Genetic association test based on principal component analysis.

IF 0.8 4区数学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY

Statistical Applications in Genetics and Molecular Biology Pub Date : 2017-07-26 DOI:10.1515/sagmb-2016-0061

Zhongxue Chen, Shizhong Han, Kai Wang

引用次数: 10

Abstract

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.

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基于主成分分析的遗传关联检验。

文献中提出了许多基于基因和通路的关联测试。其中，SKAT被广泛应用于罕见变异体关联研究。在本文中，我们研究了SKAT和主成分分析之间的联系。这项调查导致了一个程序，包括SKAT作为一个特殊情况。通过仿真研究和实际数据应用，将该方法与现有的一些测试方法进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Statistical Applications in Genetics and Molecular Biology BIOCHEMISTRY & MOLECULAR BIOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY

自引率

11.10%

发文量

期刊介绍： Statistical Applications in Genetics and Molecular Biology seeks to publish significant research on the application of statistical ideas to problems arising from computational biology. The focus of the papers should be on the relevant statistical issues but should contain a succinct description of the relevant biological problem being considered. The range of topics is wide and will include topics such as linkage mapping, association studies, gene finding and sequence alignment, protein structure prediction, design and analysis of microarray data, molecular evolution and phylogenetic trees, DNA topology, and data base search strategies. Both original research and review articles will be warmly received.