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PolyFun (POLYgenic FUNctionally-informed fine-mapping)

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Hi Omer, I have a recommendation to substitute for HESS generated priors in the SuSie workflow. We discussed on other different threads as to how this causes issue with small...

Hi, I am interested in creating priors with PolyFun using approach 3. I would like to pass estimates of LD from the data I have, stored in .bcor files. Is...

Hi Omer, Can I know if we have some advice on how to fix this AssertionError ? : ------------------------------------------------------------------------------------------------------------------------------ Traceback (most recent call last): File "/filepath/finemapper.py", line 1262, in residual_var=args.susie_resvar,...

## Overview We have processed the GWAS summary statistics for many dozens of traits using a pipeline that performs functionally-informed fine-mapping with PolyFun. Overall this has been very successful (thanks...

I understand that PolyFun (Nat Genet, 2020) was developed to estimate prior causal probability based on functional annotation by using summary statistics for a single trait. Now we have cis-eQTL...

# munge_polyfun_sumstats.py In line 62 I noticed that when the columns are renamed, freq and MAF seem to be treated the same. But couldn't these two things be different in...

Hello! First off thank you for this amazing package/pipeline! I had a question regarding my summary statistics. I have a column for MAF for cases and MAF for controls, but...

Dear Omer, I am planning to apply PolyFun + SuSiE by including our own functional annotation data (~10 different types) predicted by deep learning model. However, we only have predictions...

HI, I noticed that in the WIKI about PolyPred, the result generated by the parameter --predBetasFile in bolt-lmm was used as an estimate of the effect size of the tag...

Hello, thank you very much for the development and maintenances of the PolyFUN program. I have engaged in conducting finemapping on the pig genome using the PolyFun because the functional...