Abstract #301731


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JSM 2002 Abstract #301731
Activity Number: 318
Type: Contributed
Date/Time: Wednesday, August 14, 2002 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section*
Abstract - #301731
Title: Association Mapping Using a Mixture Model for Complex Traits
Author(s): Xiaofeng Zhu*+ and Shuanglin Zhang and Hongyu Zhao
Affiliation(s): Loyola University Medical Center and Michigan Technological University and Yale University
Address: 2160 S. First Ave, Maywood, Illinois, 60153, USA
Keywords: population structure ; case-control design ; principal component
Abstract:

Association mapping for complex diseases using unrelated individuals can be more powerful than family-based analysis in many settings. In addition, this approach has major practical advantages, including greater efficiency in sample recruitment. Association mapping may lead to false positive findings, however, if population stratification is not properly considered. In this paper, we propose a method that makes it possible to infer the number of subpopulations by a mixture model using a set of independent genetic markers and then test the association between a genetic marker and a trait. The proposed method can be effectively applied in the analysis of both qualitative and quantitative traits. Extensive simulations demonstrate that the method is valid in the presence of population structure.


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