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Title: Gene-environment interaction in genome-wide association studies.

Authors: Murcray, Cassandra E; Lewinger, Juan Pablo; Gauderman, W James

Published In Am J Epidemiol, (2009 Jan 15)

Abstract: It is a commonly held belief that most complex diseases (e.g., diabetes, asthma, cancer) are affected in part by interactions between genes and environmental factors. However, investigators conducting genome-wide association studies typically test for only the marginal effects of each genetic marker on disease. In this paper, the authors propose an efficient and easily implemented 2-step analysis of genome-wide association study data aimed at identifying genes involved in a gene-environment interaction. The procedure complements screening for marginal genetic effects and thus has the potential to uncover new genetic signals that have not been identified previously.

PubMed ID: 19022827 Exiting the NIEHS site

MeSH Terms: Case-Control Studies; Environment*; Epidemiologic Methods; Gene Expression Regulation; Gene Frequency; Genetic Markers; Genetic Predisposition to Disease; Genome, Human*; Genome-Wide Association Study*; Humans; Odds Ratio; Polymorphism, Single Nucleotide

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