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Pharmacogenomics Platform

Genetic influence on drug response: precision medicine through DNA-guided therapy selection and dosing

Pharmacogenes

450+

Drug-Gene Pairs

1,200+

FDA PGx Labels

350+

Clinical Guidelines

80+

Pharmacogenomics: Personalizing Drug Therapy

Pharmacogenomics studies how genetic variations affect drug metabolism, efficacy, and toxicity. By analyzing genes encoding drug-metabolizing enzymes (CYPs), transporters (SLCOs, ABCs), drug targets, and HLA types, we can predict individual drug response and prevent adverse drug reactions that cause 100,000+ deaths annually in the US.

Technology Platforms

  • SNP Genotyping: Targeted pharmacogene variant detection
  • NGS Panels: Comprehensive pharmacogene sequencing
  • Long-read Sequencing: Resolve complex CYP2D6 haplotypes
  • RT-PCR: Rapid point-of-care genotyping

Key Applications

  • Cardiovascular: Clopidogrel, warfarin, statins
  • Oncology: Prevent chemotherapy toxicity (DPYD, TPMT)
  • Psychiatry: Antidepressant selection and dosing
  • Infectious Disease: HLA-B*57:01 abacavir screening

Pharmacogenomics Workflow

1

DNA Collection

Blood, saliva, buccal swab

2

Genotyping

SNP arrays, NGS, PCR

3

Interpretation

Phenotype prediction, drug recommendations

4

Clinical Decision

Drug selection, dose adjustment

Clinical Guidelines

CPIC, DPWG, and FDA-approved dosing guidelines for 80+ drug-gene pairs with actionable recommendations

AI-Powered Interpretation

Machine learning models predict drug response from complex haplotypes and gene-gene interactions

Preemptive Testing

Test once, use forever: pharmacogenomic variants don't change, enabling lifetime clinical utility