ArticleAmerican journal of epidemiology2012
Testing gene-environment interaction in large-scale case-control association studies: possible choices and comparisons.
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 67 papers, 1 of them a synthesis that pooled it.
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Who cites it
67 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
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- Article
- A hierarchical integrative group least absolute shrinkage and selection operator for analyzing environmental mixtures.Environmetrics · 2021Article
- Smoking Modifies Pancreatic Cancer Risk Loci on 2q21.3.Cancer research · 2021Article
- Identifying Gene-Environment Interactions With Robust Marginal Bayesian Variable Selection.Frontiers in genetics · 2021Article
- Semiparametric Bayesian variable selection for gene-environment interactions.Statistics in medicine · 2020Article
- Evaluation of gene-environment interactions for colorectal cancer susceptibility loci using case-only and case-control designs.BMC cancer · 2019Article
- Penalized Variable Selection for Lipid-Environment Interactions in a Longitudinal Lipidomics Study.Genes · 2019Article
- Polygenic approaches to detect gene-environment interactions when external information is unavailable.Briefings in bioinformatics · 2019Review
- Extended methods for gene-environment-wide interaction scans in studies of admixed individuals with varying degrees of relationships.Genetic epidemiology · 2019Article
- Using imputed genotype data in the joint score tests for genetic association and gene-environment interactions in case-control studies.Genetic epidemiology · 2018Article
- Post-GWAS in Psychiatric Genetics: A Developmental Perspective on the "Other" Next Steps.Genes, brain, and behavior · 2018Review
- Dissecting gene-environment interactions: A penalized robust approach accounting for hierarchical structures.Statistics in medicine · 2018Article
- Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence.American journal of epidemiology · 2018Article
- Adiposity and Genetic Factors in Relation to Triglycerides and Triglyceride-Rich Lipoproteins in the Women's Genome Health Study.Clinical chemistry · 2018Article
- Semiparametric analysis of complex polygenic gene-environment interactions in case-control studies.Biometrika · 2017Article
- Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases.American journal of epidemiology · 2017Article
- Lessons Learned From Past Gene-Environment Interaction Successes.American journal of epidemiology · 2017Review
- Informatics and Data Analytics to Support Exposome-Based Discovery for Public Health.Annual review of public health · 2017Review
7 more citing papers are in PubMed but not listed here.
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4 authors.
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Abstract
Several methods for screening gene-environment interaction have recently been proposed that address the issue of using gene-environment independence in a data-adaptive way. In this report, the authors present a comparative simulation study of power and type I error properties of 3 classes of procedures: 1) the standard 1-step case-control method; 2) the case-only method that requires an assumption of gene-environment independence for the underlying population; and 3) a variety of hybrid methods, including empirical-Bayes, 2-step, and model averaging, that aim at gaining power by exploiting the assumption of gene-environment independence and yet can protect against false positives when the independence assumption is violated. These studies suggest that, although the case-only method generally has maximum power, it has the potential to create substantial false positives in large-scale studies even when a small fraction of markers are associated with the exposure under study in the underlying population. All the hybrid methods perform well in protecting against such false positives and yet can retain substantial power advantages over standard case-control tests. The authors conclude that, for future genome-wide scans for gene-environment interactions, major power gain is possible by using alternatives to standard case-control analysis. Whether a case-only type scan or one of the hybrid methods should be used depends on the strength and direction of gene-environment interaction and association, the level of tolerance for false positives, and the nature of replication strategies.
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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.