RNOmni: Omnibus Test for Genetic Association Analysis using the Rank Normal Transformation

Implementation of genetic association tests for continuous outcomes utilizing the rank-based inverse normal transformation (INT). For outcomes whose residual distribution is heavily skewed or enriched for outliers, INT-based tests provided valid inference and improved power. The primary contribution is a rank normal omnibus test (RNOmni), which synthesizes two complementary INT-based approaches. In simulations against non-normal phenotypes, the omnibus test controlled the type I error in the absence of genetic associations, and improved power in the presence of genetic associations. Under the same settings, standard linear regression variously failed to control the type I error in the absence of associations, and was underpowered in the presence of associations.

Package details

AuthorZachary McCaw [aut, cre]
MaintainerZachary McCaw <[email protected]>
Package repositoryView on CRAN
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RNOmni documentation built on Sept. 21, 2018, 6:17 p.m.