ArticleAmerican journal of epidemiology2009
Invited commentary: efficient testing of gene-environment interaction.
Article in American journal of epidemiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Atrazine and pregnancy outcomes: a systematic review of epidemiologic evidence.Birth defects research. Part B, Developmental and reproductive toxicology · 2014Pooled it
- Tests for Gene-Environment Interactions and Joint Effects With Exposure Misclassification.American journal of epidemiology · 2016Article
- Comparisons of power of statistical methods for gene-environment interaction analyses.European journal of epidemiology · 2013Article
- Design and analysis issues in gene and environment studies.Environmental health : a global access science source · 2012Review
- Testing gene-environment interaction in large-scale case-control association studies: possible choices and comparisons.American journal of epidemiology · 2012Article
- The case-only independence assumption: associations between genetic polymorphisms and smoking among controls in two population-based studies.International journal of molecular epidemiology and genetics · 2012Article
- Gene × environment interactions in type 2 diabetes.Current diabetes reports · 2011Review
- Meta-analysis of gene-environment interaction: joint estimation of SNP and SNP × environment regression coefficients.Genetic epidemiology · 2011Article
- Breaking barriers in the genomics and pharmacogenetics of drug addiction.Clinical pharmacology and therapeutics · 2010Review
- Gene-environment interactions in asthma and allergy: the end of the beginning?Current opinion in allergy and clinical immunology · 2010Review
- Methods for investigating gene-environment interactions in candidate pathway and genome-wide association studies.Annual review of public health · 2010Review
- Invited commentary: from genome-wide association studies to gene-environment-wide interaction studies--challenges and opportunities.American journal of epidemiology · 2009Article
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Authors and funding
2 authors at 2 institutions in 1 country.
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Abstract
Gene-environment-wide interaction studies of disease occurrence in human populations may be able to exploit the same agnostic approach to interrogating the human genome used by genome-wide association studies. The authors discuss 2 methods for taking advantage of possible independence between a single nucleotide polymorphism they call G (a genetic factor) and an environmental factor they call E while maintaining nominal type I error in studying G-E interaction when information on many genes is available. The first method is a simple 2-step procedure for testing the null hypothesis of no multiplicative interaction against the alternative hypothesis of a multiplicative interaction between an E and at least one of the markers genotyped in a genome-wide association study. The added power for the method derives from a clever work-around of a multiple testing procedure. The second is an empirical-Bayes-style shrinkage estimation framework for G-E interaction and the associated tests that can gain efficiency and power when the G-E independence assumption is met for most G's in the underlying population and yet, unlike the case-only method, is resistant to increased type I error when the underlying assumption of independence is violated. The development of new approaches to testing for interaction is an example of methodological progress leading to practical advantages.
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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.