2012
The use of a DNA biobank linked to electronic medical records to characterize pharmacogenomic predictors of tacrolimus dose requirement in kidney transplant recipients
Birdwell K, Grady B, Choi L, Xu H, Bian A, Denny J, Jiang M, Vranic G, Basford M, Cowan J, Richardson D, Robinson M, Ikizler T, Ritchie M, Stein C, Haas D. The use of a DNA biobank linked to electronic medical records to characterize pharmacogenomic predictors of tacrolimus dose requirement in kidney transplant recipients. Pharmacogenetics And Genomics 2012, 22: 32-42. PMID: 22108237, PMCID: PMC3237759, DOI: 10.1097/fpc.0b013e32834e1641.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily B, Member 1Body WeightCytochrome P-450 CYP3ADatabases, Nucleic AcidDose-Response Relationship, DrugDrug MonitoringElectronic Health RecordsFemaleGenetic Association StudiesGenotypeHemoglobinsHumansImmunosuppressive AgentsKidney TransplantationLinkage DisequilibriumMaleMiddle AgedPolymorphism, Single NucleotidePregnane X ReceptorReceptors, SteroidTacrolimusConceptsTacrolimus dose requirementsKidney transplant recipientsDose requirementsElectronic medical recordsBlood concentrationsTransplant recipientsMedical recordsCYP3A5 rs776746Electronic medical record dataInterindividual pharmacokinetic variabilityTacrolimus blood concentrationsNarrow therapeutic indexDNA biobanksMedical record dataTherapeutic drug monitoringDrug-metabolizing enzymesKidney transplantationClinical factorsPrimary outcomeImmunosuppressive drugsPharmacokinetic variabilityTacrolimus clearanceClinical covariatesPharmacogenomic predictorsTherapeutic index
2011
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 samplesInfarctionFacilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin
Xu H, Jiang M, Oetjens M, Bowton E, Ramirez A, Jeff J, Basford M, Pulley J, Cowan J, Wang X, Ritchie M, Masys D, Roden D, Crawford D, Denny J. Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin. Journal Of The American Medical Informatics Association 2011, 18: 387-391. PMID: 21672908, PMCID: PMC3128409, DOI: 10.1136/amiajnl-2011-000208.Peer-Reviewed Original ResearchAlgorithmsAnticoagulantsAryl Hydrocarbon HydroxylasesCytochrome P-450 CYP2C9Data MiningDatabases, Nucleic AcidDrug Dosage CalculationsElectronic Health RecordsGenome-Wide Association StudyHumansLinear ModelsMixed Function OxygenasesNatural Language ProcessingPharmacogeneticsPrecision MedicineUnited StatesVitamin K Epoxide ReductasesWarfarin