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DNA Claude Analysis

A personal genome analysis toolkit that parses raw DNA data (23andMe format) and generates detailed markdown reports across 17 health and trait categories. Optionally produces a single-page HTML visualization with a terminal/hacker aesthetic.

Features

  • Analyzes 500+ SNP markers across multiple categories
  • Zero external dependencies — uses only Python standard library
  • Generates markdown reports for each category
  • Categories include: ancestry, health risks, nutrition, sports/fitness, psychology, cognitive traits, longevity, sleep, immunity, pain sensitivity, detoxification, skin, vision/hearing, physical traits, pharmacogenomics, and carrier status

Setup

  1. Export your raw DNA data from 23andMe (or similar service)
  2. Place your genome file as data/genome_data.txt in the script directory
  3. Run any analysis script:
python health_analysis.py

Or run all analyses at once:

for f in *_analysis.py; do python "$f"; done

Reports will be saved to the reports/ directory.

Scripts

Script Description
analyze_dna.py General DNA data overview (ancestry, computed traits, phenotypes)
ancestry_analysis.py Ethnic composition and haplogroup analysis
health_analysis.py Cardiovascular, diabetes, oncology and other health risk markers
nutrition_analysis.py Nutrient metabolism, food sensitivities, dietary recommendations
sports_fitness_analysis.py Muscle fiber type, endurance, injury risk
psychology_analysis.py Behavioral traits, stress response, personality markers
cognitive_analysis.py Memory, learning ability, neuroprotection
longevity_analysis.py Aging markers, telomere length, cellular repair
sleep_chronotype_analysis.py Circadian rhythm, sleep quality, chronotype
immunity_analysis.py Immune response, autoimmune risk, inflammation
pain_sensitivity_analysis.py Pain perception and analgesic response
detoxification_analysis.py Liver enzyme activity, toxin metabolism
skin_analysis.py Skin aging, UV sensitivity, collagen markers
vision_hearing_analysis.py Eye disease risk, hearing loss markers
physical_traits_analysis.py Height, hair, eye color and other trait predictions
carrier_status_analysis.py Recessive disease carrier screening
reproductive_analysis.py Fertility and reproductive health markers

Input Format

The scripts expect a 23andMe raw data export file (genome_data.txt) in standard tab-separated format:

# rsid  chromosome  position  genotype
rs4477212	1	82154	AA
rs3094315	1	752566	AG
...

Output

Each script generates a markdown report in the reports/ directory with:

  • SNP-level findings with risk assessment
  • Color-coded risk levels (normal / moderate / high)
  • Summary statistics and recommendations

Disclaimer

This tool is for educational and informational purposes only. It is not medical advice. Always consult a qualified healthcare professional for medical decisions.