Pharmacogenomics from Your 23andMe Raw Data
Your DNA affects how you respond to medications. GenomeInsight analyzes 14 key pharmacogenes from your existing 23andMe or AncestryDNA raw data — entirely in your browser.
Important: Pharmacogenomics results are educational, not prescriptive. Never change medications without consulting your healthcare provider. These results are a starting point for informed conversations with your doctor.
Why Pharmacogenomics Matters
Adverse drug reactions are a leading cause of hospitalization. Many of these reactions are preventable with pharmacogenomic testing — knowing before you take a drug whether your body will process it normally.
For example, if you're a CYP2C19 poor metabolizer, clopidogrel (Plavix) may not protect you from blood clots after a stent. If you're a CYP2D6 ultra-rapid metabolizer, standard codeine doses could become dangerously toxic.
The FDA includes pharmacogenomic information on over 200 drug labels. This isn't fringe science — it's mainstream medicine catching up with genomics.
Genes We Analyze
CYP2D6
Codeine, tramadol, tamoxifen, many antidepressants, beta-blockers
Metabolizes ~25% of all medications
CYP2C19
Clopidogrel (Plavix), PPIs (omeprazole), some antidepressants
Critical for antiplatelet therapy
CYP2C9
Warfarin, NSAIDs, some antidiabetics
Affects bleeding risk with warfarin
CYP3A5
Tacrolimus, some statins, calcium channel blockers
Key for transplant medicine
SLCO1B1
Statins (simvastatin, atorvastatin)
Myopathy and rhabdomyolysis risk
VKORC1
Warfarin
Determines optimal warfarin dose
DPYD
Fluorouracil (5-FU), capecitabine
Life-threatening toxicity risk
TPMT
Azathioprine, mercaptopurine
Severe myelosuppression risk
Plus 6 additional pharmacogenes covering anticoagulants, immunosuppressants, and more.
What Your Report Includes
Metabolizer Phenotype
Poor, intermediate, normal, or rapid — for each gene, based on your star alleles
Medication List
50+ medications with your predicted response: normal, use caution, or consider alternatives
Medication Scanner
Search any medication to check for drug-gene interactions in your profile
Clinical Guidelines
Aligned with CPIC (Clinical Pharmacogenetics Implementation Consortium) recommendations
Privacy-First Approach
Unlike clinical pharmacogenomic testing services, GenomeInsight never sees your genetic data. The analysis runs entirely in your browser using JavaScript. Your raw data file is read locally, matched against our bundled variant database, and results are generated without any network calls. You can verify this yourself using your browser's DevTools.