lit_h

Identifying latent genetic interactions in genome-wide association studies
using the Latent Interaction Testing (LIT) framework.
LIT is a flexible kernel-based approach that leverages information across
multiple traits to detect latent genetic interactions without specifying or
observing the interacting variable (e.g., environment). LIT accepts
standard PLINK files as inputs to analyze large genome-wide association studies.

Andrew Bass

Latent Interaction Testing for Genome-Wide Studies

Michael Epstein

lit_h function

<dl><dt>y</dt>
<dd>matrix of traits (n observations by k traits)</dd>
<dt>x</dt>
<dd>matrix of SNPs (n observations by m SNPs)</dd>
<dt>adjustment</dt>
<dd>matrix of covariates to adjust traits</dd>
<dt>pop_struct</dt>
<dd>matrix of PCs that captures population structure</dd></dl>

Arguments

LIT correcting for dominance effects — lit_h

<dl>

<dt>y</dt>
<dd>matrix of traits (n observations by k traits)</dd>


<dt>x</dt>
<dd>matrix of SNPs (n observations by m SNPs)</dd>


<dt>adjustment</dt>
<dd>matrix of covariates to adjust traits</dd>


<dt>pop_struct</dt>
<dd>matrix of PCs that captures population structure</dd>

</dl>

lit_h: LIT correcting for dominance effects

Description

Usage

Arguments