| Literature DB >> 26940584 |
S Hussain1, B B Kenigsberg2, K Danahey1,3, Y M Lee4, P M Galecki1, M J Ratain1,4,5, P H O'Donnell1,4,5.
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.Entities:
Mesh:
Year: 2016 PMID: 26940584 PMCID: PMC5570547 DOI: 10.1002/cpt.364
Source DB: PubMed Journal: Clin Pharmacol Ther ISSN: 0009-9236 Impact factor: 6.875