Value of Pharmacogenetic Testing Assessed with Real-World Drug Utilization and Genotype Data

Clin Pharmacol Ther. 2025 Jan;117(1):278-288. doi: 10.1002/cpt.3458. Epub 2024 Oct 4.

Abstract

Implementation of pharmacogenetic testing in clinical care has been slow and with few exceptions is hindered by the lack of real-world evidence on how to best target testing. In this retrospective register-based study, we analyzed a nationwide cohort of 1,425,000 patients discharged from internal medicine or surgical wards and a cohort of 2,178 university hospital patients for purchases and prescriptions of pharmacogenetically actionable drugs. Pharmacogenetic variants were obtained from whole genome genotype data for a subset (n = 930) of the university hospital patients. We investigated factors associated with receiving pharmacogenetically actionable drugs and developed a literature-based cost-benefit model for pre-emptive pharmacogenetic panel testing. In a 2-year follow-up, 60.4% of the patients in the nationwide cohort purchased at least one pharmacogenetically actionable drug, most commonly ibuprofen (25.0%) and codeine (19.4%). Of the genotyped subset, 98.8% carried at least one actionable pharmacogenetic genotype and 23.3% had at least one actionable gene-drug pair. Patients suffering from musculoskeletal or cardiovascular diseases were more prone to receive pharmacogenetically actionable drugs during inpatient episode. The cost-benefit model included frequently dispensed drugs in the university hospital cohort, comprising ondansetron (19.4%), simvastatin (7.4%), clopidogrel (5.0%), warfarin (5.1%), (es)citalopram (5.3%), and azathioprine (0.5%). For untargeted pre-emptive pharmacogenetic testing of all university hospital patients, the model indicated saving €17.49 in direct healthcare system costs per patient in 2 years without accounting for the cost of the test itself. Therefore, it might be reasonable to target pre-emptive pharmacogenetic testing to patient groups most likely to receive pharmacogenetically actionable drugs.

MeSH terms

  • Adult
  • Aged
  • Cohort Studies
  • Cost-Benefit Analysis*
  • Drug Utilization / statistics & numerical data
  • Female
  • Genotype*
  • Hospitals, University
  • Humans
  • Male
  • Middle Aged
  • Pharmacogenetics / economics
  • Pharmacogenetics / methods
  • Pharmacogenomic Testing* / economics
  • Pharmacogenomic Testing* / methods
  • Pharmacogenomic Variants
  • Registries
  • Retrospective Studies