BootCorr

Model matrix of structure adjustments.

Offset applied during rank-normalization. See
<code><a rd-options="" href="/link/rankNormal?package=RNOmni&version=0.4.0" data-mini-rdoc="RNOmni::rankNormal">rankNormal</a></code>.

Bootstrap samples for correlation estimation.

Run bootstraps in parallel? Must register parallel backend first.

parallel

Estimates the correlation between correlated p-values on the Z-score scale.
Avoids the assumption that the correlation between p-values is constant across
loci. Instead, bootstrap is used to calculate locus-specific estimates of the
correlation between p-values.

Implementation of genetic association tests using the rank based inverse normal transformation (INT). The primary contribution is an omnibus test, which synthesizes two complementary INT-based approaches. In simulations against phenotypes with skewed and heavy tailed residuals, the omnibus test provided valid inference in the absence of genetic effects. When genetic effects were present, the omnibus test provided power comparable to the more efficient of the component methods. Under these settings, standard linear regression variously failed to control the type I error in the absence of genetic effects, and was underpowered in the presence of genetic effects.

Zachary McCaw

RNOmni

Omnibus Test for Genetic Association Analysis using the Rank
Normal Transformation

BootCorr function

Offset applied during rank-normalization. See
<code><a rd-options='' href='rankNormal'>rankNormal</a></code>.

BootCorr: Bootstrap Correlation Estimate.

Description

Usage

Arguments

Value