What problem does it solve?
Raw ClinVar lookups report a label without context, so a heterozygous carrier of a recessive allele can look as alarming as a dominant pathogenic finding. This Skill screens a genotype set against curated OMIM-morbid, ACMG-SF, and Hereditary-Cancer panels and ranks carried variants by actual clinical actionability, following the pathogenicity-screening method of Corpas et al. 2021.
Core Features & Use Cases
- Panel-Based Screening: Intersects input genotypes with a curated offline panel of catalogued clinical loci carrying ClinVar significance, review status, gnomAD frequency, condition, and inheritance model.
- Actionability Classification: Categorizes each variant as actionable, affected, carrier, uncertain, benign, or reference based on zygosity and inheritance, with a plain-language rationale for every finding.
- Ranked Findings Report: Returns findings sorted by clinical priority plus a summary of loci tested, carried, and flagged, with a headline conclusion.
- Use Case: A researcher with consumer array genotype data (e.g., rsid-to-genotype dict) wants to know which carried variants warrant clinical follow-up versus which are benign carrier states, without per-call ClinVar or gnomAD network queries.
Quick Start
Ask the AI to screen your genotype data against the clinical variant panel and list any actionable or carrier findings ranked by priority.