Literature DB >> 24619595

PG4KDS: a model for the clinical implementation of pre-emptive pharmacogenetics.

James M Hoffman, Cyrine E Haidar, Mark R Wilkinson, Kristine R Crews, Donald K Baker, Nancy M Kornegay, Wenjian Yang, Ching-Hon Pui, Ulrike M Reiss, Aditya H Gaur, Scott C Howard, William E Evans, Ulrich Broeckel, Mary V Relling.   

Abstract

Pharmacogenetics is frequently cited as an area for initial focus of the clinical implementation of genomics. Through the PG4KDS protocol, St. Jude Children's Research Hospital pre-emptively genotypes patients for 230 genes using the Affymetrix Drug Metabolizing Enzymes and Transporters (DMET) Plus array supplemented with a CYP2D6 copy number assay. The PG4KDS protocol provides a rational, stepwise process for implementing gene/drug pairs, organizing data, and obtaining consent from patients and families. Through August 2013, 1,559 patients have been enrolled, and four gene tests have been released into the electronic health record (EHR) for clinical implementation: TPMT, CYP2D6, SLCO1B1, and CYP2C19. These genes are coupled to 12 high-risk drugs. Of the 1,016 patients with genotype test results available, 78% of them had at least one high-risk (i.e., actionable) genotype result placed in their EHR. Each diplotype result released to the EHR is coupled with an interpretive consult that is created in a concise, standardized format. To support-gene based prescribing at the point of care, 55 interruptive clinical decision support (CDS) alerts were developed. Patients are informed of their genotyping result and its relevance to their medication use through a letter. Key elements necessary for our successful implementation have included strong institutional support, a knowledgeable clinical laboratory, a process to manage any incidental findings, a strategy to educate clinicians and patients, a process to return results, and extensive use of informatics, especially CDS. Our approach to pre-emptive clinical pharmacogenetics has proven feasible, clinically useful, and scalable.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  clinical decision support; electronic health record; personalized medicine; pharmacogenetics; pharmacogenomics

Mesh:

Substances:

Year:  2014        PMID: 24619595      PMCID: PMC4056586          DOI: 10.1002/ajmg.c.31391

Source DB:  PubMed          Journal:  Am J Med Genet C Semin Med Genet        ISSN: 1552-4868            Impact factor:   3.908


  30 in total

Review 1.  Pharmacogenomics: translating functional genomics into rational therapeutics.

Authors:  W E Evans; M V Relling
Journal:  Science       Date:  1999-10-15       Impact factor: 47.728

2.  Pharmacogenomics--drug disposition, drug targets, and side effects.

Authors:  William E Evans; Howard L McLeod
Journal:  N Engl J Med       Date:  2003-02-06       Impact factor: 91.245

3.  Thiopurine methyltransferase in acute lymphoblastic leukemia.

Authors:  Mary V Relling; Ching-Hon Pui; Cheng Cheng; William E Evans
Journal:  Blood       Date:  2006-01-15       Impact factor: 22.113

4.  Development and implementation of a pharmacist-managed clinical pharmacogenetics service.

Authors:  Kristine R Crews; Shane J Cross; John N McCormick; Donald K Baker; Alejandro R Molinelli; Richard Mullins; Mary V Relling; James M Hoffman
Journal:  Am J Health Syst Pharm       Date:  2011-01-15       Impact factor: 2.637

Review 5.  Clinical pharmacology and pharmacogenetics in a genomics era: the DMET platform.

Authors:  Tristan M Sissung; Bevin C English; David Venzon; William D Figg; John F Deeken
Journal:  Pharmacogenomics       Date:  2010-01       Impact factor: 2.533

Review 6.  Acute lymphoblastic leukaemia: a model for the pharmacogenomics of cancer therapy.

Authors:  Meyling H Cheok; William E Evans
Journal:  Nat Rev Cancer       Date:  2006-02       Impact factor: 60.716

Review 7.  Managing incidental findings in human subjects research: analysis and recommendations.

Authors:  Susan M Wolf; Frances P Lawrenz; Charles A Nelson; Jeffrey P Kahn; Mildred K Cho; Ellen Wright Clayton; Joel G Fletcher; Michael K Georgieff; Dale Hammerschmidt; Kathy Hudson; Judy Illes; Vivek Kapur; Moira A Keane; Barbara A Koenig; Bonnie S Leroy; Elizabeth G McFarland; Jordan Paradise; Lisa S Parker; Sharon F Terry; Brian Van Ness; Benjamin S Wilfond
Journal:  J Law Med Ethics       Date:  2008       Impact factor: 1.718

8.  Incidental findings in genetics research using archived DNA.

Authors:  Ellen Wright Clayton
Journal:  J Law Med Ethics       Date:  2008       Impact factor: 1.718

9.  A formal risk-benefit framework for genomic tests: facilitating the appropriate translation of genomics into clinical practice.

Authors:  David L Veenstra; Joshua A Roth; Louis P Garrison; Scott D Ramsey; Wylie Burke
Journal:  Genet Med       Date:  2010-11       Impact factor: 8.822

10.  Development and use of active clinical decision support for preemptive pharmacogenomics.

Authors:  Gillian C Bell; Kristine R Crews; Mark R Wilkinson; Cyrine E Haidar; J Kevin Hicks; Donald K Baker; Nancy M Kornegay; Wenjian Yang; Shane J Cross; Scott C Howard; Robert R Freimuth; William E Evans; Ulrich Broeckel; Mary V Relling; James M Hoffman
Journal:  J Am Med Inform Assoc       Date:  2013-08-26       Impact factor: 4.497

View more
  102 in total

1.  Value of Genetics-informed Drug Dosing Guidance in Pregnant Women: A Needs Assessment with Obstetric Healthcare Providers at Johns Hopkins.

Authors:  Casey L Overby; Phillip Thompkins; Harold Lehmann; Christopher G Chute; Jeanne S Sheffield
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

2.  Role of Preemptive Genotyping in Preventing Serious Adverse Drug Events in South Korean Patients.

Authors:  Grace Juyun Kim; Soo Youn Lee; Ji Hye Park; Brian Y Ryu; Ju Han Kim
Journal:  Drug Saf       Date:  2017-01       Impact factor: 5.606

3.  Evidence for Clinical Implementation of Pharmacogenomics in Cardiac Drugs.

Authors:  Amy L Kaufman; Jared Spitz; Michael Jacobs; Matthew Sorrentino; Shennin Yuen; Keith Danahey; Donald Saner; Teri E Klein; Russ B Altman; Mark J Ratain; Peter H O'Donnell
Journal:  Mayo Clin Proc       Date:  2015-06       Impact factor: 7.616

Review 4.  Genomic and pharmacogenetic studies of childhood acute lymphoblastic leukemia.

Authors:  Ching-Hon Pui
Journal:  Front Med       Date:  2014-12-15       Impact factor: 4.592

5.  CSER and eMERGE: current and potential state of the display of genetic information in the electronic health record.

Authors:  Brian H Shirts; Joseph S Salama; Samuel J Aronson; Wendy K Chung; Stacy W Gray; Lucia A Hindorff; Gail P Jarvik; Sharon E Plon; Elena M Stoffel; Peter Z Tarczy-Hornoch; Eliezer M Van Allen; Karen E Weck; Christopher G Chute; Robert R Freimuth; Robert W Grundmeier; Andrea L Hartzler; Rongling Li; Peggy L Peissig; Josh F Peterson; Luke V Rasmussen; Justin B Starren; Marc S Williams; Casey L Overby
Journal:  J Am Med Inform Assoc       Date:  2015-07-03       Impact factor: 4.497

6.  A pilot study of the implementation of pharmacogenomic pharmacist initiated pre-emptive testing in primary care.

Authors:  Paul C D Bank; Jesse J Swen; Rowena D Schaap; Daniëlle B Klootwijk; Renée Baak-Pablo; Henk-Jan Guchelaar
Journal:  Eur J Hum Genet       Date:  2019-06-21       Impact factor: 4.246

7.  Role of genetics in the prediction of statin-associated muscle symptoms and optimization of statin use and adherence.

Authors:  Liam R Brunham; Steven Baker; Andrew Mammen; G B John Mancini; Robert S Rosenson
Journal:  Cardiovasc Res       Date:  2018-07-01       Impact factor: 10.787

Review 8.  Standardization can accelerate the adoption of pharmacogenomics: current status and the path forward.

Authors:  Kelly E Caudle; Nicholas J Keeling; Teri E Klein; Michelle Whirl-Carrillo; Victoria M Pratt; James M Hoffman
Journal:  Pharmacogenomics       Date:  2018-06-19       Impact factor: 2.533

Review 9.  Combining genetic and nongenetic biomarkers to realize the promise of pharmacogenomics for inflammatory diseases.

Authors:  Joseph C Maranville; Anna Di Rienzo
Journal:  Pharmacogenomics       Date:  2014       Impact factor: 2.533

10.  Using Workflow Modeling to Identify Areas to Improve Genetic Test Processes in the University of Maryland Translational Pharmacogenomics Project.

Authors:  Elizabeth M Cutting; Casey L Overby; Meghan Banchero; Toni Pollin; Mark Kelemen; Alan R Shuldiner; Amber L Beitelshees
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.