A Randomization test for controlling population stratification in whole-genome association studies
A Randomization test for controlling population stratification in whole-genome association studies
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DOI：
10.1086/521372
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发表时间：
2007-11-01
影响因子：
9.8
通讯作者：
Karp, Richard M.
中科院分区：
文献类型：
--
作者：
Kimmel, Gad;Jordan, Michael I.;Karp, Richard M.
种群分层可能是全基因组关联研究分析中的一个严重障碍。我们提出了一种评估关联分数在分层全基因组队列中的重要性的方法。我们的方法是类似于标准排列测试的随机化测试。它以基因型矩阵为条件，因此不仅考虑了种群结构，还考虑了基因组的复杂连锁不平衡结构。正如我们在仿真实验中所显示的，我们的方法比现有方法获得了更高的功率和更好的误检率控制。此外，它还可以很容易地应用于全基因组关联研究。
Population stratification can be a serious obstacle in the analysis of genomewide association studies. We propose a method for evaluating the significance of association scores in whole-genome cohorts with stratification. Our approach is a randomization test akin to a standard permutation test. It conditions on the genotype matrix and thus takes into account not only the population structure but also the complex linkage disequilibrium structure of the genome. As we show in simulation experiments, our method achieves higher power and significantly better control over false-positive rates than do existing methods. In addition, it can be easily applied to whole-genome association studies.