Agent skill · Data & Analytics

tooluniverse-polygenic-risk-score

Build and interpret polygenic risk scores (PRS) for complex diseases using GWAS summary statistics. Calculates genetic risk profiles, interprets PRS percentiles, and assesses disease predisposition across conditions including type 2 diabetes, coronary artery disease, and Alzheimer's disease. Use when asked to calculate polygenic risk scores, interpret genetic risk for complex diseases, build custom PRS from GWAS data, or answer questions like "What is my genetic predisposition to breast cancer?

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill tooluniverse-polygenic-risk-score --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 8
SKILL.md size: 14 KB
Bundled scripts: yes
Path: skills/openclaw/tooluniverse-polygenic-risk-score/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Polygenic Risk Score (PRS) Builder Build and interpret polygenic risk scores for complex diseases using genome-wide association study (GWAS) data. ## Overview **Use Cases:** - "Calculate my genetic risk for type 2 diabetes" - "Build a polygenic risk score for coronary artery disease" - "What's my genetic predisposition to Alzheimer's disease?" - "Interpret my PRS percentile for breast cancer risk" **What This Skill Does:** - Extracts genome-wide significant variants (p < 5e-8) from GWAS Catalog - Builds weighted PRS models using effect sizes (beta coefficients) - Calculates individual risk scores from genotype data - Interprets PRS as population percentiles and risk categories **What This Skill Does NOT Do:** - Diagnose disease (PRS is probabilistic, not deterministic) - Replace clinical assessment or genetic counseling - Account for non-genetic factors (lifestyle, environment) - Provide treatment recommendations ## Methodology ### PRS Calculation Formula A polygenic risk score is calculated as a weighted sum across genetic variants: ``` PRS = Σ (dosage_i × effect_size_i) ``` Where: - **dosage_i**: Number of effect alleles at SNP i (0, 1, or 2) - **effect_size_i**: Beta coefficie

What's inside
Steps it walks through
  1. Overview
  2. Methodology
  3. PRS Calculation Formula
  4. Standardization
  5. Significance Thresholds
  6. Effect Size Handling
  7. Data Sources
  8. Key Concepts
  9. Polygenic Risk Scores (PRS)
  10. GWAS (Genome-Wide Association Studies)
  11. Effect Sizes and Odds Ratios
  12. Linkage Disequilibrium (LD) and Clumping
  13. Population Stratification
  14. Applications
Ships with 7 files
  • .env.template
  • QUICK_START.md
  • README.md
  • check_data.py
  • python_implementation.py
  • test_prs_tools.py
  • test_skill_comprehensive.py
More from awesome-bio-agent-skills
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About this skill
What does the tooluniverse-polygenic-risk-score skill do?

Build and interpret polygenic risk scores (PRS) for complex diseases using GWAS summary statistics. Calculates genetic risk profiles, interprets PRS percentiles, and assesses disease predisposition across conditions including type 2 diabetes, coronary artery disease, and Alzheimer's disease. Use when asked to calculate polygenic risk scores, interpret genetic risk for complex diseases, build custom PRS from GWAS data, or answer questions like "What is my genetic predisposition to breast cancer?

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill tooluniverse-polygenic-risk-score --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.

Keep going