Andrey Ziyatdinov's guest appearances

Andrey Ziyatdinov

the bioinformatics chat

David Kelley

Irineo Cabreros

Romain Lopez

Gabriel Misrachi

Hassan Samee

Kristina Grigaityte

Jacob Schreiber

Simeon Carstens

Trevor Pesout

HoJoon Lee

Seung Woo Cho

Kaushik Panda

Keith Slotkin

Fernando Portela

Chang Xu

OwlTail

Linear mixed models are used to analyze GWAS data and detect QTLs.Andrey Ziyatdinov recently released an R package, lme4qtl, that can be used toformulate and fit these models.In this episode, Andrey and I discuss linear mixed models, genome-wide association studies, and strengths and weaknesses of lme4qtl. Links:  Paper: lme4qtl: linear mixed models with flexible covariance structure for genetic studies of related individuals lme4qtl on GitHub  If you enjoyed this episode, please consider supporting the podcast on Patreon!

Linear mixed models are used to analyze GWAS data and detect QTLs. <a href="https://www.linkedin.com/in/ziyatdinov" rel="nofollow" target="_blank">Andrey Ziyatdinov</a> recently released an R package, <a href="https://github.com/variani/lme4qtl" rel="nofollow" target="_blank">lme4qtl</a>, 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. Links: <ul> <li><a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2057-x" rel="nofollow" target="_blank">Paper: lme4qtl: linear mixed models with flexible covariance structure for genetic studies of related individuals</a></li> <li><a href="https://github.com/variani/lme4qtl" rel="nofollow" target="_blank">lme4qtl on GitHub</a></li> </ul> If you enjoyed this episode, please consider supporting the podcast on <a href="https://www.patreon.com/bioinfochat" rel="nofollow" target="_blank">Patreon</a>!

#21 Linear mixed models, GWAS, and lme4qtl with Andrey Ziyatdinov