RNOmni (0.5.0)

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.

Maintainer: Zachary McCaw
Author(s): Zachary McCaw [aut, cre]

License: GPL-3

Uses: abind, foreach, plyr, Rcpp, ggplot2, reshape2, knitr, rmarkdown, cowplot

Released 5 days ago.