Conditional analysis of multiple quantitative traits based on marginal GWAS summary statistics.

ABSTRACT: There has been an increasing interest in joint association testing of multiple traits for possible pleiotropic effects. However, even in the presence of pleiotropy, most of the existing methods cannot distinguish direct and indirect effects of a genetic variant, say single-nucleotide polymorphism (SNP), on multiple traits, and a conditional analysis of a trait adjusting for other traits is perhaps the simplest and most common approach to addressing this question. However, without individual-level genotypic and phenotypic data but with only genome-wide association study (GWAS) summary statistics, as typical with most large-scale GWAS consortium studies, we are not aware of any existing method for such a conditional analysis. We propose such a conditional analysis, offering formulas of neces

SUBMITTER: Deng Y 

PROVIDER: S-EPMC5536980 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature