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...

Полное описание

Библиографические подробности
Главные авторы:	Yang, J, Ferreira, T, Morris, A, Medland, SE, Madden, P, Heath, A, Martin, N, Montgomery, G, Weedon, M, Loos, R, Frayling, T, McCarthy, M, Hirschhorn, J, Goddard, M, Visscher, P
Формат:	Journal article
Опубликовано:	2012

Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits. по Yang, J, Ferreira, T, Morris, A, Medland, SE, Madden, P, Heath, A, Martin, N, Montgomery, G, Weedon, M, Loos, R, Frayling, T, McCarthy, M, Hirschhorn, J, Goddard, M, Visscher, P

Опубликовано 2012

Journal article

Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits по Yang, J, Ferreira, T, Morris, A, Medland, SE, Madden, P, Heath, A, Martin, N, Montgomery, G, Weedon, M, Loos, R, Frayling, T, McCarthy, M, Hirschhorn, J, Goddard, M, Visscher, P

Опубликовано 2012

Journal article

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

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