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Article

Accounting for genetic effect heterogeneity in fine-mapping and improving power to detect gene-environment interactions with SharePro.

Nature communications - 30 Oct 2024

Zhang Wenmin, Sladek Robert, Li Yue, Najafabadi Hamed, Dupuis Josée

Abstract excerpt

Classical gene-by-environment interaction (GxE) analysis can be used to characterize genetic effect heterogeneity but has a high multiple testing burden in the context of genome-wide association studies (GWAS). We adapt a colocalization method, SharePro, to account for effect heterogeneity in fine-mapping and identify candidates for GxE analysis with reduced multiple testing burden. SharePro demonstrates improved...

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Share to Chromosome Mapping
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 39478020
DOI: 10.1038/s41467-024-53818-w
PMCID: PMC11526169

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