DNA Analysis with Claude
Analyze your genetic data through conversation with Claude. Works with 23andMe, AncestryDNA, MyHeritage, Nebula, and other DNA testing services. Run scripts, explore your genome, and get personalized explanations — all in natural dialogue.
Why Claude + DNA?
Traditional DNA analysis tools give you static reports. With Claude, you get:
- Interactive exploration — Ask follow-up questions about any result
- Plain English explanations — No need to Google every SNP
- Cross-category insights — Connect findings across health, nutrition, ancestry
- Personalized context — Discuss how results apply to your specific situation
- Research deep-dives — Ask Claude to explain the science behind any marker

Quick Start
- Export raw data from your DNA testing service (see Supported Services)
- Place the file in
data/folder - Open Claude Code in this project directory
- Tell Claude: "Update scripts to use my genome file: data/your_filename.txt"
- Start chatting:
You: Run the health analysis script
Claude: *runs health_analysis.py, shows results*
You: What does my MTHFR status mean for daily life?
Claude: *explains your specific genotype and practical implications*
You: Should I be concerned about the APOE result?
Claude: *provides context, explains penetrance, suggests next steps*
Available Analysis Scripts
| Script | What it analyzes |
|---|---|
health_analysis.py | Cardiovascular, oncology, neurology, diabetes, pharmacogenomics |
ancestry_analysis.py | Ethnic markers, haplogroups, pigmentation genes |
nutrition_analysis.py | Lactose, gluten, caffeine, alcohol, vitamins metabolism |
carrier_status_analysis.py | Hereditary condition carrier status |
cognitive_analysis.py | Cognitive traits and predispositions |
longevity_analysis.py | Longevity-associated variants |
psychology_analysis.py | Psychological traits |
sports_fitness_analysis.py | Athletic performance genetics |
sleep_chronotype_analysis.py | Sleep patterns, circadian rhythm |
immunity_analysis.py | Immune system markers |
detoxification_analysis.py | Detox pathways, enzyme activity |
skin_analysis.py | Skin characteristics |
vision_hearing_analysis.py | Sensory genetics |
pain_sensitivity_analysis.py | Pain perception |
reproductive_analysis.py | Reproductive health |
physical_traits_analysis.py | Physical characteristics |
Example Conversations
Exploring Health Results
You: Run health analysis and tell me the most important findings
You: I see I have a variant in CYP2D6. What medications should I be careful with?
You: My doctor wants to prescribe codeine. Is that safe for my genotype?
Understanding Ancestry
You: Analyze my ancestry markers
You: What does the EDAR variant tell us about my ancestry?
You: How do my haplogroups connect to migration patterns?
Optimizing Nutrition
You: What does my genome say about coffee metabolism?
You: Based on my variants, what supplements might actually help me?
You: I'm lactose intolerant symptoms-wise. What does my genetics show?
Deep Dives
You: Explain the APOE gene and why it matters
You: What's the current research on rs1801133?
You: How reliable are these SNP associations? What's the evidence quality?
Generating Webpage
You: Run all analysis scripts
Claude: *runs 17 analysis scripts, generates reports/*
You: Generate DNA Terminal webpage
Claude: *reads reports, creates webpage/dna_terminal.html*
You: Open the webpage in browser
Claude: *opens file in default browser*
Full Pipeline (One Command)
You: Run complete DNA analysis pipeline — all scripts, then generate webpage
Project Structure
dna-claude-analysis/
├── data/
│ ├── README.md # Instructions for data placement
│ └── your_genome.txt # ← Put your DNA file here
├── scripts/
│ └── *_analysis.py # Analysis scripts (17 categories)
├── reports/ # Generated markdown reports
├── webpage/
│ ├── STYLE_GUIDE.md # Terminal UI design system
│ └── dna_terminal.html # ← Generated webpage
├── .claude/ # Claude project settings
├── CLAUDE.md # Project instructions for Claude
├── .gitignore # Keeps your data private
└── README.md
Setup: Configuring Your Data File
Important: Before running scripts, you need to set the path to your genome file.
Option 1: Ask Claude (Recommended)
Just tell Claude:
You: Update all scripts to use my genome file: data/my_dna_file.txt
Claude will update the GENOME_FILE variable in all scripts automatically.
Option 2: Manual Setup
Each script has a GENOME_FILE variable at the top:
# In scripts/health_analysis.py (and other scripts)
GENOME_FILE = f"{BASE_PATH}/data/your_genome_file.txt" # ← Change this
Replace with your actual filename:
GENOME_FILE = f"{BASE_PATH}/data/genome_John_Doe_v5_Full_20240101.txt"
How It Works
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Your Genome │ ──▶ │ Python Script │ ──▶ │ Markdown Report│
│ (600K SNPs) │ │ (analyze SNPs) │ │ (findings) │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│
┌───────────────────┴───────────────────┐
▼ ▼
┌─────────────────┐ ┌─────────────────┐
│ Claude │ │ DNA TERMINAL │
│ (explain, │ │ (interactive │
│ contextualize,│ │ webpage) │
│ answer Qs) │ │ │
└─────────────────┘ └─────────────────┘
Generate Interactive Webpage
After running analysis scripts, Claude can generate a beautiful DNA Terminal webpage — a single-file HTML visualization with terminal/hacker aesthetic.
Quick Start
You: Generate DNA Terminal webpage from the reports
Claude: *reads all reports, creates webpage/dna_terminal.html*
What You Get
- Single HTML file — No dependencies, works offline
- Terminal aesthetic — Matrix-style green-on-black interface
- Fixed navigation — Jump between sections
- Color-coded risks — Green (good), amber (warning), red (risk)
- Mobile responsive — Works on any device
Style Guide
See webpage/STYLE_GUIDE.md for complete design system:
- Color palette and typography
- Component library (tables, charts, findings)
- Section structure and IDs
- Build instructions
Complete Workflow
┌─────────────────────────────────────────────────────────────────────┐
│ DNA ANALYSIS PIPELINE │
├─────────────────────────────────────────────────────────────────────┤
│ │
│ STEP 1: DATA │
│ ───────────────── │
│ • Export raw DNA from 23andMe/Ancestry/etc │
│ • Place in data/ folder │
│ • Tell Claude: "Use my file: data/genome.txt" │
│ │
│ STEP 2: ANALYSIS │
│ ───────────────── │
│ • "Run health analysis" — single script │
│ • "Run all analysis scripts" — full pipeline │
│ • Reports saved to reports/*.md │
│ │
│ STEP 3: EXPLORE │
│ ───────────────── │
│ • Ask questions about any finding │
│ • "What does my APOE status mean?" │
│ • "How does this affect my diet?" │
│ │
│ STEP 4: VISUALIZE │
│ ───────────────── │
│ • "Generate DNA Terminal webpage" │
│ • Opens interactive HTML dashboard │
│ • Terminal aesthetic with navigation │
│ │
└─────────────────────────────────────────────────────────────────────┘
Tips for Best Results
- Start broad, then narrow — Run a full analysis first, then ask about specific findings
- Ask "so what?" — Claude can explain practical implications, not just raw data
- Request comparisons — "How does my result compare to population averages?"
- Explore connections — "Could my sleep issues be related to any of these variants?"
- Verify important findings — Ask Claude about evidence quality and study sizes
Important Notes
- Not medical advice — This is educational exploration, not diagnosis
- Genetics ≠ destiny — Environment and lifestyle matter more for most traits
- Consult professionals — For medical decisions, see a genetic counselor
- Privacy first — Your genome data stays local on your machine
Requirements
- Python 3.6+
- Claude Code (or any Claude interface with file access)
- Raw DNA data from any major testing service
Supported DNA Testing Services
Scripts work with raw data from multiple providers. Most use similar formats (rsID, chromosome, position, genotype).
Consumer Genotyping (~600K-700K SNPs)
| Service | Coverage | Raw Data Export | Notes |
|---|---|---|---|
| 23andMe | ~640K SNPs | Settings → 23andMe Data → Download | Most popular, good health reports |
| AncestryDNA | ~700K SNPs | Settings → Download DNA Data | Best for genealogy |
| MyHeritage DNA | ~700K SNPs | DNA → Manage DNA kits → Download | Good European coverage |
| FamilyTreeDNA | ~700K SNPs | myFTDNA → Download Raw Data | Y-DNA & mtDNA specialists |
| Living DNA | ~650K SNPs | Account → Download | Best British Isles ancestry |
Whole Genome Sequencing (WGS) — Full Coverage
| Service | Coverage | Price Range | Notes |
|---|---|---|---|
| Nebula Genomics | 30x WGS | $250-300 | Privacy-focused, good reports |
| Dante Labs | 30x WGS | $200-400 | European company |
| Sequencing.com | 30x WGS | $200-400 | Good app ecosystem |
| Sano Genetics | 30x WGS | ~$300 | UK-based |
Free / Research Options
| Service | Type | Notes |
|---|---|---|
| All of Us | WGS | NIH research program (US only) |
| Our Future Health | Genotyping | UK research program |
| Genes for Good | Genotyping | University of Michigan (limited) |
Where to Upload Existing Data
Already tested? Upload your raw data for additional analysis:
- Promethease — $12, comprehensive health report
- GEDmatch — Free, genealogy & ethnicity
- Genetic Genie — Free, methylation & detox
- Codegen.eu — Free, various health reports
- DNA.Land — Free, ancestry & traits
Getting Your Data
23andMe
- Log into 23andMe
- Settings → 23andMe Data → Download Raw Data
- Unzip and place in
data/folder
AncestryDNA
- Log into Ancestry
- DNA → Settings → Download DNA Data
- Confirm via email, download, place in
data/
MyHeritage
- Log into MyHeritage
- DNA → Manage DNA kits → Actions → Download
- Place in
data/folder
Other Services
Most services: Account Settings → Download Raw Data → Place in data/
File Format
Scripts expect standard format (auto-detected):
# rsid chromosome position genotype
rs4477212 1 82154 AA
rs3094315 1 752566 AG
Most services use this format. VCF files from WGS may need conversion (ask Claude for help).
Explore your genome through conversation. Ask Claude anything.