Home Blog Docs Connect
⚠ NOTICE

This page is for educational purposes only. It is not medical advice and not a diagnostic tool. Warfarin dosing is managed by clinicians using INR monitoring and validated algorithms. Never start, stop, or change warfarin or any medication based on this page alone.

Gene · Drug Metabolism

CYP2C9

Cytochrome P450 Family 2 Subfamily C Member 9 · Chromosome 10q23.33 · NCBI Gene ID 1559

CYP2C9 is the enzyme that clears warfarin — the classic example of pharmacogenomics. It also metabolizes phenytoin, several NSAIDs, and some diabetes drugs. People who carry reduced-function alleles break warfarin down slowly, need much lower doses, and face a higher bleeding risk while their dose is found. Together with the drug-target gene VKORC1, CYP2C9 explains a large share of why the right warfarin dose varies so widely from person to person.


The warfarin enzyme.

CYP2C9 is a hepatic cytochrome P450 enzyme that inactivates a set of narrow-therapeutic-window drugs — the kind where a little too much or too little matters. Its headline substrate is S-warfarin, the more potent enantiomer of the anticoagulant warfarin (Coumadin). It also metabolizes phenytoin (an anti-seizure drug), NSAIDs such as celecoxib, ibuprofen, and flurbiprofen, several sulfonylureas used for type 2 diabetes, losartan, and the multiple-sclerosis drug siponimod.

Because these drugs are inactivated by CYP2C9, a reduced-function genotype means the parent drug is cleared slowly and accumulates. For warfarin that translates into a lower dose requirement and a higher early bleeding risk; for phenytoin, a risk of dose-dependent neurotoxicity; for NSAIDs, greater exposure and gastrointestinal risk.

Warfarin is special because two genes act together: CYP2C9 controls how fast you clear the drug, while VKORC1 — the gene encoding warfarin's target enzyme — controls how sensitive you are to it. CPIC dosing algorithms combine CYP2C9 star alleles, the VKORC1 -1639 variant, and sometimes CYP4F2, alongside age and weight, to estimate a starting dose.

Star alleles, not single SNPs.

CYP2C9 is described using star-allele haplotype nomenclature. The most clinically relevant alleles:

*1
reference · normal function
Activity: normal
Wild-type allele. Normal enzyme activity, used as the reference for phenotype scoring.
*2
rs1799853 · R144C
Activity: reduced
An Arg144Cys substitution that lowers warfarin metabolism. Frequency ~12–15% in Europeans, rarer in East Asians. One *2 allele modestly reduces warfarin dose requirement.
*3
rs1057910 · I359L
Activity: strongly reduced
An Ile359Leu substitution with a larger effect than *2 — markedly reduced activity. ~7% in Europeans, ~4% in East Asians. *3 carriers need substantially lower warfarin doses.
*5, *6, *8, *11
African-ancestry alleles
Activity: reduced/none
Reduced- or no-function alleles more common in people of African ancestry. Omitting them is a known source of inaccuracy in warfarin algorithms built mainly on *2 and *3.

Adding the two alleles' activity gives a phenotype:

The textbook pharmacogenomics gene.

CYP2C9 has formal dosing guidelines from the Clinical Pharmacogenetics Implementation Consortium (CPIC) and the Dutch Pharmacogenetics Working Group (DPWG), and the FDA warfarin label includes a pharmacogenomic dosing table. Examples:

"Warfarin is the drug that put pharmacogenomics in the clinic. CYP2C9 affects how fast it is cleared and VKORC1 how sensitive its target is; dosing algorithms combine both with clinical factors such as age and weight, and the dose is then adjusted by INR monitoring."

Primary sources: CPIC — CYP2C9 gene page; Johnson et al., Clin Pharmacol Ther 2017 (CPIC warfarin guideline); Karnes et al., Clin Pharmacol Ther 2021 (CPIC phenytoin guideline); Theken et al., Clin Pharmacol Ther 2020 (CPIC NSAID guideline); Gage et al., JAMA 2017 (GIFT trial); FDA label, warfarin (Jantoven); FDA label, Mayzent (siponimod); PharmGKB CYP2C9; PharmVar CYP2C9.

What consumer arrays do — and don't — tell you about CYP2C9.

CYP2C9 is relatively array-friendly: the two main European alleles are tagged by single, commonly genotyped SNPs, and warfarin's partner variant in VKORC1 is often genotyped too. What you can usually look up:

The limits matter, and they are not symmetric across ancestries: consumer chips frequently miss the *5, *6, *8, and *11 alleles that are important in people of African ancestry, so a "normal" raw-data readout can be falsely reassuring. And a raw file is never a substitute for INR monitoring. For anyone actually on or starting warfarin, dosing is a clinical decision made with lab monitoring and a validated algorithm — your raw data is context, not a prescription.

Ask your AI agent about CYP2C9.

Connect DeepDNA’s MCP server, https://deepdna.ai/mcp (free, no key, no account), and ask: “Use DeepDNA: what do pharmacogenomic guidelines say about CYP2C9 and warfarin?” The agent calls lookup_drug_gene and answers from DeepDNA’s curated record, with its sources. It takes no genotype and gives no diagnosis, metabolizer status or dose.

lookup_drug_gene {"gene": "CYP2C9", "drug": "warfarin"}
Connect it

Or call the REST API: /api/v1/genes/CYP2C9 returns that record as JSON. API docs.