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...
Main Authors: | 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 |
---|---|
Format: | Journal article |
Published: |
2012
|
Similar Items
-
Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits.
by: Yang, J, et al.
Published: (2012) -
Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits
by: Yang, J, et al.
Published: (2012) -
Genome-wide association studies: potential next steps on a genetic journey.
by: McCarthy, M, et al.
Published: (2008) -
Genome-wide association studies: past, present and future.
by: McCarthy, M, et al.
Published: (2008) -
Editorial: Genome-wide association studies: Past, present and future
by: McCarthy, M, et al.
Published: (2008)