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clinical-variant-prioritizer

clinical-variant-prioritizer

Screen a genotype set (array or WGS-derived) against OMIM-morbid, ACMG-SF and Hereditary-Cancer gene panels and prioritise carried variants by ClinVar significance, gnomAD frequency, inheritance model and zygosity, following the pathogenicity-screening method of Corpas et al. 2021 (Whole Genome Interpretation for a Family of Five).

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: clinical-variant-prioritizer description: Screen a genotype set (array or WGS-derived) against OMIM-morbid, ACMG-SF and Hereditary-Cancer gene panels and prioritise carried variants by ClinVar significance, gnomAD frequency, inheritance model and zygosity, following the pathogenicity-screening method of Corpas et al. 2021 (Whole Genome Interpretation for a Family of Five). license: MIT metadata: version: 0.1.0 author: Manuel Corpas domain: genomics reference: "Corpas M, Megy K, Mistry V, Metastasio A, Lehmann E. Whole Genome Interpretation for a Family of Five. Front Genet. 2021;12:535123. doi:10.3389/fgene.2021.535123" tags:

  • clinical-genomics
  • variant-prioritisation
  • clinvar
  • acmg
  • pathogenicity
  • carrier-screening openclaw: emoji: "🩺" os:
    • darwin
    • linux trigger_keywords:
    • variant prioritisation
    • clinical variants
    • pathogenic variant
    • ClinVar
    • carrier status
    • disease risk variants

clinical-variant-prioritizer

Turn a genotype set into a prioritised list of clinically relevant variants, the way a clinical genome analyst would: screen catalogued disease-gene panels, then rank what is carried by how much it matters, not by how loud the raw ClinVar label is.

This skill implements the pathogenicity-screening stage of Whole Genome Interpretation for a Family of Five (Corpas et al., Front Genet 2021): variants are filtered through OMIM-morbid, ACMG-SF and Hereditary-Cancer panels, intersected with ClinVar significance and gnomAD population frequency, and classified by inheritance model and zygosity.

Why it is not a raw ClinVar lookup

A raw lookup reports a label. This skill reports actionability. The same "pathogenic" allele means very different things depending on context:

ContextCategory
Dominant / risk gene, allele carriedactionable
Recessive gene, homozygousaffected
Recessive gene, heterozygouscarrier (reproductive-risk only)
Uncertain / conflicting ClinVaruncertain (flagged, not acted on)
Benign allele carriedbenign
Variant not carriedreference

A heterozygous carrier of a common, recessive, benign-spectrum allele is not an actionable finding, even when ClinVar shows "pathogenic" submissions. Saying so plainly is the point.

Interface

from api import run

result = run(
    {"rs28941785": "CT", "rs1800562": "GG"},   # rsid -> genotype
    options={"panel_path": "..."},              # optional custom panel
)

run() returns:

  • summary: panel_size, loci_tested, loci_carried, reference, not_tested, and per-category counts (actionable, affected, carriers, uncertain, benign).
  • findings: ranked list (highest priority first); each carries gene, HGVS, consequence, genotype, zygosity, ClinVar significance + review status, gnomAD frequency, condition, inheritance, panel membership, category and a plain-language rationale.
  • headline, method, disclaimer.

Panel

data/clinical_panel.json is a curated set of catalogued clinical loci, each shipping its ClinVar significance, ClinVar review status, gnomAD frequency, consequence, condition and inheritance model, so the screen is deterministic and offline-reproducible (no per-call ClinVar/gnomAD/VEP network round-trips). Extend it by adding entries; keys may be rsids or stable variant ids for WGS-only variants not present on arrays.

Limitations

Array-based input covers only catalogued loci and misses most rare variants; a clean screen is not a clean genome. Heterozygous calls do not establish phase. Confirm any finding with an accredited clinical assay. Research and educational use only; not a clinical diagnosis.

Test

python -m pytest tests/ -q
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