Accounting for heterogeneity due to environmental sources in meta-analysis of genome-wide association studies.
Wang Siru, Ojewunmi Oyesola O, Kamiza Abram, +5 more·Communications biology
Meta-analysis of genome-wide association studies (GWAS) across diverse populations offers power gains to identify loci associated with complex traits and diseases. Often heterogeneity in effect sizes across populations will be correlated with genetic ancestry and environmental exposures (e.g. lifestyle factors). We pre…