"I want to know about a specific drug"
Search for the drug. You'll see all PGx-relevant genes for it, dose recommendations from CPIC, regulatory label info from FDA / EMA / others, and the strongest clinical evidence.
Try with warfarinThe science of how your genes affect your response to medications — and how Drugly.AI puts 25+ years of research at your fingertips.
Two people take the exact same dose of codeine for the exact same headache. One feels relief in 30 minutes. The other feels nothing. A third has dangerously slow breathing within an hour.
Why? Their genes are different. Specifically, the gene CYP2D6 that converts codeine into morphine in the body. Some people have variants that make this gene hyperactive (rapid metabolizers). Others have variants that make it inactive (poor metabolizers).
Pharmacogenomics is the science that turns this insight into actionable medicine.
have at least one variant that affects how they respond to a common medication.
are estimated to be preventable with pharmacogenomic testing.
have pharmacogenomic information on their official labels (and that number keeps growing).
Drugly.AI organizes pharmacogenomic data into five interlinked entity types. From any one, you can navigate to the others.
Medications with known pharmacogenomic considerations. You'll see CPIC dosing recommendations, FDA/EMA label info, clinical evidence, and which genes affect each drug.
Human genes whose variations affect drug response. VIP (Very Important Pharmacogene) genes have the strongest evidence. Each gene page shows all drugs it affects.
Specific genetic differences (SNPs, haplotypes, star alleles). Each variant page lists studies that found drug-response effects, with PubMed links.
Diseases, side effects, and outcomes that pharmacogenomics affects: drug efficacy, toxicity, hypersensitivity reactions. Linked to drugs and genes.
Visual diagrams from PharmGKB showing how drugs move through and act on the body, gene by gene, step by step.
Whatever you start with — a drug, a gene, a variant — you'll find what you need.
Search for the drug. You'll see all PGx-relevant genes for it, dose recommendations from CPIC, regulatory label info from FDA / EMA / others, and the strongest clinical evidence.
Try with warfarinSearch for the gene symbol. You'll see all drugs it affects, the variants in that gene with the most evidence, and clinically actionable summary annotations.
Try with CYP2D6Search by rsID. You'll see the PMID-linked studies that found drug-response effects, the drugs affected, and any clinical haplotype pairings.
Try with rs1799853Start with a single search — a drug name, a gene symbol, a variant rsID — and let the connections guide you.
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