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Microarray-based maps of copy-number variant regions in European and sub-saharan populations

Vogler, Christian and Gschwind, Leo and Röthlisberger, Benno and Huber, Andreas and Filges, Isabel and Miny, Peter and Auschra, Bianca and Stetak, Attila and Demougin, Philippe and Vukojevic, Vanja and Kolassa, Iris-Tatjana and Elbert, Thomas and de Quervain, Dominique J.-F. and Papassotiropoulos, Andreas. (2010) Microarray-based maps of copy-number variant regions in European and sub-saharan populations. PLoS ONE, 5 (12). e15246.

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Official URL: http://edoc.unibas.ch/dok/A5841735

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Abstract

The genetic basis of phenotypic variation can be partially explained by the presence of copy-number variations (CNVs). Currently available methods for CNV assessment include high-density single-nucleotide polymorphism (SNP) microarrays that have become an indispensable tool in genome-wide association studies (GWAS). However, insufficient concordance rates between different CNV assessment methods call for cautious interpretation of results from CNV-based genetic association studies. Here we provide a cross-population, microarray-based map of copy-number variant regions (CNVRs) to enable reliable interpretation of CNV association findings. We used the Affymetrix Genome-Wide Human SNP Array 6.0 to scan the genomes of 1167 individuals from two ethnically distinct populations (Europe, N = 717; Rwanda, N = 450). Three different CNV-finding algorithms were tested and compared for sensitivity, specificity, and feasibility. Two algorithms were subsequently used to construct CNVR maps, which were also validated by processing subsamples with additional microarray platforms (Illumina 1M-Duo BeadChip, Nimblegen 385K aCGH array) and by comparing our data with publicly available information. Both algorithms detected a total of 42669 CNVs, 74% of which clustered in 385 CNVRs of a cross-population map. These CNVRs overlap with 862 annotated genes and account for approximately 3.3% of the haploid human genome.We created comprehensive cross-populational CNVR-maps. They represent an extendable framework that can leverage the detection of common CNVs and additionally assist in interpreting CNV-based association studies.
Faculties and Departments:03 Faculty of Medicine > Bereich Psychiatrie (Klinik) > Erwachsenenpsychiatrie UPK > Molekulare Neurowissenschaften (Papassotiropoulos)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Psychiatrie (Klinik) > Erwachsenenpsychiatrie UPK > Molekulare Neurowissenschaften (Papassotiropoulos)
05 Faculty of Science > Departement Biozentrum > Services Biozentrum > Life Sciences Training Facility (Papassotiropoulos)
07 Faculty of Psychology > Departement Psychologie > Forschungsbereich Klinische Psychologie und Neurowissenschaften > Molecular Psychology (Papassotiropoulos)
UniBasel Contributors:Papassotiropoulos, Andreas and Vogler, Christian and Gschwind, Leo and Filges, Isabel and Miny, Peter and Auschra, Bianca and Stetak, Attila and Demougin, Philippe and de Quervain, Dominique J.-F.
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:Public Library of Science
e-ISSN:1932-6203
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:31 Aug 2018 06:40
Deposited On:14 Sep 2012 07:09

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