2008 Barcelona - European Society of Human Genetics

2008 Barcelona - European Society of Human Genetics 2008 Barcelona - European Society of Human Genetics

24.08.2013 Views

Genomics, technology, bioinformatics From all the subjects 4745 samples have been tested for PCR-functionality and monitored in case of sample mix-ups or contamination . During QC only 0,8% of the samples had to be excluded . P08.08 Using the bioinformatic tools to choose the sNPs with highly possible phenotypic effect D. Ozhegova1 , M. Freidin1 , V. Puzyrev2 ; 1 2 Siberian State Medicin University, Tomsk, Russian Federation, Research Institute of Medical Genetics, Tomsk, Russian Federation. Common polymorphisms, such as SNPs, in human gene promoters are the significant factors influencing differential gene expression underlying natural phenotypic variation . A number of bioinformatic tools were developed recently, which are useful in prediction of “on its own” functionally important SNP in promoters utilizing the knowledge about transcription factors binding the DNA . We used such the resources for a pilot search of functional SNPs in seven immune response modifying genes: STAT1, IL10, IL12B, IFNG, IFNGR1, MCP-1, TLR-2 . Firstly, all 61 the SNPs were chosen in the promoters of these genes using dbSNP (http://www .ncbi .nlm .nih .gov/SNP), and Ensembl (http://www . ensembl.org). Then, the selection of a minimal sufficient number of SNPs was done using SNPselector (http://www .snpselector .Duhs . duke .edu) and PupaSNPFinder (http://www .pupasnp .org) . Finally, Genomatix MathInsprector (http://www .genomatix .de/matinspector .html) was utilised to predict a possible transcription factors (TFs) binding efficiency change due to the SNPs chosen. Eighteen SNPs in promoter region of seven genes were analyzed by MathInspector and it was found that the nucleotide substitution in seven SNPs caused new binding sites for TFs . The potential functionality of these SNPs is under current experimental validation in our group . Thus, bioinformatic approaches to the analysis of gene promoters allows reducing the search space for candidate SNPs and focusing on the SNPs with specific characteristics. Such in silico analysis facilitate understanding of specific features of gene promoters under the study and provide information on the genes functional variability . P08.09 Breast cancer diagnostics: cscE screening using the BioNumerics® software. K. Janssens, B. Pot, L. Vauterin, P. Vauterin; Applied Maths NV, Sint-Martens-Latem, Belgium. INTRODUCTION . CSCE technology can be used for indirect mutation scanning (e .g . BRCA1/2 mutation detection) . The method is sensitive and more rapid than full gene sequencing and is therefore time and cost saving . By the use of multi-capillary sequencers, high throughput routine screening becomes feasible, but requires the availability of reliable automatic mutation detection software . DATA ANALYSIS is performed directly on the ABI .FSA files. Files are imported in batches through the use of a BioNumerics® plugin, a script based dynamic extension of the software that uses a file naming strategy to automatically import up to 200 traces with up to 20 samples each . BioNumerics® provides an adapted database environment to store all imported data and takes care of all data management activities . The plugin offers a proper analysis tool for the mutation detection: Peak matching is done using a proprietary algorithm that uses five user-adjustable curve parameters allowing to compare normalized peak shapes . The result is a fast, sensitive and reliable peak matching that can be used to discriminate typical ‘wild type samples’ from ‘heterozygous mutants’ . For each target PCR product, one or more target variants can be defined, allowing the creation of polymorphic variants. The result is displayed in a clear overview report with color indication of reference peaks, positive matches, mismatches, failed peaks and problem cases for which verification is required. For the latter click and zoom functions are available to quickly evaluate all matching parameters on the screen . P08.10 High Quality mutation Detection L. Xu, S. Jankowski, E. Fraser, E. Vennemeyer; Applied Biosystems, Foster City, CA, United States. Accurate mutation calling and quality data have been identified as key components of direct sequencing by many clinical researchers . We used a new bioinformatics software, Variant Reporter TM to detect muta- tions in large volume of data sets . This analysis tool provides improved algorithm for SNP detection that are trained to discover accurate sequence variations and report review status for traceability . It helps to create expressive Quality Control Data reports for large data sets and create annotated projects that contain trace files and data annotation. Data sharing abilities between users, such as between a bioinformatics team and end users, will be demonstrated. The guided workflow gives a new or advanced user confidence in a short period of time. In this poster we will highlight how core team can use the new Quality Control metrics and how end users can share the accurate results . P08.11 Prevalence of mutations in troponin t (tNNt2) and troponin i (TNNI3) in Czech hypertrophic cardiomyopathy (HKMP) patients. L. Benesova 1 , K. Curila 2 , M. Penicka 2 , D. Zemanek 3 , P. Tomasov 3 , M. Minarik 1 ; 1 Laboratory for molecular genetics and oncology, Genomac International, Ltd., Prague, Czech Republic, 2 Cardiocenter, Charles University, Prague, Czech Republic, 3 Cardiovascular center, Faculty Hospital Motol, Prague, Czech Republic. Hypertrophic cardiomyopathy (HCMP) is a serious cardiovascular disease with autosomal dominant inheritance, caused by mutation of genes coding for structural or regulation proteins of sarcomers of the heart muscle . Troponin T (TNNT2) and Troponin I (TNNI3) are important part of sarcomere of heart muscle and mutations in their genes are responsible for development of HCM . We have performed complete sequencing of TNNT2 and TNNI3 genes in 100 HCMP patients, previously diagnosed by Electrocardiography . We have recorded a total of 4 positives . Of the different mutation types detected, there was 1 novel mutation, which, to date, was not recorded in any of the major HCMP databases . A wide variability of the mutation malignancy was recorded with respect to the disease manifestation for different mutation types . This project was supported by the Czech Ministry of Health Grant Agency project no .NR9164 . P08.12 Disentangling molecular relationships with a causal inference test J. Millstein, B. Zhang, J. Zhu, E. E. Schadt; Rosetta Inpharmatics LLC, wholy owned subsidary of Merck & Co., Inc., Seattle, WA, United States. There has been intense effort over the past couple of decades to identify loci underlying quantitative traits as a key step in the process of elucidating the etiology of complex diseases . However, a stumbling block has been the difficult question of how to leverage this information to identify molecular mechanisms that explain quantitative trait loci (QTL) . We have developed a formal statistical test to quantify the strength of a causal inference pertaining to a measured factor, e .g ., a molecular species, which potentially mediates the causal association between a locus and a quantitative trait . We applied the test to infer causal relationships between transcript abundances and obesity traits in mice and also to reconstruct transcriptional regulatory networks in yeast . We treat the causal inference as a ‘chain’ of mathematical conditions that must be satisfied to conclude that the potential mediator is causal for the trait, where the inference is only as good as the weakest link in the chain . This perspective naturally leads to the Intersection-Union Test framework in which a series of statistical tests are combined to form an omnibus test . Using computer simulated mouse crosses, we show that type I error is low under a variety of non-causal null models . We show that power under a simple causal model is comparable to other model selection techniques as well as Bayesian network reconstruction methods . We further show empirically that this method compares favorably to TRIGGER for reconstructing transcriptional regulatory networks in yeast, recovering 6 out of 8 known regulators . P08.13 Identification of a potential regulatory element forming a hairpin structure within the 3’UTR of CDK5R1 M. Venturin 1 , S. Moncini 1 , P. Zuccotti 1 , A. Nicolin 2 , P. Riva 1 ; 1 Department of Biology and Genetics for Medical Sciences, University of Milan, Milan, Italy, 2 Department of Pharmacology, Chemotherapy and Medical Toxicology, University of Milan, Milan, Italy. CDK5R1 encodes for p35, a regulatory subunit of CDK5 kinase, which is fundamental for normal neural development and function . CDK5R1

Genomics, technology, bioinformatics has been implicated in neurodegenerative disorders and proposed as a candidate gene for mental retardation . The remarkable size of CDK5R1 3’UTR, which is highly conserved in mammals and contains AREs and miRNA target sites, suggests a role in post-transcriptional regulation of its expression . The insertion of CDK5R1 3’UTR into luciferase gene causes a decreased luciferase activity in four transfected cell lines . A 3’UTR region (named C2) leads to a very strong luciferase mRNA reduction, owing to a significantly lower half-life, indicating accelerated mRNA degradation . This fragment was dissected into smaller regions and a 65 bp sequence (C2 .11), in which no known regulatory elements were predicted, has been identified to be responsible of the decreased gene expression . A stable structural motif (forming a hairpin) of C2.11 fragment was predicted by RnaProfile and SFold programs, both starting from the isolated fragment and considering it within the whole 3’UTR . Lowering of luciferase levels for the construct with an intact hairpin structure in contrast with unchanged levels for four mutated/deleted structures suggests that this putative element might really have a regulatory role . Since complementary mutations restoring the hairpin did not affect luciferase activity, we suggest that both the sequence and the structure are essential for the ability of C2 .11 fragment to reduce transcript stability . Further mutagenesis experiments, binding assays and RNAse protection assays will disclose the function of this novel CDK5R1 3’UTR regulatory element . P08.14 computational analysis of structural and non-structural proteins of chikungunya virus - mosquito borne disease as potential target for vaccine K. R. Rupesh1 , K. Mahdieh2 ; 1 2 IFREMER, Plouzane, France, Special Medical Center, Tehran, Islamic Republic of Iran. Chikungunya virus (CHIK), an alphavirus borne by Aedes mosquitoes that produces dengue-like illness in humans, characterized by fever, rash, painful arthralgia, and sometimes arthritis throughout sub- Saharan Africa, Southeast Asia, India, and Western Pacific. Recent widespread geographic distribution, recurrent epidemics, and infection of military personnel, travelers and laboratory staff working with CHIK have indicated need for more understanding and to have safe and efficacious vaccine. In our present study we have analyzed the characteristics of structural and non-structural proteins synthesized by CHIK using computational tools and predicted the potential vaccine candidates . CHIK contains two proteins - non-structural and structural . Computational analysis of non-structural protein revealed that it is 275 .65 kDa hydrophilic protein, pI 6 .841, while that of the structural protein revealed a 138 .88 kDa hydrophilic protein of pI 8 .88 . Antigenic prediction sites on non-structural and structural proteins predicted were examined for their use as vaccine candidates for effective control of the disease . Positions of alpha helix and b-sheets in the secondary structure of the proteins were predicted which laid the path for 3D structural characterization of the target proteins . On analyzing hydropathy plot, structural protein and non-structural protein were found to be hydrophilic . Using nucleotide sequences of the proteins, degenerate primers were designed for its use in PCR based diagnostic identification of the CHIK. Primers designed could find its use as a diagnostic tool for identifying CHIK infected patients specifically. The predicted antigenic sites could be used as potential vaccine candidates . P08.15 cHDWiki: a comprehensive tool to gather and manage cardiogenetic data J. Breckpot1 , R. Barriot2 , B. Thienpont1 , S. Van Vooren2 , L. Tranchevent2 , B. Coessens2 , M. Gewillig3 , Y. Moreau2 , K. Devriendt1 ; 1 2 Center for Human Genetics, Leuven, Leuven, Belgium, Department of Electrical Engineering (ESAT), Catholic University of Leuven, Leuven, Belgium, 3Paediatric Cardiology Unit, Catholic University of Leuven, Belgium, Leuven, Belgium. We present a Wiki based information system designed for the collaborative annotation of genes involved in congenital heart defects (CHD) . In this context, a Wiki has many appealing features such as collaborative user-friendly publication . However, a major obstacle for its use is that, unlike databases, it lacks structure and semantics, which prevents the use of further computational knowledge discovery approaches. To benefit from both the Wiki flexibility and the databasing advan- tages, we extended the MediaWiki platform to allow the inclusion and the interaction with external data and programs . The current online project contains: (i) genes and gene mutations associated to CHDs (local curated database), (ii) links from CHD genes to related patient case reports (local cytogenetic database), (iii) links from CHD genes to publicly available descriptions of copy number variants, (iv) an interactive view of this information on chromosomes . Moreover, CHD candidate genes can be prioritized (Endeavour 1 ) based on easily selectable training genes associated to CHD types . CHDWiki promises to be the central resource/reference for CHD genetics . It can be viewed as a dynamic review of all the knowledge published in this field. Additionally, the Wiki goes further by managing information on promising candidate genes . The CHDWiki will be the most comprehensive resource available on genes associated to CHDs with 48 genes, 40 CHDs and 135 manually curated associations . While initially dedicated to this concrete project, the system is generic and allows the rapid development of Wikis augmented by structured data and analysis results . 1 Aerts et al., Nat Biotech, 2006;24:537 P08.16 copy number variants and gene expression in the mouse E. A. C. Chaignat 1 , C. N. Henrichsen 1 , N. Vinckenbosch 1 , S. Pradervand 1 , M. Ruedi 2 , S. Zoellner 3 , H. Kaessmann 1 , A. Reymond 1 ; 1 Center for Integrative Genomics, Lausanne, Switzerland, 2 Department of Mammalogy and Ornithology, Natural History Museum, Geneva, Switzerland, 3 Department of Biostatistics, University of Michigan, Ann Arbor, MI, United States. Copy number variants (CNVs), defined as large stretches of DNA that vary in number of copies among phenotypically normal individuals, are a source of phenotypic variation . To achieve a more complete mapping of mouse CNVs, we used whole-genome oligonucleotide array comparative genome hybridization to identify CNVs in 13 inbred strains and in 21 wild mice . Using a hidden Markov model, we predicted some 3800 CNV candidate regions, which we subsequently validated using a custom-made array . Thus multiplying by more than three the number of copy-number variable regions previously reported in the mouse genome . To address whether CNVs affect gene expression, we assessed the expression levels of 45’037 transcription units in liver, kidney, brain, heart, lung and testis of of six inbred mouse strains . We found that the variance of the expression levels for each of the recorded tissues is significantly larger for genes mapping inside than for genes mapping outside of CNVs, suggesting that copy number variation affects the variability of gene expression and must be taken into account when considering phenotypic differences between strains . Similarly, the genes mapping on the flanks of the CNVs, despite their not varying in copy numbers, display a modification of their relative expression levels . This phenomenon is effective over several hundreds of kilobases away from a breakpoint . It is present in all assessed tissues and persistent throughout mouse development . Thus our results demonstrate that changes in genome structure influence not only gene dosage but also the expression of neighboring genes . P08.17 Development of taqman® copy Number Assays for copy Number Analysis K. Li, A. Broomer, Y. Wang, C. Xiao, F. Wang, I. Casuga, M. Xia, X. You, M. Bozzini, T. Hartshorne, G. Janaway, J. Tan, P. White, A. Toeppel, E. Spier, C. Chen; Applied Biosystems, Foster City, CA, United States. Copy number variation is an important polymorphism in the human genome that can be associated with genomic disorders or various diseases . Accurate detection of copy number differences is critical for understanding how copy number variation may play roles in diseases such as cancer, immune diseases, and neurological disorders, and also drug response . Although array-based technologies are powerful for genome-wide CNV discoveries and micro-deletion/micro-duplication syndrome studies, more quantitative technologies with high accuracy, specificity, and sample throughput are necessary to validate identified copy number changes and to detect deletions and duplications for large sample sizes in candidate regions or genes . Here we report our progress on the development of TaqMan Copy Number Assays . High quality targets for assay design are selected across the whole human genome . A proprietary assay design pipe-

Genomics, technology, bioinformatics<br />

has been implicated in neurodegenerative disorders and proposed<br />

as a candidate gene for mental retardation . The remarkable size <strong>of</strong><br />

CDK5R1 3’UTR, which is highly conserved in mammals and contains<br />

AREs and miRNA target sites, suggests a role in post-transcriptional<br />

regulation <strong>of</strong> its expression . The insertion <strong>of</strong> CDK5R1 3’UTR into luciferase<br />

gene causes a decreased luciferase activity in four transfected<br />

cell lines . A 3’UTR region (named C2) leads to a very strong luciferase<br />

mRNA reduction, owing to a significantly lower half-life, indicating accelerated<br />

mRNA degradation . This fragment was dissected into smaller<br />

regions and a 65 bp sequence (C2 .11), in which no known regulatory<br />

elements were predicted, has been identified to be responsible<br />

<strong>of</strong> the decreased gene expression . A stable structural motif (forming<br />

a hairpin) <strong>of</strong> C2.11 fragment was predicted by RnaPr<strong>of</strong>ile and SFold<br />

programs, both starting from the isolated fragment and considering it<br />

within the whole 3’UTR . Lowering <strong>of</strong> luciferase levels for the construct<br />

with an intact hairpin structure in contrast with unchanged levels for<br />

four mutated/deleted structures suggests that this putative element<br />

might really have a regulatory role . Since complementary mutations<br />

restoring the hairpin did not affect luciferase activity, we suggest that<br />

both the sequence and the structure are essential for the ability <strong>of</strong><br />

C2 .11 fragment to reduce transcript stability . Further mutagenesis experiments,<br />

binding assays and RNAse protection assays will disclose<br />

the function <strong>of</strong> this novel CDK5R1 3’UTR regulatory element .<br />

P08.14<br />

computational analysis <strong>of</strong> structural and non-structural proteins<br />

<strong>of</strong> chikungunya virus - mosquito borne disease as potential<br />

target for vaccine<br />

K. R. Rupesh1 , K. Mahdieh2 ;<br />

1 2 IFREMER, Plouzane, France, Special Medical Center, Tehran, Islamic Republic<br />

<strong>of</strong> Iran.<br />

Chikungunya virus (CHIK), an alphavirus borne by Aedes mosquitoes<br />

that produces dengue-like illness in humans, characterized by<br />

fever, rash, painful arthralgia, and sometimes arthritis throughout sub-<br />

Saharan Africa, Southeast Asia, India, and Western Pacific. Recent<br />

widespread geographic distribution, recurrent epidemics, and infection<br />

<strong>of</strong> military personnel, travelers and laboratory staff working with<br />

CHIK have indicated need for more understanding and to have safe<br />

and efficacious vaccine. In our present study we have analyzed the<br />

characteristics <strong>of</strong> structural and non-structural proteins synthesized by<br />

CHIK using computational tools and predicted the potential vaccine<br />

candidates . CHIK contains two proteins - non-structural and structural .<br />

Computational analysis <strong>of</strong> non-structural protein revealed that it is<br />

275 .65 kDa hydrophilic protein, pI 6 .841, while that <strong>of</strong> the structural<br />

protein revealed a 138 .88 kDa hydrophilic protein <strong>of</strong> pI 8 .88 . Antigenic<br />

prediction sites on non-structural and structural proteins predicted<br />

were examined for their use as vaccine candidates for effective control<br />

<strong>of</strong> the disease . Positions <strong>of</strong> alpha helix and b-sheets in the secondary<br />

structure <strong>of</strong> the proteins were predicted which laid the path for 3D<br />

structural characterization <strong>of</strong> the target proteins . On analyzing hydropathy<br />

plot, structural protein and non-structural protein were found to be<br />

hydrophilic . Using nucleotide sequences <strong>of</strong> the proteins, degenerate<br />

primers were designed for its use in PCR based diagnostic identification<br />

<strong>of</strong> the CHIK. Primers designed could find its use as a diagnostic<br />

tool for identifying CHIK infected patients specifically. The predicted<br />

antigenic sites could be used as potential vaccine candidates .<br />

P08.15<br />

cHDWiki: a comprehensive tool to gather and manage<br />

cardiogenetic data<br />

J. Breckpot1 , R. Barriot2 , B. Thienpont1 , S. Van Vooren2 , L. Tranchevent2 , B.<br />

Coessens2 , M. Gewillig3 , Y. Moreau2 , K. Devriendt1 ;<br />

1 2 Center for <strong>Human</strong> <strong>Genetics</strong>, Leuven, Leuven, Belgium, Department <strong>of</strong> Electrical<br />

Engineering (ESAT), Catholic University <strong>of</strong> Leuven, Leuven, Belgium,<br />

3Paediatric Cardiology Unit, Catholic University <strong>of</strong> Leuven, Belgium, Leuven,<br />

Belgium.<br />

We present a Wiki based information system designed for the collaborative<br />

annotation <strong>of</strong> genes involved in congenital heart defects (CHD) .<br />

In this context, a Wiki has many appealing features such as collaborative<br />

user-friendly publication . However, a major obstacle for its use is<br />

that, unlike databases, it lacks structure and semantics, which prevents<br />

the use <strong>of</strong> further computational knowledge discovery approaches.<br />

To benefit from both the Wiki flexibility and the databasing advan-<br />

tages, we extended the MediaWiki platform to allow the inclusion and<br />

the interaction with external data and programs . The current online<br />

project contains: (i) genes and gene mutations associated to CHDs<br />

(local curated database), (ii) links from CHD genes to related patient<br />

case reports (local cytogenetic database), (iii) links from CHD genes to<br />

publicly available descriptions <strong>of</strong> copy number variants, (iv) an interactive<br />

view <strong>of</strong> this information on chromosomes . Moreover, CHD candidate<br />

genes can be prioritized (Endeavour 1 ) based on easily selectable<br />

training genes associated to CHD types . CHDWiki promises to be the<br />

central resource/reference for CHD genetics . It can be viewed as a dynamic<br />

review <strong>of</strong> all the knowledge published in this field. Additionally,<br />

the Wiki goes further by managing information on promising candidate<br />

genes . The CHDWiki will be the most comprehensive resource available<br />

on genes associated to CHDs with 48 genes, 40 CHDs and 135<br />

manually curated associations . While initially dedicated to this concrete<br />

project, the system is generic and allows the rapid development<br />

<strong>of</strong> Wikis augmented by structured data and analysis results .<br />

1 Aerts et al., Nat Biotech, 2006;24:537<br />

P08.16<br />

copy number variants and gene expression in the mouse<br />

E. A. C. Chaignat 1 , C. N. Henrichsen 1 , N. Vinckenbosch 1 , S. Pradervand 1 , M.<br />

Ruedi 2 , S. Zoellner 3 , H. Kaessmann 1 , A. Reymond 1 ;<br />

1 Center for Integrative Genomics, Lausanne, Switzerland, 2 Department <strong>of</strong> Mammalogy<br />

and Ornithology, Natural History Museum, Geneva, Switzerland, 3 Department<br />

<strong>of</strong> Biostatistics, University <strong>of</strong> Michigan, Ann Arbor, MI, United States.<br />

Copy number variants (CNVs), defined as large stretches <strong>of</strong> DNA that<br />

vary in number <strong>of</strong> copies among phenotypically normal individuals, are<br />

a source <strong>of</strong> phenotypic variation . To achieve a more complete mapping<br />

<strong>of</strong> mouse CNVs, we used whole-genome oligonucleotide array comparative<br />

genome hybridization to identify CNVs in 13 inbred strains<br />

and in 21 wild mice . Using a hidden Markov model, we predicted some<br />

3800 CNV candidate regions, which we subsequently validated using<br />

a custom-made array . Thus multiplying by more than three the number<br />

<strong>of</strong> copy-number variable regions previously reported in the mouse<br />

genome .<br />

To address whether CNVs affect gene expression, we assessed the<br />

expression levels <strong>of</strong> 45’037 transcription units in liver, kidney, brain,<br />

heart, lung and testis <strong>of</strong> <strong>of</strong> six inbred mouse strains . We found that the<br />

variance <strong>of</strong> the expression levels for each <strong>of</strong> the recorded tissues is<br />

significantly larger for genes mapping inside than for genes mapping<br />

outside <strong>of</strong> CNVs, suggesting that copy number variation affects the<br />

variability <strong>of</strong> gene expression and must be taken into account when<br />

considering phenotypic differences between strains . Similarly, the<br />

genes mapping on the flanks <strong>of</strong> the CNVs, despite their not varying in<br />

copy numbers, display a modification <strong>of</strong> their relative expression levels<br />

. This phenomenon is effective over several hundreds <strong>of</strong> kilobases<br />

away from a breakpoint . It is present in all assessed tissues and persistent<br />

throughout mouse development . Thus our results demonstrate<br />

that changes in genome structure influence not only gene dosage but<br />

also the expression <strong>of</strong> neighboring genes .<br />

P08.17<br />

Development <strong>of</strong> taqman® copy Number Assays for copy<br />

Number Analysis<br />

K. Li, A. Broomer, Y. Wang, C. Xiao, F. Wang, I. Casuga, M. Xia, X. You, M.<br />

Bozzini, T. Hartshorne, G. Janaway, J. Tan, P. White, A. Toeppel, E. Spier, C.<br />

Chen;<br />

Applied Biosystems, Foster City, CA, United States.<br />

Copy number variation is an important polymorphism in the human<br />

genome that can be associated with genomic disorders or various<br />

diseases . Accurate detection <strong>of</strong> copy number differences is critical for<br />

understanding how copy number variation may play roles in diseases<br />

such as cancer, immune diseases, and neurological disorders, and<br />

also drug response . Although array-based technologies are powerful<br />

for genome-wide CNV discoveries and micro-deletion/micro-duplication<br />

syndrome studies, more quantitative technologies with high accuracy,<br />

specificity, and sample throughput are necessary to validate<br />

identified copy number changes and to detect deletions and duplications<br />

for large sample sizes in candidate regions or genes .<br />

Here we report our progress on the development <strong>of</strong> TaqMan Copy<br />

Number Assays . High quality targets for assay design are selected<br />

across the whole human genome . A proprietary assay design pipe-

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