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kermany avatar kermany commented on August 18, 2024

wgr implementation is a distributed version of regenie. Most of the perf gain comes in the second step (regression). for phenotype imputation, I'd say you can use either method. the regression side is near linear perf ~ compute cluster size

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hguturu avatar hguturu commented on August 18, 2024

@kermany good to hear from you :D.

That makes sense that most of the gains are from the regression step. I am less concerned about the performance since I agree the performance gains, and more concerned about the equivalence of results between the two implementations.

I did an overlap of the pQTLs found by Glow vs Regenie C++ and there was very little overlap. Similarly the effect sizes and pvalues were uncorrelated.

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