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- Title
A novel gene-set association test based on variance-gamma distribution.
- Authors
Chen, Zhongxue; Liu, Qingzhong; Wang, Kai
- 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.
- Subjects
FALSE positive error; GENES; COMPLEMENT receptors; GAMMA distributions; STATISTICAL association; ERROR rates; BIOLOGICAL models; COMPUTER simulation; GENETIC polymorphisms; GENOTYPES; RESEARCH funding; STATISTICAL models; GENETIC techniques; PHENOTYPES
- Publication
Statistical Methods in Medical Research, 2019, Vol 28, Issue 9, p2868
- ISSN
0962-2802
- Publication type
journal article
- DOI
10.1177/0962280218791205