title: Disease-drug database for pharmacogenomic-based prescribing.
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.
authors.affiliation: Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA.
authors.forename: S
authors.initials: S
authors.lastname: Hussain
authors.affiliation: Internal Medicine Residency Program, University of Chicago Medical Center, Chicago, Illinois, USA.
authors.forename: B B
authors.initials: BB
authors.lastname: Kenigsberg
authors.affiliation: Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA.|Center for Research Informatics, University of Chicago, Chicago, Illinois, USA.
authors.forename: K
authors.initials: K
authors.lastname: Danahey
authors.affiliation: Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, Illinois, USA.
authors.forename: Y M
authors.initials: YM
authors.lastname: Lee
authors.affiliation: Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA.
authors.forename: P M
authors.initials: PM
authors.lastname: Galecki
authors.affiliation: Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA.|Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, Illinois, USA.|Department of Medicine, University of Chicago, Chicago, Illinois, USA.
authors.forename: M J
authors.initials: MJ
authors.lastname: Ratain
authors.affiliation: Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA.|Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, Illinois, USA.|Department of Medicine, University of Chicago, Chicago, Illinois, USA.
authors.forename: P H
authors.initials: PH
authors.lastname: O'Donnell
mesh_terms: D016208:Databases, Factual / Q000706:statistics & numerical data; D020000:Decision Support Systems, Clinical; D005838:Genotype; D006801:Humans; D010597:Pharmacogenetics / Q000379:methods*; D010818:Practice Patterns, Physicians' / Q000592:standards*; D057285:Precision Medicine / Q000379:methods*; D011446:Prospective Studies; D062606:Tertiary Care Centers; D014481:United States