Article

Accounting for heterogeneity due to environmental sources in meta-analysis of genome-wide association studies

2024-05-20

Abstract excerpt

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 present an environment-adjusted meta-regression model (env-MR-MEGA) to detect genetic associations b...

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Literature Corpus work: aedc7302-f44b-5a01-8c39-f46393a2249c
DOI: 10.1101/2024.05.17.594687

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