
Twenty <strong>of</strong> the 22 genes identified by association analysis were<br />
represented on this gene chip. Gene expression <strong>of</strong> these 20<br />
genes in the NAC was analyzed in an animal model <strong>of</strong><br />
differential PPI sensitivity to APO in Long Evans vs. Sprague<br />
Dawley rats. Statistical analysis <strong>of</strong> microarrays (SAM) was<br />
employed to identify significant between strain differences in<br />
expression using a false discovery rate < 5 %. SAM analysis<br />
revealed that 10 (50%) <strong>of</strong> the significantly associated genes<br />
also exhibited significant gene expression differences. These<br />
genes include COMT, NRG1, DAT and GRIN2B. In addition,<br />
Ingenuity Pathway Analysis indicated that glutamate and<br />
dopamine receptor signaling pathways were significantly<br />
overrepresented. Many <strong>of</strong> the genes that were associated with<br />
schizophrenia and/or PPI-related endophenotypes were also<br />
differentially expressed across rat strains exhibiting<br />
differences in PPI sensitivity to a dopamine agonist. This<br />
convergent translational approach could facilitate the<br />
identification <strong>of</strong> genes that contribute to the development <strong>of</strong><br />
schizophrenia.Supported by MH42228 and MH68366
208 NEXT GENERATION SEQUENCING OF THE<br />
DISC1 LOCUS<br />
P. Thomson* (1, 2), M. De La Bastide (3), A. McRae (4), D.<br />
Soares (1, 2), J. Parla (3), K. Ramakrishnan (1, 2), W. Hennah<br />
(1, 5), K. Evans (1, 2), K. Millar (1, 2), S. Harris (1, 2, 6), S.<br />
Macgregor (4), S. Brown (1, 2), D. Rebolini (3), L. Cardone<br />
(3), M. Bell (3), J. Watson (3), J. Starr (7), I. Deary (6), D.<br />
Blackwood (1, 2, 8), W. Muir (1, 2, 8), P. Visscher (4), W.<br />
McCombie (3), D. Porteous (1, 2, 6)<br />
1. <strong>Medical</strong> Genetics Section, University <strong>of</strong> Edinburgh,<br />
Edinburgh, EH4 2XU, UK 2. Molecular Medicine Centre,<br />
Western General Hospital, Crewe Road, Edinburgh, EH4<br />
2XU, UK 3. Cold Spring Harbor Laboratory, Cold Spring<br />
Harbor, New York 11724, USA 4. Queensland Statistical<br />
Genetics, Queensland Institute <strong>of</strong> <strong>Medical</strong> Research, 300<br />
Herston Road, Brisbane, QLD, 4029, Australia 5. Institute for<br />
Molecular Medicine Finland FIMM, Nordic EMBL<br />
Partnership 6. Centre for Cognitive Ageing and Cognitive<br />
Epidemiology, Department <strong>of</strong> Psychology, University <strong>of</strong><br />
Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK 7.<br />
Centre for Cognitive Ageing and Cognitive Epidemiology,<br />
Geriatric Medicine Unit, University <strong>of</strong> Edinburgh, Royal<br />
Victoria, Craigleith Road, Edinburgh, EH4 2DN, UK 8.<br />
Department <strong>of</strong> Psychiatry, Royal Edinburgh Hospital,<br />
Morningside Park, Edinburgh, EH10 5HF, UK<br />
* pippa.thomson@ed.ac.uk<br />
DISC1 was first identified as a candidate for psychiatric<br />
illness through segregation <strong>of</strong> a t(1:11) translocation in a large<br />
Scottish family. This was confirmed by linkage <strong>of</strong> variants in<br />
DISC1 to psychiatric illness in further families from Scotland<br />
and Finland. In addition, many, although not all, association<br />
studies <strong>of</strong> DISC1 and the upstream gene, TSNAX, have<br />
detected association to a range <strong>of</strong> mental illnesses and<br />
cognitive phenotypes in multiple populations worldwide.<br />
Results from genome-wide association studies performed to<br />
date have been more equivocal. Only weakly significant<br />
p-values have been detected in these large scale studies for<br />
DISC1 and other strong candidate genes for schizophrenia,<br />
most likely due to genetic heterogeneity. In line with this a<br />
recent publication by Song et al. suggested that DISC1 exons<br />
may harbour multiple rare structural variants conferring<br />
susceptibility to schizophrenia.In order to examine the full<br />
range <strong>of</strong> variants in the 550 kb TSNAX/DISC1 region, we<br />
have sequenced up to 300 subjects for each <strong>of</strong> schizophrenia,<br />
bipolar disorder, depression, and healthy controls by high<br />
throughput sequencing on the Illumina Genome Analyzer<br />
platform. In contrast to previous studies, we have sequenced<br />
the entire genomic locus including exons, introns, promoters<br />
and intergenic regions.The results identify multiple new<br />
variants and confirm some <strong>of</strong> those identified in patient<br />
samples by Song et al. Bioinformatic analysis allows us to<br />
make structure-function predictions that support a causal role<br />
for these rare variants in major mental illness.<br />
209 ANALYSES OF GENE EXPRESSION PROFILE<br />
AND ABERRANT SPLICING IN SCHIZOPHRENIA<br />
USING EXON ARRAY<br />
Y. Ito* (1), S. Yamada (2), B. Aleksic (1), I. Kushima (1), Y.<br />
Nakamura (1), A. Yoshimi (3), T. Nagai (3), Y. Noda (2), K.<br />
Ohno (5), N. Ozaki (1)<br />
1. Department <strong>of</strong> Psychiatry, Nagoya University Graduate<br />
School <strong>of</strong> Medicine 2. Division <strong>of</strong> Clinical Sciences and<br />
Neuropsychopharmacology, Graduate School <strong>of</strong><br />
Pharmaceutical Sciences, Meijo University 3. Department <strong>of</strong><br />
Neuropsychopharmacology and Hospital Pharmacy, Nagoya<br />
University Graduate School <strong>of</strong> Medicine 4. Department <strong>of</strong><br />
Neurogenetics, Nagoya University Graduate School <strong>of</strong><br />
Medicine<br />
* y-ito@med.nagoya-u.ac.jp<br />
The contribution <strong>of</strong> genetic factors to schizophrenia is well<br />
established because recent studies have identified a number <strong>of</strong><br />
strong candidate genes. However, the pathophysiology <strong>of</strong><br />
schizophrenia has not been totally elucidated yet. Alternative<br />
pre-mRNA splicing increases proteomic diversity and<br />
provides a potential mechanism underlying both phenotypic<br />
diversity and susceptibility to genetic disorders in human<br />
populations. To identify gene/pathway dysregulation<br />
underpinning the neurobiological defects associated with<br />
schizophrenia, we compared the transcriptomes <strong>of</strong> the<br />
lymphoblastoid cell lines (LCLs) derived from 30<br />
schizophrenic patients and 30 healthy controls. LCLs were<br />
adopted to avoid the confounding factors related to the<br />
postmortem brain such as agonal-pH factors, long-term<br />
medication, and cause <strong>of</strong> death. We used the Affymetrix<br />
GeneChip Human Exon 1.0 ST Array, which has 1.4 million<br />
probe sets covering over one million known and predicted<br />
human exons. In the gene level analysis with relaxed<br />
parameters (p≤0.05, without multiple testing correction), 11<br />
genes <strong>of</strong> schizophrenia group significantly changed ≥1.5-fold<br />
or ≤0.67-fold compared to control group. In order to validate<br />
the aforementioned finding, we conducted quantitative<br />
real-time PCR using TaqMan Gene Expression Assays.<br />
Moreover, we are going to combine the genotype data <strong>of</strong> the<br />
same samples using the Genome-Wide Human SNP Array 5.0<br />
to investigate whether single nucleotide polymorphisms<br />
(SNPs) or copy number variations (CNVs) influence both<br />
gene expression and alternative splicing (AS). The exon level<br />
analysis and correlation analysis between SNPs/CNVs and<br />
expression/AS is now on going.
210 LARGE SCALE RE-SEQUENCING OF THE<br />
PSYCHOSIS SUSCEPTIBILITY GENE ZNF804A IN<br />
SCHIZOPHRENIA<br />
S. Dwyer* (1), M. Owen (1), N. Craddock (1), H. Williams<br />
(1), M. O'Donovan (1)<br />
1. Cardiff University<br />
* dwyersl@cf.ac.uk<br />
Recently, we undertook a GWAS <strong>of</strong> 479 UK schizophrenia<br />
cases and 3000 controls (O'Donovan et al. 2008), with the<br />
strongest 12 GWAS findings (P
212 MCHR1 SHOWS ASSOCIATION WITH<br />
SCHIZOPHRENIA, AND POSSIBLY TREATMENT<br />
RESPONSE AMONG DANISH CHRONIC<br />
SCHIZOPHRENIA PATIENTS<br />
A. Hedemand* (1), D. Demontis (1), M. Nyegaard (1), J.<br />
Christensen (1), J. Severinsen (1), T. Hansen (2), T. Werge<br />
(2), O. Mors (3), A. Børglum (1)<br />
1. Institute <strong>of</strong> Human Genetics, Aarhus University, DK-8000<br />
Århus C, Denmark 2. Research Institute <strong>of</strong> Biological<br />
Psychiatry, Mental Health Centre Sct. Hans, Copenhagen<br />
University Hospital, Roskilde, Denmark 3. Centre for<br />
Psychiatric Research, Aarhus University Hospital, DK-8240<br />
Risskov, Denmark<br />
* anneh@humgen.au.dk<br />
The gene MCHR1 is located on chromosome 22q13.2 and has<br />
previously been associated with schizophrenia (SZ) in a study<br />
<strong>of</strong> cases and controls from the Faeroe Islands and Scotland.<br />
Here we report support <strong>of</strong> association between MCHR1 and<br />
SZ based on analyses <strong>of</strong> a larger sample and increased number<br />
<strong>of</strong> SNPs than used in the previous study. We analyzed a<br />
case-control sample from Denmark consisting <strong>of</strong> 390 patients<br />
with SZ and 814 control individuals, genotyped with 16<br />
tag-SNPs. We performed gender-specific analysis as well as<br />
analysis <strong>of</strong> association with antipsychotic treatment. We found<br />
significant associations <strong>of</strong> independent SNPs in the proximal<br />
region <strong>of</strong> GPR24 with SZ. The associations seemed to be<br />
gender specific, coming from the males, and could be related<br />
to medical treatment response. After correction for multiple<br />
testing a single SNP remained significant (P=0.003), in the<br />
association analysis <strong>of</strong> the males. A gene-wide p-value <strong>of</strong><br />
0.006 was obtained after correction for multiple testing. The<br />
results suggest that MCHR1 may influence SZ susceptibility<br />
in the Danish population and may possibly be involved in<br />
treatment response among SZ patients.<br />
213 UBIQUITIN PROTEASOME SYSTEM GENE<br />
EXPRESSION CORRELATES FOR POSITIVE AND<br />
NEGATIVE SYMPTOMS IN PSYCHOSIS<br />
C. Bousman* (1), E. Tatro (1), G. Chana (1), S. Glatt (2), S.<br />
Chandler (1), T. May (1), J. Lohr (1), W. Kremen (1), M.<br />
Tsuang (1), I. Everall (1)<br />
1. <strong>UCSD</strong> 2. SUNY Upstate <strong>Medical</strong> University<br />
* cbousman@ucsd.edu<br />
Several gene expression studies have identified genes in the<br />
ubiquitin proteasome system (UPS) pathway as putative<br />
biomarkers in psychotic disorders (e.g. schizophrenia).<br />
However, to date an in-depth examination <strong>of</strong> the UPS pathway<br />
in the context <strong>of</strong> psychosis has not been conducted. The<br />
purpose <strong>of</strong> this study was to explore blood-based expression<br />
correlates <strong>of</strong> 43 well characterized genes that operate within<br />
the UPS pathway among a sample <strong>of</strong> 19 psychotic patients<br />
diagnosed with schizophrenia (n = 13) or bipolar disorder (n =<br />
6). Specifically, we sought to estimate the association <strong>of</strong> each<br />
gene’s expression with clinical scores on the scales for the<br />
assessment <strong>of</strong> positive and negative symptoms (SAPS-SANS).<br />
Pearson’s partial correlations, adjusting for gender, ethnicity,<br />
age, education, medication, smoking, and past six-month<br />
substance use, were performed between each <strong>of</strong> the selected<br />
UPS genes and both scales. SAPS results revealed significant<br />
positive associations (Bonferroni p < 0.05) for two ubiquitin<br />
conjugation genes (i.e. UBE2K, SIAH2) and a negative<br />
association with one deubiquitination gene (i.e. USP2). No<br />
gene expression levels were significantly associated with<br />
scores on the SANS after multiple testing correction, albeit a<br />
positive trend was observed for UBE2K. Findings suggest<br />
that the UPS pathway, specifically ubiquitin conjugation and<br />
deubiquitination may point to a possible underlying biological<br />
mechanisms by which the severity <strong>of</strong> positive but not negative<br />
symptoms clinically manifest.
214 CHRONIC RESTRAINT STRESS RESULTS IN<br />
DIFFERENTIAL EXPRESSION OF SPLICE VARIANTS<br />
OF THE SCHIZOPHRENIA AND BIPOLAR<br />
DISORDER ASSOCIATED BRD1 GENE IN RAT<br />
HIPPOCAMPUS<br />
J. Christensen* (1), T. Fryland (1), B. Elfving (2), M.<br />
Nyegaard (1), T. Corydon (1), A. Nielsen (1), O. Mors (2), G.<br />
Wegener (2), A. Børglum (1)<br />
1. Department <strong>of</strong> Human Genetics, Aarhus University,<br />
Denmark 2. Centre for Psychiatric Research, Aarhus<br />
University Hospital, Risskov, Denmark<br />
* jhc@humgen.au.dk<br />
Recent evidence has implicated the bromodomain containing 1<br />
gene (BRD1) with brain development and susceptibility to<br />
schizophrenia (SZ) and bipolar affective disorder (BD). The<br />
Brd1 protein has been identified in the MOZ/MORF complex<br />
responsible for H3 histone acetylation. Although indicating a<br />
role <strong>of</strong> Brd1 in transcriptional regulation much remains to be<br />
clarified with regard to its function and regulation. The aim <strong>of</strong><br />
the present study was to investigate the regulation and splicing<br />
<strong>of</strong> the Brd1 gene in rats subjected to chronic restraint stress<br />
(CRS). Male Sprague-Dawley rats (n=36) were subjected to<br />
either half an hour or 6 hours <strong>of</strong> CRS once a day for 21 days,<br />
or no CRS (controls). Relative transcript levels <strong>of</strong> the long<br />
exon 7 splice variant <strong>of</strong> Brd1, total Brd1, and Mchr1 were<br />
determined by quantitative RT-PCR on hippocampus RNA<br />
using two stably expressed genes for normalization. We found<br />
a significant 2-fold upregulation <strong>of</strong> the long splice variant <strong>of</strong><br />
Brd1 in both groups <strong>of</strong> CRS rats compared to controls. The<br />
transcript levels <strong>of</strong> total Brd1 was not changed during CRS<br />
indicating an equivalent downregulation <strong>of</strong> any other splice<br />
variants. The amount <strong>of</strong> the Mchr1 transcript, another gene<br />
associated with SZ, was unchanged. In conclusion, we<br />
demonstrate that CRS in rats results in differential expression<br />
<strong>of</strong> splice variants <strong>of</strong> the Brd1 gene in the hippocampus. As<br />
CRS causes decreased hippocampal neurogenesis and adaptive<br />
structural plasticity, it is tempting to speculate that regulation<br />
and splicing <strong>of</strong> the Brd1 gene plays an important role in these<br />
processes that are well-known to be disturbed in SZ and BD.<br />
215 IDENTIFICATION OF NOVEL CANDIDATE<br />
GENES FOR TREATMENT RESPONSE TO<br />
RISPERIDONE AND SUSCEPTIBILITY FOR<br />
SCHIZOPHRENIA<br />
M. Ikeda* (1, 2), Y. Tomita (3), A. Mouri (4), M. Koga (5, 6),<br />
T. Okochi (2), R. Yoshimura (7), Y. Yamanouchi (2), Y.<br />
Kinoshita (2), R. Hashimoto (6, 8), H. Williams (1), M.<br />
Takeda (8), J. Nakamura (7), T. Nabeshima (4), M. Owen (1),<br />
M. O'Donovan (1), H. Honda (3), T. Arinami (5, 6), N. Ozaki<br />
(3, 6), N. Iwata (2, 6)<br />
1. Cardiff University 2. Fujita Health University 3. Nagoya<br />
University 4. Meijo University 5. University <strong>of</strong> Tsukuba<br />
6. CREST 7. University <strong>of</strong> Occupational and Environmental<br />
Health 8. Osaka University<br />
* ikedam@cardiff.ac.uk<br />
Background: Pharmacogenomic approaches based upon<br />
genome-wide sets <strong>of</strong> single nucleotide polymorphisms (SNPs)<br />
are now feasible, and <strong>of</strong>fer the potential to uncover variants<br />
that influence drug response. Methods: To detect potential<br />
predictor gene variants for risperidone response in<br />
schizophrenic subjects, we performed a convergent analysis<br />
based upon (1) a genome-wide (100K SNP) SNP<br />
pharmacogenetic study <strong>of</strong> risperidone response and (2) a<br />
global transcriptome study <strong>of</strong> genes whose mRNA levels are<br />
influenced by risperidone exposure in mouse prefrontal cortex.<br />
Results: Fourteen genes were highlighted as <strong>of</strong> potential<br />
relevance to risperidone activity in both studies; ATP2B2,<br />
HS3ST2, UNC5C, BAG3,PDE7B, PAICS, PTGFRN, NR3C2,<br />
ZBTB20, ST6GAL2, PIP5K1B, EPHA6, KCNH5 and AJAP1.<br />
The SNPs related to these genes that were associated in the<br />
pharmacogenetic study were further assessed for evidence for<br />
association with schizophrenia in up to 3 case control series<br />
comprising 1564 cases and 3862 controls in total (Japanese<br />
(JPN) 1st and 2nd samples and UK sample). Of 14 SNPs<br />
tested, one (rs9389370) in PDE7B showed significant<br />
evidence for association with schizophrenia in a discovery<br />
sample (Pallele=0.026 in JPN1st, 2-tailed). This finding<br />
replicated in a joint analysis <strong>of</strong> two independent case-control<br />
samples (PJPN2nd+UK=0.008, 1-tailed, uncorrected) and in<br />
all combined datasets (Pall=0.0014, 2-tailed, uncorrected and<br />
Pall=0.018, 2-tailed, Bonferroni correction). Conclusions: We<br />
identify novel candidate genes for treatment response to<br />
risperidone, and provide evidence that one <strong>of</strong> these<br />
additionally may confer susceptibility to schizophrenia.<br />
Specifically, PDE7B is an attractive candidate gene though<br />
evidence from integrated methodology including<br />
pharmacogenomics, pharmacotranscriptomic, and case-control<br />
association approaches.
216 NPAS3 AND SOX FAMILY GENES:<br />
TRANSCRIPTIONAL CONTROL OF NEURONAL<br />
PROLIFERATION AND DIFFERENTIATION AND ITS<br />
RELATION TO PSYCHIATRIC ILLNESS<br />
L. Sha* (1), M. Malloy (2), W. Muir (3), D. Blackwod (3), B.<br />
Pickard (4)<br />
1. University <strong>of</strong> Edinburgh, Western General Hospital,<br />
Einburgh, EH4 2XU, UK 2. University <strong>of</strong> Edinburgh,<br />
Einburgh, EH4 2XU, UK 3. Division <strong>of</strong> Psychiatry, University<br />
<strong>of</strong> Edinburgh, EH10 5HF, UK 4. University <strong>of</strong> Strathclyde,<br />
Glasgow, G4 0NR, UK<br />
* s0676701@sms.ed.ac.uk<br />
Neuronal basic helix-loop-helix PAS domain transcription<br />
factor 3, NPAS3, has been implicated in susceptibility to both<br />
schizophrenia and bipolar disorder by cytogenetics,<br />
genome-wide association and a knockout mouse model.<br />
Studying the established role <strong>of</strong> NPAS3 in adult hippocampal<br />
neurogenesis may provide a biological mechanism for the link<br />
between neurogenesis dysfunction and psychiatric disorders.<br />
SOX family transcription factors are also known to play a role<br />
in neural progenitor proliferation and differentiation. To<br />
explore the transcriptional network controlled by these genes<br />
we used overexpression in HEK293 cells coupled with<br />
microarray analysis to identify target genes and pathways.<br />
Four key observations were made. Firstly, NPAS3 strongly<br />
activates VGF, a gene that links defective neurogenesis with<br />
depression in a mouse model. Secondly, NPAS3 regulates<br />
several SOX genes, including SOX11, and displays a similar<br />
target activation pr<strong>of</strong>ile to SOX5/SOX6. Thirdly, NPAS3, like<br />
NPAS2, is implicated in energy homeostasis by repressing<br />
genes encoding the majority <strong>of</strong> enzymes involved in<br />
glycolysis. Lastly, SOX11, which plays a key role during<br />
neuronal differentiation activates expression <strong>of</strong> a cluster <strong>of</strong><br />
histone genes on chromosome 6 that lie within the principal<br />
region associated with schizophrenia in recent genome-wide<br />
association studies. Q-PCR confirmation studies will be<br />
presented along with immun<strong>of</strong>luorescence findings <strong>of</strong> the<br />
NPAS3, SOX11 and target proteins in the hippocampus. We<br />
will also detail ongoing work attempting to place these genes<br />
within the time-course <strong>of</strong> neural prescursor cell differentiation.<br />
These data begin to unravel the component pathways <strong>of</strong><br />
neurogenesis and how they might impact on the aetiological<br />
processes <strong>of</strong> psychiatric illness.<br />
217 ANALYSIS OF AN ASSOCIATION BETWEEN THE<br />
DRD3, TPH2 AND HTR-2A GENES POLYMORPHISM<br />
AND SCHIZOPHRENIA (SCHZ) IN MALAYSIAN<br />
INDIVIDUALS<br />
S. Tee*, T. Chow, H. Loh, P. Tang<br />
* teesf@utar.edu.my<br />
Molecular components <strong>of</strong> the dopaminergic and serotoninergic<br />
pathways may play an important role in the pathophysiology<br />
<strong>of</strong> schizophrenia. The roles <strong>of</strong> the dopaminergic and<br />
serotoninergic systems have been implicated in the etiology <strong>of</strong><br />
schizophrenia (SCHZ) and other behavioral disorders. In this<br />
study, we investigated the relationship <strong>of</strong> the single nucleotide<br />
polymorphisms (SNPs) <strong>of</strong> Ser9Gly DRD3, rs-1438G/A<br />
5-HTR2A and intronic rs1386494 TPH2 with Malaysia<br />
cases-control. A total <strong>of</strong> 201 patients with SCHZ and 111<br />
healthy controls were investigated. PCR-RFLP was performed<br />
to genotype these three SNPs and deviation from Hardy<br />
Weinberg Equilibrium was determined. Allele and genotype<br />
distributions <strong>of</strong> rs-1438G/A 5-HTR2A showed a significant<br />
difference for cases and controls. However, no associations<br />
were found between the Ser9Gly DRD3 and intronic<br />
rs1386494 TPH2 with SCHZ while rs-1438G/A 5-HTR2A<br />
could be a susceptible gene for SCHZ based our preliminary<br />
results. We believe that further studied are required to<br />
examine the relationship between other dopamine and<br />
serotonin-related genes and the behavioral phenotypes <strong>of</strong><br />
SCHZ in the Malaysia individuals.
218 CYTOGENETIC DAMAGE IN SCHIZOPHRENIA<br />
POPULATION, TAMIL NADU, INDIA.<br />
V. Balachandar* (1)<br />
1. Human Genetics Laboratory, Bharathiar UNiversity,<br />
Coimbatore, Tamil Nadu, India<br />
*geneticbala@yahoo.co.in<br />
Schizophrenia is a relatively common debilitating, chronic,<br />
psychotic disorder. The focal aim <strong>of</strong> the present investigation<br />
was to identify the foremost chromosomal aberrations (CA)<br />
like deletion, translocation, inversion and mosaic in<br />
schizophrenic subjects <strong>of</strong> Tamilnadu, Southern India. In the<br />
present investigation 54 schizophrenia patients from 15 to<br />
58yrs <strong>of</strong> age and equal number <strong>of</strong> normal,<br />
Healthy controls in the same age wise manner were selected.<br />
After signing a consent form, both cases (experimentals and<br />
controls) provided a blood sample (5 ml) to establish cell<br />
culture. In 41 patients random numerical and structural<br />
aberrations were identified. Structural aberrations<br />
predominated, consisted <strong>of</strong> deletions, translocation, inversion<br />
and mosaicism <strong>of</strong> various chromosomes. Our study has<br />
detected 1, 7, 9, 11, 13, 21, and X suggested that these<br />
chromosomal scratches are prevalent in schizophrenics. In<br />
comparison with experimental subjects, the control subjects<br />
exhibited very low levels <strong>of</strong> major CA (P
220 DENSE ASSOCIATION MAPPING OF<br />
DIHYDROPYRIMIDINASE-LIKE 2 (DPYSL2) GENE IN<br />
SUSCEPTIBILITY TO SCHIZOPHRENIA IN THE<br />
JAPANESE POPULATION<br />
T. Koide*, B. Aleksic, I. Kushima, Y. Nakamura, Y. Ito, T.<br />
Inada, N. Iwata, N. Ozaki<br />
*t-koide@med.nagoya-u.ac.jp<br />
Dihydropyrimidinase-like 2 (DPYSL2), also known as<br />
collapsin response mediator protein 2 (CRMP2), mediates the<br />
intracellular response to collapsin, a repulsive extracellular<br />
guidance cue or axonal outgrowth. DPYSL2 was reported as a<br />
schizophrenia susceptibility gene by Nakata et al, and several<br />
independent association studies have replicated this<br />
association signal. However, the results <strong>of</strong> replication studies<br />
using smaller sets <strong>of</strong> markers have been inconsistent.<br />
Therefore, in order to address this issue, we performed dense<br />
association mapping <strong>of</strong> DPYSL2 in a Japanese population.<br />
SNP Tagging criteria were based on minor allele frequency<br />
(>10 %) and correlation coefficient between loci (>0.8) as<br />
reported in HAPMAP database.After genotyping <strong>of</strong> 23 SNPs,<br />
we identified 2 association signals in a statistical analysis<br />
(rs2585458; allelic P value: 0.048, rs4733048; genotypic P<br />
value: 0.02 and allelic P value: 0.01, before multiple<br />
comparison correction). In order to confirm this finding, we<br />
are typing independent cohorts for these 2.Our data provided<br />
evidence that DPYSL2 might elevate the risk for<br />
schizophrenia in the Japanese population. However,<br />
replicating the finding using larger sample size would be<br />
necessary for conclusive results. We concluded that the results<br />
were suggestive <strong>of</strong> an association with schizophrenia at this<br />
locus, but that they could not be considered conclusive<br />
without further replications.<br />
221 FURTHER EVIDENCE FOR ASSOCIATION OF<br />
WNT PATHWAY RELATED GENES WITH<br />
SCHIZOPHRENIA<br />
I. Kushima* (1), B. Aleksic (1), Y. Ito (1), Y. Nakamura (1),<br />
N. Iwata (2), N. Ozaki (1)<br />
1.Nagoya University Department <strong>of</strong> Psychiatry 2. Fujita health<br />
University Department <strong>of</strong> Psychiatry<br />
*kushima.itaru@a.mbox.nagoya-u.ac.jp<br />
Abnormalities in brain development, such as faulty neuronal<br />
migration, altered spatial neuronal arrangement and the<br />
absence <strong>of</strong> significant gliosis, have been reported in<br />
schizophrenia. Recent advances in the understanding <strong>of</strong> genes<br />
that regulate brain development <strong>of</strong>fer insights into the<br />
mechanism that underlie such developmental brain changes.<br />
One such genetic components involves the Wnt signaling<br />
which is central to normal brain development and which<br />
mediates cell adhesion, proliferation and gene transcription.<br />
Both DKK1 and KREMEN1 are on the Wnt pathway. DKK1<br />
gene encodes a protein that is a member <strong>of</strong> the dickkopf<br />
family. It is a secreted protein with two cysteine rich regions<br />
and is involved in embryonic development through its<br />
inhibition <strong>of</strong> the Wnt signaling. KREMEN1 encodes a<br />
high-affinity DKK1 transmembrane receptor that functionally<br />
cooperates with DKK1 to block Wnt signaling. KREMEN1 is<br />
located in chromosome 22 q12.1, a region implicated in<br />
several schizophrenia linkage studies.The aim <strong>of</strong> the current<br />
study was to examine the association <strong>of</strong> KREMEN1 and<br />
DKK1 and schizophrenia in a Japanese population. We<br />
genotyped 16 genetic variants within the two genes and<br />
examined their association with schizophrenia. Our samples<br />
consisted <strong>of</strong> 1573 patients with schizophrenia and 1580<br />
healthy controls divided into two sets. All subjects were <strong>of</strong><br />
Japanese descent. One variant in KREMEN1, rs713526 was<br />
significantly associated with schizophrenia. We replicated this<br />
association at the second sample sets.
222 AN ASSOCIATION STUDY OF TAGGING SNPS OF<br />
RAB23 AND SCHIZOPHRENIA IN JAPANESE<br />
POPULATION<br />
B. Aleksic* (1), I. Kushima (1), Y. Ito (1), Y. Nakamura (1),<br />
T. Inada (1), N. Iwata (1), N. Ozaki (1)<br />
1. Department <strong>of</strong> Psychiatry, Graduate School <strong>of</strong> Medicine,<br />
Nagoya University, Japan<br />
*branko@med.nagoya-u.ac.jp<br />
RAB23, member RAS oncogene family, is a human gene. The<br />
protein encoded by this gene belongs to the small GTPase<br />
superfamily, Rab family. It is involved in small GTPase<br />
mediated signal transduction and intracellular protein<br />
transportation. Alternative splicing occurs at this locus and<br />
two transcript variants encoding the same protein have been<br />
identified. In the brain, RAB23 is found predominantly in cell<br />
bodies <strong>of</strong> neurons. This gene is attractive functional candidate<br />
gene for schizophrenia, and so far there was no association<br />
study focused on this locus. Therefore, the goal <strong>of</strong> this study<br />
was to assess the influence <strong>of</strong> genetic factors related to this<br />
locus on schizophrenia from point <strong>of</strong> common disease<br />
common variant hypothesis. Total <strong>of</strong> 11 SNPs were selected<br />
for comprehensive coverage <strong>of</strong> RAB23 locus. Tagging criteria<br />
are based on minor allele frequency (>5 %) and correlation<br />
coefficient between loci (>0.8) as reported in HAPMAP<br />
database. Our sample consisted <strong>of</strong> 754 schizophrenic patients<br />
and 783 healthy controls. We detected 3 association signals in<br />
3’ region <strong>of</strong> the RAB23.Our data provided evidence that<br />
common SNP within RAB23 locus might elevate the risk for<br />
schizophrenia in the Japanese population. However,<br />
replicating the finding using larger sample size would be<br />
necessary for conclusive results. We concluded that the results<br />
were suggestive <strong>of</strong> an association with schizophrenia at this<br />
locus, but that they could not be considered conclusive<br />
without further replications.<br />
223 TAG-SNP BASED ASSOCIATION STUDY OF 109<br />
CANDIDATE GENES FOR SCHIZOPHRENIA<br />
SELECTED USING AN EVIDENCE-BASED<br />
PRIORITIZATION ALGORITHM<br />
A. Fanous* (1), Z. Zhao (2), B. Webb (3), E. van den Oord<br />
(3), B. Maher (3), S. Bergen (3), R. Amdur (1), F. O'Neill (4),<br />
D. Walsh (5), B. Riley (3), K. Kendler (3)<br />
1. Washington VA <strong>Medical</strong> Center 2. Vanderbilt University<br />
3. Virginia Commonwealth University 4. Queen's University,<br />
Belfast 5. Health Research Board, Dublin<br />
*ahfanous@vcu.edu<br />
Integrating evidence from multiple domains may be useful in<br />
prioritizing genes for subsequent testing. We ranked all<br />
known genes under several linkage peaks in the Irish Study <strong>of</strong><br />
High-Density Schizophrenia Families using three different<br />
evidence domains; 1) a meta-analysis <strong>of</strong> microarray gene<br />
expression results using the Stanley Brain collection, 2) a<br />
schizophrenia protein-protein interaction network, and 3)<br />
systematic literature searching. Each gene was assigned a<br />
domain specific p-value and ranked after evaluating the<br />
evidence within each domain. For Protein-Protein Interaction,<br />
the steps from the schizophrenia susceptibility genes a)<br />
DTNBP1, b) NRG1, and c) Akt1 in Protein-Protein<br />
Interaction databases were determined, respectively. For<br />
Literature Searches, Pubmed was systematically searched<br />
using all genes with 40 schizophrenia-related search terms.<br />
For a final ranking <strong>of</strong> these genes, we summed the -log10 <strong>of</strong><br />
their P-values on each <strong>of</strong> these five variables (or Q-values in<br />
the case <strong>of</strong> Gene Expression). In addition, any gene with Gene<br />
Ontology terms that included “nervous system development”<br />
or “brain development” was also selected (n=65).<br />
Approximately 3000 SNPs from a custom Illumina iSelect<br />
genotyping array using the Infinium assay were allocated to<br />
evaluate selected genes. After assigning all LD tagging SNPs<br />
in ranked genes, these, and the top 44 genes were investigated<br />
using 2,849 SNPs. No individual SNPs were significant after<br />
correction for multiple testing. However, a number <strong>of</strong> genes<br />
contained clusters <strong>of</strong> SNPs with p
224 GENOME-WIDE ASSOCIATION STUDY OF<br />
SCHIZOPHRENIA IN A SWEDISH<br />
POPULATION-BASED SAMPLE<br />
Y. Liu* (1), C. Hultman (2), P. Lichtenstein (2), P. Sklar (3),<br />
P. Sullivan (1)<br />
1. The University North Carolina at Chapel Hill, Department<br />
<strong>of</strong> Genetics 2. Karolinska Institute 3. Massachusetts General<br />
Hospital<br />
*youfang@email.unc.edu<br />
Schizophrenia is a complex disease with multiple genes and<br />
environmental exposures likely involved. This study includes<br />
three sets <strong>of</strong> Swedish cases and controls totaling 1097 cases<br />
and 1303 controls with all individuals selected from<br />
population-based registries. Cases were hospitalized at least<br />
twice with a discharge diagnosis <strong>of</strong> schizophrenia or<br />
schizoaffective disorder (we have previously shown that this<br />
definition <strong>of</strong> illness corresponds closely to standard<br />
definitions). Controls were required never to have been<br />
hospitalized for a psychotic illness. GWAS genotyping was<br />
conducted at the Broad Institute using Affymatrix 5.0 and 6.0<br />
arrays. To ensure data quality, harsh quality control was<br />
performed: SNPs with missing rate > 0.01, MAF < 0.05 or<br />
HWE deviations were excluded. Subjects with missing rate ><br />
0.01, 2nd or 1st degree relationship with other individuals, and<br />
outlying empirical ancestries were removed. Imputation was<br />
accomplished by MACH for each data set. GWAS was<br />
performed by ProbABEL using logistic regression.<br />
Fixed-effects meta-analysis was applied using a weighted<br />
z-score method and its distribution was checked for inflation<br />
by (lambda = 1.00). Although no marker reached<br />
genome-wide significance, the top two genes were interesting.<br />
MAGI2 (Pmin= 1.3e-6) is a possible scaffold molecule at<br />
synaptic junctions and may assemble neurotransmitter<br />
receptors and cell adhesion proteins and regulate<br />
activin-mediated signaling in neuronal cells. The second gene,<br />
GABRB3 (Pmin=3.7e-6), is a ligand-gated ionic channel<br />
family and encodes a subunit <strong>of</strong> the receptor for<br />
gamma-aminobutyric acid which is the major inhibitory<br />
transmitter <strong>of</strong> the nervous system, and a prior candidate gene<br />
for schizophrenia.<br />
225 EXTENDED HAPLOTYPE SHARING IN<br />
SCHIZOPHRENIA<br />
Y. Liu* (1), K. Wilhelmsen (1), C. Hultman (2), P.<br />
Lichtenstein (2), P. Sklar (3), P. Sullivan (1)<br />
1. The University North Carolina at Chapel Hill, Department<br />
<strong>of</strong> Genetics 2. Karolinska Institutet 3. Massachusetts General<br />
Hospital<br />
*youfang@email.unc.edu<br />
Recently, a long segment with high LD containing hundreds<br />
SNPs and multiple genes in the MHC region on chromosome<br />
6p21.3-22.1 was identified by association analyses in<br />
European schizophrenia studies. Thus, long haplotype or long<br />
DNA segment based association methodology is worthy <strong>of</strong><br />
exploration for relevance to schizophrenia. Haplotype sharing<br />
methods have been shown by simulation to achieve higher<br />
power than single maker analysis. However, most current<br />
haplotype sharing methods can only handle short haplotypes.<br />
CHAT (Convergent Haplotype Association Tagging), a new<br />
long haplotype sharing method developed by Dr Kirk<br />
Wilhelmsen (unpublished), implements a computationally<br />
intensive heuristic algorithm that identifies long shared<br />
haplotypes for which subsets <strong>of</strong> the population are likely to<br />
have inherited from a recent common ancestor. CHAT is<br />
designed to detect mutations <strong>of</strong> moderate penetrance and is<br />
resistant to the confounding effects <strong>of</strong> population substructure<br />
and allelic and locus heterogeneity. We applied CHAT to an<br />
unpublished schizophrenia case-control data set from a<br />
population based sample <strong>of</strong> 538 cases and 904 controls<br />
genotyped at the Broad Institute using Affymatrix 6.0 arrays.<br />
Harsh quality control was performed before analysis. Two<br />
regions were identified by CHAT. Both are rare variants<br />
which were not detected by single marker analysis - a 350 Kb<br />
region located on chromosome 3 containing one possible gene<br />
and a 3.8 Mb region located on chromosome 15 containing<br />
more than 20 genes involved in FGFR signaling pathway and<br />
lipid and lipoprotein metabolism – although the MHC region<br />
was not detected.
226 ASSOCIATION BETWEEN COMT GENE<br />
MET158VAL POLYMORPHISM AND<br />
SCHIZOPHRENIA<br />
H. Loh* (1), S. Tee (2), T. Chow (3), P. Tang (4)<br />
1. Universiti Tunku Abdul Rahman<br />
*hcloh@utar.edu.my<br />
Catechol-O-methyltransferase (COMT) is an enzyme involved<br />
in the degradation <strong>of</strong> the neurotransmitter dopamine (DA). A<br />
single nucleotide polymorphism (SNP) within the<br />
humanCOMT gene dramatically affects the activity <strong>of</strong> the<br />
enzyme and as a result, directly influences DA availability in<br />
the brain. In this study, we examined the relationship <strong>of</strong> the<br />
single nucleotide polymorphism (SNP) between the COMT<br />
Met158Val polymorphism in 123 healthy individuals and 143<br />
schizophrenic patients (MINI criteria) in Malaysia.<br />
PCR-RFLP was performed to genotype the COMT Met158Val<br />
SNP. Allele and genotype distributions showed a significant<br />
difference between Malaysia cases and controls. Both <strong>of</strong> the<br />
groups are out <strong>of</strong> Hardy -Weinberg equilibrium for the<br />
analyzed genetic variability. Further studies are required to<br />
examine the relationship between dopamine-related genes and<br />
the behavioral phenotypes <strong>of</strong> schizophrenia in the Malaysia<br />
population.<br />
227 FIBROBLAST GROWTH FACTORS AND BRAIN<br />
VOLUME IN SCHIZOPHRENIA PATIENTS AND<br />
HEALTHY CONTROLS<br />
A. Terwisscha van Scheltinga* (1), S. Bakker (1), N. van<br />
Haren (1), H. Hulsh<strong>of</strong>f Pol (1), W. Cahn (1), R. Oph<strong>of</strong>f (1), R.<br />
Kahn (1)<br />
1. UMC Utrecht<br />
*aterwiss@umcutrecht.nl<br />
Background: There is convincing evidence for an involvement<br />
<strong>of</strong> fibroblast growth factors (FGFs) in schizophrenia 1. FGFs<br />
regulate growth, maintenance and repair <strong>of</strong> neuronal tissue.<br />
This makes the genes in the FGF system plausible candidate<br />
genes for the smaller brain volume seen in schizophrenia<br />
patients and their relatives relative to control subjects. We use<br />
total brain volume as an endophenotype <strong>of</strong> schizophrenia,<br />
since it has a 90% heritability, can be reliably measured,<br />
cosegregates with illness in families and is relatively<br />
independent <strong>of</strong> clinical state 2. Method: Using online genomic<br />
databases 915 SNPs in 22 FGFs, 5 FGF receptors and 56<br />
interacting genes were selected and genotyped using the<br />
Illumina HumanHap550 beadchip. A 1.5T MRI scan <strong>of</strong> the<br />
brain was acquired for 169 schizophrenia cases and 159<br />
healthy controls. Total brain volume was estimated and<br />
corrected for age, sex and intracranial volume. A linear<br />
regression analysis was performed, using disease status as an<br />
independent variable. Results: After correction for 83 genes 1<br />
SNP in fibroblast growth factor receptor substrate 2 (FRS2)<br />
showed suggestive association with total brain volume<br />
(corrected p = 0.056) both in patients and controls, explaining<br />
3% <strong>of</strong> the variation in total brain volume. Discussion: This<br />
SNP is associated with the normal variation in total brain<br />
volume rather than with the disease specific decline in total<br />
brain volume.
228 IDENTIFICATION OF THE SUBCELLULAR<br />
LOCALIZATION DISC1 ISOFORMS AND THE<br />
IMPACT OF A NOVEL DISC1 ISOFORM, DISC1-ESV,<br />
IN SCHIZOPHRENIA<br />
C. Wen* (1), C. Liu (1), Y. Liu (2), H. Hwu (1)<br />
1. Department <strong>of</strong> Psychiatry, National Taiwan University<br />
Hospital and National Taiwan University College <strong>of</strong><br />
Medicine, Taipei, Taiwan 2. Division <strong>of</strong> Mental Health and<br />
Substance Abuse Research, National Health Research<br />
Institutes, Miaoli, Taiwan<br />
*f90445111@ntu.edu.tw<br />
Schizophrenia is one <strong>of</strong> the neuropsychiatry disorders. Genetic<br />
studies have indicated that many genes are associated with<br />
schizophrenia. Disrupted-in-schizophrenia 1 (DISC1) was first<br />
identified in a large Scottish family which had been reported<br />
as one <strong>of</strong> the risk gene involved in the pathogenesis <strong>of</strong><br />
schizophrenia. Previous studies indicated that endogenous<br />
DISC1 could locate in nucleus, cytoplasm, centrosome and<br />
mitochondria, and DISC1-L form could locate in nucleus and<br />
cytoplasm. The functions <strong>of</strong> DISC1 might involve with neurite<br />
outgrowth and cell cycle regulation; however, the detail<br />
functions <strong>of</strong> DISC1 were still unclear. DISC1 included at least<br />
four is<strong>of</strong>orms but, few <strong>of</strong> studies described the functions <strong>of</strong> all<br />
DISC1 is<strong>of</strong>orms. In this paper, we wanted to identify the<br />
functions and cellular distributions <strong>of</strong> all DISC1 is<strong>of</strong>orms. It is<br />
the first time to study the difference between all DISC1<br />
is<strong>of</strong>orms. We cloned DISC1 is<strong>of</strong>orms expression constructs<br />
included DISC1-L, DISC1-Lv, DISC1-S and a novel is<strong>of</strong>orm,<br />
DISC1-Esv, from human hippocampus but we failed to clone<br />
DISC1-Es form. Immun<strong>of</strong>luorenscence assay indicated that<br />
majority <strong>of</strong> DISC1-L and Lv form could be observed in<br />
cytoplasm and DISC1-S could be detected both in nucleus and<br />
cytoplasm and DISC1-Esv also could be recognized both in<br />
nucleus and cytoplasm, but DISC1-Esv with dense stained in<br />
nucleus. The subcellular localization <strong>of</strong> DISC1-L, Lv and Esv<br />
could change after retinoic acid treatment. Furthermore, the<br />
RNA expression level <strong>of</strong> DISC1-Esv in schizophrenia patient<br />
was higher than that in control. Taken together, DISC1-L Lv<br />
and Esv might involve in neurite outgrowth regulation, and<br />
DISC1-Esv might be an candidate risk protein in Taiwanese<br />
schizophrenia population.<br />
229 NO ASSOCIATION OF THE SEROTONIN<br />
TRANSPORTER POLYMORPHISMS 5-HTTLPR AND<br />
RS25531 WITH SCHIZOPHRENIA OR<br />
NEUROCOGNITION<br />
T. Konneker* (1), J. Crowley (1), C. Quackenbush (1), R.<br />
Keefe (2), D. Perkins (3), T. Stroup (3), J. Lieberman (4), E.<br />
van den Oord (5), P. Sullivan (6)<br />
1. Department <strong>of</strong> Genetics, University <strong>of</strong> North Carolina at<br />
Chapel Hill 2. Department <strong>of</strong> Psychiatry, Duke University<br />
3. Department <strong>of</strong> Psychiatry, University <strong>of</strong> North Carolina at<br />
Chapel Hill 4. Department <strong>of</strong> Psychiatry, Columbia University<br />
5. Department <strong>of</strong> Pharmacology, Virginia Commonwealth<br />
University 6. Department <strong>of</strong> Genetics, University <strong>of</strong> North<br />
Carolina at Chapel Hill; Department <strong>of</strong> <strong>Medical</strong> Epidemiology<br />
& Biostatistics, Karolinska Institutet, Stockholm, Sweden<br />
*kneeker@med.unc.edu<br />
The 5-HTTLPR is a 44 base pair insertion-deletion<br />
polymorphism in the promoter region <strong>of</strong> the serotonin<br />
transporter (SLC6A4), and contributes to the regulation <strong>of</strong> the<br />
expression <strong>of</strong> SLC6A4. The serotonin transporter is a<br />
membrane bound protein which transports serotonin from<br />
synapses into pre-synaptic neurons. The 5-HTTLPR has been<br />
heavily studied in relation to many psychiatric diseases,<br />
endophenotypes, and drug response phenotypes. A single<br />
nucleotide polymorphism rs25531 (A/G) within the<br />
polymorphic 5-HTTLPR has been shown to alter expression<br />
<strong>of</strong> SLC6A4 . Many prior studies have thus incorrectly<br />
considered this triallelic polymorphism as biallelic (i.e.,<br />
5-HTTLPR*LA, LG, and S as opposed to 5-HTTLPR*L or S).<br />
In light <strong>of</strong> this discovery and the prevalence <strong>of</strong> rs25531 in<br />
certain ancestry groups, it is possible that previous studies<br />
may have been confounded by the previously unknown<br />
variant. Therefore, we tested 5-HTTLPR and rs25531 for<br />
association with chronic schizophrenia, cognitive phenotypes<br />
related to schizophrenia, and symptom status in a sample <strong>of</strong><br />
728 cases and 724 controls from the CATIE sample. We<br />
found no significant association <strong>of</strong> the 5-HTTLPR/rs25531<br />
composite genotype with the diagnosis <strong>of</strong> schizophrenia<br />
(p=0.72), an omnibus measure <strong>of</strong> neurocognition (p=0.21) or<br />
with working memory (p=0.32) at study baseline. Similarly,<br />
there was no association with PANSS positive (p=0.67) or<br />
negative symptoms (p=0.46) at study baseline (covariates age,<br />
sex, and 7 principal components). In conclusion, we were<br />
unable to identify association <strong>of</strong> the 5-HTTLPR/ rs25531 with<br />
schizophrenia, neurocognition, or core psychotic symptoms –<br />
even at levels <strong>of</strong> significance unadjusted for multiple<br />
comparisons.
230 GENETIC MARKERS FOR SUICIDE RISK IN<br />
SCHIZOPHRENIA<br />
E. Olsson* (1), D. Sudic (2), H. Druid (3), M. Schalling (2),<br />
U. Ösby (1)<br />
1. Department <strong>of</strong> Clinical Neuroscience, Karolinska Institutet,<br />
Stockholm, Sweden; Department <strong>of</strong> Psychiatry, Danderyd<br />
University Hospital, Stockholm, Sweden 2. Department <strong>of</strong><br />
Molecular Medicine and Surgery, Karolinska Institutet,<br />
Stockholm, Sweden 3. Department <strong>of</strong> Oncology-Pathology,<br />
Karolinska Institutet, Stockholm, Sweden<br />
*eric.olsson@sll.se<br />
Around 5% <strong>of</strong> patients with schizophrenia will die from<br />
suicide. Improved prediction <strong>of</strong> increased suicide risk is <strong>of</strong><br />
great importance in order to improve prognosis in<br />
schizophrenia. Molecular genetic association studies <strong>of</strong> suicide<br />
risk, also in schizophrenia, have focused on genes related to<br />
the serotonin system. There are several promising findings but<br />
also some contradictory results. This may be due to limitations<br />
<strong>of</strong> association studies, too small samples, diagnostic<br />
heterogeneity, and suicide attempt as phenotype rather than<br />
suicide per se. The purpose <strong>of</strong> this study is to identify genetic<br />
risk markers for suicide in schizophrenia. We use genetic<br />
association, comparing schizophrenic patients who have died<br />
from suicide with living schizophrenic patients, and also with<br />
a population-based control group. By linkage <strong>of</strong> diagnosis<br />
from the Patient Register with the cause <strong>of</strong> death from the<br />
Swedish Forensic database, 351 cases from three Counties in<br />
Sweden have been identified. The cases have a clinical<br />
schizophrenia diagnosis, have suicide as the certain, probable<br />
or possible cause <strong>of</strong> death and there is tissue available from<br />
the forensic autopsy. The control groups consist <strong>of</strong> patients<br />
with schizophrenia, and blood donor population controls from<br />
Stockholm County. This poster will describe the cases and the<br />
structure <strong>of</strong> the project.We will initially analyze SNPs based<br />
on previous studies in the genes TPH1, TPH2, 5-HTT,<br />
MAO-A, 5HT2A, all involved in the serotonin pathway. This<br />
study will in a favorable way address previous problems with<br />
identifying genetic markers for increased suicide risk in<br />
schizophrenia.<br />
231 PROTEOMIC ANALYSIS OF THE<br />
LYMPHOBLASTOID CELL LINE IN THE JAPANESE<br />
SCHIZOPHRENIC PATIENTS<br />
A. Yoshimi* (1), T. Nagai (1), S. Yamada (2), R. Ishihara (3),<br />
M. Ohashi (2), Y. Ito (3), Y. Noda (2), K. Yamada (1), N.<br />
Ozaki (3)<br />
1. Department <strong>of</strong> Neuropsychopharmacology and Hospital<br />
Pharmacy, Nagoya University Graduate School <strong>of</strong> Medicine<br />
2. Division <strong>of</strong> Clinical Sciences and<br />
Neuropsychopharmacology, Graduate School <strong>of</strong><br />
Pharmaceutical Sciences, Meijo University 3. Department <strong>of</strong><br />
Psychiatry, Nagoya University Graduate School <strong>of</strong> Medicine<br />
*akira-yoshimi@med.nagoya-u.ac.jp<br />
Schizophrenia is a chronic and disabling mental disorder with<br />
a lifetime prevalence <strong>of</strong> approximately 1% <strong>of</strong> the global<br />
population. There is no validated method based on the<br />
pathophysiology for diagnosis <strong>of</strong> the disease although a<br />
number <strong>of</strong> studies have shown several convincing candidate<br />
genes or molecules. Proteomic analyses have many<br />
advantages compared to gene expression analyses since they<br />
can provide further understandings for pathophysiology <strong>of</strong><br />
disease and the molecular biology based diagnostic tools. To<br />
explore the biomarkers <strong>of</strong> schizophrenia, we performed the<br />
florescence two-dimensional differential gel electrophoresis<br />
(2D–DIGE) analysis <strong>of</strong> lymphoblastoid cell line from 29<br />
schizophrenia and 29 control subjects. Differentially expressed<br />
proteins were subsequently identified by LC-MS/MS. A<br />
2D-DIGE analysis revealed that 1103±11.7 and 1103±13.3<br />
unique spots were identified in the schizophrenia and control<br />
group, respectively. No differences were observed between<br />
two groups in the total number <strong>of</strong> protein spots, and more than<br />
95% <strong>of</strong> all spots were matched to the reference gel. Changes<br />
in the relative abundance <strong>of</strong> 20 protein spots were identified in<br />
the schizophrenia compared to the control group. Seven spots<br />
exhibited an increase in the schizophrenia whereas 13 protein<br />
spots were decreased (Student’s t-test, p
232 ANALYSIS OF GENE EXPRESSION IN<br />
DORSOLATERAL PREFRONTAL CORTEX OF<br />
SCHIZOPHRENICS AND CONTROLS<br />
E. Shen* (1), A. Guillozet-Bongaarts (1), T. Hyde (2), B.<br />
Swanson (1), L. Kuan (1), J. Royall (1), J. Hohmann (1), A.<br />
Jones (1), J. Kleinman (2), H. Zeng (1)<br />
1. Allen Institute for Brain Science 2. Clinical Brain Disorders<br />
Branch, Genes Cognition and Psychosis Program, Intramural<br />
Research Program, NIMH, NIH<br />
*elaines@alleninstitute.org<br />
A dataset <strong>of</strong> gene expression information using colorimetric in<br />
situ hybridization (ISH) in postmortem human dorsolateral<br />
prefrontal cortex (DLFPC) <strong>of</strong> schizophrenic (SCZ; n = 15) and<br />
control subjects (n = 33) was generated for 60 genes<br />
comprising SCZ candidate genes, cell-type markers and<br />
cortical layer markers. An established high-throughput<br />
process and platform was used to perform ISH on frozen<br />
tissue that was sectioned, placed on slides and exposed to<br />
cDNA probes specifically targeted to each <strong>of</strong> the 60 genes <strong>of</strong><br />
interest. Nissl stained reference sections were generated every<br />
500 um. All Nissl and ISH slides were digitally scanned and<br />
all QC-passed data images were made publicly available via<br />
the Allen Institute’s data portal, www.brain-map.org.<br />
Brodmann areas 9 and 46 were delineated on all nissl stained<br />
sections. To characterize overall variability in DLPFC gene<br />
expression patterns, as well as differences in gene expression<br />
between SCZ and control subjects, a quantitative data analysis<br />
strategy was developed that includes informatics-based<br />
detection and analysis <strong>of</strong> four main ISH metrics: percentage<br />
<strong>of</strong> total area labeled, number <strong>of</strong> expressing objects<br />
(presumably cells) per mm2, object optical density (gene<br />
expression intensity in cells), and integrated optical density.<br />
Data pr<strong>of</strong>iles were generated by plotting each metric against<br />
cortical depth. Our initial analyses demonstrated that: (1) data<br />
pr<strong>of</strong>iles recapitulated gene expression patterns and (2) GRIK4<br />
gene expression differed between SCZ and control groups.<br />
Analysis <strong>of</strong> KIAA1576 indicated possible population<br />
differences in expression patterns.<br />
233 WHOLE GENOME SCAN ON SCHIZOPHRENIA<br />
IN 2 ARAB ISRAELI SAMPLES<br />
S. Lupoli* (1), P. Cozzi (2), A. Alkelai (3), A. Orro (2), F.<br />
Torri (4), E. Salvi (5), C. Cosentino (5), V. Tieran (5), L.<br />
Milanesi (2), B. Lerer (3), F. Macciardi (6)<br />
1. INSPE, San Raffaele Scientific Institute, Milan, Italy;<br />
University <strong>of</strong> Milan, Filarete Foundation, Milan, Italy<br />
2. ITB, CNR, Milan, Italy 3. Hadassah–Hebrew University<br />
<strong>Medical</strong> Center, Jerusalem, Israel 5. University <strong>of</strong> Milan,<br />
Filarete Foundation, Milan, Italy 6. University <strong>of</strong> Milan,<br />
Filarete Foundation, Milan, Italy; Department <strong>of</strong> Psychiatry<br />
and Human Behavior, University <strong>of</strong> California, Irvine, CA,<br />
USA<br />
*sara.lupoli@hsr.it<br />
Schizophrenia is a major public health problem with a 1%<br />
incidence worldwide, a high suicide rate, and enormous<br />
human and financial costs. It is widely considered to be a<br />
genetically mediated neurodevelopmental disorder and<br />
identification <strong>of</strong> potential candidate genes has accelerated in<br />
recent years. Whole-genome association (WGA) studies have<br />
identified multiple regions across the genome that are<br />
promising candidates <strong>of</strong> modest effect for schizophrenia. For 2<br />
Arab Israeli families with multiple cases <strong>of</strong> schizophrenia, we<br />
have performed a WGA family study examining<br />
approximately 370 000 markers (Illumina<br />
HumanCNV370-Duo). Plink 1.06 was used for quality<br />
control (QC) <strong>of</strong> genotype data, IBD (identity-by-descent)<br />
similarity matrix for checking pedigree errors, Transmission<br />
Disequilibrium Test (TDT) and permutations as correction<br />
methods for the TDT. Preliminary analysis shows 34 SNPs<br />
with p-value exceeding significance 10E-5 or less. Two SNPs<br />
bypass a p-value <strong>of</strong> 4.00E-06; one maps in SLIT (slit<br />
(Drosophila) homolog 1) gene and 1 in AHI1. Thirty-two<br />
SNPs reach 1e-05. Among our best results we detected<br />
associated SNPs in N-Methyl-D-Aspartate Receptor subunit<br />
2B (GRIN2B), Nerve Growth Factor Receptor (NGFR), and<br />
Glutamate Receptor Metabotropic 8 (GRM8), confirming<br />
previous studies on schizophrenia. Most <strong>of</strong> our associated<br />
genes are involved in neurodevelopment pathways.As recent<br />
papers (1,2) support association between chromosomal<br />
abnormalities and schizophrenia, analysis <strong>of</strong> Copy Number<br />
Variation (CNV), structural variations within the human<br />
genome, is on going on our datasets. 1 The International<br />
Schizophrenia Consortium: Rare chromosomal deletions and<br />
duplications increase risk <strong>of</strong> schizophrenia. Nature 455,<br />
237-241, 2008. 2Terry Vrijenhoek et al.: Recurrent CNVs<br />
Disrupt Three Candidate Genes in Schizophrenia Patients. The<br />
American Journal <strong>of</strong> Human Genetics 83, 504–510, 2008.
234 NRG1 AND DTNBP1 ARE ASSOCIATED WITH<br />
NON-DEFICIT SCHIZOPHRENIA AND SYMPTOM<br />
SEVERITY IN A HUNGARIAN SAMPLE<br />
J. Réthelyi* (1), S. Bakker (2), P. Polgár (1), P. Czobor (1), E.<br />
Strengman (3), P. Pásztor (4), R. Kahn (2), I. Bitter (1)<br />
1. Department <strong>of</strong> Psychiatry and Psychotherapy, Semmelweis<br />
University, Budapest, Hungary 2. The Rudolf Magnus<br />
Institute <strong>of</strong> Neuroscience, Department <strong>of</strong> Psychiatry,<br />
University <strong>Medical</strong> Centre Utrecht, Utrecht, The Netherlands<br />
3. Complex Genetics Section, Department <strong>of</strong> Biomedical<br />
Genetics, University <strong>Medical</strong> Center Utrecht, Utrecht, The<br />
Netherlands 4. Department <strong>of</strong> Psychiatry, St. John’s Hospital,<br />
Budapest, Hungary<br />
*rethelyi@psych.sote.hu<br />
Association studies have yielded extensive, but frequently<br />
contradictory data about the genetic risk factors <strong>of</strong><br />
schizophrenia. Clinical and genetic heterogeneity are possible<br />
factors explaining the inconclusive findings. The objective <strong>of</strong><br />
this study was to test the association <strong>of</strong> commonly<br />
incriminated candidate genes with two clinically divergent<br />
subgroups, non-deficit (SZ-ND) and deficit-schizophrenia<br />
(SZ-D), and with symptom severity. DNA samples from a<br />
homogeneous sample <strong>of</strong> 280 schizophrenia patients and 230<br />
healthy controls <strong>of</strong> Hungarian, Caucasian descent were<br />
genotyped for polymorphisms in schizophrenia candidate<br />
genes NRG1, DTNBP1, RGS4, G72/G30 and PIP5K2A.<br />
Patients were divided into the diagnostic subgroups <strong>of</strong> SZ-ND<br />
and SZ-D using the Schedule for Deficit Syndrome (SDS),<br />
and assessed clinically by the Positive and Negative Symptom<br />
Scale (PANSS). Polymorphisms in RGS4, G72/G30, and<br />
PIP5K2A were neither associated with SZ-ND, nor SZ-D.<br />
SNP8NRG241930 in NRG1 and rs1011313 in DTNBP1 were<br />
associated with SZ-ND (p=0.04 and p=0.03, respectively).<br />
SNP8NRG241930 showed association with the PANSS<br />
cognitive and hostility/excitability factor, rs1011313 with the<br />
negative factor and SDS total score, and rs10917670 in RGS4<br />
was associated with the depression factor. Our data seem to<br />
confirm previously reported association <strong>of</strong> NRG1 with<br />
schizophrenia without prominent negative symptoms. It was<br />
possible to detect association <strong>of</strong> small to medium effect sizes<br />
between the investigated candidate genes and symptom<br />
severity. Similar studies may unravel the possible connection<br />
between genetic and clinical heterogeneity in schizophrenia.<br />
235 SYSTEMATIC MUTATION SCREENING STUDY<br />
FOR ANXA7 AND PPP3CB IN SCHIZOPHRENIA<br />
C. Liu* (1), H. Hwu (1), U. Yang (2), P. Hsu (2), C. Fann (3),<br />
Y. Liu (4), C. Wen (1), C. Chang (3)<br />
1. Department <strong>of</strong> Psychiatry, National Taiwan University<br />
Hospital, Taipei, Taiwan 2. Institute <strong>of</strong> Bioinformatics,<br />
National YangMing University, Taipei, Taiwan 3. Institute <strong>of</strong><br />
Biomedical Science, Academia Sinica, Taipei, Taiwan 4.<br />
Division <strong>of</strong> Mental Health and Substance Abuse Research,<br />
National Health Research Institutes, Taipei, Taiwan<br />
* cmliu1968@ntu.edu.tw<br />
Annexin A7 (ANXA7) and protein phosphatase 3 (formerly<br />
2B), catalytic subunit, beta is<strong>of</strong>orm (PPP3CB) have been<br />
reported associated with schizophrenia in our previous<br />
association studies. The aim <strong>of</strong> the study is to search for the<br />
risk polymorphisms <strong>of</strong> the two genes for schizophrenia using<br />
systematic mutation screening method. We have sequenced<br />
the exons and the promoter regions <strong>of</strong> the two genes in 50<br />
controls and 42 schizophrenic patients. We have identified 16<br />
and five genetic variations <strong>of</strong> ANXA7 and PPP3CB,<br />
respectively. and 11 genetic variations <strong>of</strong> them have been<br />
genotyped in a large case-control sample, including 600<br />
supernormal controls and 912 schizophrenic patients. We<br />
found the C allele <strong>of</strong> a novel SNP (PPP3CB-1) in the promoter<br />
region, and the C allele <strong>of</strong> SNP rs58876184 in the 3’UTR<br />
region <strong>of</strong> PPP3CB, is significantly over-represented in the<br />
case groups (p = 0.038 and 0.018, respectively). The haplotype<br />
composed <strong>of</strong> the four genetic variations <strong>of</strong> PPP3CB also<br />
showed significant haplotype frequency difference between<br />
the cases and controls. Our data showed the genetic variations<br />
in the promoter region and 3’ UTR region <strong>of</strong> PPP3CB is<br />
probably related to genetic vulnerability <strong>of</strong> schizophrenia.<br />
Further clarification <strong>of</strong> the biological function <strong>of</strong> the two<br />
genetic variations is ongoing.
236 ASSOCIATION BETWEEN NRG-1 MARKERS AND<br />
REGIONAL BRAIN MORPHOMETRY IN PSYCHOTIC<br />
DISORDERS<br />
A. Dutt* (1,2), C. McDonald (1,2), E. Dempster (1,2), D.<br />
Prata (1,2), M. Shaikh (1,2), I. Williams (1,2), S. Amankwa<br />
(1,2), K. Schulze (1,2), N. Marshall (1,2), M. Walshe (1,2), M.<br />
Allin (1,2), D. Collier (1,2), R. Murray (1,2), E. Bramon (1,2)<br />
1. NIHR Biomedical Research Centre, Institute <strong>of</strong> Psychiatry<br />
(King’s College London)/South London 2. Maudsley NHS<br />
Foundation Trust, London, UK<br />
*Anirban.Dutt@kcl.ac.uk<br />
Introduction: Lateral ventricular enlargement and hippocampal<br />
volume deficits are commonly observed morphometric<br />
abnormalities in psychotic disorders such as schizophrenia and<br />
psychotic bipolar disorder. The neuregulin gene (NRG1) has<br />
been associated with both these disorders, and it is believed to<br />
regulate different neurodevelopmental processes including<br />
neuronal and glial cell survival, proliferation, migration and<br />
differentiation. In our study we investigated the effect <strong>of</strong><br />
NRG-1 markers on lateral ventricular and hippocampal<br />
volumes in psychosis. Methods: 360 participants comprising<br />
<strong>of</strong> patients with psychosis, their family members, and<br />
unrelated healthy controls <strong>of</strong> white European ancestry<br />
underwent structural MRI and genotyping. The<br />
NRG-1 markers consisted <strong>of</strong> one single nucleotide<br />
polymorphism marker (SNP8NGR22153) and two<br />
micro-satellites (478B14-848 and 420 M9-1395). The effect <strong>of</strong><br />
candidate genes on brain morphometry was examined using<br />
linear regression models adjusting for clinical group, age, sex<br />
and correlations between members <strong>of</strong> the same family.<br />
Results: There was no evidence <strong>of</strong> association between the<br />
NRG-1 markers and either ventricular or hippocampal<br />
volumes. Conclusion: Our study demonstrates that the<br />
neuregulin gene does not influence ventricular or hippocampal<br />
volumetric deficits in psychotic disorders. Although the<br />
neuregulin gene has been associated with both schizophrenia<br />
and bipolar disorder, it must have very modest influence on<br />
regional morphometric deviations on its own.<br />
237 IDENTIFYING CNV’S IN SCHIZOPHRENIA<br />
USING MULTIPLEX AMPLICON QUANTIFICATION<br />
(MAQ) AND THEIR VERIFICATION BY FISH<br />
M. Malloy* (1), J. Del-Favero (2), D. Goossens (2), L.<br />
Heyrman (2), A. Laenerts (2), D. St Clair (3), D. Blackwood<br />
(4), W. Muir (4), B. Pickard (5)<br />
1. Molecular Medicine Centre, University <strong>of</strong> Edinburgh<br />
2. University <strong>of</strong> Antwerp 3. University <strong>of</strong> Aberdeen<br />
4. University <strong>of</strong> Edinburgh 5. University <strong>of</strong> Strathclyde<br />
*Pat.Malloy@ed.ac.uk<br />
Schizophrenia is a chronic and disabling mental illness that<br />
affects around 1% <strong>of</strong> the world’s population. Although a<br />
genetic basis for the disorder is not disputed, our<br />
understanding <strong>of</strong> the risk factors involved until recently has<br />
been very limited. We have shown that chromosomal<br />
abnormalities such as reciprocal balanced translocations, can<br />
act as direct positional pointers by disruption, to schizophrenia<br />
risk genes. DISC1, PDE4b (Miller K., Pickard B. et al.<br />
Science 310 (5751): 1187-1191, 2005) and NDEL1<br />
(unpublished) are either directly disrupted, or immediately<br />
proximate to chromosomal breakpoints. Our hypothesis is that<br />
such breakpoints lie near LCRs which should also predispose<br />
to microdeletions and microduplications that comprise CNV.<br />
We are using Multiplex Amplicon Quantification (MAQ,<br />
Sutrala et al Scz Res 96 (1-3): 93-9), firstly to detect CNVs<br />
found by Walsh et al (Science 320 (5875): 539-43, 2008) and<br />
Kirov et al (Hum Mol Gen 17 (3): 458-65) in large<br />
case-control cohorts <strong>of</strong> schizophrenia (n=1000), co-morbid<br />
Learning Disability and Schizophrenia (n=200), bipolar<br />
disorder (n=400) and major depressive disorder (n=400).<br />
Secondly we have analysed regions around DISC1 pathway<br />
genes in a site directed approach to quantify the allelic<br />
variation in the same patients. Sex-matched controls (normal<br />
and learning disabled alone) are available for comparator<br />
purposes. FISH is used at the BAC or Fosmid level on<br />
metaphase or interphase preparations, or where applicable<br />
additional information from our GWAS data, to confirm any<br />
variation
238 THE REGULATION OF SUSCEPTIBILITY GENES<br />
FOR SCHIZOPHRENIA<br />
F. Macciardi* (1), E. Osimo (2), S. Potkin (1), F. Torri (2), J.<br />
Fallon (1), J. Turner (1), G. Guffanti (1), M. Vawter (1), B.<br />
Lerer (3), S. Gaudi (4)<br />
1. UCI 2. UNIMI 3. Hadassah 4. ISS (Roma)<br />
*fmacciar@uci.edu<br />
The complexity <strong>of</strong> the genome has little to do with the number<br />
and heterogeneity <strong>of</strong> its genes: only 2% <strong>of</strong> the human genome<br />
codes for proteins, while 45% consists <strong>of</strong> Transposable<br />
Elements (TEs). The relative amount <strong>of</strong> TEs increases<br />
consistently with organism complexity, the TEs domains <strong>of</strong><br />
the regulatory genome drive genome evolution, alter gene<br />
expression and can substantially contribute to the etiology and<br />
characteristics <strong>of</strong> complex diseases. The regulation <strong>of</strong> TE<br />
expression has been already associated with complex diseases<br />
and cancer cells are characterized by high expression levels <strong>of</strong><br />
LINE-1, correlating cancer cell to the reactivation <strong>of</strong> retroviral<br />
transcripts (RT) expression. Moreover, complex human<br />
diseases cannot be explained by genetic factors alone and are<br />
likely to be the result <strong>of</strong> gene-environment interactions with<br />
the contribution <strong>of</strong> TEs. The detection <strong>of</strong> retroviral transcripts<br />
in the brains <strong>of</strong> schizophrenics suggests that activation or<br />
upregulation <strong>of</strong> distinct human endogenous retroviruses<br />
(HERVs) may play a role in the etiopathogenesis <strong>of</strong><br />
neuropsychiatric diseases. Our aim is to propose a novel<br />
mechanism for gene dysregulation in schizophrenia by<br />
investigating the functional relationship between TE and genes<br />
identified as "best" candidate from GWAS, validating them<br />
with exon-expression arrays and reconstructing their<br />
regulatory network with computational methods. We found<br />
preliminary evidence <strong>of</strong> alternative regulation <strong>of</strong><br />
tissue-specific gene expression in schizophrenic patients from<br />
genes that we identified as associated with schizophrenia from<br />
our GWAS. We present results for both tissue specific<br />
expression and alternative Transcription Starting Sites (TSS)<br />
in pivotal disease-related genes.<br />
239 GENE EXPRESSION PROFILES OF CULTURED<br />
NEURAL PROGENITOR CELLS DEMONSTRATE<br />
DIFFERENTIAL EXPRESSION OF<br />
DEVELOPMENTAL-RELATED GENES IN<br />
SCHIZOPHRENIA<br />
O. Evgrafov* (1), B. Wrobel (1), X. Kang (1), G. Simpson<br />
(1), D. Malaspina (2), J. Knowles (1)<br />
1. USC 2. NYU<br />
*evgrafov@keck.usc.edu<br />
We investigated the expression <strong>of</strong> poly-A RNA isolated from<br />
cultured neuronal cells derived from olfactory<br />
neuroepithelium (CNON) <strong>of</strong> 8 patients with schizophrenia<br />
(SZ) and 8 control individuals. Human neuroepithelium<br />
constantly produces olfactory neurons from neural stem cells<br />
and this process is simulated in CNON cultures, which are<br />
primarily composed <strong>of</strong> neuronal progenitors. The tight<br />
environmental control provided by cell culture provided a high<br />
signal-to-noise ratio and yielded a clear separation <strong>of</strong> SZ and<br />
control samples, in a principle component analysis. In<br />
contrast to neurons from adult brain, CNON cells express<br />
genes that are specific for development <strong>of</strong> neural system. We<br />
measured gene expression using Human Exon 1.0 ST Arrays<br />
(Affymetrix) followed by ANOVA analysis using Partek GS<br />
(Partek). We have also performed RNA-Seq using an<br />
Illumina Genome Analyzer II, on a portion <strong>of</strong> these samples.<br />
The top most differentially expressed genes were validated by<br />
qPCR. The three most differentially expressed genes were<br />
CDH6, VCAM1 and S1PR1 (EDG1). Another cadherin,<br />
CDH11, was also differentially expressed, when validated by<br />
qPCR. Three <strong>of</strong> these are cell adhesion molecules, and the<br />
fourth, S1PR1, directly regulates cadherin expression and is<br />
involved in regulation <strong>of</strong> VCAM1. Cell adhesion molecules<br />
are known to play an important role in brain development and<br />
the observation <strong>of</strong> lower levels <strong>of</strong> these molecules in the SZ<br />
group may point to a possible mechanism for the altered<br />
neurodevelopment observed in individuals with schizophrenia.
240 SIGNIFICANT LINKAGE AT CHROMOSOME<br />
2p15 TO A SCHIZOPHRENIA ENDOPHENOTYPE IN A<br />
NEPALESE POPULATION GENETIC ISOLATE<br />
S. Santangelo* (1), T. Sitnikova (1), M. Hall (2), P. Shrestha<br />
(3), D. Yu (4), J. Subedi (5), S. Ojha (6), S. Tamang (3), R.<br />
Chapagain (3), S. Kamar (3), J. VandeBerg (7), J. Blangero<br />
(7), S. Williams-Blangero (7)<br />
1. Harvard <strong>Medical</strong> School, Dept Psychiatry, Center for<br />
Human Genetic Research, Massachusetts General Hospital,<br />
Boston, MA, USA 2. Psychology Research Laboratory,<br />
McLean Hospital, Belmont, MA, USA 3. Nepal Biomedical<br />
Research Center, Kathmandu, Nepal 4. Center for Human<br />
Genetic Research, Massachusetts General Hospital, Boston,<br />
MA, USA 5. Miami University, Dept. Sociology,<br />
Gerontology, Oxford, OH, USA 6. Tribhuvan University<br />
Institute <strong>of</strong> Medicine, Dept. Psychiatry, Kathmandu, Nepal<br />
7. Southwest Foundation for Biomedical Research, San<br />
Antonio, TX, USA<br />
*ssantangelo@pngu.mgh.harvard.edu<br />
Electrophysiological traits indexing schizophrenia<br />
endophenotypes were measured in over 600 members <strong>of</strong> an<br />
extended pedigree in Jiri, Nepal. In an auditory "oddball"<br />
paradigm, we recorded peak amplitude and latency <strong>of</strong> the<br />
P300 evoked response as well as power <strong>of</strong> oscillatory brain<br />
activity in the gamma-band range (35-45Hz) induced between<br />
250-550 msec after odd tones onset. To examine<br />
anterior-posterior and hemispheric differences, the data were<br />
examined at Fz, Pz, P3 and P4 scalp locations and evaluated in<br />
a quantitative trait locus genome-wide linkage analysis.<br />
Heritabilities for both P300 amplitude and induced gamma at<br />
Pz, P3, and P4, and for P300 latency at P4 were significant.<br />
For this Nepalese pedigree and marker set, evidence <strong>of</strong><br />
suggestive linkage is obtained for LOD scores ≥ 1.65, and<br />
significant linkage for LODs ≥ 2.83. Peak LODs for the ERPs<br />
were 2.93 at chromosome 2 (87 cM) for Pz amplitude, 2.07 at<br />
chromosome 13 (76 cM) for Fz latency, and 2.32 at<br />
chromosome 17 (61 cM) for P4 latency. QTL linkage results<br />
for gamma response centered on chromosome 2p13 (98 cM)<br />
with peak LOD scores <strong>of</strong> 1.31 for Pz, 1.42 for P3, and 1.84 for<br />
P4. Thus, we obtained significant linkage for P300 amplitude<br />
at 2p15 and suggestive linkage for induced gamma-band<br />
response in the P300 time-window at 2p13; these loci are only<br />
10 MB apart. Genes in this region include sepiapterin<br />
reductase, an enzyme that catalyzes the final step in the<br />
synthesis <strong>of</strong> tetrahydrobiopterin (BH4), an essential c<strong>of</strong>actor<br />
for synthesis <strong>of</strong> many neurotransmitters, including serotonin.<br />
242 COMT GENOTYPE, COGNITION, AND<br />
FUNCTIONAL CAPACITY IN SCHIZOPHRENIA<br />
E. Twamley* (1), C. Burton (1), V. Lea (1), G. Savla (1), J.<br />
Guidry (1), M. Abeles (1), A. Minassian (1), R. Bilder (2), J.<br />
Kelsoe (1)<br />
1. University <strong>of</strong> California, San Diego 2. University <strong>of</strong><br />
California, Los Angeles<br />
*etwamley@ucsd.edu<br />
The Val158Met single nucleotide polymorphism <strong>of</strong> the<br />
catechol-O-methyltransferase (COMT) gene on chromosome<br />
22 influences dopamine catabolism and is related to cognitive<br />
impairment in schizophrenia. Previous research has found that<br />
the Met allele is associated in a dose-response fashion with<br />
better performance on most neuropsychological tests. We<br />
assessed 116 outpatients with schizophrenia-spectrum<br />
disorders (62% men; 68% Caucasian; mean age=48; mean<br />
years <strong>of</strong> education=13) with a blood draw and a<br />
comprehensive neuropsychological, functional, and clinical<br />
battery. Participants with the Val/Val (n=38), Val/Met (n=53),<br />
and Met/Met (n=25) genotypes did not differ on demographic<br />
variables, diagnosis, type or dosage <strong>of</strong> antipsychotic<br />
medication, or duration <strong>of</strong> psychosis. Spearman correlations<br />
between the “dose” <strong>of</strong> the Met allele (0, 1, or 2 Met alleles)<br />
and the neuropsychological, functional, and clinical variables<br />
demonstrated that a higher number <strong>of</strong> Met alleles was<br />
associated with better estimated premorbid intellectual<br />
functioning (r=.21, p=.028). Correlations between the number<br />
<strong>of</strong> Met alleles and performance on the <strong>UCSD</strong> Performance<br />
Based Skills Assessment (Household Chores and Recreation<br />
Planning subtests) were >.15, but did not reach statistical<br />
significance. Met homozygotes significantly outperformed Val<br />
homozygotes on the UPSA Household Chores subtest (t=2.0,<br />
df=59, p=.049). The Met allele appears to be associated with<br />
better performance in selected neuropsychological domains<br />
and functional capacity tasks. Because the Val158Met<br />
polymorphism typically explains a small amount <strong>of</strong> variance<br />
in cognitive performance and given the size <strong>of</strong> the current<br />
sample, these results need to be replicated with a larger sample<br />
and other variants should be considered to further understand<br />
genetic contributions to cognition.
243 CONSANGUINITY AND INCREASED RISK FOR<br />
SCHIZOPHRENIA IN EGYPT<br />
H. Mansour* (1, 2), W. Fathi (2), L. Klei (1), J. Wood (1), K.<br />
Chowdari (1), A. Watson (1), A. Eissa (2), A. Yassin (2), H.<br />
Salah (2), S. Tobar (2), H. El-Boraie (2), H. Gaafar (2), M.<br />
Elassy (2), I. Ibrahim (2), N. Ibrahim (1), K. Kandil (1), W.<br />
El-Bahaei (2), M. Alatrouny (2), F. El-Chennawi (3), B.<br />
Devlin (4), V. Nimgaonkar (1, 5)<br />
1. Department <strong>of</strong> Psychiatry, University <strong>of</strong> Pittsburgh School<br />
<strong>of</strong> Medicine, Western Psychiatric Institute and Clinic,<br />
Pittsburgh, Pennsylvania 2. Department <strong>of</strong> Psychiatry,<br />
Mansoura University School <strong>of</strong> Medicine, Mansoura, Egypt<br />
3. Department <strong>of</strong> Clinical Pathology, Mansoura University<br />
School <strong>of</strong> Medicine, Mansoura, Egypt 4. Department <strong>of</strong><br />
Human Genetics, Graduate School <strong>of</strong> Public Health,<br />
University <strong>of</strong> Pittsburgh, Pittsburgh, Pennsylvania<br />
5. Department <strong>of</strong> Human Genetics, Graduate School <strong>of</strong> Public<br />
Health, University <strong>of</strong> Pittsburgh, Pittsburgh, Pennsylvania<br />
*mansourha@upmc.edu<br />
Background: Consanguinity has been suggested as a risk<br />
factor for psychsoses in some Middle Eastern countries, but<br />
adequate control data are unavailable. Our recent studies in<br />
Egypt have shown elevated parental consanguinity rates<br />
among patients with bipolar I disorder (BP1), compared with<br />
controls. We have now extended our anlayses to<br />
Schizophrenia (SZ) in the same population. Methods: A<br />
case-control study was conducted at Mansoura University<br />
Hospital, Mansoura, Egypt (SZ, n = 75; controls, n = 126, and<br />
their available parents). The prevalence <strong>of</strong> consanguinity was<br />
estimated from family history data (‘self report’), followed by<br />
DNA analysis using short tandem repeat polymorphisms<br />
(STRPs, n = 64) (‘DNA-based’ rates). Results: Self reported<br />
consanguinity was significantly elevated among the patients<br />
(SZ: 45%, controls: 18%, OR 3.7, 95% CI 1.95, 7.05; p =<br />
0.0001, 1 d.f.). These differences were confirmed using DNA<br />
based estimates for coefficients <strong>of</strong> inbreeding (inbreeding<br />
coefficients, mean ± standard error, cases: 0.058 ± 0.007,<br />
controls: 0.022 ± 0.003, test statistic = -6.76, p = 6.6 e-12).<br />
Conclusion: Consanguinity rates are significantly elevated<br />
among Egyptian SZ patients in the Nile delta region. The<br />
associations are similar to those observed with BP1 in our<br />
earlier study. If replicated, the substantial risk associated with<br />
consanguinity raises public health concerns.<br />
244 ADMIXTURE ANALYSIS OF AGE AT ONSET IN<br />
SCHIZOPHRENIA: GENETIC ASSOCIATION STUDY<br />
OF 384 MARKERS ACROSS THE GENOME<br />
V. De Luca* (1), F. Panariello (1), C. Zai (1)<br />
1. University <strong>of</strong> Toronto<br />
*vincenzo_deluca@camh.net<br />
Despite the considerable amount <strong>of</strong> data from several studies,<br />
none <strong>of</strong> the thresholds used to define age at onset (AAO) in<br />
schizophrenia have been validated. The aim <strong>of</strong> this study is to<br />
assess the presence <strong>of</strong> different homogenous subgroups in<br />
schizophrenia patients based on the age at onset, by<br />
determining the cut-<strong>of</strong>f age <strong>of</strong> each subgroup. Admixture<br />
analysis was applied to identify model(s) <strong>of</strong> separate normal<br />
distributions <strong>of</strong> AAO characterized by different means,<br />
variances and population proportions. This helped us in<br />
identifying different subgroups in our sample <strong>of</strong> 466 patients<br />
with schizophrenia. We apply now a candidate gene<br />
association strategy aimed to detect genetic susceptibility for<br />
early onset in patients’ schizophrenia by using a custom<br />
Illumina Bread Chips comprising 384 SNPs selected among<br />
candidate genes implicated in the neurobiology <strong>of</strong><br />
schizophrenia. We analyzed 154 schizophrenic patients from<br />
White European ancestry recruited in Toronto at the Centre for<br />
Addiction and Mental Health. Thirty-four patients who had a<br />
psychotic onset when they were younger than 20 (optimal<br />
cut-<strong>of</strong>f from admixture analysis) were considered early onset<br />
schizophrenics. By using a GWA-like approach, we screened<br />
all 384 markers for the nominal significance level and then<br />
corrected for multiple test. The most significant SNP was the<br />
rs460401 (p=0.0003) however after the False Discovery Rate<br />
correction the p-value was not significant (p=0.113). Our<br />
analysis <strong>of</strong> 384 markets across candidate genes revealed that<br />
the SNP rs460401 located in the Ionotropic Kainate 1<br />
Glutamate receptor (GRIK1) is associated with early onset in<br />
schizophrenia. This preliminary result pointed out the<br />
importance <strong>of</strong> the kainate receptors in determining the onset <strong>of</strong><br />
schizophrenia therefore further work on these genes regarding<br />
this phenotype is required.
245 GENOME-WIDE ASSOCIATION STUDY OF<br />
MULTIPLEX SCHIZOPHRENIA PEDIGREES<br />
SUPPORTS A ROLE FOR CONTACTIN PROTEINS<br />
D. Levinson* (1), J. Shi (1), B. Riley (2), A. Pulver (3), M.<br />
Owen (4), D. Wildenauer (5), P. Gejman (6), B. Mowry (7), C.<br />
Laurent (8), S. Oh (1), K. Kendler (2), G. Nestadt (3), N.<br />
Williams (4), S. Schwab (5), A. Sanders (6), D. Nertney (7), J.<br />
Mallet (9), B. Wormley (2), V. Lasseter (3), M. O'Donovan<br />
(4), J. Duan (6), M. Albus (10), M. Alexander (1), D. Cohen<br />
(8), R. Ribble (2), K. Liang (11), N. Norton (4), W. Maier<br />
(12), G. Papadimitriou (13), D. Walsh (14), M. Jay (8), A.<br />
O'Neill (15), F. Lerer (16), D. Dikeos (13), M. Fallin (3), J.<br />
Silverman (17), M. Hansen (18), F. Dudbridge (19), P.<br />
Holmans (4)<br />
1. Stanford University, Stanford, CA 2. Virginia<br />
Commonwealth University, Richmond VA, USA 3. Johns<br />
Hopkins University, Baltimore, MD, USA 4. Cardiff<br />
University, Cardiff, UK 5. University <strong>of</strong> Western Australia,<br />
Perth 6. NorthShore University Healthcare Research Inst,<br />
Evanston,IL 7. University <strong>of</strong> Queensland, Brisbane, Australia<br />
8. Pierre et Marie Curie Faculty <strong>of</strong> Medicine, Paris 9. CNRS,<br />
Hôpital de la Pitié Salpêtrière, Paris 10. State Mental Hospital,<br />
Haar, Germany 11. Johns Hopkins University Bloomberg<br />
School <strong>of</strong> Public Health, Baltimore MD 12. University <strong>of</strong><br />
Bonn, Bonn, Germany 13. University <strong>of</strong> Athens <strong>Medical</strong><br />
School, Athens, Greece 14. The Health Research Board,<br />
Dublin, Ireland 15. Queens University, Belfast, Northern<br />
Ireland 16. Hadassah-Hebrew University <strong>Medical</strong> Center,<br />
Jerusalem, Israel 17. Mt. Sinai School <strong>of</strong> Medicine, New<br />
York, NY, USA. 18. Illumina, Inc. La Jolla, CA 19.<br />
Biostatistics Unit, Cambridge, UK<br />
*dflev@stanford.edu<br />
We carried out a genome-wide association study (GWAS) <strong>of</strong><br />
DSM-IIIR schizophrenia and schizoaffective disorder in<br />
multiply-affected families. Families ascertained by seven<br />
previous linkage studies (and not included previously in<br />
GWAS) were selected if they had constellations <strong>of</strong> genotyped<br />
individuals informative for family-based association analysis<br />
(≥1 affected cases with 1-2 parents and/or unaffected siblings;<br />
or ≥3 affected cases). Genotyping was carried with the<br />
Illumina 610-quad array. QC analyses excluded<br />
poorly-performing DNA samples and SNPs, confirmed family<br />
relationships and sex, and established ancestries. Following<br />
QC, there were 583 European-ancestry families with 2212<br />
genotyped individuals (1218 affected), and 50 families with<br />
other ancestries (primarily large pedigrees with known<br />
admixture, analyzed in separate subsets) with 253 genotyped<br />
individuals (139 affected). Single-SNP association analyses<br />
were carried out with TRANSMIT (autosomal SNPs) and<br />
UNPHASED (X chromosome SNPs), after preliminary testing<br />
to ensure comparability <strong>of</strong> the methods and correct Type I<br />
error rates. No genome-wide significant results (P < 5 x 10-8)<br />
were observed in analyses <strong>of</strong> European-ancestry or all<br />
families. Among genes containing one or more SNPs with<br />
P-values < 10-4, five encode cell adhesion molecules<br />
(CNTNAP5, AMIGO3, CADM2, CLEC4D, CLEC4E), and<br />
P-values < 10-3 were observed for clusters <strong>of</strong> SNPs in<br />
CNTNAP2 and CNTN5. Genes in the related CNTNAP and<br />
CNTN families (and the larger neurexin family) have been<br />
proposed as implicated in both autism and schizophrenia<br />
based on several lines <strong>of</strong> evidence, including cases with<br />
structural variants (for review see Burbach and van der<br />
Zwaag, Trends Neurosci, 2009;32:69-72). Larger samples and<br />
additional lines <strong>of</strong> evidence will be required to determine the<br />
significance <strong>of</strong> these findings.<br />
246 RUNS OF HOMOZYGOSITY NOT ASSOCIATED<br />
WITH INCREASED RISK OF SCHIZOPHRENIA<br />
M. Simonson* (1), M. McQueen (1), M. Keller (1)<br />
1. Institue for Behavioral Genetics; University <strong>of</strong> Colorado at<br />
Boulder<br />
*masimonson@gmail.com<br />
Previous research suggests that runs <strong>of</strong> homozygosity are a<br />
risk factor for schizophrenia (Lencz et al, 2007). We used<br />
700000 SNP markers on 2357 schizophreniacases and 2709<br />
controls to find runs <strong>of</strong> homozygosity. We assessed rare<br />
versus common runs as well as runs that did or did not overlap<br />
genes. Analyses showed no case-control differences in the<br />
percent <strong>of</strong> the genome in runs <strong>of</strong> homozygosity. Our analyses<br />
suggest that runs <strong>of</strong> homozygosity are not associated with<br />
increased risk <strong>of</strong> schizophrenia.<br />
247 FUNCTIONAL ANALYSIS OF GENETIC<br />
VARIATION AT THE DTNBP1 LOCUS.<br />
L. Carroll (1), A. Gerrish (1), L. Elliston (1), G. Kirov (1), M.<br />
Owen (1), M. O'Donovan (1), N. Williams* (1)<br />
1. Cardiff University<br />
*williamsnm@cf.ac.uk<br />
A large volume <strong>of</strong> genetic association data from multiple<br />
populations now supports the locus encoding Dysbindin<br />
(DTNBP1) as a schizophrenia susceptibility gene. The source<br />
<strong>of</strong> the genetic association at Dysbindin is equivocal, however<br />
studies to date show altered protein and mRNA levels in<br />
schizophrenic CNS. Furthermore, there is evidence to suggest<br />
that cis acting variation alters Dysbindin mRNA levels in<br />
post-mortem neural tissue and is correlated with a replicated<br />
schizophrenia “at-risk” haplotype. To identify the functional<br />
variation causing the association at DTNBP1 we have<br />
performed resequencing and high-density association mapping<br />
in large case-control and familial schizophrenia samples from<br />
Europe. Associated variants have been analysed to see<br />
whether they account for the changes in mRNA levels<br />
observed in post-mortem brain by performing allele specific<br />
expression studies in extended samples <strong>of</strong> those previously<br />
reported.
248 MITOCHONDRIAL DNA AND SCHIZOPHRENIA<br />
B. Verge (1), Y. Alonso (1), C. Miralles (1), J. Valero (1), S.<br />
Setó (1), A. Labad (1), E. Vilella (1), L. Martorell (1)<br />
1. HPUIPM, IISPV, URV<br />
One <strong>of</strong> the hypotheses about the genetic factors involved in<br />
schizophrenia points out the mitochondrial DNA (mtDNA), a<br />
16569 bp molecule which is inherited only from the mother<br />
(about 100.000 copies) and involved in maternally inherited<br />
mitochondrial disorders. If this hypothesis is true, one would<br />
expect a higher frequency <strong>of</strong> schizophrenia in relatives that<br />
share the mtDNA with a schizophrenic patient than in relatives<br />
that do not share. We have interviewed 100 schizophrenia<br />
patients according to DSM-IV criteria and 147 relatives to<br />
collect clinical data from both sides <strong>of</strong> the patient’s pedigree.<br />
Thirty one schizophrenia patients present at least one first-<br />
and/or one second-degree relative affected by schizophrenia,<br />
meanwhile the remaining 69 were sporadic cases. Apparent<br />
matrilineal inheritance was present in 22 <strong>of</strong> the 31 familial<br />
cases (71%). According to the 31 familial cases, information<br />
about mental health was achieved from 588 relatives through<br />
direct interview to one or two first degree relatives. Four<br />
groups were established to compare the presence <strong>of</strong><br />
schizophrenia in relatives depending on they share or not the<br />
mtDNA with a schizophrenia patient. Relatives that share the<br />
mtDNA with a schizophrenic patient have a higher risk <strong>of</strong><br />
developing the illness than those that do not share, OR=4.82<br />
(CI 2.04-13.11, p=0.00005). Evidence is accumulating that<br />
mitochondrial dysfunction is involved in the pathophysiology<br />
<strong>of</strong> schizophrenia and large studies are necessary to corroborate<br />
the involvement <strong>of</strong> mtDNA in the development <strong>of</strong> the illness.<br />
249 INITIAL LINKAGE ANALYSES OF SIX<br />
ENDOPHENOTYPES FOR SCHIZOPHRENIA FROM<br />
THE CONSORTIUM ON THE GENETICS OF<br />
SCHIZOPHRENIA (COGS)<br />
T. Greenwood* (1), K. Cadenhead (1), M. Calkins (2), D.<br />
Dobie (3), R. Freedman (4), M. Green (5), R. Gur (2), L.<br />
Lazzeroni (6), G. Light (1), K. Nuechterlein (5), A. Olincy (4),<br />
A. Radant (3), L. Seidman (7), L. Siever (8), J. Silverman (8),<br />
W. Stone (7), N. Swerdlow (1), D. Tsuang (3), M. Tsuang (1),<br />
B. Turetsky (2), N. Schork (9), D. Braff (1)<br />
1. Department <strong>of</strong> Psychiatry, University <strong>of</strong> California San<br />
Diego, La Jolla, CA 2. Department <strong>of</strong> Psychiatry, University<br />
<strong>of</strong> Pennsylvania, Philadelphia, PA<br />
3. Department <strong>of</strong> Psychiatry and Behavioral Sciences,<br />
University <strong>of</strong> Washington, and the VA Puget Sound Health<br />
Care System, Seattle, WA 4. Department <strong>of</strong> Psychiatry,<br />
University <strong>of</strong> Colorado Health Sciences Center, Denver, CO<br />
5. Department <strong>of</strong> Psychiatry and Biobehavioral Sciences,<br />
Geffen School <strong>of</strong> Medicine at University <strong>of</strong> California Los<br />
Angeles, Los Angeles, CA 6. Department <strong>of</strong> Psychiatry and<br />
Behavioral Science, Stanford University, Stanford, CA<br />
7. Department <strong>of</strong> Psychiatry, Harvard <strong>Medical</strong> School,<br />
Massachusetts Mental Health Center Public Psychiatry<br />
Division <strong>of</strong> the Beth Israel Deaconess <strong>Medical</strong> Center and the<br />
Harvard Institute <strong>of</strong> Psychiatric Epidemiology and Genetics,<br />
Boston, MA 8. Department <strong>of</strong> Psychiatry, The Mount Sinai<br />
School <strong>of</strong> Medicine, and the James J. Peters VA <strong>Medical</strong><br />
Center, New York, NY 9. Scripps Genomic Medicine, La<br />
Jolla, CA<br />
*tgreenwood@ucsd.edu<br />
As part <strong>of</strong> the COGS, we have recently completed genotyping<br />
and preliminary analyses <strong>of</strong> a genome-wide SNP linkage scan<br />
for 211 families <strong>of</strong> schizophrenia probands comprising the<br />
first phase <strong>of</strong> our data release. Genotyping was performed<br />
using the Illumina Linkage Panel 12 containing 6,090 SNP<br />
markers across the genome. We used Merlin to conduct<br />
linkage analyses <strong>of</strong> the 6,001 SNPs that were successfully<br />
assayed, accounting for linkage disequilibrium between<br />
markers and accommodating the appropriate covariates (age<br />
and sex) for each endophenotype. We have currently<br />
completed these analyses for each <strong>of</strong> our six primary<br />
neurophysiologicaland neurocognitive endophenotypes:<br />
Prepulse inhibition (PPI), P50 suppression, the antisaccade<br />
task, the Continuous Performance Test<br />
(Degraded-Stimulusversion, DS-CPT), the Letter-Number<br />
Span (LNS), and the California VerbalLearning Task (CVLT).<br />
Analyses <strong>of</strong> endophenotypes from the Pennsylvania<br />
Computerized Neuropsychological Battery and several<br />
secondary endophenotypes are currently in progress. Thus far<br />
these analyses have collectively identified regions <strong>of</strong> linkage<br />
with LOD scores>3.0 on chromosomes 5p (PPI) and 10q<br />
(DS-CPT), <strong>of</strong> which the chromosome 10qlinkage meets<br />
genome-wide criteria for ‘significant’ linkage. We also<br />
observed ‘suggestive’ evidence for linkage (LOD>2.2) on<br />
chromosomes 1q (antisaccade), 3p (DS-CPT), and 14q(LNS).
These findings are encouraging and suggest that we will<br />
ultimately be successful in identifying genes contributing to<br />
the expression <strong>of</strong> these endophenotypes. However, we note<br />
that these analyses are preliminary, as this sample will be<br />
supplemented with our remaining 94 families currently being<br />
prepared for submission for genotyping, after which the final<br />
linkage analyses will be performed.<br />
250 SEARCHING THE CORRELATED MARKERS OF<br />
NRG1 IN POSTMORTEM BRAIN.<br />
M. Lee* (1), S. Yim (1)<br />
1. Seoul National Hospital<br />
*migyunglee37@gmail.com<br />
Neuregulin1- ErbB4 signal has a critical role in understanding<br />
<strong>of</strong> the schizophrenia pathophysiology. NRG1 expression<br />
abnormalities have been observed in patients and mice. So, we<br />
search the NRG1 expression by using the Stanley<br />
Neuropathology Consortium Integrative Database (SNCID)<br />
which is a web-based method to integrate the Stanley <strong>Medical</strong><br />
research Institute data sets. We found that cytoplasmic protein<br />
level <strong>of</strong> 53KD NRG1 intracelluar cleavage domain (ICD) is<br />
significantly increased in cytoplasmic fractions <strong>of</strong><br />
schizophrenia (n=15) compared with normal control(n=15,<br />
p≤0.001), depression(n=15, p≤0.01) and bipolar affective<br />
disorder(n=15, p≤0.01). Spearman’s test exhibited that 53 KD<br />
NRG1 level is significant correlated with glutamic acid<br />
decarboxylase( GAD)(p=0.007) at orbit<strong>of</strong>rontal cortex/III,<br />
NMDA receptor subunit zeta(p=0.009) at frontal lobe and total<br />
cathechol –o-methyltransferase (COMT) (p=0.007) at<br />
Brodmann area 46. It is well known about relation between<br />
NRG1 and glutamate system in schizophrenia, but not in<br />
NRG1 and COMT. COMT is a risk factor for psychosis and<br />
metastatic cancer. Sei et al reported the evidence <strong>of</strong> epistatic<br />
interaction between COMT gene and NRG1 gene at<br />
schizophrenia derived B lymphocytes. Although it was not<br />
elucidated about COMT gene and NRG1 gene interaction in<br />
these results, it addressed the novel possibility <strong>of</strong> epistatic<br />
interaction evidence in postmortem brain.<br />
251 QKI-7 REGULATES EXPRESSION OF<br />
INTERFERON-RELATED GENES IN HUMAN<br />
ASTROCYTES<br />
L. Jiang (1), E. Lindholm Carlstrom* (1), P. Saetre (2), E.<br />
Jazin (1)<br />
1. Uppsala University 2. Karolinska Institute<br />
*eva.lindholm@ebc.uu.se<br />
The gene the quaking homolog, KH domain RNA binding<br />
(mouse) (QKI), is a candidate gene for schizophrenia encoding<br />
an RNA-binding protein and was recently shown to be<br />
essential for myelination in oligodendrocytes. QKI is also<br />
expressed in astrocytes, but its function in these cells is not<br />
known. We studied the effect <strong>of</strong> small interference RNA<br />
(siRNA)-mediated QKI depletion on global gene expression in<br />
human astrocyte glioma cells. The most significant alteration<br />
after QKI silencing was the decreased expression <strong>of</strong> genes<br />
involved in interferon (IFN) induction (P = 6.3×10-10). These<br />
genes were down-regulated after silencing <strong>of</strong> the splice variant<br />
QKI-7, but were not affected by QKI-5 silencing.<br />
Interestingly, four <strong>of</strong> them were up-regulated after treatment<br />
with the antipsychotic haloperidol that also resulted in<br />
increased QKI-7 mRNA levels. Our results suggest a novel<br />
role for QKI-7 as a regulator <strong>of</strong> IFN production in astrocytes.
252 ALLELIC VARIATION IN THE MICRORNA<br />
GENE, HSA-MIR-943, AFFECTS THE RISK OF<br />
SCHIZOPHRENIA<br />
M. Barenboim* (1), R. Straub (1), R. Vakkalanka (1), D.<br />
Weinberger (1)<br />
1. Clinical Brain Disorders Branch, Genes, Cognition, and<br />
Psychosis Program, National Institute <strong>of</strong> Mental Health, NIH<br />
*barenboimm@mail.nih.gov<br />
MicroRNAs (miRNAs) are short (~22 nt) regulatory,<br />
non-coding RNAs. Primary miRNA transcripts form<br />
characteristic stem-loop structures. In the nucleus, pri-miRNA<br />
is first processed into pre-miRNA (~100 nt) by Drosha and<br />
after exported in the cytoplasm, into mature miRNA by Dicer.<br />
miRNA integrated into the RISC complex, binds to the<br />
3’UTR <strong>of</strong> a target mRNA and represses gene expression on<br />
the post-transcriptional level. Disease-associated SNPs are<br />
known to modulate gene expression. Hence, the study <strong>of</strong> SNPs<br />
located either in a miRNA gene or in the miRNA target site is<br />
<strong>of</strong> importance. We have identified 12 HapMap CEU SNPs<br />
located in miRNA genes. 7 SNPs were tested with the<br />
s<strong>of</strong>tware suite, Unphased, for association with schizophrenia<br />
using family-based data from the GCAP/NIMH Sibling Study.<br />
One <strong>of</strong> these SNPs (rs1077020), which was located in the<br />
stem-loop structure <strong>of</strong> hsa-miR-943, was nominally associated<br />
with schizophrenia (p = 0.03). A subsequent<br />
semi-independent case-control test <strong>of</strong> rs1077020 corroborated<br />
the association <strong>of</strong> this SNP with schizophrenia (p = 0.0005).<br />
hsa-miR-943 is located in the junction <strong>of</strong> an intron and ORF <strong>of</strong><br />
the WHSC2 gene and also in the 5’UTR <strong>of</strong> one is<strong>of</strong>orm. The<br />
test for association with schizophrenia <strong>of</strong> 13 HapMap SNPs in<br />
WHSC2 was negative. RNA secondary structure analysis<br />
shows that allele ‘G’ reduced the stability <strong>of</strong> the stem-loop<br />
structure. This could lead to a reduction in the yield <strong>of</strong> mature<br />
hsa-miR-943 and weaken the regulation and control <strong>of</strong> the<br />
target gene. The predicted list <strong>of</strong> genes targeted by<br />
hsa-miR-943 includes prominent candidate schizophrenia<br />
genes such as DISC1, BDNF, STX18, SLC1A3.<br />
253 THE SCHIZOPHRENIA SUSCEPTIBILITY GENE<br />
ZNF804A CONTAINS POLYMORPHISM<br />
INFLUENCING ITS EXPRESSION IN BRAIN<br />
M. Hill* (1), F. Buonocore (1), N. Bray (1)<br />
1. Centre for the Cellular Basis <strong>of</strong> Behaviour, Department <strong>of</strong><br />
Neuroscience, The James Black Centre, Institute <strong>of</strong><br />
Psychiatry, Kings College London, 125 Coldharbour Lane,<br />
London, SE5 9NU, UK<br />
*matthew.hill@kcl.ac.uk<br />
Genome-wide association studies have identified ZNF804A as<br />
a susceptibility locus for schizophrenia. Although ZNF804A is<br />
known to contain several non-synonymous variants, these do<br />
not appear to fully account for the observed association signal.<br />
Indeed, the most strongly associated polymorphism is located<br />
in a non-coding region <strong>of</strong> the gene, suggesting that the<br />
susceptibility is mediated, at least in part, by effects on<br />
ZNF804A expression. We screened 10 human brain regions<br />
for the presence <strong>of</strong> cis-acting effects on ZNF804A expression<br />
using highly quantitative measures <strong>of</strong> relative allelic<br />
expression. We found statistically significant departures from<br />
the expected 1:1 allelic ratio <strong>of</strong> ZNF804A expression in<br />
several individuals, indicating the presence <strong>of</strong> cis-regulatory<br />
polymorphism. Furthermore, within individuals, these<br />
cis-regulatory effects were limited to specific brain regions.<br />
Investigation <strong>of</strong> the relationship between<br />
schizophrenia-associated variants and observed distortions in<br />
allelic expression will enable assessment <strong>of</strong> the role <strong>of</strong><br />
ZNF804A expression in schizophrenia susceptibility and the<br />
brain regions that are likely to be primarily involved.
254 EVALUATION OF GENETIC ASSOCIATION<br />
BETWEEN SCHIZOPHRENIA AND RHEUMATOID<br />
ARTHRITIS<br />
J. Park* (1), H. Lee (2), H. Kim (3), S. Kang (3), S. Kim (3),<br />
A. Cho (1), J. Kim (4), J. Chung (3)<br />
1. Department <strong>of</strong> Psychiatry, Kyung Hee University East-West<br />
Neo <strong>Medical</strong> Center, Seoul, Korea 2. Department <strong>of</strong><br />
Pharmacology, College <strong>of</strong> Medicine, Kangwon National<br />
University, Chuncheon, Korea 3. Kohwang <strong>Medical</strong> Research<br />
Institute, School <strong>of</strong> Medicine, Kyung Hee University, Seoul,<br />
Korea 4. Department <strong>of</strong> Neuropsychiatry, School <strong>of</strong> Medicine,<br />
Kyung Hee University, Seoul, Korea<br />
*parkdawit@naver.com<br />
Introduction: Schizophrenia and rheumatoid arthritis (RA) are<br />
both chronic diseases with a strong genetic component. The<br />
association between schizophrenia and RA was confirmed in<br />
many studies, providing clues as to the common genetic<br />
etiology. To find common genetic factors between two<br />
diseases, a genome-wide association study was performed.<br />
Methods: 100,000 single nucleotide polymorphisms (SNPs)<br />
were evaluated by Illumina Infinium® DNA Analysis<br />
BeadChips in 24 patients with schizophrenia, 24 patients with<br />
RA, and 34 controls <strong>of</strong> Korean population.<br />
Results: Two SNPs (one from EPM2AIP1 gene on<br />
chromosome 3; the other from KLHL1 gene on chromosome<br />
13) were found to be associated with SPR and RA<br />
simultaneously. There were no significant differences in the<br />
genotype and allele frequencies <strong>of</strong> the two SNPs between the<br />
two diseases. Discussion: These results suggest the possibility<br />
that schizophrenia and RA have a common etiologic factor in<br />
the genetic level, and the genetic factor may explain the<br />
association between the two diseases.<br />
291 MICRODUPLICATIONS OF 16P11.2 ARE<br />
ASSOCIATED WITH SCHIZOPHRENIA<br />
S. McCarthy (1), G. Kirov (2), A. Addington (3), J.<br />
McClellan (4), M. Kusenda (1), O. Krastoshevsky (5), R.<br />
Kumar (6), T. Crow (7), S. Christian (6), J. Lieberman (8), F.<br />
McMahon (3), A. Malhotra (9), J. Potash (10), T. Schulze (3),<br />
E. Leibenluft (3), J. Sutcliffe (11), D. Skuse (12), M. Gill (13),<br />
N. Mendell (14), N. Craddock (2), M. Owen (2), M.<br />
O’Donovan (2), T. Shaikh (15), E. Susser (16), L. DeLisi (17),<br />
P. Sullivan (18), C. Deutsch (19), J. Rapoport (3), D. Levy (5),<br />
M. King (4)<br />
1. Cold Spring Harbor Laboratory 2. Cardiff University 3.<br />
National Institute for Mental Health 4. University <strong>of</strong><br />
Washington 5. McLean Hospital 6. University <strong>of</strong> Chicago 7.<br />
The Prince <strong>of</strong> Wales International Center for SANE Research<br />
8. Columbia University 9. The Zucker Hillside Hospital 10.<br />
Johns Hopkins School <strong>of</strong> Medicine 11. Vanderbilt University<br />
12. University College London 13. Trinity College Dublin 14.<br />
State University <strong>of</strong> New York 15. The Children's Hospital <strong>of</strong><br />
Philadelphia 16. Columbia University 17. Harvard <strong>Medical</strong><br />
School 18. University <strong>of</strong> North Carolina 19. University <strong>of</strong><br />
Massachusetts <strong>Medical</strong> School<br />
An increase in the burden <strong>of</strong> rare copy number variants<br />
(rCNVs) and the association <strong>of</strong> recurrent rCNVs at 1q21,<br />
15q11, 15q13 and 22q11 in schizophrenia implicate rCNVs in<br />
the etiology <strong>of</strong> the disorder.We present the association <strong>of</strong> rare<br />
16p11.2 microduplications with schizophrenia in a cohort <strong>of</strong><br />
1921 cases and 4062 controls (P=1.4x10-5, OR=25.4). This<br />
association was replicated using an independent sample <strong>of</strong><br />
2645 cases and 2420 controls (P=0.022, OR=8.3) from GAIN<br />
(phs000021.v2.p1). In a meta-analysis <strong>of</strong> psychiatric disorders,<br />
the 16p11.2 microduplication was consistently observed at a<br />
significantly greater frequency in schizophrenia and autism<br />
than in corresponding controls, 0.3% vs. 0.03% (P=5x10-7)<br />
and 0.46% vs. 0.02% (P=1.9x10-7) respectively. The<br />
microduplication was observed at a higher frequency in<br />
bipolar disorder (0.1% vs 0.03%, P=0.055). In contrast, the<br />
reciprocal 16p11.2 microdeletion increased the risk <strong>of</strong> autism<br />
specifically (0.78% vs. 0.02% OR=38.7, P=2.3x10-13).<br />
Analysis <strong>of</strong> quantitative patient clinical data showed that<br />
standardized head circumference based on the CDC growth<br />
charts was significantly larger in microdeletion carriers and<br />
moderately smaller in microduplication carriers (1.25 vs.<br />
-0.28, P=0.0007). Our findings add 16p11.2 to the growing list<br />
<strong>of</strong> hotspots that considerably increase the risk <strong>of</strong><br />
schizophrenia. The spectrum <strong>of</strong> diseases associated with<br />
16p11.2 is consistent with phenotypic heterogeneity at other<br />
schizophrenia risk loci and suggests that common<br />
neurobiological pathways maybe shared between phenotypes<br />
associated with 16p11.2 rearrangements. Finally the<br />
association <strong>of</strong> 16p11.2 rearrangements with head<br />
circumference point to a potential genetic basis for early brain<br />
overgrowth in autism and observations <strong>of</strong> smaller brain<br />
volume in schizophrenia.
STATISTICS AND BIOINFORMATICS<br />
255 ESTIMATING THE ACCURACY AND<br />
CONCORDANCE OF CURRENT METHODS FOR THE<br />
DETECTION OF COPY NUMBER POLYMORPHISMS<br />
IN WHOLE GENOME ASSOCIATION STUDIES<br />
C. Vogler* (1), L. Gschwind (2), B. Röthlisberger (3), A.<br />
Huber (3), J. Sigmund (2), D. de Quervain (6), A.<br />
Papassotiropoulos (2)<br />
1. Division <strong>of</strong> Molecular Psychology, University <strong>of</strong> Basel,<br />
Basel, Switzerland. Life Science Training Facility, Biocentre,<br />
University <strong>of</strong> Basel, Basel, Switzerland 2. Division <strong>of</strong><br />
Molecular Psychology, University <strong>of</strong> Basel, Basel,<br />
Switzerland. 3. Center <strong>of</strong> Laboratory Medicine, Cantonal<br />
Hospital, Aarau, Switzerland 4. Division <strong>of</strong> Psychiatry<br />
Research, University <strong>of</strong> Zurich, Lenggstr. 31, 8029 Zurich,<br />
Switzerland<br />
*christian.vogler@unibas.ch<br />
Background: Since the discovery that Copy Number<br />
Polymorphisms (CNPs) - common Copy Number Variations -<br />
may account for a large amount <strong>of</strong> genetic variation in<br />
humans, great efforts have been put in the thorough and<br />
reliable detection <strong>of</strong> CNPs. A special hybrid genotyping array<br />
(Affymetrix SNP 6.0) has been designed to assess copy<br />
number states throughout the genome using a total <strong>of</strong> 1.8<br />
million genomic markers (~900,000 SNPs and ~900,000 Copy<br />
Number Markers). Furthermore a s<strong>of</strong>tware package (birdsuite)<br />
applying the canary algorithm has been provided by the<br />
BROAD Institute, which can be used to assign copy number<br />
states across regions <strong>of</strong> common copy number polymorphisms<br />
.Methods: In our study we individually genotyped 771 healthy<br />
Swiss subjects using the Affymetrix SNP 6.0 Genechip. We<br />
aimed at conducting a CNP analysis applying the canary<br />
algorithm and to subsequently assess the accuracy <strong>of</strong> this<br />
approach using Real-Time-quantitative PCR (RT qPCR) and<br />
array Comparative Genomic Hybridzation (aCGH) as a<br />
validation tool for CNPs. Results and Conclusion: Processing<br />
<strong>of</strong> Affymetrix SNP 6.0 GeneChips worked well and the bird<br />
suite s<strong>of</strong>tware package could be successfully applied. CNP<br />
analysis has been carried out using the Broad-CNP-Map<br />
comprising 1316 CNPs. Applying the recommended quality<br />
controls given by the BROAD institute, in a remaining sample<br />
size <strong>of</strong> 724 individuals a total number <strong>of</strong> 11943 CNPs > 90kb<br />
were detected. Evaluation <strong>of</strong> results with RT qPCR and aCGH<br />
is currently under progress.<br />
256 COMPARISON BETWEEN THREE DIFFERENT<br />
APPROACHES FOR GENOME-WIDE<br />
IDENTIFICATION AND ANALYSIS OF COPY<br />
NUMBER VARIATIONS<br />
L. Gschwind* (1), C. Vogler (1), I. Filges (2), J. Sigmund (1),<br />
D. de Quervain (3), A. Papassotiropoulos (1)<br />
1. Division <strong>of</strong> Molecular Psychology, University <strong>of</strong> Basel,<br />
Basel, Switzerland Life Science Training Facility, Biocentre,<br />
University <strong>of</strong> Basel, Basel, Switzerland<br />
2. Division <strong>of</strong> <strong>Medical</strong> Genetics, Department <strong>of</strong> Biomedicine,<br />
University Children’s Hospital, Basel, Switzerland<br />
3. Division <strong>of</strong> Psychiatry Research, University <strong>of</strong> Zurich,<br />
Zurich, Switzerland<br />
*leo.gschwind@stud.unibas.ch<br />
Background: Very recently Copy Number Variations (CNVs)<br />
have been shown to affect different phenotypic traits such as<br />
susceptibility to disease. Currently, methods for in silico<br />
analysis to identify CNVs using hybrid genotyping array<br />
intensity data are being developed. So far an extensive<br />
evaluation <strong>of</strong> the robustness <strong>of</strong> these algorithms is still<br />
lacking. Methods: We used Affymetrix SNP 6.0 GeneChip<br />
data from 724 healthy Swiss individuals and investigated three<br />
different CNV detecting algorithms (PennCNV, Birdseye and<br />
CNAM). Subsequently to analysis, results <strong>of</strong> all three CNV<br />
detection tools were compared to determine concordance. As<br />
an independent quality control, we also used the Affymetrix<br />
SNP 6.0 GeneChip to process DNA from three clinical<br />
samples with verified large-scale structural variations. We<br />
examined the viability <strong>of</strong> the three different algorithms to<br />
detect the known genomic aberrations. Results and<br />
Conclusion: Affymetrix SNP 6.0 GeneChips were processed<br />
and algorithms could be successfully applied. Preliminary<br />
results indicate that all three algorithms reliably detect sizable<br />
structural variants. Analysis <strong>of</strong> concordance between the three<br />
methods is currently under progress.
257 MACHINE-LEARNING APPROACHES FOR<br />
GENOME-WIDE ASSOCIATION STUDIES OF MOOD<br />
DISORDERS*FAYAZ SEIFUDDIN, MEHDI<br />
PIROOZNIA, JENNIFER JUDY, PAMELA MAHON,<br />
JAMES POTASH, PETER ZANDI<br />
F. Seifuddin* (1), M. Pirooznia (1), J. Judy (1), P. Mahon (1),<br />
J. Potash (1), P. Zandi (1)<br />
1. The Johns Hopkins University School <strong>of</strong> Medicine, Mood<br />
Disorders Program<br />
*fseifud1@jhmi.edu<br />
Mood disorders are highly heritable forms <strong>of</strong> major mental<br />
illnesses. A major breakthrough in genetic association <strong>of</strong><br />
mood disorders was anticipated with the advent <strong>of</strong> genome<br />
wide association studies (GWAS). However, to date few<br />
major significant findings have been identified, which<br />
suggests the complex genetic etiology <strong>of</strong> mood disorders,<br />
requiring alternative approaches to analyzing GWAS data.<br />
Machine learning (ML) and data mining methods have been<br />
successfully employed for both supervised and unsupervised<br />
learning to mine and identify biomarkers in gene expression<br />
studies. In this study, we compared four ML methods, namely,<br />
decision tree, Bayesian networks, support vector machine, and<br />
neural networks, in the analysis <strong>of</strong> GWAS data on bipolar<br />
disorder and major depression. Bipolar datasets were obtained<br />
from the Genetic Association Information Network (GAIN)<br />
and Welcome Trust Case Control Consortium (WTCCC)<br />
bipolar samples. Major depression datasets were obtained<br />
from GAIN depression and Genetics <strong>of</strong> Recurrent Early-onset<br />
Depression (GENRED) samples. We chose one dataset for<br />
each disorder as the training dataset and built SNP classifier<br />
models to distinguish cases and controls. The classifiers were<br />
then applied to the second test datasets and their accuracy for<br />
classification was compared. Different feature selection<br />
methods were explored in order to address the dimensionality<br />
problem and improve the performance <strong>of</strong> the classifiers.<br />
Results across the four methods will be presented for each<br />
disorder. ML methods <strong>of</strong>fer a novel approach to analyze<br />
GWAS data, but their performance characteristics need to be<br />
evaluated to better understand how they may be used to<br />
unravel the complex genetic etiology <strong>of</strong> common mood<br />
disorders.<br />
258 BAYESIAN APPROACHES TO ANALYSING TRIO<br />
DATA<br />
E. Heron* (1), R. Anney (1), L. Gallagher (1), M. Gill (1)<br />
1. Neuropsychiatric Genetics Research Group, Dept. <strong>of</strong><br />
Psychiatry, Trinity College Dublin, Ireland.<br />
*eaheron@tcd.ie<br />
For early onset psychiatric diseases such as ADHD and<br />
Autism, trio data, consisting <strong>of</strong> two parents and an affected<br />
child, can sometimes be collected for GWAS type analyses.<br />
These statistical analyses aim to detect an association between<br />
a disease locus (or a locus in LD with the disease locus) and<br />
the particular disease phenotype under study. This trio data<br />
differs from the usual case control type data used in the<br />
majority <strong>of</strong> GWAS studies, as data from an explicit control<br />
group is not collected. GWAS analyses for trio data are<br />
usually carried out using the transmission disequilibrium test<br />
(TDT). The TDT examines transmissions and<br />
non-transmissions <strong>of</strong> alleles from heterozygous parents to<br />
probands, thus creating pseudo-controls for comparisons. A<br />
Bayesian approach to examine associations for trio data is<br />
presented. This approach uses Bayes factors to compare<br />
models (or hypotheses), ultimately resulting in posterior odds<br />
for a model <strong>of</strong> association for each individual SNP (Equation<br />
1, Y is data). p(H1|Y)/p(H0|Y) = [p(Y|H1)/p(Y|H0)] x<br />
[p(H1)/p(H0)](1)Posterior Odds <strong>of</strong> H1 = Bayes factor x Prior<br />
Odds <strong>of</strong> H1Unlike the p-value approach to testing for<br />
association, the Bayes factor does not require a multiple<br />
testing correction. Instead, meaningful prior information in the<br />
form <strong>of</strong> prior odds <strong>of</strong> association can be incorporated. This<br />
prior information depends on the number <strong>of</strong> SNPs expected to<br />
be disease variants (or in LD with disease variants), not on the<br />
number <strong>of</strong> SNPs genotyped or on the number <strong>of</strong> tests carried<br />
out. We explore the Bayes factor approach using both<br />
simulated and real trio datasets.
259 PHENOMIC ANALYSIS OF PSYCHIATRIC<br />
SYMPTOMS AND RATING SCALES IN PARKINSON’S<br />
DISEASE<br />
R. Schork* (1), M. Houser (2), C. Bloss (1), N. Schork (3)<br />
1. Scripps Genomic Medicine; Elon University 2. Division <strong>of</strong><br />
Neurology, Scripps Clinic 3. Department <strong>of</strong> Molecular and<br />
Experimental Medicine, The Scripps Research Institute<br />
*rschork@elon.edu<br />
Non-motor symptoms in Parkinson’s disease (PD) are<br />
common, but poorly understood. One issue is a paucity <strong>of</strong><br />
research in this area, and another is evidence that traditional<br />
analysis <strong>of</strong> total scores on standard psychiatric rating scales<br />
may be inadequate for assessment <strong>of</strong> these symptoms (e.g.,<br />
anxiety) in PD. As such, we conducted association analysis <strong>of</strong><br />
psychiatric symptoms in PD, comparing findings from<br />
analysis <strong>of</strong> total rating scale scores versus item-level pr<strong>of</strong>iles.<br />
Four scales administered to 23 PD patients were evaluated,<br />
including the State-Trait Anxiety Inventory, Geriatric<br />
Depression Scale, Beck Depression Inventory, and Marin<br />
Apathy Scale. Independent variables (IVs) hypothesized to be<br />
associated with psychiatric symptomatology were identified<br />
from the literature, and two sets <strong>of</strong> analyses were performed:<br />
(1) linear regression <strong>of</strong> total scores for each scale on each IV;<br />
and (2) multivariate distance matrix regression (MDMR) <strong>of</strong><br />
item-level pr<strong>of</strong>iles on each IV. Fourteen IVs were identified,<br />
including demographic and disease-related variables,<br />
cognitive indices, daytime sleepiness, and comorbid disease.<br />
Results revealed differences in the IVs found to be associated<br />
with total scores versus item-level pr<strong>of</strong>iles on each <strong>of</strong> the four<br />
scales. Across all <strong>of</strong> the scales, IVs with the most discrepant<br />
association statistics between the two methods included<br />
daytime sleepiness, Mini-Mental Status, and perceived<br />
memory problems. Furthermore, follow-up analyses suggest<br />
that certain items on each scale may be more salient than<br />
others for psychiatric assessment in PD populations. Findings<br />
suggest that item-level “phenomic” analysis <strong>of</strong> psychiatric<br />
rating scales may provide useful additional information in the<br />
assessment <strong>of</strong> psychiatric symptomatology in PD.<br />
260 BLOCK-WISE GENOME-WIDE ASSOCIATION<br />
ANALYSIS IDENTIFIES A LIMITED NUMBER OF<br />
REPLICABLE CANDIDATE REGIONS LINKED WITH<br />
SCHIZOPHRENIA<br />
T. Gladwin (1), E. Derks* (1), W. Cahn (1), R. Kahn (1), R.<br />
Oph<strong>of</strong>f (1)<br />
1. Department <strong>of</strong> Psychiatry, Rudolf Magnus Institute <strong>of</strong><br />
Neuroscience, University <strong>Medical</strong> Centre Utrecht, Utrecht,<br />
The Netherlands<br />
*e.m.derks@umcutrecht.nl<br />
Schizophrenia is a complex disorder with high heritability.<br />
Genome Wide Association (GWA) studies have been hindered<br />
by low statistical power to detect risk alleles with small effect<br />
sizes. We will introduce a new approach to the analysis <strong>of</strong><br />
GWA data. Genotypic data were available for 728 cases and<br />
653 controls from the Netherlands; GAIN data <strong>of</strong> 1,172 cases<br />
and 1,378 were used for replication. The aim is to identify<br />
regions with a significantly increased number <strong>of</strong> nominally<br />
significant tests. To this end, 22 autosomal chromosomes were<br />
split into 1390 2 MB regions. While single SNP and haplotype<br />
analyses did not result in statistically significant findings, we<br />
identified 13 regions with an increase in nominally significant<br />
SNPs. Five <strong>of</strong> these regions could be replicated (p
261 POWER DIFFERENCES FOR FAMILY-BASED<br />
EPISTASIS DETECTION METHODS<br />
S. Bergen* (1), A. Fanous (2), K. Kendler (3), B. Maher (4)<br />
1. Department <strong>of</strong> Human and Molecular Genetics, Virginia<br />
Commonwealth University 2. Washington VA <strong>Medical</strong><br />
Center, Georgetown University <strong>Medical</strong> Center, Virginia<br />
Commonwealth University 3. Virginia Institute for Psychiatric<br />
and Behavrioral Genetics, Department <strong>of</strong> Psychiatry, Virginia<br />
Commonwealth University 4. Departments <strong>of</strong> Psychiatry and<br />
Human and Molecular Genetics, Virginia Commonwealth<br />
University<br />
*sbergen@gmail.com<br />
The impact <strong>of</strong> genetic variation on common diseases is<br />
complex, involving many loci and their interactions. In<br />
population-based association samples, modeling gene-gene<br />
interaction, or epistasis, the conditional impact <strong>of</strong> one genetic<br />
polymorphism on another, is a relatively straightforward<br />
exercise. In these samples, genotypes at multiple loci, with<br />
their interaction term(s), can be included in a regression model<br />
as predictors. Detection <strong>of</strong> gene-gene interactions in<br />
family-based association samples is more complicated, but<br />
several methods have been proposed. In these approaches<br />
pseudocontrols are created based on the alleles or genotypes<br />
that were not transmitted to an affected <strong>of</strong>fspring from<br />
genotyped parents. Two main approaches to generating<br />
pseudocontrols involve using nontransmitted two-locus<br />
genotypes (Cordell approach) and nontransmitted alleles<br />
(two-locus haplotype relative risk approach; HRR). In the<br />
former, 15 pseudocontrols would be generated, while the latter<br />
yields only three. These cases and pseudocontrols are then<br />
analyzed using logistic regression conditional on the parental<br />
genotypes. The core distinction between these approaches is<br />
the inclusion <strong>of</strong> transmitted alleles in the creation <strong>of</strong><br />
pseudocontrol genotypes in the Cordell approach. We have<br />
explored the power for both <strong>of</strong> these methods under a variety<br />
<strong>of</strong> models <strong>of</strong> epistasis in 1000 simulated samples <strong>of</strong> 500<br />
parent-child trios. Under “classic” epistasis models, the HRR<br />
approach yields greater power, but under most other models<br />
(recessive, additive, heterogeneity, and crossover) the Cordell<br />
approach demonstrates increased power for detecting epistasis.<br />
These results suggest different approaches to family based<br />
epistasis testing are indicated depending on the expected<br />
model <strong>of</strong> epistasis in effect.<br />
262 PSYCHIATRIC GWAS CONSORTIUM -<br />
CHALLENGES IN WORLD WIDE GENETIC<br />
ASSOCIATION STUDIES<br />
S. Ripke* (1), M. Daly (1), B. Neale (1)<br />
1. CHGR<br />
* ripke@chgr.mgh.harvard.edu<br />
Here we present a quality control pipeline for genome-wide<br />
association SNP data. This pipeline was developed at MGH in<br />
Boston, as a direct outgrowth <strong>of</strong> the Psychiatric GWAS<br />
Consortium Analytic Committee. The aims <strong>of</strong> this pipeline are<br />
to execute the quality control <strong>of</strong> GWAS-SNP data, impute<br />
variation based on a reference sample and combine the data in<br />
a single analysis. The quality control steps include the<br />
capacity to identify relatives and overlapping samples in and<br />
across studies, as well as produce principal components<br />
representing population variation to control for stratification in<br />
downstream-analysis and ancestry outlier exclusion. Through<br />
the use <strong>of</strong> parallelization and massive computer clusters such<br />
as the GCC (Netherlands), preliminary results can be<br />
generated in as little as one week, even for study sizes <strong>of</strong> over<br />
40,000 individuals. This poster is meant as an addition to the<br />
Plenary Session 4 – Psychiatric GWAS Consortium on<br />
Sunday, November 8th, and should educate the field about the<br />
challenges from handling multiple datasets from all over the<br />
world, as well as provide insight into emerging solutions to<br />
these difficulties.
263 EVIDENCE FOR EPISTASIS IN GENOME-WIDE<br />
ASSOCIATION STUDIES OF BIPOLAR DISORDER<br />
J. Judy* (1), P. Belmonte (1), F. Seifuddin (1), M. Pirooznia<br />
(1), Bipolar Genome Study (BiGS), J. Potash (1), P. Zandi (1)<br />
1. Johns Hopkins School <strong>of</strong> Medicine, Johns Hopkins School<br />
<strong>of</strong> Public Health<br />
* jtoolan1@jhmi.edu<br />
Bipolar Disorder (BD) is highly heritable, suggesting an<br />
underlying genetic etiology. However, efforts to identify<br />
causal genetic variants in BD have been markedly<br />
unsuccessful. Epistasis, whereby a genetic variant at one locus<br />
influences the phenotypic effect <strong>of</strong> a different locus, may<br />
contribute to this lack <strong>of</strong> discovery. Data from large scale<br />
genome-wide association studies (GWAS) affords researchers<br />
the opportunity to explore this phenomenon. We examined the<br />
potential role <strong>of</strong> epistasis in BD by analyzing data from two<br />
GWAS from the BiGS Consortium: an initial sample <strong>of</strong> 1001<br />
cases and 1034 controls from the GAIN data, and a follow-up<br />
sample <strong>of</strong> 1199 cases and 403 controls from the TGEN data.<br />
We used PLINK to search for statistically significant pairwise<br />
interactions, followed by querying functional annotation<br />
databases to find evidence for biological interactions. We<br />
followed two complementary strategies. We first employed<br />
the “clumping” routine to identify the 513 most significantly<br />
associated loci that tagged the remaining SNPs, and tested for<br />
interactions between them. We then examined the pairwise<br />
interactions between SNPs in ANK3, which has been<br />
implicated as genome-wide significant in BD, and SNPs<br />
across the genome. The most significant interaction consistent<br />
between the two samples was between rs4948254 in ANK3<br />
and 3 SNPs (rs2206135, rs2235460, and rs4811247) in<br />
CTNNBL1 (p-values between 10e-03 to 10e-05).<br />
Interestingly, CTNNBL1 is a homologue to beta-catenin, a<br />
key component <strong>of</strong> the Wnt signaling pathway, and is involved<br />
in apoptosis. We plan to test for replication <strong>of</strong> this interaction<br />
using the WTCCC data.<br />
264 GENOME WIDE STRATEGIES TO CORRECT<br />
FOR MULTIPLE TESTING IN THE STUDY OF<br />
GENETIC INTERACTIONS<br />
G. Guffanti* (1), H. Stern (1), J. Turner (1), S. Potkin (1), F.<br />
Macciardi (1), N. Schork (2)<br />
1. University <strong>of</strong> California, Irvine 2. Scripps Health and The<br />
Scripps Research Institute<br />
*gguffant@uci.edu<br />
Success in identifying susceptibility genes for complex traits<br />
is strongly affected by the ability to describe the effects <strong>of</strong><br />
gene-environment (GxE) interactions. We present a<br />
comprehensive genome-wide strategy to test GxE interactions<br />
through an integrated methodological framework. This<br />
methodology performs iterative resampling procedures for<br />
interaction terms to correct for multiple comparisons. Our<br />
methodology tests separately tests GxE interaction effects<br />
from the main effects using the traditional regression-based<br />
general linear models (GLMs). We isolate the proportion <strong>of</strong><br />
variance explained by the interaction term factoring out main<br />
effects from the GLM that tests the hypothesis <strong>of</strong> no<br />
interaction. Then we apply non-parametric inferential<br />
data-driven procedures to the variance explained by the<br />
interaction and contrast the results with<br />
null-quantile-transformed distribution. The rejection regions<br />
for the test statistics are defined using stepwise multiple<br />
testing procedures to derive the appropriate adjustment <strong>of</strong> the<br />
p-values. We evaluated the accuracy <strong>of</strong> the multiple testing<br />
corrections in both simulation and real dataset studies<br />
assessing effect size, power and sample size. We validated our<br />
novel measure to describe GxE interactions’ effects on disease<br />
risk by contrasting the E+,BB events that identify the high risk<br />
pr<strong>of</strong>ile subjects to the rest <strong>of</strong> the individuals involved in the<br />
study, the negative risk pr<strong>of</strong>ile subjects. This is the first<br />
statistical approach that recasts the relationship between the<br />
four main components <strong>of</strong> statistical hypothesis testing (i.e.,<br />
significance level α, power, effect size, sample size) so that it<br />
can account for the specific characteristics <strong>of</strong> a complex<br />
phenomenon like GxE interaction.
265 MODELING THE COMBINED EFFECTS OF SNPS<br />
USING BINOMIAL LOGISTIC REGRESSION:<br />
SELECTION CRITERIA AND THE USE OF<br />
PRINCIPAL COMPONENTS ANALYSIS<br />
T. Gladwin (1), W. Cahn (1), R. Kahn (1), R. Oph<strong>of</strong>f (1), E.<br />
Derks* (1)<br />
1. Department <strong>of</strong> Psychiatry, Rudolf Magnus Institute <strong>of</strong><br />
Neuroscience, University <strong>Medical</strong> Centre Utrecht, Utrecht,<br />
The Netherlands<br />
*e.m.derks@umcutrecht.nl<br />
Genome Wide Association (GWA) studies suggest that many<br />
loci with small effect sizes play a role in schizophrenia. We<br />
present the results <strong>of</strong> a modeling approach that combines these<br />
effects. Genome wide data were available for 728 cases and<br />
653 controls. Principal component analysis was performed on<br />
1618 SNP-variabless which were associated (P
267 SZGR: A COMPREHENSIVE SCHIZOPHRENIA<br />
GENE RESOURCE<br />
P. Jia* (1), J. Sun (1), A. Guo (2), Z. Zhao (1)<br />
1. Vanderbilt University 2. Virginia Institute for Psychiatric<br />
and Behavioral Genetics, Virginia Commonwealth University<br />
*peilin.jia@vanderbilt.edu<br />
Introduction: We have seen during the past two decades an<br />
exponential growth <strong>of</strong> vast amounts <strong>of</strong> biological data in<br />
schizophrenia genetics, including those generated by<br />
traditional positional cloning approach, individual<br />
gene/marker association studies and emerging genome-wide<br />
association studies, more than 32 genome-wide linkage scans<br />
and several meta-analyses, and a large number <strong>of</strong> microarray<br />
experiments. Besides these genetic datasets, abundant<br />
biological information for the schizophrenia candidate genes<br />
can be extracted from public databases such as Gene Ontology<br />
annotations, protein-protein interaction (PPI) networks, and<br />
regulatory and cellular pathways. At present, there is a strong<br />
trend towards integrating the data from various genetic studies<br />
and their related biological information in the cellular systems<br />
so that promising candidate genes can be prioritized for follow<br />
up bioinformatics analysis and experimental verification.<br />
Methods: We designed and implemented Schizophrenia Gene<br />
Resource (SZGR), a comprehensive database with<br />
user-friendly web interface. SZGR was implemented as a<br />
relational database using the open source MySQL database<br />
system and is freely accessible through a web interface<br />
developed in JSP technology. Results: SZGR deposits genetic<br />
data from all available sources including association studies,<br />
linkage scans, gene expression, literature, Gene Ontology<br />
(GO) annotations, gene networks, cellular and regulatory<br />
pathways, and microRNAs and their target sites. Moreover,<br />
SZGR provides online tools for data browse and search, data<br />
integration, custom gene ranking, and graphical presentation.<br />
Conclusions: To our understanding, SZGR is the most<br />
comprehensive resource for schizophrenia, or such kind in<br />
psychiatric genetics. This system can be easily applied to other<br />
complex diseases, especially other psychiatric disorders. The<br />
SZGR database is available at<br />
http://bioinfo.mc.vanderbilt.edu/SZGR/.
SUBSTANCE ABUSE<br />
268 ASSOCIATION BETWEEN THE NMDA<br />
RECEPTOR SUBUNIT 2B GENE (GRIN2B) AND<br />
NICOTINE DEPENDENCE IN A SAMPLE OF<br />
JAPANESE WORKERS<br />
S. Sakata* (1), T. Shinkai (1), H. Chen (2), K. Utsunomiya<br />
(1), Y. Fukunaka (1), K. Yamada (1), O. Ohmori (1), J.<br />
Nakamura (1)<br />
1. Department <strong>of</strong> Psychiatry, School <strong>of</strong> Medicine, University<br />
<strong>of</strong> Occupational and Environmental Health, Kitakyushu, Japan<br />
2. Department <strong>of</strong> Psychiatry, School <strong>of</strong> Medicine, University<br />
<strong>of</strong> Occupational and Environmental Health, Kitakyushu,<br />
Japan; Department <strong>of</strong> Public Health, Kaohsiung <strong>Medical</strong><br />
University, Kaohsiung, Taiwan<br />
*bossnokobun@yahoo.co.jp<br />
Preclinical research findings in laboratory animals indicate<br />
that the glutamatergic system may be involved in nicotine<br />
dependence. In animals, N-methyl-D-aspartate (NMDA)<br />
receptor antagonists decreased nicotine self-administration or<br />
reinstatement <strong>of</strong> nicotine-seeking behavior. NMDA receptor<br />
dysfunction may be involved in the pathophysiology <strong>of</strong><br />
smoking behavior. The human gene cording for the 2B subunit<br />
<strong>of</strong> the NMDA receptor (GRIN2B) is thus considered a<br />
candidate gene for nicotine dependence. To examine the<br />
hypothesis, we examined the association between smoking<br />
behavior and three GRIN2B polymorphisms, G-200T<br />
(5'UTR), C2664T (exon 13) and T5072G (3'UTR), using a<br />
sample <strong>of</strong> Japanese healthy workers (N = 673). This study<br />
was approved by the Ethics Committee <strong>of</strong> the University <strong>of</strong><br />
Occupational and Environmental Health, and informed<br />
consent was obtained from all subjects prior to participation to<br />
the study. Among smokers, the -200G allele, which has been<br />
associated with lower gene activity, was associated with<br />
having smoking cessation histories (for more than 1 month)<br />
with non-significant trend (P=0.09). Our results suggest that<br />
GRIN2B G-200T polymorphism may play a role in smoking<br />
cessation in our sample. Details <strong>of</strong> association analyses for<br />
other markers as well as marker haplotypes will be presented.<br />
269 POSSIBLE ASSOCIATION BETWEEN THE<br />
ALA72SER POLYMORPHISM OF THE<br />
CATECHOL-O-METHYL TRANSFERASE GENE<br />
(COMT) AND NICOTINE DEPENDENCE IN A<br />
SAMPLE OF JAPANESE WORKERS<br />
K. Utsunomiya* (1), T. Shinkai (2), S. Sakata (3), H. Chen<br />
(4), Y. Fukunaka (5), K. Yamada (6), O. Ohmori (7), J.<br />
Nakamura (8)<br />
1. Department <strong>of</strong> Psychiatry, School <strong>of</strong> Medicine, University<br />
<strong>of</strong> Occupational and Environmental Health<br />
*k-utsu@med.uoeh-u.ac.jp<br />
Catechol-O-methyl transferase gene (COMT) is one <strong>of</strong> the<br />
enzymes involved in the degradation and inactivation <strong>of</strong><br />
catecholamine transmitters including dopamine, which is<br />
present in dopaminergic brain regions. Nicotine stimulates<br />
dopamine release and activates dopaminergic reward neurons.<br />
The dopaminergic reward system may be a key mechanism in<br />
nicotine dependence. Recently, new functional single<br />
nucleotide polymorphism (SNP) Ala72Ser in the COMT gene,<br />
which accounts for the enzyme activity, was found. The<br />
purpose <strong>of</strong> our study is to examine the association between the<br />
COMT Ala72Ser polymorphism and nicotine dependence in<br />
its each stage (e.g., smoking initiation, dependence<br />
development, and smoking cessation). Smoking status was<br />
confirmed by in-person structured interviews. We have<br />
recruited the present sample from one <strong>of</strong> the Japanese major<br />
manufacturing company, with advantage <strong>of</strong> relatively<br />
homogenous background (total N = 673). Among them, we<br />
defined 435 smoking initiators (SI) and 234 non-initiators<br />
(who reported never having smoked a single cigarette: NI).<br />
Among SI, 417 were high nicotine dependent smokers (who<br />
reported having smoked > 100 cigarettes or total smoking<br />
duration > 6 months in their lifetime: HND), and 16 low<br />
nicotine dependent smokers (LND). Although there was no<br />
significant difference in both genotype and allele frequencies<br />
between SI and NI, we found a significant difference in both<br />
genotype (chi-square= 13.56, d.f. = 2, p= 0.019) and allele<br />
frequencies (chi-square = 5.089, d.f. = 1, p = 0.038, OR =<br />
0.34, 95%CI = 0.14-0.81) <strong>of</strong> the COMT Ala72Ser between<br />
HND and LND. These data suggest that the COMT Ala72Ser<br />
polymorphism is possibly associated with the degree <strong>of</strong><br />
nicotine dependence in Japanese workers.
270 THE ASSOCIATION OF NEURONAL NICOTINE<br />
ACETYLCHOLINE RECEPTOR ALPHA4 AND BETA2<br />
GENE POLYMORPHISMS WITH NICOTINE<br />
DEPENDENCE IN JAPANESE MALE WORKERS<br />
H. Chen* (1), T. Shinkai (2), S. Sakata (2), K. Utsunomiya<br />
(3), Y. Fukunaka (2), K. Yamada (2), O. Ohmori (4), J.<br />
Nakamura (2)<br />
1. Department <strong>of</strong> Psychiatry, University <strong>of</strong> Occupational and<br />
Environmental Health, Kitakyushu, Japan; Department <strong>of</strong><br />
Public Health, Kaohsiung <strong>Medical</strong> University, Kaohsiung,<br />
Taiwan 2. Department <strong>of</strong> Psychiatry, University <strong>of</strong><br />
Occupational and Environmental Health, Kitakyushu, Japan<br />
3. Department <strong>of</strong> Psychiatry, University <strong>of</strong> Occupational and<br />
Environmental Health, Kitakyushu, Japan; Health<br />
Management Department, Shimonoseki Shipyard &<br />
Machinery Works, Mitsubishi Heavy Industries, Ltd.,<br />
Shimonoseki, Japan 4. Department <strong>of</strong> Psychiatry, University<br />
<strong>of</strong> Occupational and Environmental Health, Kitakyushu,<br />
Japan; Wakato Hospital, Kitakyushu, Japan<br />
*stbchen@med.uoeh-u.ac.jp<br />
Polymorphisms in the genes coding the nicotinic acetylcholine<br />
receptors have been suggested to play a role in the<br />
determination <strong>of</strong> smoking-related phenotypes because<br />
smoking activates the brain reward system through these<br />
receptors. To examine this hypothesis, we conducted a<br />
genetic association study in a well-defined sample <strong>of</strong> Japanese<br />
workers (N =673). We analyzed 5 SNPs in the CHRNA4<br />
gene and 3 SNPs in the CHRNB2. We assessed nicotine<br />
dependence using the Fagerström Test <strong>of</strong> Nicotine<br />
Dependence (FTND) and the Tobacco Dependence Screener<br />
(TDS). Among 284 current male smokers, 168 were<br />
dependent smokers (DS) (FTND score 4 or more) and 116<br />
were non-dependent smokers (non-DS). We found a<br />
significant difference <strong>of</strong> the CHRNA4 (rs1044397) genotype<br />
distribution between DS and non-DS (chi-square= 7.84, df =<br />
2, p-value = 0.02). As for the CHRNB2 gene polymorphism<br />
(rs4845652), we found non-significant differences in both<br />
genotype (chi-square =2.99, df=1, p-value=0.08) and allele<br />
frequencies (chi-square=3.78, df=1, p-value=0.05) between<br />
DS and non-DS groups. Our data suggests that CHRNA4 and<br />
CHRNB2 gene may correlate to nicotine dependence in our<br />
sample. The gene-gene interaction data will be presented.<br />
271 ASSOCIATION OF POLYMORPHISM IN THE<br />
HUMAN MU-OPIOID RECEPTOR OPRM1 GENE<br />
WITH NICOTINE DEPENDENCE IN JAPANESE<br />
WORKERS<br />
T. Shinkai* (1)<br />
1. Department <strong>of</strong> Psychiatry, University <strong>of</strong> Occupational and<br />
Environmental Health, Kitakyushu, Japan<br />
*shinkai@med.uoeh-u.ac.jp<br />
The mu-opioid receptor has been implicated in the<br />
pathogenesis <strong>of</strong> substance dependence including nicotine<br />
dependence. Studies examining the association <strong>of</strong> the<br />
mu-opioid receptor gene (OPRM1) with substance<br />
dependence have focused on the Asn40Asp (A118G) single<br />
nucleotide polymorphism (SNP). In the present study, we<br />
tested association between the functional OPRM1 A118G<br />
polymorphism (rs1799971) and nicotine dependence in its<br />
each stage (e.g., smoking initiation, dependence development,<br />
and smoking cessation) in a well-defined sample <strong>of</strong> Japanese<br />
workers. We have recruited the present sample from one <strong>of</strong> the<br />
Japanese major manufacturing company (total N = 673), with<br />
advantage <strong>of</strong> relatively homogeneous background. Smoking<br />
status was confirmed by in-person structured interviews.<br />
Among our sample, we identified 233 never smokers (who<br />
reported never having smoked a single cigarette in their<br />
lifetime) and 167 heavy smokers (who smoke >20 cigarettes<br />
daily). We found a non-significant difference in allele<br />
frequency (?2 = 3.54, df = 1, p = 0.06) between never smokers<br />
and heavy smokers. Our data suggests that OPRM1 gene may<br />
confer the risk for nicotine dependence in our sample.
272 ASSOCIATION BETWEEN THE BDNF VAL66MET<br />
POLYMORPHISM AND NICOTINE DEPENDENCE IN<br />
A SAMPLE OF JAPANESE WORKER<br />
K. Yamada* (1), T. Shinkai (1), K. Utsunomiya (2), H. Chen<br />
(3), S. Sakata (1), Y. Fukunaka (1), O. Ohmori (4), J.<br />
Nakamura (1)<br />
1. Department <strong>of</strong> Psychiatry, School <strong>of</strong> Medicine, University<br />
<strong>of</strong> Occupational and Environmental Health, Kitakyushu, Japan<br />
2. Department <strong>of</strong> Psychiatry, School <strong>of</strong> Medicine, University<br />
<strong>of</strong> Occupational and Environmental Health, Kitakyushu,<br />
Japan; Health Management Department, Shimonoseki<br />
Shipyard & Machinery Works, Mitsubishi Heavy Industries,<br />
Ltd., Shimonoseki, Japan 3. Department <strong>of</strong> Psychiatry, School<br />
<strong>of</strong> Medicine, University <strong>of</strong> Occupational and Environmental<br />
Health, Kitakyushu, Japan; Department <strong>of</strong> Public Health,<br />
Kaohsiung <strong>Medical</strong> University, Kaohsiung , Taiwan<br />
4. Department <strong>of</strong> Psychiatry, School <strong>of</strong> Medicine, University<br />
<strong>of</strong> Occupational and Environmental Health, Kitakyushu,<br />
Japan; Wakato Hospital, Wakamatsu-ku, Kitakyushu, Japan<br />
*hokuto_no_ken_1225@yahoo.co.jp<br />
Brain-derived neurotrophic factor (BDNF) is a nerve growth<br />
factor that plays an important role in the development and<br />
maintenance <strong>of</strong> adult neurons and is important regulator <strong>of</strong><br />
synaptic plasticity in human brain. It has been reported that<br />
BDNF and dopamine (DA) systems interact within a number<br />
<strong>of</strong> neurobiological processes (Guillin et al., 2001). BDNF's<br />
influence on DA responsiveness might be an important factor<br />
in the etiopathology <strong>of</strong> substance abuse including nicotine<br />
dependence, which is implicated in DA reward system<br />
(Guillin et al., 2001, 2007). Interestingly, preclinical data<br />
show that acute administration decreases, whereas chronic<br />
nicotine increases, BDNF mRNA levels in the hippocampus<br />
(Kenny et al., 2000). Further, genome-wide linkage scans<br />
indicate that the region <strong>of</strong> chromosome 11p13, where the<br />
BDNF gene is located, likely harbors susceptibility genes for<br />
nicotine dependence (Li et al., 2003). Moreover, Beuten et al.<br />
(2005) provide evidence <strong>of</strong> an association between allelic<br />
variants <strong>of</strong> BDNF and nicotine dependence in male Caucasian<br />
smokers (Beuten et al., 2005). More recent reports also<br />
showed an association between smoking behavior and the<br />
BDNF Val66Met polymorphism (Lang et al., 2007). Taken<br />
together, these findings suggest that BDNF may play an<br />
important role in the pathophysiology <strong>of</strong> nicotine dependence.<br />
We have recruited the present sample from one <strong>of</strong> the<br />
Japanese major manufacturing companies (total N = 673),<br />
with advantage <strong>of</strong> relatively homogeneous background.<br />
Among our sample, we identified 233 never smokers (who<br />
reported never having smoked a single cigarette in their<br />
lifetime) and 167 heavy smokers (who smoke ?20 cigarettes<br />
daily). We could not find an association between smoking and<br />
the BDNF Val66Met polymorphism in our sample. Our data<br />
suggests that BDNF gene may not confer the risk for nicotine<br />
dependence in Japanese workers.<br />
273 PRINCIPAL COMPONENT AND BAYESIAN<br />
NETWORK ANALYSES OF GENOME WIDE<br />
ASSOCIATION RESULTS FROM SUBSTANCE<br />
DEPENDENCE AND SMOKING CESSATION<br />
SUCCESS.<br />
T. Drgon* (1), C. Johnson (1), J. Rose (2), G. Uhl (1)<br />
1. NIDA, NIH 2. Duke University<br />
*tdrgon@intra.nida.nih.gov<br />
Complex traits with polygenic genetic architecture provide<br />
challenges for genome wide association. When expected effect<br />
sizes for individual polymorphisms are modest, extremely<br />
large sample sizes may be required to achieve “genome wide<br />
significance” using eg 2 tests with corrections for multiple<br />
comparisons. Principal Component Analysis (PCA) reduces<br />
multidimensional datasets to simpler covariance or distance<br />
matrices and is a priori agnostic to structure in the data. PCA<br />
components readily distinguish individuals <strong>of</strong> different<br />
racial/ethnic backgrounds, as we have demonstrated in<br />
comparison <strong>of</strong> 500k GWA data from f European American,<br />
African American and Asian samples. However, other<br />
principal components clearly distinguish samples <strong>of</strong> substance<br />
dependent individuals from controls, and successful vs.<br />
unsuccessful quitters in smoking cessation trials. We have<br />
developed permutation and Monte Carlo tests that allow us to<br />
assign p values for the significance <strong>of</strong> these differences.<br />
Bayesian networks (BN) provide probabilistic graphical<br />
models that help visualize a set <strong>of</strong> variables and their<br />
conditional independencies. Bayesian networks can thus help<br />
us to classify individuals based on genotypes and other<br />
relevant phenotypic variables. We have constructed Bayesian<br />
network models for predicting success in smoking. Each <strong>of</strong><br />
these models provides support for the idea that additive<br />
genetic influences can describe substantial proportions <strong>of</strong> the<br />
genetic contributions to these phenotypes. Each <strong>of</strong> these<br />
models is internally consistent and provides a basis for<br />
development <strong>of</strong> clinically relevant probabilistic decision<br />
making.
274 TYROSINE HYDROXYLASE GENE AND<br />
METHAMPHETAMINE USE DISORDERS<br />
H. Ujike* (1), Y. Okahisa (1), M. Takaki (1), M. Kodama (1),<br />
T. Inada (2), N. Uchimura (2), M. Yamada (2), M. Iyo (2), I.<br />
Sora (2), N. Iwata (10), N. Ozaki (2)<br />
1. Department <strong>of</strong> Neuropsychiatry, Okayama University<br />
Graduate School <strong>of</strong> Medicine, Dentistry and Pharmaceutical<br />
Sciences 2. JGIDA<br />
* hujike@cc.okayama-u.ac.jp<br />
Tyrosine hydroxylase (TH) is a rate-limiting enzyme <strong>of</strong><br />
dopamine synthesis and may be involved in several<br />
dopamine-related neuropsychiatric disorders including<br />
substance dependence and schizophrenia. Previous reports<br />
showed significant genetic association between the TH gene<br />
and nicotine dependence and alcoholism. We examined two<br />
polymorphisms <strong>of</strong> the TH gene, HUMTH01-VNTR and<br />
Val81Met (rs6356), in 221 patients with methamphetamine<br />
dependence and/or psychosis and 279 age- and sex-matched<br />
healthy controls. There was no significant difference in allelic<br />
and genotypic distribution <strong>of</strong> HUMTH01-VNTR and<br />
Val81Met between methamphetamine dependence/psychosis<br />
and control. Several clinical phenotypes <strong>of</strong> methamphetamine<br />
dependence/psychosis, such as age at first abuse, duration <strong>of</strong><br />
latency from the first abuse to onset <strong>of</strong> psychosis, prognosis <strong>of</strong><br />
psychosis after therapy, and complication <strong>of</strong> spontaneous<br />
relapse <strong>of</strong> psychotic state were examined, however, there was<br />
no association between any polymorphism and the clinical<br />
phenotype, either. HUMTH01-VNTR is a tetra-nucleotide<br />
repeat located in the intron 1, which motif indicates binding to<br />
transcription factors. K1 allele <strong>of</strong> HUMTH01-VNTR was<br />
shown to be associated with heart rate and HVA concentration<br />
in CSF and serum. Val81Met polymorphism changes TH<br />
structure. Accordingly, the two polymorphisms examined in<br />
the present study may be physiologically functional.<br />
Therefore, the present findings may indicate that individual<br />
variation <strong>of</strong> TH activity may not be involved in susceptibility<br />
to methamphetamine use disorders and those clinical severity<br />
or prognosis <strong>of</strong> psychosis.<br />
275 LINKAGE SCAN OF NICOTINE DEPENDENCE IN<br />
THE UCSF FAMILY ALCOHOLISM STUDY<br />
I. Gizer* (1), C. Ehlers (2), C. Vietan (3), K. Seaton-Smith<br />
(4), H. Feiler (5), J. Lee (6), S. Segall (7), D. Gilder (1), K.<br />
Wilhelmsen (1)<br />
1. University <strong>of</strong> North Carolina 2. Scripps Research Institute<br />
3. California Pacific <strong>Medical</strong> Center 4. Arizona College <strong>of</strong><br />
Osteopathic Medicine 5. University <strong>of</strong> California at San<br />
Francisco 6. University <strong>of</strong> Illinois at Urbana-Champaign<br />
7. University <strong>of</strong> North Carolina at Chapel Hill<br />
* igizer@unc.edu<br />
Ample data suggest nicotine dependence represents a heritable<br />
condition, and several research groups have performed linkage<br />
analysis to identify genomic regions associated with this<br />
disorder. In the present study, a genome-wide linkage scan for<br />
nicotine dependence was conducted in a community sample<br />
that included 950 probands and 1204 first-degree relatives<br />
recruited as part <strong>of</strong> the UCSF Family Alcoholism Study. The<br />
Semi-Structured Assessment for the Genetics <strong>of</strong> Alcoholism<br />
(SSAGA) was used to derive DSM-IV nicotine dependence<br />
diagnoses, and linkage analysis was conducted using variance<br />
components analysis. The strongest linkage signal was<br />
observed on chromosome 2q31.1 at 184 centimorgans nearest<br />
to marker D2S2188 (LOD score = 3.52, nominal p-value =<br />
.00005). Additionally, suggestive linkage peaks were<br />
identified on chromosomes 2q13, 4p15.33-31, 11q25, and<br />
12p11.23-21. Notably, analyses <strong>of</strong> co-occurring alcohol<br />
dependence suggested that the 2q31.1 locus is not linked to<br />
alcohol dependence in the present population, and thus may<br />
influence nicotine dependence specifically. In addition,<br />
linkage analysis <strong>of</strong> the 14 individual nicotine dependence<br />
symptoms assessed by the SSAGA to the 2q31.1 locus showed<br />
that a broad range <strong>of</strong> nicotine dependence symptoms provided<br />
modest contributions to the observed linkage signal suggesting<br />
that this locus confers a general risk towards nicotine<br />
dependence rather than influencing a specific facet <strong>of</strong> the<br />
disorder. In sum, these data provide compelling evidence that<br />
chromosome 2q31.1 harbors a susceptibility locus for nicotine<br />
dependence.
276 ASSOCIATION ANALYSIS BETWEEN<br />
POLYMORPHISMS IN MONOAMINE OXIDASE A<br />
(MAOA) AND DOPAMINE RECETOR D2 (DRD2)<br />
GENES AND COCAINE DEPENDENCE<br />
A. Negrão* (1), A. Pereira (2), R. Laranjeira (3), J. Krieger<br />
(2), H. Vallada (1)<br />
1. Program <strong>of</strong> Genetics and Pharmacogenetics, Department<br />
and Institute <strong>of</strong> Psychiatry, University <strong>of</strong> São Paulo <strong>Medical</strong><br />
School, São Paulo, Brazil 2. Laboratory <strong>of</strong> Genetic and<br />
Molecular Cardiology/LIM-13, Heart Institute (InCor),<br />
University <strong>of</strong> São Paulo <strong>Medical</strong> School, São Paulo, Brazil 3.<br />
Alcohol and Drug Research Unit, Psychiatry Department,<br />
Federal University <strong>of</strong> São Paulo, São Paulo, Brazil<br />
*abnegrao@usp.br<br />
Dopaminergic brain systems have a major role in drug reward,<br />
thus making genes involved in these circuits candidates for<br />
susceptibility to substance use disorders. An association<br />
between cocaine dependence and a dopamine transporter gene<br />
in a sample <strong>of</strong> cocaine users in Brazil has previously been<br />
published. In the present study we investigate other candidate<br />
genes involved in dopaminergic neurotransmission in that<br />
same sample: monoamine oxidase A (MAOA) and dopamine<br />
D2 receptor (DRD2). MAOA is an enzyme involved in the<br />
oxidative metabolism <strong>of</strong> dopamine. Antisocial behavior<br />
associated with alcohol consumption has been related to a<br />
variation in the MAOA gene. In addition, epidemiological<br />
evidence demonstrated a high association between antisocial<br />
behavior and substance dependence. Therefore, MAOA gene<br />
polymorphism could be linked to substance dependence but no<br />
study has documented its association to cocaine dependence to<br />
date. Polymorphisms at the DRD2 have been reported in many<br />
alcohol-dependent studies. 681 patients who met ICD10<br />
diagnosis <strong>of</strong> cocaine dependence and 756 controls were<br />
genotyped for three SNPs in the MAOA gene (rs 6323, rs<br />
2235185, rs 1137070), one SNP (rs1801028) and one<br />
insertion/deletion polymorphism (rs 1799732) in the DRD2<br />
gene. We observed no significant differences in allele,<br />
genotype, or haplotype frequencies between cases and controls<br />
for any <strong>of</strong> the tested markers. Our study suggests that there is<br />
no association between variants in the MAOA and DRD2<br />
genes and cocaine dependence.<br />
277 GENETIC EPIDEMIOLOGY OF OPIOID<br />
DEPENDENCE IN BULGARIA<br />
A. Todorov* (1), M. Lynskey (1), M. Nikolov (2), O.<br />
Beltcheva (2), R. Kaneva (2), I. Kremensky (2), D.<br />
Krasteva (3), E. Nesheva (3), E. Yankova (4)<br />
1. Washington Univ. Saint Louis 2. Molecular Medicine<br />
Center, S<strong>of</strong>ia, Bulgaria 3. Bulgarian Addictions Institute<br />
4. Initiative for Health Foundation<br />
*todorov@wustl.edu<br />
This ongoing study <strong>of</strong> heroin dependence in Bulgaria is<br />
collecting semi-structured psychiatric assessments and blood<br />
samples from 2,500 injecting drug users 18 years and older<br />
who have used heroin regularly for more than one year. We<br />
present the study methodology and preliminary findings from<br />
the first ~ 1,500 participants. Briefly, 62% <strong>of</strong> participants<br />
agreed to an HIV test with 2.5% <strong>of</strong> samples testing positive<br />
(24 <strong>of</strong> 959) – higher than previous reports for Bulgaria.<br />
Preliminary genotyping is complete for ~1,100 cases and<br />
~1,100 matched controls; for SNPs in OPRM1, DRD2, CRH,<br />
COMT, BDNF, SLC6A4, TPH2 and CLOCK. Controls were<br />
drawn from the population-representative repository at the<br />
National Genetics Laboratory. In OPRM1, we find no<br />
evidence for association with either A118G (rs1799971) or<br />
with rs2075572 (both p > 0.50); but a possible association<br />
with rs932245 in intron 1 (p < 0.01). In other genes, possible<br />
associations include rs3176921, upstream <strong>of</strong> CRH and in<br />
linkage disequilibrium with a block spanning the CRH coding<br />
region (p < 0.01); and with the Val66Met polymorphisms in<br />
BDNF (p = 0.03).Funded by DA018823.
278 ASSOCIATION ANALYSIS BETWEEN<br />
POLYMORPHISMS IN THE<br />
BUTYRYLCHOLINESTERASE (BCHE) GENE AND<br />
COCAINE DEPENDENCE<br />
A. Negrão* (1), A. Pereira (2), R. Laranjeira (3), J. Krieger<br />
(2), H. Vallada (1)<br />
1. Program <strong>of</strong> Genetics and Pharmacogenetics, Department<br />
and Institute <strong>of</strong> Psychiatry, University <strong>of</strong> São Paulo <strong>Medical</strong><br />
School, São Paulo, Brazil 2. Laboratory <strong>of</strong> Genetic and<br />
Molecular Cardiology/LIM-13, Heart Institute (InCor),<br />
University <strong>of</strong> São Paulo <strong>Medical</strong> School, São Paulo, Brazil<br />
3. Alcohol and Drug Research Unit, Psychiatry Department,<br />
Federal University <strong>of</strong> São Paulo, São Paulo, Brazil<br />
* abnegrao@usp.br<br />
Genetic markers in the dopaminergic brain systems are<br />
associated with drug dependence but other biological<br />
pathways can contribute to the susceptibility to this disorder.<br />
Butyrylcholinesterase (BChE) is codified by the BChE gene<br />
and it hydrolyzes cocaine to metabolites with little biologic<br />
activity. Point mutations in the BChE gene have been<br />
described in the general population; some <strong>of</strong> them being<br />
“silent” mutations. BChE has also been tested as a novel<br />
therapeutic agent for cocaine dependence. Brimijoin et al,<br />
2008 demonstrated that a quadruple mutant hydrolase derived<br />
from human butyrylcholinesterase suppressed cocaine toxicity<br />
and abolished drug-primed reinstatement in rats.<br />
Polymorphisms in the BChE gene can lead to different<br />
enzyme pr<strong>of</strong>iles generating individuals with<br />
increased/decreased susceptibility to engage in addictive<br />
behaviors due to varying concentrations <strong>of</strong> cocaine reaching<br />
the reward system in the brain. In this study we hypothesize<br />
that genetic variations in the BChE gene can be risk factos for<br />
cocaine dependence. 681 patients who met ICD10 diagnosis <strong>of</strong><br />
cocaine dependence and 756 controls were genotyped for<br />
three SNPs in the BChE gene (rs1803274, rs4263329,<br />
rs4680662). All markers were in HWE. Genotype differed<br />
significantly for rs4263329 between cases (f(GG)=0,6%) and<br />
controls (f(GG)=1,4%), (p=0.03; ?2=4,48). Genotypes from<br />
the other two markers and allele frequencies did not differ<br />
between cases and controls. No haplotypic effect was<br />
detected. We suggest that the GG genotype in rs 4263329 can<br />
be a protective factor for cocaine dependence. Additional<br />
studies are required to elucidate the role <strong>of</strong> BChE in the<br />
pathophysiology <strong>of</strong> cocaine dependence.<br />
279 CHRM2 GENOMIC REGIONS DIFFERENTIALLY<br />
ASSOCIATE WITH INTERNALIZING AND<br />
EXTERNALIZING COMORBIDITIES IN ALCOHOL<br />
DEPENDENT INDIVIDUALS<br />
D. Kertes* (1), D. Dick (2), C. Prescott (3), K. Kendler (2), B.<br />
Riley (2)<br />
1. University <strong>of</strong> Florida 2. Virginia Commonwealth University<br />
3. University <strong>of</strong> Southern California<br />
*dkertes@gmail.com<br />
Background: Genetic epidemiology studies in psychiatry have<br />
demonstrated that genetic factors contribute to two broad sets<br />
<strong>of</strong> behaviors: externalizing disorders and internalizing<br />
disorders. The muscarinic acetylcholine receptor M2<br />
(CHRM2) is one <strong>of</strong> several genes commonly studied for its<br />
role in alcohol dependence which also show associations with<br />
both internalizing and externalizing comorbidities in this<br />
population. This research aims to identify whether CHRM2<br />
loci differentially associate with comorbid internalizing and<br />
externalizing phenotypes that commonly occur in alcohol<br />
dependent individuals. Method: Lifetime history <strong>of</strong> major<br />
depression (MD), conduct disorder (CD) and antisocial<br />
personality disorder (ASPD) were ascertained via structured<br />
clinical interviews in 552 alcohol dependent individuals. MD,<br />
CD and ASPD symptom counts and diagnoses were associated<br />
with allele frequencies in 20 CHRM2 markers via<br />
regression-based analyses. Results: Results revealed<br />
significant associations for five SNPs with CD symptoms, CD<br />
diagnosis, and ASPD symptoms (.05>p>.001). Three SNPs<br />
showed significant associations with MD symptoms or<br />
diagnosis (.05>p>.01). Examination <strong>of</strong> LD structure revealed<br />
that MD and CD/ASPD phenotypes were associated with<br />
markers in different genomic regions that were consistent with<br />
previous reports <strong>of</strong> association with externalizing and<br />
internalizing phenotypes. Conclusions: Both MD and<br />
CD/ASPD phenotypes in alcohol dependent individuals are<br />
associated with SNP variants in CHRM2 and are distinctly<br />
associated with different genomic regions <strong>of</strong> CHRM2. These<br />
results suggest variants in different genomic regions in<br />
CHRM2 predict liability to different comorbid conditions in<br />
alcohol dependent individuals.
280 INTRONIC SNP FROM DRD2 GENE AND DRD2<br />
HAPLOTYPES, ASSOCIATED WITH ALCOHOLISM<br />
IN RUSSIANS<br />
M. Monakhov* (1), T. Lezheiko (2), S. Borozdina (2), O.<br />
Evdokimova (2), V. Golimbet (2)<br />
1. Engelhardt Institute <strong>of</strong> Molecular Biology, Russian<br />
Academy <strong>of</strong> Sciences, Moscow, Russia 2. Mental Health<br />
Research Center, Russian Academy <strong>of</strong> <strong>Medical</strong> Sciences,<br />
Moscow, Russia<br />
* misha.monahov@gmail.com<br />
Introduction: Dopamine receptor type 2 gene has long been<br />
studied as a candidate for addictive behaviors, including<br />
alcoholism. We present results <strong>of</strong> an association analysis <strong>of</strong><br />
alcoholism sample from Russian population. Five SNPs from<br />
DRD2 as well asVal/Met COMT polymorphism were<br />
investigated. Methods: Case sample consisted <strong>of</strong> 208 alcoholic<br />
patients, diagnosed according to criteria <strong>of</strong> ICD-10.Data on<br />
the amount <strong>of</strong> daily alcohol consumption, typical duration <strong>of</strong><br />
hard drinking periods and remission periods, parental age at<br />
birth, tobacco smoking, life stress events were collected.<br />
Control sample included 366 healthy volunteers with no<br />
history <strong>of</strong> mental disorders. DRD2 polymorphisms rs1800498,<br />
rs1801028, rs6275, rs6277, rs1800497 and COMTVal158Met<br />
were analyzed. Genotyping was performed with 5’-nuclease<br />
assay. Results and discussion: We have found an association<br />
between alcoholism affection status and intronic SNP<br />
rs1800498from DRD2 gene (chisq=5.53 df = 1 p=0.019) as<br />
well as with haplotypes containingthis polymorphism (chisq=<br />
17.03 df = 6 p=0.009). rs1800498 was also associated with<br />
duration <strong>of</strong>hard drinking periods (F(2, 173)=3.37, p=0.037).<br />
Statistically significant result was found fora two-SNP<br />
haplotype (rs1801028-rs1800497) and alcoholism in female<br />
subsample (chisq= 11.7 df = 3 p=0.0085).These data, obtained<br />
by the study <strong>of</strong> novel sample, add up to the pool <strong>of</strong> findings <strong>of</strong><br />
DRD2gene role in alcohol dependence. The same SNP is<br />
associated with schizophreniaand altruistic behavior according<br />
to our previous research that may point to its functional<br />
effect.<br />
281 NETWORK ANALYSIS OF CANDIDATE GENES<br />
OF ALCOHOL CONSUMPTION<br />
A. Lourdusamy* (1), G. Schumann (1)<br />
1. Institute <strong>of</strong> Psychiatry, King's College London<br />
* anbarasu.lourdusamy@kcl.ac.uk<br />
Microarray analyses <strong>of</strong> brain gene expression in several rodent<br />
models for excessive alcohol consumption have identified<br />
candidate genes that underlie the genetic predisposition to<br />
drink alcohol. Although the mechanism <strong>of</strong> these candidate<br />
genes is being explored in human, little is known about the<br />
molecular relationship between them. Here, we set out to<br />
systematically analyze the complex effects <strong>of</strong> interrelated<br />
genes and provide a framework for revealing their<br />
relationships in association with alcohol consumption. The<br />
alcohol network is composed <strong>of</strong> 29 human homologs <strong>of</strong><br />
proteins known to be involved in excessive alcohol<br />
consumption in mice, and 183 additional human proteins that<br />
interact with these human homolgos. Overall, the network<br />
consists <strong>of</strong> 416 binary interactions among 212 unique proteins.<br />
We observed that human protein-protein interaction networks<br />
associated with alcohol consumption have a power-law<br />
connectivity distribution as many other biological networks<br />
have. These proteins are strongly interconnected and in turn<br />
form 10 sub-networks which comprise over 50% <strong>of</strong> candidate<br />
genes. Among candidate target genes associated with alcohol<br />
consumption, the genes including, PTPN11, GNB1, PSMB7,<br />
B2M, THRA, and GRIA1 have high connectivity (hubs). The<br />
hub nodes and sub-networks are consistent with the prior<br />
knowledge about alcohol consumption. In particular, PTPN11<br />
appears to play a very important role in the alcohol network<br />
through frequent interactions with key proteins in cellular<br />
signaling. This network-based approach represents an<br />
alternative method for analyzing the complex effects <strong>of</strong><br />
alcohol candidate genes.
282 DOPAMINE D4 RECEPTOR GENE: POSSIBLE<br />
INFLUENCE ON ATTENTION DEFICIT<br />
HYPERACTIVITY DISORDER IN BRAZILIAN<br />
POPULATION<br />
G.C. Akutagava-Martins (1), G. Ferraz (1), J.P. Genro (1), G.<br />
Polanczyk (2), C. Zeni (3), M. Schmitz (3), LAP Rohde (3),<br />
MH Hutz (1), T. Roman* (1)<br />
1. Department <strong>of</strong> Genetics, Federal University <strong>of</strong> Rio Grande<br />
do Sul, Brazil 2.Department <strong>of</strong> Psychology and Neuroscience,<br />
Duke University, USA 3. Department <strong>of</strong> Psychiatry and Legal<br />
Medicine, Federal University <strong>of</strong> Rio Grande do Sul, Brazil.<br />
*troman29@yahoo.com.br<br />
The dopamine D4 receptor gene (DRD4) is one <strong>of</strong> the most<br />
investigated genes in Attention deficit/hyperactivity disorder<br />
(ADHD) and has already been accepted as a susceptibility<br />
gene. The aim <strong>of</strong> present study was to search for a possible<br />
association between ADHD and the 120 bp tandem<br />
duplication <strong>of</strong> promoter region, the SNPs -616C>G (rs747302)<br />
and -521C>T (rs1800955) and the 48 bp VNTR <strong>of</strong> DRD4 gene<br />
in a Brazilian sample composed by 488 ADHD children and<br />
adolescents, diagnosed according to DSM-IV criteria, and<br />
their biological parents. The 120 bp tandem duplication and<br />
the 48 bp VNTR were genotyped by PCR, while the SNPs -<br />
616C>G and -521C>T were genotyped by PCR-RFLP. The<br />
possibility <strong>of</strong> linkage disequilibrium among the studied<br />
polymorphisms was tested using MLocus s<strong>of</strong>tware. The<br />
hypothesis <strong>of</strong> association was verified using FBAT s<strong>of</strong>tware.<br />
There was no evidence <strong>of</strong> association between each<br />
polymorphism and ADHD for the whole sample (P values<br />
ranging from 0.200 to 0.974). However, when the analysis was<br />
restricted to families where the proband presented the<br />
combined type <strong>of</strong> the disorder, the VNTR 2R allele was<br />
preferentially not transmited (P=0.033). Haplotype analyses<br />
did not show any association (P values ranging from 0.063 to<br />
0.977). The supposed protective effect <strong>of</strong> 2R allele observed<br />
herein is intriguing. This result must be interpreted cautiously<br />
and investigated through other approaches, as dimensional<br />
analyses. It is also possible that the findings, divergent from<br />
the literature, are due to DRD4 structural complexity, which<br />
should be understood to better characterize its association with<br />
ADHD.
AUTHOR INDEX
Aarts, Esther 2<br />
Abeles, Michael 242<br />
Åberg, Elin O9.1<br />
Aberg, Karolina O2.6<br />
Abou Jamra, Rami O12.2, 149<br />
Abraham, Richard O17.1<br />
Acheson, Ruth 6<br />
Acierno, Ron 110<br />
Adati, Naoki O1.4<br />
Ades, AE 93<br />
Adkins, Daniel E. O2.6, 23<br />
Adolfsson, Rolf O7.3, 52, 122, 136<br />
Affonseca-Bressan, 170<br />
Rodrigo<br />
Agan, Noelle 106<br />
Agartz, Ingrid 53, 64<br />
Aggen, Steven S16.7<br />
Agrawal, Arpana S16.2, S16.3,<br />
S16.4, S16.6,<br />
S16.7<br />
Ågren, Hans O10.1, O10.5<br />
Ahmankhaniha,<br />
Hamidreza<br />
97<br />
Ahn, Yong-Min 47<br />
Aitchison, Katherine J S1.1, O1.3, O2.5,<br />
O7.4, O11.1,<br />
O15.2, 143, 164,<br />
190<br />
Akelai, A. O12.4<br />
Akiskal, Hagop S14.2, O7.6<br />
Akiyama, Tsuyoshi 177<br />
Akula, Nirmala ECI 19, S14.4,<br />
O2.2, O5.5, 127,<br />
163<br />
Alaerts, Maaike 52, 122<br />
Alatrouny, Mohamed 243<br />
Alblas, Margrieta 119<br />
Albrecht, E 114<br />
Albu, Crenguta 34<br />
Albu, Dinu 34<br />
Albus, M 245<br />
Al-Chalabi, Ammar O17.1<br />
Alda, Martin O9.4, 162<br />
Aleksic, Branko 176, 209, 220,<br />
221, 222<br />
Alexander, Michael O9.2, 245<br />
Alho, Hannu 189<br />
Ali, Jeffrey 137<br />
Aliev, Fazil S16.7, O16.2, 117<br />
Alizadeh, Behrooz 81<br />
Alkelai, A. 233<br />
Allardyce, Judith O11.2<br />
Allgulander, Christer 30<br />
Alliey, Ney 180<br />
Allin, Matthew 236<br />
Almasy, Laura S12.4, S12.5,<br />
S16.6, S16.7, ECI<br />
13, ECI 18, 76<br />
Alonso, Yolanda 248<br />
Alphs, Larry 199<br />
Als, Thomas D. O1.1<br />
Alth<strong>of</strong>f, Robert S8.1<br />
Amankwa, Susan 236<br />
Amann-Zalcenstein,<br />
D.<br />
O12.4<br />
Ambler, Antony O9.7<br />
Amdur, Richard ECI 3, 179, 223<br />
Amin, Farooq 115<br />
Amir, Nurmiati 57<br />
Amstadter, Ananda 110<br />
An, Seon-Sook O3.5<br />
Anand, Sonia O10.2<br />
Ancoli-Israel, Sonia 56<br />
Andersen, Johan O8.1, 39<br />
Andersson, Gerhard O3.1<br />
Andreassen, Ole 53, 64<br />
Andresen, Michael S10.2<br />
Andriuskeviciute, 109<br />
Irena<br />
Angelo, Gary W. 71<br />
Anjorin, Adebayo ECI 17, O2.1, 59,<br />
156<br />
Anney, Richard P4.6, 16, 21, 36,<br />
48, 258<br />
Anton, Eva S. 25<br />
Arcos-Burgos,<br />
Mauricio<br />
O11.6<br />
Ardau, Raffaella 162<br />
Arias Vasquez,<br />
Alejandro<br />
O8.3<br />
Arima, Kunimasa 66<br />
Arinami, Tadao 215<br />
Aristotle, Aristotle 191<br />
Arnold, Paul S10.1, S10.4,<br />
S10.5<br />
Arranz, Maria 83<br />
Aryee, Martin S2.2<br />
Aschauer, Harald N. 152<br />
Asherson, Philip 3, 9, 11, 24, 59<br />
Athanasiu, Lavinia 53<br />
Athie, Maria Carolina 75<br />
Aukes, Maartje 81<br />
Aulchenko, Yuri 147<br />
Autism Genome 36<br />
Project, The<br />
Austin, Jehannine P2.2, 43, 107<br />
Ayub, Muhammad ECI 15, 173<br />
Azzam, Amin S10.6<br />
Babatz, Timothy D. ECI 12<br />
Bachner-Melman,<br />
Rachel<br />
91<br />
Backlund, Lena O10.1, O10.5<br />
Badner, Judith S2.3, S2.5, 98,<br />
157, 180<br />
Bailey, Julia 65<br />
Bailey, Mark 45<br />
Baji, Ildikó 50<br />
Baker, Tim ECI 7<br />
Bakken, Trygve 64<br />
Bakker, Steven C. 227, 234<br />
Balachandar,<br />
218<br />
Vellingiri<br />
Balazic, Joze 49<br />
Ballinger, Dennis O16.4<br />
Banaschewski, Tobias 11<br />
Bannasch, Danika 22<br />
Bannen, Ryan 135<br />
Bansal, Vikas S13.5<br />
Barenboim, Maxim 252<br />
Barichello, Tatiana 75<br />
Barnes, Michael O1.3, O7.4, O11.1<br />
Barr, Cathy O14.3, 50, 95,<br />
171, 202<br />
Barrett, Thomas 157<br />
Barry, Edwina 4, 6, 10<br />
Barth, Alexander 120<br />
Bartling, Jürgen 174<br />
Baruch, Kuti 126<br />
Basmanav, F. Buket O8.2, O9.2<br />
Bass, Nick J ECI 17, O2.1,<br />
O17.1<br />
Batra, Anil 197<br />
Bayes, Monica 7, 8, 9<br />
Beardsley, Patrick M. O2.6<br />
Becker, Jessica 174<br />
Beckmann, J.S. O12.4<br />
Beevers, Christopher<br />
G.<br />
58<br />
Behm, Frederique 183<br />
Beitchman, Joseph 172<br />
Bell, Maureen 208<br />
Bellgrove, Mark 12, 84<br />
Belmonte, Pamela S14.1, S14.3, 154,<br />
157, 263<br />
Belmonte-de-Abreu,<br />
Paulo S.<br />
14<br />
Beltcheva, Olga 277<br />
Benák, István 50<br />
Ben-Asher, E. O12.4<br />
Benson, Gary 135<br />
Bergen, Andrew S13.2, S13.4,<br />
S13.5, O16.4<br />
Bergen, Sarah ECI 3, 223, 261<br />
Bergstrom, Jan O3.1<br />
Berlo, Jacques 140<br />
Bernard, Lerer 206<br />
Berner, Michael 197<br />
Berrettini, Wade S13.1, S13.2,<br />
S13.5, 138, 157<br />
Berry, Erin M. S15.5<br />
Bertolucci, Paulo 73<br />
Bertram, David S6.3<br />
Bertuzzi, Guilherme P. 14<br />
Berwaerts, Joris 199<br />
Besnyo, Márta 50<br />
Bespalova, Irina N. 71<br />
Bettecken, Thomas S1.4<br />
Beveridge, Natalie S7.2<br />
Bevilacqua, Laura O1.7<br />
Bevova, Marianna S4.1, S4.5<br />
Biechele, Travis S15.5<br />
Bielsa, Anna 8<br />
Bierut, Laura S16.1, S16.2,<br />
S16.3, S16.4,<br />
S16.5, S16.6,<br />
S16.7, ECI 7, 138<br />
Bigdeli, Tim ECI 3<br />
Bilder, Robert 242<br />
Bilkei-Gorzo, Andras O12.2, 120<br />
Binder, Elisabeth B. S1.4, O2.5, O3.2,<br />
O15.1, 30<br />
Binder, Elke O2.5, O3.2<br />
Bipolar Genome Study S9.4, S14.2,<br />
(BiGS)<br />
S14.3, O5.5, O7.5,<br />
O7.6, O11.4, ECI<br />
14, ECI 19, 127,<br />
166, 263, 283<br />
Birn, F. O6.2<br />
Bishop, Jeffrey S11.3<br />
Bishop, John S13.5<br />
Bitter, István 234<br />
Bizarro, Lisianne 24<br />
Björk, Karl 92<br />
Black, Donald W. 115
Blackwood, Douglas O1.1, O5.1, 208,<br />
216, 237<br />
Blangero, John S12.3, S12.4,<br />
S12.5, ECI 13, 76,<br />
240<br />
Bleotu, Coralia 149<br />
Bliziotes, Michael S11.4<br />
Bloch, Paul J. 41<br />
Bloss, Cinnamon S13.1, S13.2,<br />
S13.5, 64, 157,<br />
169, 259<br />
Blum, Kenneth 182<br />
Bochdanovits, Zoltan S4.1, S4.4, S4.5<br />
Bockholt, H.Jeremy O6.2<br />
Bogue, Molly 23<br />
Boks, Marco O11.2<br />
Bollen, Joseph 140<br />
Bonaguro, Russell J. S3.5<br />
Bonde, Jens Peter 39<br />
Bondy, Brigitta S1.4<br />
Bonsall, Robert 79<br />
Boomsma, Dorret S4.5, S8.1, 114,<br />
147<br />
Boretti-Hummer,<br />
Andrea<br />
7, 9<br />
Borgå Johansen, 18<br />
Espen<br />
Børglum, Anders D. O1.1, O8.1, 27,<br />
39, 212, 214<br />
Borozdina, Svetlana 280<br />
Bosch, Rosa 7, 8, 9<br />
Bousman, Chad S6.2, 213<br />
Boyd, Simeon 22<br />
Bozdagi, Ozlem O13.1<br />
Bradley, Bekh 79<br />
Bradshaw, John 6<br />
Bradwejn, Jacques 178<br />
Braff, David 207, 249<br />
Brain, Ursula 43<br />
Bramon, Elvira 83, 236<br />
Brandt, John O2.4<br />
Braverman, Eric 182<br />
Bray, Nick 72, 253<br />
Brayne, Carol O17.1<br />
Breen, Gerome S7.1, O1.3, O7.4,<br />
O11.1, O11.5,<br />
O17.4, 143, 164,<br />
170<br />
Bremner, Rod 95<br />
Brentani, Helena ECI 8<br />
Breslau, Naomi S16.5, ECI 7<br />
Breuer, Rene S14.3, S14.4,<br />
O5.5, O8.2, O9.2,<br />
119, 160<br />
Briones Velasco,<br />
Magdalena<br />
ECI 5<br />
Brizendine, Edward ECI 14<br />
Brockschmidt, Felix 174<br />
Brodkin, Edward S. 41<br />
Brookes, Keeley 4, 10<br />
Brotman, Melissa 163<br />
Brouwer, Rachel M. 85<br />
Brown, Sarah 208<br />
Bruce, Heather 135<br />
Bruder, Jennifer 174<br />
Brueckl, Tanja O15.1, 100, 101<br />
Bruining, Hilgo O13.3, O13.4<br />
Brunner, Han O8.3<br />
Bu, Youngmin 70, 134<br />
Buccola, Nancy G. 115<br />
Buch, Helle 39<br />
Bucholz, Kathleen S16.1, S16.3<br />
Buitelaar, Jan O4.2, 2, 3, 7, 9, 11<br />
Bukszar, Jozsef O2.6, 42<br />
Bundo, Miki O1.4, 94<br />
Bunge, Silvia A. ECI 4<br />
Bunney, William E. O7.3<br />
Buonocore, Federica 72, 253<br />
Burdick, Katherine S9.2, O8.6, 167<br />
Burmeister, Margit S6.4, 128, 129<br />
Burton, Cynthia 242<br />
Busatto, Geraldo 104, 113<br />
Butler, Amy W S1.1, O1.3, O7.4,<br />
O11.1, 143<br />
Buttenschøn, Henriette O1.1, O 8.1, 39<br />
N.<br />
Buttigieg, Neil O4.4, 19<br />
Buxbaum, Joseph O12.5, O13.1<br />
Buzas,, Beata 167<br />
Byerley, William F. 115, 157<br />
Byrnes, Andrea 25<br />
Caballero, Alejandro 108<br />
Cadenhead, Kristin 207, 249<br />
Cadigan, Jennifer 283<br />
Caesar, Sian O10.3<br />
Cagliani, R. O12.4<br />
Cahn, Wiepke O11.2, 227, 260<br />
265<br />
Cai, Xueya ECI 14<br />
Cairns, Murray S7.2<br />
Calarge, Chadi S11.4<br />
Calati, Raffaella 140<br />
Calhoun, Vince O6.2<br />
Caligiuri, Michael S6.3<br />
Calkins, Monica 249<br />
Camarena, Beatriz 108<br />
Cannon, Ronald O5.2<br />
Capogna, Michael O5.4<br />
Cappi, Carolina ECI 8<br />
Cardenas-Godinez,<br />
Marcela<br />
ECI 5<br />
Cardone, Laura 208<br />
Carless, Melanie S12.4, S12.5, ECI<br />
13, 76<br />
Carmine Belin, 142<br />
Andrea<br />
Carr, Kenneth O1.6<br />
Carroll, Adam S7.2<br />
Carroll, Liam O12.1, 247<br />
Casas, Miguel 7, 8, 9<br />
Caspi, Avshalom O9.7<br />
Cate-Carter, Tasha 171<br />
Cath, Danielle S10.1, S10.2,<br />
S10.3, S10.4,<br />
S10.7<br />
Cavallini, Maria S10.4<br />
Cristina<br />
Celestrin, Kevin O1.6<br />
Cervilla, Jorge 28<br />
Ceulemans, Shana 52, 122<br />
Chambers,<br />
84<br />
Christopher<br />
Chana, Gursharan S6.2, 213<br />
Chandler, Sharon S6.2, 213<br />
Chang, Byung-Eun 70<br />
Chang, Chien Ching 87, 235<br />
Chapagain, Ram Hari 240<br />
Charlesworth, Jac C S12.4<br />
Chavira, Denise S10.6<br />
Chen, Chao S2.3, S2.5, O8.4,<br />
98<br />
Chen, David ECI 19<br />
Chen, Guo-Lin 68<br />
Chen, Haiming 128, 129<br />
Chen, Hsin-I S6.4, 268, 269,<br />
272<br />
Chen, Jen-Yeu O8.4<br />
Chen, LiShiun S16.4, S16.5, ECI<br />
7<br />
Chen, Peining O2.4<br />
Chen, Suephy 67<br />
Chen, Xiangning O3.5, 42, 179<br />
Cheng, Lijun S2.3, S2.5, 98<br />
Cheng, Min-Chih O8.4<br />
Chiesa, Alberto 185<br />
Chillotti, Caterina 162<br />
Cho, Ah Rang 254<br />
Choi, Jung-Eun 151, 195, 196, 200<br />
Choi, Kyung Sook 46<br />
Chorlian, David ECI 18<br />
Chow, Tze Jen ECI 1, 217, 226<br />
Chowdari, Kodavali 243<br />
Christensen, Jane<br />
Hvarregaard<br />
212, 214<br />
Christensen, Kenneth O1.1<br />
V.<br />
Christian, Susan L. ECI 12<br />
Chung, Hedy 199<br />
Chung, Joo Ho 254<br />
Chung, Myeon-Woo 133<br />
Cichon, Sven S14.3, S14.4,<br />
O5.5, O8.2, O9.2,<br />
O11.6, 119, 148,<br />
149, 160, 197<br />
Cloninger, C. Robert S16.3, 115<br />
Cochrane, Lynne 125<br />
COGA S16.1, S16.3,<br />
S16.6, S16.7, ECI<br />
18, 90<br />
COGEND S16.1, S16.3,<br />
S16.7<br />
Coghill, David 4<br />
Cohen, Andrew 62<br />
Cohen, D 245<br />
Cohen, Nadine 199<br />
Cohen-Woods, Sarah S1.1, O1.3, O7.4,<br />
O11.1, 143, 152,<br />
285<br />
Cojocaru, Mariana 34<br />
Cole, James 285<br />
Coleman, Michael 80<br />
Coleman, Vegas ECI 14<br />
Collier, David S5.2, S7.1, S15.1,<br />
O11.5, O15.2, 83,<br />
153, 236<br />
Colombo, Elisa 188<br />
Colombo, Roberto 188<br />
Condie, Alison O5.2<br />
Congiu, Donatella 162<br />
Consortium on<br />
Lithium Genetics<br />
(ConLiGen)<br />
O9.4<br />
Constante, Miguel 83<br />
Contini, Verônica 14<br />
Contreras, Javier 141<br />
Cook, Ed S10.5, 61
Cools, Roshan 2<br />
Cooper, Jon 72<br />
Corbett, Blythe A. ECI 4<br />
Cordeiro, Quirino ECI 8<br />
Corina, Benjet ECI 5<br />
Cormand, Bru O9.6, 3, 5, 7, 8, 9<br />
Cormican, Paul 125<br />
Correia-Pinto, Julien 75<br />
Cortes, M Jose O6.4<br />
Corvin, Aiden S3.1, S9.1, O12.1,<br />
O15.3, 48, 125<br />
Corydon, Thomas J. 214<br />
Coryell, William S11.4, 157<br />
Cosentino, C. 233<br />
Cox, Nancy S10.3<br />
Cozzi, P. O12.4, 233<br />
Craddock, Nicholas S14.5, O1.3, O5.3,<br />
O7.4, O10.3,<br />
O12.1, O12.5,<br />
102, 143, 160,<br />
210, 285<br />
Craig, David S2.3, 157<br />
Craig, Ian W. S1.1, O1.3, O2.5,<br />
O7.4, O11.1,<br />
O15.2, 143, 152,<br />
164, 190<br />
Craig, Thomas 211<br />
Crane, Jacquelyn S10.3<br />
Crepel, An O13.2<br />
Crespo, José M. 40<br />
Crowley, James O12.3, 23, 25, 229<br />
Cubells, Joseph P4.7, 79<br />
Cuccaro, Michael O3.3, O17.2<br />
Cummins, Tarrant 84<br />
Curran, Joanne S12.4, S12.5, ECI<br />
13, 76<br />
Curtis, David O2.1, ECI 17<br />
Czerski, Piotr 190<br />
Czobor, Pál 234<br />
Dackor, Jennifer 25<br />
Dagdan, Elif 168<br />
Dahl, Hans Atli 27<br />
Dáibhis, Aoife 6<br />
Dal Fiume, C. O12.4<br />
Dale, Anders 64<br />
Daly, Mark 262<br />
Dapretto, Mirella 88<br />
Daróczi, Gabriella 50<br />
DasBanerjee, Tania S8.2, S8.3, 18<br />
Davey Smith, G 32, 93, 114<br />
David, Anthony O15.2<br />
Davies, Charlotte O4.4, 19<br />
Davies, Gail 74<br />
Davis, Jeremy S6.3<br />
Dazzan, Paola O15.2, 211<br />
de Geus, Eco S4.5, S8.1, 147<br />
de Haan, Marcel S10.7<br />
de Jong, Pieter 26<br />
de Jonge, Maretha O13.4<br />
de Kloet, E.R. 60<br />
de La Bastide, Melissa 208<br />
de la Marche, Wouter O13.2, 31, 33<br />
de la Portilla, Sonia O6.4<br />
de Leeuw, Charles N. S3.5<br />
de Luca, Vincenzo 191, 244<br />
de Quervain,<br />
Dominique<br />
255, 256<br />
de Rijk, Peter 136<br />
de Ronchi, Diana 44, 140, 185, 186,<br />
188<br />
de Saloma, Andiara 170<br />
de Sonneville, Leo O13.4<br />
de Zutter, Sonia 52<br />
Deary, Ian O5.2, 74, 208<br />
Dechairo, Bryan 15, 17<br />
Deckert, Juergen 30<br />
Dedman, Alexandra O2.1, 156<br />
Degenhardt, Franziska 119, 160<br />
Del Zompo, Maria 162<br />
Deleuran, Thomas O1.1<br />
Del-Favero, Jurgen 52, 122, 136, 237<br />
DeLisi, Lynn E. 135<br />
Deloukas, Panos O17.1<br />
Delucchi, Kevin S10.2, S10.7<br />
Demirkan, Ayse 147<br />
Demontis, Ditte O8.1, 212<br />
Dempster, Emma O9.5, O14.3,<br />
O14.5, 202, 236<br />
Deng, Hong-Wen 204<br />
Deng, Xiaoyan 184<br />
Dennis, J. Michael 115<br />
Denys, Damiaan S10.2, S10.4,<br />
O11.6<br />
DeRijk, R.H. 60<br />
Derks, Eske O11.2, 260, 265<br />
DeRosse, Pamela S9.2, O8.6, 167<br />
Derringer, Jaime S16.2, S16.4,<br />
S16.6, ECI 10<br />
Desrivieres, Sylvane O14.1<br />
Detera-Wadleigh,<br />
Sevilla<br />
S14.4, O2.2<br />
DeVane, Lindsay S11.2<br />
Devlin, Angela 43<br />
Devlin, Bernie 118, 243<br />
Devriendt, Koen O13.2<br />
Di Forti, Marta O15.2, 105<br />
Diaconu, Carmen C. 149<br />
Diaz Lacava, Amalia 120<br />
Dick, Danielle S16.1, S16.3,<br />
S16.4, S16.6,<br />
S16.7, O14.1,<br />
O16.2, O16.3,<br />
117, 279<br />
Dickinson, Dwight O6.3<br />
Dike, Craig S6.3<br />
Dikeos, D 245<br />
Diniz, Breno 73<br />
Diniz, Mateus 170<br />
Ditzen, Claudia S6.1<br />
Djurovic, Srdjan 53, 64<br />
Doan, Bridget S10.5<br />
Dobie, Dorcas 249<br />
Dobyns, William B. ECI 12<br />
Docherty, Sophia O9.5, 77<br />
Doheny, Kimberly S16.1, S16.3,<br />
S16.4<br />
Dombovári, Edit 50<br />
Domschke, Katharina S1.4, 30<br />
Donohoe, Gary S3.1, S9.1<br />
Doody, Gillian 211<br />
Dorst, Marieke 31<br />
Doud, Mary Kathryn S15.5<br />
Doudney, Kit 184<br />
Downing,<br />
AnnCatherine<br />
O2.4<br />
Downs, B. William 182<br />
Drago, Antonio 44, 186<br />
Dreolini, Lisa S3.5<br />
Drews, Eva 120<br />
Drgon, Tomas 183, 273<br />
Druid, Henrik 230<br />
Duan, Jubao 115, 245<br />
Ducci, Francesca O16.1, ECI 2, 105<br />
Dudbridge, F 245<br />
Duggirala,<br />
Ravindranath<br />
S12.4, S12.5, ECI<br />
13, 76<br />
Duncan, Laramie 103<br />
Dutt, Anirban 83, 236<br />
Dwyer, Sarah O12.1, 210<br />
Dyer, Thomas D. S12.4, S12.5, ECI<br />
13, 76<br />
Ebstein, Richard 11, 91<br />
Edenberg, Howard S16.1, S16.2,<br />
S16.3, S16.4,<br />
S16.6, S16.7, ECI<br />
14, ECI 18, 90,<br />
138, 157<br />
Edman, Gunnar O10.1, O10.5<br />
Egan, Michael O6.3<br />
Eggermann, Thomas 86<br />
Ehlers, Cindy 275<br />
Ehringer, Marissa 69<br />
Eissa, Ahmed 243<br />
Ekwall, Karl 92<br />
Elassy, Mai 243<br />
Elbert, Adrienne 171<br />
El-Boraie, Hala 243<br />
Eley, Thalia C. 144<br />
Elfving, Betina 214<br />
Elkin, Amanda O1.3, 190<br />
Ellingrod, Vicki S11.1, S11.4<br />
Elliott, Paul ECI 2<br />
Elliston, Lynne 247<br />
Elston, Robert C. 148<br />
ENGAGE Handedness 114<br />
Consortium, The<br />
Engert, James O10.2<br />
Erhardt, Angelika O3.2, 30<br />
Eriksson, Elias 30<br />
Erpe, Mariano ECI 14<br />
Escaramís, Geòrgia 40<br />
Eskin, Eleazar 157<br />
Esko, T. 114<br />
Esposito-Smythers,<br />
Christianne<br />
62<br />
Estivill, Xavier 8, 40<br />
Eubank, James O14.3<br />
Evans, DM 114<br />
Evans, Emma O4.4, 19<br />
Evans, Kathy 208<br />
Evdokimova, Oksana 280<br />
Everall, Ian S6.2, S7.3, 213<br />
Evgrafov, Oleg 239<br />
Fagerness, Jes S10.3, S10.4,<br />
S10.5, 61<br />
Fallin, MD 245<br />
Fallon, James 63, 238<br />
Fann, Cathy S-J 87, 205, 235<br />
Fanous, Ayman 42, 179, 223, 261
Faraone, Stephen S6.3, S8.1, S8.2,<br />
S8.3, 3, 9, 11, 15,<br />
17, 18, 118<br />
Farmer, Anne E. S1.1, O1.3, O2.5,<br />
O5.3, O7.4,<br />
O11.1, O11.5,<br />
102, 143, 164,<br />
190, 285<br />
Fasmer, Ole Bernt S14.2, 9<br />
Fathi, Warda 243<br />
Favis, Reyna 199<br />
Fearon, Paul 211<br />
Feier, Gustavo 75<br />
Feiler, Heidi 275<br />
Feinberg, Andrew P3.1, S2.2<br />
Feng, Guoping O3.3, O6.6<br />
Feng, GuoYin O3.3, 38<br />
Feng, Ningping O6.3<br />
Feng, Yu O14.3, 50, 95, 171<br />
Fennell, Alanna 173<br />
Fernandez, Cathy O13.3<br />
Fernandez, Guillen O8.3<br />
Ferraro, Thomas N. 41<br />
Ferraz Alves, Tania 113<br />
Ferrier, Nicol O5.3, O10.3<br />
Filges, Isabel 256<br />
Filiou, Michaela S6.1<br />
Fisher, Helen O15.2, 211<br />
Fisher, Sherri S16.3<br />
Flint, Jonathan O3.5<br />
Flint, Tracey J O1.1, O8.1<br />
Flodman, Pamela O5.1<br />
Flores, Deborah 141<br />
Foldager, Leslie O1.1<br />
Forero, Diego 52, 122<br />
Forlenza, Orestes 73<br />
Foroud, Tatiana S16.6, ECI 14,<br />
ECI 18, 90, 157<br />
Forsell, Yvonne O1.2, O7.3, O9.1<br />
Forstner, Andreas J. O8.2, O9.2<br />
Fox, Helen 74<br />
Fox, Louis S16.3, S16.5<br />
Fox, Peter T S12.4<br />
Frangou, Sophia 153<br />
Frank, Christopher L. S15.5<br />
Frank, Josef 197<br />
Franke, Barbara O4.2, O8.3, O9.6,<br />
2,3,5,7, 9, 11<br />
Franke, Thomas O1.6<br />
Franti, Lindsay 89<br />
Fraser, Christine O10.3<br />
Freedman, Robert 115, 249<br />
Freeman, Natalie 202<br />
Freimer, Nelson S10.3, ECI 2<br />
Freitag, Christine O4.1<br />
Freudenberg, Jan O9.2<br />
Frisen, Louise O10.1, O10.5<br />
Fryland, Tue 214<br />
Fryns, Jean-Pierre O13.2<br />
Fu, Cynthia 285<br />
Fu, Dong-Jing 199<br />
Fuchs, Karoline 152<br />
Fujii, Takashi 66<br />
Fukuhara, Chiaki 67<br />
Fukunaka, Yuko 268, 269, 272<br />
Fumagalli, M. O12.4<br />
Furney, Simon O17.4<br />
Gaafar, Hanan 243<br />
Gádoros, Julia 50<br />
Gage, Fred P1.1<br />
Galea, Sandro 110<br />
Gallagher, Louise O15.3, 258<br />
Galter, Dagmar 142<br />
Ganda, Clarissa 57<br />
Gao, Cheng-Ge 204<br />
Gardiner, Erin S7.2<br />
Gargus, Jay O5.1<br />
Garrido, Helena S10.6<br />
Garriock, Holly S1.2<br />
Gastaminza, Xavier 8<br />
Gates, Amy 125<br />
Gattaz, Wagner 73, 75, 198<br />
Gaudi, Simona 238<br />
Gaysina, Dasha 285<br />
Ge, Dongliang O11.3, 254<br />
Ge, Xuecai S15.5<br />
Gejman, Pablo V. 115, 245<br />
Gelernter, Joel 110<br />
GENEVA S10.3, S16.1,<br />
S16.2, S16.3,<br />
S16.6, S16.7<br />
Genro, Julia 13<br />
George, Charles J. 202<br />
Georgieva, Lyudmila O12.1, O12.5<br />
Gerrish, Amy O17.1, 247<br />
Gershon, Elliot S2.3, S2.5, S5.3,<br />
127, 157, 180<br />
Geschwind, Daniel 94<br />
Geyer, Mark S6.3, 146, 207<br />
Ghadiri, Mohammad 97, 158<br />
Giacometti, Emanuela S3.6<br />
Gibbs, Anne 80<br />
Gibbs, Richard O12.3<br />
Giegling, Ina O12.1, 186<br />
Gilbert, Donald L. ECI 4<br />
Gilder, David 275<br />
Gilks, Will 125<br />
Gill, Michael S3.1, S9.1, O12.1,<br />
O17.1, 4, 6, 10,<br />
11, 12, 16, 21, 48,<br />
125, 143, 258<br />
Gillespie, Charles 79<br />
Giltay, E.J. 60<br />
Girardi, Paolo 153<br />
Gizer, Ian 275<br />
Gladwin, Thomas 260, 265<br />
Glahn, David S12.4, S12.5, ECI<br />
13, 76<br />
Glaser, B 32, 93<br />
Glatt, Stephen S6.2, 82, 213<br />
Glessner, J 32<br />
Goate, Alison S16.3, S16.5,<br />
O17.1, ECI 7<br />
Goenjian, Armen 65<br />
Goes, Fernando 150<br />
Gogos, Joseph A. S3.4<br />
Golding, J 32<br />
Goldman, David O1.7, O16.1, 167<br />
Goldman, Lynn R O16.1<br />
Goldstein, David O11.3, 254<br />
Golimbet, Vera 280<br />
Gomez, Lissette O14.3, 171<br />
Gómez-Barros, Nuria 8<br />
Gomez-Sanchez,<br />
Ariadna<br />
ECI 5<br />
Gonzalez, Laura 108<br />
Goodman, Marianne O1.7<br />
Goossens, Dirk 122, 136, 237<br />
Gordon-Smith,<br />
Katherine<br />
O10.3<br />
Göring, Harald S12.4, S12.5, ECI<br />
13, 76<br />
Gow, Alan 74<br />
Graae, Lisette 142<br />
Grant, SFA 32<br />
Gratacòs, Mònica 40<br />
Gray, Joanna 285<br />
Green, Elaine O5.3, O10.3<br />
Green, Michael 249<br />
Greenwood, Tiffany S9.4, S14.2, O7.6,<br />
157, 166, 180,<br />
207, 249, 283<br />
Gregersen, Noomi 27<br />
Grevet, Eugênio H. 14<br />
Grigoroiu-Serbanescu,<br />
Maria<br />
148, 149<br />
Groß-Lesch, Silke 8<br />
Grove, Tyler S11.1<br />
Grozeva, Detelina O5.3, O10.3, 19<br />
Grucza, Richard S16.2, S16.3,<br />
S16.4, S16.5,<br />
S16.6, ECI 7<br />
Gruenewald, Ellen 51<br />
Gschwind, Leo 255, 256<br />
Guerrini, Irene ECI 17<br />
Guffanti, Guia O6.2, 63, 132,<br />
238, 264<br />
Guidry, Jami 242<br />
Guijarro-Domingo,<br />
Silvina<br />
8<br />
Guilherme, Luiza ECI 8<br />
Guillozet-Bongaarts,<br />
Angela<br />
232<br />
Guindallini, Camilla 170<br />
Guitiérrez-Zotes,<br />
Alfonso<br />
40<br />
Gunasinghe, Cerisse 285<br />
Guo, An-Yuan O3.5, 266, 267<br />
Guo, Ting-Wei 204<br />
Gupta, Ajay O2.2<br />
Gur, Raquel 76, 249<br />
Gurling, Hugh O2.1, ECI 17, 59,<br />
156<br />
Gutiérrez, Blanca 28<br />
Gwilliam, Rhian O17.1<br />
Haas, Magali 199<br />
Haavik, Jan S14.2, O9.6, 3, 5,<br />
7, 8, 9<br />
Hack, Laura O16.2<br />
Haggarty, Stephen S15.5<br />
Hagoort, Peter O8.3<br />
Haines, Jonathan O17.2<br />
Hakonaron, Hakon S13.1, S13.2, 32<br />
Hall, Mei Hua S12.3, 80, 240<br />
Hall, Stephanie 15, 17<br />
Halmoy, Anne S14.2, 7<br />
Hamdan, Adnan 206<br />
Hamilton, Steven S1.2, ECI 6<br />
Hamshere, Marian O10.3, O12.1,<br />
O17.1, 160
Han, Baoguang O2.4<br />
Han, Yan 204<br />
Hanna, Gregory S10.4, S10.5, 61<br />
Hansen, Aase 39<br />
Hansen, M. O1.1, 245<br />
Hansen, Thomas 212<br />
Haraksingh, Rajini 130<br />
Hardin, Jill O16.4<br />
Hare, Elizabeth 141<br />
Harold, Denise O17.1<br />
Haroutunian, Vahram O12.5<br />
Harris, Adam S13.5<br />
Harris, Sarah 74, 208<br />
Hartikainen, Anna-<br />
Liisa<br />
ECI 2<br />
Hartmann, Annette O12.1, 186<br />
Hartz, Sarah 138<br />
Hashimoto, Eri 94<br />
Hashimoto, Hitoshi O6.5<br />
Hashimoto, Ryota 66, 215<br />
Hatsukami, Dorothy S16.5, ECI 7<br />
Hattori, Kotaro 66<br />
Hauser, Joanna S1.1, O2.5, 190<br />
Hawi, Ziarah 4, 10, 12, 21<br />
Hawkin, William O5.2<br />
He, Guang O6.1, 38<br />
He, Lin O6.1, O7.1, 38<br />
Head, Jennifer 283<br />
Heath, Simon O1.3, O7.4, O11.1<br />
Heck, J. Denis O5.1<br />
Hedemand, Anne O8.1, 27, 212<br />
Heine, Monika 9<br />
Heinz, Andreas 197<br />
Henigsberg, Neven S1.1, O2.5, 190<br />
Hennah, William S15.2, 189, 208<br />
Hennings, Johannes S1.4<br />
M.<br />
Her, Charles-Henry 156<br />
Heresco-Levy, Uriel 91<br />
Heriani, H 57<br />
Herms, Stefan 119, 149<br />
Hernández, Sandra 108<br />
Heron, Eleisa 258<br />
Heron, Jon O4.3<br />
Hervás, Amaya 8<br />
Hesselbrock, Victor S16.1, S16.2,<br />
S16.3, S16.6,<br />
S16.7<br />
Hessl, David 22<br />
Hester, Robert 84<br />
Hettema, John O3.5<br />
Heutink, Peter S4.1, S4.5<br />
Heyrman, L 237<br />
Higuchi, Teruhiko 66<br />
Higuchi, Ttsuro 121<br />
Hill, Francesca 72<br />
Hill, Matthew 21, 48, 168, 253<br />
Hinds, David O16.4<br />
Hinrichs, Anthony S16.3, S16.5<br />
Hipolito, Maria O11.4, 157<br />
Hippman, Catriona 107<br />
Hirata, Yuko 172<br />
Hoda, Farzana 285<br />
Hodge, Susan ECI 6<br />
Hodges, Angela O17.4<br />
Hodgkinson, Colin A O1.7, O16.1, 167<br />
H<strong>of</strong>, Patrick O13.1<br />
H<strong>of</strong>fmann, Per 174<br />
H<strong>of</strong>man, Albert O7.2<br />
H<strong>of</strong>t, Nicole 69<br />
Hohmann, John 232<br />
Hokyo, Akira 82<br />
Hollander, Jonathan S7.4<br />
Hollingworth, Paul O17.1<br />
Holmans, Peter O5.3, O10.3,<br />
O12.1, O12.5,<br />
O17.1, 245<br />
Holsboer, Florian S1.4, O3.2, O15.1,<br />
100, 101<br />
Holst, Martin O12.2<br />
Holt, Robert A. S3.5<br />
Honda, Hiroyuku 215<br />
Honer, William 107<br />
Hoogendijk, Witte S4.1, S4.5<br />
Hoogman, Martine 2<br />
Hoop, Jinger P2.3<br />
Horan, Michael 74<br />
Hori, Hiroaki 66<br />
Horstmann, Sonja S1.4<br />
Hosang, Georgina 102<br />
Hottenga, Jouke-Jan 114, 147<br />
Hou, Wei-Kun 204<br />
Hougaard, David<br />
Michael<br />
O8.1<br />
Hounie, Ana S10.4, S10.5, ECI<br />
8, 61<br />
Houser, Melissa 259<br />
Hovatta, Iiris O3.4<br />
Howells, William S16.1, S16.3<br />
Howrigan, Daniel 118<br />
Hsu, Pei-Chun 87, 205, 235<br />
Hu, Xiaolan 15<br />
Hua Hall, Mei 83<br />
Huang, Ke O6.1<br />
Huber, Andreas 255<br />
Hudziak, James S8.1<br />
Huezo-Diaz, Patricia<br />
Hukic, Diana<br />
190<br />
Hulse, Gary 192<br />
Hulsh<strong>of</strong>f Pol, Hilleke<br />
E.<br />
85, 227<br />
Hultman, Christina 224, 225<br />
Hunt, Stephen 59<br />
Hunter, Jason R. 71<br />
Hunter, Mary-Jill 107<br />
Hussain, Hamid 139<br />
Hutchison, Kent 69<br />
Hutz, Mara 13<br />
Hwang, Rudi S11.5<br />
Hwu, Hai-Gwo 87, 205, 228, 235<br />
Hyde, Thomas 232<br />
Iacono, William G. ECI 10<br />
Iaenisch, Rudolf S3.6<br />
Ibrahim, Ibtihal 243<br />
Ibrahim, Nahed 243<br />
Ichiba, Mio 121, 123<br />
Ickovicz, Abel 171<br />
Iijima, Yoshimi 66<br />
Iizuka, Yukihiko O6.3<br />
Ikeda, Masashi 215<br />
Ikram, MA 114<br />
Ilott, Nicholas 24<br />
Im, Heh-In S7.4<br />
Inada, Toshiya 176, 220, 222, 274<br />
Ingason, Andres S5.2<br />
Inoue, Ken 29<br />
International Group<br />
for The Study <strong>of</strong><br />
Lithium Treated<br />
Patients, IGSLI<br />
O9.4<br />
Interheart<br />
Investigators<br />
O10.2<br />
Ioannidis, John 30<br />
Irizarry, Rafael S2.2<br />
Irmansyah, I 57<br />
Irons, Daniel E. ECI 10<br />
Ishigooka, Jun O1.4<br />
Ishihara, Ryoko 231<br />
Ising, Marcus S1.4, O3.2, O15.1,<br />
100, 101<br />
Israel, Salomon 91<br />
Ito, Yoshihito 176, 209, 220,<br />
221, 222, 231<br />
Iuvone, Michael 67<br />
Ivanov, Dobril O5.3<br />
Iwamoto, Kazuya S2.1, O1.4, 94<br />
Iwata, Nakao 215, 220, 221,<br />
222, 274<br />
Iyegbe, Conrad 105<br />
Iyo, Masaomi 274<br />
Izzo, Giselle 73<br />
Jablensky, Assen S3.1<br />
Jack, Lisa O16.4<br />
Jackson, Sarah 106<br />
Jacob, Christian P. O4.1, O9.6, 5, 7,<br />
8, 9<br />
Jacobsen, Kaya S14.2, 7<br />
Jancic, Dunya S14.3<br />
Janiri, Luigi 188<br />
Jansen, Andreas 86<br />
Janssens, Cecile 147<br />
Järvelin, Marjo-Riitta ECI 2<br />
Jay, M 245<br />
Jayathilake, Karu O6.5<br />
Jazin, Elena 251<br />
Jenkins, Gregory S1.2<br />
Jerez, Alvaro 141<br />
Jerman, Borut S1.1, O2.5<br />
Jia, Peiin O2.6, 42, 266, 267<br />
Jiang, Lin 251<br />
Jin, Choon-Jo 151<br />
Joensen, S<strong>of</strong>us 27<br />
Johansson, Stefan S14.2, 3, 7, 8, 9<br />
Johnson, Catherine 183, 273<br />
Johnson, Eric S16.3, S16.4,<br />
S16.5, ECI 7<br />
Johnson, Katherine 6<br />
Johnson, Matthew P. S12.4<br />
Johnson, Paul 45<br />
Jonathan, Sebat S5.4<br />
Jones, Allan 232<br />
Jones, Ian O5.3, O7.4,<br />
O10.3, 102<br />
Jones, Lisa O5.3, O7.4,<br />
O10.3, 102, 285<br />
Jones, Peter 211<br />
Joo, Eun-Jeong 46, 47<br />
Joyce, Peter 184<br />
Joyner, Alexander 64
Judy, Jennifer S14.1, 154, 257,<br />
263<br />
Jugurnauth, Sarah S7.1<br />
Jurkeniene, Lina 109<br />
Kaakinen, Marika ECI 2<br />
Kaczvinszk, Emília 50<br />
Kærgaard, Anette 39<br />
Kærlev, Linda 39<br />
Kahn, Rene O11.2, 81, 85,<br />
227, 234, 260, 265<br />
Kaiya, Hisanobu ECI 11, 29<br />
Kakiuchi, Chihiro 37, 177<br />
Kaladjieva, Luba S3.1<br />
Kalita, J 78<br />
Kallunki, Pekka O1.1<br />
Kalsi, Gursharan O16.2<br />
Kamail, Masoud 89, 161<br />
Kamar, Sher Bahadur 240<br />
Kan, Cees 2, 7, 9<br />
Kananen, Laura O3.4<br />
Kanazawa, Tetsufumi 82, 193<br />
Kand, Tae Sun 133<br />
Kandaswamy, ECI 17, 156<br />
Radhika<br />
Kandil, Karim 243<br />
Kane, John S9.3<br />
Kaneva, Radka 277<br />
Kang, Seung-Gul 195, 196, 200<br />
Kang, Sung Wook 254<br />
Kang, Xin 239<br />
Kano, Yukiko 35, 37<br />
Kanyas, K. O12.4<br />
Kaplan, Allan S 20<br />
Kapoor, Manav 111<br />
Kapornai, Krisztina 50, 202<br />
Kaprio, Jakko O14.1<br />
Kapur, Suman 111, 112<br />
Karayan, Ida 65<br />
Karlsson, Robert 142<br />
Kas, Martien O13.3, O13.4<br />
Kasai, Kiyoto 37<br />
Kasper, Siegfried 140<br />
Katerberg, Hilga S10.2<br />
Kato, Maiko 121<br />
Kato, Nobumasa 35<br />
Kato, Tadafumi S2.1, O1.4, 94<br />
Kaufman, Liana ECI 15<br />
Kawamura, Yoshiya 29, 35, 37, 177<br />
Kawashige, Seiya 82, 193<br />
Kaye, Walter S13.2, S13.3,<br />
S13.5<br />
Ke, Xiayi 74<br />
Keavney, Bernard O10.2<br />
Keefe, Richard S. E. 229<br />
Keers, Robert 102, 190<br />
Keller, Matthew 103, 246<br />
Kelly, Brian 68<br />
Kelsoe, John P4.5, S9.4, S14.2,<br />
O7.3, O7.5, O7.6,<br />
56, 146, 157, 166,<br />
169, 180, 201,<br />
242, 283<br />
Kember, Rachel 294<br />
Kemner, Chantal 81<br />
Kendler, Kenneth S16.7, O3.5,<br />
O16.2, O16.3, ECI<br />
3, 42, 115, 179,<br />
223, 245, 261, 279<br />
Kennedy, James S10.5, S11.5, 20,<br />
30, 50, 61, 172,<br />
178, 191, 202<br />
Kennedy, Martin 184<br />
Kennemer, Michael O16.4<br />
Kenny, Elaine 125<br />
Kenny, Paul S7.4<br />
Kent, Lindsey 4, 10<br />
Kerem, Zekeria 139<br />
Kerner, Mallory 182<br />
Kerr, Elizabeth 171<br />
Kertes, Darlene A. 279<br />
Khemka, Deepak 137<br />
Kiefer, Falk 197<br />
Kiemeney, Lambertus 7<br />
Kikuyama, Hiroki 82, 193<br />
Kilpatrick, Dean 110<br />
Kim, Hak Jae 254<br />
Kim, Hyun Sook 46<br />
Kim, Jeong-Hyun 70, 134<br />
Kim, Jong Woo 254<br />
Kim, Leen 195, 196<br />
Kim, Se Hyun 47<br />
Kim, Su Kang 254<br />
Kim, Yong Sik 47<br />
King, Mary-Claire S5.1<br />
King, Nicole 172<br />
Kinnell, Hazel 51<br />
Kinon, Bruce O2.4<br />
Kinoshita, Yoko 215<br />
Kircher, Thilo 86<br />
Kirley, Aiveen 4, 10<br />
Kirov, George S5.2, O5.3, O10.3,<br />
O12.1, O12.5, 19,<br />
247<br />
Kirschbaum, Clemens O7.2<br />
Kiss, Eniko 50, 202<br />
Klei, Lambertus 243<br />
Kleinman, Joel 232<br />
Klimecki, Walt 56<br />
Kloiber, Stefan S1.4, O3.2, 100<br />
Klok, M.D. 60<br />
Knappskog, Per 7, 8, 9<br />
Knight, Helen O5.2<br />
Knowles, James S10.4, 239<br />
Ko, Seong-Gyu 70, 134<br />
Kochunov, Peter S12.4<br />
Kockum, Ingrid 142<br />
Kodama, Masafumi 274<br />
Koehler, Angela N. S15.5<br />
Koenen, Karestan 110<br />
Koenigsberg, Harold O1.7<br />
Koga, Minori 215<br />
Koh, Jun 82, 193<br />
Kohli, Martin A. S1.4<br />
Koide, Takayoshi 220<br />
Koishi, Shinko 35<br />
Kojima, Toshio O1.4<br />
Kolachana, Bhaskar O6.3<br />
Koller, Daniel O10.4, ECI 14,<br />
157<br />
Kolstad, Henrik 39<br />
Komel, Radovan 49<br />
Konishi, Yoshiaki ECI 11<br />
Konneker, Thomas 25, 229<br />
Kooij, J.J. Sandra 7, 9<br />
Korbel, Jan O. 130<br />
Korszun, Ania O1.3, O7.4, 102,<br />
143<br />
Koszycki, Diana 178<br />
Kothencné, Viola<br />
Osváth<br />
50<br />
Kovacic, Zrnka 190<br />
Kovacs, Maria 50, 202<br />
Kovas, Yulia 77<br />
Kozel, Dejan 190<br />
Kracht, Sören 86<br />
Kraft, Jeffrey S1.2<br />
Kramer, John S16.1, S16.2,<br />
S16.3, S16.4,<br />
S16.6, S16.7<br />
Krasteva, Dorita 277<br />
Krastoshevsky, Olga 80<br />
Krause, Verena 80<br />
Kreiker, Susanne 7, 8<br />
Kremen, William S6.2, 213<br />
Kremensky, Ivo 277<br />
Krieger, Jose Eduardo 276, 278<br />
Kripke, Daniel O7.5, 56, 201<br />
Kristensen, Ann Suhl 30, 39<br />
Kronholm, Erkki O1.5<br />
Krueger, Robert S16.1, S16.2,<br />
S16.3, S16.4,<br />
S16.6, S16.7, ECI<br />
10<br />
Krug, Axel 86<br />
Kruggel, Frithj<strong>of</strong> 63, 132<br />
Kruse, Torben 27<br />
Kuan, Leonard 232<br />
Kukita, Camila 73<br />
Kumar, Ravinesh A. ECI 12<br />
Kumari, Meena O7.2<br />
Kuntsi, Jonna 11<br />
Kunugi, Hiroshi 66<br />
Kuo, Po-Hsiu O3.5, O16.2<br />
Kuperman, Samuel S16.1, S16.2,<br />
S16.3, S16.6,<br />
S16.7<br />
Kurian, Sunil S6.3<br />
Kusenda, Mary O13.5<br />
Kushima, Itaru 174, 209, 220,<br />
221, 222<br />
Kusumawardhani,<br />
Agung<br />
57<br />
Kusumi, Ichiro O1.4<br />
Kyra, Kanyas 206<br />
Labad, Antonio 248<br />
Lachman, Herb O5.4<br />
Laenerts, A-S 237<br />
Lahiri, Debomoy S6.3<br />
Lahti, Jari 189<br />
Lai, I-Ching O8.4<br />
Laird, Nan 118<br />
Lakatos, Anita 63, 132<br />
Lambert, Christophe O17.3<br />
Lancet, D. O12.4<br />
Landaas, Elisabeth 7<br />
Landen, Mikael O10.1, O10.5<br />
Landgraf, Rainer S6.1<br />
Langenecker, Scott 89, 161<br />
Langley, Kate O4.3, O4.4, 1, 19<br />
Laranjeira, Ronaldo 276, 278<br />
Larsen, Eric 190
Lasseter, VK 245<br />
Lathrop, Mark O1.3, O7.4,<br />
O11.1, 164<br />
Laurent, C. 245<br />
Laurie, Cathy S16.1<br />
Lavebratt, Catharina O1.2, O7.3, O9.1,<br />
92<br />
Law, Matthew 203<br />
Lawlor, Brian O17.1<br />
Lawrence, Jacob O2.1, ECI 17, 59,<br />
156<br />
Lawson, William O11.4, 157<br />
Lazzeroni, Laura 249<br />
Lea, Vella 242<br />
Lecrubier, Yves 140<br />
Lee, Hee Jae 254<br />
Lee, Heon-Jeong 151, 195, 196, 200<br />
Lee, James 275<br />
Lee, Kyu Young 46, 47<br />
Lee, Migyung 250<br />
Lee, Richard 99<br />
Lee, Sang Kil 67<br />
Lee, Sun-Young<br />
Lee, Yohan<br />
151<br />
Leff, Julian 211<br />
Leibenluft, Ellen 163, 165<br />
Lekman, Magnus 142<br />
Lemenager, Tagrid 197<br />
Lenaerts, An-S<strong>of</strong>ie 122<br />
Lencz, Todd S9.2, S9.3, O8.6<br />
Le-Niculescu, Helen S6.3, O10.4<br />
Lennartsson, Andreas 92<br />
Lepard, Tiffany 106<br />
Leppä, Virpi O1.5<br />
Lerer, Bernard O12.4, 233, 238,<br />
245<br />
Lesch, Klaus-Peter O4.1, O9.6, 3, 5,<br />
7, 8, 9<br />
Levin, Raz 91<br />
Levinson, Douglas F. 115, 245<br />
Levitan, Robert D 20<br />
Levy, Deborah 80<br />
Lewis, Cathryn M S1.1, O1.3, O2.5,<br />
O7.4, O11.1, 143,<br />
153, 164, 170<br />
Lezheiko, Tatyana 280<br />
Li, Chao O6.3<br />
Li, Dawei ECI 16<br />
Li, Qingqin 199<br />
Li, Rick 115<br />
Li, Tao O6.1<br />
Li, Wenbiao 79<br />
Liang, KY 245<br />
Liao, Ding-Lieh O8.4<br />
Liao, Isaac ECI 4<br />
Libiger, Ondrej S13.5<br />
Lichtenstein, Paul 224, 225<br />
Lieb, Roselind O15.1, 100, 101<br />
Lieberman, Jeffrey A. S11.5, O2.6,<br />
O12.3, 191, 229<br />
Liedel, Stephanie O9.6, 5<br />
Lienard, Patricia 140<br />
Liewald, David 74<br />
Light, Gregory 207, 249<br />
Lin, Michelle O4.1<br />
Lin, Peng 138<br />
Lindefors, Nils O3.1<br />
Lindgren, CM 114<br />
Lindholm Carlstrom,<br />
Eva<br />
251<br />
Linotte, Sylvie 140<br />
Linse Peterson, Greta O17.3<br />
Lionel, Anath 158<br />
Liou, Ying-Jay O8.4<br />
Lit, Lisa ECI 4, 22<br />
Liu, Chih-Min 87, 205, 228, 235<br />
Liu, Chunyu S2.3, S2.5, S5.3,<br />
127, 157, 180<br />
Liu, Qing Rong 183<br />
Liu, Tze-Tze 205<br />
Liu, Wenlei O2.4<br />
Liu, Xiao-Gang 204<br />
Liu, Xiaoxi 35, 37, 177<br />
Liu, Xinmin 163<br />
Liu, Youfang 224, 225<br />
Liu, Yue 204<br />
Liu, Yu-Li 87, 205, 228, 235<br />
Livingston, Gill O17.1<br />
Lloyd, K.C. Kent 26<br />
Lochner, Christine S10.2, S10.4<br />
Logan, Richard O14.3<br />
Loh, Han Chern ECI 1, 217, 226<br />
Loh<strong>of</strong>f, Falk W. 41, 157<br />
Lohr, James S6.3, 213<br />
Lönnqvist, Jouko O3.4, 189<br />
Lonsdorf, Tina O3.1<br />
Loo, Sandra 15, 17<br />
Lorentzen, Steinar 53<br />
Loukola, Anu O1.5<br />
Lourdusamy,<br />
Anbarasu<br />
O14.1, 281<br />
Lovestone, Simon S15.1, O17.1,<br />
O17.4<br />
Lovett, Maureen 171<br />
Low, Nancy C. O9.3<br />
Lu, Q. Richard S15.4<br />
Lu, She-Min 204<br />
Lucae, Susanne S1.4, 100<br />
Luciano, Michelle 74<br />
Ludwig, Kerstin 174<br />
Luis, Rohde 13<br />
Lunnon, Katie O17.4<br />
Luo, Wei 98<br />
Lupoli, Sara O12.4, 63, 233<br />
Luzi, Sonija O15.2, 105<br />
Lydall, Gregory J. ECI 17, 59<br />
Lynskey, Michael S16.2, S16.3,<br />
S16.4, 277<br />
Lysaker, Paul S6.3<br />
Ma, Jie 204<br />
Maccarrone,<br />
Giuseppina<br />
S6.1<br />
Macciardi, Fabio O6.2, O12.4, 233,<br />
63, 132, 238, 264<br />
Macintosh, Andrew S3.2<br />
Macintyre, Donald O5.2<br />
Maclean, Alan O5.2<br />
Maddox, Connie 67<br />
Madison, Jon S15.5<br />
Magi, R. 114<br />
Magistretti, Pierre S13.2, S13.5<br />
Maher, Brion O3.5, ECI 3, 223,<br />
261<br />
Mahon, Pamela 257<br />
Maia, Jessica O11.3, 254<br />
Maier, Wolfgang S1.1, S14.4, O2.5,<br />
O17.1, 143, 190,<br />
245<br />
Makarov, Vladimir 165<br />
Malaspina, Dolores 239<br />
Malhotra, Anil S9.2, S9.3, O8.6,<br />
ECI 9, 165<br />
Malhotra, Dheeraj 165<br />
Malki, Karim O2.5<br />
Mallet, J. 245<br />
Malloy, Mary O5.2, 216, 237<br />
Malone, Molly 171<br />
Manchia, Mirko O9.4, 162<br />
Mandelli, Laura 185, 188<br />
Mangino, M. 114<br />
Manji, Husseini 199<br />
Mann, Karl 197<br />
Manor, Iris 11<br />
Mansour, Hader 243<br />
Mantripragada, Kiran O4.4, 19<br />
Manz, Niklas ECI 18, 90<br />
Mao, Yingwei S15.5<br />
Marco, Di Nicola 188<br />
Margolis, Russell L. 135<br />
Mari, Jair 170<br />
Markov, Valentin 86<br />
Marks, Michael 59<br />
Maron, Eduard 30<br />
Marques, Andrea ECI 8<br />
Marshall, Nicolette 236<br />
Martin, Andrew O4.4, 19<br />
Martin, Nick S12.1, 114<br />
Martinez Levy,<br />
Gabriela Ariadna<br />
ECI 5<br />
Martinotti, Giovanni 188<br />
Martorell, Lourdes 40, 248<br />
Marusic, Andrej 190<br />
Massat, Isabelle 140<br />
Mathé, Aleksander 92<br />
Mathews, Carol S10.1, S10.2,<br />
S10.3, S10.4,<br />
S10.5, S10.6,<br />
S10.7, 61<br />
Mathur, Aditi 203<br />
Mattheisen, Manuel 119, 160<br />
Mattingley, Jason 84<br />
Mattingsdal, Morten 53<br />
Mavroconstanti,<br />
Thegna<br />
7<br />
May, Todd 213<br />
Mayer, László 50<br />
Mazza, Marianna 188<br />
McCarthy, Mark ECI 2, 114<br />
McCarthy, Michael 201<br />
McCarthy, Shane 165, 291<br />
McClay, Joseph L. O2.6<br />
McClellan, Jon S5.1<br />
McClure, Jennifer O16.4<br />
McCombie, W.<br />
Richard<br />
208<br />
McCracken, Jim 17<br />
McDonald, Colm 236<br />
McEvoy, Joseph O11.3, 254<br />
McGeary, John E. 58, 62<br />
McGhee, Kevin O5.2, 74<br />
McGrath, Patrick S1.2
McGuffin, Peter S1.1, O1.3. O5.3,<br />
O7.4, O10.3,<br />
O11.1, O11.5,<br />
O15.2, 102, 143,<br />
152, 164, 190, 211<br />
McHugh, Patrick 184<br />
McInnis, Melvin S6.4, 89, 128, 129,<br />
157, 161<br />
McKeigue, Paul 170<br />
McKeon, Patrick 168<br />
McKinney, Rebecca O7.5, 166, 201,<br />
283<br />
McLeod, Howard 23<br />
McMahon, Francis S14.3, S14.4,<br />
O2.2, 5.5, O11.6,<br />
ECI 19, 30, 127,<br />
157, 163, 165<br />
McNealy, Kristin 88<br />
McNeill, Geraldine 74<br />
McQueen, Matthew 118, 246<br />
McQuillin, Andrew O2.1, ECI 17, 59,<br />
156<br />
McRae, Allan O5.2, 208<br />
Meaburn, Emma O14.5<br />
Medland, SE 114, 116<br />
Megson, Ian 203<br />
Meier, Sandra 160<br />
Meiser, Bettina P2.1<br />
Melas, Philippe 92<br />
Melle, Ingrid 53, 64<br />
Meltzer, Herbert O6.5, 191<br />
Menchón, José<br />
Manuel<br />
40<br />
Mendez, Enrique ECI 5<br />
Mendlewicz, Julien 140, 190<br />
Mendoza, Rickardo 141<br />
Menezes, Paulo 104, 113<br />
Menke, Andreas S1.4<br />
Mercer, Kristie 79<br />
Merikangas, Alison O15.3, O15.4<br />
Metspalu, Andres 30<br />
Meye, Frank O13.3<br />
Meyer, Jerrold O4.1, 68<br />
Meyer, Jobst O4.1<br />
Michelon, Leandro 104, 113<br />
Mick, Eric 3, 9, 15, 17, 155<br />
Middeldorp, Christel 147<br />
Middleton, Frank S8.1, S8.2, S8.3,<br />
18<br />
Miguel, Euripedes ECI 8<br />
Mikhailov, Anna 173<br />
Mikkelsen, Sigurd 39<br />
Milanesi, L. 233<br />
Mill, Jonathan O9.5, O9.7,<br />
O14.1, O14.5, 24<br />
Millar, Kirsty 208<br />
Miller, Del S11.1<br />
Miller, Gregory 68<br />
Minassian, Arpi 146, 242<br />
Minato, Takanobu 29<br />
Mir, Asif ECI 15, 173<br />
Mira, Korner 206<br />
Miralles, Carmen 248<br />
Miranda, Ana 11<br />
Miranda, Eduardo 54, 55<br />
Mishra, U.K. 78<br />
Missaglia, Sara 188<br />
Mitchell, Philip P2.1<br />
Miyagawa, Taku 29<br />
Miyamoto, Jill 69<br />
Moebus, Susanne O8.2, O9.2, 119<br />
Moens, Lotte 52, 122, 136<br />
Moessner, Rainald O3.3<br />
M<strong>of</strong>fitt, Terrie O9.7<br />
Moghimi, Narges 158<br />
Molina, Esther 28<br />
Moline, Jessica S11.1<br />
Moller, Hans-Jurgen O12.1, 186<br />
Monakhov, Mikhail 91, 280<br />
Monnier, Philippe O14.3<br />
Moon, Randall S15.5<br />
Moreno, Ricardo 198<br />
Morgan, Craig O15.2, 211<br />
Morgan, Kevin O17.1, 211<br />
Morgan, Margaret O12.3<br />
Morgan, Marsha 59<br />
Morken, Gunnar 53<br />
Morris, Brian 45<br />
Morris, Derek S3.1, S9.1, O12.1,<br />
48, 125<br />
Morris, Noella Marie 192<br />
Mors, Ole S1.1, O1.1, O2.5,<br />
O8.1, 27, 30, 39,<br />
143, 190, 212, 214<br />
Mortensen, Preben Bo O8.1<br />
Moses, Eric K. S12.4, ECI 13<br />
Moskvina, Valentina O10.3, O12.1,<br />
O12.5<br />
Mostafavi-<br />
Abdolmaleky, Hamid<br />
O14.4<br />
Motala, Farhana 16<br />
Mouri, Akihiro 215<br />
Mowry, Bryan J. 115, 245<br />
Mueller, Daniel 191<br />
Mueller-Myhsok,<br />
Bertram<br />
S1.4<br />
Muglia, Pierandrea S1.1, O1.3, O7.4,<br />
O11.1, 164<br />
Mühleisen, Thomas S14.4, O8.2, O9.2,<br />
86, 119, 160<br />
Muhonen, Leea 189<br />
Muir, Walter O1.1, O5.2, 208,<br />
216, 237<br />
Mulas, Fernando 11<br />
Müller, Daniel J. S11.5<br />
Müller-Myhsok,<br />
Bertram<br />
S4.2, O3.2, 174<br />
Mulligan, Aisling 6, 16<br />
Muniz, Renan ECI 8<br />
Munsie, Leanne O2.4<br />
Murphy, Dennis S10.4, O11.6<br />
Murray, Robin O15.2, 54, 55, 83,<br />
104, 105, 211, 236<br />
Murray, Sarah S. S13.5<br />
MvGough, Jim 17<br />
Na, Han Sung 133<br />
Nabeshima, Toshitaka 215<br />
Nagai, Taku 209, 231<br />
Nakamura, Jun 215, 268, 269, 272<br />
Nakamura, Masayuki 121, 123, 124<br />
Nakamura, Yukako 176, 209, 220,<br />
221, 222<br />
Nakano, Yoko O1.4, 94<br />
Nalls, Michael O5.5<br />
Nandam, Sanjay 84<br />
Nasrun, Martina 57<br />
Nathan, Pradeep 84<br />
Navon, Ruth 126<br />
Neagu, Ana I. 149<br />
Neale, Benjamin P4.4, S10.3,<br />
S10.4, 15, 17, 114,<br />
116, 262<br />
Neale, MC 116<br />
Need, Anna O11.3, 254<br />
Negrão, André<br />
Brooking<br />
276, 278<br />
Negri, Gloria 188<br />
Nelson, Elliot 138<br />
Nelson, Stanley 15, 17<br />
Nertney, D. 245<br />
Nesheva, Eleonora 277<br />
Nestadt, Gerald S10.4, 245<br />
Neuh<strong>of</strong>f, Nina 174<br />
Neuman, Rosalind S16.1, S16.3<br />
Neuroimaging<br />
Initiative, Alzheimer’s<br />
Diesease<br />
63<br />
New, Antonia O1.7<br />
Ng, Mandy Y S1.1, O1.3, O7.4,<br />
O11.1, 143<br />
Nguyen, Trang O4.1, O9.6, 5<br />
Ni, Xingqun 191<br />
Nicodemus, Kristin 219<br />
Nicolini, Humberto S10.4, 141<br />
Niculescu, Alexander S6.3, O10.4<br />
Nielsen, Anders Lade 214<br />
Nieratschker, Vanessa O8.2, O9.2, 86,<br />
119<br />
Nievergelt, Caroline O7.5, 56, 157<br />
Nigg, Joel S8.4<br />
Nikamo, Pernilla O10.1, O10.5<br />
Nikolov, Ivan O10.3, O12.1<br />
Nikolov, Momchil 277<br />
Nimgaonkar,<br />
76, 118, 243<br />
Vishwajit<br />
Nisenbaum, Laura O2.4<br />
Nishida, Hisami 37<br />
Nishida, Nao 29<br />
Njau, Reuben O2.4<br />
Nnadi, Charles 167<br />
Noble, Ernest 65, 181<br />
Nocon, Agnes 101<br />
Noda, Yukihiro 209, 231<br />
Noens, Ilse O13.2, 31<br />
Noethen, Markus M. O5.5, 148, 149<br />
Nogueira, Mariana 8<br />
Nohesara, Shabnam 97<br />
Nolen, Willem 147<br />
Nonkens, Lourens O13.3<br />
Noor, Abdul ECI 15, 158, 173<br />
Nordent<strong>of</strong>t, Merete O1.1, O8.1<br />
Nørgaard-Pedersen,<br />
Bent<br />
O8.1<br />
Nørmølle<br />
Buttenschøn, Henriette<br />
27
Norrback, Karl- 52, 122, 136<br />
Fredrik<br />
Norton, Nadine O12.1, 245<br />
Nothen, Markus S14.3, S14.4,<br />
O8.2, O9.2,<br />
O17.1, 119, 160,<br />
174, 197<br />
Novak, Melinda 68<br />
Nowrouzi, Behdin 172<br />
Nuechterlein, Keith 249<br />
Nugent, Nicole 110<br />
Nurnberger Jr., John S6.3, S16.1,<br />
S16.2, S16.3,<br />
S16.6, S16.7,<br />
O10.4, O11.4, ECI<br />
14, 30, 138, 157<br />
Nwulia, Evaristus O11.4, 157<br />
Nyegaard, Mette O1.1, O8.1, 27,<br />
212, 214<br />
Nymberg, Charlotte O14.1<br />
O’Donovan, Michael 160<br />
Oades, Robert D 11<br />
Oberlander, Tim 43<br />
O'Donoghue, Therese S9.1<br />
O'Donovan, Lucy 45<br />
O'Donovan, Michael S3.1, S5.2, S9.1,<br />
O4.3, O4.4, O5.3,<br />
O10.3, O12.1,<br />
O12.5, O17.1, 19,<br />
210, 215, 245, 247<br />
O'Dushlaine, Colm 131, 159<br />
Oedegaard, Ketil<br />
Joachim<br />
S9.4, S14.2<br />
Oh, S 245<br />
Ohadi, Mina 158<br />
Ohashi, Mitsuki 231<br />
Ohman, Arne O3.1<br />
Ohmori, Osamu 268, 269, 272<br />
Ohnishi, Tetsuo O2.3<br />
Ohno, Kinji 209<br />
Ojha, Saroj Prasad S12.3, 240<br />
Ojopi, Elida 73, 75, 198<br />
Okahisa, Yuko 274<br />
Okamoto, Nagahisa 66<br />
Okazaki, Yuji ECI 11, 29<br />
Okochi, Tomo 215<br />
Oldham, Michael<br />
Olga, Likhodi<br />
94<br />
Olincy, Ann 249<br />
Ollier, William 74<br />
Olsen, Inger Marie L. O1.1<br />
Olsson, Eric 230<br />
Olvera, Rene O9.8, ECI 13, 76<br />
Omori, Mayu 66<br />
Omri, Teltsh 206<br />
O'Neill, A 245<br />
O'Neill, Francis ECI 3, 179, 223<br />
O'Neill, Raymond R. 26<br />
Ono, Yutaka 176<br />
Ontiveros, Alfonso 141<br />
Oostra, Ben 147<br />
Oph<strong>of</strong>f, Roel O11.2, 81, 227,<br />
260, 265<br />
Oppelaar, Hugo O13.3<br />
Orro, Alessandro O12.4, 63, 233<br />
Osby, Urban O10.1, O10.5, 230<br />
Oscar-Berman, 182<br />
Marlene<br />
Osimo, Emanuele O12.4, 238<br />
Osnat, Karni 206<br />
Ospina, Luz O13.1<br />
Otowa, Takeshi ECI 11, 29, 30, 35,<br />
37, 177<br />
Otte, David-Marian O12.2<br />
O'Tuathaigh, Colm S3.3<br />
Owen, Michael S3.1, S5.2, S9.1,<br />
O1.3, O4.3, O4.4,<br />
O5.3, O7.4,<br />
O10.3, O11.1,<br />
O12.1, O12.5,<br />
O17.1, 1, 19, 102,<br />
143, 210, 215,<br />
245, 247<br />
Ozaki, Norio 176, 209, 215,<br />
220, 221, 222,<br />
231, 274<br />
Ozkaragoz, Tulin 181<br />
Ozomaro, Uzoezi O3.3<br />
Ozturk, Mine 117<br />
Paddock, Silvia 142<br />
Pae, Chi-Un 185<br />
Palácios, Selma ECI 8<br />
Palejev, Dean 130<br />
Palmason, Haukur O4.1<br />
Panariello, Fabio 244<br />
Panganiban, Corrie 157<br />
Papadimitriou, G 245<br />
Papageorgis, Panos O14.4<br />
Papapetrou, Danae O13.1<br />
Papassotiropoulos,<br />
Andreas<br />
255, 256<br />
Pare, Guillaume O10.2<br />
Paredes, Ursula 170<br />
Pariante, Carmine O15.2<br />
Park, Hyung-Seok 151<br />
Park, HyunJoo 133<br />
Park, Jeong-Su 70, 134<br />
Park, Jin Kyung 254<br />
Park, Joanne 4, 10<br />
Park, Sohee S12.3<br />
Park, Sunju 70, 134<br />
Park, Young-Min 195<br />
Parker, Gordon P2.1<br />
Parla, Jennifer 208<br />
Partonen, Timo O1.2, O1.5, O7.3<br />
Paschall, Justin 157<br />
Passmore, Peter O17.1<br />
Pásztor, Péter I. 234<br />
Patel, Darshana 175<br />
Patel, Sagar S6.3, O10.4<br />
Patterson, Diana O16.2<br />
Paul, Torsten 148, 160<br />
Pauls, David S10.1, S10.3,<br />
S10.4, S10.5,<br />
O4.2, 61<br />
Paunio, Tiina S12.2, O1.5, O7.3<br />
Payo-Cano, Jose L O2.5<br />
Payton, Antony 74<br />
Pedersen, Carsten<br />
Bøcker<br />
O8.1<br />
Pedrosa, Erika O5.4<br />
Pedroso, Inti O11.5<br />
Peeters, Hilde O13.2<br />
Peirce, Timothy O12.1<br />
Peltonen, Leena O3.4, ECI 2, 114,<br />
189<br />
Pendleton, Neil 74<br />
Penninx, Brenda S4.1, S4.5, 147<br />
Pereira, Alexandre<br />
Costa<br />
276, 278<br />
Pereira, Ana-Caterina ECI 17<br />
Perez, Jorge 190<br />
Perez-Rodriguez,<br />
Mercedes<br />
O1.7<br />
Pericak-Vance,<br />
Margaret<br />
O3.3, 17.2<br />
Perkins, Diana O. 229<br />
Perlis, Roy S1.5<br />
Perroud, Nader S1.1<br />
Perry, William 146<br />
Peters, Eric S1.2<br />
Petryshen, Tracey S15.5<br />
Pfister, Hildegard O15.1, 100, 101<br />
PGC Schizophrenia<br />
GWAS Collaboration,<br />
P4.3<br />
The<br />
Phenome Group, The<br />
Bipolar Disorder<br />
S14.1<br />
Philibert, Rob 30<br />
Piccardi, Paola 162<br />
Picchioni, Marco 83<br />
Pickard, Ben O5.2, 216, 237<br />
Pickles, Andrew 74<br />
Pidsley, Ruth O9.5<br />
Pirkola, Sami O1.5, O3.4<br />
Pirlo, Katrina O1.3, O7.4,<br />
O11.1, 143<br />
Pirooznia, Mehidi S14.1, 154, 257,<br />
263<br />
Pitch, Ashley 171<br />
Pitts, Steve O16.4<br />
Pjetri, Eneda O13.3<br />
Placentino, Anna S1.1, O2.5, 190<br />
Plomin, Robert O14.5, 77<br />
Pluzhnikov, Anna S10.3<br />
Poelmans, Geert O4.2<br />
Pogue-Geile, Michael 76<br />
Polanczyk, Guilherme 13<br />
Polgár, Patrícia 234<br />
Porjesz, Bernice S16.1, S16.6,<br />
S16.7, ECI 18, 90<br />
Porkka-Heiskanen,<br />
Tarja<br />
O1.5<br />
Porteous, David S15.2, O5.2, 51,<br />
74, 208<br />
Potash, James S2.2, S14.1,<br />
S14.3, 99, 150,<br />
154, 157, 165,<br />
257, 263<br />
Potkin, Steve O6.2, 63, 132,<br />
191, 238, 264<br />
Pouta, Anneli ECI 2<br />
Powell, John 54, 55, 83, 105<br />
Prado, Carolina 198<br />
Prata, Diana 236<br />
Pratt, Amanda 23<br />
Pratt, Judy 45<br />
Pregelj, Peter 49<br />
Preisig, Martin 143<br />
Prescott, Carol O16.2, O16.3, 279
Price Foundation<br />
Collaborative Group,<br />
The<br />
S13.1, S13.4,<br />
S13.5<br />
Priebe, Lutz O9.2, 119<br />
Prince, Martin 170<br />
Priotsi, P S15.1<br />
Propping, Peter O12.2<br />
Prossin, Alan 89, 161<br />
Psychiatric GWAS P4.2, P4.3, P4.4,<br />
Consortium, The P4.5<br />
Pugh, Elizabeth S16.1, S16.3,<br />
S16.4<br />
Pulver, AE 245<br />
Purcell, Shaun S5.5, S10.3,<br />
S10.4, O2.1,<br />
O12.3, ECI 17,<br />
118, 131, 159<br />
Qi, Hongshi 92<br />
Qian, Yudong 127<br />
Qiu, Chuan 204<br />
Quackenbush, Corey 23, 229<br />
Quesenberry, Charles S1.3<br />
Quevedo, João 75<br />
Quinn, Emma S9.1, O12.1, 48<br />
Racz, Ildiko 120<br />
Radant, Allen 249<br />
Ramakers, Geert O13.3<br />
Ramakrishnan, Kamna 208<br />
Ramos-Quiroga, Josep<br />
Antoni<br />
3, 7, 8, 9<br />
Rangarajan, Sumathy O10.2<br />
Rangaswamy,<br />
ECI 18, 90<br />
Madhavi<br />
Rasmussen, Jerod 132<br />
Raventos, Henriette 141<br />
Rebolini, Danea 208<br />
Redman, Margot S2.3<br />
Reif, Andreas O9.6, 3, 5, 7, 8, 9,<br />
30<br />
Reinalda, Megan S1.2<br />
Remington, Gary 191<br />
Remschmidt, Helmut 174<br />
Renner, Tobias O4.1<br />
Ressler, Kerry 79<br />
Réthelyi, János M. 234<br />
Reus, Victor S1.3<br />
Rex, Katharine 56<br />
Ribases, Marta 7, 8, 9<br />
Ribble, R 245<br />
Ribeiro, Sidarta 75<br />
Rice, John S16.1, S16.3,<br />
S16.5, ECI 7, 115,<br />
138, 143, 157<br />
Richmond, Todd 135<br />
Richter, Margaret S10.5<br />
Richter, Anne 197<br />
Richter, Peggy M. S11.5<br />
Rietschel, J. O2.5<br />
Rietschel, Marcella S1.1, S14.3,<br />
S14.4, O5.5, O8.2,<br />
O9.2, O11.6, 30,<br />
86, 119, 143, 148,<br />
160, 190, 197<br />
Rijpkema, Mark O8.3<br />
Rijsdijk, Fruhling 11, 83, 144<br />
Riley, Brien O16.2, ECI 3, 42,<br />
179, 223, 245, 279<br />
Rimol, Lars 64<br />
Ripatti, Samuli O3.4, 114<br />
Ripke, Stephan P4.1, S1.4, O3.2,<br />
262<br />
Ritchie, Terry 65<br />
Ritter, Benjamin P. 71<br />
Rivera, Margarita 28, 143<br />
Rizzu, Patrizia S8.1<br />
Roberts, Rachel O4.4, 19<br />
Robertson, Ian 6<br />
Robinson, Delbert S9.3<br />
Robinson, M. ECI 17<br />
Rochberg, Nanette 138<br />
Roche, Siobhan 168<br />
Roddey, Cooper 64<br />
Roeske, Darina O3.2<br />
Roeyers, Herbert 11<br />
Rogdaki, Maria 92<br />
Roig, Barbara O6.4<br />
Roman, Tatiana 13, 292<br />
Romanos, Marcel O4.1, O9.6, 5<br />
Romer Ek, Inger O10.1, O10.5<br />
Rommelse, Nanda 11<br />
Rose, Emma S9.1<br />
Rose, Jed 183, 273<br />
Rose, Richard O14.1<br />
Rosenfeld, Jill O6.6<br />
Rosengren, Annika O10.2<br />
Ross, Jessica S10.6<br />
Rothenberger, Aribert 11<br />
Röthlisberger, Benno 255<br />
Rouleau, Guy S10.3<br />
Roy, Alec O16.1<br />
Royall, Josh 232<br />
Ruberto, Gaia 153<br />
Rubinsztein, David O17.1<br />
Ruck, Christian O3.1<br />
Rucker, James 164<br />
Rückert, IM 114<br />
Ruderfer, Douglas 131, 159<br />
Rugulies, Reinar 39<br />
Ruiz, Aida 54, 55<br />
Ruiz-Linares, Andres S10.3<br />
Rujescu, Dan S3.1, S5.2, S9.1,<br />
O12.1, 186<br />
Rupprecht, Rainer S1.4<br />
Rush, A. John S1.4<br />
Russell, Elen O10.3<br />
Saarikoski, Sirkku 189<br />
Sabatti, Chiara S10.3<br />
Sabunciyan, Sarven S2.2<br />
Saccone, Nancy S16.1, S16.3,<br />
S16.5, ECI 7<br />
Saccone, Scott S16.3, 138<br />
Saetre, Peter 251<br />
Sagvolden, Terje 18<br />
Sahoo, Trilochan O6.6<br />
Saito, Toshikazu 94<br />
Sakai, Yoshie 177<br />
Sakata, Shinichi 268, 269, 272<br />
Sakurai, Takeshi O12.5, O13.1<br />
Salah, Hala 243<br />
Salgado, Carlos A. I 14<br />
Salisbury, Dean 80<br />
Salomon, Daniel S6.3<br />
Salvi, Erika O12.4, 63, 233<br />
Samaan, Zainab O10.2<br />
Sampaio, Aline ECI 8<br />
Sánchez-Mora,<br />
Cristina<br />
8, 9<br />
Sanders, Alan R. 115, 245<br />
Sano, Akira 121, 123, 124<br />
Santangelo, Susan L. S12.3, 240<br />
Santarelli, Danielle S7.2<br />
Sarah, Murray 157<br />
Sasaki, Tsukasa ECI 11, 29, 30, 35,<br />
37, 177<br />
Saunders, Erika 89<br />
Saus, Ester 40<br />
Savla, Gauri 242<br />
Saykin, Andrew 63<br />
Scazufca, Marcia 104, 113<br />
Schaefer, Catherine S1.3<br />
Schäfer, Helmut O9.6, 5<br />
Schafer, Martin 186<br />
Schalkwyk, Leonard C O2.5, O14.5<br />
Schalling, Martin O1.2, O3.1, O7.3,<br />
O10.1, O10.5, 230<br />
Scharf, Jeremiah S10.1, S10.3<br />
Scheftner, William 157<br />
Schilling, Karl O12.2<br />
Schilling, Paul 207<br />
Schizophrenia<br />
Genomics Ireland<br />
Consortium, The<br />
O8.5<br />
Schlegel, Kristina 156<br />
Schloegelh<strong>of</strong>er,<br />
Monika<br />
152<br />
Schmouth, Jean-<br />
Francois<br />
S3.5, 290<br />
Schnack, Hugo G. 85<br />
Sch<strong>of</strong>ield, Peter P2.1<br />
Scholte, Evert 31<br />
Schork, Andrew 169<br />
Schork, Nicholas S6.3, S13.1,<br />
S13.2, S13.5,<br />
O10.4, 64, 88,<br />
157, 169, 249,<br />
259, 264<br />
Schork, Ryan 259<br />
Schosser, Alexandra O1.3, O11.1, 143,<br />
152<br />
Schreiber, Stefan 119<br />
Schuckit, Marc S16.6, S16.7<br />
Schulze, Katja 83, 236<br />
Schulze, Thomas S14.3, S14.4,<br />
O2.2, O5.5,<br />
O11.6, 30, 148,<br />
157, 160, 165, 190<br />
Schumacher, Johannes 30<br />
Schumann, Gunter P1.2, O14.1, ECI<br />
2, 281<br />
Schwab, Sibylle<br />
Gabriele<br />
57, 192, 245<br />
Scolnick, Ed ECI 17<br />
Scott, Adrian Phillip 192<br />
Scott, Ashley A. S13.5, 88<br />
Scott, Sarah 4<br />
Seaton-Smith,<br />
Kimberly<br />
275<br />
Sebat, Jonathan P3.2, O13.5<br />
Segall, Judith O6.2
Segall, Samantha 275<br />
Segurado, Ricardo 12<br />
Seidman, Larry 249<br />
Seifuddin, Fayaz S14.1, 154, 257,<br />
263<br />
Seitz, Christiane O4.1<br />
Sens-Espel, Roser 140<br />
Sergeant, Joseph 11<br />
Serretti, Alessandro 44, 140, 185, 186,<br />
187<br />
Service, Susan S10.3<br />
Setó, Sonia 248<br />
Severin, Emilia 34<br />
Severino, Giovanni 162<br />
Severinsen, Jacob 212<br />
SGENE Consortium,<br />
The<br />
S15.1<br />
Sha, Li 216<br />
Shaffer, Lisa O6.6<br />
Shah, Abhishek O5.4<br />
Shah, N Jon 86<br />
Shaheen, S-M S10.5<br />
Shaikh, Madiha 83, 236<br />
Shaikh, Sajid 202<br />
Sham, Pak 54, 55<br />
Sharad, Shashwat 112<br />
Sharma, Rajiv S2.4<br />
Sharp, Frank R. ECI 4<br />
Sharp, Sally 59, 156<br />
Shaw, Duncan 203<br />
Shaw, Marian S13.5<br />
Shekhtman, Tatyana 56, 201<br />
Shen, Elaine 232<br />
Shen, Lei O2.4<br />
Shen, Ling S1.3<br />
Shen, Pei-Hong O16.1<br />
Shi, Jianxin 115, 245<br />
Shi, Yongyong O6.1, O7.1, 38<br />
Shianna, Kevin O11.3, 254<br />
Shimada, Takafumi 29, 35, 37, 177<br />
Shimo, Hirochika 121, 123, 124<br />
Shin, Hee Jung 133<br />
Shinkai, Takahiro 268, 269, 271, 272<br />
Shiokawa, Nari 123, 124<br />
Shirazi, Elham 97<br />
Shrestha, Payas 240<br />
Shtir, Corina 15, 17<br />
Shyn, Stanley S1.2<br />
Sibony, David 191<br />
Sidhu, Shrada 111<br />
Siever, Larry O1.7, 249<br />
Sigmund, Jessica<br />
Charlotte<br />
255, 256<br />
Silberberg, Gilad 126<br />
Silverman, Jeremy M. 71, 115, 245, 249<br />
Simmons, Andrew O17.4<br />
Simon, Mariella O5.1<br />
Simonson, Matthew 246<br />
Simpson, Elizabeth M. S3.5<br />
Simpson, George 239<br />
Sims, Rebecca O17.1<br />
Singh, Karun K. S15.5<br />
Singhapakdi, Kanya 67<br />
Singleton, Andrew O5.5<br />
Sinke, Richard 81<br />
Sinkus, Algimantas 109<br />
Sinkute, Gintare 109<br />
Sironi, M. O12.4<br />
Sitnikova, Tatiana S12.3, 240<br />
Sitskoorn, Margriet 81<br />
Sjöholm, Louise O1.2, O7.3, O9.1<br />
Sklar, Pamela O2.1, O12.3, ECI<br />
17, 118, 131, 159,<br />
224, 225<br />
Skup, Martha 163<br />
Slaats-Willemse,<br />
Dorine<br />
2<br />
Slager, Susan S1.2<br />
Slifer, Michael O17.2<br />
Sliwa, Karen O10.2<br />
Smalley, Susan 15, 17<br />
Smith, Erin 157, 169<br />
Smith, Moyra O5.1<br />
Smith, Rebecca O14.5, 190<br />
Smith, Stevens ECI 7<br />
Smolka, Michael 197<br />
Smoller, Jordan P4.7, S14.6, 118<br />
Snyder, Michael 130<br />
Soares, Dinesh O5.2, 208<br />
Soda, Takahiro S15.5<br />
Sonuga-Barke,<br />
Edmund<br />
11<br />
Soon, Siew Choo ECI 1<br />
Sora, Ichiro 274<br />
Sørensen, Karina<br />
Meden<br />
O8.1<br />
Soria, Virginia 40<br />
Soronen, Pia O1.5, O7.3<br />
Souery, Daniel S1.1, O2.5, 140,<br />
190<br />
Spanagel, Rainer 197<br />
Specht, Michael O3.2<br />
Spector, TD 114<br />
Spirito, Anthony 62<br />
Sprock, Joyce 207<br />
Squassina, Alessio 162<br />
Strik Lievers, L. O12.4<br />
St. Clair, David S15.3, O5.2, O5.3,<br />
O6.1, O10.3, 237<br />
Stanford, Clare 59<br />
Starr, John O5.2, 74, 208<br />
State, Matthew S10.3<br />
Steele, CJM S14.4, ECI 19<br />
Steer, C. 32<br />
Stein, Dan S10.2<br />
Steinhausen, Hans-<br />
Christoph<br />
11<br />
Stergiakouli,<br />
Evangelia<br />
1<br />
Stern, Hal 264<br />
Stewart, S. Evelyn S10.1, S10.2,<br />
S10.4, S10.5<br />
Steyaert, Jean O13.2, 31<br />
Stice, Eric 182<br />
Stiedl, Oliver O13.3<br />
Stitzel, Jerry 69<br />
Stöcker, Tony 86<br />
Stojanovic, Mirjana 152<br />
Stokowski, Renee O16.4<br />
Stolerman, Ian 24<br />
Stone, William 249<br />
Straarup, Steen E. O1.1<br />
Straub, Richard O6.3, 219, 252<br />
Strauss, John 28<br />
Strengman, Eric 81, 234<br />
Strohmaier, Jana S14.4, 160<br />
Stroup, T. Scott 229<br />
Sturgess, Jessica E. S11.5<br />
Subedi, Janardan S12.3, 240<br />
Sudi, Jyotsna ECI 12<br />
Sudic, Diana 230<br />
Sugawara, Hiroko O1.4<br />
Sugaya, Nagisa 29<br />
Sugiyama, Toshiro 37<br />
Suhl Kristensen, Ann 27<br />
Sullivan, Patrick P4.2, S4.1, S4.3,<br />
O2.6, O12.3, 23,<br />
25, 147, 224, 225,<br />
229<br />
Sun, Cuie O3.5<br />
Sun, Jingchun 42, 266, 267<br />
Sung, In-Kyung 151<br />
Sur, Mriganka S3.6<br />
Surakka, Ida O3.4<br />
Suvisaari, Jaana O3.4<br />
Svenningsson, Per 92<br />
Swaab, Hanna O13.3, O13.4<br />
Swan, Gary O16.4<br />
Swanson, Beryl 232<br />
Swerdlow, Neal 207, 249<br />
Syed, Sharifah O4.4, 19<br />
Székely, Judit 50<br />
Szeszko, Philip O8.6<br />
Taillefer, Stephanie S10.5<br />
Takaki, Manabu 274<br />
Takeda, Masatoshi 215<br />
Talati, Ardesheer ECI 6<br />
Talib, Leda 73<br />
Tamang, Swarneem 240<br />
Tamás, Zsuzsa 50<br />
Tamashiro, Kellie 99<br />
Tang, Pek Yee ECI 1, 217, 226<br />
Tang, Yilang 79<br />
Tanii, Hisashi ECI 11, 29<br />
Tassa, Carlos S15.5<br />
Tatarelli, Roberto 153<br />
Tatro, Erick S7.3, 213<br />
Tatsumi, Masahiko 66<br />
Tavian, Daniela 188<br />
Taylor, Grantley 80<br />
Taylor, Stephan S11.1<br />
Tee, Shiau Foon ECI 1, 217, 226<br />
Tenesa, Albert 74<br />
Tenore, Christopher O5.4<br />
Teraishi, Toshiya 66<br />
Terwisscha van<br />
Scheltinga, Afke F.<br />
227<br />
Tesli, Martin 145<br />
Tewari, Deepshikha 78<br />
Tewhey, Ryan S. S13.5<br />
Thapar, Anita O4.3, O4.4, 1, 19,<br />
59<br />
Thiagalingam, Sam O14.4<br />
Thiselton, Dawn 179<br />
Thode, Kirstin O9.8<br />
Thomsen, Jane 39
Thomson, Pippa 51, 208<br />
Thrall, Jenny O11.3, 254<br />
Thrush, Carol 106<br />
Tiemeier, Henning O7.2<br />
Tieran, V. 233<br />
Tikhomorov, Anna S10.3<br />
Tischfield, Jay S10.3, S16.1,<br />
S16.2, S16.3,<br />
S16.4, S16.7<br />
Tiwari, Arun K. S11.5<br />
Tobar, Salwa 243<br />
Tobin, Claire 6<br />
Tochigi, Mamoru 29<br />
Todd, Richard 15, 17<br />
Todorov, Alexandre 15, 17, 277<br />
Tokunaga, Katsushi 29, 35<br />
Tomita, Yasuyuki 215<br />
Tomiyasu, Akiyuki 121, 123, 124<br />
Tooney, Paul S7.2<br />
Topol, Eric J. S13.5, 64<br />
Torkamani, Ali S13.5<br />
Torri, Federica O12.4, 132, 233,<br />
Toulopoulou,<br />
Timothea<br />
Tourette GWAS<br />
Consortium<br />
238<br />
83<br />
S8.3<br />
Toye, Caroline 10<br />
Traskman-Bendz, Lil O10.1, O10.5<br />
Treutlein, Jens 86, 197<br />
Troakes, Claire 72<br />
Tropea, Daniela S3.6<br />
Tsai, Li-Huei S15.5<br />
Tsai, Shih-Feng 205<br />
Tsuang, Debby 249<br />
Tsuang, Ming S6.3, 213, 249<br />
Tsutsumi, Atsushi 82, 193<br />
Turck, Chris S6.1, O12.2<br />
Turetsky, Bruce 249<br />
Turner, Jessica O6.2, 63, 132,<br />
238, 264<br />
Turner, Norris 199<br />
Twamley, Elizabeth 146, 242<br />
Twyman, Roy 199<br />
Uchimura, Naohiko 274<br />
Uchiyama, Hir<strong>of</strong>umi 66<br />
Ueda, Junko O1.4, 94<br />
Uenishi, Hiroyuki 82<br />
Ueno, Shu-ichi 121, 123, 124<br />
Uher, Rudolf S1.1, O1.3, O2.5,<br />
O7.4, O11.1, 102,<br />
143, 190<br />
Uhl, George 183, 273<br />
Uhr, Manfred S1.4, O3.2, O15.1<br />
Ujike, Hiroshi 274<br />
Ukai, Wataru 94<br />
Umekage, Tadashi 29, 37, 177<br />
Unschuld, Paul G. O3.2<br />
Urban, Alexander<br />
Eckehart<br />
130<br />
Urretavizcaya, Mikel 40<br />
Utge, Siddheshwar O1.5<br />
Utsunomiya, Kensuke 268, 269, 272<br />
Vacic, Vladimir O13.5<br />
Vakkalanka, Krishna O6.3, 252<br />
Valero, Joaquín O6.4, 40, 248<br />
Vallada, Homero ECI 8, 104, 113,<br />
276, 278<br />
Vallender, Eric 68<br />
Valvassori, Samira 75<br />
van Baal, G. Caroline<br />
M.<br />
85<br />
van Beck, Margaret O5.2<br />
van Beijesterveldt,<br />
CEM<br />
S8.1<br />
van Berckelaer-Onnes,<br />
Ina<br />
31<br />
van den Oord, Edwin<br />
JCG.<br />
O2.6, O3.5, ECI 3,<br />
23, 42, 223, 229<br />
van der Does, A.J.W. 60<br />
van Duijn, Cornelia O7.2, 114, 147<br />
van Dyck, Richard 147<br />
van Engeland, Herman O13.3, O13.4<br />
van Haren, Neeltje<br />
E.M.<br />
227<br />
van Lith, Hein O13.3<br />
van Rooij, F. 114<br />
van 't Slot, Ruben 81<br />
VandeBerg, John S12.3, 240<br />
Vasquez, Alejandro 11<br />
Vassos, Evangelos 153<br />
Vawter, Marquis S6.5, O7.3, 238<br />
Vederman, Aaron 89, 161<br />
Veijola, Juha ECI 2<br />
Velders, Fleur O7.2<br />
Veltman, Joris O8.3<br />
Verge, Begoña 248<br />
Verhulst, Frank O7.2<br />
Vetró, Ágnes 50, 202<br />
Vetuz, Glen 10<br />
Victor, Marcelo M. 14<br />
Videtic, Alja 49<br />
Vietan, Cassandra 275<br />
Vilella, Elisabet O6.4, 40, 248<br />
Villa, Catalina O5.4<br />
Vincent, John ECI 15, 158, 173<br />
Vine, Anna ECI 17<br />
Visscher, Peter O5.2, 74, 208<br />
Vladimirov, Vladimir<br />
I.<br />
O2.6, 179<br />
Vogler, Christian 255, 256<br />
von Plessen, Kerstin 8<br />
Vorstman, Jacob O13.4<br />
Vukcevic, Damjan O10.3<br />
Waddington, John S3.3<br />
Wade, Rachel 43<br />
Wagner, Joseph 84<br />
Wagner, Michael S10.4, O3.3<br />
Waite, Roger 182<br />
Walitza, Susanne O4.1, O11.6<br />
Wallace, Douglas O5.1<br />
Walsh, Dermot O16.2, ECI 3, 179,<br />
223, 245<br />
Walshe, Muriel 83, 236<br />
Walss-Bass, Consuelo O9.8<br />
Walters, James S3.1, S9.1<br />
Walther, Donna 183<br />
Wand, Gary 99<br />
Wang, Dai 199<br />
Wang, Jen S16.1, S16.5<br />
Wang, Kai S13.1, S13.2, 32<br />
Wang, Ti O6.1<br />
Wang, Wei 204<br />
Wang, Xiaobin O13.1<br />
Wang, Ying-Chieh O8.4<br />
Warburton, Peter E. 135<br />
Warnke, Andreas O9.6, 5, 174<br />
Watchorn, Amy 6<br />
Watson, Annie 243<br />
Watson, James D. 208<br />
Webb, Bradley O3.5, ECI 3, 42,<br />
223<br />
Webh<strong>of</strong>er, Christian S6.1<br />
Webster, Maree S2.2<br />
Wegener, Gregers 92, 214<br />
Wei, Jun 203<br />
Weinberger, Daniel O6.3, 219, 252<br />
Weiner, Michael 63<br />
Weinstein, Shauna O1.7<br />
Weissflog, Lena O9.6, 5<br />
Weissman, Myrna ECI 6<br />
Weissman, Sherman 130<br />
Wellcome Trust Case<br />
Control Consortium,<br />
WTCCC<br />
O5.3, O10.3<br />
Weller, Andrew E. 41<br />
Wells, Tony T. 58<br />
Wen, Chun-Chiang 87, 205, 228, 235<br />
Wendland, Jens S14.4, O11.6<br />
Werge, Thomas O8.1, 212<br />
Wessel, Jennifer O16.4<br />
Whalley, Lawrence 74<br />
Wheelan, Sarah 150<br />
White, Angela O5.2<br />
Wickramaratne, Priya ECI 6<br />
Widyawati, Ika 57<br />
Wiedemann, Klaus 197<br />
Wienker, Thomas F. 120<br />
Wigg, Karen O14.3, 171<br />
Wilde, Alex P2.4<br />
Wildenauer, Dieter<br />
Bernd<br />
57, 192, 245<br />
Wilhelm, Kay P2.1<br />
Wilhelmsen, Kirk 225, 275<br />
Willcutt, Erik 103<br />
Willemsen, Gonneke S4.5, 147<br />
Williams, Ben O9.7<br />
Williams, Hywel O12.1, 1, 210, 215<br />
Williams, Ian 83, 236<br />
Williams, Julie O17.1<br />
Williams, Nigel O4.4, O12.1, 19,<br />
245, 247<br />
Williams-Blangero,<br />
Sarah<br />
S12.3, 240<br />
Williamson, Douglas O9.8<br />
Wilson, Nathan S3.6<br />
Winchester, Catherine 45<br />
Winkler, Anderson S12.4<br />
Witasp, Anna 92<br />
Witt, Stephanie 119, 197<br />
Wittchen, Hans-Ulrich 100<br />
Wodarz, Norbert 197<br />
Woldbye, David 27, 30<br />
Wong, Chloe O9.5, O9.7<br />
Wood, Alexis 11
Wood, Joel 243<br />
Wormley, B 245<br />
Woudstra, Saskia S4.1<br />
Wray, Naomi S16.2, 147<br />
Wright, Fred A. 25<br />
Wrobel, Bozena 239<br />
Wu, Joseph O7.3<br />
Wu, Xiaodong 199<br />
Xia, Xuhua 178<br />
Xie, Changchun O10.2<br />
Xu, Xiaohui 170<br />
Xuei, Xiaoling ECI 14<br />
Yamada, Kenji 268, 269, 272<br />
Yamada, Kiy<strong>of</strong>umi 231<br />
Yamada, Mitsuhiko 274<br />
Yamada, Shinnosuke 209, 231<br />
Yamamoto, Maki 58<br />
Yamamoto, Noriko 66<br />
Yamanouchi, Yoshio 215<br />
Yan, Han 204<br />
Yan, Jia S16.7<br />
Yang, Ueng-Cheng 87, 205, 235<br />
Yang, Wei-Chih 205<br />
Yang, Xiaoju 99<br />
Yankova, Elena 277<br />
Yaqubi, Sahab O14.4<br />
Yassin, Amal 243<br />
Yasui-Furukori, Norio 176<br />
Yehyawi, Nabeel S6.3<br />
Yilmaz, Öznur O12.2<br />
Yilmaz, Zeynep 20<br />
Yim, Seon-Jin 250<br />
Yoav, Kohn 206<br />
Yokoyama, Jennifer S1.2<br />
Yolken, Robert S2.2<br />
Yoneda, Hiroshi 82, 193<br />
Yoon, Seungtai O13.5<br />
Yoshikawa, Takeo O2.3<br />
Yoshimi, Akira 209, 231<br />
Yoshimura, Reiji 215<br />
Young, Allan O5.3, O10.3<br />
Young, James O12.5<br />
Younkin, Steven O17.1<br />
Yu, Dongmei S10.3, 240<br />
Yu, Lan 135<br />
Yuan, Nicole P O16.1<br />
Yuan, Qiaoping O1.7, O16.1<br />
Yusuf, Salim O10.2<br />
Zaharieva, Irina O4.4, 19<br />
Zai, Clement C. S11.5, 191, 244<br />
Zaitlen, Noah 157<br />
Zammit, Stanley O12.1<br />
Zandi, Peter S14.1, S14.3,<br />
O11.4, 154, 157,<br />
257, 263<br />
Zavos, Helena M.S. 144<br />
Zeng, Hongkui 232<br />
Zeng, Zhen O6.1<br />
Zeni, Cristian 13<br />
Zerres, Klaus 86<br />
Zhang, Dandan S2.3, S2.5, S5.3,<br />
98, 127, 180<br />
Zhang, Haitao S13.1<br />
Zhang, Jian-Ping S9.3<br />
Zhang, Michelle O10.2<br />
Zhang, Peng 157<br />
Zhang, Rui 204<br />
Zhang, Yaoyang S6.1<br />
Zhang, Ying 130<br />
Zhang, Zhao O6.1<br />
Zhang-James, Yanli S8.1, S8.3<br />
Zhao, Hongyu ECI 16<br />
Zhao, Qian O6.1, O7.1<br />
Zhao, XinZhi O6.1<br />
Zhao, Zhongming O2.6, O3.5, ECI 3,<br />
42, 223, 266, 267<br />
Zhong, Nan-Nan 204<br />
Zhou, Kaixin 11<br />
Zhou, Qiang O13.1<br />
Zhou, Zhifeng O1.7<br />
Ziaolhagh, Ali 158<br />
Zimmer, Andreas O12.2, 120<br />
Zimmermann, Petra O15.1, 100, 101<br />
Zimmermann, Ulrich<br />
S.<br />
197<br />
Zitman, Frans 60, 147<br />
Zlojutro, Mark S12.5, 76<br />
Zoë, Prichard 178<br />
Zohar, Joseph 140<br />
Zollner, Sebastian 157<br />
Zubaid, Mohammed O10.2<br />
Zuchner, Stephan O3.3<br />
Zupanc, Tomaz 49<br />
Zwiers, Marcel 2