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Pharmacogenomics explained: how genes affect medication response

What pharmacogenomics is, why it's one of the most clinically established uses of DNA testing, and how DNA Layer's clinical-grade safety floor uses CPIC and PharmGKB data.

Last reviewed 18 August 2026

What pharmacogenomics is

Pharmacogenomics is the study of how genetic variation affects a person’s response to medications — how quickly a drug is metabolised, how effective it is, and how likely it is to cause side effects. Over 90% of people carry a variant that changes how they respond to a commonly prescribed medicine.

Why this is more established than most genetics-and-health topics

Unlike many areas of consumer genetics, pharmacogenomics has direct clinical infrastructure behind it. CPIC (the Clinical Pharmacogenetics Implementation Consortium) publishes hospital-grade prescribing and dosing guidelines — currently spanning 59 genes and 420 guidelines — and PharmGKB catalogues evidence-graded drug-gene interactions across roughly 70 well-studied genetic positions and 466 drug pairs. These aren’t consumer-wellness resources; they are built for and used by clinicians and pharmacists.

How DNA Layer uses this data

CPIC and PharmGKB are part of DNA Layer’s always-on clinical-grade safety floor, alongside ClinVar, ClinGen Actionability, and FDA pharmacogenomic labels. This floor is checked for every report regardless of which optional sources a given report enables, can only raise a finding’s flagged severity (never lower it), and never invents a finding — so a real prescribing-relevant result is never understated. See how DNA Layer builds your report for the full methodology.

What this isn’t

A pharmacogenomic finding is not a prescription and not a substitute for your doctor’s or pharmacist’s guidance — it’s information you can bring to that conversation. Never change or stop a medication based on a genetic report without talking to a qualified healthcare professional first.

Frequently asked questions

How are my results generated?

Variant matching runs in deterministic software against a curated evidence layer, so the same file always produces the same findings. Language models only explain findings that have already been verified, never the raw file.

What happens to my genetic data?

Your file is read locally in your browser. We keep the minimum needed to show your layer, we never sell genetic data, and you can delete everything from your vault whenever you want.

See your own pharmacogenomic findings

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