Genetic association test based on principal component analysis

Zhongxue Chen; Shizhong Han; Kai Wang

doi:10.1515/sagmb-2016-0061

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Genetic association test based on principal component analysis

Journal article

Peer reviewed

Genetic association test based on principal component analysis

Zhongxue Chen, Shizhong Han and Kai Wang

Statistical applications in genetics and molecular biology, Vol.16(3), pp.189-198

07/26/2017

DOI: 10.1515/sagmb-2016-0061

PMID: 28672760

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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.

Genetic Variation

Genetic Association Studies - methods

Models, Genetic

Principal Component Analysis

Computer Simulation

Humans

Details

Title: Subtitle: Genetic association test based on principal component analysis
Creators: Zhongxue Chen - .
Shizhong Han - .
Kai Wang - .
Resource Type: Journal article
Publication Details: Statistical applications in genetics and molecular biology, Vol.16(3), pp.189-198
Publisher: Germany
DOI: 10.1515/sagmb-2016-0061
PMID: 28672760
ISSN: 2194-6302
eISSN: 1544-6115
Language: English
Date published: 07/26/2017
Academic Unit: Psychiatry; Biostatistics
Record Identifier: 9983997473802771

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