JSM 2005 Online Program

Abstract #303856

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:	74
Type:	Contributed
Date/Time:	Sunday, August 7, 2005 : 8:00 PM to 9:50 PM
Sponsor:	Biopharmaceutical Section
Abstract - #303856
Title:	Genetic Linkage Analysis of Bivariate Traits Using Identity by Descent Data from Sib-pairs
Author(s):	Jian Han*+
Companies:	Bristol-Myers Squibb Company
Address:	Dept 703, Wallingford, CT, 06492, United States
Keywords:	genetic linkage ; score test ; bivariate score test ; power of test ; cross phenotype correlation ; simulation
Abstract:	The goal of genetic linkage analysis is to determine the chromosomal location of the gene(s) for a trait of interest, such as a common disease. It usually proceeds by comparing inheritance of trait to the inheritance of genetic markers with known or estimated chromosomal locations. A univariate score test was developed by Dudoit and Speed (1999, 2000) to test the null hypothesis of no linkage between a marker locus and a gene-influencing trait. Multiple phenotypic measurements often are available among inheritable disorders. For example, delusions and hallucinations are observed simultaneously in the patient with schizophrenia. A likelihood-based bivariate trait score test is developed. It is shown through simulation that for random samples, bivariate trait test uniformly has more power than separate univariate tests, regardless of the mode of inheritance, heritability, allele frequency, and cross-phenotype residual correlation in sib-pairs. The impact of cross-phenotype residual correlation on the power of bivariate test is found to be substantial.

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