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Activity Number: 375
Type: Invited
Date/Time: Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
Sponsor: ENAR
Abstract - #303894
Title: Two-Phase Studies of Gene-Environment Interaction
Author(s): Bhramar Mukherjee*+ and Jaeil Ahn
Companies: University of Michigan and MD Anderson Cancer Center
Address: 1420 Washington Heights, Ann Arbor, MI, , USA

The two-phase sampling design is a cost-efficient way of collecting expensive covariate information on a judiciously selected sub-sample. It is natural to apply such a strategy for collecting genetic data in a sub-sample enriched for exposure to environmental factors for gene-environment interaction (G x E) analysis. In this paper, we consider two-phase studies of G x E interaction where phase I data is available on exposure, covariates and disease status and stratified sampling is done to prioritize individuals for genotyping at phase II. We consider a Bayesian analysis based on the joint retrospective likelihood of phase I and phase II data that handles multiple genetic and environmental factors, data adaptive use of gene-environment independence. The methods are illustrated by an example from the Molecular Epidemiology of Colorectal cancer study.

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