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

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 analy...

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Detalhes bibliográficos
Main Authors: Yang, Jian, Ferreira, Teresa, Morris, Andrew P, Medland, Sarah E, Madden, Pamela A F, Heath, Andrew C, Martin, Nicholas G, Montgomery, Grant W, Weedon, Michael N, Loos, Ruth J, Frayling, Timothy M, McCarthy, Mark I, Hirschhorn, Joel N, Goddard, Michael E, Visscher, Peter M
Formato: Artigo
Idioma:Inglês
Publicado em: 2012
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3593158/
https://ncbi.nlm.nih.gov/pubmed/22426310
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ng.2213
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