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Cavallari LH, Coons JC. Genetic Determinants of Response to P2Y 12 Inhibitors and Clinical Implications. Interv Cardiol Clin 2024; 13:469-481. [PMID: 39245547 DOI: 10.1016/j.iccl.2024.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/10/2024]
Abstract
The CYP2C19 enzyme metabolizes clopidogrel, a prodrug, to its active form. Approximately 30% of individuals inherit a loss-of-function (LoF) polymorphism in the CYP2C19 gene, leading to reduced formation of the active clopidogrel metabolite. Reduced clopidogrel effectiveness has been well documented in patients with an LoF allele following an acute coronary syndrome or percutaneous coronary intervention. Prasugrel or ticagrelor is recommended in those with an LoF allele as neither is affected by CYP2C19 genotype. Although data demonstrate improved outcomes with a CYP2C19-guided approach to P2Y12 inhibitor selection, genotyping has not yet been widely adopted in clinical practice.
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Affiliation(s)
- Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, 1333 Center Drive, PO Box 100486, Gainesville, FL 32610, USA.
| | - James C Coons
- Department of Pharmacy and Therapeutics, Center for Clinical Pharmaceutical Sciences, University of Pittsburgh, 9058 Salk Hall, 3501 Terrace Street, Pittsburgh, PA 15261, USA
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Shugg T, Tillman EM, Breman AM, Hodge JC, McDonald CA, Ly RC, Rowe EJ, Osei W, Smith TB, Schwartz PH, Callaghan JT, Pratt VM, Lynch S, Eadon MT, Skaar TC. Development of a Multifaceted Program for Pharmacogenetics Adoption at an Academic Medical Center: Practical Considerations and Lessons Learned. Clin Pharmacol Ther 2024; 116:914-931. [PMID: 39169556 PMCID: PMC11452286 DOI: 10.1002/cpt.3402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Accepted: 07/25/2024] [Indexed: 08/23/2024]
Abstract
In 2019, Indiana University launched the Precision Health Initiative to enhance the institutional adoption of precision medicine, including pharmacogenetics (PGx) implementation, at university-affiliated practice sites across Indiana. The overarching goal of this PGx implementation program was to facilitate the sustainable adoption of genotype-guided prescribing into routine clinical care. To accomplish this goal, we pursued the following specific objectives: (i) to integrate PGx testing into existing healthcare system processes; (ii) to implement drug-gene pairs with high-level evidence and educate providers and pharmacists on established clinical management recommendations; (iii) to engage key stakeholders, including patients to optimize the return of results for PGx testing; (iv) to reduce health disparities through the targeted inclusion of underrepresented populations; (v) and to track third-party reimbursement. This tutorial details our multifaceted PGx implementation program, including descriptions of our interventions, the critical challenges faced, and the major program successes. By describing our experience, we aim to assist other clinical teams in achieving sustainable PGx implementation in their health systems.
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Affiliation(s)
- Tyler Shugg
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Emma M. Tillman
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Amy M. Breman
- Division of Diagnostic Genomics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Jennelle C. Hodge
- Division of Diagnostic Genomics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Christine A. McDonald
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Reynold C. Ly
- Division of Diagnostic Genomics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Elizabeth J. Rowe
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Wilberforce Osei
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Tayler B. Smith
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Peter H. Schwartz
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - John T. Callaghan
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Victoria M. Pratt
- Division of Diagnostic Genomics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Sheryl Lynch
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Michael T. Eadon
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Todd C. Skaar
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
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3
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Wu A, Raack EJ, Ross CJD, Carleton BC. Implementation and Evaluation Strategies for Pharmacogenetic Testing in Hospital Settings: A Scoping Review. Ther Drug Monit 2024:00007691-990000000-00266. [PMID: 39264345 DOI: 10.1097/ftd.0000000000001243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 05/01/2024] [Indexed: 09/13/2024]
Abstract
BACKGROUND Pharmacogenetic testing in clinical settings has improved the safety and efficacy of drug treatment. There is a growing number of studies evaluating pharmacogenetic implementation and identifying barriers and facilitators. However, no review has focused on bridging the gap between identifying barriers and facilitators of testing and the clinical strategies adopted in response. This review was conducted to understand the implementation and evaluation strategies of pharmacogenetic testing programs. METHODS A PRISMA-compliant scoping review was conducted. The included studies discussed pharmacogenetic testing programs implemented in a hospital setting. Quantitative, qualitative, and mixed design methods were included. RESULTS A total of 232 of the 7043 articles that described clinical pharmacogenetic programs were included. The most common specialties that described pharmacogenetic implementation were psychiatry (26%) and oncology (16%), although many studies described institutional programs implemented across multiple specialties (19%). Different specialties reported different clinical outcomes, but all reported similar program performance indicators, such as test uptake and the number of times the test recommendations were followed. There were benefits and drawbacks to delivering test results through research personnel, pharmacists, and electronic alerts, but active engagement of physicians was necessary for the incorporation of pharmacogenetic results into clinical decision making. CONCLUSIONS Further research is required on the maintenance and sustainability of pharmacogenetic testing initiatives. These findings provide an overview of the implementation and evaluation strategies of different specialties that can be used to improve pharmacogenetic testing.
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Affiliation(s)
- Angela Wu
- Department of Experimental Medicine, University of British Columbia
- BC Children's Hospital Research Institute
| | - Edward J Raack
- BC Children's Hospital Research Institute
- Department of Medical Genetics, University of British Columbia
| | - Colin J D Ross
- BC Children's Hospital Research Institute
- Division of Translational Therapeutics, Department of Pediatrics, University of British Columbia; and
| | - Bruce C Carleton
- BC Children's Hospital Research Institute
- Department of Medical Genetics, University of British Columbia
- Division of Translational Therapeutics, Department of Pediatrics, University of British Columbia; and
- Therapeutic Evaluation Unit, Provincial Health Services Authority, Vancouver, British Columbia, Canada
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Cavallari LH, Lee CR, Franchi F, Keeley EC, Rossi JS, Thomas CD, Gong Y, McDonough CW, Starostik P, Al Saeed MJ, Been L, Kulick N, Malave J, Mulrenin IR, Nguyen AB, Terrell JN, Tillotson G, Beitelshees AL, Winterstein AG, Stouffer GA, Angiolillo DJ. Precision Antiplatelet Therapy after Percutaneous Coronary Intervention (Precision PCI) Registry - Informing optimal antiplatelet strategies. Clin Transl Sci 2024; 17:e70004. [PMID: 39150361 PMCID: PMC11328342 DOI: 10.1111/cts.70004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 08/01/2024] [Accepted: 08/06/2024] [Indexed: 08/17/2024] Open
Abstract
Dual antiplatelet therapy (DAPT) with aspirin and a P2Y12 receptor inhibitor (clopidogrel, prasugrel, or ticagrelor) is indicated after percutaneous coronary intervention (PCI) to reduce the risk of atherothrombotic events. Approximately 30% of the US population has a CYP2C19 no-function allele that reduces the effectiveness of clopidogrel, but not prasugrel or ticagrelor, after PCI. We have shown improved outcomes with the integration of CYP2C19 genotyping into clinical care to guide the selection of prasugrel or ticagrelor in CYP2C19 no-function allele carriers. However, the influence of patient-specific demographic, clinical, and other genetic factors on outcomes with genotype-guided DAPT has not been defined. In addition, the impact of genotype-guided de-escalation from prasugrel or ticagrelor to clopidogrel in patients without a CYP2C19 no-function allele has not been investigated in a diverse, real-world clinical setting. The Precision Antiplatelet Therapy after Percutaneous Coronary Intervention (Precision PCI) Registry is a multicenter US registry of patients who underwent PCI and clinical CYP2C19 testing. The registry is enrolling a diverse population, assessing atherothrombotic and bleeding events over 12 months, collecting DNA samples, and conducting platelet function testing in a subset of patients. The registry aims to define the influence of African ancestry and other patient-specific factors on clinical outcomes with CYP2C19-guided DAPT, evaluate the safety and effectiveness of CYP2C19-guided DAPT de-escalation following PCI in a real-world setting, and identify additional genetic influences of clopidogrel response after PCI, with the ultimate goal of establishing optimal strategies for individualized antiplatelet therapy that improves outcomes in a diverse, real-world population.
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Affiliation(s)
- Larisa H. Cavallari
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
| | - Craig R. Lee
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of PharmacyUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
- Division of Cardiology and McAllister Heart Institute, School of MedicineUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Francesco Franchi
- Division of Cardiology, Department of Medicine, College of Medicine‐JacksonvilleUniversity of FloridaJacksonvilleFloridaUSA
| | - Ellen C. Keeley
- Division of Cardiovascular Medicine, College of MedicineUniversity of FloridaGainesvilleFloridaUSA
| | - Joseph S. Rossi
- Division of Cardiology and McAllister Heart Institute, School of MedicineUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Cameron D. Thomas
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
| | - Yan Gong
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
| | - Caitrin W. McDonough
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
| | - Petr Starostik
- Department of Pathology, Immunology and Laboratory Medicine; College of MedicineUniversity of FloridaGainesvilleFloridaUSA
| | - Maryam J. Al Saeed
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
| | - Latonya Been
- Division of Cardiology, Department of Medicine, College of Medicine‐JacksonvilleUniversity of FloridaJacksonvilleFloridaUSA
| | - Natasha Kulick
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of PharmacyUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
- Division of Cardiology and McAllister Heart Institute, School of MedicineUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Jean Malave
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
| | - Ian R. Mulrenin
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of PharmacyUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Anh B. Nguyen
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of PharmacyUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Joshua N. Terrell
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
| | - Grace Tillotson
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of PharmacyUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Amber L. Beitelshees
- Department of Medicine and Program for Personalized and Genomic MedicineUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Almut G. Winterstein
- Department of Pharmaceutical Outcomes & Policy and Center for Drug Evaluation and Safety, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
| | - George A. Stouffer
- Division of Cardiology and McAllister Heart Institute, School of MedicineUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Dominick J. Angiolillo
- Division of Cardiology, Department of Medicine, College of Medicine‐JacksonvilleUniversity of FloridaJacksonvilleFloridaUSA
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Kanegusuku ALG, Chan CW, O'Donnell PH, Yeo KTJ. Implementation of pharmacogenomics testing for precision medicine. Crit Rev Clin Lab Sci 2024; 61:89-106. [PMID: 37776898 DOI: 10.1080/10408363.2023.2255279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 08/31/2023] [Indexed: 10/02/2023]
Abstract
Great strides have been made in the past decade to lower barriers to clinical pharmacogenomics implementation. Nevertheless, PGx consultation prior to prescribing therapeutics is not yet mainstream. This review addresses the current climate surrounding PGx implementation, focusing primarily on strategies for implementation at academic institutions, particularly at The University of Chicago, and provides an up-to-date guide of resources supporting the development of PGx programs. Remaining challenges and recent strategies for overcoming these challenges to implementation are discussed.
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Affiliation(s)
| | - Clarence W Chan
- Departments of Pathology, The University of Chicago, Chicago, IL, USA
| | - Peter H O'Donnell
- Department of Medicine, The University of Chicago, Chicago, IL, USA
- Center for Personalized Therapeutics, The University of Chicago, Chicago, IL, USA
| | - Kiang-Teck J Yeo
- Departments of Pathology, The University of Chicago, Chicago, IL, USA
- Center for Personalized Therapeutics, The University of Chicago, Chicago, IL, USA
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Li LJ, Legeay S, Gagnon AL, Frigon MP, Tessier L, Tremblay K. Moving towards the implementation of pharmacogenetic testing in Quebec. Front Genet 2024; 14:1295963. [PMID: 38234998 PMCID: PMC10791884 DOI: 10.3389/fgene.2023.1295963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 12/11/2023] [Indexed: 01/19/2024] Open
Abstract
Clinical implementation of pharmacogenetics (PGx) into routine care will elevate the current paradigm of treatment decisions. However, while PGx tests are increasingly becoming reliable and affordable, several barriers have limited their widespread usage in Canada. Globally, over ninety successful PGx implementors can serve as models. The purpose of this paper is to outline the PGx implementation barriers documented in Quebec (Canada) to suggest efficient solutions based on existing PGx clinics and propose an adapted clinical implementation model. We conclude that the province of Quebec is ready to implement PGx.
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Affiliation(s)
- Ling Jing Li
- Centre Intégré Universitaire de Santé et de Services Sociaux Du Saguenay-Lac-Saint-Jean (Chicoutimi University Hospital), Research Center, Saguenay, QC, Canada
- Medicine Department, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Saguenay, QC, Canada
| | - Samuel Legeay
- Centre Intégré Universitaire de Santé et de Services Sociaux Du Saguenay-Lac-Saint-Jean (Chicoutimi University Hospital), Research Center, Saguenay, QC, Canada
- Medicine Department, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Saguenay, QC, Canada
- University Angers, [CHU Angers], Inserm, CNRS, MINT, Angers, France
| | - Ann-Lorie Gagnon
- Centre Intégré Universitaire de Santé et de Services Sociaux Du Saguenay-Lac-Saint-Jean (Chicoutimi University Hospital), Research Center, Saguenay, QC, Canada
| | - Marie-Pier Frigon
- Centre Intégré Universitaire de Santé et de Services Sociaux Du Saguenay-Lac-Saint-Jean (Chicoutimi University Hospital), Research Center, Saguenay, QC, Canada
- Pediatrics Department, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Laurence Tessier
- Centre Intégré Universitaire de Santé et de Services Sociaux Du Saguenay-Lac-Saint-Jean (Chicoutimi University Hospital), Research Center, Saguenay, QC, Canada
- Pharmacology-Physiology Department, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Saguenay, QC, Canada
| | - Karine Tremblay
- Centre Intégré Universitaire de Santé et de Services Sociaux Du Saguenay-Lac-Saint-Jean (Chicoutimi University Hospital), Research Center, Saguenay, QC, Canada
- Pharmacology-Physiology Department, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Saguenay, QC, Canada
- Centre de Recherche Du Centre Hospitalier Universitaire de Sherbrooke (CR-CHUS), Sherbrooke, QC, Canada
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Fahim SM, Alexander CSW, Qian J, Ngorsuraches S, Hohmann NS, Lloyd KB, Reagan A, Hart L, McCormick N, Westrick SC. Current published evidence on barriers and proposed strategies for genetic testing implementation in health care settings: A scoping review. J Am Pharm Assoc (2003) 2023; 63:998-1016. [PMID: 37119989 DOI: 10.1016/j.japh.2023.04.022] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 04/20/2023] [Accepted: 04/22/2023] [Indexed: 05/01/2023]
Abstract
BACKGROUND The slow uptake of genetic testing in routine clinical practice warrants the attention of researchers and practitioners to find effective strategies to facilitate implementation. OBJECTIVES This study aimed to identify the barriers to and strategies for pharmacogenetic testing implementation in a health care setting from published literature. METHODS A scoping review was conducted in August 2021 with an expanded literature search using Ovid MEDLINE, Web of Science, International Pharmaceutical Abstract, and Google Scholar to identify studies reporting implementation of pharmacogenetic testing in a health care setting, from a health care system's perspective. Articles were screened using DistillerSR and findings were organized using the 5 major domains of Consolidated Framework for Implementation Research (CFIR). RESULTS A total of 3536 unique articles were retrieved from the above sources, with only 253 articles retained after title and abstract screening. Upon screening the full texts, 57 articles (representing 46 unique practice sites) were found matching the inclusion criteria. We found that most reported barriers and their associated strategies to the implementation of pharmacogenetic testing surrounded 2 CFIR domains: intervention characteristics and inner settings. Factors relating to cost and reimbursement were described as major barriers in the intervention characteristics. In the same domain, another major barrier was the lack of utility studies to provide evidence for genetic testing uptake. Technical hurdles, such as integrating genetic information to medical records, were identified as an inner settings barrier. Collaborations and lessons from early implementers could be useful strategies to overcome majority of the barriers across different health care settings. Strategies proposed by the included implementation studies to overcome these barriers are summarized and can be used as guidance in future. CONCLUSION Barriers and strategies identified in this scoping review can provide implementation guidance for practice sites that are interested in implementing genetic testing.
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Asiimwe IG, Pirmohamed M. Drug-Drug-Gene Interactions in Cardiovascular Medicine. Pharmgenomics Pers Med 2022; 15:879-911. [PMID: 36353710 PMCID: PMC9639705 DOI: 10.2147/pgpm.s338601] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 10/21/2022] [Indexed: 11/18/2022] Open
Abstract
Cardiovascular disease remains a leading cause of both morbidity and mortality worldwide. It is widely accepted that both concomitant medications (drug-drug interactions, DDIs) and genomic factors (drug-gene interactions, DGIs) can influence cardiovascular drug-related efficacy and safety outcomes. Although thousands of DDI and DGI (aka pharmacogenomic) studies have been published to date, the literature on drug-drug-gene interactions (DDGIs, cumulative effects of DDIs and DGIs) remains scarce. Moreover, multimorbidity is common in cardiovascular disease patients and is often associated with polypharmacy, which increases the likelihood of clinically relevant drug-related interactions. These, in turn, can lead to reduced drug efficacy, medication-related harm (adverse drug reactions, longer hospitalizations, mortality) and increased healthcare costs. To examine the extent to which DDGIs and other interactions influence efficacy and safety outcomes in the field of cardiovascular medicine, we review current evidence in the field. We describe the different categories of DDIs and DGIs before illustrating how these two interact to produce DDGIs and other complex interactions. We provide examples of studies that have reported the prevalence of clinically relevant interactions and the most implicated cardiovascular medicines before outlining the challenges associated with dealing with these interactions in clinical practice. Finally, we provide recommendations on how to manage the challenges including but not limited to expanding the scope of drug information compendia, interaction databases and clinical implementation guidelines (to include clinically relevant DDGIs and other complex interactions) and work towards their harmonization; better use of electronic decision support tools; using big data and novel computational techniques; using clinically relevant endpoints, preemptive genotyping; ensuring ethnic diversity; and upskilling of clinicians in pharmacogenomics and personalized medicine.
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Affiliation(s)
- Innocent G Asiimwe
- The Wolfson Centre for Personalized Medicine, MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
| | - Munir Pirmohamed
- The Wolfson Centre for Personalized Medicine, MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
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Haidar CE, Crews KR, Hoffman JM, Relling MV, Caudle KE. Advancing Pharmacogenomics from Single-Gene to Preemptive Testing. Annu Rev Genomics Hum Genet 2022; 23:449-473. [PMID: 35537468 PMCID: PMC9483991 DOI: 10.1146/annurev-genom-111621-102737] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Pharmacogenomic testing can be an effective tool to enhance medication safety and efficacy. Pharmacogenomically actionable medications are widely used, and approximately 90-95% of individuals have an actionable genotype for at least one pharmacogene. For pharmacogenomic testing to have the greatest impact on medication safety and clinical care, genetic information should be made available at the time of prescribing (preemptive testing). However, the use of preemptive pharmacogenomic testing is associated with some logistical concerns, such as consistent reimbursement, processes for reporting preemptive results over an individual's lifetime, and result portability. Lessons can be learned from institutions that have implemented preemptive pharmacogenomic testing. In this review, we discuss the rationale and best practices for implementing pharmacogenomics preemptively.
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Affiliation(s)
- Cyrine E Haidar
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA; , , , ,
| | - Kristine R Crews
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA; , , , ,
| | - James M Hoffman
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA; , , , ,
- Office of Quality and Safety, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Mary V Relling
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA; , , , ,
| | - Kelly E Caudle
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA; , , , ,
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10
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Varughese LA, Bhupathiraju M, Hoffecker G, Terek S, Harr M, Hakonarson H, Cambareri C, Marini J, Landgraf J, Chen J, Kanter G, Lau-Min KS, Massa RC, Damjanov N, Reddy NJ, Oyer RA, Teitelbaum UR, Tuteja S. Implementing Pharmacogenetic Testing in Gastrointestinal Cancers (IMPACT-GI): Study Protocol for a Pragmatic Implementation Trial for Establishing DPYD and UGT1A1 Screening to Guide Chemotherapy Dosing. Front Oncol 2022; 12:859846. [PMID: 35865463 PMCID: PMC9295185 DOI: 10.3389/fonc.2022.859846] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 05/17/2022] [Indexed: 11/13/2022] Open
Abstract
Background Fluoropyrimidines (fluorouracil [5-FU], capecitabine) and irinotecan are commonly prescribed chemotherapy agents for gastrointestinal (GI) malignancies. Pharmacogenetic (PGx) testing for germline DPYD and UGT1A1 variants associated with reduced enzyme activity holds the potential to identify patients at high risk for severe chemotherapy-induced toxicity. Slow adoption of PGx testing in routine clinical care is due to implementation barriers, including long test turnaround times, lack of integration in the electronic health record (EHR), and ambiguity in test cost coverage. We sought to establish PGx testing in our health system following the Exploration, Preparation, Implementation, Sustainment (EPIS) framework as a guide. Our implementation study aims to address barriers to PGx testing. Methods The Implementing Pharmacogenetic Testing in Gastrointestinal Cancers (IMPACT-GI) study is a non-randomized, pragmatic, open-label implementation study at three sites within a major academic health system. Eligible patients with a GI malignancy indicated for treatment with 5-FU, capecitabine, or irinotecan will undergo PGx testing prior to chemotherapy initiation. Specimens will be sent to an academic clinical laboratory followed by return of results in the EHR with appropriate clinical decision support for the care team. We hypothesize that the availability of a rapid turnaround PGx test with specific dosing recommendations will increase PGx test utilization to guide pharmacotherapy decisions and improve patient safety outcomes. Primary implementation endpoints are feasibility, fidelity, and penetrance. Exploratory analyses for clinical effectiveness of genotyping will include assessing grade ≥3 treatment-related toxicity using available clinical data, patient-reported outcomes, and quality of life measures. Conclusion We describe the formative work conducted to prepare our health system for DPYD and UGT1A1 testing. Our prospective implementation study will evaluate the clinical implementation of this testing program and create the infrastructure necessary to ensure sustainability of PGx testing in our health system. The results of this study may help other institutions interested in implementing PGx testing in oncology care. Clinical Trial Registration https://clinicaltrials.gov/ct2/show/NCT04736472, identifier [NCT04736472].
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Affiliation(s)
- Lisa A. Varughese
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Madhuri Bhupathiraju
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Glenda Hoffecker
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Shannon Terek
- Center for Applied Genomics, The Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Margaret Harr
- Center for Applied Genomics, The Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Hakon Hakonarson
- Center for Applied Genomics, The Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Christine Cambareri
- Department of Pharmacy, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Jessica Marini
- Department of Pharmacy, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Jeffrey Landgraf
- Information Services Applications, Penn Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Jinbo Chen
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Genevieve Kanter
- Division of Medical Ethics and Health Policy, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Kelsey S. Lau-Min
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Ryan C. Massa
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Nevena Damjanov
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Nandi J. Reddy
- Ann B. Barshinger Cancer Institute, Lancaster General Health, Penn Medicine, Lancaster, PA, United States
| | - Randall A. Oyer
- Ann B. Barshinger Cancer Institute, Lancaster General Health, Penn Medicine, Lancaster, PA, United States
| | - Ursina R. Teitelbaum
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Sony Tuteja
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- *Correspondence: Sony Tuteja,
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11
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Selig DJ, Livezey JR, Chin GC, DeLuca JP, Guillory Ii WO, Kress AT, Oliver TO, Por ED. Prescription Patterns and Relationship to Pharmacogenomics Testing in the Military Health System. Mil Med 2021; 187:9-17. [PMID: 34967405 DOI: 10.1093/milmed/usab481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 10/21/2021] [Accepted: 12/03/2021] [Indexed: 11/12/2022] Open
Abstract
INTRODUCTION Clinical utilization of pharmacogenomics (PGx) testing is highly institutionally dependent, and little information is known about provider practices of PGx testing in the Military Health System (MHS). In this study, we aimed to characterize Clinical Pharmacogenetics Implementation Consortium (CPIC) actionable prescription (Rx) patterns and their temporal relationship with PGx testing in the MHS. METHODS Using data from the Military Health System Management Analysis and Reporting Tool (M2) database, this retrospective cohort study included all patients receiving at least one PGx test and at least one CPIC actionable Rx from January 2015 to August 2020 (845 patients, 1,471 PGx, 7,725 index CPIC actionable Rxs). Rx patterns and temporal relationships with PGx testing were characterized via descriptive statistics. Binomial regression was used to determine which patient and provider characteristics were associated with a patient receiving a PGx test within 30 days of an index Rx. RESULTS Patients had a median of 9 index CPIC actionable Rx's (range 1-26). Pain medications were most commonly prescribed (N = 794, 94% patients with at least 1 Rx). However, pain medication had the lowest Rx-PGx match rate (40%) compared to an average of 62% Rx-PGx match rate for all CPIC drugs. Antidepressants were also commonly prescribed (N = 668, 79.1% patients with at least 1 Rx), and antidepressants had the highest Rx-PGx match rate of 86.7%. A minority of providers (20%, N = 249) ordered the majority of PGx tests (86.1%, N = 1,266) and only 8.3% of PGx tests (N = 398) matched to a CPIC actionable drug within 30 days of the test (defined by Rxs ordered within 30 days before or after the PGx test). However, approximately 39.8% of patients (N = 317) had at least one drug match to a PGx test within 30 days. The largest predictor of whether a patient received a PGx test within 30 days of any index Rx was whether or not a specific psychiatry provider ordered the PGx test (odds ratio; OR 3.7, 95% CI 2.13-6.54, P < 0.001). Neither the CPIC level of evidence nor FDA PGx actionable or informative labels had a significant effect on PGx test timing. CONCLUSIONS PGx testing was generally limited to high Rx-drug users and was found to be an under-utilized resource. PGx testing did not typically follow CPIC guidelines. Implementing PGx testing protocols, simplifying PGx test-ordering by incorporating at minimum CYP2D6, CYP2C19, and CYP2C9 into PGx-testing panels, and unifying providers' PGx knowledgebase in the MHS are feasible and would improve the clinical utilization of PGx tests in the MHS.
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Affiliation(s)
- Daniel J Selig
- Experimental Therapeutics Department, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA
| | - Jeffrey R Livezey
- Clinical Pharmacology Department, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
| | - Geoffrey C Chin
- Experimental Therapeutics Department, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA
| | - Jesse P DeLuca
- Experimental Therapeutics Department, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA
| | - Walter O Guillory Ii
- The Internal Medicine Department, Walter Reed National Military Medical Center, Bethesda, MD 20814, USA
| | - Adrian T Kress
- Experimental Therapeutics Department, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA
| | - Thomas O Oliver
- Clinical Pharmacology Department, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
| | - Elaine D Por
- Experimental Therapeutics Department, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA
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12
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Mroz P, Michel S, Allen JD, Meyer T, McGonagle EJ, Carpentier R, Vecchia A, Schlichte A, Bishop JR, Dunnenberger HM, Yohe S, Thyagarajan B, Jacobson PA, Johnson SG. Development and Implementation of In-House Pharmacogenomic Testing Program at a Major Academic Health System. Front Genet 2021; 12:712602. [PMID: 34745204 PMCID: PMC8564018 DOI: 10.3389/fgene.2021.712602] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 09/16/2021] [Indexed: 12/26/2022] Open
Abstract
Pharmacogenomics (PGx) studies how a person's genes affect the response to medications and is quickly becoming a significant part of precision medicine. The clinical application of PGx principles has consistently been cited as a major opportunity for improving therapeutic outcomes. Several recent studies have demonstrated that most individuals (> 90%) harbor PGx variants that would be clinically actionable if prescribed a medication relevant to that gene. In multiple well-conducted studies, the results of PGx testing have been shown to guide therapy choice and dosing modifications which improve treatment efficacy and reduce the incidence of adverse drug reactions (ADRs). Although the value of PGx testing is evident, its successful implementation in a clinical setting presents a number of challenges to molecular diagnostic laboratories, healthcare systems, providers and patients. Different molecular methods can be applied to identify PGx variants and the design of the assay is therefore extremely important. Once the genotyping results are available the biggest technical challenge lies in turning this complex genetic information into phenotypes and actionable recommendations that a busy clinician can effectively utilize to provide better medical care, in a cost-effective, efficient and reliable manner. In this paper we describe a successful and highly collaborative implementation of the PGx testing program at the University of Minnesota and MHealth Fairview Molecular Diagnostic Laboratory and selected Pharmacies and Clinics. We offer detailed descriptions of the necessary components of the pharmacogenomic testing implementation, the development and technical validation of the in-house SNP based multiplex PCR based assay targeting 20 genes and 48 SNPs as well as a separate CYP2D6 copy number assay along with the process of PGx report design, results of the provider and pharmacists usability studies, and the development of the software tool for genotype-phenotype translation and gene-phenotype-drug CPIC-based recommendations. Finally, we outline the process of developing the clinical workflow that connects the providers with the PGx experts within the Molecular Diagnostic Laboratory and the Pharmacy.
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Affiliation(s)
- Pawel Mroz
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, United States
| | - Stephen Michel
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, United States
| | - Josiah D Allen
- Department of Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN, United States
| | - Tim Meyer
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, United States
| | - Erin J McGonagle
- Department of Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN, United States
| | | | | | | | - Jeffrey R Bishop
- Department of Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN, United States.,Department of Psychiatry, University of Minnesota Medical School, Minneapolis, MN, United States
| | - Henry M Dunnenberger
- Mark R Neaman Center for Personalized Medicine Center, NorthShore University HealthSystem, Evanston, IL, United States
| | - Sophia Yohe
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, United States
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, United States
| | - Pamala A Jacobson
- Department of Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN, United States
| | - Steven G Johnson
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, United States
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13
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Luczak T, Brown SJ, Armbruster D, Hundertmark M, Brown J, Stenehjem D. Strategies and settings of clinical pharmacogenetic implementation: a scoping review of pharmacogenetics programs. Pharmacogenomics 2021; 22:345-364. [PMID: 33829852 DOI: 10.2217/pgs-2020-0181] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Pharmacogenetic (PGx) literature has shown beneficial outcomes in safety, efficacy and cost when evidence-based gene-drug decision making is incorporated into clinical practice. PGx programs with successfully implemented clinical services have been published in a variety of settings including academic health centers and community practice. The primary objective was to systematically scope the literature to characterize the current trends, extent, range and nature of clinical PGx programs. Forty articles representing 19 clinical PGx programs were included in analysis. Most programs are in urban, academic institutions. Education, governance and workflow were commonly described while billing/reimbursement and consent were not. This review provides an overview of current PGx models that can be used as a reference for institutions beginning the implementation process.
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Affiliation(s)
- Tiana Luczak
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota, College of Pharmacy, Duluth, MN 55812, USA.,Essentia Health, Duluth, MN 55805, USA
| | - Sarah Jane Brown
- Health Sciences Libraries, University of Minnesota, MN 55455, USA
| | - Danielle Armbruster
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota, College of Pharmacy, Duluth, MN 55812, USA
| | - Megan Hundertmark
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota, College of Pharmacy, Duluth, MN 55812, USA
| | - Jacob Brown
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota, College of Pharmacy, Duluth, MN 55812, USA
| | - David Stenehjem
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota, College of Pharmacy, Duluth, MN 55812, USA
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14
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Caraballo PJ, Sutton JA, Giri J, Wright JA, Nicholson WT, Kullo IJ, Parkulo MA, Bielinski SJ, Moyer AM. Integrating pharmacogenomics into the electronic health record by implementing genomic indicators. J Am Med Inform Assoc 2021; 27:154-158. [PMID: 31591640 DOI: 10.1093/jamia/ocz177] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 08/19/2019] [Accepted: 09/11/2019] [Indexed: 12/27/2022] Open
Abstract
Pharmacogenomics (PGx) clinical decision support integrated into the electronic health record (EHR) has the potential to provide relevant knowledge to clinicians to enable individualized care. However, past experience implementing PGx clinical decision support into multiple EHR platforms has identified important clinical, procedural, and technical challenges. Commercial EHRs have been widely criticized for the lack of readiness to implement precision medicine. Herein, we share our experiences and lessons learned implementing new EHR functionality charting PGx phenotypes in a unique repository, genomic indicators, instead of using the problem or allergy list. The Gen-Ind has additional features including a brief description of the clinical impact, a hyperlink to the original laboratory report, and links to additional educational resources. The automatic generation of genomic indicators from interfaced PGx test results facilitates implementation and long-term maintenance of PGx data in the EHR and can be used as criteria for synchronous and asynchronous CDS.
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Affiliation(s)
- Pedro J Caraballo
- Division of General Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
- Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA
| | - Joseph A Sutton
- Department of Information Technology, Mayo Clinic, Rochester, Minnesota
| | - Jyothsna Giri
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Jessica A Wright
- Department of Pharmacy Services, Mayo Clinic, Rochester, Minnesota, USA
| | - Wayne T Nicholson
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Mark A Parkulo
- Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA
- Division of Community Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Suzette J Bielinski
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Ann M Moyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
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15
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Nguyen KA, Eadon MT, Yoo R, Milway E, Kenneally A, Fekete K, Oh H, Duong K, Whipple EC, Schleyer TK. Risk Factors for Bleeding and Clinical Ineffectiveness Associated With Clopidogrel Therapy: A Comprehensive Meta-Analysis. Clin Transl Sci 2021; 14:645-655. [PMID: 33202084 PMCID: PMC7993261 DOI: 10.1111/cts.12926] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 10/05/2020] [Indexed: 01/13/2023] Open
Abstract
Although clopidogrel is a frequently used antiplatelet medication to treat and prevent atherothrombotic disease, clinicians must balance its clinical effectiveness with the potential side effect of bleeding. However, many previous studies have evaluated beneficial and adverse factors separately. The objective of our study was to perform a comprehensive meta-analysis of studies of clopidogrel's clinical effectiveness and/or risk of bleeding in order to identify and assess all reported risk factors, thus helping clinicians to balance patient safety with drug efficacy. We analyzed randomized controlled trials (RCTs) of maintenance use in four stages: search for relevant primary articles; abstract and full article screening; quality assessment and data extraction; and synthesis and data analysis. Screening of 7,109 articles yielded 52 RCTs that met the inclusion criteria. Twenty-seven risk factors were identified. "Definite risk factors" were defined as those with aggregated odds ratios (ORs) > 1 and confidence intervals (CIs) > 1 if analyzed in more than one study. Definite risk factors for major bleeding were concomitant aspirin use (OR 2.83, 95% CI 2.04-3.94) and long duration of clopidogrel therapy (> 6 months) (OR 1.74, 95% CI 1.21-2.50). Dual antiplatelet therapy, extended clopidogrel therapy, and high maintenance dose (150 mg/day) of clopidogrel were definite risk factors for any bleeding. Reduced renal function, both mild and severe, was the only definite risk factor for clinical ineffectiveness. These findings can help clinicians predict the risks and effectiveness of clopidogrel use for their patients and be used in clinical decision support tools.
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Affiliation(s)
- Khoa A. Nguyen
- College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
- Regenstrief InstituteIndianapolisIndianaUSA
| | | | - Ryan Yoo
- College of PharmacyPurdue UniversityWest LafayetteIndianaUSA
| | - Evan Milway
- College of PharmacyPurdue UniversityWest LafayetteIndianaUSA
| | | | - Kevin Fekete
- College of PharmacyPurdue UniversityWest LafayetteIndianaUSA
| | - Hyun Oh
- College of PharmacyPurdue UniversityWest LafayetteIndianaUSA
| | - Khanh Duong
- College of PharmacyPurdue UniversityWest LafayetteIndianaUSA
| | | | - Titus K. Schleyer
- Regenstrief InstituteIndianapolisIndianaUSA
- School of MedicineIndiana UniversityIndianapolisIndianaUSA
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16
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Tsuji D, Saito Y, Mushiroda T, Miura M, Hira D, Terada T. Results of a nationwide survey of Japanese pharmacists regarding the application of pharmacogenomic testing in precision medicine. J Clin Pharm Ther 2021; 46:649-657. [PMID: 33555613 DOI: 10.1111/jcpt.13367] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 12/23/2020] [Accepted: 01/19/2021] [Indexed: 02/03/2023]
Abstract
WHAT IS KNOWN AND OBJECTIVE Pharmacogenomics (PGx) testing can be effective for supporting precision medicine. The purpose of this study was to assess the knowledge, attitude and practice behaviours of pharmacists in relation to such testing through a survey. We also aimed to identify potential obstacles to implementation of PGx testing by pharmacists and the characteristics of hospital pharmacists involved. METHODS We performed a web-based survey regarding PGx in Japan. The survey contained a questionnaire related to PGx, which consisted of 30 items and was made accessible via the official Japanese Society of Pharmaceutical Health Care and Sciences (JSPHCS) website. The characteristics of hospital pharmacists associated with involvement in PGx testing were evaluated using univariate and multivariate analyses. RESULTS AND DISCUSSION One thousand three-hundred and thirteen pharmacists responded to the survey. The results revealed that the majority of respondents recognized the role that germline PGx testing can play in determining individual drug responses and that pharmacists have embraced the potential of PGx testing to improve patient care. However, only 26% of pharmacists were involved in PGx testing. We also found that most respondents (81.0%) believed that the lack of insurance coverage for PGx testing was a major barrier to its clinical implementation. Hospital pharmacists involved in PGx testing included certified pharmacists in JSPHCS and pharmacists who had studied PGx in university; however, only 12.4% of pharmacists had received specific PGx-related education. WHAT IS NEW AND CONCLUSION The findings of this survey highlight the necessity to increase the number of PGx tests covered by insurance, and the importance of effective education to inform and facilitate clinical implementation of PGx testing.
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Affiliation(s)
- Daiki Tsuji
- Department of Clinical Pharmacology & Genetics, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka City, Shizuoka, Japan
| | - Yoshiro Saito
- Division of Medicinal Safety Science, National Institute of Health Sciences, Kawasaki City, Kanagawa, Japan
| | - Taisei Mushiroda
- Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences, Yokohama City, Kanagawa, Japan
| | - Masatomo Miura
- Department of Pharmacy, Akita University Hospital, Akita City, Akita, Japan
| | - Daiki Hira
- Laboratory of Clinical Pharmacy, College of Pharmaceutical Sciences, Ritsumeikan University, Kusatsu City, Shiga, Japan
| | - Tomohiro Terada
- Department of Pharmacy, Shiga University of Medical Science Hospital, Otsu City, Shiga, Japan
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17
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Osama S, Wirth F, Zahra G, Barbara C, Xuereb RG, Camilleri L, Azzopardi LM. CYP2C19*2 genetic polymorphism and incidence of in-stent restenosis in patients on clopidogrel: a matched case-control study. Drug Metab Pers Ther 2021; 37:155-161. [PMID: 34851561 DOI: 10.1515/dmpt-2021-0160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 10/01/2021] [Indexed: 11/15/2022]
Abstract
OBJECTIVES The cytochrome P450 2C19*2 (CYP2C19*2) genetic polymorphism is associated with reduced clopidogrel bioactivation, increasing the risk of atherothrombotic complications after percutaneous coronary intervention (PCI). In-stent restenosis (ISR) is a complication that limits the long-term prognosis of PCI. The aim was to investigate the association between presence of the CYP2C19*2 allele and ISR within one-year after PCI in patients prescribed dual antiplatelet therapy with aspirin and clopidogrel. METHODS Sixty patients with angiographically-confirmed drug eluting stent (DES)-ISR within 12 months post-PCI when on DAPT with aspirin and clopidogrel were retrospectively identified (Cases). Another 60 patients with no documented ISR post-PCI in the study period (Controls) were case-matched for age, gender, ethnicity, diabetes mellitus and estimated glomerular filtration rate value, and were invited for CYP2C19*2 genotyping. The association between presence of the CYP2C19*2 allele and ISR was analysed using the Fisher's Exact test and binary logistic regression. RESULTS Twenty-six (43.3%) cases and 5 (8.3%) controls were carriers of one or two CYP2C19*2 alleles. As to non-carrier status of the CYP2C19*2 allele, 34 (56.7%) cases and 55 (91.7%) controls were identified. The association between CYP2C19*2 carrier status and DES-ISR within one-year post-PCI was statistically significant (p<0.001) in both the univariate and multivariate analysis. CONCLUSIONS The proportion of patients who were carriers of one or two CYP2C19*2 alleles who presented with DES-ISR within one-year post-PCI while on clopidogrel was significantly higher compared to patients with no documented ISR.
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Affiliation(s)
- Sara Osama
- Department of Pharmacy, Faculty of Medicine and Surgery, University of Malta, Msida, Malta
| | - Francesca Wirth
- Department of Pharmacy, Faculty of Medicine and Surgery, University of Malta, Msida, Malta
| | - Graziella Zahra
- Department of Pathology, Molecular Diagnostics Unit, Mater Dei Hospital, Msida, Malta
| | - Christopher Barbara
- Department of Pathology, Molecular Diagnostics Unit, Mater Dei Hospital, Msida, Malta
| | | | - Liberato Camilleri
- Department of Statistics and Operations Research, Faculty of Science, University of Malta, Msida, Malta
| | - Lilian M Azzopardi
- Department of Pharmacy, Faculty of Medicine and Surgery, University of Malta, Msida, Malta
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18
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Establishment of a Pharmacogenetics Service Focused on Optimizing Existing Pharmacogenetic Testing at a Large Academic Health Center. J Pers Med 2020; 10:jpm10040154. [PMID: 33023029 PMCID: PMC7711716 DOI: 10.3390/jpm10040154] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 09/25/2020] [Accepted: 09/27/2020] [Indexed: 01/20/2023] Open
Abstract
Multiple groups have described strategies for clinical implementation of pharmacogenetics (PGx) that often include internal laboratory tests that are specifically developed for their implementation needs. However, many institutions are not able to follow this practice and instead must utilize external laboratories to obtain PGx testing results. As each external laboratory might have different ordering and reporting workflows, consistent reporting and storing of PGx results within the medical record can be a challenge. This might result in patient safety concerns as important PGx information might not be easily identifiable at the point of current or future prescribing. Herein, we describe initial PGx clinical implementation efforts at a large academic medical center, focusing on optimizing three different test ordering workflows and two distinct result reporting strategies. From this, we identified common issues such as variable reporting location and structure of PGx results, as well as duplicate PGx testing. We identified several opportunities to optimize our current processes, including—(1) PGx laboratory stewardship, (2) increasing visibility of PGx tests, and (3) clinician and patient education. Key to the success was the importance of engaging clinician, informatics, and pathology stakeholders, as we developed interventions to improve our PGX implementation processes.
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19
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Lee CR, Thomas CD, Beitelshees AL, Tuteja S, Empey PE, Lee JC, Limdi NA, Duarte JD, Skaar TC, Chen Y, Cook KJ, Coons JC, Dillon C, Franchi F, Giri J, Gong Y, Kreutz RP, McDonough CW, Stevenson JM, Weck KE, Angiolillo DJ, Johnson JA, Stouffer GA, Cavallari LH. Impact of the CYP2C19*17 Allele on Outcomes in Patients Receiving Genotype-Guided Antiplatelet Therapy After Percutaneous Coronary Intervention. Clin Pharmacol Ther 2020; 109:705-715. [PMID: 32897581 DOI: 10.1002/cpt.2039] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 08/18/2020] [Indexed: 01/03/2023]
Abstract
Genotyping for CYP2C19 no function alleles to guide antiplatelet therapy after percutaneous coronary intervention (PCI) improves clinical outcomes. Although results for the increased function CYP2C19*17 allele are also reported, its clinical relevance in this setting remains unclear. A collaboration across nine sites examined antiplatelet therapy prescribing and clinical outcomes in 3,342 patients after implementation of CYP2C19-guided antiplatelet therapy. Risk of major atherothrombotic and bleeding events over 12 months after PCI were compared across cytochrome P450 2C19 isozyme (CYP2C19) metabolizer phenotype and antiplatelet therapy groups by proportional hazards regression. Clopidogrel was prescribed to a similar proportion of CYP2C19 normal (84.5%), rapid (82.9%), and ultrarapid metabolizers (80.6%) (P = 0.360). Clopidogrel-treated normal metabolizers (20.4 events/100 patient-years; adjusted hazard ratio (HR) 1.00, 95% confidence interval (CI), 0.75-1.33, P = 0.993) and clopidogrel-treated rapid or ultrarapid metabolizers (19.1 events/100 patient-years; adjusted HR 0.95, 95% CI, 0.69-1.30, P = 0.734) exhibited no difference in major atherothrombotic events compared with patients treated with prasugrel or ticagrelor (17.6 events/100 patient-years). In contrast, clopidogrel-treated intermediate and poor metabolizers exhibited significantly higher atherothrombotic event risk compared with prasugrel/ticagrelor-treated patients (adjusted HR 1.56, 95% CI, 1.12-2.16, P = 0.008). When comparing clopidogrel-treated rapid or ultrarapid metabolizers to normal metabolizers, no difference in atherothrombotic (adjusted HR 0.97, 95% CI, 0.73-1.29, P = 0.808) or bleeding events (adjusted HR 1.34, 95% CI, 0.83-2.17, P = 0.224) were observed. In a real-world setting of genotype-guided antiplatelet therapy, the CYP2C19*17 allele did not significantly impact post-PCI prescribing decisions or clinical outcomes. These results suggest the CYP2C19 *1/*17 and *17/*17 genotypes have limited clinical utility to guide antiplatelet therapy after PCI.
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Affiliation(s)
- Craig R Lee
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Cameron D Thomas
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | | | - Sony Tuteja
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Philip E Empey
- School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - James C Lee
- Department of Pharmacy Practice, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Nita A Limdi
- University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Julio D Duarte
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Todd C Skaar
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Yiqing Chen
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Kelsey J Cook
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - James C Coons
- School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Chrisly Dillon
- University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Francesco Franchi
- Department of Medicine, Division of Cardiology, University of Florida, Jacksonville, Florida, USA
| | - Jay Giri
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Yan Gong
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Rolf P Kreutz
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Caitrin W McDonough
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - James M Stevenson
- School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Karen E Weck
- Division of Cardiology and McAllister Heart Institute, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Dominick J Angiolillo
- Department of Medicine, Division of Cardiology, University of Florida, Jacksonville, Florida, USA
| | - Julie A Johnson
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - George A Stouffer
- Division of Cardiology and McAllister Heart Institute, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
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20
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Arwood MJ, Dietrich EA, Duong BQ, Smith DM, Cook K, Elchynski A, Rosenberg EI, Huber KN, Nagoshi YL, Wright A, Budd JT, Holland NP, Maska E, Panna D, Elsey AR, Cavallari LH, Wiisanen K, Johnson JA, Gums JG. Design and Early Implementation Successes and Challenges of a Pharmacogenetics Consult Clinic. J Clin Med 2020; 9:E2274. [PMID: 32708920 PMCID: PMC7408871 DOI: 10.3390/jcm9072274] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 07/13/2020] [Accepted: 07/15/2020] [Indexed: 12/13/2022] Open
Abstract
Pharmacogenetic testing (PGT) is increasingly being used as a tool to guide clinical decisions. This article describes the development of an outpatient, pharmacist-led, pharmacogenetics consult clinic within internal medicine, its workflow, and early results, along with successes and challenges. A pharmacogenetics-trained pharmacist encouraged primary care physicians (PCPs) to refer patients who were experiencing side effects/ineffectiveness from certain antidepressants, opioids, and/or proton pump inhibitors. In clinic, the pharmacist confirmed the need for and ordered CYP2C19 and/or CYP2D6 testing, provided evidence-based pharmacogenetic recommendations to PCPs, and educated PCPs and patients on the results. Operational and clinical metrics were analyzed. In two years, 91 referred patients were seen in clinic (mean age 57, 67% women, 91% European-American). Of patients who received PGT, 77% had at least one CYP2C19 and/or CYP2D6 phenotype that would make conventional prescribing unfavorable. Recommendations suggested that physicians change a medication/dose for 59% of patients; excluding two patients lost to follow-up, 87% of recommendations were accepted. Challenges included PGT reimbursement and referral maintenance. High frequency of actionable results suggests physician education on who to refer was successful and illustrates the potential to reduce trial-and-error prescribing. High recommendation acceptance rate demonstrates the pharmacist's effectiveness in providing genotype-guided recommendations, emphasizing a successful pharmacist-physician collaboration.
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Affiliation(s)
- Meghan J. Arwood
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA; (E.A.D.); (B.Q.D.); (D.M.S.); (K.C.); (A.E.); (A.R.E.); (L.H.C.); (K.W.); (J.A.J.); (J.G.G.)
- Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA
| | - Eric A. Dietrich
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA; (E.A.D.); (B.Q.D.); (D.M.S.); (K.C.); (A.E.); (A.R.E.); (L.H.C.); (K.W.); (J.A.J.); (J.G.G.)
| | - Benjamin Q. Duong
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA; (E.A.D.); (B.Q.D.); (D.M.S.); (K.C.); (A.E.); (A.R.E.); (L.H.C.); (K.W.); (J.A.J.); (J.G.G.)
- Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA
| | - D. Max Smith
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA; (E.A.D.); (B.Q.D.); (D.M.S.); (K.C.); (A.E.); (A.R.E.); (L.H.C.); (K.W.); (J.A.J.); (J.G.G.)
- Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA
| | - Kelsey Cook
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA; (E.A.D.); (B.Q.D.); (D.M.S.); (K.C.); (A.E.); (A.R.E.); (L.H.C.); (K.W.); (J.A.J.); (J.G.G.)
- Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA
| | - Amanda Elchynski
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA; (E.A.D.); (B.Q.D.); (D.M.S.); (K.C.); (A.E.); (A.R.E.); (L.H.C.); (K.W.); (J.A.J.); (J.G.G.)
- Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA
| | - Eric I. Rosenberg
- Division of General Internal Medicine, College of Medicine, University of Florida, 1329 SW 16th St, Gainesville, FL 32608, USA; (E.I.R.); (K.N.H.); (Y.L.N.); (A.W.); (J.T.B.); (N.P.H.); (E.M.); (D.P.)
| | - Katherine N. Huber
- Division of General Internal Medicine, College of Medicine, University of Florida, 1329 SW 16th St, Gainesville, FL 32608, USA; (E.I.R.); (K.N.H.); (Y.L.N.); (A.W.); (J.T.B.); (N.P.H.); (E.M.); (D.P.)
| | - Ying L. Nagoshi
- Division of General Internal Medicine, College of Medicine, University of Florida, 1329 SW 16th St, Gainesville, FL 32608, USA; (E.I.R.); (K.N.H.); (Y.L.N.); (A.W.); (J.T.B.); (N.P.H.); (E.M.); (D.P.)
| | - Ashleigh Wright
- Division of General Internal Medicine, College of Medicine, University of Florida, 1329 SW 16th St, Gainesville, FL 32608, USA; (E.I.R.); (K.N.H.); (Y.L.N.); (A.W.); (J.T.B.); (N.P.H.); (E.M.); (D.P.)
| | - Jeffrey T. Budd
- Division of General Internal Medicine, College of Medicine, University of Florida, 1329 SW 16th St, Gainesville, FL 32608, USA; (E.I.R.); (K.N.H.); (Y.L.N.); (A.W.); (J.T.B.); (N.P.H.); (E.M.); (D.P.)
| | - Neal P. Holland
- Division of General Internal Medicine, College of Medicine, University of Florida, 1329 SW 16th St, Gainesville, FL 32608, USA; (E.I.R.); (K.N.H.); (Y.L.N.); (A.W.); (J.T.B.); (N.P.H.); (E.M.); (D.P.)
| | - Edlira Maska
- Division of General Internal Medicine, College of Medicine, University of Florida, 1329 SW 16th St, Gainesville, FL 32608, USA; (E.I.R.); (K.N.H.); (Y.L.N.); (A.W.); (J.T.B.); (N.P.H.); (E.M.); (D.P.)
| | - Danielle Panna
- Division of General Internal Medicine, College of Medicine, University of Florida, 1329 SW 16th St, Gainesville, FL 32608, USA; (E.I.R.); (K.N.H.); (Y.L.N.); (A.W.); (J.T.B.); (N.P.H.); (E.M.); (D.P.)
| | - Amanda R. Elsey
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA; (E.A.D.); (B.Q.D.); (D.M.S.); (K.C.); (A.E.); (A.R.E.); (L.H.C.); (K.W.); (J.A.J.); (J.G.G.)
- Clinical and Translational Science Institute, University of Florida, 2004 Mowry Rd, Gainesville, FL 32610, USA
| | - Larisa H. Cavallari
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA; (E.A.D.); (B.Q.D.); (D.M.S.); (K.C.); (A.E.); (A.R.E.); (L.H.C.); (K.W.); (J.A.J.); (J.G.G.)
- Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA
| | - Kristin Wiisanen
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA; (E.A.D.); (B.Q.D.); (D.M.S.); (K.C.); (A.E.); (A.R.E.); (L.H.C.); (K.W.); (J.A.J.); (J.G.G.)
- Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA
| | - Julie A. Johnson
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA; (E.A.D.); (B.Q.D.); (D.M.S.); (K.C.); (A.E.); (A.R.E.); (L.H.C.); (K.W.); (J.A.J.); (J.G.G.)
- Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA
| | - John G. Gums
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, 1345 Center Dr, Gainesville, FL 32603, USA; (E.A.D.); (B.Q.D.); (D.M.S.); (K.C.); (A.E.); (A.R.E.); (L.H.C.); (K.W.); (J.A.J.); (J.G.G.)
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21
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Duong BQ, Arwood MJ, Hicks JK, Beitelshees AL, Franchi F, Houder JT, Limdi NA, Cook KJ, Owusu Obeng A, Petry N, Tuteja S, Elsey AR, Cavallari LH, Wiisanen K. Development of Customizable Implementation Guides to Support Clinical Adoption of Pharmacogenomics: Experiences of the Implementing GeNomics In pracTicE (IGNITE) Network. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2020; 13:217-226. [PMID: 32765043 PMCID: PMC7373415 DOI: 10.2147/pgpm.s241599] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 05/08/2020] [Indexed: 12/13/2022]
Abstract
Introduction Clinical adoption of genomic medicine has lagged behind the pace of scientific discovery. Practice-based resources can help overcome implementation challenges. Methods In 2015, the IGNITE (Implementing GeNomics In pracTicE) Network created an online genomic medicine implementation resource toolbox that was expanded in 2017 to incorporate the ability for users to create targeted implementation guides. This expansion was led by a multidisciplinary team that developed an evidence-based, structured framework for the guides, oversaw the technical process/build, and pilot tested the first guide, CYP2C19-Clopidogrel Testing Implementation. Results Sixty-five resources were collected from 12 institutions and categorized according to a seven-step implementation framework for the pilot CYP2C19-Clopidogrel Testing Implementation Guide. Five months after its launch, 96 CYP2C19-Clopidogrel Testing Implementation Guides had been created. Eighty percent of the resources most frequently selected by users were created by IGNITE to fill an identified resource gap. Resources most often included in guides were from the test reimbursement (22%), Implementation support gathering (22%), EHR integration (17%), and genetic testing workflow steps (17%). Conclusion Lessons learned from this implementation guide development process provide insight for prioritizing development of future resources and support the value of collaborative efforts to create resources for genomic medicine implementation.
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Affiliation(s)
- Benjamin Q Duong
- Department of Precision Medicine, Nemours/Alfred I. DuPont Hospital for Children, Wilmington, DE, USA
| | - Meghan J Arwood
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics & Precision Medicine, University of Florida College of Pharmacy, Gainesville, FL, USA
| | - J Kevin Hicks
- Department of Individualized Cancer Management, Moffitt Cancer Center, Tampa, FL, USA
| | - Amber L Beitelshees
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Francesco Franchi
- Department of Cardiology, University of Florida College of Medicine, Jacksonville, FL, USA
| | - John T Houder
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics & Precision Medicine, University of Florida College of Pharmacy, Gainesville, FL, USA
| | - Nita A Limdi
- University of Alabama School at Birmingham, Birmingham, AL, USA
| | - Kelsey J Cook
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Jacksonville, FL, USA.,Department of Precision Medicine, Nemours Children's Specialty Care, Jacksonville, FL, USA
| | - Aniwaa Owusu Obeng
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Natasha Petry
- Department of Pharmacy Practice, North Dakota State University College of Health Professions, Fargo, ND, USA
| | - Sony Tuteja
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amanda R Elsey
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics & Precision Medicine, University of Florida College of Pharmacy, Gainesville, FL, USA
| | - Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics & Precision Medicine, University of Florida College of Pharmacy, Gainesville, FL, USA
| | - Kristin Wiisanen
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics & Precision Medicine, University of Florida College of Pharmacy, Gainesville, FL, USA
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22
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Marrero RJ, Cicali EJ, Arwood MJ, Eddy E, DeRemer D, Ramnaraign BH, Daily KC, Jones D, Cook KJ, Cavallari LH, Wiisanen Weitzel K, Langaee T, Newsom KJ, Starostik P, Clare-Salzer MJ, Johnson JA, George TJ, Cooper-DeHoff RM. How to Transition from Single-Gene Pharmacogenetic Testing to Preemptive Panel-Based Testing: A Tutorial. Clin Pharmacol Ther 2020; 108:557-565. [PMID: 32460360 DOI: 10.1002/cpt.1912] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 05/08/2020] [Indexed: 12/14/2022]
Abstract
There have been significant advancements in precision medicine and approaches to medication selection based on pharmacogenetic results. With the availability of direct-to-consumer genetic testing and growing awareness of genetic interindividual variability, patient demand for more precise, individually tailored drug regimens is increasing. The University of Florida (UF) Health Precision Medicine Program (PMP) was established in 2011 to improve integration of genomic data into clinical practice. In the ensuing years, the UF Health PMP has successfully implemented several single-gene tests to optimize the precision of medication prescribing across a variety of clinical settings. Most recently, the UF Health PMP launched a custom-designed pharmacogenetic panel, including pharmacogenes relevant to supportive care medications commonly prescribed to patients undergoing chemotherapy treatment, referred to as "GatorPGx." This tutorial provides guidance and information to institutions on how to transition from the implementation of single-gene pharmacogenetic testing to a preemptive panel-based testing approach. Here, we demonstrate application of the preemptive panel in the setting of an adult solid tumor oncology clinic. Importantly, the information included herein can be applied to other clinical practice settings.
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Affiliation(s)
- Richard J Marrero
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Emily J Cicali
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, Florida, USA.,Center for Pharmacogenomics and Precision Medicine, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Meghan J Arwood
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, Florida, USA.,Center for Pharmacogenomics and Precision Medicine, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Elizabeth Eddy
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, Florida, USA.,Center for Pharmacogenomics and Precision Medicine, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - David DeRemer
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, Florida, USA.,Center for Pharmacogenomics and Precision Medicine, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | | | - Karen C Daily
- University of Florida Health Cancer Center, Gainesville, Florida, USA
| | - Dennie Jones
- University of Florida Health Cancer Center, Gainesville, Florida, USA
| | - Kelsey J Cook
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, Florida, USA.,Center for Pharmacogenomics and Precision Medicine, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Kristin Wiisanen Weitzel
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, Florida, USA.,Center for Pharmacogenomics and Precision Medicine, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Taimour Langaee
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, Florida, USA.,Center for Pharmacogenomics and Precision Medicine, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Kimberly J Newsom
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Petr Starostik
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Michael J Clare-Salzer
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Julie A Johnson
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, Florida, USA.,Center for Pharmacogenomics and Precision Medicine, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Thomas J George
- University of Florida Health Cancer Center, Gainesville, Florida, USA
| | - Rhonda M Cooper-DeHoff
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, Florida, USA.,Center for Pharmacogenomics and Precision Medicine, University of Florida College of Pharmacy, Gainesville, Florida, USA
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23
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Elsayed NA, Yamamoto KM, Froehlich TE. Genetic Influence on Efficacy of Pharmacotherapy for Pediatric Attention-Deficit/Hyperactivity Disorder: Overview and Current Status of Research. CNS Drugs 2020; 34:389-414. [PMID: 32133580 PMCID: PMC8083895 DOI: 10.1007/s40263-020-00702-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Multiple stimulant and non-stimulant medications are approved for the treatment of attention-deficit/hyperactivity disorder (ADHD), one of the most prevalent childhood neurodevelopmental disorders. Choosing among the available agents and determining the most effective ADHD medication for a given child can be a time-consuming process due to the high inter-individual variability in treatment efficacy. As a result, there is growing interest in identifying predictors of ADHD medication response in children through the burgeoning field of pharmacogenomics. This article reviews childhood ADHD pharmacogenomics efficacy studies published during the last decade (2009-2019), which have largely focused on pharmacodynamic candidate gene investigations of methylphenidate and atomoxetine response, with a smaller number investigating pharmacokinetic candidate genes and genome-wide approaches. Findings from studies which have advanced the field of ADHD pharmacogenomics through investigation of meta-analytic approaches and gene-gene interactions are also overviewed. Despite recent progress, no one genetic variant or currently available pharmacogenomics test has demonstrated clinical utility in pinpointing the optimal ADHD medication for a given individual patient, highlighting the need for further investigation.
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Affiliation(s)
- Nada A Elsayed
- Division of Developmental and Behavioral Pediatrics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 4002, Cincinnati, OH, 45229, USA
- Department of Gynecology and Obstetrics, Integrated Research Center for Fetal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kaila M Yamamoto
- Division of Developmental and Behavioral Pediatrics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 4002, Cincinnati, OH, 45229, USA
| | - Tanya E Froehlich
- Division of Developmental and Behavioral Pediatrics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 4002, Cincinnati, OH, 45229, USA.
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
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24
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Abstract
Pregnant women frequently take prescription and over the counter medications. The efficacy of medications is affected by the many physiological changes during pregnancy, and these events may be further impacted by genetic factors. Research on pharmacogenomic and pharmacokinetic influences on drug disposition during pregnancy has lagged behind other fields. Clinical investigators have demonstrated altered activity of several drug metabolizing enzymes during pregnancy. Emerging evidence also supports the influence of pharmacogenomic variability in drug response for many important classes of drugs commonly used in pregnancy. Prescribing medications during pregnancy requires an understanding of the substantial dynamic physiologic and metabolic changes that occur during gestation. Pharmacogenomics also contributes to the inter-individual variability in response to many medications, and more research is needed to understand how best to manage drug therapy in pregnant women.
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Affiliation(s)
- Hannah K Betcher
- Department of Psychiatry, Northwestern University Feinberg School of Medicine, 676N St. Clair St. Ste 1000, Chicago IL, USA; Mayo Clinic, Rochester, MN, USA.
| | - Alfred L George
- Department of Pharmacology and Center for Pharmacogenomics, Northwestern University Feinberg School of Medicine, Searle 8-510, 320 East Superior Street, Chicago, IL 60611, USA.
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25
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Aquilante CL, Kao DP, Trinkley KE, Lin CT, Crooks KR, Hearst EC, Hess SJ, Kudron EL, Lee YM, Liko I, Lowery J, Mathias RA, Monte AA, Rafaels N, Rioth MJ, Roberts ER, Taylor MR, Williamson C, Barnes KC. Clinical implementation of pharmacogenomics via a health system-wide research biobank: the University of Colorado experience. Pharmacogenomics 2020; 21:375-386. [PMID: 32077359 PMCID: PMC7226704 DOI: 10.2217/pgs-2020-0007] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
In recent years, the genomics community has witnessed the growth of large research biobanks, which collect DNA samples for research purposes. Depending on how and where the samples are genotyped, biobanks also offer the potential opportunity to return actionable genomic results to the clinical setting. We developed a preemptive clinical pharmacogenomic implementation initiative via a health system-wide research biobank at the University of Colorado. Here, we describe how preemptive return of clinical pharmacogenomic results via a research biobank is feasible, particularly when coupled with strong institutional support to maximize the impact and efficiency of biobank resources, a multidisciplinary implementation team, automated clinical decision support tools, and proactive strategies to engage stakeholders early in the clinical decision support tool development process.
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Affiliation(s)
- Christina L Aquilante
- Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA.,Department of Pharmaceutical Sciences, University of Colorado Skaggs School of Pharmacy & Pharmaceutical Sciences, Aurora, CO 80045, USA
| | - David P Kao
- Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Katy E Trinkley
- Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA.,Department of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy & Pharmaceutical Sciences, Aurora, CO 80045, USA
| | - Chen-Tan Lin
- Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA.,University of Colorado Health, Aurora, CO 80045, USA
| | - Kristy R Crooks
- Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | | | - Steven J Hess
- University of Colorado Health, Aurora, CO 80045, USA
| | - Elizabeth L Kudron
- Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Yee Ming Lee
- Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA.,Department of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy & Pharmaceutical Sciences, Aurora, CO 80045, USA
| | - Ina Liko
- Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA.,Department of Pharmaceutical Sciences, University of Colorado Skaggs School of Pharmacy & Pharmaceutical Sciences, Aurora, CO 80045, USA
| | - Jan Lowery
- Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Rasika A Mathias
- Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Andrew A Monte
- Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Nicholas Rafaels
- Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Matthew J Rioth
- Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Emily R Roberts
- Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Matthew Rg Taylor
- Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | | | - Kathleen C Barnes
- Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
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26
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Herr TM, Peterson JF, Rasmussen LV, Caraballo PJ, Peissig PL, Starren JB. Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network. J Am Med Inform Assoc 2020; 26:143-148. [PMID: 30590574 DOI: 10.1093/jamia/ocy156] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Accepted: 11/05/2018] [Indexed: 11/12/2022] Open
Abstract
To better understand the real-world effects of pharmacogenomic (PGx) alerts, this study aimed to characterize alert design within the eMERGE Network, and to establish a method for sharing PGx alert response data for aggregate analysis. Seven eMERGE sites submitted design details and established an alert logging data dictionary. Six sites participated in a pilot study, sharing alert response data from their electronic health record systems. PGx alert design varied, with some consensus around the use of active, post-test alerts to convey Clinical Pharmacogenetics Implementation Consortium recommendations. Sites successfully shared response data, with wide variation in acceptance and follow rates. Results reflect the lack of standardization in PGx alert design. Standards and/or larger studies will be necessary to fully understand PGx impact. This study demonstrated a method for sharing PGx alert response data and established that variation in system design is a significant barrier for multi-site analyses.
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Affiliation(s)
- Timothy M Herr
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Josh F Peterson
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Luke V Rasmussen
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Pedro J Caraballo
- Department of Medicine and Center for Translational Informatics and Knowledge Management, Mayo Clinic, Rochester, Minnesota, USA
| | - Peggy L Peissig
- Biomedical Informatics Research Center, Marshfield Clinic Research Foundation, Marshfield, Wisconsin, USA
| | - Justin B Starren
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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27
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Elewa H, Awaisu A. Pharmacogenomics In Pharmacy Practice: Current Perspectives. INTEGRATED PHARMACY RESEARCH AND PRACTICE 2019; 8:97-104. [PMID: 31807435 PMCID: PMC6850702 DOI: 10.2147/iprp.s180154] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Accepted: 11/01/2019] [Indexed: 01/07/2023] Open
Abstract
Pharmacogenomics (i.e., the application of genetic information in predicting an individual's response to drug therapy) plays an increasingly important role in drug development and decision-making regarding precision medicine. This has been shown to reduce the risk of adverse events and improve patient health-care outcomes through targeted therapies and dosing. As the field of pharmacogenomics rapidly evolves, the role of pharmacists in the education, implementation, and research applications of pharmacogenomics is becoming increasingly recognized. This paper aims to provide an overview and current perspectives of pharmacogenomics in contemporary clinical pharmacy practice and to discuss the future directions on advancing pharmacogenomics education, application, and research in pharmacy practice.
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Affiliation(s)
- Hazem Elewa
- College of Pharmacy, Qatar University Health, Qatar University, Doha, Qatar
| | - Ahmed Awaisu
- College of Pharmacy, Qatar University Health, Qatar University, Doha, Qatar
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Nguyen KA, Patel H, Haggstrom DA, Zillich AJ, Imperiale TF, Russ AL. Utilizing a user-centered approach to develop and assess pharmacogenomic clinical decision support for thiopurine methyltransferase. BMC Med Inform Decis Mak 2019; 19:194. [PMID: 31623616 PMCID: PMC6798472 DOI: 10.1186/s12911-019-0919-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 09/20/2019] [Indexed: 11/10/2022] Open
Abstract
Background A pharmacogenomic clinical decision support tool (PGx-CDS) for thiopurine medications can help physicians incorporate pharmacogenomic results into prescribing decisions by providing up-to-date, real-time decision support. However, the PGx-CDS user interface may introduce errors and promote alert fatigue. The objective of this study was to develop and evaluate a prototype of a PGx-CDS user interface for thiopurine medications with user-centered design methods. Methods This study had two phases: In phase I, we conducted qualitative interviews to assess providers’ information needs. Interview transcripts were analyzed through a combination of inductive and deductive qualitative analysis to develop design requirements for a PGx-CDS user interface. Using these requirements, we developed a user interface prototype and evaluated its usability (phase II). Results In total, 14 providers participated: 10 were interviewed in phase I, and seven providers completed usability testing in phase II (3 providers participated in both phases). Most (90%) participants were interested in PGx-CDS systems to help improve medication efficacy and patient safety. Interviews yielded 11 themes sorted into two main categories: 1) health care providers’ views on PGx-CDS and 2) important design features for PGx-CDS. We organized these findings into guidance for PGx-CDS content and display. Usability testing of the PGx-CDS prototype showed high provider satisfaction. Conclusion This is one of the first studies to utilize a user-centered design approach to develop and assess a PGx-CDS interface prototype for Thiopurine Methyltransferase (TPMT). This study provides guidance for the development of a PGx-CDS, and particularly for biomarkers such as TPMT.
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Affiliation(s)
- Khoa A Nguyen
- Department of Pharmacotherapy and Translational Research, University of Florida, College of Pharmacy, 1225 Center Drive, Gainesville, FL, 32610, USA. .,Center for Health Services Research, Regenstrief Institute Inc., 1101 W 10th St, Indianapolis, IN, USA. .,Center for Health Information and Communication, Department of Veterans Affairs (VA), Veterans Health Administration, Health Services Research and Development Service (CIN 13-416), Richard L. Roudebush VA Medical Center, 1481 W 10th St, Indianapolis, IN, 46202, USA. .,Department of Pharmacy Practice, College of Pharmacy, Purdue University, 640 Eskenazi Avenue, Indianapolis, IN, USA.
| | - Himalaya Patel
- Center for Health Information and Communication, Department of Veterans Affairs (VA), Veterans Health Administration, Health Services Research and Development Service (CIN 13-416), Richard L. Roudebush VA Medical Center, 1481 W 10th St, Indianapolis, IN, 46202, USA
| | - David A Haggstrom
- Center for Health Services Research, Regenstrief Institute Inc., 1101 W 10th St, Indianapolis, IN, USA.,Center for Health Information and Communication, Department of Veterans Affairs (VA), Veterans Health Administration, Health Services Research and Development Service (CIN 13-416), Richard L. Roudebush VA Medical Center, 1481 W 10th St, Indianapolis, IN, 46202, USA.,Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Alan J Zillich
- Department of Pharmacy Practice, College of Pharmacy, Purdue University, 640 Eskenazi Avenue, Indianapolis, IN, USA
| | - Thomas F Imperiale
- Center for Health Services Research, Regenstrief Institute Inc., 1101 W 10th St, Indianapolis, IN, USA.,Center for Health Information and Communication, Department of Veterans Affairs (VA), Veterans Health Administration, Health Services Research and Development Service (CIN 13-416), Richard L. Roudebush VA Medical Center, 1481 W 10th St, Indianapolis, IN, 46202, USA.,Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Alissa L Russ
- Center for Health Information and Communication, Department of Veterans Affairs (VA), Veterans Health Administration, Health Services Research and Development Service (CIN 13-416), Richard L. Roudebush VA Medical Center, 1481 W 10th St, Indianapolis, IN, 46202, USA.,Department of Pharmacy Practice, College of Pharmacy, Purdue University, 640 Eskenazi Avenue, Indianapolis, IN, USA
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Natasha Petry, Baye J, Aifaoui A, Wilke RA, Lupu RA, Savageau J, Gapp B, Massmann A, Hahn D, Hajek C, Schultz A. Implementation of wide-scale pharmacogenetic testing in primary care. Pharmacogenomics 2019; 20:903-913. [DOI: 10.2217/pgs-2019-0043] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
The convergence of translational genomics and biomedical informatics has changed healthcare delivery. Institutional consortia have begun implementing lab testing and decision support for drug–gene interactions. Aggregate datasets are now revealing the impact of clinical decision support for drug–gene interactions. Given the pleiotropic nature of pharmacogenes, interdisciplinary teams and robust clinical decision support tools must exist within an informatics framework built to be flexible and capable of cross-talk between clinical specialties. Navigation of the challenges presented with the implementation of five steps to build a genetics program infrastructure requires the expertise of multiple healthcare professionals. Ultimately, this manuscript describes our efforts to place pharmacogenomics in the hands of the primary care provider integrating this information into a patient’s healthcare over their lifetime.
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Affiliation(s)
- Natasha Petry
- Sanford Health Imagenetics, Sioux Falls, SD 57105, USA
- North Dakota State University College of Health Professions Department of Pharmacy Practice, Fargo, ND 58108, USA
| | - Jordan Baye
- Sanford Health Imagenetics, Sioux Falls, SD 57105, USA
- North Dakota State University College of Health Professions Department of Pharmacy Practice, Fargo, ND 58108, USA
- South Dakota State University College of Pharmacy & Allied Health Professions, Department of Pharmacy Practice, Brookings, SD 57007, USA
| | - Aissa Aifaoui
- Sanford Health Imagenetics, Sioux Falls, SD 57105, USA
| | - Russell A Wilke
- Sanford Health Department of Internal Medicine, Sioux Falls, SD 57105, USA
- University of South Dakota, Sanford School of Medicine, Department of Internal Medicine, Sioux Falls, SD 57105, USA
| | - Roxana A Lupu
- Sanford Health Department of Internal Medicine, Sioux Falls, SD 57105, USA
- University of South Dakota, Sanford School of Medicine, Department of Internal Medicine, Sioux Falls, SD 57105, USA
| | - John Savageau
- Sanford Health Bismarck – Department of Pharmacy, Bismarck, ND 58501 USA
| | - Britni Gapp
- Sanford Health Bismarck – Department of Pharmacy, Bismarck, ND 58501 USA
| | | | - Deidre Hahn
- North Dakota State University College of Health Professions Department of Pharmacy Practice, Fargo, ND 58108, USA
| | - Catherine Hajek
- Sanford Health Imagenetics, Sioux Falls, SD 57105, USA
- University of South Dakota, Sanford School of Medicine, Department of Internal Medicine, Sioux Falls, SD 57105, USA
| | - April Schultz
- Sanford Health Imagenetics, Sioux Falls, SD 57105, USA
- University of South Dakota, Sanford School of Medicine, Department of Internal Medicine, Sioux Falls, SD 57105, USA
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Alshabeeb MA, Deneer VHM, Khan A, Asselbergs FW. Use of Pharmacogenetic Drugs by the Dutch Population. Front Genet 2019; 10:567. [PMID: 31312209 PMCID: PMC6614185 DOI: 10.3389/fgene.2019.00567] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 05/29/2019] [Indexed: 12/27/2022] Open
Abstract
Introduction The Dutch Pharmacogenetics Working Group (DPWG) indicated a list of actionable genotypes that affect patients’ response to more 50 drugs; these drugs which show variable effects based on patients’ genetic traits were named as pharmacogenetics (PGX) drugs. Preemptive genetic testing before using these drugs may protect certain patients from serious adverse reactions and could help in avoiding treatment failures. The objectives of this study include identifying the rate of PGX drug usage among Dutch population, estimating the level of users who carry the actionable genotypes and determining the main genes involved in drug’s effect variability. Methods Usage of PGX drugs over 2011–2017 by the insured population (an average of 11.4 million) in outpatient clinics in Netherlands was obtained from the publically available GIP databank. The data of 45 drugs were analyzed and their interactions with selected pharmacogenes were estimated. Frequency of actionable genotypes of 249 Dutch parents was obtained from the public database: Genome of Netherlands (GoNL), to identify the pattern of genetic characteristics of Dutch population. Results Over a 7 year period, 51.3 million exposures of patients to PGX drugs were reported with an average of 5.3 exposures per each drug user. One quarterof the exposures (12.4 million) are predicted to be experienced by individuals with actionable genotypes (risky exposures). Up to 60% of the risky exposures (around 7.5 million) were related to drugs metabolized by CYP2D6. SLCO1B1, and CYP2C19 were also identified among the top genes affecting response of drugs users (involved in about 22 and 12.4% of the risky exposures, respectively). Cardiovascular medications were the top prescribed PGX drug class (43%), followed by gastroenterology (29%) and psychiatry/neurology medications (15%). Women use more PGX drugs than men (55.8 vs. 44.2%, respectively) with the majority (84%) of users in both sexes are above 45 years. Conclusion PGX drugs are commonly used in Netherlands. Preemptive panel testing for CYP2D6, SLCO1B1, and CYP2C19 only could be useful to predict 95% of vulnerable patients’ exposures to PGX drugs. Future studies to assess the economic impact of preemptive panel testing on patients of older age are suggested.
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Affiliation(s)
- Mohammad A Alshabeeb
- Medical Genomics Research Department, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.,King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.,Division Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Vera H M Deneer
- Department of Clinical Pharmacy, University Medical Center Utrecht, Utrecht, Netherlands
| | - Amjad Khan
- Medical Genomics Research Department, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.,King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Folkert W Asselbergs
- Division Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.,Faculty of Population Health Sciences, Institute of Cardiovascular Science, University College London, London, United Kingdom.,Health Data Research UK and Institute of Health Informatics, University College London, London, United Kingdom
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Zhang XG, Zhu XQ, Xue J, Li ZZ, Jiang HY, Hu L, Yue YH. Personalised antiplatelet therapy based on pharmacogenomics in acute ischaemic minor stroke and transient ischaemic attack: study protocol for a randomised controlled trial. BMJ Open 2019; 9:e028595. [PMID: 31123001 PMCID: PMC6538075 DOI: 10.1136/bmjopen-2018-028595] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Revised: 04/06/2019] [Accepted: 04/08/2019] [Indexed: 01/16/2023] Open
Abstract
INTRODUCTION Antiplatelet therapy combining aspirin and clopidogrel is considered to be a key intervention for acute ischaemic minor stroke (AIMS) and transient ischaemic attack (TIA). However, the interindividual variability in response to clopidogrel resulting from the polymorphisms in clopidogrel metabolism-related genes has greatly limited its efficacy. To date, there are no reports on individualised antiplatelet therapy for AIMS and TIA based on the genetic testing and clinical features. Therefore, we conduct this randomised controlled trial to validate the hypothesis that the individualised antiplatelet therapy selected on the basis of a combination of genetic information and clinical features would lead to better clinical outcomes compared with the standard care based only on clinical features in patients with AIMS or TIA. METHODS AND ANALYSIS This trial will recruit 2382 patients with AIMS or TIA who meet eligibility criteria. Patients are randomly assigned in a 1:1 ratio to pharmacogenetic group and standard group. Both groups receive a loading dose of 300 mg aspirin and 300 mg clopidogrel on day 1, followed by 100 mg aspirin per day on days 2-365. The P2Y12 receptor antagonist is selected by the clinician according to the genetic information and clinical features for pharmacogenetic group and clinical features for the standard group on days 2-21. The primary efficacy endpoint is a new stroke event (ischaemic or haemorrhagic) that happens within 1 year. The secondary efficacy endpoint is analysed as the individual or composite outcomes of the new clinical vascular event (ischaemic stroke, haemorrhagic stroke, myocardial infarction or vascular death). Baseline characteristics and outcomes after treatment will be evaluated. ETHICS AND DISSEMINATION This protocol has been approved by the ethics committee of Yangpu Hospital, Tongji University School of Medicine (No. LL-2018-KY-012). We will submit the results of this trial for publication in a peer-reviewed journal. TRIAL REGISTRATION NUMBER ChiCTR1800019911; Pre-results.
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Affiliation(s)
- Xiao-Guang Zhang
- Department of Neurology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xiao-Qiong Zhu
- Department of Neurology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jie Xue
- Department of Neurology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
| | - Zhi-Zhang Li
- Department of Neurology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
| | - Hua-Yu Jiang
- Department of Neurology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
| | - Liang Hu
- Department of Neurology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yun-Hua Yue
- Department of Neurology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
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FARMAPRICE: A Pharmacogenetic Clinical Decision Support System for Precise and Cost-Effective Therapy. Genes (Basel) 2019; 10:genes10040276. [PMID: 30987397 PMCID: PMC6523070 DOI: 10.3390/genes10040276] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 03/26/2019] [Accepted: 04/01/2019] [Indexed: 01/02/2023] Open
Abstract
Pharmacogenetic (PGx) guidelines for the precise dosing and selection of drugs remain poorly implemented in current clinical practice. Among the barriers to the implementation process is the lack of clinical decision support system (CDSS) tools to aid health providers in managing PGx information in the clinical context. The present study aimed to describe the first Italian endeavor to develop a PGx CDSS, called FARMAPRICE. FARMAPRICE prototype was conceived for integration of patient molecular data into the clinical prescription process in the Italian Centro di Riferimento Oncologico (CRO)-Aviano Hospital. It was developed through a coordinated partnership between two high-tech companies active in the computerization of the Italian healthcare system. Introducing FARMAPRICE into the clinical setting can aid physicians in prescribing the most efficacious and cost-effective pharmacological therapy available.
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Roses SM, Christianson T, Dombrowski K. Acute Respiratory Distress Syndrome Associated With Clopidogrel in a Young Male Patient. Front Med (Lausanne) 2019; 6:38. [PMID: 30906739 PMCID: PMC6419477 DOI: 10.3389/fmed.2019.00038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Accepted: 02/11/2019] [Indexed: 11/16/2022] Open
Abstract
Background: Clopidogrel is a commonly prescribed antiplatelet drug in patients with stents and histories of arterial vascular disease. It generally has a favorable side effect profile with increasing bleeding risk as the main concern as an adverse event. Case Presentation: A 19-year-old previously healthy male presented to the neurological intensive care unit with a subarachnoid hemorrhage requiring a flow diverting stent to secure the aneurysm. The patient was stable for 2 weeks and had no changes to management or medication within 48 h of antiplatelet therapy. Within hours of first-time dosing of clopidogrel, the patient experienced a syncopal episode and dyspnea. He was difficult to arouse and using accessory muscles to breath with an otherwise benign exam. He was hypoxic with bibasilar crackles requiring bilevel positive airway pressure (BiPap). Imaging showed bilateral pulmonary edema and he was diagnosed with moderate acute respiratory distress syndrome (ARDS). Infectious, cardiogenic, and contrast-induced ARDS were ruled out. Upon cessation of clopidogrel, his pulmonary function and mental status improved. Conclusions: This is the first reported case of a young and immunocompetent patient's severe pulmonary edema leading to acute respiratory distress syndrome in association with first- time dosing of clopidogrel.
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Affiliation(s)
| | | | - Keith Dombrowski
- Department of Neurology, Duke University, Durham, NC, United States
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Cavallari LH, Obeng AO. Genetic Determinants of P2Y 12 Inhibitors and Clinical Implications. Interv Cardiol Clin 2018; 6:141-149. [PMID: 27886818 DOI: 10.1016/j.iccl.2016.08.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
There is significant interpatient variability in clopidogrel effectiveness, which is due in part to cytochrome P450 (CYP) 2C19 genotype. Approximately 30% of individuals carry CYP2C19 loss-of-function alleles, which have been consistently shown to reduce clopidogrel effectiveness after an acute coronary syndrome and percutaneous coronary intervention. Guidelines recommend consideration of prasugrel or ticagrelor in these patients. A clinical trial examining outcomes with CYP2C19 genotype-guided antiplatelet therapy is ongoing. In the meantime, based on the evidence available to date, several institutions have started clinically implementing CYP2C19 genotyping to assist with antiplatelet selection after percutaneous coronary intervention.
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Affiliation(s)
- Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics, University of Florida, 1333 Center Drive, PO Box 100486, Gainesville, FL 32610, USA.
| | - Aniwaa Owusu Obeng
- Division of General Internal Medicine, Department of Medicine, The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, USA; Department of Pharmacy, The Mount Sinai Hospital, New York, NY, USA
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Chambliss AB, Marzinke MA. Clinical Pharmacogenetics for Precision Medicine: Successes and Setbacks. J Appl Lab Med 2018; 3:474-486. [PMID: 33636912 DOI: 10.1373/jalm.2017.023127] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Accepted: 06/05/2018] [Indexed: 11/06/2022]
Abstract
BACKGROUND Pharmacogenetics is a key component in the delivery of therapeutics to maximize pharmacologic efficacy and minimize toxicity. There are numerous identified gene-drug pairs that demonstrate the utility of pharmacogenetics testing for drug or dose selection. Although some of these pairs have translated into clinical use, pharmacogenetic testing has not yet made its way into routine clinical practice at many institutions. CONTENT This review provides an overview of clinically actionable pharmacogenetics in precision medicine. Examples of successfully implemented gene-drug pairs, along with common testing methodologies and guidelines for application, are discussed. Remaining barriers to widespread clinical implementation are also examined. SUMMARY There is a recognized role for genotyping in the guidance of therapeutic drug regimens and the prevention of adverse drug reactions. Evidence-based guidelines are available to aid in the selection of treatment upon pharmacogenetics testing for established gene-drug pairs. Multidisciplinary clinical collaboration and clinical decision support tools will be critical for widespread adoption, and financial reimbursement barriers remain.
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Affiliation(s)
- Allison B Chambliss
- Department of Pathology, Keck School of Medicine of the University of Southern California, Los Angeles, CA
| | - Mark A Marzinke
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD
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Price ET. Pharmacists advancing role in pharmacogenomics. J Am Pharm Assoc (2003) 2018. [DOI: 10.1016/j.japh.2018.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Empey PE, Stevenson JM, Tuteja S, Weitzel KW, Angiolillo DJ, Beitelshees AL, Coons JC, Duarte JD, Franchi F, Jeng LJ, Johnson JA, Kreutz RP, Limdi NA, Maloney KA, Obeng AO, Peterson JF, Petry N, Pratt VM, Rollini F, Scott SA, Skaar TC, Vesely MR, Stouffer GA, Wilke RA, Cavallari LH, Lee CR. Multisite Investigation of Strategies for the Implementation of CYP2C19 Genotype-Guided Antiplatelet Therapy. Clin Pharmacol Ther 2018; 104:664-674. [PMID: 29280137 PMCID: PMC6019555 DOI: 10.1002/cpt.1006] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Revised: 11/27/2017] [Accepted: 12/20/2017] [Indexed: 01/05/2023]
Abstract
CYP2C19 genotype-guided antiplatelet therapy following percutaneous coronary intervention is increasingly implemented in clinical practice. However, challenges such as selecting a testing platform, communicating test results, building clinical decision support processes, providing patient and provider education, and integrating methods to support the translation of emerging evidence to clinical practice are barriers to broad adoption. In this report, we compare and contrast implementation strategies of 12 early adopters, describing solutions to common problems and initial performance metrics for each program. Key differences between programs included the test result turnaround time and timing of therapy changes, which are both related to the CYP2C19 testing model and platform used. Sites reported the need for new informatics infrastructure, expert clinicians such as pharmacists to interpret results, physician champions, and ongoing education. Consensus lessons learned are presented to provide a path forward for those seeking to implement similar clinical pharmacogenomics programs within their institutions.
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Affiliation(s)
- Philip E. Empey
- Department of Pharmacy and Therapeutics, Center for Clinical Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA
| | - James M. Stevenson
- Department of Pharmacy and Therapeutics, Center for Clinical Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA
| | - Sony Tuteja
- Department of Medicine, Division of Translational Medicine and Human Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Kristin W. Weitzel
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, University of Florida, Gainesville, FL
| | - Dominick J. Angiolillo
- Department of Medicine, Division of Cardiology, University of Florida College of Medicine, Jacksonville, FL
| | - Amber L. Beitelshees
- Department of Medicine and Program for Personalized and Genomic Medicine, University of Maryland, Baltimore, MD
| | - James C. Coons
- Department of Pharmacy and Therapeutics, Center for Clinical Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA
| | - Julio D. Duarte
- Department of Pharmacy Practice, University of Illinois at Chicago, Chicago, IL
| | - Francesco Franchi
- Department of Medicine, Division of Cardiology, University of Florida College of Medicine, Jacksonville, FL
| | - Linda J.B. Jeng
- Department of Medicine and Program for Personalized and Genomic Medicine, University of Maryland, Baltimore, MD
| | - Julie A. Johnson
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, University of Florida, Gainesville, FL
| | - Rolf P Kreutz
- Department of Medicine, Krannert Institute of Cardiology, Indiana University School of Medicine, Indianapolis, IN
| | - Nita A. Limdi
- Department of Neurology, University of Alabama at Birmingham, Birmingham AL
| | - Kristin A. Maloney
- Department of Medicine and Program for Personalized and Genomic Medicine, University of Maryland, Baltimore, MD
| | - Aniwaa Owusu Obeng
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai; and Pharmacy Department, The Mount Sinai Hospital, New York, NY
| | - Josh F. Peterson
- Departments of Biomedical Informatics and Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Natasha Petry
- Department of Pharmacy Practice, North Dakota State University, Fargo, ND
| | - Victoria M. Pratt
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Fabiana Rollini
- Department of Medicine, Division of Cardiology, University of Florida College of Medicine, Jacksonville, FL
| | - Stuart A. Scott
- Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY and Sema4, a Mount Sinai venture, Stamford, CT
| | - Todd C. Skaar
- Department of Medicine, Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN
| | - Mark R. Vesely
- Department of Medicine and Program for Personalized and Genomic Medicine, University of Maryland, Baltimore, MD
| | - George A. Stouffer
- Division of Cardiology, School of Medicine and McAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Russell A. Wilke
- Department of Internal Medicine, University of South Dakota Sanford School of Medicine, Sioux Falls, SD
| | - Larisa H. Cavallari
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, University of Florida, Gainesville, FL
| | - Craig R. Lee
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC
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Mills RA, Eichmeyer JN, Williams LM, Muskett JA, Schmidlen TJ, Maloney KA, Lemke AA. Patient Care Situations Benefiting from Pharmacogenomic Testing. CURRENT GENETIC MEDICINE REPORTS 2018. [DOI: 10.1007/s40142-018-0136-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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Notarangelo FM, Maglietta G, Bevilacqua P, Cereda M, Merlini PA, Villani GQ, Moruzzi P, Patrizi G, Malagoli Tagliazucchi G, Crocamo A, Guidorossi A, Pigazzani F, Nicosia E, Paoli G, Bianchessi M, Comelli MA, Caminiti C, Ardissino D. Pharmacogenomic Approach to Selecting Antiplatelet Therapy in Patients With Acute Coronary Syndromes: The PHARMCLO Trial. J Am Coll Cardiol 2018. [PMID: 29540324 DOI: 10.1016/j.jacc.2018.02.029] [Citation(s) in RCA: 136] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND Although clopidogrel is still frequently used in patients with acute coronary syndromes (ACS), its efficacy is hampered by interpatient response variability caused by genetic polymorphisms associated with clopidogrel's metabolism. OBJECTIVES The goal of this study was to evaluate whether selecting antiplatelet therapy (clopidogrel, prasugrel, or ticagrelor) on the basis of a patient's genetic and clinical characteristics leads to better clinical outcomes compared with the standard of care, which bases the selection on clinical characteristics alone. METHODS Patients hospitalized for ACS were randomly assigned to standard of care or the pharmacogenomic arm, which included the genotyping of ABCB1, CYP2C19*2, and CYP2C19*17 using an ST Q3 system that provides data within 70 min at each patient's bedside. The patients were followed up for 12 ± 1 month for the primary composite endpoint of cardiovascular death and the first occurrence of nonfatal myocardial infarction, nonfatal stroke, and major bleeding defined according to Bleeding Academic Research Consortium type 3 to 5 criteria. RESULTS After enrolling 888 patients, the study was prematurely stopped. Clopidogrel was used more frequently in the standard-of-care arm (50.7% vs. 43.3%), ticagrelor in the pharmacogenomic arm (42.6% vs. 32.7%; p = 0.02), and prasugrel was equally used in both arms. The primary endpoint occurred in 71 patients (15.9%) in the pharmacogenomic arm and in 114 (25.9%) in the standard-of-care arm (hazard ratio: 0.58; 95% confidence interval: 0.43 to 0.78; p < 0.001). CONCLUSIONS A personalized approach to selecting antiplatelet therapy for patients with ACS may reduce ischemic and bleeding events. (Pharmacogenetics of Clopidogrel in Patients With Acute Coronary Syndromes [PHARMCLO]; NCT03347435).
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Affiliation(s)
| | - Giuseppe Maglietta
- Division of Research and Innovation, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy; Department of Statistics, Computer Science, Applications, Università di Firenze, Florence, Italy
| | - Paola Bevilacqua
- Division of Cardiology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Marco Cereda
- ST Microelectronics S.R.L., Agrate Brianza, Monza Brianza, Italy
| | | | | | - Paolo Moruzzi
- Division of Cardiology, Azienda Territoriale di Parma, Fidenza, Italy
| | - Giampiero Patrizi
- Division of Cardiology, Azienda Territoriale di Modena, Carpi, Italy
| | - Guidantonio Malagoli Tagliazucchi
- Division of Cardiology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy; Division of Research and Innovation, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Antonio Crocamo
- Division of Cardiology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Angela Guidorossi
- Division of Cardiology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Filippo Pigazzani
- Division of Cardiology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Elisa Nicosia
- Division of Cardiology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Giorgia Paoli
- Division of Cardiology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Marco Bianchessi
- ST Microelectronics S.R.L., Agrate Brianza, Monza Brianza, Italy
| | | | - Caterina Caminiti
- Division of Research and Innovation, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Diego Ardissino
- Division of Cardiology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy.
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Dunnenberger HM, Biszewski M, Bell GC, Sereika A, May H, Johnson SG, Hulick PJ, Khandekar J. Implementation of a multidisciplinary pharmacogenomics clinic in a community health system. Am J Health Syst Pharm 2018; 73:1956-1966. [PMID: 27864203 DOI: 10.2146/ajhp160072] [Citation(s) in RCA: 88] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
PURPOSE The development and implementation of a multidisciplinary pharmacogenomics clinic within the framework of an established community-based medical genetics program are described. SUMMARY Pharmacogenomics is an important component of precision medicine that holds considerable promise for pharmacotherapy optimization. As part of the development of a health system-wide integrated pharmacogenomics program, in early 2015 Northshore University Health-System established a pharmacogenomics clinic run by a multidisciplinary team including a medical geneticist, a pharmacist, a nurse practitioner, and genetic counselors. The team identified five key program elements: (1) a billable-service provider, (2) a process for documentation of relevant medication and family histories, (3) personnel with the knowledge required to interpret pharmacogenomic results, (4) personnel to discuss risks, benefits, and limitations of pharmacogenomic testing, and (5) a mechanism for reporting results. The most important program component is expert interpretation of genetic test results to provide clinically useful information; pharmacists are well positioned to provide that expertise. At the Northshore University HealthSystem pharmacogenomics clinic, patient encounters typically entail two one-hour visits and follow a standardized workflow. At the first visit, pharmacogenomics-focused medication and family histories are obtained, risks and benefits of genetic testing are explained, and a test sample is collected; at the second visit, test results are provided along with evidence-based pharmacotherapy recommendations. CONCLUSION A multidisciplinary clinic providing genotyping and related services can facilitate the integration of pharmacogenomics into clinical care and meet the needs of early adopters of precision medicine.
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Affiliation(s)
- Henry M Dunnenberger
- Center for Molecular Medicine, NorthShore University HealthSystem, Evanston, IL.
| | - Matthew Biszewski
- Thrombosis and Anticoagulation Unit, NorthShore University HealthSystem, Glenview, IL
| | | | - Annette Sereika
- Center for Molecular Medicine, NorthShore University HealthSystem, Evanston, IL
| | - Holley May
- Center for Medical Genetics, NorthShore University HealthSystem, Evanston, IL
| | | | - Peter J Hulick
- Center for Medical Genetics, NorthShore University HealthSystem, Evanston, IL
| | - Janardan Khandekar
- Center for Molecular Medicine, NorthShore University HealthSystem, Evanston, IL
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Cavallari LH, Lee CR, Duarte JD, Nutescu EA, Weitzel KW, Stouffer GA, Johnson JA. Implementation of inpatient models of pharmacogenetics programs. Am J Health Syst Pharm 2018; 73:1944-1954. [PMID: 27864202 DOI: 10.2146/ajhp150946] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
PURPOSE The operational elements essential for establishing an inpatient pharmacogenetic service are reviewed, and the role of the pharmacist in the provision of genotype-guided drug therapy in pharmacogenetics programs at three institutions is highlighted. SUMMARY Pharmacists are well positioned to assume important roles in facilitating the clinical use of genetic information to optimize drug therapy given their expertise in clinical pharmacology and therapeutics. Pharmacists have assumed important roles in implementing inpatient pharmacogenetics programs. This includes programs designed to incorporate genetic test results to optimize antiplatelet drug selection after percutaneous coronary intervention and personalize warfarin dosing. Pharmacist involvement occurs on many levels, including championing and leading pharmacogenetics implementation efforts, establishing clinical processes to support genotype-guided therapy, assisting the clinical staff with interpreting genetic test results and applying them to prescribing decisions, and educating other healthcare providers and patients on genomic medicine. The three inpatient pharmacogenetics programs described use reactive versus preemptive genotyping, the most feasible approach under the current third-party payment structure. All three sites also follow Clinical Pharmacogenetics Implementation Consortium guidelines for drug therapy recommendations based on genetic test results. CONCLUSION With the clinical emergence of pharmacogenetics into the inpatient setting, it is important that pharmacists caring for hospitalized patients are well prepared to serve as experts in interpreting and applying genetic test results to guide drug therapy decisions. Since genetic test results may not be available until after patient discharge, pharmacists practicing in the ambulatory care setting should also be prepared to assist with genotype-guided drug therapy as part of transitions in care.
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Affiliation(s)
- Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, University of Florida, Gainesville, FL.
| | - Craig R Lee
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC.,Center for Pharmacogenomics and Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Julio D Duarte
- Department of Pharmacy Practice, University of Illinois at Chicago, Chicago, IL.,Personalized Medicine Program, University of Illinois Hospital and Health Science System, Chicago, IL
| | - Edith A Nutescu
- Department of Pharmacy Systems, Outcomes and Policy, University of Illinois at Chicago, Chicago, IL.,Personalized Medicine Program, University of Illinois Hospital and Health Science System, Chicago, IL
| | - Kristin W Weitzel
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, University of Florida, Gainesville, FL
| | - George A Stouffer
- Division of Cardiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Julie A Johnson
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, University of Florida, Gainesville, FL
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Cavallari LH, Lee CR, Beitelshees AL, Cooper-DeHoff RM, Duarte JD, Voora D, Kimmel SE, McDonough CW, Gong Y, Dave CV, Pratt VM, Alestock TD, Anderson RD, Alsip J, Ardati AK, Brott BC, Brown L, Chumnumwat S, Clare-Salzler MJ, Coons JC, Denny JC, Dillon C, Elsey AR, Hamadeh IS, Harada S, Hillegass WB, Hines L, Horenstein RB, Howell LA, Jeng LJB, Kelemen MD, Lee YM, Magvanjav O, Montasser M, Nelson DR, Nutescu EA, Nwaba DC, Pakyz RE, Palmer K, Peterson JF, Pollin TI, Quinn AH, Robinson SW, Schub J, Skaar TC, Smith DM, Sriramoju VB, Starostik P, Stys TP, Stevenson JM, Varunok N, Vesely MR, Wake DT, Weck KE, Weitzel KW, Wilke RA, Willig J, Zhao RY, Kreutz RP, Stouffer GA, Empey PE, Limdi NA, Shuldiner AR, Winterstein AG, Johnson JA. Multisite Investigation of Outcomes With Implementation of CYP2C19 Genotype-Guided Antiplatelet Therapy After Percutaneous Coronary Intervention. JACC Cardiovasc Interv 2017; 11:181-191. [PMID: 29102571 DOI: 10.1016/j.jcin.2017.07.022] [Citation(s) in RCA: 196] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Revised: 07/07/2017] [Accepted: 07/11/2017] [Indexed: 01/14/2023]
Abstract
OBJECTIVES This multicenter pragmatic investigation assessed outcomes following clinical implementation of CYP2C19 genotype-guided antiplatelet therapy after percutaneous coronary intervention (PCI). BACKGROUND CYP2C19 loss-of-function alleles impair clopidogrel effectiveness after PCI. METHODS After clinical genotyping, each institution recommended alternative antiplatelet therapy (prasugrel, ticagrelor) in PCI patients with a loss-of-function allele. Major adverse cardiovascular events (defined as myocardial infarction, stroke, or death) within 12 months of PCI were compared between patients with a loss-of-function allele prescribed clopidogrel versus alternative therapy. Risk was also compared between patients without a loss-of-function allele and loss-of-function allele carriers prescribed alternative therapy. Cox regression was performed, adjusting for group differences with inverse probability of treatment weights. RESULTS Among 1,815 patients, 572 (31.5%) had a loss-of-function allele. The risk for major adverse cardiovascular events was significantly higher in patients with a loss-of-function allele prescribed clopidogrel versus alternative therapy (23.4 vs. 8.7 per 100 patient-years; adjusted hazard ratio: 2.26; 95% confidence interval: 1.18 to 4.32; p = 0.013). Similar results were observed among 1,210 patients with acute coronary syndromes at the time of PCI (adjusted hazard ratio: 2.87; 95% confidence interval: 1.35 to 6.09; p = 0.013). There was no difference in major adverse cardiovascular events between patients without a loss-of-function allele and loss-of-function allele carriers prescribed alternative therapy (adjusted hazard ratio: 1.14; 95% confidence interval: 0.69 to 1.88; p = 0.60). CONCLUSIONS These data from real-world observations demonstrate a higher risk for cardiovascular events in patients with a CYP2C19 loss-of-function allele if clopidogrel versus alternative therapy is prescribed. A future randomized study of genotype-guided antiplatelet therapy may be of value.
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Affiliation(s)
- Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, Florida.
| | - Craig R Lee
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy and McAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | | | - Rhonda M Cooper-DeHoff
- Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, Florida; Department of Medicine, Division of Cardiovascular Medicine, University of Florida, Gainesville, Florida
| | - Julio D Duarte
- Department of Pharmacy Practice, University of Illinois at Chicago College of Pharmacy, Chicago, Illinois
| | - Deepak Voora
- Department of Medicine, Center for Applied Genomics & Precision Medicine, Duke University, Durham, North Carolina
| | - Stephen E Kimmel
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
| | - Caitrin W McDonough
- Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, Florida
| | - Yan Gong
- Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, Florida
| | - Chintan V Dave
- Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, Florida
| | - Victoria M Pratt
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana
| | | | - R David Anderson
- Department of Medicine, Division of Cardiovascular Medicine, University of Florida, Gainesville, Florida
| | - Jorge Alsip
- Division of Cardiovascular Sciences, Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Amer K Ardati
- Department of Medicine, University of Illinois at Chicago College of Medicine, Chicago, Illinois
| | - Brigitta C Brott
- Division of Cardiovascular Sciences, Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Lawrence Brown
- Veterans Administration Medical Center, Baltimore, Maryland
| | - Supatat Chumnumwat
- Department of Pharmacy Practice, University of Illinois at Chicago College of Pharmacy, Chicago, Illinois
| | - Michael J Clare-Salzler
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida
| | - James C Coons
- Department of Pharmacy and Therapeutics, Center for Clinical Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania
| | - Joshua C Denny
- Departments of Biomedical Informatics and Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Chrisly Dillon
- Department of Neurology, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Amanda R Elsey
- Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, Florida
| | - Issam S Hamadeh
- Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, Florida
| | - Shuko Harada
- Department of Pathology and Hugh Kaul Personalized Medicine Institute, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - William B Hillegass
- Heart South Cardiovascular Group, Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama
| | - Lindsay Hines
- Department of Neuropsychology, University of North Dakota, Fargo, North Dakota
| | | | - Lucius A Howell
- Division of Cardiology and McAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Linda J B Jeng
- Department of Medicine, University of Maryland, Baltimore, Maryland
| | - Mark D Kelemen
- Department of Medicine, University of Maryland, Baltimore, Maryland
| | - Yee Ming Lee
- Department of Pharmacy Practice, University of Illinois at Chicago College of Pharmacy, Chicago, Illinois
| | - Oyunbileg Magvanjav
- Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, Florida
| | - May Montasser
- Department of Medicine, University of Maryland, Baltimore, Maryland
| | - David R Nelson
- College of Medicine, Division of Gastroenterology, Hepatology, and Nutrition, University of Florida, Gainesville, Florida
| | - Edith A Nutescu
- Department of Pharmacy Practice, University of Illinois at Chicago College of Pharmacy, Chicago, Illinois; Department of Pharmacy Systems, Outcomes and Policy and Center for Pharmacoepidemiology and Pharmacoeconomic Research, University of Illinois at Chicago College of Pharmacy, Chicago, Illinois
| | - Devon C Nwaba
- Department of Medicine, University of Maryland, Baltimore, Maryland
| | - Ruth E Pakyz
- Department of Medicine, University of Maryland, Baltimore, Maryland
| | - Kathleen Palmer
- Department of Medicine, University of Maryland, Baltimore, Maryland
| | - Josh F Peterson
- Departments of Biomedical Informatics and Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Toni I Pollin
- Department of Medicine, University of Maryland, Baltimore, Maryland
| | - Alison H Quinn
- Department of Pharmacy Practice, University of Illinois at Chicago College of Pharmacy, Chicago, Illinois
| | - Shawn W Robinson
- Department of Medicine, University of Maryland, Baltimore, Maryland; Veterans Administration Medical Center, Baltimore, Maryland
| | - Jamie Schub
- Department of Medicine, University of Maryland, Baltimore, Maryland
| | - Todd C Skaar
- Department of Medicine, Krannert Institute of Cardiology & Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, Indiana
| | - D Max Smith
- Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, Florida
| | - Vindhya B Sriramoju
- Division of Cardiology and McAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Petr Starostik
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida
| | - Tomasz P Stys
- Department of Medicine, University of South Dakota, Sanford School of Medicine, Sioux Falls, South Dakota
| | - James M Stevenson
- Department of Pharmacy and Therapeutics, Center for Clinical Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania
| | - Nicholas Varunok
- Division of Cardiology and McAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Mark R Vesely
- Department of Medicine, University of Maryland, Baltimore, Maryland; Veterans Administration Medical Center, Baltimore, Maryland
| | - Dyson T Wake
- Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, Florida
| | - Karen E Weck
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Kristin W Weitzel
- Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, Florida
| | - Russell A Wilke
- Department of Medicine, University of South Dakota, Sanford School of Medicine, Sioux Falls, South Dakota
| | - James Willig
- Division of Cardiovascular Sciences, Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Richard Y Zhao
- Department of Pathology, University of Maryland School of Medicine, Baltimore, Maryland
| | - Rolf P Kreutz
- Department of Medicine, Krannert Institute of Cardiology & Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, Indiana
| | - George A Stouffer
- Division of Cardiology and McAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Philip E Empey
- Department of Pharmacy and Therapeutics, Center for Clinical Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania
| | - Nita A Limdi
- Department of Neurology and Hugh Kaul Personalized Medicine Institute, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Alan R Shuldiner
- Department of Medicine, University of Maryland, Baltimore, Maryland
| | - Almut G Winterstein
- Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, Florida; Department of Epidemiology, Colleges of Medicine and Public Health and Health Professions, University of Florida, Gainesville, Florida
| | - Julie A Johnson
- Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, Florida; Department of Medicine, Division of Cardiovascular Medicine, University of Florida, Gainesville, Florida
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Abstract
PURPOSE OF REVIEW Pharmacogenetics is an important component of precision medicine. Even within the genomic era, several challenges lie ahead in the road towards clinical implementation of pharmacogenetics in the clinic. This review will summarize the current state of knowledge regarding pharmacogenetics of cardiovascular drugs, focusing on those with the most evidence supporting clinical implementation- clopidogrel, warfarin and simvastatin. RECENT FINDINGS There is limited translation of pharmacogenetics into clinical practice primarily due to the absence of outcomes data from prospective, randomized, genotype-directed clinical trials. There are several ongoing randomized controlled trials that will provide some answers as to the clinical utility of genotype-directed strategies. Several academic medical centers have pushed towards clinical implementation where the clinical validity data are strong. Their experiences will inform operational requirements of a clinical pharmacogenetics testing including the timing of testing, incorporation of test results into the electronic health record, reimbursement and ethical issues. SUMMARY Pharmacogenetics of clopidogrel, warfarin and simvastatin are three examples where pharmacogenetics testing may provide added clinical value. Continued accumulation of evidence surrounding clinical utility of pharmacogenetics markers is imperative as this will inform reimbursement policy and drive adoption of pharamcogenetics into routine care.
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Affiliation(s)
- Sony Tuteja
- Department of Medicine, University of Pennsylvania Perelman School of Medicine
| | - Nita Limdi
- Department of Neurology, University of Alabama at Birmingham
- Hugh Kaul Personalized Medicine Institute
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Luzum JA, Pakyz RE, Elsey AR, Haidar CE, Peterson JF, Whirl-Carrillo M, Handelman SK, Palmer K, Pulley JM, Beller M, Schildcrout JS, Field JR, Weitzel KW, Cooper-DeHoff RM, Cavallari LH, O’Donnell PH, Altman RB, Pereira N, Ratain MJ, Roden DM, Embi PJ, Sadee W, Klein TE, Johnson JA, Relling MV, Wang L, Weinshilboum RM, Shuldiner AR, Freimuth RR. The Pharmacogenomics Research Network Translational Pharmacogenetics Program: Outcomes and Metrics of Pharmacogenetic Implementations Across Diverse Healthcare Systems. Clin Pharmacol Ther 2017; 102:502-510. [PMID: 28090649 PMCID: PMC5511786 DOI: 10.1002/cpt.630] [Citation(s) in RCA: 102] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Accepted: 01/11/2017] [Indexed: 12/23/2022]
Abstract
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.
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Affiliation(s)
- Jasmine A. Luzum
- Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, MI, USA
- Center for Pharmacogenomics, College of Medicine, Ohio State University, Columbus, OH, USA
| | - Ruth E. Pakyz
- Program for Personalized and Genomic Medicine, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Amanda R. Elsey
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, University of Florida, Gainesville, FL, USA
| | - Cyrine E. Haidar
- Department of Pharmaceutical Sciences, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Josh F. Peterson
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | | | - Samuel K. Handelman
- Center for Pharmacogenomics, College of Medicine, Ohio State University, Columbus, OH, USA
| | - Kathleen Palmer
- Program for Personalized and Genomic Medicine, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Jill M. Pulley
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Marc Beller
- Office of Research Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Jonathan S. Schildcrout
- Department of Statistics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Julie R. Field
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Kristin W. Weitzel
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, University of Florida, Gainesville, FL, USA
| | - Rhonda M. Cooper-DeHoff
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, University of Florida, Gainesville, FL, USA
| | - Larisa H. Cavallari
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, University of Florida, Gainesville, FL, USA
| | - Peter H. O’Donnell
- Center for Personalized Therapeutics, University of Chicago, Chicago, IL, USA
| | - Russ B. Altman
- Stanford University School of Medicine, Palo Alto, California, USA
| | - Naveen Pereira
- Division of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - Mark J. Ratain
- Center for Personalized Therapeutics, University of Chicago, Chicago, IL, USA
| | - Dan M. Roden
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Peter J. Embi
- Department of Biomedical Informatics, Ohio State University, Columbus, OH, USA
| | - Wolfgang Sadee
- Center for Pharmacogenomics, College of Medicine, Ohio State University, Columbus, OH, USA
- Department of Cancer Biology and Genetics, College of Medicine, Ohio State University, Columbus, OH, USA
| | - Teri E. Klein
- Stanford University School of Medicine, Palo Alto, California, USA
| | - Julie A. Johnson
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, University of Florida, Gainesville, FL, USA
| | - Mary V. Relling
- Department of Pharmaceutical Sciences, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Liewei Wang
- Department of Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Richard M. Weinshilboum
- Department of Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Alan R. Shuldiner
- Program for Personalized and Genomic Medicine, School of Medicine, University of Maryland, Baltimore, MD, USA
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Klein ME, Parvez MM, Shin JG. Clinical Implementation of Pharmacogenomics for Personalized Precision Medicine: Barriers and Solutions. J Pharm Sci 2017; 106:2368-2379. [DOI: 10.1016/j.xphs.2017.04.051] [Citation(s) in RCA: 112] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Revised: 04/14/2017] [Accepted: 04/24/2017] [Indexed: 12/11/2022]
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Cavallari LH. Personalizing antiplatelet prescribing using genetics for patients undergoing percutaneous coronary intervention. Expert Rev Cardiovasc Ther 2017; 15:581-589. [PMID: 28699807 DOI: 10.1080/14779072.2017.1355236] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Clopidogrel is commonly prescribed with aspirin to reduce the risk for adverse cardiovascular events after percutaneous coronary intervention (PCI). However, there is significant inter-patient variability in clopidogrel response. The CYP2C19 enzyme is involved in the biotransformation of clopidogrel to its pharmacologically active form, and variation in the CYP2C19 gene contributes to clopidogrel response variability. Areas covered. This article describes the impact of CYP2C19 genotype on clopidogrel pharmacokinetics, pharmacodynamics, and effectiveness. Examples of clinical implementation of CYP2C19 genotype-guided antiplatelet therapy for patients undergoing PCI are also described as are emerging outcomes data with this treatment approach. Expert commentary. A large clinical trial evaluating outcomes with CYP2C19 genotype-guided antiplatelet therapy after PCI is on-going. In the meantime, data from pragmatic and observational studies and smaller trials support improved outcomes with genotyping after PCI and use of alternative antiplatelet therapy in patients with a CYP2C19 genotype associated with reduced clopidogrel effectiveness.
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Affiliation(s)
- Larisa H Cavallari
- a Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics , University of Florida College of Pharmacy , Gainesville , FL , USA
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48
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O'connor CT, Kiernan TJ, Yan BP. The genetic basis of antiplatelet and anticoagulant therapy: A pharmacogenetic review of newer antiplatelets (clopidogrel, prasugrel and ticagrelor) and anticoagulants (dabigatran, rivaroxaban, apixaban and edoxaban). Expert Opin Drug Metab Toxicol 2017; 13:725-739. [PMID: 28571507 DOI: 10.1080/17425255.2017.1338274] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
INTRODUCTION The study of pharmacogenomics presents the possibility of individualised optimisation of drug therapy tailored to each patients' unique physiological traits. Both antiplatelet and anticoagulant drugs play a key role in the management of cardiovascular disease. Despite their importance, there is a substantial volume of literature to suggest marked person-to-person variability in their effect. Areas covered: This article reviews the data available for the genetic cause for this inter-patient variability of antiplatelet and anticoagulant drugs. The genetic basis for traditional antiplatelets (i.e. aspirin) is compared with the newly available antiplatelet medicines (clopidogrel, prasugrel and ticagrelor). Similarly, the pharmacogenetics of warfarin is compared with the newer direct oral anticoagulants (DOACs) in detail. Expert Opinion: We identify strengths and weaknesses in the research thus far; including shortcomings in trial design and a review of newer analytical techniques. The direction of this research and its real-world implications are discussed.
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Affiliation(s)
- Cormac T O'connor
- a Cardiology Department , University Hospital Limerick , Limerick , Ireland
| | - Thomas J Kiernan
- a Cardiology Department , University Hospital Limerick , Limerick , Ireland
| | - Bryan P Yan
- b Division of Cardiology, Department of Medicine and Therapeutics , The Chinese University of Hong Kong, Prince of Wales Hospital , Hong Kong SAR , China
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Caraballo PJ, Bielinski SJ, St. Sauver JL, Weinshilboum RM. Electronic Medical Record-Integrated Pharmacogenomics and Related Clinical Decision Support Concepts. Clin Pharmacol Ther 2017; 102:254-264. [DOI: 10.1002/cpt.707] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Revised: 03/28/2017] [Accepted: 04/03/2017] [Indexed: 12/22/2022]
Affiliation(s)
- PJ Caraballo
- Division of General Internal Medicine; Department of Medicine, Mayo Clinic; Rochester Minnesota USA
- Office of Information and Knowledge Management; Mayo Clinic; Rochester Minnesota USA
| | - SJ Bielinski
- Division of Epidemiology; Department of Health Sciences Research, Mayo Clinic; Rochester Minnesota USA
| | - JL St. Sauver
- Division of Epidemiology; Department of Health Sciences Research, Mayo Clinic; Rochester Minnesota USA
- Center for the Science of Health Care Delivery; Mayo Clinic; Rochester Minnesota USA
| | - RM Weinshilboum
- Division of Clinical Pharmacology; Departments of Molecular Pharmacology and Experimental Therapeutics & Medicine, Mayo Clinic; Rochester Minnesota USA
- Center for Individualized Medicine; Mayo Clinic; Rochester Minnesota USA
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