ArticleGenetic epidemiology2011
Meta-analysis of gene-environment interaction: joint estimation of SNP and SNP × environment regression coefficients.
Article in Genetic epidemiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 24 of them syntheses that pooled it.
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Who cites it
121 citing papers in PubMed, 24 syntheses or guidelines pooled it.
- Genome-wide gene-sleep interaction study identifies novel lipid loci in 732,564 participants.Atherosclerosis · 2026Pooled it
- Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids.Translational psychiatry · 2025Pooled it
- metaGE: Investigating genotype x environment interactions through GWAS meta-analysis.PLoS genetics · 2025Pooled it
- Exploiting meta-analysis of genome-wide interaction with serum 25-hydroxyvitamin D to identify novel genetic loci associated with pulmonary function.The American journal of clinical nutrition · 2024Pooled it
- Genetic architecture of alcohol consumption identified by a genotype-stratified GWAS and impact on esophageal cancer risk in Japanese people.Science advances · 2024Pooled it
- A genome-wide search for pleiotropy in more than 100,000 harmonized longitudinal cognitive domain scores.Molecular neurodegeneration · 2023Pooled it
- Variance-component-based meta-analysis of gene-environment interactions for rare variants.G3 (Bethesda, Md.) · 2021Pooled it
- Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci.Molecular psychiatry · 2021Pooled it
- Cerebral small vessel disease genomics and its implications across the lifespan.Nature communications · 2020Pooled it
- Sex-Specific Genetic Associations for Barrett's Esophagus and Esophageal Adenocarcinoma.Gastroenterology · 2020Pooled it
- Quality of dietary fat and genetic risk of type 2 diabetes: individual participant data meta-analysis.BMJ (Clinical research ed.) · 2019Pooled it
- Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions.American journal of epidemiology · 2019Pooled it
- Pooled it
- Variants in Pharmacokinetic Transporters and Glycemic Response to Metformin: A Metgen Meta-Analysis.Clinical pharmacology and therapeutics · 2017Pooled it
- Pooled it
- An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group.Genetic epidemiology · 2016Pooled it
- Meta-analysis of gene-environment-wide association scans accounting for education level identifies additional loci for refractive error.Nature communications · 2016Pooled it
- Modulation of genetic associations with serum urate levels by body-mass-index in humans.PloS one · 2015Pooled it
- Post-GWAS gene-environment interplay in breast cancer: results from the Breast and Prostate Cancer Cohort Consortium and a meta-analysis on 79,000 women.Human molecular genetics · 2014Pooled it
- An empirical comparison of meta-analysis and mega-analysis of individual participant data for identifying gene-environment interactions.Genetic epidemiology · 2014Pooled it
61 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
introductionGenetic discoveries are validated through the meta-analysis of genome-wide association scans in large international consortia. Because environmental variables may interact with genetic factors, investigation of differing genetic effects for distinct levels of an environmental exposure in these large consortia may yield additional susceptibility loci undetected by main effects analysis. We describe a method of joint meta-analysis (JMA) of SNP and SNP by Environment (SNP × E) regression coefficients for use in gene-environment interaction studies.
methodsIn testing SNP × E interactions, one approach uses a two degree of freedom test to identify genetic variants that influence the trait of interest. This approach detects both main and interaction effects between the trait and the SNP. We propose a method to jointly meta-analyze the SNP and SNP × E coefficients using multivariate generalized least squares. This approach provides confidence intervals of the two estimates, a joint significance test for SNP and SNP × E terms, and a test of homogeneity across samples.
resultsWe present a simulation study comparing this method to four other methods of meta-analysis and demonstrate that the JMA performs better than the others when both main and interaction effects are present. Additionally, we implemented our methods in a meta-analysis of the association between SNPs from the type 2 diabetes-associated gene PPARG and log-transformed fasting insulin levels and interaction by body mass index in a combined sample of 19,466 individuals from five cohorts.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.