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Article

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

Communications biology - 14 Nov 2024

Wang Siru, Ojewunmi Oyesola O, Kamiza Abram, Ramsay Michele, Morris Andrew P, Chikowore Tinashe, Fatumo Segun, Asimit Jennifer L

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...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Polymorphism, Single Nucleotide

Source

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Identifiers

PMID: 39543362
DOI: 10.1038/s42003-024-07236-9
PMCID: PMC11564974

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