ArticleAmerican journal of epidemiology2016
Tests for Gene-Environment Interactions and Joint Effects With Exposure Misclassification.
Article in American journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- An Exposome-Wide Interaction Study to Identify Hidden Environmental Factors Affecting Susceptible Populations: Application to Chemical-Social Vulnerability Interactions on Cognitive Function.medRxiv : the preprint server for health sciences · 2025Article
- A gene-based association test of interactions for maternal-fetal genotypes identifies genes associated with nonsyndromic congenital heart defects.Genetic epidemiology · 2023Article
- Genome-wide association studies of structural birth defects: A review and commentary.Birth defects research · 2019Review
- Gene-Environment Interactions on Body Fat Distribution.International journal of molecular sciences · 2019Review
- A Unified Model for the Analysis of Gene-Environment Interaction.American journal of epidemiology · 2019Article
- A Genome-Wide Association Study for Susceptibility to Visual Experience-Induced Myopia.Investigative ophthalmology & visual science · 2019Article
- A test for gene-environment interaction in the presence of measurement error in the environmental variable.Genetic epidemiology · 2018Article
- Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence.American journal of epidemiology · 2018Article
- 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
- Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017Review
- Genotypic variability based association identifies novel non-additive loci DHCR7 and IRF4 in sero-negative rheumatoid arthritis.Scientific reports · 2017Article
- Set-Based Tests for the Gene-Environment Interaction in Longitudinal Studies.Journal of the American Statistical Association · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The number of methods for genome-wide testing of gene-environment (G-E) interactions continues to increase, with the aim of discovering new genetic risk factors and obtaining insight into the disease-gene-environment relationship. The relative performance of these methods, assessed on the basis of family-wise type I error rate and power, depends on underlying disease-gene-environment associations, estimates of which may be biased in the presence of exposure misclassification. This simulation study expands on a previously published simulation study of methods for detecting G-E interactions by evaluating the impact of exposure misclassification. We consider 7 single-step and modular screening methods for identifying G-E interaction at a genome-wide level and 7 joint tests for genetic association and G-E interaction, for which the goal is to discover new genetic susceptibility loci by leveraging G-E interaction when present. In terms of statistical power, modular methods that screen on the basis of the marginal disease-gene relationship are more robust to exposure misclassification. Joint tests that include main/marginal effects of a gene display a similar robustness, which confirms results from earlier studies. Our results offer an increased understanding of the strengths and limitations of methods for genome-wide searches for G-E interaction and joint tests in the presence of exposure misclassification.
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Registered trials
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