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

ABSTRACT: 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

SUBMITTER: Gauderman WJ 

PROVIDER: S-EPMC5859988 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature