Properties of structured association approaches to detecting population stratification
Properties of structured association approaches to detecting population stratification
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DOI：
10.1159/000083030
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发表时间：
2004-01-01
期刊：
影响因子：
1.8
通讯作者：
Sham, P
中科院分区：
文献类型：
--
作者：
Purcell, S;Sham, P
目的：检验结构化关联方法用于检测和校正人群分层的特性。方法：在潜在类别分析框架内开发了一种方法，类似于Satten等人（2001）和Pritchard等人（2000）提出的方法。一系列模拟说明了基因座的数量和类型、样本大小和群体结构的相对影响。结果：检测分层和分配个人的人口阶层的能力，确定了一些不同的情况。结论：结果强调了仔细选择标记物的重要性。版权所有（C）2004 S. Karger AG，巴塞尔。
Objective: To examine the properties of the structured association approach for the detection and correction of population stratification. Method: A method is developed, within a latent class analysis framework, similar to the methods proposed by Satten et al. (2001) and Pritchard et al. (2000). A series of simulations illustrate the relative impact of number and type of loci, sample size and population structure. Results: The ability to detect stratification and assign individuals to population strata is determined for a number of different scenarios. Conclusion: The results underline the importance of careful marker selection. Copyright (C) 2004 S. Karger AG, Basel.