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American Journal of Medical Genetics Part C-seminars in Medical Genetics | 2014

Clinical pharmacogenetics implementation: Approaches, successes, and challenges

Kristin Weitzel; Amanda R. Elsey; Taimour Y. Langaee; Benjamin Burkley; David R. Nessl; Aniwaa Owusu Obeng; Benjamin Staley; Hui-Jia Dong; Robert W. Allan; J. Felix Liu; Rhonda M. Cooper-DeHoff; R. David Anderson; Michael Conlon; Michael Clare-Salzler; David R. Nelson; Julie A. Johnson

Current challenges exist to widespread clinical implementation of genomic medicine and pharmacogenetics. The University of Florida (UF) Health Personalized Medicine Program (PMP) is a pharmacist‐led, multidisciplinary initiative created in 2011 within the UF Clinical Translational Science Institute. Initial efforts focused on pharmacogenetics, with long‐term goals to include expansion to disease‐risk prediction and disease stratification. Herein we describe the processes for development of the program, the challenges that were encountered and the clinical acceptance by clinicians of the genomic medicine implementation. The initial clinical implementation of the UF PMP began in June 2012 and targeted clopidogrel use and the CYP2C19 genotype in patients undergoing left heart catheterization and percutaneous‐coronary intervention (PCI). After 1 year, 1,097 patients undergoing left heart catheterization were genotyped preemptively, and 291 of those underwent subsequent PCI. Genotype results were reported to the medical record for 100% of genotyped patients. Eighty patients who underwent PCI had an actionable genotype, with drug therapy changes implemented in 56 individuals. Average turnaround time from blood draw to genotype result entry in the medical record was 3.5 business days. Seven different third party payors, including Medicare, reimbursed for the test during the first month of billing, with an 85% reimbursement rate for outpatient claims that were submitted in the first month. These data highlight multiple levels of success in clinical implementation of genomic medicine.


BMC Medical Genomics | 2015

The IGNITE network: a model for genomic medicine implementation and research

Kristin Weitzel; Madeline Alexander; Barbara A. Bernhardt; Neil S. Calman; David J. Carey; Larisa H. Cavallari; Julie R. Field; Diane Hauser; Heather A. Junkins; Phillip A. Levin; Kenneth D. Levy; Ebony Madden; Teri A. Manolio; Jacqueline Odgis; Lori A. Orlando; Reed E. Pyeritz; R. Ryanne Wu; Alan R. Shuldiner; Erwin P. Bottinger; Joshua C. Denny; Paul R. Dexter; David A. Flockhart; Carol R. Horowitz; Julie A. Johnson; Stephen E. Kimmel; Mia A. Levy; Toni I. Pollin; Geoffrey S. Ginsburg

BackgroundPatients, clinicians, researchers and payers are seeking to understand the value of using genomic information (as reflected by genotyping, sequencing, family history or other data) to inform clinical decision-making. However, challenges exist to widespread clinical implementation of genomic medicine, a prerequisite for developing evidence of its real-world utility.MethodsTo address these challenges, the National Institutes of Health-funded IGNITE (Implementing GeNomics In pracTicE; www.ignite-genomics.org) Network, comprised of six projects and a coordinating center, was established in 2013 to support the development, investigation and dissemination of genomic medicine practice models that seamlessly integrate genomic data into the electronic health record and that deploy tools for point of care decision making. IGNITE site projects are aligned in their purpose of testing these models, but individual projects vary in scope and design, including exploring genetic markers for disease risk prediction and prevention, developing tools for using family history data, incorporating pharmacogenomic data into clinical care, refining disease diagnosis using sequence-based mutation discovery, and creating novel educational approaches.ResultsThis paper describes the IGNITE Network and member projects, including network structure, collaborative initiatives, clinical decision support strategies, methods for return of genomic test results, and educational initiatives for patients and providers. Clinical and outcomes data from individual sites and network-wide projects are anticipated to begin being published over the next few years.ConclusionsThe IGNITE Network is an innovative series of projects and pilot demonstrations aiming to enhance translation of validated actionable genomic information into clinical settings and develop and use measures of outcome in response to genome-based clinical interventions using a pragmatic framework to provide early data and proofs of concept on the utility of these interventions. Through these efforts and collaboration with other stakeholders, IGNITE is poised to have a significant impact on the acceleration of genomic information into medical practice.


Pharmacotherapy | 2014

Emerging roles for pharmacists in clinical implementation of pharmacogenomics.

Aniwaa Owusu-Obeng; Kristin Weitzel; Randy C. Hatton; Benjamin Staley; Jennifer Ashton; Rhonda M. Cooper-DeHoff; Julie A. Johnson

Pharmacists are uniquely qualified to play essential roles in the clinical implementation of pharmacogenomics. However, specific responsibilities and resources needed for these roles have not been defined. We describe roles for pharmacists that emerged in the clinical implementation of genotype‐guided clopidogrel therapy in the University of Florida Health Personalized Medicine Program, summarize preliminary program results, and discuss education, training, and resources needed to support such programs. Planning for University of Florida Health Personalized Medicine Program began in summer 2011 under leadership of a pharmacist, with clinical launch in June 2012 of a clopidogrel‐CYP2C19 pilot project aimed at tailoring antiplatelet therapies for patients undergoing percutaneous coronary intervention and stent placement. More than 1000 patients were genotyped in the pilot project in year 1. Essential pharmacist roles and responsibilities that developed and/or emerged required expertise in pharmacy informatics (development of clinical decision support in the electronic medical record), medication safety, medication‐use policies and processes, development of group and individual educational strategies, literature analysis, drug information, database management, patient care in targeted areas, logistical issues in genetic testing and follow‐up, research and ethical issues, and clinical precepting. In the first 2 years of the program (1 year planning and 1 year postimplementation), a total of 14 different pharmacists were directly and indirectly involved, with effort levels ranging from a few hours per month, to 25–30% effort for the director and associate director, to nearly full‐time for residents. Clinical pharmacists are well positioned to implement clinical pharmacogenomics programs, with expertise in pharmacokinetics, pharmacogenomics, informatics, and patient care. Education, training, and practice‐based resources are needed to support these roles and to facilitate the development of financially sustainable pharmacist‐led clinical pharmacogenomics practice models.


Clinical Pharmacology & Therapeutics | 2017

The Pharmacogenomics Research Network Translational Pharmacogenetics Program: Outcomes and Metrics of Pharmacogenetic Implementations Across Diverse Healthcare Systems

Jasmine A. Luzum; Ruth Pakyz; Amanda R. Elsey; Cyrine E. Haidar; Josh F. Peterson; Michelle Whirl-Carrillo; Samuel K. Handelman; Kathleen Palmer; Jill M. Pulley; Marc Beller; Jonathan S. Schildcrout; Julie R. Field; Kristin Weitzel; Rhonda M. Cooper-DeHoff; Larisa H. Cavallari; Peter H. O'Donnell; Russ B. Altman; Naveen L. Pereira; Mark J. Ratain; Dan M. Roden; Peter J. Embi; Wolfgang Sadee; Teri E. Klein; Julie A. Johnson; Mary V. Relling; Liewei Wang; Richard M. Weinshilboum; Alan R. Shuldiner; Robert R. Freimuth

Numerous pharmacogenetic clinical guidelines and recommendations have been published, but barriers have hindered the clinical implementation of pharmacogenetics. The Translational Pharmacogenetics Program (TPP) of the National Institutes of Health (NIH) Pharmacogenomics Research Network was established in 2011 to catalog and contribute to the development of pharmacogenetic implementations at eight US healthcare systems, with the goal to disseminate real‐world solutions for the barriers to clinical pharmacogenetic implementation. The TPP collected and normalized pharmacogenetic implementation metrics through June 2015, including gene–drug pairs implemented, interpretations of alleles and diplotypes, numbers of tests performed and actionable results, and workflow diagrams. TPP participant institutions developed diverse solutions to overcome many barriers, but the use of Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines provided some consistency among the institutions. The TPP also collected some pharmacogenetic implementation outcomes (scientific, educational, financial, and informatics), which may inform healthcare systems seeking to implement their own pharmacogenetic testing programs.


Clinical Pharmacology & Therapeutics | 2016

Advancing Pharmacogenomics as a Component of Precision Medicine: How, Where, and Who?

Julie A. Johnson; Kristin Weitzel

Pharmacogenomics is an important element of precision medicine. Advances in pharmacogenomics implementation have been made but significant barriers remain, including evidence, reimbursement, and clinician knowledge, among others. Widespread adoption of pharmacogenomics requires overcoming these barriers, a clinician champion group, which we propose will be pharmacists, and an easily accessible setting, which may be the community pharmacy. Whatever the path, it must be evidence‐driven and pharmacogenomics must improve drug‐related outcomes to become a standard of care.


Pharmacotherapy | 1999

Migraine: a comprehensive review of new treatment options.

Kristin Weitzel; Michele L. Thomas; Ralph E. Small; Jean-Venable “Kelly” R. Goode

Headaches are among the most common complaints reported to health care professionals and are classified by the International Headache Society as migraine, tension‐type, or cluster, with additional subtypes. Classification and etiology of headache should be determined after thorough review of the patients history. Once diagnosed, migraine can be treated by preventive or abortive measures. Recent developments add new options, including availability of drugs for intranasal administration (sumatriptan, dihydroergotamine) and 5‐HT1B/1D agonists (rizatriptan, zolmitriptan, naratriptan, eletriptan). Although placebo‐controlled trials are available, few comparative clinical trials of these agents have been conducted; however, important pharmacologic, pharmacokinetic, and clinical differences exist among the drugs.


Pharmacogenomics | 2017

Institutional profile: University of Florida Health Personalized Medicine Program

Larisa H. Cavallari; Kristin Weitzel; Amanda R. Elsey; Xinyue Liu; Scott A. Mosley; Donald M Smith; Benjamin Staley; Almut G. Winterstein; Carol A. Mathews; Francesco Franchi; Fabiana Rollini; Dominick J. Angiolillo; Petr Starostik; Michael Clare-Salzler; David R. Nelson; Julie A. Johnson

The University of Florida (UF) Health Personalized Medicine Program launched in 2012 with CYP2C19 genotyping for clopidogrel response at UF Health Shands Hospital. We have since expanded CYP2C19 genotyping to UF Health Jacksonville and established the infrastructure at UF Health to support clinical implementation for five additional gene-drug pairs: TPMT-thiopurines, IFNL3 (IL28B)-PEG IFN-α-based regimens, CYP2D6-opioids, CYP2D6/CYP2C19-antidepressants and CYP2C19-proton pump inhibitors. We are contributing to the evidence based on outcomes with genotype-guided therapy through pragmatic studies of our clinical implementations. In addition, we have developed a broad array of educational programs for providers, trainees and students that incorporate personal genotype evaluation to enhance participant learning.


Pharmaceutical Research | 2017

Preemptive Panel-Based Pharmacogenetic Testing: The Time is Now

Kristin Weitzel; Larisa H. Cavallari; Lawrence J. Lesko

While recent discoveries have paved the way for the use of genotype-guided prescribing in some clinical environments, significant debate persists among clinicians and researchers about the optimal approach to pharmacogenetic testing in clinical practice. One crucial factor in this debate surrounds the timing and methodology of genotyping, specifically whether genotyping should be performed reactively for targeted genes when a single drug is prescribed, or preemptively using a panel-based approach prior to drug prescribing. While early clinical models that employed a preemptive approach were largely developed in academic health centers through multidisciplinary efforts, increasing examples of pharmacogenetic testing are emerging in community-based and primary care practice environments. However, educational and practice-based resources for these clinicians remain largely nonexistent. As such, there is a need for the health care system to shift its focus from debating about preemptive genotyping to developing and disseminating needed resources to equip frontline clinicians for clinical implementation of pharmacogenetics. Providing tools and guidance to support these emerging models of care will be essential to support the thoughtful, evidence-based use of pharmacogenetic information in diverse clinical practice environments. Specifically, the creation of efficient and accurate point-of-care resources, practice-based tools, and clinical models is needed, along with identification and dissemination of sustainable avenues for pharmacogenetic test reimbursement.


The American Journal of Pharmaceutical Education | 2016

Effects of Using Personal Genotype Data on Student Learning and Attitudes in a Pharmacogenomics Course

Kristin Weitzel; Caitrin W. McDonough; Amanda R. Elsey; Benjamin Burkley; Larisa H. Cavallari; Julie A. Johnson

Objective. To evaluate the impact of personal genotyping and a novel educational approach on student attitudes, knowledge, and beliefs regarding pharmacogenomics and genomic medicine. Methods. Two online elective courses (pharmacogenomics and genomic medicine) were offered to student pharmacists at the University of Florida using a flipped-classroom, patient-centered teaching approach. In the pharmacogenomics course, students could be genotyped and apply results to patient cases. Results. Thirty-four and 19 student pharmacists completed the pharmacogenomics and genomic medicine courses, respectively, and 100% of eligible students (n=34) underwent genotyping. Student knowledge improved after the courses. Seventy-four percent (n=25) of students reported better understanding of pharmacogenomics based on having undergone genotyping. Conclusions. Completion of a novel pharmacogenomics elective course sequence that incorporated personal genotyping and genomic medicine was associated with increased student pharmacist knowledge and improved clinical confidence with pharmacogenomics.


Clinical Pharmacology & Therapeutics | 2018

Research Directions in the Clinical Implementation of Pharmacogenomics: An Overview of US Programs and Projects

Simona Volpi; Rex L. Chisholm; Patricia A. Deverka; Geoffrey S. Ginsburg; Howard J. Jacob; Melpomeni Kasapi; Howard L. McLeod; Dan M. Roden; Marc S. Williams; Eric D. Green; Laura Lyman Rodriguez; Samuel J. Aronson; Larisa H. Cavallari; Joshua C. Denny; Lynn G. Dressler; Julie A. Johnson; Teri E. Klein; J. Steven Leeder; Micheline Piquette-Miller; Minoli A. Perera; Laura J. Rasmussen-Torvik; Heidi L. Rehm; Marylyn D. Ritchie; Todd C. Skaar; Nikhil Wagle; Richard M. Weinshilboum; Kristin Weitzel; Robert Wildin; John Wilson; Teri A. Manolio

Response to a drug often differs widely among individual patients. This variability is frequently observed not only with respect to effective responses but also with adverse drug reactions. Matching patients to the drugs that are most likely to be effective and least likely to cause harm is the goal of effective therapeutics. Pharmacogenomics (PGx) holds the promise of precision medicine through elucidating the genetic determinants responsible for pharmacological outcomes and using them to guide drug selection and dosing. Here we survey the US landscape of research programs in PGx implementation, review current advances and clinical applications of PGx, summarize the obstacles that have hindered PGx implementation, and identify the critical knowledge gaps and possible studies needed to help to address them.

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Benjamin Staley

UF Health Shands Hospital

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Craig R. Lee

University of North Carolina at Chapel Hill

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