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personal-genomics-analysis

Analyze 23andMe genomic data to identify health risks and generate markdown reports.

45|50|Updated Jan 24, 2026
Search Tags:#genomics#pharmacogenomics#personalized report#23andme#ancestry#health risks
One-click install
npx skills add https://github.com/zocomputer/skills --skill personal-genomics-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: personal-genomics-analysis
Source: https://github.com/zocomputer/skills/tree/main/Community/personal-genomics-analysis
Command: npx skills add https://github.com/zocomputer/skills --skill personal-genomics-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sqlite3, aiohttp, matplotlib, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill transforms raw genetic data into actionable health insights, ancestry information, and personalized reports, making complex genomics accessible.

Core Features & Use Cases

  • Comprehensive Analysis: Identifies health risks, drug sensitivities, ancestry, and traits from 23andMe data.
  • Database Creation: Builds local databases for your genome, clinical variants (ClinVar), and pharmacogenomics (PharmGKB).
  • Use Case: Upload your 23andMe data to understand how you might metabolize certain medications, assess risks for conditions like diabetes or Alzheimer's, and discover your ancestral makeup.

Quick Start

Run the personal genomics analysis pipeline using your 23andMe raw data file.

Frequently Asked Questions about personal-genomics-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze 23andMe raw data for health risks and drug sensitivities?▼

To analyze 23andMe raw data for health risks and drug sensitivities, you can run a pipeline that parses your genome file, builds local SQLite databases for clinical variants, and generates a markdown report with visualizations and actionable insights.

What is pharmacogenomics analysis and how does it process personalized genetic reports?▼

Pharmacogenomics analysis identifies how your genetic makeup affects drug metabolism by processing raw genomic data against pharmacogenomics databases, producing a personalized report that highlights medication sensitivities and actionable health insights.

Does this genomics analysis require Python and SQLite to parse ancestry data?▼

Yes, analyzing genomics data to determine ancestry and traits requires Python, SQLite, and specific libraries like aiohttp and matplotlib to parse raw data and generate visualizations for your personalized report.

Can I use local databases to identify genetic health risks from 23andMe data?▼

Yes, you can create local databases such as clinvar.db and pharmgkb.db to identify genetic health risks from 23andMe data, ensuring your raw genomic variants are securely parsed and analyzed for actionable insights.

What are the limitations of analyzing personal genomic data for ancestry and traits?▼

Limitations of analyzing personal genomic data include dependency on external reference databases like ClinVar and PharmGKB for accurate health risk assessment, meaning your ancestry and trait insights are constrained by the raw 23andMe data provided.

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