Predicting warfarin dosage in European-Americans and African-Americans using DNA samples linked to an electronic health record.
about
Validating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortalityRole of genomics in eliminating health disparitiesCardiovascular pharmacogenomics: current status and future directionsEffect of genetic variants, especially CYP2C9 and VKORC1, on the pharmacology of warfarinExtracting research-quality phenotypes from electronic health records to support precision medicineSize matters: how population size influences genotype-phenotype association studies in anonymized dataBiobanks and electronic medical records: enabling cost-effective researchSecondary use of clinical data: the Vanderbilt approachUsing linked data for mining drug-drug interactions in electronic health recordsIntegrating EMR-linked and in vivo functional genetic data to identify new genotype-phenotype associationsSTRATEGIES FOR EQUITABLE PHARMACOGENOMIC-GUIDED WARFARIN DOSING AMONG EUROPEAN AND AFRICAN AMERICAN INDIVIDUALS IN A CLINICAL POPULATIONEthnicity-specific pharmacogenetics: the case of warfarin in African AmericansModels of interinstitutional partnerships between research intensive universities and minority serving institutions (MSI) across the Clinical Translational Science Award (CTSA) consortium.Phenome-Wide Association Studies as a Tool to Advance Precision Medicine.A pharmacogenetics-based warfarin maintenance dosing algorithm from Northern Chinese patients.Genetic variant in folate homeostasis is associated with lower warfarin dose in African Americans.Enabling genomic-phenomic association discovery without sacrificing anonymity.Poor warfarin dose prediction with pharmacogenetic algorithms that exclude genotypes important for African Americans.Genotype and risk of major bleeding during warfarin treatment.Extracting Primary Open-Angle Glaucoma from Electronic Medical Records for Genetic Association StudiesRace influences warfarin dose changes associated with genetic factors.The success of pharmacogenomics in moving genetic association studies from bench to bedside: study design and implementation of precision medicine in the post-GWAS era.Desiderata for computable representations of electronic health records-driven phenotype algorithms.Development of phenotype algorithms using electronic medical records and incorporating natural language processing.Cardiovascular pharmacogenomics: the future of cardiovascular therapeutics?Integrating electronic health record genotype and phenotype datasets to transform patient carePharmacogenomics of warfarin in populations of African descent.Effect of NQO1 and CYP4F2 genotypes on warfarin dose requirements in Hispanic-Americans and African-Americans.Scientific challenges and implementation barriers to translation of pharmacogenomics in clinical practice.Does CALU SNP rs1043550 contribute variability to therapeutic warfarin dosing requirements?Comparative evaluation of warfarin utilisation in two primary healthcare clinics in the Cape Town areaGenetic variants associated with warfarin dose in African-American individuals: a genome-wide association study.Electronic medical records as a tool in clinical pharmacology: opportunities and challenges.Opportunities for genomic clinical decision support interventions.Electronic health record design and implementation for pharmacogenomics: a local perspective.Racial susceptibility for QT prolongation in acute drug overdoses.Clinically actionable genotypes among 10,000 patients with preemptive pharmacogenomic testingGenetic determinants of response to cardiovascular drugs.Warfarin Pharmacogenomics in Diverse Populations.Novel regulatory variant detected on the VKORC1 haplotype that is associated with warfarin dose.
P2860
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P2860
Predicting warfarin dosage in European-Americans and African-Americans using DNA samples linked to an electronic health record.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Predicting warfarin dosage in ...... o an electronic health record.
@ast
Predicting warfarin dosage in ...... o an electronic health record.
@en
type
label
Predicting warfarin dosage in ...... o an electronic health record.
@ast
Predicting warfarin dosage in ...... o an electronic health record.
@en
prefLabel
Predicting warfarin dosage in ...... o an electronic health record.
@ast
Predicting warfarin dosage in ...... o an electronic health record.
@en
P2093
P2860
P356
P1433
P1476
Predicting warfarin dosage in ...... o an electronic health record.
@en
P2093
Andrea H Ramirez
Dan M Roden
Daniel R Masys
Erica Bowton
James Cowan
Jessica T Delaney
Jill M Pulley
Jonathan S Schildcrout
Joshua C Denny
P2860
P304
P356
10.2217/PGS.11.164
P577
2012-02-13T00:00:00Z