Abstract #301003

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JSM 2003 Abstract #301003
Activity Number: 298
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #301003
Title: Semiparametric Approaches to Study the Unphased Haplotype Effect Using Lifetime Data
Author(s): Jinbo Chen*+ and Nilanjan Chatterjee
Companies: National Cancer Institute and National Institute of Health
Address: 6120 Executive Blvd., Rockville, MD, 20852,
Keywords: unphased haplotype ; HWE ; nested case-control studies ; semiparametric ; genotype ; Cox's proportional hazards model
Abstract:

Association studies for the gene-disease relationship based on haplotypes are believed to be more powerful than those based on single SNPs, and thus have become increasingly popular. For population-based studies, however, the current molecular technology does not allow identifying the haplotypes for all subjects because of high cost. The genotype data can be easily obtained. We consider estimating the haplotype effect when the haplotype-disease relationship is described by Cox's proportional hazards model, with data from cohort studies or nested case-control (NCC) studies, respectively. We assume that the population at study is at Hardy-Weinberg Equilibrium (HWE). We derive the hazard function of disease given genotype data following Prentice (1982), and propose estimating regression parameters by iterating between maximizing a partial likelihood function and estimating cumulative hazard function. The hazard function estimator takes a similar form as the Breslow-estimator. The consistency of the proposed estimator is demonstrated via simulation studies. Some results from analyzing real data will be presented.

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