Simulated genotypes for 1000 subjects (rows) at 1000 loci (columns).
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 based on 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 residual distributions, the omnibus test provided valid inference in the absence of a genotypic effect, and provided power comparable to the more powerful of the component methods in the presence of a genotypic effect. Under these settings, standard linear regression often failed to control the type I error.

Zachary McCaw

RNOmni

Omnibus Test for Genetic Association Analysis using the Rank
Normal Transformation

G function

A double matrix with 1000 rows and 1000 columns.<dl class="dl-horizontal">
 <dt>s1-s1000</dt><dd>Each column corresponds to genotype a given locus for 1000 subjects.</dd>
</dl>

Format

Simulated Genotypes — G

A double matrix with 1000 rows and 1000 columns.<dl class='dl-horizontal'>
 <dt>s1-s1000</dt><dd>Each column corresponds to genotype a given locus for 1000 subjects.</dd>
</dl>

G: Simulated Genotypes

Description

Usage

Arguments

Format