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Association mapping, using a mixture model for complex traits

✍ Scribed by Xiaofeng Zhu; ShuangLin Zhang; Hongyu Zhao; Richard S. Cooper

Publisher
John Wiley and Sons
Year
2002
Tongue
English
Weight
145 KB
Volume
23
Category
Article
ISSN
0741-0395

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✦ Synopsis

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 testing 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 a population structure. Genet. Epidemiol. 23:181–196, 2002. Β© 2002 Wiley‐Liss, Inc.

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