An exposure-weighted score test for genetic associations integrating environmental risk factors.

ABSTRACT: Current methods for detecting genetic associations lack full consideration of the background effects of environmental exposures. Recently proposed methods to account for environmental exposures have focused on logistic regressions with gene-environment interactions. In this report, we developed a test for genetic association, encompassing a broad range of risk models, including linear, logistic and probit, for specifying joint effects of genetic and environmental exposures. We obtained the test statistics by maximizing over a class of score tests, each of which involves modified standard tests of genetic association through a weight function. This weight function reflects the potential heterogeneity of the genetic effects by levels of environmental exposures under a particular model. Simul

SUBMITTER: Han SS 

PROVIDER: S-EPMC4575251 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature