JSM 2005 Online Program

Abstract #303731

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	51
Type:	Invited
Date/Time:	Sunday, August 7, 2005 : 4:00 PM to 5:50 PM
Sponsor:	Biometrics Section
Abstract - #303731
Title:	Robust Estimation and Testing of Haplotype Effects in Case-control Studies
Author(s):	Andrew S. Allen*+ and Glen A. Satten
Companies:	Duke University and Centers for Disease Control and Prevention
Address:	DUMC 3850, Durham , NC, 27710,
Keywords:	genetic association ; case-control study ; haplotypes ; nuisance parameters
Abstract:	Case-control genetic association studies are popular mechanisms for examining the genetic influences of complex disease. Of particular interest is estimating and testing the effect of haplotypes, the combination of closely linked alleles that fall on the same chromosome. Haplotype analyses can provide critical information regarding the function of a gene, and may be more powerful than single-loci methods because they combine linkage disequilibrium information from multiple loci. However, when only multilocus genotype data are available, haplotype phase will often be uncertain, creating a missing data problem. Likelihood methods for dealing with this problem are forced to model the nuisance distribution of haplotypes and can, if this distribution is misspecified, lead to substantial bias in parameter estimates---even when complete genotype information is available. We use a geometric approach to estimation in the presence of nuisance parameters and develop locally efficient estimators of the effect of haplotypes on disease that are robust to incorrect estimates of haplotype frequencies. We demonstrate the methods with a simulation study of a case-control design.

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