bymims-harvard· 57 skills
Statistical fine-mapping of GWAS loci using credible sets (SuSiE, FINEMAP) and locus-to-gene scoring (Open Targets L2G). Identifies likely causal variants and target genes — distinct from positional 'nearest gene' which is often wrong. Use for prioritizing causal variants at GWAS hits, comparing fine-mapping methods, and converting lead SNPs to target genes.
$npx -y skills add mims-harvard/tooluniverse --skill tooluniverse-gwas-finemappingInstalls into the current project.
Run `npx skills use "https://github.com/mims-harvard/tooluniverse" --skill "mims-harvard/tooluniverse/tooluniverse-gwas-finemapping"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mims-harvard/tooluniverse" that are relevant to the current task. Run `npx skills add "https://github.com/mims-harvard/tooluniverse"` and select the relevant skills, then follow their instructions.