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Yang, J.* ; Ferreira, T.* ; Morris, A.P.* ; Medland, S.E.* ; GIANT Consortium (Heid, I.M. ; Illig, T. ; Heinrich, J. ; Grallert, H. ; Gieger, C. ; Thiering, E.) ; DIAGRAM Consortium (Meitinger, T. ; Müller, M. ; Illig, T. ; Gieger, C. ; Albrecht, E. ; Wichmann, H.-E.) ; Madden, P.A.* ; Heath, A.C.* ; Martin, N.G.* ; Montgomery, G.W.* ; Weedon, M.N.* ; Loos, R.J.* ; Frayling, T.M.* ; McCarthy, M.I.* ; Hirschhorn, J.N.* ; Goddard, M.E.* ; Visscher, P.M.*

Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits.

Nat. Genet. 44, 369-375 (2012)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
We present an approximate conditional and joint association analysis that can use summary-level statistics from a meta-analysis of genome-wide association studies (GWAS) and estimated linkage disequilibrium (LD) from a reference sample with individual-level genotype data. Using this method, we analyzed meta-analysis summary data from the GIANT Consortium for height and body mass index (BMI), with the LD structure estimated from genotype data in two independent cohorts. We identified 36 loci with multiple associated variants for height (38 leading and 49 additional SNPs, 87 in total) via a genome-wide SNP selection procedure. The 49 new SNPs explain approximately 1.3% of variance, nearly doubling the heritability explained at the 36 loci. We did not find any locus showing multiple associated SNPs for BMI. The method we present is computationally fast and is also applicable to case-control data, which we demonstrate in an example from meta-analysis of type 2 diabetes by the DIAGRAM Consortium.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter GENOME-WIDE ASSOCIATION; BODY-MASS INDEX; COMMON SNPS; SUSCEPTIBILITY LOCI; GENETIC-VARIATION; HUMAN HEIGHT; HERITABILITY; DISEASE; RISK; MAP
ISSN (print) / ISBN 1061-4036
e-ISSN 1546-1718
Zeitschrift Nature Genetics
Quellenangaben Band: 44, Heft: 4, Seiten: 369-375 Artikelnummer: , Supplement: ,
Verlag Nature Publishing Group
Verlagsort New York, NY
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Genetic Epidemiology (IGE)
Institute of Epidemiology II (EPI2)
Research Unit Molecular Epidemiology (AME)
Institute of Epidemiology (EPI)
Institute of Human Genetics (IHG)