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in the output of the XPASS function, your tutorial says mu1 and mu2 are simply the ldpred-inf posterior probabilities for beta. I find that they are different from what I get with the exact same dataset, and hence so are the phenotypic predictions, when I run ldpred1. Am I correct in interpreting that this is because the XPASS function takes posterior probabilities per block whereas ldpred-inf uses a radius (typically between 100-500 SNPs)? Thank you
The text was updated successfully, but these errors were encountered:
Yes, the only difference in our implementation and LDpred1 is that we partition the genome by approximately independent LD blocks while LDpred1 simply uses LD windows defined by a given radius. In practice, we found the predictive R2 of the two approaches are very similar.
Hello, I have a #question,
in the output of the XPASS function, your tutorial says mu1 and mu2 are simply the ldpred-inf posterior probabilities for beta. I find that they are different from what I get with the exact same dataset, and hence so are the phenotypic predictions, when I run ldpred1. Am I correct in interpreting that this is because the XPASS function takes posterior probabilities per block whereas ldpred-inf uses a radius (typically between 100-500 SNPs)? Thank you
The text was updated successfully, but these errors were encountered: