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Supports: 23andMe, AncestryDNA (.txt)
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What is this?
GenomeGist extracts clinically relevant genetic variants from your raw DNA file and outputs a compact summary for AI analysis. Your data never leaves your browser.
Why is this useful?
Raw DNA files from 23andMe, AncestryDNA, and similar services contain hundreds of thousands of genetic variants — far too much for AI tools to process meaningfully. Most of it is noise: variants with no known significance.
The variants that do matter — drug metabolism, nutrient absorption, disease risk — are buried in there with no easy way to find them. GenomeGist extracts just those, producing a file small enough to upload to ChatGPT, Claude, or other AI assistants.
How variants are selected
The variant list is compiled from authoritative databases:
- ClinVar — expert-reviewed clinical variants
- PharmGKB — drug-gene interactions
- GWAS Catalog — significant trait associations
Plus curated nutrigenomics variants: methylation genes (MTHFR), vitamin metabolism, detox enzymes, and food sensitivity markers.
Example output
Here's what a few variants look like in the extracted file:
- rsid: rs1801133
gene: MTHFR
genotype: CT
category: methylation
annotation: "C677T variant. The T allele is associated with reduced
enzyme activity affecting folate metabolism."
- rsid: rs4680
gene: COMT
genotype: AG
category: hormones_neurotransmitters
annotation: "Val158Met variant. The A allele (Met) is associated
with slower dopamine clearance."
- rsid: rs762551
gene: CYP1A2
genotype: AC
category: detoxification
annotation: "Caffeine metabolism variant. The C allele is associated
with slower caffeine clearance."metadata:
tool: GenomeGist
version: "1.0"
date: "2025-01-30"
format: 23andme-v5
disclaimer: For research/educational use only. Not medical advice.
variants:
- rsid: rs1801133
gene: MTHFR
genotype: CT
- rsid: rs4680
gene: COMT
genotype: AG
- rsid: rs762551
gene: CYP1A2
genotype: AC# GenomeGist v1.0 | 2025-01-30 | For research/educational use only. Not medical advice.
# rsid,gene,genotype
rs1801133,MTHFR,CT
rs4680,COMT,AG
rs762551,CYP1A2,AC
rs1799971,OPRM1,AA
rs12248560,CYP2C19,CCDetailed (~100 KB) includes annotations that help AI understand each variant — works well with models that have large context windows (Claude, GPT-4, Gemini). Compact (~20 KB) omits annotations but fits easily in smaller context windows or free-tier AI tools. Minimal (~12 KB) is the most dense format.
What can you do with this?
Upload the file to an AI assistant and ask questions like:
- "What do my MTHFR variants mean for folate supplementation?"
- "Based on my genetics, how might I metabolize caffeine or common medications?"
- "Are there supplements that might be relevant for my specific genotypes?"
Free Demo vs. Full Report
Demo Report
~15 variants
A sample of well-known SNPs including MTHFR, APOE, COMT, and a few others. Enough to verify the tool works with your file and see the output format.
Complete Report
600+ curated variants
Comprehensive coverage of clinically significant and wellness-relevant variants across all categories. Includes pharmacogenomics, nutrigenomics, and disease risk markers with strong research evidence.
$29
What's in the Full Report
The Full Report includes variants organized into the categories below. Each category contains SNPs with established research linking them to relevant health or wellness traits. You can select which categories to include when downloading.
Lipids ~250 variants
Cholesterol and fat metabolism, APOE variants, and obesity-related markers.
Detoxification ~110 variants
CYP450 enzymes for toxin processing, including caffeine and environmental compound metabolism.
Vitamins & Minerals ~80 variants
Vitamin D, A, B12 metabolism and iron absorption pathways.
Hormones & Mood ~45 variants
COMT, dopamine, serotonin, and hormone-related variants affecting mood and stress response.
Cardiovascular ~45 variants
Heart health markers and inflammation-related variants.
Drug Response ~45 variants
CYP2C19, CYP2D6, and other genes affecting how you metabolize medications.
Food Sensitivities ~30 variants
Lactose tolerance, celiac markers, histamine, and alcohol metabolism.
Methylation ~25 variants
MTHFR and related genes affecting folate metabolism and homocysteine levels.
Frequently Asked Questions
How do I get my genome file?
If you've done a DNA test with 23andMe, AncestryDNA, or similar services, you can download your raw data from their website. Look for "Download Raw Data" or similar in your account settings. The file will be a .txt file containing your genetic data.
Is my data safe?
Yes. All processing happens locally in your browser. Your genome file is never uploaded to any server. The only network requests this tool makes are to load the application itself and the SNP reference list.
The source code is publicly available for review. You can audit the code yourself or run it locally.
What AI tools work with the output?
The output file works with any AI assistant that accepts file uploads: ChatGPT, Claude, Google Gemini, and others. The "Compact" format is optimized for AI context limits, keeping the file small while retaining essential information.
Why are some variants marked "no-call"?
A "no-call" means the genotyping array couldn't reliably determine your genotype at that position. This can happen due to sample quality or technical limitations. These variants are included but marked so you know the data is uncertain.
What's included in the Full Report vs. Free Demo?
The Free Demo includes ~15 well-known SNPs like MTHFR, APOE, and COMT — enough to verify the tool works with your file and see what the output looks like.
The Full Report includes 600+ variants drawn from ClinVar (clinical significance), PharmGKB (drug interactions), GWAS Catalog (trait associations), and a curated wellness supplement. These are organized into 8 categories: lipids, detoxification, vitamins & minerals, hormones & mood, cardiovascular, drug response, food sensitivities, and methylation.
How do you decide which SNPs to include?
The SNP list is compiled from established public databases with strict filtering:
- ClinVar variants must be reviewed by expert panels
- PharmGKB entries must have high-evidence clinical annotations
- GWAS results must have extremely strong statistical significance (p < 10-100) from large studies (50,000+ participants)
This is supplemented with curated nutrigenomics and wellness variants that have substantial research literature but may not appear in clinical databases — things like vitamin metabolism genes, detoxification enzymes, and food sensitivity markers.
Can I use this for medical decisions?
No. This tool is for educational and research purposes only. Genetic variants are just one factor in health outcomes. Always consult a healthcare provider or genetic counselor for medical advice.
Privacy
Your genetic data never leaves your browser. All processing happens locally on your device. We don't upload, store, or transmit your genome file. The only network requests are for loading the application itself.
The source code is publicly available. You can audit the code to verify these claims, or run it locally on your own machine.
Pricing
Free Demo
Try the tool with ~15 common SNPs
$0
Full Access
600+ curated variants across all categories
$29
Full Access includes 3 sessions. Each session gives you 24 hours of unlimited access — process multiple files (yours, family members), export with any settings, as many times as you need. Come back months later to re-analyze with new questions.
Disclaimer
This tool is for research and educational purposes only. The information provided is NOT medical advice. Genetic variants may have different effects depending on other genetic and environmental factors.
Consult a healthcare provider or genetic counselor for interpretation of genetic data. The annotations are derived from public databases (ClinVar, PharmGKB, SNPedia) and may not reflect the most current scientific understanding.
GenomeGist does not diagnose, treat, cure, or prevent any disease. Do not make health decisions based solely on this information.