Disease-drug database for pharmacogenomic-based prescribing

Clin Pharmacol Ther. 2016 Aug;100(2):179-90. doi: 10.1002/cpt.364. Epub 2016 Jun 8.

Abstract

Providers have expressed a strong desire to have additional clinical decision-support tools to help with interpretation of pharmacogenomic results. We developed and tested a novel disease-drug association tool that enables pharmacogenomic-based prescribing to treat common diseases. First, 324 drugs were mapped to 484 distinct diseases (mean number of drugs treating each disease was 4.9; range 1-37). Then the disease-drug association tool was pharmacogenomically annotated, with an average of 1.8 pharmacogenomically annotated drugs associated/disease. Applying this tool to a prospectively enrolled >1,000 patient cohort from a tertiary medical center showed that 90% of the top ∼20 diseases in this population and ≥93% of patients could appropriately be treated with ≥1 medication with actionable pharmacogenomic information. When combined with clinical patient genotypes, this tool permits delivery of patient-specific pharmacogenomically informed disease treatment recommendations to inform the treatment of many medical conditions of the US population, a key initial step towards implementation of precision medicine.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Databases, Factual / statistics & numerical data
  • Decision Support Systems, Clinical*
  • Genotype*
  • Humans
  • Pharmacogenetics / methods*
  • Practice Patterns, Physicians' / standards*
  • Precision Medicine / methods*
  • Prospective Studies
  • Tertiary Care Centers
  • Vereinigte Staaten