ArticleAmerican journal of epidemiology2012
Simultaneously testing for marginal genetic association and gene-environment interaction.
Article in American journal of epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Atrazine and pregnancy outcomes: a systematic review of epidemiologic evidence.Birth defects research. Part B, Developmental and reproductive toxicology · 2014Pooled it
- Genetic risk factors modulate the association between physical activity and colorectal cancer.BMC medicine · 2026Article
- Genetic risk factors modulate the association between physical activity and colorectal cancer.Research square · 2025Article
- A general kernel machine regression framework using principal component analysis for jointly testing main and interaction effects: Applications to human microbiome studies.NAR genomics and bioinformatics · 2024Article
- A versatile, fast and unbiased method for estimation of gene-by-environment interaction effects on biobank-scale datasets.Nature communications · 2023Article
- Probing the diabetes and colorectal cancer relationship using gene - environment interaction analyses.British journal of cancer · 2023Article
- A Varying Coefficient Model to Jointly Test Genetic and Gene-Environment Interaction Effects.Behavior genetics · 2023Article
- Association of Body Mass Index With Colorectal Cancer Risk by Genome-Wide Variants.Journal of the National Cancer Institute · 2021Article
- Identification of gene-environment interactions with marginal penalization.Genetic epidemiology · 2020Article
- Using Bayes model averaging to leverage both gene main effects and G × E interactions to identify genomic regions in genome-wide association studies.Genetic epidemiology · 2019Article
- Subset-Based Analysis Using Gene-Environment Interactions for Discovery of Genetic Associations across Multiple Studies or Phenotypes.Human heredity · 2018Article
- Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases.American journal of epidemiology · 2017Article
- Update on the State of the Science for Analytical Methods for Gene-Environment Interactions.American journal of epidemiology · 2017Article
- Exposure enriched outcome dependent designs for longitudinal studies of gene-environment interaction.Statistics in medicine · 2017Article
- Genes Interacting with Occupational Exposures to Low Molecular Weight Agents and Irritants on Adult-Onset Asthma in Three European Studies.Environmental health perspectives · 2017Article
- The importance of gene-environment interactions in human obesity.Clinical science (London, England : 1979) · 2016Review
- Augmented case-only designs for randomized clinical trials with failure time endpoints.Biometrics · 2016Article
- Tests for Gene-Environment Interactions and Joint Effects With Exposure Misclassification.American journal of epidemiology · 2016Article
- Mixed Linear Model Approaches of Association Mapping for Complex Traits Based on Omics Variants.Scientific reports · 2015Article
- The impact of exposure-biased sampling designs on detection of gene-environment interactions in case-control studies with potential exposure misclassification.European journal of epidemiology · 2015Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
In this article, the authors propose to simultaneously test for marginal genetic association and gene-environment interaction to discover single nucleotide polymorphisms that may be involved in gene-environment or gene-treatment interaction. The asymptotic independence of the marginal association estimator and various interaction estimators leads to a simple and flexible way of combining the 2 tests, allowing for exploitation of gene-environment independence in estimating gene-environment interaction. The proposed test differs from the 2-df test proposed by Kraft et al. (Hum Hered. 2007;63(2):111-119) in two respects. First, for the genetic association component, it tests for marginal association, which is often the primary objective in inference, rather than the main effect in a model with gene-environment interaction. Second, the gene-environment testing component can easily exploit putative gene-environment independence using either the case-only estimator or the empirical Bayes estimator, depending on whether the goal is gene-treatment interaction in a randomized trial or gene-environment interaction in an observational study. The use of the proposed joint test is illustrated through simulations and a genetic study (1993-2005) from the Women's Health Initiative.
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Registered trials
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.