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• W2885996917 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." @default.
• W2885996917 created "2018-08-22" @default.
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• W2885996917 date "2018-07-30" @default.
• W2885996917 modified "2023-09-23" @default.
• W2885996917 title "A novel gene-set association test based on variance-gamma distribution" @default.
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• W2885996917 doi "https://doi.org/10.1177/0962280218791205" @default.
• W2885996917 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6379139" @default.
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