Association mapping, using a mixture model for complex traits
Association mapping, using a mixture model for complex traits
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DOI：
10.1002/gepi.210
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发表时间：
2002-08-01
影响因子：
2.1
通讯作者：
Cooper, RS
中科院分区：
文献类型：
--
作者：
Zhu, XF;Zhang, SL;Cooper, RS
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. (C) 2002 Wiley-Liss, Inc.
