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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Xehetasun bibliografikoak
Egile Nagusiak:	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
Formatua:	Journal article
Argitaratua:	2012

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

Argitaratua 2012

Journal article

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

Argitaratua 2012

Journal article

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

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