Preemptive genotyping for personalized medicine: design of the right drug, right dose, right time-using genomic data to individualize treatment protocol - Wikidata - awgldk - TriplyDB

Preemptive genotyping for personalized medicine: design of the right drug, right dose, right time-using genomic data to individualize treatment protocol

Preemptive genotyping for personalized medicine: design of the right drug, right dose, right time-using genomic data to individualize treatment protocol

http://www.wikidata.org/entity/Q30572528

about

Population Genomics and the Statistical Values of Race: An Interdisciplinary Perspective on the Biological Classification of Human Populations and Implications for Clinical Genetic Epidemiological Research Pharmacogenomics in the clinic Cardiovascular pharmacogenomics: current status and future directions Biobanks and personalized medicine Privacy in the Genomic Era Electronic Medical Record-Integrated Pharmacogenomics and Related Clinical Decision Support Concepts.Genomic data in the electronic medical record: perspectives from a biobank community advisory board.Genetic variation among 82 pharmacogenes: The PGRNseq data from the eMERGE network Merging Electronic Health Record Data and Genomics for Cardiovascular Research: A Science Advisory From the American Heart Association.Characterizing Pharmacogenomic-Guided Medication Use With a Clinical Data Repository.Health Orientation, Knowledge, and Attitudes toward Genetic Testing and Personalized Genomic Services: Preliminary Data from an Italian Sample.An inter-professional approach to personalized medicine education: one institution's experience Participant-perceived understanding and perspectives on pharmacogenomics: the Mayo Clinic RIGHT protocol (Right Drug, Right Dose, Right Time)Metformin pharmacogenomics: biomarkers to mechanisms.Design and anticipated outcomes of the eMERGE-PGx project: a multicenter pilot for preemptive pharmacogenomics in electronic health record systems.Emerging roles for pharmacists in clinical implementation of pharmacogenomics Evidence for Clinical Implementation of Pharmacogenomics in Cardiac Drugs.Pragmatic and Ethical Challenges of Incorporating the Genome into the Electronic Medical Record.Asparaginase Potentiates Glucocorticoid-Induced Osteonecrosis in a Mouse Model Actionable clinical decisions based on comprehensive genomic evaluation in asymptomatic adults.Preemptive clinical pharmacogenetics implementation: current programs in five US medical centers National survey and community advisory board development for a bipolar disorder biobank.Making pharmacogenomic-based prescribing alerts more effective: A scenario-based pilot study with physicians.Physician perspectives of CYP2C19 and clopidogrel drug-gene interaction active clinical decision support alerts.Attitudes of clinicians following large-scale pharmacogenomics implementation.Creating Shareable Clinical Decision Support Rules for a Pharmacogenomics Clinical Guideline Using Structured Knowledge Representation.The Outlier in All of Us: Why Implementing Pharmacogenomics Could Matter for Everyone.Preemptive Pharmacogenomic Testing for Precision Medicine: A Comprehensive Analysis of Five Actionable Pharmacogenomic Genes Using Next-Generation DNA Sequencing and a Customized CYP2D6 Genotyping Cascade.Other side of the coin for personalised medicine and healthcare: content analysis of 'personalised' practices in the literature Development of clinical decision support alerts for pharmacogenomic incidental findings from exome sequencing CSER and eMERGE: current and potential state of the display of genetic information in the electronic health record.Implementing Pharmacogenomics at Your Institution: Establishment and Overcoming Implementation Challenges.Are patients willing to incur out-of-pocket costs for pharmacogenomic testing?Increased risk of hospitalization for ultrarapid metabolizers of cytochrome P450 2D6 Evidence for extensive pleiotropy among pharmacogenes.Multidisciplinary model to implement pharmacogenomics at the point of care.Commonly used diabetes and cardiovascular medications and cancer recurrence and cancer-specific mortality: a review of the literature.Systems biology approaches to adverse drug effects: the example of cardio-oncology.Empowering Mayo Clinic Individualized Medicine with Genomic Data Warehousing Using Workflow Modeling to Identify Areas to Improve Genetic Test Processes in the University of Maryland Translational Pharmacogenomics Project

P2860

Q26765823-3D10077F-2294-4E84-8795-063043D18676 Q26782786-6C63DFA2-02CA-47CC-87B7-0FAA6FD3DEAE Q26801183-9BDB6DAB-23BA-40CA-9C4A-84F2175953CF Q26866132-F1279D8B-7563-467F-8F23-5538CBAF68DA Q27316478-EFDF80D9-A39D-47AD-A43A-D748C9721937 Q30234897-41B2DD62-FD32-4A0F-A852-CC491353F3BB Q30906010-68E072DF-DC00-482C-928C-C62DAB57ECFA Q31043647-AA75A07E-FF0F-4F71-A053-7BEB5BB6EE3E Q31058146-DC27525F-1B83-4070-B226-258FF91E2B2D Q31153959-DB29422B-02FC-4447-AA54-6C43612B6476 Q31155511-2564528D-E7B2-489F-8D93-011F68F7B044 Q33565033-5552F0FA-21CD-41FD-B730-F4D10E87EB5E Q33874771-D4EDEE4C-E898-4A99-BDED-17B1B654FEC7 Q33959783-EEADA07C-92DA-451E-B162-65DCC15339E1 Q34216807-AF8A56C3-EE66-444A-A4A0-1626A33E777F Q34302434-933234FC-3133-4CA6-9BE7-C87092CD6EFB Q35762508-E5D61DA5-13B7-4A8F-8851-74F3F3285FD1 Q35809920-4F60A5CC-B02A-4CA2-B129-FD667B1A0049 Q35954058-73A91649-71EE-4130-9337-FFB40FAB02C9 Q36098646-C1C24F44-02A9-4BDF-9EBC-3D991E22BDC7 Q36166107-E36A9B50-AFB5-443A-839F-4E45F2094E40 Q36275964-359A191B-051C-4129-93B7-708DAB2BF330 Q36438790-43D3BF6D-31DB-474F-A254-C871D7CEFA89 Q36440277-6309CB0B-5E20-4029-9EC4-F4AEFE13820B Q36573086-03F350F0-008E-4FFC-A759-D474B3AC2D7C Q36613405-A4326275-0EE5-4CAD-8B47-634460D62B3A Q36794572-1D55E85A-89AA-4391-9AB4-9FC3695B7D76 Q36853552-58A0E315-9359-4109-BAB2-95DC6D4D715A Q37100793-368D62C4-BA85-4A15-B20B-7D8650D7A653 Q37156736-51622E33-74E7-470F-A4C8-8F990385658D Q37229202-822FCF20-A403-421B-967A-E3621869CB2F Q37433329-760D8B25-0DE7-48B8-901F-91DFD726308C Q37643815-DCC02A0A-2504-4136-8595-7DF1D7C6E022 Q37653051-CD1F135D-6206-4E94-99B9-71F432EE7DFB Q37703583-8F579569-FD65-4D47-A9C2-CF75C2CA9BE2 Q37716307-77425756-9A94-434D-AE94-A387CE33158D Q38226775-9921ACD5-84DB-4D4A-B94E-E8812051778D Q38606067-F0D2B78E-27C4-4DCB-9529-A70DE1B0764F Q38614381-AA337D21-39D6-4ED1-8808-DF57C75B2D28 Q38615227-855A80E6-74EB-4E0A-AACF-E825840C3F8A

P2860

Preemptive genotyping for personalized medicine: design of the right drug, right dose, right time-using genomic data to individualize treatment protocol

http://www.wikidata.org/entity/Q30572528

description

2014 nî lūn-bûn

@nan

2014 թուականի Յունուարին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի հունվարին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

Preemptive genotyping for pers ...... dividualize treatment protocol

@ast

Preemptive genotyping for pers ...... dividualize treatment protocol

@en

type

label

Preemptive genotyping for pers ...... dividualize treatment protocol

@ast

Preemptive genotyping for pers ...... dividualize treatment protocol

@en

prefLabel

Preemptive genotyping for pers ...... dividualize treatment protocol

@ast

Preemptive genotyping for pers ...... dividualize treatment protocol

@en

P1433

Q30572528-27EF3E5D-AC88-4384-9FAA-0011849466A8

P1476

Q30572528-601310E6-E9D3-4840-A8D7-71CCB3F13B86

P2093

Q30572528-0741C640-CD2C-4587-B18D-405165C063E4

Q30572528-083785E9-3B8C-4FD1-95B0-A1CBCB4BED50

Q30572528-0D423392-0C3F-4A0A-818D-E01390627322

Q30572528-33186E4E-1712-4B3D-BD24-3A6937DECC98

Q30572528-3CF7C5BE-BA9A-49BB-85D3-DE99FF4DFDB3

Q30572528-409504C4-DC57-43BA-8B63-0F9FEF29001B

Q30572528-4161B852-5225-47D4-ABC6-8022587161A2

Q30572528-4279FC71-D226-4139-8F22-BCF174F5E719

Q30572528-4E43F634-6F10-41F1-893E-5EF3F3FAD461

Q30572528-5759B009-AD77-41B2-B38C-6C9D750F5DB4

P2860

Q30572528-08F3593B-3CCF-43C2-A05F-9C4FB8237A43

Q30572528-278F29F2-8DC9-4BC7-8901-1085389E5AFC

Q30572528-33F2B7D2-FC8D-4BF6-8547-B310D0615447

Q30572528-3D47AE56-5DF3-4A91-99B9-E39E4539A7A5

Q30572528-42A7FFDC-0BF4-4C31-9B6D-426D847D7B8E

Q30572528-57A307F7-5773-4A4E-B93F-906E063DEC0E

Q30572528-5F0DB637-7614-490E-8027-BC9E3F772197

Q30572528-9C035E41-09F1-4D45-A9C5-D123319069F0

Q30572528-9EC995AE-B58C-411E-B946-7A1A1BE7343D

Q30572528-A0795509-FB1F-435D-966F-492EA626BD98

P304

Q30572528-963FFE9D-824B-49C1-BDA8-4C3CB5E08264

P31

Q30572528-F65FA91C-F680-4353-9BA0-7E7F1123EA19

P356

Q30572528-F16BB867-D233-4A63-9E46-8696FB272324

P407

Q30572528-5F406003-7502-44D8-9A64-F45129BDDCFB

P433

Q30572528-1BA32B88-3FE6-44CF-BD5C-D232F07E0C7C

P478

Q30572528-35ED4BA3-3E6D-4E94-B9DD-11E48B7B2B5F

P50

Q30572528-49AD8114-0B29-49A9-BE6A-5C923474087F

Q30572528-5E0F7EE3-EF65-47BE-AF31-40902174CDFE

Q30572528-6002800A-1069-4F9B-8F38-03A8C96E6621

Q30572528-AB75E852-C75E-4FD4-A584-8F14083CF7F6

P577

Q30572528-12FD9C32-5A22-4EA6-B734-79A73353BA5F

P5875

Q30572528-30EACF7E-C3D1-4E04-945F-4748266DFE1B

P698

Q30572528-CCE5C848-C37F-4834-973D-CF7C84FCC34F

P932

Q30572528-FE4881B1-EF67-47D7-80E5-2EE40D4966B7

P356

J.MAYOCP.2013.10.021

P1433

Mayo Clinic Proceedings

P1476

Preemptive genotyping for pers ...... dividualize treatment protocol

@en

P2093

Carolyn R Rohrer Vitek

http://www.w3.org/2001/XMLSchema#string

Christopher G Chute

http://www.w3.org/2001/XMLSchema#string

Cloann G Schultz

http://www.w3.org/2001/XMLSchema#string

Eric D Wieben

http://www.w3.org/2001/XMLSchema#string

Eric W Klee

http://www.w3.org/2001/XMLSchema#string

Euijung Ryu

http://www.w3.org/2001/XMLSchema#string

Gianrico Farrugia

http://www.w3.org/2001/XMLSchema#string

Iftikhar J Kullo

http://www.w3.org/2001/XMLSchema#string

Jamie K Bruflat

http://www.w3.org/2001/XMLSchema#string

Jason L Ross

http://www.w3.org/2001/XMLSchema#string

P2860

CPIC: Clinical Pharmacogenetics Implementation Consortium of the Pharmacogenomics Research Network

PharmGKB: a logical home for knowledge relating genotype to drug response phenotype

Inheritance and drug response.

The clinical pharmacogenomics implementation consortium: CPIC guideline for SLCO1B1 and simvastatin-induced myopathy.

History of the Rochester Epidemiology Project: half a century of medical records linkage in a US population.

The Mayo Clinic Biobank: a building block for individualized medicine

Genomics and drug response.

Pharmacogenomics: bench to bedside.

Primary care physicians' knowledge of and experience with pharmacogenetic testing

Pharmacogenetics and pharmacogenomics: development, science, and translation.

P304

25-33

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1016/J.MAYOCP.2013.10.021

http://www.w3.org/2001/XMLSchema#string

P407

P433

1

http://www.w3.org/2001/XMLSchema#string

P478

89

http://www.w3.org/2001/XMLSchema#string

P50

Jyotishman Pathak

Richard Weinshilboum

Paul Y. Takahashi

P577

2014-01-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

259585944

http://www.w3.org/2001/XMLSchema#string

P698

24388019

http://www.w3.org/2001/XMLSchema#string

P932

3932754

http://www.w3.org/2001/XMLSchema#string