2014
Genotype and risk of major bleeding during warfarin treatment
Kawai V, Cunningham A, Vear S, Van Driest S, Oginni A, Xu H, Jiang M, Li C, Denny J, Shaffer C, Bowton E, Gage B, Ray W, Roden D, Stein C. Genotype and risk of major bleeding during warfarin treatment. Pharmacogenomics 2014, 15: 1973-1983. PMID: 25521356, PMCID: PMC4304738, DOI: 10.2217/pgs.14.153.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBiological Specimen BanksCytochrome P-450 CYP2C9Cytochrome P-450 Enzyme SystemCytochrome P450 Family 4Dose-Response Relationship, DrugEthnicityFemaleGene FrequencyGenetic Association StudiesGenetic VariationGenotypeHemorrhageHumansMaleMiddle AgedRisk FactorsVitamin K Epoxide ReductasesWarfarin
2013
Applying active learning to high-throughput phenotyping algorithms for electronic health records data
Chen Y, Carroll R, Hinz E, Shah A, Eyler A, Denny J, Xu H. Applying active learning to high-throughput phenotyping algorithms for electronic health records data. Journal Of The American Medical Informatics Association 2013, 20: e253-e259. PMID: 23851443, PMCID: PMC3861916, DOI: 10.1136/amiajnl-2013-001945.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceElectronic Health RecordsGenetic Association StudiesHumansPhenotypeSupport Vector MachineConceptsActive learningUnrefined featuresSupervised Machine Learning AlgorithmsRefined featuresPhenotyping algorithmElectronic health record dataMachine Learning AlgorithmsHealth record dataVenous thromboembolismRheumatoid arthritisFeature engineeringDomain expertsDomain knowledgePhenotyping tasksLearning algorithmFeature setsLearning approachColorectal cancerAL approachCurve scorePassive learning approachHigh-throughput phenotyping methodsAlgorithmSmall setRecord data
2012
Advances in systems biology: computational algorithms and applications
Huang Y, Zhao Z, Xu H, Shyr Y, Zhang B. Advances in systems biology: computational algorithms and applications. BMC Systems Biology 2012, 6: s1. PMID: 23281622, PMCID: PMC3524016, DOI: 10.1186/1752-0509-6-s3-s1.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAnimalsBiomedical ResearchComputational BiologyGene Regulatory NetworksGenetic Association StudiesGenomicsHumansModels, AnimalSystems BiologyThe 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
The Emerging Role of Electronic Medical Records in Pharmacogenomics
Wilke R, Xu H, Denny J, Roden D, Krauss R, McCarty C, Davis R, Skaar T, Lamba J, Savova G. The Emerging Role of Electronic Medical Records in Pharmacogenomics. Clinical Pharmacology & Therapeutics 2011, 89: 379-386. PMID: 21248726, PMCID: PMC3204342, DOI: 10.1038/clpt.2010.260.Peer-Reviewed Original ResearchMeSH KeywordsDecision Support TechniquesElectronic Health RecordsGenetic Association StudiesGenomicsGenotypeHumansPharmaceutical PreparationsPharmacogeneticsResearch Design