Origins and functional impact of copy number variation in the human genome View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2009-10-07

AUTHORS

Donald F. Conrad, Dalila Pinto, Richard Redon, Lars Feuk, Omer Gokcumen, Yujun Zhang, Jan Aerts, T. Daniel Andrews, Chris Barnes, Peter Campbell, Tomas Fitzgerald, Min Hu, Chun Hwa Ihm, Kati Kristiansson, Daniel G. MacArthur, Jeffrey R. MacDonald, Ifejinelo Onyiah, Andy Wing Chun Pang, Sam Robson, Kathy Stirrups, Armand Valsesia, Klaudia Walter, John Wei, , Chris Tyler-Smith, Nigel P. Carter, Charles Lee, Stephen W. Scherer, Matthew E. Hurles

ABSTRACT

Structural variations of DNA greater than 1 kilobase in size account for most bases that vary among human genomes, but are still relatively under-ascertained. Here we use tiling oligonucleotide microarrays, comprising 42 million probes, to generate a comprehensive map of 11,700 copy number variations (CNVs) greater than 443 base pairs, of which most (8,599) have been validated independently. For 4,978 of these CNVs, we generated reference genotypes from 450 individuals of European, African or East Asian ancestry. The predominant mutational mechanisms differ among CNV size classes. Retrotransposition has duplicated and inserted some coding and non-coding DNA segments randomly around the genome. Furthermore, by correlation with known trait-associated single nucleotide polymorphisms (SNPs), we identified 30 loci with CNVs that are candidates for influencing disease susceptibility. Despite this, having assessed the completeness of our map and the patterns of linkage disequilibrium between CNVs and SNPs, we conclude that, for complex traits, the heritability void left by genome-wide association studies will not be accounted for by common CNVs. More... »

PAGES

704-712

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  • Journal

    TITLE

    Nature

    ISSUE

    7289

    VOLUME

    464

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nature08516

    DOI

    http://dx.doi.org/10.1038/nature08516

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1052442014

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/19812545


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