JSM 2004 - Toronto

Abstract #302007

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Activity Number: 43
Type: Topic Contributed
Date/Time: Sunday, August 8, 2004 : 4:00 PM to 5:50 PM
Sponsor: Biometrics Section
Abstract - #302007
Title: Regression-based Multivariate Quantitative Trait Locus Mapping
Author(s): Steven G. Buyske*+
Companies: Rutgers University
Address: Statistics Dept., Piscataway, NJ, 08854,
Keywords: linkage ; statistical genetics ; genetics
Abstract:

In cases of highly correlated traits, a multivariate approach to genetic mapping of a quantitative trait locus (QTL) can be superior to univariate approaches. We have developed a regression-based multivariate QTL method that has greater power than the multivariate New Haseman-Elston approach and the multivariate variance components approach. The proposed method has been implemented as an extension to Merlin and is computationally fast.

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