Abstract #300274

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JSM 2003 Abstract #300274
Activity Number: 192
Type: Invited
Date/Time: Tuesday, August 5, 2003 : 8:30 AM to 10:20 AM
Sponsor: IMS
Abstract - #300274
Title: Survival Models for Genetic Linkage and Association Analysis
Author(s): Hongzhe Li*+
Companies: University of California, Davis
Address: Rowe Program in Human Genetics, Davis, CA, 95616,
Keywords: frailty models ; linkage analysis ; linkage disequilibrium ; score test
Abstract:

Many complex human diseases are due to multiple disease genes and both genetic and environmental risk factors. These diseases often also show variable age of disease onset. In order to incorporate both covariates and age of onset information into genetic analysis, we define an additive genetic gamma frailty model constructed based on the inheritance vectors. Within this modeling framework, we derive a retrospective likelihood ratio test for linkage and a score test for testing genetic association in the linked region using sibships data. Such tests can provide a practical solution to mapping genes for complex diseases with variable age of onset. Simulation studies indicate that the proposed methods have correct Type I error rates and perform better than the commonly used methods for lineage or association analysis. We further demonstrate the methods using the simulated dataset from GAW12 and a real dataset of affected sib pairs of prostate cancer.

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