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I am wondering whether I can find an optimal PRS model based on pre-selected variants of interest using PUMAS.
If so, could tell me what steps I need?
Thank you so much,
KJ
The text was updated successfully, but these errors were encountered:
Yes, you can do that in two ways:
(1) Only keep those variants of interest in the GWAS summary statistics and use this reduced sumstats for subsampling and PRS evaluation. Doing this is computationally efficient if you are only interested in a small subset of variants (e.g., LD-pruned SNPs or SNPs from a chromosome).
(2) Use the full summary statistics for subsampling but only keep those variants of interest in the SNP weights file (i.e., --weight_path) when evaluating PRS accuracy. This approach is more generic and should be applicable to any subset of variants.
I hope this is helpful and feel free to let me know if you have other questions/comments.
Hi,
I am wondering whether I can find an optimal PRS model based on pre-selected variants of interest using PUMAS.
If so, could tell me what steps I need?
Thank you so much,
KJ
The text was updated successfully, but these errors were encountered: