AI Article Synopsis

  • The CHARGE Gene-Lifestyle Interactions Working Group is exploring how gene-environment interactions affect complex traits and has initiated large-scale studies to enhance statistical power and findings.
  • A new screening method, akin to Mendelian randomization, has been developed to identify genomic interactions related to lifestyle factors like smoking and alcohol consumption on serum lipid levels.
  • The research found that such interactions contribute significantly to genetic variation, estimating that they account for 1.76% to 14.05% of the heritability of serum lipids, enhancing our understanding of genetic and environmental influences on complex traits.

Article 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 CHARGE Gene-Lifestyle Interactions Working Group has been spearheading efforts to investigate 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 identified and confirmed 5 loci (6 independent signals) interacting with either cigarette smoking or alcohol consumption for serum lipids, and empirically demonstrated that interaction and mediation are the major contributors to genetic effect size heterogeneity across populations. The estimated lower bound of the interaction and environmentally mediated contribution ranges from 1.76% to 14.05% of SNP heritability of serum lipids in Cross-Population data. Our study improves the understanding of the genetic architecture and environmental contributions to complex traits.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602131PMC
http://dx.doi.org/10.21203/rs.3.rs-3338723/v1DOI Listing

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