JSM 2005 - Toronto

Abstract #302447

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 4
Type: Invited
Date/Time: Sunday, August 7, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #302447
Title: A Statistical Method for Adjusting Covariates in Linkage Analysis with Sib Pairs
Author(s): Gang Zheng*+ and Colin Wu and Eric Leifer and Dean Follmann and Jing-Ping Lin
Companies: National Heart, Lung, and Blood Institute and National Heart, Lung, and Blood Institute and National Heart, Lung, and Blood Institute and National Institute of Allergy and Infectious Diseases and National Heart, Lung, and Blood Institute
Address: 6701 Rockledge Drive, MSC 7938, Bethesda, MD, 20892, United States
Keywords: covariate-adjustment ; linkage ; longitudinal ; outputation
Abstract:

In this paper, we propose a statistical method that includes the use of longitudinal regression models and estimation procedures for adjusting for covariate effects in applying the Hasemen-Elston method for linkage analysis. Our method includes modeling the covariate-adjusted population means of quantitative traits through regression, estimating the value of covariate-adjusted quantitative traits, and evaluating the link between the adjusted trait values and markers based on alleles shared IBD.


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Revised March 2005