Design and analysis issues in gene and environment studies
- PMID: 23253229
- PMCID: PMC3551668
- DOI: 10.1186/1476-069X-11-93
Design and analysis issues in gene and environment studies
Abstract
Both nurture (environmental) and nature (genetic factors) play an important role in human disease etiology. Traditionally, these effects have been thought of as independent. This perspective is ill informed for non-mendelian complex disorders which result as an interaction between genetics and environment. To understand health and disease we must study how nature and nurture interact. Recent advances in human genomics and high-throughput biotechnology make it possible to study large numbers of genetic markers and gene products simultaneously to explore their interactions with environment. The purpose of this review is to discuss design and analytic issues for gene-environment interaction studies in the "-omics" era, with a focus on environmental and genetic epidemiological studies. We present an expanded environmental genomic disease paradigm. We discuss several study design issues for gene-environmental interaction studies, including confounding and selection bias, measurement of exposures and genotypes. We discuss statistical issues in studying gene-environment interactions in different study designs, such as choices of statistical models, assumptions regarding biological factors, and power and sample size considerations, especially in genome-wide gene-environment studies. Future research directions are also discussed.
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- R00 ES017744/ES/NIEHS NIH HHS/United States
- R35 CA197449/CA/NCI NIH HHS/United States
- ES P42 016454/ES/NIEHS NIH HHS/United States
- K99 ES017744/ES/NIEHS NIH HHS/United States
- R00ES017744/ES/NIEHS NIH HHS/United States
- 5P01CA134294/CA/NCI NIH HHS/United States
- R01 ES014930/ES/NIEHS NIH HHS/United States
- P01 CA134294/CA/NCI NIH HHS/United States
- P42 ES016454/ES/NIEHS NIH HHS/United States
- R01 ES020268/ES/NIEHS NIH HHS/United States
- R01 ES013744/ES/NIEHS NIH HHS/United States
- 5R37CA076404/CA/NCI NIH HHS/United States
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