Testing gene-environment interaction in large-scale case-control association studies: possible choices and comparisons.

ABSTRACT: Several methods for screening gene-environment interaction have recently been proposed that address the issue of using gene-environment independence in a data-adaptive way. In this report, the authors present a comparative simulation study of power and type I error properties of 3 classes of procedures: 1) the standard 1-step case-control method; 2) the case-only method that requires an assumption of gene-environment independence for the underlying population; and 3) a variety of hybrid methods, including empirical-Bayes, 2-step, and model averaging, that aim at gaining power by exploiting the assumption of gene-environment independence and yet can protect against false positives when the independence assumption is violated. These studies suggest that, although the case-only method general

SUBMITTER: Mukherjee B 

PROVIDER: S-EPMC3286201 | biostudies-literature | 2012 Feb

REPOSITORIES: biostudies-literature