<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>genome-wide association | damelo</title><link>https://damelo.net/tag/genome-wide-association/</link><atom:link href="https://damelo.net/tag/genome-wide-association/index.xml" rel="self" type="application/rss+xml"/><description>genome-wide association</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>© {2021} Diogro</copyright><lastBuildDate>Fri, 06 Nov 2026 00:00:00 +0000</lastBuildDate><image><url>https://damelo.net/media/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_3.png</url><title>genome-wide association</title><link>https://damelo.net/tag/genome-wide-association/</link></image><item><title>Indri</title><link>https://damelo.net/project/indri/</link><pubDate>Fri, 06 Nov 2026 00:00:00 +0000</pubDate><guid>https://damelo.net/project/indri/</guid><description>&lt;p>Indri is an R package for estimating additive genetic covariance matrices for large sets of traits. Following the approach of &lt;a href="https://www.biorxiv.org/content/10.1101/255497v1" target="_blank" rel="noopener">LiMMBo&lt;/a>, it fits models to small, overlapping trait subsets instead of one large multivariate animal model, then assembles their estimates into a single covariance matrix with uncertainty estimates for its entries.&lt;/p>
&lt;p>The subset models can be fitted using Bayesian sampling with &lt;a href="https://damelo.net/project/stanimal/">Stanimal&lt;/a> or REML with &lt;code>sommer&lt;/code> or ASReml. Indri also uses the estimated genetic and residual covariances for multi-trait and single-trait genome-wide association scans, with options including dominance effects and permutation tests.&lt;/p>
&lt;p>Indri is under active development. The &lt;a href="https://diogro.github.io/indri/" target="_blank" rel="noopener">documentation&lt;/a> includes examples and guides to using the package.&lt;/p></description></item></channel></rss>