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kreid415kreid415/claude-science-skills/variant-annotation/SKILL.md

variant-annotation

Skill1 starsChanged 40 days agoNo licenceView on GitHub

Annotate and interpret human DNA variants (SNV, indel) — normalize VCF with bcftools norm (left-align, split multiallelics), convert rsID / HGVS / chr-pos-ref-alt with Ensembl variant_recoder, predict consequences with the Ensembl VEP REST API (GRCh38, GRCh37), look up ClinVar clinical significance and review status via NCBI E-utilities, get gnomAD population allele frequencies via the GraphQL API (gnomad_r4), read AlphaMissense and REVEL missense pathogenicity scores, and frame evidence under ACMG/AMP criteria (PM2, BA1, PP3, BP4; Pejaver 2022, Bergquist 2025 calibrations). Use for VUS triage, variant lookup, annotating a short variant list, benchmark-label provenance (ClinVar/predictor leakage). Research support only, not clinical classification. Not for variant calling or GWAS; not for genome-scale VCF annotation (run local VEP/bcftools csq instead).

2 other projects use a version of this.

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2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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