#21 Linear mixed models, GWAS, and lme4qtl with Andrey Ziyatdinov - a podcast by Roman Cheplyaka
from 2018-05-31T19:00
::
::
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.
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.
Further episodes of the bioinformatics chat
Further podcasts by Roman Cheplyaka
Website of Roman Cheplyaka