Hi,
Just wondering whether there is any tutorial or practical on Bayesian-based PGI methods. It would be much appreciated if anyone could point out any useful resources on these advanced approaches.
Thank you!
Most of these methods have tutorial pages:
GitHub - getian107/PRScs: Polygenic prediction via continuous shrinkage priors
LDpred-2 - Basic Tutorial for Polygenic Risk Score Analyses (choishingwan.github.io)
GCTB (cnsgenomics.com)
I do also have a PRS-CS practical that I had used for another course, I’m happy to share that one. I’ll dig it up and put it on /home/aysu/2023/.
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