Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence.

ABSTRACT: There have been recent proposals advocating the use of additive gene-environment interaction instead of the widely used multiplicative scale, as a more relevant public health measure. Using gene-environment independence enhances statistical power for testing multiplicative interaction in case-control studies. However, under departure from this assumption, substantial bias in the estimates and inflated type I error in the corresponding tests can occur. In this paper, we extend the empirical Bayes (EB) approach previously developed for multiplicative interaction, which trades off between bias and efficiency in a data-adaptive way, to the additive scale. An EB estimator of the relative excess risk due to interaction is derived, and the corresponding Wald test is proposed with a general regres

SUBMITTER: Liu G 

PROVIDER: S-EPMC5860584 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature