Using shared genetic controls in studies of gene-environment interactions.

ABSTRACT: With the advent of modern genomic methods to adjust for population stratification, the use of external or publicly available controls has become an attractive option for reducing the cost of large-scale case-control genetic association studies. In this article, we study the estimation of joint effects of genetic and environmental exposures from a case-control study where data on genome-wide markers are available on the cases and a set of external controls while data on environmental exposures are available on the cases and a set of internal controls. We show that under such a design, one can exploit an assumption of gene-environment independence in the underlying population to estimate the gene-environment joint effects, after adjustment for population stratification. We develop a semipara

SUBMITTER: Chen YH 

PROVIDER: S-EPMC4547803 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature