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van der Wouden CH, Guchelaar HJ, Swen JJ. Precision Medicine Using Pharmacogenomic Panel-Testing: Current Status and Future Perspectives. Clin Lab Med 2022; 42:587-602. [PMID: 36368784 DOI: 10.1016/j.cll.2022.09.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Cathelijne H van der Wouden
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Albinusdreef 2, Leiden 2333ZA, The Netherlands; Leiden Network for Personalised Therapeutics, Leiden, The Netherlands
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Albinusdreef 2, Leiden 2333ZA, The Netherlands; Leiden Network for Personalised Therapeutics, Leiden, The Netherlands
| | - Jesse J Swen
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Albinusdreef 2, Leiden 2333ZA, The Netherlands; Leiden Network for Personalised Therapeutics, Leiden, The Netherlands.
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2
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Haga SB. Revisiting Secondary Information Related to Pharmacogenetic Testing. Front Genet 2021; 12:741395. [PMID: 34659361 PMCID: PMC8517135 DOI: 10.3389/fgene.2021.741395] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 09/13/2021] [Indexed: 12/22/2022] Open
Abstract
Incidental or secondary findings have been a major part of the discussion of genomic medicine research and clinical applications. For pharmacogenetic (PGx) testing, secondary findings arise due to the pleiotropic effects of pharmacogenes, often related to their endogenous functions. Unlike the guidelines that have been developed for whole exome or genome sequencing applications for management of secondary findings (though slightly different from PGx testing in that these refer to detection of variants in multiple genes, some with clinical significance and actionability), no corresponding guidelines have been developed for PGx clinical laboratories. Nonetheless, patient and provider education will remain key components of any PGx testing program to minimize adverse responses related to secondary findings.
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Haga SB, Mills R, Moaddeb J, Liu Y, Voora D. Independent Community Pharmacists' Experience in Offering Pharmacogenetic Testing. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2021; 14:877-886. [PMID: 34290521 PMCID: PMC8289463 DOI: 10.2147/pgpm.s314972] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 06/22/2021] [Indexed: 12/16/2022]
Abstract
Objective This study assessed pharmacist experiences with delivering pharmacogenetic (PGx) testing in independent community pharmacies. Methods We conducted a cluster randomized trial of independent community pharmacies in North Carolina randomized to provide either PGx testing as a standalone service or integrated into medication therapy management (MTM) services. Surveys and pharmacist data about the delivery of PGx testing were collected. Semi-structured interviews were also conducted. Results A total of 36 pharmacists participated in the study from 22 pharmacies. Sixteen pharmacists completed the pre-study and post-study surveys, and four pharmacists completed the semi-structured interviews. Thirty-one percent (11/36) of pharmacists had had some education in personalized medicine or PGx prior to the study. The only outcome that differed by study arm was the use of educational resources, with significantly higher utilization in the PGx testing only arm (p=0.007). Overall, compared to the pre-study assessment, pharmacists' knowledge about PGx significantly improved post-study (p=0.018). In the post-study survey, almost all pharmacists indicated that they felt qualified/able to provide PGx testing at their pharmacy. While 75% of pharmacists indicated that they may continue to provide PGx testing at their pharmacy after the study, the major concerns were lack of reimbursement for PGx counseling and consultation given the necessary time required. Conclusion Our findings demonstrated a positive experience with delivering PGx testing in the community pharmacy setting with little difference in pharmacists' experiences in providing PGx testing with or without MTM. Pharmacists were confident in their ability to provide PGx testing and were interested in continuing to offer testing, though sustained delivery may be challenged by lack of prescribing provider engagement and reimbursement.
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Affiliation(s)
- Susanne B Haga
- Center for Applied Genomics & Precision Medicine, Durham, NC, 27708, USA
| | - Rachel Mills
- Center for Applied Genomics & Precision Medicine, Durham, NC, 27708, USA
| | - Jivan Moaddeb
- Center for Applied Genomics & Precision Medicine, Durham, NC, 27708, USA
| | - Yiling Liu
- Center for Applied Genomics & Precision Medicine, Durham, NC, 27708, USA
| | - Deepak Voora
- Center for Applied Genomics & Precision Medicine, Durham, NC, 27708, USA
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4
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Luzum JA, Petry N, Taylor AK, Van Driest SL, Dunnenberger HM, Cavallari LH. Moving Pharmacogenetics Into Practice: It's All About the Evidence! Clin Pharmacol Ther 2021; 110:649-661. [PMID: 34101169 DOI: 10.1002/cpt.2327] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 05/27/2021] [Indexed: 12/19/2022]
Abstract
The evidence for pharmacogenetics has grown rapidly in recent decades. However, the strength of evidence required for the clinical implementation of pharmacogenetics is highly debated. Therefore, the purpose of this review is to summarize different perspectives on the evidence required for the clinical implementation of pharmacogenetics. First, we present two patient cases that demonstrate how knowledge of pharmacogenetic evidence affected their care. Then we summarize resources that curate pharmacogenetic evidence, types of evidence (with an emphasis on randomized controlled trials [RCT]) and their limitations, and different perspectives from implementers, clinicians, and patients. We compare pharmacogenetics to a historical example (i.e., the evidence required for the clinical implementation of pharmacokinetics/therapeutic drug monitoring), and we provide future perspectives on the evidence for pharmacogenetic panels and the need for more education in addition to evidence. Although there are differences in the interpretation of pharmacogenetic evidence across resources, efforts for standardization are underway. Survey data illustrate the value of pharmacogenetic testing from the patient perspective, with their providers seen as key to ensuring maximum benefit from test results. However, clinicians and practice guidelines from medical societies often rely on RCT data to guide treatment decisions, which are not always feasible or ethical in pharmacogenetics. Thus, recognition of other types of evidence to support pharmacogenetic implementation is needed. Among pharmacogenetic implementers, consistent evidence of pharmacogenetic associations is deemed most critical. Ultimately, moving pharmacogenetics into practice will require consideration of multiple stakeholder perspectives, keeping particularly attuned to the voice of the ultimate stakeholder-the patient.
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Affiliation(s)
- Jasmine A Luzum
- Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA
| | - Natasha Petry
- Department of Pharmacy Practice, College of Health Professions, North Dakota State University, Fargo, North Dakota, USA.,Sanford Imagenetics, Sioux Falls, South Dakota, USA
| | - Annette K Taylor
- Colorado Coagulation, Laboratory Corporation of America Holdings, Englewood, Colorado, USA
| | - Sara L Van Driest
- Departments of Pediatrics and Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Henry M Dunnenberger
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA
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Malsagova KA, Butkova TV, Kopylov AT, Izotov AA, Potoldykova NV, Enikeev DV, Grigoryan V, Tarasov A, Stepanov AA, Kaysheva AL. Pharmacogenetic Testing: A Tool for Personalized Drug Therapy Optimization. Pharmaceutics 2020; 12:E1240. [PMID: 33352764 PMCID: PMC7765968 DOI: 10.3390/pharmaceutics12121240] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 12/15/2020] [Accepted: 12/17/2020] [Indexed: 12/14/2022] Open
Abstract
Pharmacogenomics is a study of how the genome background is associated with drug resistance and how therapy strategy can be modified for a certain person to achieve benefit. The pharmacogenomics (PGx) testing becomes of great opportunity for physicians to make the proper decision regarding each non-trivial patient that does not respond to therapy. Although pharmacogenomics has become of growing interest to the healthcare market during the past five to ten years the exact mechanisms linking the genetic polymorphisms and observable responses to drug therapy are not always clear. Therefore, the success of PGx testing depends on the physician's ability to understand the obtained results in a standardized way for each particular patient. The review aims to lead the reader through the general conception of PGx and related issues of PGx testing efficiency, personal data security, and health safety at a current clinical level.
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Affiliation(s)
- Kristina A. Malsagova
- Biobanking Group, Branch of Institute of Biomedical Chemistry “Scientific and Education Center”, 109028 Moscow, Russia; (T.V.B.); (A.T.K.); (A.A.I.); (A.A.S.); (A.L.K.)
| | - Tatyana V. Butkova
- Biobanking Group, Branch of Institute of Biomedical Chemistry “Scientific and Education Center”, 109028 Moscow, Russia; (T.V.B.); (A.T.K.); (A.A.I.); (A.A.S.); (A.L.K.)
| | - Arthur T. Kopylov
- Biobanking Group, Branch of Institute of Biomedical Chemistry “Scientific and Education Center”, 109028 Moscow, Russia; (T.V.B.); (A.T.K.); (A.A.I.); (A.A.S.); (A.L.K.)
| | - Alexander A. Izotov
- Biobanking Group, Branch of Institute of Biomedical Chemistry “Scientific and Education Center”, 109028 Moscow, Russia; (T.V.B.); (A.T.K.); (A.A.I.); (A.A.S.); (A.L.K.)
| | - Natalia V. Potoldykova
- Institute of Urology and Reproductive Health, Sechenov University, 119992 Moscow, Russia; (N.V.P.); (D.V.E.); (V.G.)
| | - Dmitry V. Enikeev
- Institute of Urology and Reproductive Health, Sechenov University, 119992 Moscow, Russia; (N.V.P.); (D.V.E.); (V.G.)
| | - Vagarshak Grigoryan
- Institute of Urology and Reproductive Health, Sechenov University, 119992 Moscow, Russia; (N.V.P.); (D.V.E.); (V.G.)
| | - Alexander Tarasov
- Institute of Linguistics and Intercultural Communication, Sechenov University, 119992 Moscow, Russia;
| | - Alexander A. Stepanov
- Biobanking Group, Branch of Institute of Biomedical Chemistry “Scientific and Education Center”, 109028 Moscow, Russia; (T.V.B.); (A.T.K.); (A.A.I.); (A.A.S.); (A.L.K.)
| | - Anna L. Kaysheva
- Biobanking Group, Branch of Institute of Biomedical Chemistry “Scientific and Education Center”, 109028 Moscow, Russia; (T.V.B.); (A.T.K.); (A.A.I.); (A.A.S.); (A.L.K.)
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van der Wouden CH, Böhringer S, Cecchin E, Cheung KC, Dávila-Fajardo CL, Deneer VH, Dolžan V, Ingelman-Sundberg M, Jönsson S, Karlsson MO, Kriek M, Mitropoulou C, Patrinos GP, Pirmohamed M, Rial-Sebbag E, Samwald M, Schwab M, Steinberger D, Stingl J, Sunder-Plassmann G, Toffoli G, Turner RM, van Rhenen MH, van Zwet E, Swen JJ, Guchelaar HJ. Generating evidence for precision medicine: considerations made by the Ubiquitous Pharmacogenomics Consortium when designing and operationalizing the PREPARE study. Pharmacogenet Genomics 2020; 30:131-144. [PMID: 32317559 PMCID: PMC7331826 DOI: 10.1097/fpc.0000000000000405] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 03/02/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVES Pharmacogenetic panel-based testing represents a new model for precision medicine. A sufficiently powered prospective study assessing the (cost-)effectiveness of a panel-based pharmacogenomics approach to guide pharmacotherapy is lacking. Therefore, the Ubiquitous Pharmacogenomics Consortium initiated the PREemptive Pharmacogenomic testing for prevention of Adverse drug Reactions (PREPARE) study. Here, we provide an overview of considerations made to mitigate multiple methodological challenges that emerged during the design. METHODS An evaluation of considerations made when designing the PREPARE study across six domains: study aims and design, primary endpoint definition and collection of adverse drug events, inclusion and exclusion criteria, target population, pharmacogenomics intervention strategy, and statistical analyses. RESULTS Challenges and respective solutions included: (1) defining and operationalizing a composite primary endpoint enabling measurement of the anticipated effect, by including only severe, causal, and drug genotype-associated adverse drug reactions; (2) avoiding overrepresentation of frequently prescribed drugs within the patient sample while maintaining external validity, by capping drugs of enrolment; (3) designing the pharmacogenomics intervention strategy to be applicable across ethnicities and healthcare settings; and (4) designing a statistical analysis plan to avoid dilution of effect by initially excluding patients without a gene-drug interaction in a gatekeeping analysis. CONCLUSION Our design considerations will enable quantification of the collective clinical utility of a panel of pharmacogenomics-markers within one trial as a proof-of-concept for pharmacogenomics-guided pharmacotherapy across multiple actionable gene-drug interactions. These considerations may prove useful to other investigators aiming to generate evidence for precision medicine.
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Affiliation(s)
- Cathelijne H. van der Wouden
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center
- Leiden University Medical Center, Leiden Network for Personalised Therapeutics
| | - Stefan Böhringer
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Erika Cecchin
- Experimental and Clinical Pharmacology, Experimental and Clinical Pharmacology; Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, National Cancer Institute, Aviano, Italy
| | - Ka-Chun Cheung
- Medicine Information Centre, Royal Dutch Pharmacists Association (KNMP), The Hague, The Netherlands
| | - Cristina Lucía Dávila-Fajardo
- Department of Clinical Pharmacy, San Cecilio University Hospital, Instituto de investigación biosanitaria de Granada, ibs.Granada, Granada, Spain
| | - Vera H.M. Deneer
- Department of Clinical Pharmacy, Division of Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Vita Dolžan
- Pharmacogenetics Laboratory, Faculty of Medicine, Institute of Biochemistry, University of Ljubljana, Slovenia
| | - Magnus Ingelman-Sundberg
- Department of Physiology and Pharmacology, Section of Pharmacogenetics, Karolinska Institutet, Stockholm
| | - Siv Jönsson
- Department of Physiology and Pharmacology, Section of Pharmacogenetics, Karolinska Institutet, Stockholm
| | - Mats O. Karlsson
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - Marjolein Kriek
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - George P. Patrinos
- Department of Pharmacy, University of Patras, School of Health Sciences, University Campus, Rion, Patras, Greece
| | - Munir Pirmohamed
- Department of Molecular and Clinical Pharmacology, University of Liverpool, and Royal Liverpool University Hospital, Liverpool, UK
| | | | - Matthias Samwald
- Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria
| | - Matthias Schwab
- Department of Clinical Pharmacology, Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany and University of Tübingen
- Department of Clinical Pharmacology, University Hospital Tübingen
- Department of Pharmacy and Biochemistry, University of Tübingen, Tübingen
| | - Daniela Steinberger
- bio.logis Center for Human Genetics, Frankfurt am Main
- Institute of Human Genetics, Justus Liebig University Giessen
| | - Julia Stingl
- Institute of Clinical Pharmacology, University Hospital of RWTH Aachen, Aachen, Germany
| | - Gere Sunder-Plassmann
- Department of Internal Medicine III, Division of Nephrology and Dialysis, Medical University of Venna, Vienna, Austria
| | - Giuseppe Toffoli
- Experimental and Clinical Pharmacology, Experimental and Clinical Pharmacology; Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, National Cancer Institute, Aviano, Italy
| | - Richard M. Turner
- Department of Molecular and Clinical Pharmacology, University of Liverpool, and Royal Liverpool University Hospital, Liverpool, UK
| | - Mandy H. van Rhenen
- Medicine Information Centre, Royal Dutch Pharmacists Association (KNMP), The Hague, The Netherlands
| | - Erik van Zwet
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Jesse J. Swen
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center
- Leiden University Medical Center, Leiden Network for Personalised Therapeutics
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center
- Leiden University Medical Center, Leiden Network for Personalised Therapeutics
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7
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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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8
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Haga SB. Pharmacogenomic Testing In Pediatrics: Navigating The Ethical, Social, And Legal Challenges. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2019; 12:273-285. [PMID: 31686893 PMCID: PMC6800463 DOI: 10.2147/pgpm.s179172] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 09/12/2019] [Indexed: 12/17/2022]
Abstract
For the past several years, the implementation of pharmacogenetic (PGx) testing has become widespread in several centers and clinical practice settings. PGx testing may be ordered at the point-of-care when treatment is needed or in advance of treatment for future use. The potential benefits of PGx testing are not limited to adult patients, as children are increasingly using medications more often and at earlier ages. This review provides some background on the use of PGx testing in children as well as mothers (prenatally and post-natally) and discusses the challenges, benefits, and the ethical, legal, and social implications of providing PGx testing to children.
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Affiliation(s)
- Susanne B Haga
- Department of Medicine, Division of General Internal Medicine, Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, NC, 27708, USA
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9
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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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Haga SB, Kantor A. Horizon Scan Of Clinical Laboratories Offering Pharmacogenetic Testing. Health Aff (Millwood) 2019; 37:717-723. [PMID: 29733708 DOI: 10.1377/hlthaff.2017.1564] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Pharmacogenetic (PGx) testing involves the analysis of genes known to affect response to medications. The field has been projected as a leading application of personalized or precision medicine, but the use of PGx tests has been stymied, in part, by the lack of clinical evidence of utility and reported low provider awareness. Another factor is the availability of testing. The range and types of PGx tests available have not been assessed to date. In the period September 2017-January 2018 we analyzed the numbers and types of PGx tests offered by clinical testing laboratories in the US. Of the 111 such labs that we identified, we confirmed that 76 offered PGx testing services. Of these, 31 offered only tests for single genes; 30 offered only tests for multiple genes; and 15 offered both types of tests. Collectively, 45 laboratories offered 114 multigene panel tests covering 295 genes. The majority of these tests did not have any clinical guidelines. PGx tests vary in type and makeup, which presents challenges in appropriate test evaluation and selection for providers, insurers, health systems, and patients alike.
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Affiliation(s)
- Susanne B Haga
- Susanne B. Haga ( ) is an associate professor of medicine at the Duke University School of Medicine, in Durham, North Carolina
| | - Ariel Kantor
- Ariel Kantor is an undergraduate research assistant at Duke University
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11
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An economic model of the cost-utility of pre-emptive genetic testing to support pharmacotherapy in patients with major depression in primary care. THE PHARMACOGENOMICS JOURNAL 2019; 19:480-489. [PMID: 30647446 DOI: 10.1038/s41397-019-0070-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 10/26/2018] [Accepted: 12/21/2018] [Indexed: 12/28/2022]
Abstract
The pharmacokinetics of many antidepressants (tricyclic antidepressants (TCA) or selective serotonin re-uptake inhibitors (SSRI)) are influenced by the highly polymorphic CYP2D6 enzyme. Therefore, pharmacogenetics could play an important role in the treatment of depressive patients. The potential cost-utility of screening patients is however still unknown. Therefore, a Markov model was developed to compare the strategy of screening for CYP2D6 and subsequently adjust antidepressant treatment according to a patient's metabolizer profile of poor, extensive, or ultra metabolizer, with the strategy of no screening ('one size fits all' principle). Each week a patient had a probability of side effects, which was followed by dosage titration or treatment switching. After 6 weeks treatment effect was evaluated followed by treatment adjustments if necessary, with a total time horizon of the model of 12 weeks. The analysis was performed from a societal perspective. The strategy of screening compared with no screening resulted in incremental costs of €91 (95 percentiles: €39; €152) more expensive but also more effect with 0.001 quality adjusted life years (QALYs) (95 percentiles: 0.001; 0.002) gain. The incremental cost-effectiveness ratio (ICER) was therefore €77,406 per QALY gained, but varied between €22,500 and €377,500 depending on the price of screening and productivity losses. According to our model, we cannot unequivocally conclude that screening for CYP2D6 in primary care patients using antidepressants is be cost-effective, as the results are surrounded by large uncertainty. Therefore, information from ongoing studies should be used to reduce these uncertainties.
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12
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Luzum JA, Cheung JC. Does cardiology hold pharmacogenetics to an inconsistent standard? A comparison of evidence among recommendations. Pharmacogenomics 2018; 19:1203-1216. [PMID: 30196751 PMCID: PMC6219446 DOI: 10.2217/pgs-2018-0097] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Accepted: 08/17/2018] [Indexed: 12/20/2022] Open
Abstract
Current guideline recommendations for pharmacogenetic testing for clopidogrel by the American Heart Association/American College of Cardiology (AHA/ACC) contradict the Clinical Pharmacogenetics Implementation Consortium and the US FDA. The AHA/ACC recommends against routine pharmacogenetic testing for clopidogrel because no randomized controlled trials have demonstrated that testing improves patients' outcomes. However the AHA/ACC and the National Comprehensive Cancer Network (NCCN) recommend other pharmacogenetic tests in the absence of randomized controlled trials evidence. Using clopidogrel as a case example, we compared the evidence for other pharmacogenetic tests recommended by the AHA/ACC and NCCN. In patients that received percutaneous coronary intervention, the evidence supporting pharmacogenetic testing for clopidogrel is stronger than other pharmacogenetic tests recommended by the AHA/ACC and NCCN.
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Affiliation(s)
- Jasmine A Luzum
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, MI, USA
| | - Jason C Cheung
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, MI, USA
- Department of Pharmacy, Baptist Health Floyd, New Albany, IN, USA
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13
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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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14
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Bank PCD, Swen JJ, Guchelaar HJ. Implementation of Pharmacogenomics in Everyday Clinical Settings. ADVANCES IN PHARMACOLOGY (SAN DIEGO, CALIF.) 2018; 83:219-246. [PMID: 29801576 DOI: 10.1016/bs.apha.2018.04.003] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Currently, germline pharmacogenomics (PGx) is successfully implemented within certain specialties in clinical care. With the integration of PGx in pharmacotherapy multiple stakeholders are involved, which are identified in this chapter. Clinically relevant pharmacogenes with their related PGx test are discussed, along with diagnostic test criteria to guide clinicians and policy makers in PGx test selection. The chapter further reviews the similarities and the differences between the guidelines of the Dutch Pharmacogenetics Working Group and the Clinical Pharmacogenetics Implementation Consortium which both support healthcare professionals in understanding PGx test results and help guiding pharmacotherapy by providing evidence-based dosing recommendations. Finally, clinical studies which provide scientific evidence and information on cost-effectiveness supporting clinical implementation of PGx in clinical care are discussed along with the remaining barriers for adoption of PGx testing by healthcare professionals.
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Affiliation(s)
- Paul C D Bank
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jesse J Swen
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Leiden, The Netherlands
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Leiden, The Netherlands.
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15
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Jansen ME, Rigter T, Rodenburg W, Fleur TMC, Houwink EJF, Weda M, Cornel MC. Review of the Reported Measures of Clinical Validity and Clinical Utility as Arguments for the Implementation of Pharmacogenetic Testing: A Case Study of Statin-Induced Muscle Toxicity. Front Pharmacol 2017; 8:555. [PMID: 28878673 PMCID: PMC5572384 DOI: 10.3389/fphar.2017.00555] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Accepted: 08/07/2017] [Indexed: 12/19/2022] Open
Abstract
Advances from pharmacogenetics (PGx) have not been implemented into health care to the expected extent. One gap that will be addressed in this study is a lack of reporting on clinical validity and clinical utility of PGx-tests. A systematic review of current reporting in scientific literature was conducted on publications addressing PGx in the context of statins and muscle toxicity. Eighty-nine publications were included and information was selected on reported measures of effect, arguments, and accompanying conclusions. Most authors report associations to quantify the relationship between a genetic variation an outcome, such as adverse drug responses. Conclusions on the implementation of a PGx-test are generally based on these associations, without explicit mention of other measures relevant to evaluate the test's clinical validity and clinical utility. To gain insight in the clinical impact and select useful tests, additional outcomes are needed to estimate the clinical validity and utility, such as cost-effectiveness.
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Affiliation(s)
- Marleen E Jansen
- Section Community Genetics, Department of Clinical Genetics and Amsterdam Public Health Research Institute, VU University Medical CenterAmsterdam, Netherlands.,Centre for Health Protection, National Institute for Public Health and the EnvironmentBilthoven, Netherlands
| | - T Rigter
- Section Community Genetics, Department of Clinical Genetics and Amsterdam Public Health Research Institute, VU University Medical CenterAmsterdam, Netherlands.,Centre for Health Protection, National Institute for Public Health and the EnvironmentBilthoven, Netherlands
| | - W Rodenburg
- Centre for Health Protection, National Institute for Public Health and the EnvironmentBilthoven, Netherlands
| | - T M C Fleur
- Section Community Genetics, Department of Clinical Genetics and Amsterdam Public Health Research Institute, VU University Medical CenterAmsterdam, Netherlands.,Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute of Pharmaceutical Sciences, Utrecht UniversityUtrecht, Netherlands
| | - E J F Houwink
- Section Community Genetics, Department of Clinical Genetics and Amsterdam Public Health Research Institute, VU University Medical CenterAmsterdam, Netherlands
| | - M Weda
- Centre for Health Protection, National Institute for Public Health and the EnvironmentBilthoven, Netherlands
| | - Martina C Cornel
- Section Community Genetics, Department of Clinical Genetics and Amsterdam Public Health Research Institute, VU University Medical CenterAmsterdam, Netherlands
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16
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Preemptive Panel-Based Pharmacogenetic Testing: The Time is Now. Pharm Res 2017; 34:1551-1555. [PMID: 28466392 DOI: 10.1007/s11095-017-2163-x] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Accepted: 04/06/2017] [Indexed: 01/06/2023]
Abstract
While recent discoveries have paved the way for the use of genotype-guided prescribing in some clinical environments, significant debate persists among clinicians and researchers about the optimal approach to pharmacogenetic testing in clinical practice. One crucial factor in this debate surrounds the timing and methodology of genotyping, specifically whether genotyping should be performed reactively for targeted genes when a single drug is prescribed, or preemptively using a panel-based approach prior to drug prescribing. While early clinical models that employed a preemptive approach were largely developed in academic health centers through multidisciplinary efforts, increasing examples of pharmacogenetic testing are emerging in community-based and primary care practice environments. However, educational and practice-based resources for these clinicians remain largely nonexistent. As such, there is a need for the health care system to shift its focus from debating about preemptive genotyping to developing and disseminating needed resources to equip frontline clinicians for clinical implementation of pharmacogenetics. Providing tools and guidance to support these emerging models of care will be essential to support the thoughtful, evidence-based use of pharmacogenetic information in diverse clinical practice environments. Specifically, the creation of efficient and accurate point-of-care resources, practice-based tools, and clinical models is needed, along with identification and dissemination of sustainable avenues for pharmacogenetic test reimbursement.
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17
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Dubovsky SL. The Limitations of Genetic Testing in Psychiatry. PSYCHOTHERAPY AND PSYCHOSOMATICS 2017; 85:129-35. [PMID: 27043036 DOI: 10.1159/000443512] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2015] [Accepted: 12/20/2015] [Indexed: 11/19/2022]
Affiliation(s)
- Steven L Dubovsky
- Department of Psychiatry, State University of New York at Buffalo, Buffalo, N.Y., and Departments of Psychiatry and Medicine, University of Colorado, Denver, Colo., USA
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18
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Dias MM, Sorich MJ, Rowland A, Wiese MD, McKinnon RA. The Routine Clinical use of Pharmacogenetic Tests: What it Will Require? Pharm Res 2017; 34:1544-1550. [PMID: 28236061 DOI: 10.1007/s11095-017-2128-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 02/16/2017] [Indexed: 01/04/2023]
Abstract
Pharmacogenetic testing aims to personalize drug therapy with a view to optimising drug efficacy and minimise toxicity. However, despite the potential benefits, pharmacogenetic testing is mostly confined to specialised medical areas, laboratories and centres. Widespread integration into routine clinical practice has been limited by a complex set of issues including regulatory and reimbursement frameworks, evidence of clinical utility and clinician perspectives, practices and education. Here we assess the current barriers to widespread clinical uptake and identify the key issue necessary to address to accelerate routine testing.
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Affiliation(s)
- Mafalda M Dias
- School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia.,Department of Clinical Pharmacology, School of Medicine, Flinders University, Bedford Park, Australia
| | - Michael J Sorich
- Department of Clinical Pharmacology, School of Medicine, Flinders University, Bedford Park, Australia.,Flinders Centre for Innovation in Cancer, School of Medicine, Flinders University, GPO Box 2100, Adelaide, SA, 5001, Australia
| | - Andrew Rowland
- Department of Clinical Pharmacology, School of Medicine, Flinders University, Bedford Park, Australia.,Flinders Centre for Innovation in Cancer, School of Medicine, Flinders University, GPO Box 2100, Adelaide, SA, 5001, Australia
| | - Michael D Wiese
- School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia
| | - Ross A McKinnon
- Flinders Centre for Innovation in Cancer, School of Medicine, Flinders University, GPO Box 2100, Adelaide, SA, 5001, Australia.
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19
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Collins SL, Carr DF, Pirmohamed M. Advances in the Pharmacogenomics of Adverse Drug Reactions. Drug Saf 2016; 39:15-27. [PMID: 26650062 DOI: 10.1007/s40264-015-0367-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Rapid developments in pharmacogenomics have been noticeable in recent years, and much of this knowledge has improved understanding of adverse drug reactions. This improved knowledge has largely been the result of improved sequencing technologies and falling costs in this area, as well as improved statistical techniques to analyse the data derived from studies. While the genetic reasons behind adverse drug reactions are becoming better understood, translation of this knowledge, particularly in terms of biomarkers that might be clinically applicable at the bedside, has been more difficult. Understanding of the technologies and their application is limited among practising clinicians. The cost of some of the technologies available may also be prohibitive in stretched healthcare economies. As education about the potential for applying pharmacogenomics improves and costs fall, understanding of adverse drug reactions and application of this knowledge in a clinical setting should improve.
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Affiliation(s)
- Susannah L Collins
- Department of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK
| | - Daniel F Carr
- Department of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK
| | - Munir Pirmohamed
- Department of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK.
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20
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Haga SB. Challenges of development and implementation of point of care pharmacogenetic testing. Expert Rev Mol Diagn 2016; 16:949-60. [PMID: 27402403 DOI: 10.1080/14737159.2016.1211934] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Just as technology was the underlying driver of the sequencing of the human genome and subsequent generation of volumes of genome sequence data from healthy and affected individuals, animal, plant, and microbial species alike, so too will technology revolutionize diagnostic testing. One area of intense interest is the use of genetic data to inform decisions regarding drug selection and drug dosing, known as pharmacogenetic (PGx) testing, to improve likelihood of successful treatment outcomes with minimal risks. AREAS COVERED This commentary will provide an overview of implementation research of PGx testing, the benefits of point-of-care (POC) testing and overview of POC testing platforms, available PGx tests, and barriers and facilitators to the development and integration of POC-PGx testing into clinical settings. Sources include the published literature, and databases from the Centers for Medicaid and Medicare Services, Food and Drug Administration. Expert commentary: The utilization of POC PGx testing may enable more routine test use, but the development and implementation of such tests will face some barriers before personalized medicine is available to every patient. In particular, provider training, availability of clinical decision supports, and connectivity will be key areas to facilitate routine use.
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Affiliation(s)
- Susanne B Haga
- a Department of Medicine, Center for Applied Genomics and Precision Medicine , Duke University School of Medicine , Durham , NC , USA
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21
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Bousman CA, Hopwood M. Commercial pharmacogenetic-based decision-support tools in psychiatry. Lancet Psychiatry 2016; 3:585-90. [PMID: 27133546 DOI: 10.1016/s2215-0366(16)00017-1] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Revised: 01/11/2016] [Accepted: 01/11/2016] [Indexed: 01/08/2023]
Abstract
Despite a compendium of pharmacotherapies available for treating psychiatric illnesses, suboptimal response to these therapies is typical and thought to be in part a result of genetic variation. This notion has sparked a personalised psychiatry movement, which has in turn led to the development of several commercial pharmacogenetic-based decision support tools marketed to psychiatrists as an alternative to typical, trial-and-error, prescribing. However, there is considerable uncertainty about the validity and usefulness of these tools and whether there is sufficient evidence to support their adoption. In this Personal View, we provide an introduction to these tools and assess their potential usefulness in psychiatry practice. We conclude with clinical considerations and development strategies for improving future pharmacogenetic-based decision support tools for clinical use.
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Affiliation(s)
- Chad A Bousman
- Department of Psychiatry, The University of Melbourne, Parkville, VIC, Australia; Florey Institute of Neuroscience and Mental Health and Department of General Practice, The University of Melbourne, Parkville, VIC, Australia; Swinburne University of Technology, Centre for Human Psychopharmacology, Hawthorne, VIC, Australia.
| | - Malcolm Hopwood
- Department of Psychiatry, The University of Melbourne, Parkville, VIC, Australia; Professorial Psychiatry Unit, Albert Road Clinic, Melbourne, VIC, Australia
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22
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Tonk ECM, Gurwitz D, Maitland-van der Zee AH, Janssens ACJW. Assessment of pharmacogenetic tests: presenting measures of clinical validity and potential population impact in association studies. THE PHARMACOGENOMICS JOURNAL 2016; 17:386-392. [PMID: 27168098 PMCID: PMC5549182 DOI: 10.1038/tpj.2016.34] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2015] [Revised: 12/24/2015] [Accepted: 02/26/2016] [Indexed: 12/20/2022]
Abstract
The progressing discovery of genetic variants associated with drug-related adverse events has raised expectations for pharmacogenetic tests to improve drug efficacy and safety. To further the use of pharmacogenetics in health care, tests with sufficient potential to improve efficacy and safety, as reflected by good clinical validity and population impact, need to be identified. The potential benefit of pharmacogenetic tests is often concluded from the strength of the association between the variant and the adverse event; measures of clinical validity are generally not reported. This paper describes measures of clinical validity and potential population health impact that can be calculated from association studies. We explain how these measures are influenced by the strength of the association and by the frequencies of the variant and the adverse event. The measures are illustrated using examples of testing for HLA-B*5701 associated with abacavir-induced hypersensitivity and SLCO1B1 c.521T>C (*5) associated with simvastatin-induced adverse events.
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Affiliation(s)
- E C M Tonk
- Department of Clinical Genetics/EMGO Institute for Health and Care Research, Section Community Genetics, VU University Medical Center, Amsterdam, The Netherlands
| | - D Gurwitz
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - A-H Maitland-van der Zee
- Utrecht Institute of Pharmaceutical Sciences, Division of Pharmacoepidemiology &Clinical Pharmacology, Utrecht University, Utrecht, The Netherlands
| | - A C J W Janssens
- Department of Clinical Genetics/EMGO Institute for Health and Care Research, Section Community Genetics, VU University Medical Center, Amsterdam, The Netherlands.,Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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23
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O’Donnell PH, Danahey K, Ratain MJ. The Outlier in All of Us: Why Implementing Pharmacogenomics Could Matter for Everyone. Clin Pharmacol Ther 2016; 99:401-4. [PMID: 26756170 PMCID: PMC4830348 DOI: 10.1002/cpt.333] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Revised: 01/04/2016] [Accepted: 01/05/2016] [Indexed: 01/11/2023]
Abstract
The field of pharmacogenomics originally emerged in the 1950s from observations that a few rare individuals had unexpected, severe reactions to drugs. As recently as just 6 years ago, prominent views on the subject had largely remained unchanged, with authors from the US Food and Drug Administration (FDA) citing the purpose of pharmacogenetics as "tailoring treatment for the outliers." It should not be surprising if this is the prevailing view--the best-studied pharmacogenomic drug examples are indeed just that, genetic explanations of extreme responses or susceptibilities among usually a very small fraction of the human population. Thiopurine methyltransferase (TPMT) deficiency as a cause of severe myelosuppression upon treatment with azathioprine or mercaptopurine is found as a heterozygous trait in only ∼ 10% of patients, and homozygous (deficiency) carriers are even more rare--occurring in fewer than 1 in 300 patients. Malignant hyperthermia resulting from inhaled anesthetics and succinylcholine is believed to have a genetic incidence of only about 1 in 2000 people.
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Affiliation(s)
- Peter H. O’Donnell
- Center for Personalized Therapeutics, The University of Chicago,
Chicago, USA
- Committee on Clinical Pharmacology and Pharmacogenomics, The
University of Chicago, Chicago, USA
- Department of Medicine, The University of Chicago, Chicago,
USA
| | - Keith Danahey
- Center for Personalized Therapeutics, The University of Chicago,
Chicago, USA
- Center for Research Informatics, The University of Chicago, Chicago,
USA
| | - Mark J. Ratain
- Center for Personalized Therapeutics, The University of Chicago,
Chicago, USA
- Committee on Clinical Pharmacology and Pharmacogenomics, The
University of Chicago, Chicago, USA
- Department of Medicine, The University of Chicago, Chicago,
USA
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24
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Luzum JA, Luzum MJ. Physicians' attitudes toward pharmacogenetic testing before and after pharmacogenetic education. Per Med 2016; 13:119-127. [PMID: 29749904 DOI: 10.2217/pme.15.57] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
AIM Our aim was to evaluate physicians' attitudes toward pharmacogenetic testing before and after pharmacogenetic education. METHODS In total, 12 physicians (˜40% response rate) completed a survey with eight questions on 10-point scales on their attitudes toward pharmacogenetic testing before and after a 1-h grand rounds presentation on pharmacogenetics. Differences in question scores overall, among training levels (resident/fellow/attending), and specific drugs (clopidogrel/simvastatin/warfarin) were assessed using Wilcoxon signed-rank and exact Kruskal-Wallis tests. RESULTS & CONCLUSION The scores for all eight questions increased, with statistically significant (p < 0.05) increases for four out of eight questions. The scores were similar among training levels, but the postscores for clopidogrel were significantly higher than for simvastatin and warfarin. In conclusion, brief pharmacogenetic education can significantly affect physicians' attitudes toward pharmacogenetic testing.
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Affiliation(s)
- Jasmine A Luzum
- Center for Pharmacogenomics, The Ohio State University Wexner Medical Center, 5084 Graves Hall, 333 W 10th Ave., Columbus, OH 43210, USA
| | - Matthew J Luzum
- Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.,Department of Pediatrics, Nationwide Children's Hospital, The Ohio State University Wexner Medical Center, Columbus, OH 43205, USA
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25
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Diekstra MHM, Swen JJ, Gelderblom H, Guchelaar HJ. A decade of pharmacogenomics research on tyrosine kinase inhibitors in metastatic renal cell cancer: a systematic review. Expert Rev Mol Diagn 2016; 16:605-18. [PMID: 26837796 DOI: 10.1586/14737159.2016.1148601] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE The individual response to targeted tyrosine kinase inhibitors (TKIs) in the treatment of metastatic renal cell cancer (mRCC) is highly variable. Outlined in this article are findings on potential biomarkers for TKI treatment outcome in mRCC and an evaluation of the status of clinical implementation. METHODS Articles were selected by two independent reviewers using a systematic search in five medical databases on renal cell carcinoma, TKIs, and pharmacogenetics. RESULTS Many researchers have focused on predictive biomarkers for treatment outcome of targeted therapies in mRCC patients. Attempts to explain differences in efficacy and toxicity of TKIs by use of genetic variants in genes related to the pharmacokinetics and pharmacodynamics of the drug have been successful. CONCLUSION Most findings on potential biomarkers have not been validated and therefore biomarker testing to guide choice of therapy and dose in mRCC is not yet feasible.
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Affiliation(s)
- Meta H M Diekstra
- a Department of Clinical Pharmacy and Toxicology , Leiden University Medical Center , Leiden , Netherlands
| | - Jesse J Swen
- a Department of Clinical Pharmacy and Toxicology , Leiden University Medical Center , Leiden , Netherlands
| | - Hans Gelderblom
- b Department of Medical Oncology , Leiden University Medical Center , Leiden , Netherlands
| | - Henk-Jan Guchelaar
- a Department of Clinical Pharmacy and Toxicology , Leiden University Medical Center , Leiden , Netherlands
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26
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Brixner D, Biltaji E, Bress A, Unni S, Ye X, Mamiya T, Ashcraft K, Biskupiak J. The effect of pharmacogenetic profiling with a clinical decision support tool on healthcare resource utilization and estimated costs in the elderly exposed to polypharmacy. J Med Econ 2016; 19:213-28. [PMID: 26478982 DOI: 10.3111/13696998.2015.1110160] [Citation(s) in RCA: 84] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE To compare healthcare resource utilization (HRU) and clinical decision-making for elderly patients based on cytochrome P450 (CYP) pharmacogenetic testing and the use of a comprehensive medication management clinical decision support tool (CDST), to a cohort of similar non-tested patients. METHODS An observational study compared a prospective cohort of patients ≥65 years subjected to pharmacogenetic testing to a propensity score (PS) matched historical cohort of untested patients in a claims database. Patients had a prescribed medication or dose change of at least one of 61 oral drugs or combinations of ≥3 drugs at enrollment. Four-month HRU outcomes examined included hospitalizations, emergency department (ED) and outpatient visits and provider acceptance of test recommendations. Costs were estimated using national data sources. RESULTS There were 205 tested patients PS matched to 820 untested patients. Hospitalization rate was 9.8% in the tested group vs. 16.1% in the untested group (RR = 0.61, 95% CI = 0.39-0.95, p = 0.027), ED visit rate was 4.4% in the tested group vs. 15.4% in the untested group (RR = 0.29, 95% CI = 0.15-0.55, p = 0.0002) and outpatient visit rate was 71.7% in the tested group vs. 36.5% in the untested group (RR = 1.97, 95% CI = 1.74-2.23, p < 0.0001). The rate of overall HRU was 72.2% in the tested group vs. 49.0% in the untested group (RR = 1.47, 95% CI = 1.32-1.64, p < 0.0001). Potential cost savings were estimated at $218 (mean) in the tested group. The provider majority (95%) considered the test helpful and 46% followed CDST provided recommendations. CONCLUSION Patients CYP DNA tested and treated according to the personalized prescribing system had a significant decrease in hospitalizations and emergency department visits, resulting in potential cost savings. Providers had a high satisfaction rate with the clinical utility of the system and followed recommendations when appropriate.
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Affiliation(s)
- D Brixner
- a a Department of Pharmacotherapy , College of Pharmacy, and Program in Personalized Health, University of Utah , Salt Lake City , UT , USA
| | - E Biltaji
- a a Department of Pharmacotherapy , College of Pharmacy, and Program in Personalized Health, University of Utah , Salt Lake City , UT , USA
| | - A Bress
- b b Department of Pharmacotherapy , College of Pharmacy, University of Utah , Salt Lake City , UT , USA
| | - S Unni
- b b Department of Pharmacotherapy , College of Pharmacy, University of Utah , Salt Lake City , UT , USA
| | - X Ye
- b b Department of Pharmacotherapy , College of Pharmacy, University of Utah , Salt Lake City , UT , USA
| | - T Mamiya
- c c Genelex Corporation , Seattle , WA , USA
| | - K Ashcraft
- c c Genelex Corporation , Seattle , WA , USA
| | - J Biskupiak
- a a Department of Pharmacotherapy , College of Pharmacy, and Program in Personalized Health, University of Utah , Salt Lake City , UT , USA
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27
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The Role of Pharmacogenomics to Guide Treatment in Mood and Anxiety Disorders. Curr Behav Neurosci Rep 2015. [DOI: 10.1007/s40473-015-0048-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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28
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Is your love in vain? On associations between genotypes, drug concentrations and clinical outcomes in pharmacogenomic research. Int J Clin Pharm 2015; 37:669-70. [PMID: 26184410 DOI: 10.1007/s11096-015-0167-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Accepted: 07/09/2015] [Indexed: 01/31/2023]
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29
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Returning pharmacogenetic secondary findings from genome sequencing: let’s not put the cart before the horse. Genet Med 2015; 17:854-6. [DOI: 10.1038/gim.2015.59] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2015] [Accepted: 04/02/2015] [Indexed: 12/13/2022] Open
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30
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Linares OA, Fudin J, Schiesser WE, Daly Linares AL, Boston RC. CYP2D6 Phenotype-Specific Codeine Population Pharmacokinetics. J Pain Palliat Care Pharmacother 2015; 29:4-15. [DOI: 10.3109/15360288.2014.997854] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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