JSM 2005 Online Program

Abstract #303758

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:	359
Type:	Contributed
Date/Time:	Wednesday, August 10, 2005 : 8:30 AM to 10:20 AM
Sponsor:	General Methodology
Abstract - #303758
Title:	Haplotype-based Association Studies on Multivariate Responses
Author(s):	Dan Nicolae*+
Companies:	The University of Chicago
Address:	5734 South University Avenue, Chicago, IL, 60637, United States
Keywords:	SNPs ; haplotypes ; association analyses ; linkage disequilibrium ; pseudo-likelihood
Abstract:	Association studies are designed to identify markers that are tightly linked to genetic risk factors for complex diseases, such as asthma or diabetes. Many common diseases have complex phenotypes, and usually there are several clinical measurements analyzed simultaneously (e.g., glucose intolerance, dyslipidemia, high blood pressure). We propose a haplotype-based approach for quantitative multivariate phenotypes. We use a pseudo-likelihood function built using weights based on Gaussian kernels to estimate haplotype frequencies at every point in the response space. We discuss a novel multilocus measure of linkage disequilibrium and introduce tests for genetic association based on correlations between the multipoint linkage disequilibrium patterns and principal components in the response space. Finally, we discuss the accuracy and efficiency of the procedure.

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