Genetic association test based on principal component analysis
Genetic association test based on principal component analysis
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DOI：
10.1515/sagmb-2016-0061
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发表时间：
2017-08-01
影响因子：
0.9
通讯作者：
Wang, Kai
中科院分区：
文献类型：
--
作者：
Chen, Zhongxue;Han, Shizhong;Wang, Kai
许多基于基因和途径的关联检验已在文献中提出。其中，SKAT被广泛使用，尤其是用于罕见变异的关联研究。在本文中，我们调查SKAT和主成分分析之间的连接。这项调查导致了一个将SKAT作为特殊情况的程序。通过仿真研究和真实的数据应用，我们比较了所提出的方法与一些现有的测试。
Many gene- and pathway-based association tests have been proposed in the literature. Among them, the SKAT is widely used, especially for rare variants association studies. In this paper, we investigate the connection between SKAT and a principal component analysis. This investigation leads to a procedure that encompasses SKAT as a special case. Through simulation studies and real data applications, we compare the proposed method with some existing tests.