An approach to identify gene-environment interactions and reveal new biological insight in complex traits.

ABSTRACT: There is a long-standing debate about the magnitude of the contribution of gene-environment interactions to phenotypic variations of complex traits owing to the low statistical power and few reported interactions to date. To address this issue, the Gene-Lifestyle Interactions Working Group within the Cohorts for Heart and Aging Research in Genetic Epidemiology Consortium has been spearheading efforts to investigate G × E in large and diverse samples through meta-analysis. Here, we present a powerful new approach to screen for interactions across the genome, an approach that shares substantial similarity to the Mendelian randomization framework. We identify and confirm 5 loci (6 independent signals) interacted with either cigarette smoking or alcohol consumption for serum lipids, and empiri

SUBMITTER: Zhu X 

PROVIDER: S-EPMC11035594 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature