Predicting Clopidogrel Response Using DNA Samples Linked to an Electronic Health Record
Delaney J, Ramirez A, Bowton E, Pulley J, Basford M, Schildcrout J, Shi Y, Zink R, Oetjens M, Xu H, Cleator J, Jahangir E, Ritchie M, Masys D, Roden D, Crawford D, Denny J. Predicting Clopidogrel Response Using DNA Samples Linked to an Electronic Health Record. Clinical Pharmacology & Therapeutics 2011, 91: 257-263. PMID: 22190063, PMCID: PMC3621954, DOI: 10.1038/clpt.2011.221.Peer-Reviewed Original ResearchMeSH KeywordsAgedAryl Hydrocarbon HydroxylasesAryldialkylphosphataseATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily B, Member 1ClopidogrelCytochrome P-450 CYP2C19Databases, Nucleic AcidElectronic Health RecordsFemaleGenotypeHumansMaleMyocardial InfarctionPharmacogeneticsPlatelet Aggregation InhibitorsPolymorphism, GeneticStentsThrombosisTiclopidineTreatment OutcomeConceptsPercutaneous coronary interventionElectronic health recordsCardiac eventsMyocardial infarctionRecurrent cardiac eventsRecurrent cardiovascular eventsHealth recordsUse of EHRsClopidogrel therapyCardiovascular eventsClopidogrel treatmentClopidogrel resistanceClopidogrel responseCoronary interventionStent thrombosisReal-world settingCYP2C19ABCB1PON1Pharmacogenomic studiesRecurrent eventsTreatmentDNA repositoryDNA samplesInfarction