A Varying Coefficient Model to Jointly Test Genetic and Gene-Environment Interaction Effects.

ABSTRACT: Most human traits are influenced by the interplay between genetic and environmental factors. Many statistical methods have been proposed to screen for gene-environment interaction (GxE) in the post genome-wide association study era. However, most of the existing methods assume a linear interaction between genetic and environmental factors toward phenotypic variations, which diminishes statistical power in the case of nonlinear GxE. In this paper, we present a flexible statistical procedure to detect GxE regardless of whether the underlying relationship is linear or not. By modeling the joint genetic and GxE effects as a varying-coefficient function of the environmental factor, the proposed model is able to capture dynamic trajectories of GxE. We employ a likelihood ratio test with a fast M

SUBMITTER: Zhou Z 

PROVIDER: S-EPMC10277225 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature