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

ABSTRACT: 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 p-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.

SUBMITTER: Chen Z

PROVIDER: S-EPMC6379139 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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

Chen Zhongxue Z Liu Qingzhong Q Wang Kai K

Statistical methods in medical research 20180730 9

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 <i>p</i>-value can be easily calculated. Through a comprehe ...[more]

PMID: 30056781

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