Partial linear varying multi-index coefficient model for integrative gene-environment interactions.

ABSTRACT: Gene-environment (G×E) interactions play key roles in many complex diseases. An increasing number of epidemiological studies have shown the combined effect of multiple environmental exposures on disease risk. However, no appropriate statistical models have been developed to conduct a rigorous assessment of such combined effects when G×E interactions are considered. In this paper, we propose a partial linear varying multi-index coefficient model (PLVMICM) to assess how multiple environmental factors act jointly to modify individual genetic risk on complex disease. Our model includes the varying-index coefficient model as a special case, where discrete variables are admitted as the linear part. Thus PLVMICM allows one to study nonlinear interaction effects between genes and continuous enviro

SUBMITTER: Liu X 

PROVIDER: S-EPMC5033130 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature