JSM 2005 - Toronto

Abstract #304715

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 237
Type: Contributed
Date/Time: Tuesday, August 9, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract - #304715
Title: An Alternative Approach for Haplotype-based Association Analysis Using Genotype Data from Unrelated Individuals
Author(s): Jinbo Chen*+
Companies: National Cancer Institute
Address: 6120 Executive Blvd, Rockville, MD, 20851, United States
Keywords: haplotype ; multi-locus genotype ; case-control study ; prospective study ; association analsysis
Abstract:

It has become standard practice to present results from haplotype-based analysis when assessing the relationship between a disease phenotype and multiple SNPs within a genomic region. The statistical challenge is that individual haplotypes may not be able to be inferred without ambiguity from the multilocus SNP genotype data. Various statistical methods have been published in the context of retrospective case-control designs and prospective cohort studies, but require method-specific software that is currently not fully developed. In addition, these methods may not allow easy checking of model assumptions and model fitting. In this work, we consider an alternative approach for haplotype-based association analysis when disease-phenotype and multilocus SNP genotype data are collected from matched or unmatched case-control studies or prospective cohort studies. We show this approach allows one to largely take advantage of the available software for computation and to perform model checking. The performance of the proposed method is assessed via simulation studies and compared with published methods in limited situations.

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