JSM 2005 - Toronto

Abstract #303833

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Activity Number: 404
Type: Contributed
Date/Time: Wednesday, August 10, 2005 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #303833
Title: A Gene-environment Independence in Case-control Study
Author(s): Li Zhang*+ and Bhramar Mukherjee and Malay Ghosh and Samiran Sinha
Companies: University of Florida and University of Florida and University of Florida and Texas A&M University
Address: 367 Maguire Village 8, Gainesville, FL, 32603, United States
Keywords: Gene-environment interaction ; Logistic regression ; Population stratification ; Exponential family ; Dirichlet process prior
Abstract:

Many human diseases result from the interplay of genetic factors and environmental exposures. In case-control studies of gene-environment association, when genetic and environmental exposures can be assumed to be independent in the underlying population, one may exploit the independence to derive more efficient estimation techniques than the traditional logitic regression analysis (Chatterjee and Carroll 2005). We provide a Bayesian approach to model the effect of stratification variables under the assumption of gene-environment independence in the control population, conditional on other factors. The exposure distribution is modeled in both a parametric and nonparametric way. We illustrate the methods by applying them to the Israeli ovarian cancer data to investigate the effect of BRCA1/2 mutations and oral contraceptive use in the development of ovarian cancer. Also, a simulation study is conducted to compare the proposed models.

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