Linear mixed models, GWAS, and lme4qtl with Andrey Ziyatdinov (#21)
May 31, 2018
Linear mixed models are used to analyze GWAS data and detect QTLs. Andrey Ziyatdinov recently released an R package, lme4qtl, that can be used to formulate and fit these models. In this episode, Andrey and I discuss linear mixed models, genome-wide association studies, and strengths and weaknesses of lme4qtl.
- Paper: lme4qtl: linear mixed models with flexible covariance structure for genetic studies of related individuals
- lme4qtl on GitHub
Don't miss the next episode! Subscribe on Apple Podcasts, Google Podcasts, Spotify, or via the RSS feed link. You can also follow the podcast on Twitter and Mastodon.
Music: Eric Skiff — Come and Find Me (modified, licensed under CC BY 4.0).