JSM 2004 - Toronto

Abstract #302229

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Activity Number: 395
Type: Invited
Date/Time: Thursday, August 12, 2004 : 8:30 AM to 10:20 AM
Sponsor: International Indian Statistical Association
Abstract - #302229
Title: Genetic Association Studies Using Haplotypes
Author(s): Glen Satten*+ and Michael P. Epstein and Andrew S. Allen
Companies: Centers for Disease Control and Prevention and Emory University and Duke University
Address: 4770 Buford Highway, Mail Stop F-24, Chamblee, GA, 30341,
Keywords:
Abstract:

Current practice in association studies of genetic causes of diseases like cancer is to genotype several single nucleotide polymorphisms (SNPs) in a candidate gene. Such data can either be analyzed considering each SNP as a separate predictor, or by considering the effect of haplotypes (the set of SNPs that occur together on the same chromosome). Analyzing haplotypes can have several advantages: they may reduce dimension if there are fewer haplotypes than are combinatorially possible, and because haplotypes reflect the sequence actually transcribed, a haplotype analysis may be more powerful. However, haplotypes are typically unmeasured, and must be inferred statistically. Thus, the problem of analyzing the association between haplotypes and disease outcomes is a type of missing data problem. We consider a variety of new methods for haplotype analysis in association studies, both in case control studies and family-based association studies.

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