tooluniverse-gwas-drug-discovery
Transform GWAS signals into actionable drug targets and repurposing opportunities. Performs locus-to-gene mapping, target druggability assessment, existing drug identification, safety profile evaluation, and clinical trial matching. Use when discovering drug targets from GWAS data, finding drug repurposing opportunities from genetic associations, or translating GWAS findings into therapeutic leads.
npx skills add BioTender-max/awesome-bio-agent-skills --skill tooluniverse-gwas-drug-discovery --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# GWAS-to-Drug Target Discovery Transform genome-wide association studies (GWAS) into actionable drug targets and repurposing opportunities. ## Overview This skill bridges genetic discoveries from GWAS with drug development by: 1. **Identifying genetic risk factors** - Finding genes associated with diseases 2. **Assessing druggability** - Evaluating which genes can be targeted by drugs 3. **Prioritizing targets** - Ranking candidates by genetic evidence strength 4. **Finding existing drugs** - Discovering approved/investigational compounds 5. **Identifying repurposing opportunities** - Matching drugs to new indications ### Why This Matters **From Genetics to Therapeutics**: GWAS has identified thousands of disease-associated variants, but most haven't been translated into therapies. This skill accelerates that translation. **Success Stories**: - **PCSK9** (cholesterol) → Alirocumab, Evolocumab (approved 2015) - **IL-6R** (rheumatoid arthritis) → Tocilizumab (approved 2010) - **CTLA4** (autoimmunity) → Abatacept (approved 2005) - **CFTR** (cystic fibrosis) → Ivacaftor (approved 2012) **Genetic Evidence Doubles Success Rate**: Targets with genetic support have 2x higher probability o
- Overview
- Why This Matters
- Core Concepts
- 1. GWAS Evidence Strength
- 2. Druggability Criteria
- 3. Target Prioritization Framework
- 4. Drug Repurposing Logic
- Workflow Steps
- Step 1: GWAS Gene Discovery
- Step 2: Druggability Assessment
- Step 3: Target Prioritization
- Step 4: Existing Drug Search
- Step 5: Clinical Evidence
- Step 6: Repurposing Opportunities
What does the tooluniverse-gwas-drug-discovery skill do?
Transform GWAS signals into actionable drug targets and repurposing opportunities. Performs locus-to-gene mapping, target druggability assessment, existing drug identification, safety profile evaluation, and clinical trial matching. Use when discovering drug targets from GWAS data, finding drug repurposing opportunities from genetic associations, or translating GWAS findings into therapeutic leads.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill tooluniverse-gwas-drug-discovery --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.