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© Research
Publication : American journal of epidemiology

Update on the State of the Science for Analytical Methods for Gene-Environment Interactions

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in American journal of epidemiology - 01 Oct 2017

Gauderman WJ, Mukherjee B, Aschard H, Hsu L, Lewinger JP, Patel CJ, Witte JS, Amos C, Tai CG, Conti D, Torgerson DG, Lee S, Chatterjee N

Link to Pubmed [PMID] – 28978192

Am. J. Epidemiol. 2017 Oct;186(7):762-770

The analysis of gene-environment interaction (G×E) may hold the key for further understanding the etiology of many complex traits. The current availability of high-volume genetic data, the wide range in types of environmental data that can be measured, and the formation of consortiums of multiple studies provide new opportunities to identify G×E but also new analytical challenges. In this article, we summarize several statistical approaches that can be used to test for G×E in a genome-wide association study. These include traditional models of G×E in a case-control or quantitative trait study as well as alternative approaches that can provide substantially greater power. The latest methods for analyzing G×E with gene sets and with data in a consortium setting are summarized, as are issues that arise due to the complexity of environmental data. We provide some speculation on why detecting G×E in a genome-wide association study has thus far been difficult. We conclude with a description of software programs that can be used to implement most of the methods described in the paper.

https://www.ncbi.nlm.nih.gov/pubmed/28978192