Closed jcm6t closed 2 years ago
I doubt this is an issue with your sample size. This is likely due to a mismatch between the study population and the LD reference panel. PolyFun runs susie_suff_stat()
directly because it assumes you are using insample LD, e.g. how the PolyFun paper used UKBB summary statistics with UKBB LD.
I recommend passing the flag --susie-resvar 1
to finemapper.py
. This results in susie_suff_stat()
getting called with the arguments residual_variance = 1
and estimate_residual_variance = FALSE
, which are the settings used by susie_rss()
.
John, Thanks for the pointer to the susie interface issues. There is also a discussion happening here: https://github.com/stephenslab/susieR/issues/162
Thanks for making the PolyFun software available, and supporting it with great documentation.
During a finemapper run, we got the following warning which turned into an exception. I'm guessing that we are on the low end of sample size for using this approach (n=11,800) and this represents a sample size issue. We are using the provided UK BB LD-files.
python3 $POLYFUNDIR/finemapper.py \ --ld LD_files/chr7_26000001_29000001 \ --sumstats chr7.res.prior.Z \ --n 11802 \ --chr 7 \ --start 26000001 \ --end 29000001 \ --method susie \ --max-num-causal 5 \ --out chr7.finemap1.gz
thanks, Joe
[WARNING] R[write to console]: Error in (function (bhat, shat, R, n, var_y, XtX, Xty, yty, X_colmeans = NA, : Estimating residual variance failed: the estimated value is negative
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "/mnt/t1/projects/polyfun/finemapper.py", line 1267, in
df_finemap = finemap_obj.finemap(locus_start=args.start, locus_end=args.end, num_causal_snps=args.max_num_causal,
File "/mnt/t1/projects/polyfun/finemapper.py", line 851, in finemap
susie_obj = self.susieR.susie_bhat(
AttributeError: module 'susieR' has no attribute 'susie_bhat'