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2008 Barcelona - European Society of Human Genetics

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Molecular and biochemical basis <strong>of</strong> disease<br />

4,8% and 9,7%, relatively, p=0,025) <strong>of</strong> S19W <strong>of</strong> ApoA5 gene polymorphism<br />

between children with risk factors <strong>of</strong> CAD and control group . We<br />

haven’t significant differences in genotypes and alleles distribution <strong>of</strong><br />

A-1131T>C <strong>of</strong> ApoA5 gene polymorphism in boys, girls and total group<br />

between children with risk factors <strong>of</strong> CAD and control group .conclusion:<br />

children with risk factors <strong>of</strong> metabolic syndrome had more frequent<br />

SS genotype and S allele S19W <strong>of</strong> ApoA5 gene polymorphism<br />

than in healthy children .<br />

P06.113<br />

Influence <strong>of</strong> TNF (G-308A) polymorphism on level <strong>of</strong> a tNF-alpha<br />

in blood at chronic diseases <strong>of</strong> lungs and liver<br />

I. A. Goncharova1 , G. N. Seitova2 , E. V. Beloborodova2 , O. P. Bukreeva2 , I. L.<br />

Purlik2 , V. P. Puzyrev1 ;<br />

1Scientific Research Institute <strong>of</strong> Medical <strong>Genetics</strong>, Tomsk, Russian Federation,<br />

2Siberian State Medical University, Tomsk, Russian Federation.<br />

Polymorphism in TNF (G-308A) gene was studied for association with<br />

tumor necrosis factor alpha level in blood <strong>of</strong> patients with chronic viral<br />

hepatitis (n=60) and chronic obstructive pulmonary disease (COPD)<br />

(n=72) . The patients were from Tomsk population . It has been shown<br />

that level <strong>of</strong> TNF-alpha in patients with chronic viral hepatitis depends<br />

on TNF (G-308A) genotype: GG - 137 .9±222 .49; AG - 48 .7±58 .16;<br />

AA -31.0±1.41 (p=0.018). The finding suggests that in patients with<br />

chronic viral hepatitis allele A is associated with smaller intensity <strong>of</strong><br />

an inflammation and fibrosis in a liver. In the patients with COPD, carriers<br />

<strong>of</strong> genotype AG had lower level TNF-alpha in blood at exacerbation<br />

(60,1±20,68) and during remission (75,1±16,56) in comparison<br />

with carriers <strong>of</strong> a genotype GG (193,8±50,65; 370,3±109,4) (p=0,041;<br />

p=0,026) . Genotype AA has not been revealed . Thus, at patients with<br />

COPD allele A is associated with low level TNF-alpha in blood, like in<br />

patients with chronic viral hepatitis . These results are discordant with<br />

known data on association <strong>of</strong> allele A with increased level <strong>of</strong> production<br />

<strong>of</strong> TNF-alpha . There might be several explanations <strong>of</strong> the discrepancy,<br />

including population specificity <strong>of</strong> genetic predisposition to various<br />

diseases and different LD structure in adjacent regions <strong>of</strong> genome<br />

(including 3’-UTR region <strong>of</strong> the gene) in different populations, as well<br />

as different environmental factors that can influence realization <strong>of</strong> a<br />

“genetic background” .<br />

P06.114<br />

somatic genome structural variations<br />

V. Sgaramella, J. L. Williams, F. Salamini;<br />

CERSA, Lodi, Italy.<br />

The notion that cells <strong>of</strong> common ancestry harbour genomes different<br />

from each other is strengthening . The differences may be either scheduled<br />

(e . g ., immune response), or unscheduled (e .g ., damage effects),<br />

and alter DNA structures . Simple repeats, interspersed sequences,<br />

(retro)transposons, pseudogenes, transgenes, etc, may assume unusual<br />

non-B conformations, affecting recognition by DNA-metabolizing<br />

enzymes . This may trigger a crescendo <strong>of</strong> variations, from base substitutions<br />

to aneuploidy. Epigenetics modifies chromatin and modulates<br />

transcription in somatic cells, but can be erased in germ cells . The<br />

resulting RNA may activate novel priming and retrotranscription thus<br />

concurring to genome rearrangements, competent to drive evolution<br />

and contribute to development . The resulting somatic genome structural<br />

variations (SGSV) may accelerate cell duplication and favour<br />

clonal amplification, occasionally optimizing some functions, but <strong>of</strong>ten<br />

deranging growth . Consequently, multicellular organisms are bound to<br />

be eventually genomic mosaic .<br />

We report on: 1. the amplification <strong>of</strong> the genome <strong>of</strong> as few cells as<br />

possible <strong>of</strong> diverse somatic tissues, as a prerequisite for detecting<br />

SGSV; 2. their identification and characterization. For step 1, we have<br />

developed a modified isothermal whole genome strand displacement<br />

amplification based on the circularization <strong>of</strong> restricted genomes. For<br />

step 2, we are investigating two approaches, based on AFLP and differential<br />

2D-gel electrophoresis; others are being considered such as<br />

mass sequencing and comparative genome hybridization. Benefits are<br />

expected in basic sciences (soma-germline-environment crosstalk,<br />

mechanisms <strong>of</strong> gene copy and chromosome number variations, evodevo),<br />

as well as applications (diagnosis, therapy, stem cells, transgenetics,<br />

cloning, plant and livestock breeding) .<br />

P06.115<br />

Cross-validation filtering for genome-wide association scan<br />

Z. Vitezica1,2 , M. Martinez1,3 ;<br />

1 2 INSERM U563, Toulouse, France, Université Paul Sabatier III, Toulouse,<br />

France, 3Université Paul Sabatier III, Toulouse, France.<br />

Genome-wide association studies (GWAS) with hundreds <strong>of</strong> thousands<br />

<strong>of</strong> markers are now feasible . In a one-stage study design, stringent<br />

significance thresholds are used because <strong>of</strong> the multiple-test problem.<br />

Hence, GWAs have low power to detect uncommon disease genes<br />

with low effects, even in relatively large datasets (several thousands<br />

<strong>of</strong> cases and controls) . Alternative approaches have been proposed<br />

(Satagopan et al., 2002; Skol et al., 2005). Briefly, the full set <strong>of</strong> markers<br />

is tested in a fraction <strong>of</strong> the dataset only . A set <strong>of</strong> “best” markers,<br />

to be followed-up in either an independent (two-stages design) or an<br />

increased (joint-analysis design) sample, is identified from pointwise<br />

P-values. Yet, relaxing the significance thresholds may not compensate<br />

decrease in power due to the sample size reduction in stage-1 .<br />

Here, we propose to use the consistency in the “associated” allele as a<br />

new criterion to select the “best” markers . The Consistency Rate (CR)<br />

is the number <strong>of</strong> times that allele 1 is found to be the risk allele out <strong>of</strong><br />

n sub-samples . Each marker is ranked according to its CR value . Nondisease<br />

markers are expected to have CR values <strong>of</strong> 50% . Thus, in our<br />

approach, the “best” markers are those with CR values significantly<br />

different from 50%. We study the statistical properties <strong>of</strong> our filtering<br />

approach by simulations, using a panel <strong>of</strong> 30,000 SNPs from HapMap<br />

data, and under different conditions (disease gene effects; sample sizes;<br />

number <strong>of</strong> sub-samples n) . We report type I error and power rates<br />

<strong>of</strong> our filtering and <strong>of</strong> other approaches.<br />

P06.116<br />

Identification <strong>of</strong> novel susceptibility loci 7q31 and 9p13 for<br />

bipolar disorder in an isolated population<br />

O. M. Palo 1 , P. Soronen 1 , K. Silander 1 , T. Varilo 1 , K. Tuononen 1 , M. Perola 1 , T.<br />

Kieseppä 2 , T. Partonen 2 , J. Lönnqvist 2,3 , T. Paunio 1,4 , L. Peltonen 1,5 ;<br />

1 FIMM, Institute for Molecular Medicine Finland and National Public Health Institute,<br />

Helsinki, Finland, 2 Department <strong>of</strong> Mental Health and Alcohol Research,<br />

National Public Health Institute, Helsinki, Finland, 3 Department <strong>of</strong> Psychiatry,<br />

Helsinki University Central Hospital, Helsinki, Finland, 4 University <strong>of</strong> Helsinki<br />

and Helsinki University Central Hospital, Department <strong>of</strong> Psychiatry,, Helsinki,<br />

Finland, 5 Wellcome Trust Sanger Institute, Hinxton, Cambridge, United Kingdom.<br />

We performed a linkage analysis on 23 Finnish families with bipolar<br />

disorder and originating from the North-Eastern region <strong>of</strong> Finland, by<br />

using the Illumina Linkage Panel IV (6K) Array . The Panel IV had an<br />

average intermarker spacing <strong>of</strong> 0 .64 cM across the entire genome .<br />

One phenotypic model, broad mood disorder including bipolar I disorder<br />

and recurrent depressive disorder, was used in the analyses . We<br />

found genome-wide significant evidence <strong>of</strong> linkage to chromosomes<br />

7q31 (LOD = 3 .20) and 9p13 .1 (LOD = 4 .02) . Analyzing the best markers<br />

on the full set <strong>of</strong> 179 Finnish bipolar families supported the findings<br />

on chromosome 9p13 (maximum LOD score <strong>of</strong> 3 .02 at position 383<br />

Mb immediately upstream <strong>of</strong> the centromere . This region harbors several<br />

interesting candidate genes, including contactin associated protein-like<br />

3 (CNTNAP3) and aldehyde dehydrogenase 1 (ALDH1B1) .<br />

For the 7q31 locus, only one extended pedigree and seven families<br />

originating from the same late settlement region <strong>of</strong> Finland provided<br />

evidence <strong>of</strong> linkage, suggesting that a gene predisposing to bipolar<br />

disorder is enriched in that region <strong>of</strong> Finland . The loci on the centromeric<br />

region <strong>of</strong> 9p13 and telomeric region <strong>of</strong> 7q31 may represent novel<br />

susceptibility loci for mood disorder in the Finnish population .<br />

P06.117<br />

mapping <strong>of</strong> a locus for Geroderma Osteodysplasticum to<br />

chromosome 1q23-q25<br />

F. Brancati 1,2 , V. Fodale 3 , G. Zampino 4 , M. Tartaglia 3 , B. Dallapiccola 1,5 ;<br />

1 IRCCS CSS Mendel Institute, Rome, Italy, 2 Ce.S.I. e Dipartimento di Scienze<br />

Biomediche, Fondazione G. d’Annunzio, Chieti, Italy, 3 Dipartimento di Biologia<br />

Cellulare e Neuroscienze, Istituto Superiore di Sanità, Rome, Italy, 4 Istituto di<br />

Clinica Pediatrica, Università Cattolica del Sacro Cuore, Rome, Italy, 5 Dipartimento<br />

di Medicina Sperimentale, Università La Sapienza, Rome, Italy.<br />

Geroderma Osteodisplasticum (GO; OMIM%231070) is a rare autosomal<br />

recessive condition described so far in less than 30 patients<br />

whose molecular defect is still unknown . GO is characterized by pre-

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