Set-Based Tests for the Gene-Environment Interaction in Longitudinal Studies.

ABSTRACT: We propose a generalized score type test for set-based inference for gene-environment interaction with longitudinally measured quantitative traits. The test is robust to misspecification of within subject correlation structure and has enhanced power compared to existing alternatives. Unlike tests for marginal genetic association, set-based tests for gene-environment interaction face the challenges of a potentially misspecified and high-dimensional main effect model under the null hypothesis. We show that our proposed test is robust to main effect misspecification of environmental exposure and genetic factors under the gene-environment independence condition. When genetic and environmental factors are dependent, the method of sieves is further proposed to eliminate potential bias due to a m

SUBMITTER: He Z 

PROVIDER: S-EPMC5954413 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature