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.


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install.packages("RNOmni")

0.5.0 by Zachary McCaw, a month ago


Browse source code at https://github.com/cran/RNOmni


Authors: Zachary McCaw [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports abind, foreach, plyr, Rcpp

Suggests cowplot, ggplot2, knitr, reshape2, rmarkdown

Linking to Rcpp, RcppEigen


See at CRAN