Your DNA already determines how you respond to medications

Pharmacogenomic testing analyzes specific genes that affect how your body processes medications. Variations in these genes can influence whether a drug works well for you, requires a dose adjustment, or may cause adverse effects. DecodeMyBio extracts pharmacogenomic variants from your existing consumer DNA data and maps them to clinical guidelines published by CPIC.

You upload your raw DNA data file from 23andMe, AncestryDNA, MyHeritage, FamilyTreeDNA, or a VCF file from whole-genome sequencing. Our pipeline extracts clinically relevant genetic variants, maps them to star alleles using PharmVar definitions, determines your metabolizer phenotypes, and cross-references the results against CPIC drug-gene interaction guidelines. Your results appear in your dashboard the moment processing finishes, covering genes like CYP2C19, CYP2C9, and VKORC1.

DecodeMyBio supports raw data files from 23andMe, AncestryDNA, MyHeritage, FamilyTreeDNA, and VCF files (.vcf or .vcf.gz) from whole-genome sequencing services like Nebula Genomics, Dante Labs, and clinical genetics labs. Each source uses a different format, but all include the genotype data needed for pharmacogenomic analysis. Note: some repeat-based variants (e.g. UGT1A1 *28) may not be representable in standard VCF files.

No — and that is intentional. DecodeMyBio provides informational pharmacogenomic results, not diagnoses or prescriptions. Our results are designed to support clinical conversations, not replace them. Every finding cites its variant, gene, and source, so your doctor or pharmacist can verify it against the published guideline alongside your medical history, current medications, and clinical judgment. Always consult your healthcare provider before making any medication changes.

Our analysis uses CPIC (Clinical Pharmacogenetics Implementation Consortium) guidelines — the same evidence-based drug–gene guidelines referenced by hospitals and pharmacies for pharmacogenomic prescribing decisions. We include only findings backed by CPIC Level A (strong) or Level B (moderate) evidence, and every result links to its published source. When your file doesn't cover a variant, we say so plainly instead of guessing. However, consumer genotyping arrays test a subset of known variants — some rare alleles may not be detectable, and structural variants (like CYP2D6 gene deletions) cannot be reliably identified from array data. For situations requiring clinical-grade certainty, discuss CLIA-certified pharmacogenomic testing with your healthcare provider.

Your uploaded file and the results derived from it are stored encrypted, at rest and in transit, so your results persist and can be updated over time. We do not sell your genetic data, share it with health insurers or employers, or use it for advertising. You stay in control: delete your genetic data and everything derived from it at any time from your account, and request an export by contacting support. Deletion removes your genetic data across our systems.

Anyone taking or considering medications metabolized by pharmacogenes may benefit. This is particularly relevant if you take medications like clopidogrel, warfarin, SSRIs (antidepressants), statins, codeine, or certain chemotherapy drugs. It can also be useful if you have experienced unexpected side effects or lack of efficacy with a medication.

Your results are written in plain language, and every finding shows the gene, variant, metabolizer phenotype, and the published guideline behind it. Bring the relevant findings to your next appointment — your doctor or pharmacist can verify each one against the same CPIC guidelines they already use for pharmacogenomic prescribing. For decisions that require clinical-grade certainty, ask your provider about confirming the result with a CLIA-certified test.

Consumer pharmacogenomic analysis has several limitations: not all pharmacogenes or alleles are covered, structural variants may be missed, results don't account for phenoconversion (when other drugs alter your metabolism), and allele databases may underrepresent certain populations. Drug response also depends on non-genetic factors like age, organ function, and diet. See our Limitations page for full details.

Different tools answer different questions. Polygenic risk scores estimate statistical probabilities across many conditions using thousands of weakly associated variants. Our medication findings focus on a smaller set of genes with strong, established clinical evidence — the kind hospitals and pharmacies already use to adjust prescriptions. Every gene in our medication analysis has peer-reviewed CPIC guideline support at Level A or B, so the result is something your prescriber can act on. Decode also includes polygenic scores as a separate capability — clearly framed as statistical estimates, never clinical guidance.

Free to start: create an account, upload your DNA file, and see your genome overview — genes analyzed and variants found — at no cost, with no card required. A one-time $59 Decode unlocks every result — medication response, carrier status, nutrition, ancestry & polygenic scores, the AI assistant, and DNA search — and you own it for life. Because your DNA doesn't change, your results stay relevant across future prescriptions, ER visits, and provider changes. An optional Decode+ Monitoring subscription ($8/month or $79/year) adds new-prescription checks and guideline-change alerts. For comparison, clinical pharmacogenomic testing through a hospital typically costs $100–$2,000+. DecodeMyBio uses the same CPIC evidence guidelines at a fraction of the cost, using the DNA data you already have.