BootCorr

Offset applied during rank-normalization.

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 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.

BootCorr: Bootstrap Correlation Estimate.

Description

Usage

Arguments

Value