Simulated genotypes for 1000 subjects at 1000 loci. Genotypes were simulated 
with use of hapgen2, and are based on the haplotype structure of human 
chromosome one in the CEU population of the 1000 Genomes Project.

datasets

Implementation of genetic association tests that utilize the rank based inverse normal transformation (INT). The primary contribution is an omnibus test, which synthesizes two INT-based approaches, termed direct INT (DINT) and partially indirect INT (PIINT). In genome scale simulations, the omnibus test routinely provided valid inference against continuous phenotypes with skewed and heavy tailed residual distributions. Association testing against these same phenotypes via standard linear regression led to an excess of false positive associations. In addition to controlling the type I error, the omnibus approach provided power comparable to the more powerful of the component methods.

Zachary McCaw

RNOmni

Omnibus Test for Genetic Association Analysis using the Rank
Normal Transformation

G function

An integer matrix with 1000 rows and 1000 columns<dl class="dl-horizontal">
 <dt>s1-s1000</dt><dd>s[i] is an integer vector of minor allele counts for the ith subject.</dd>
</dl>

Format

Simulated Genotypes — G

An integer matrix with 1000 rows and 1000 columns<dl class='dl-horizontal'>
 <dt>s1-s1000</dt><dd>s[i] is an integer vector of minor allele counts for the ith subject.</dd>
</dl>

G: Simulated Genotypes

Description

Usage

Arguments

Format