Skip to main content
. Author manuscript; available in PMC: 2022 Oct 7.
Published in final edited form as: Nat Genet. 2022 Apr 7;54(4):450–458. doi: 10.1038/s41588-022-01036-9

Figure 1: Overview of PolyPred and PolyPred+.

Figure 1:

(a) Overview of PolyPred. PolyPred linearly combines the effect sizes of BOLT-LMM (βBOLT–LMM) and PolyFun-pred (βPolyFun–pred), (trained using European training data). It uses a small training sample from the target population to estimate mixing weights (ω1, ω2) for the constituent methods. (b) Overview of PolyPred+. PolyPred+ linearly combines the effect sizes of BOLT-LMM (βBOLT–LMM), PolyFun-pred (βPolyFun–pred) (trained using European training data), and BOLT-LMM-pop (βBOLT–LMM–pop) (trained using non-European training data from the target population). It uses a small training sample from the target population to estimate mixing weights (ω1, ω2, ω3) for the constituent methods. PolyPred-S and PolyPred-P (resp. Poly-Pred-S+ and PolyPred-P+) replace all instances of BOLT-LMM with SBayesR or PRS-CS, respectively.