A novel gene-set association test based on variance-gamma distribution

Several gene- or set-based association tests have been proposed recently in the literature. Powerful statistical approaches are still highly desirable in this area. In this paper we propose a novel statistical association test, which uses information of the burden component and its complement from t...

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Bibliographic Details
Published inStatistical methods in medical research Vol. 28; no. 9; p. 2868
Main Authors Chen, Zhongxue, Liu, Qingzhong, Wang, Kai
Format Journal Article
LanguageEnglish
Published England 01.09.2019
Subjects
genetic association
variance-gamma distribution
Burden test
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Summary:Several gene- or set-based association tests have been proposed recently in the literature. Powerful statistical approaches are still highly desirable in this area. In this paper we propose a novel statistical association test, which uses information of the burden component and its complement from the genotypes. This new test statistic has a simple null distribution, which is a special and simplified variance-gamma distribution, and its -value can be easily calculated. Through a comprehensive simulation study, we show that the new test can control type I error rate and has superior detecting power compared with some popular existing methods. We also apply the new approach to a real data set; the results demonstrate that this test is promising.
ISSN:1477-0334
DOI:10.1177/0962280218791205