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Hahn M, Frantz AM, Eckert A, Reif A. [Barriers for Implementation of PGx Testing in Psychiatric Hospitals in Germany: Results of the FACT-PGx Study]. FORTSCHRITTE DER NEUROLOGIE-PSYCHIATRIE 2024; 92:221-229. [PMID: 37130546 DOI: 10.1055/a-2060-0694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
OBJECTIVE The FACT-PGx study was conducted to analyze barriers to implementation of pharmacogenetic testing in psychiatric hospitals in Germany and to propose solutions for its faster and easier implementation in all hospitals. METHODS 104 patients (50% female) were genotyped and participated in the study. 67 completed a survey. To analyze the correlation between continuous data (age) of the survey, the wilcoxon rank test and for categorial data (education level, history of treatment and episodes), t-test was used. RESULTS No patient declined to be genotyped. 99% believed that genotyping could help to shorten their hospital stay. Patients >40 years of age and with higher educational levels were willing to pay for the PGx (p=0.009). On average, patients were willing to pay 117.42€ +/-140.49€ and to wait 15.83+/- 8.92 days for the results. Processes differed significantly between routine laboratory screening and PGx testing which could be a barrier for implementation. CONCLUSION Patients are not barriers to but enablers of an implementation of PGx. New process flows can be barriers, but can be overcome by optimization.
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Affiliation(s)
- Martina Hahn
- Klinik für Psychiatrie, Psychosomatik und Psychotherapie, Universitätsklinikum Frankfurt, Frankfurt am Main, Germany
- Klinik für psychische Gesundheit, varisano Klinikum Frankfurt Hoechst, Frankfurt, Germany
| | - Amelie Merle Frantz
- Klinik für Psychiatrie, Psychosomatik und Psychotherapie, Universitätsklinikum Frankfurt, Frankfurt am Main, Germany
| | - Andreas Eckert
- Klinik für Psychiatrie, Psychosomatik und Psychotherapie, Universitätsklinikum Frankfurt, Frankfurt am Main, Germany
| | - Andreas Reif
- Klinik für Psychiatrie, Psychosomatik und Psychotherapie, Universitätsklinikum Frankfurt, Frankfurt am Main, Germany
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Alkhatib O, Miles T, Jones RP, Mair R, Palmer R, Winter H, McDermott FD. Current and future genomic applications for surgeons. Ann R Coll Surg Engl 2024; 106:321-328. [PMID: 38555869 PMCID: PMC10981988 DOI: 10.1308/rcsann.2024.0031] [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] [Accepted: 03/04/2024] [Indexed: 04/02/2024] Open
Abstract
Genomics is a crucial part of managing surgical disease. This review focuses on some of the genomic advances that are available now and looks to the future of their application in surgical practice. Whole-genome sequencing enables unbiased coverage across the entire human genome of approximately three billion base pairs. Newer technologies, such as those that permit long-read sequence analysis, provide additional information in longer phased fragment and base pair epigenomic (methylomic) data. Whole-genome sequencing is currently available in England for cancers in children, teenagers and young adults, central nervous system tumours, sarcoma and haematological malignancies. Circulating tumour DNA (ctDNA), immunotherapy and pharmacogenomics have emerged as groundbreaking approaches in the field of cancer treatment. These are now revolutionising the way oncologists and surgeons approach curative cancer surgery. Cancer vaccines offer an innovative approach to reducing recurrence after surgery by priming the immune system to trigger an immune response. The Cancer Vaccine Launch Pad project facilitates cancer vaccine studies in England. The BNT122-01 trial is recruiting patients with ctDNA-positive high-risk colorectal cancer after surgery to assess the impact of cancer vaccines. The evolving landscape of cancer treatment demands a dynamic and integrated approach from the surgical multidisciplinary team. Immunotherapy, ctDNA, pharmacogenomics, vaccines, mainstreaming and whole-genome sequencing are just some of the innovations that have the potential to redefine the standards of care. The continued exploration of these innovative diagnostics and therapies, the genomic pathway evolution and their application in diverse cancer types highlights the transformative impact of precision medicine in surgery.
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Affiliation(s)
- O Alkhatib
- Liverpool University Teaching Hospitals NHS Foundation Trust, UK
| | - T Miles
- Southwest Genomics Medicine Service Alliance, UK
| | | | | | | | - H Winter
- University Hospitals Bristol and Weston NHS Foundation Trust, UK
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Chenchula S, Atal S, Uppugunduri CRS. A review of real-world evidence on preemptive pharmacogenomic testing for preventing adverse drug reactions: a reality for future health care. THE PHARMACOGENOMICS JOURNAL 2024; 24:9. [PMID: 38490995 PMCID: PMC10942860 DOI: 10.1038/s41397-024-00326-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 02/02/2024] [Accepted: 02/06/2024] [Indexed: 03/18/2024]
Abstract
Adverse drug reactions (ADRs) are a significant public health concern and a leading cause of hospitalization; they are estimated to be the fourth leading cause of death and increasing healthcare costs worldwide. Carrying a genetic variant could alter the efficacy and increase the risk of ADRs associated with a drug in a target population for commonly prescribed drugs. The use of pre-emptive pharmacogenetic/omic (PGx) testing can improve drug therapeutic efficacy, safety, and compliance by guiding the selection of drugs and/or dosages. In the present narrative review, we examined the current evidence of pre-emptive PGx testing-based treatment for the prevention of ADRs incidence and hospitalization or emergency department visits due to serious ADRs, thus improving patient safety. We then shared our perspective on the importance of preemptive PGx testing in clinical practice for the safe use of medicines and decreasing healthcare costs.
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Affiliation(s)
- Santenna Chenchula
- Department of Pharmacology, All India Institute of Medical Sciences (AIIMS), Bhopal, India
| | - Shubham Atal
- Department of Pharmacology, All India Institute of Medical Sciences (AIIMS), Bhopal, India
| | - Chakradhara Rao S Uppugunduri
- CANSEARCH Research Platform in Pediatric Oncology and Hematology, Department of Pediatrics, Gynecology and Obstetrics, University of Geneva, Geneva, Switzerland.
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Dolin RH, Shenvi E, Alvarez C, Barrows RC, Boxwala A, Lee B, Nathanson BH, Kleyner Y, Hagemann R, Hongsermeier T, Kapusnik-Uner J, Lakdawala A, Shalaby J. PillHarmonics: An Orchestrated Pharmacogenetics Medication Clinical Decision Support Service. Appl Clin Inform 2024; 15:378-387. [PMID: 38388174 PMCID: PMC11098593 DOI: 10.1055/a-2274-6763] [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] [Received: 10/24/2023] [Accepted: 02/07/2024] [Indexed: 02/24/2024] Open
Abstract
OBJECTIVES Pharmacogenetics (PGx) is increasingly important in individualizing therapeutic management plans, but is often implemented apart from other types of medication clinical decision support (CDS). The lack of integration of PGx into existing CDS may result in incomplete interaction information, which may pose patient safety concerns. We sought to develop a cloud-based orchestrated medication CDS service that integrates PGx with a broad set of drug screening alerts and evaluate it through a clinician utility study. METHODS We developed the PillHarmonics service for implementation per the CDS Hooks protocol, algorithmically integrating a wide range of drug interaction knowledge using cloud-based screening services from First Databank (drug-drug/allergy/condition), PharmGKB (drug-gene), and locally curated content (drug-renal/hepatic/race). We performed a user study, presenting 13 clinicians and pharmacists with a prototype of the system's usage in synthetic patient scenarios. We collected feedback via a standard questionnaire and structured interview. RESULTS Clinician assessment of PillHarmonics via the Technology Acceptance Model questionnaire shows significant evidence of perceived utility. Thematic analysis of structured interviews revealed that aggregated knowledge, concise actionable summaries, and information accessibility were highly valued, and that clinicians would use the service in their practice. CONCLUSION Medication safety and optimizing efficacy of therapy regimens remain significant issues. A comprehensive medication CDS system that leverages patient clinical and genomic data to perform a wide range of interaction checking and presents a concise and holistic view of medication knowledge back to the clinician is feasible and perceived as highly valuable for more informed decision-making. Such a system can potentially address many of the challenges identified with current medication-related CDS.
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Affiliation(s)
| | - Edna Shenvi
- Elimu Informatics, El Cerrito, California, United States
| | - Carla Alvarez
- Elimu Informatics, El Cerrito, California, United States
| | | | - Aziz Boxwala
- Elimu Informatics, El Cerrito, California, United States
| | - Benson Lee
- College of Pharmacy, Touro University California, Vallejo, California, United States
| | | | - Yelena Kleyner
- Elimu Informatics, El Cerrito, California, United States
| | - Rachel Hagemann
- Independent Contractor, San Francisco, California, United States
| | | | | | | | - James Shalaby
- Elimu Informatics, El Cerrito, California, United States
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Russell C, Campion M, Grove ME, Matsuda K, Klein TE, Ashley E, Naik H, Wheeler MT, Scott SA. Knowledge and attitudes on implementing cardiovascular pharmacogenomic testing. Clin Transl Sci 2024; 17:e13737. [PMID: 38421234 PMCID: PMC10903329 DOI: 10.1111/cts.13737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 12/22/2023] [Accepted: 01/23/2024] [Indexed: 03/02/2024] Open
Abstract
Pharmacogenomics has the potential to inform drug dosing and selection, reduce adverse events, and improve medication efficacy; however, provider knowledge of pharmacogenomic testing varies across provider types and specialties. Given that many actionable pharmacogenomic genes are implicated in cardiovascular medication response variability, this study aimed to evaluate cardiology providers' knowledge and attitudes on implementing clinical pharmacogenomic testing. Sixty-one providers responded to an online survey, including pharmacists (46%), physicians (31%), genetic counselors (15%), and nurses (8%). Most respondents (94%) reported previous genetics education; however, only 52% felt their genetics education prepared them to order a clinical pharmacogenomic test. In addition, most respondents (66%) were familiar with pharmacogenomics, with genetic counselors being most likely to be familiar (p < 0.001). Only 15% of respondents had previously ordered a clinical pharmacogenomic test and a total of 36% indicated they are likely to order a pharmacogenomic test in the future; however, the vast majority of respondents (89%) were interested in pharmacogenomic testing being incorporated into diagnostic cardiovascular genetic tests. Moreover, 84% of providers preferred pharmacogenomic panel testing compared to 16% who preferred single gene testing. Half of the providers reported being comfortable discussing pharmacogenomic results with their patients, but the majority (60%) expressed discomfort with the logistics of test ordering. Reported barriers to implementation included uncertainty about the clinical utility and difficulty choosing an appropriate test. Taken together, cardiology providers have moderate familiarity with pharmacogenomics and limited experience with test ordering; however, they are interested in incorporating pharmacogenomics into diagnostic genetic tests and ordering pharmacogenomic panels.
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Affiliation(s)
- Callan Russell
- Department of GeneticsStanford UniversityStanfordCaliforniaUSA
- Present address:
Northside HospitalAtlantaGeorgiaUSA
| | - MaryAnn Campion
- Department of GeneticsStanford UniversityStanfordCaliforniaUSA
| | - Megan E. Grove
- Clinical Genomics LaboratoryStanford MedicinePalo AltoCaliforniaUSA
- Present address:
Color HealthBurlingameCaliforniaUSA
| | - Kelly Matsuda
- Division of Pharmacy and CardiologyStanford Health CarePalo AltoCaliforniaUSA
| | - Teri E. Klein
- Department of Biomedical Data ScienceStanford UniversityStanfordCaliforniaUSA
| | - Euan Ashley
- Stanford Center for Inherited Cardiovascular DiseaseStanfordCaliforniaUSA
- Department of Medicine, Division of Cardiovascular MedicineStanford UniversityStanfordCaliforniaUSA
| | - Hetanshi Naik
- Department of GeneticsStanford UniversityStanfordCaliforniaUSA
| | - Matthew T. Wheeler
- Stanford Center for Inherited Cardiovascular DiseaseStanfordCaliforniaUSA
- Department of Medicine, Division of Cardiovascular MedicineStanford UniversityStanfordCaliforniaUSA
| | - Stuart A. Scott
- Clinical Genomics LaboratoryStanford MedicinePalo AltoCaliforniaUSA
- Department of PathologyStanford UniversityStanfordCaliforniaUSA
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6
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Huh KY, Hwang S, Na JY, Yu K, Jang I, Chung J, Yoon S. Estimation of the benefit from pre-emptive genotyping based on the nationwide cohort data in South Korea. Clin Transl Sci 2024; 17:e13772. [PMID: 38501281 PMCID: PMC10949179 DOI: 10.1111/cts.13772] [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: 11/12/2023] [Revised: 01/29/2024] [Accepted: 02/28/2024] [Indexed: 03/20/2024] Open
Abstract
Genetic variants affect drug responses, making pre-emptive genotyping crucial for averting serious adverse events (SAEs) and treatment failure. However, assessing the benefits of pre-emptive genotyping based on genetic distribution, drug exposure, and demographics is challenging. This study aimed to estimate the population-level benefits of pre-emptive genotyping in the Korean population using nationwide cohort data. We reviewed actionable gene-drug combinations recommended by both the Clinical Pharmacogenomics Implementation Consortium (CPIC) and the Dutch Pharmacogenetics Working Group (DPWG) as of February 2022, identifying high-risk phenotypes. We collected reported risk reduction from genotyping and standardized it into population attributable risks. Healthcare reimbursement costs for SAEs and treatment failures were obtained from the Health Insurance Review and Assessment Service Statistics in 2021. The benefits of pre-emptive genotyping for a specific group were determined by multiplying drug exposure from nationwide cohort data by individual genotyping benefits. We identified 31 gene-drug-event pairs, with CYP2D6 and CYP2C19 demonstrating the greatest benefits for both male and female patients. Individuals aged 65-70 years had the highest individual benefit from pre-emptive genotyping, with $84.40 for men and $100.90 for women. Pre-emptive genotyping, particularly for CYP2D6 and CYP2C19, can provide substantial benefits.
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Affiliation(s)
- Ki Young Huh
- Department of Clinical Pharmacology and TherapeuticsSeoul National University College of MedicineSeoulSouth Korea
- Department of Clinical Pharmacology and TherapeuticsSeoul National University HospitalSeoulSouth Korea
| | - Sejung Hwang
- Department of Clinical Pharmacology and TherapeuticsSeoul National University College of MedicineSeoulSouth Korea
- Department of Clinical Pharmacology and TherapeuticsSeoul National University HospitalSeoulSouth Korea
| | - Joo Young Na
- Department of Clinical Pharmacology and TherapeuticsSeoul National University College of MedicineSeoulSouth Korea
- Department of Clinical Pharmacology and TherapeuticsSeoul National University HospitalSeoulSouth Korea
| | - Kyung‐Sang Yu
- Department of Clinical Pharmacology and TherapeuticsSeoul National University College of MedicineSeoulSouth Korea
- Department of Clinical Pharmacology and TherapeuticsSeoul National University HospitalSeoulSouth Korea
| | - In‐Jin Jang
- Department of Clinical Pharmacology and TherapeuticsSeoul National University College of MedicineSeoulSouth Korea
- Department of Clinical Pharmacology and TherapeuticsSeoul National University HospitalSeoulSouth Korea
| | - Jae‐Yong Chung
- Department of Clinical Pharmacology and TherapeuticsSeoul National University College of MedicineSeoulSouth Korea
- Department of Clinical Pharmacology and TherapeuticsSeoul National University Bundang HospitalGyeonggi‐doSouth Korea
| | - Seonghae Yoon
- Department of Clinical Pharmacology and TherapeuticsSeoul National University College of MedicineSeoulSouth Korea
- Department of Clinical Pharmacology and TherapeuticsSeoul National University Bundang HospitalGyeonggi‐doSouth Korea
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Zhou Y, Lauschke VM. Next-generation sequencing in pharmacogenomics - fit for clinical decision support? Expert Rev Clin Pharmacol 2024; 17:213-223. [PMID: 38247431 DOI: 10.1080/17512433.2024.2307418] [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: 10/16/2023] [Accepted: 01/16/2024] [Indexed: 01/23/2024]
Abstract
INTRODUCTION The technological advances of sequencing methods during the past 20 years have fuelled the generation of large amounts of sequencing data that comprise common variations, as well as millions of rare and personal variants that would not be identified by conventional genotyping. While comprehensive sequencing is technically feasible, its clinical utility for guiding personalized treatment decisions remains controversial. AREAS COVERED We discuss the opportunities and challenges of comprehensive sequencing compared to targeted genotyping for pharmacogenomic applications. Current pharmacogenomic sequencing panels are heterogeneous and clinical actionability of the included genes is not a major focus. We provide a current overview and critical discussion of how current studies utilize sequencing data either retrospectively from biobanks, databases or repurposed diagnostic sequencing, or prospectively using pharmacogenomic sequencing. EXPERT OPINION While sequencing-based pharmacogenomics has provided important insights into genetic variations underlying the safety and efficacy of a multitude pharmacological treatments, important hurdles for the clinical implementation of pharmacogenomic sequencing remain. We identify gaps in the interpretation of pharmacogenetic variants, technical challenges pertaining to complex loci and variant phasing, as well as unclear cost-effectiveness and incomplete reimbursement. It is critical to address these challenges in order to realize the promising prospects of pharmacogenomic sequencing.
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Affiliation(s)
- Yitian Zhou
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Volker M Lauschke
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
- Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
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8
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Hellwig LD, Turner C, Olsen C, Libbus J, Markos B, Koehlmoos T, Haigney M, De Castro M, Saunders D. Assessing Clinical Utility of Pharmacogenetic Testing in the Military Health System. Mil Med 2024; 189:e198-e204. [PMID: 37436924 PMCID: PMC11022329 DOI: 10.1093/milmed/usad254] [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: 02/17/2023] [Revised: 05/23/2023] [Accepted: 06/30/2023] [Indexed: 07/14/2023] Open
Abstract
INTRODUCTION Response to medications can differ widely among individual patients. Adverse drug reactions can lead to serious morbidity and mortality. Pharmacogenetic (PGx) testing can predict responses to medications and increased risks of adverse events where the genetic basis is understood. Several published manuscripts suggest positive impacts of systematic preemptive PGx testing. However, few studies have been conducted on PGx implementation in the Military Health System (MHS). MATERIAL AND METHODS A cross-sectional study of adult beneficiaries in a primary care clinic at a large military treatment facility was conducted in 2022. Participants underwent PGx genotyping of CYP2C19 and CYP2D6 genes at the Defense Health Agency Genetics Reference Laboratory. Participant medication lists were compared to the current Clinical Pharmacogenetic Implementation Consortium (CPIC) PGx gene-drug guidelines to assess potential actionability of these results. RESULTS Genotyping of CYP2C19 and CYP2D6 in 165 MHS beneficiaries (mean age: 65 years) revealed that 81.2% of participants had at least one abnormal PGx finding. Among those with an abnormal PGx result, 65% were taking a medication listed on the CPIC website with an association with the particular gene in which the finding was identified. In addition, 78% of all of the participants in the study were taking at least one medication that is metabolized by CYP2C19 or CYP2D6 with associated CPIC guidelines. CONCLUSIONS Pharmacogenetic testing for CYP2C19 and CYP2D6 identified a substantial proportion of MHS patients at a single center who could benefit from evaluation of current medication regimens based on the CPIC guidelines. Individualized medical management may be warranted to a greater degree than previously recognized based on the findings given possible differences in medication metabolism. Many MHS beneficiaries already take medications metabolized by CYP2C19 and CYP2D6, and a substantial proportion may be at risk for preventable adverse events for medications metabolized by these enzymes. While preliminary, a large number of actionable polymorphisms among a relatively small set of individuals taking at-risk medications suggest that implementing PGx testing in clinical practice may be beneficial in the MHS with appropriate clinical infrastructure.
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Affiliation(s)
- Lydia D Hellwig
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD 20817, USA
- Center for Military Precision Health (CMPH), Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
- Department of Pediatrics, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
| | - Clesson Turner
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20894, USA
| | - Cara Olsen
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
| | - Joya Libbus
- Military Cardiovascular Outcomes Research, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
- Metis Foundation, San Antonio, TX 78216, USA
| | - Bethelhem Markos
- Military Cardiovascular Outcomes Research, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
- Metis Foundation, San Antonio, TX 78216, USA
| | - Tracey Koehlmoos
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
| | - Mark Haigney
- Military Cardiovascular Outcomes Research, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
- Department of Medicine, Uniformed Services University of the Health Sciences, Uniformed Services University, Bethesda,, MD 20814, USA
| | - Mauricio De Castro
- Keesler Air Force Base, 81st Medical Operations Squadron, Biloxi, MS 39534, USA
| | - David Saunders
- Department of Medicine, Uniformed Services University of the Health Sciences, Uniformed Services University, Bethesda,, MD 20814, USA
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Vnencak-Jones CL, Saucier LAG, Liu M, Gatto CL, Peterson JF. Pharmacogenomics: Genotype-Driven Medicine. J Appl Lab Med 2024; 9:183-186. [PMID: 38167767 DOI: 10.1093/jalm/jfad064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 08/07/2023] [Indexed: 01/05/2024]
Affiliation(s)
- Cindy L Vnencak-Jones
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Leigh Ann G Saucier
- Vanderbilt Institute for Clinical & Translational Research, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Michelle Liu
- Department of Pharmacy, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Cheryl L Gatto
- Vanderbilt Institute for Clinical & Translational Research, Vanderbilt University Medical Center, Nashville, TN, United States
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Josh F Peterson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
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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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Lteif C, Eddy E, Terrell J, Cavallari LH, Malaty J, Duarte JD. Feasibility of preemptive pharmacogenetic testing and improvement of medication treatment satisfaction among medically underserved patients. Clin Transl Sci 2024; 17:e13692. [PMID: 38013396 PMCID: PMC10772669 DOI: 10.1111/cts.13692] [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: 06/23/2023] [Revised: 11/06/2023] [Accepted: 11/06/2023] [Indexed: 11/29/2023] Open
Abstract
Previous findings suggest that medically underserved patients are prescribed medications with pharmacogenetic (PGx) guidelines at a high frequency. Thus, underserved patients may especially benefit from PGx testing, but little evidence exists regarding the effect of testing in this population. This pilot study aimed to generate key feasibility data and explore clinical outcomes of PGx implementation in underserved populations. Black and Latino patients were recruited from an outpatient clinic and underwent PGx testing. Feasibility measures included enrollment metrics and actionable genotype frequencies. The primary clinical outcome was patient medication treatment satisfaction 6 months after testing. Implementation outcomes included the number of healthcare provider encounters and medication changes within the 6-month follow-up. Effectiveness outcomes included medication adherence, patient-perceived test value, and time spent discussing medications with providers. Ninety-nine patients completed the study. Proton-pump inhibitors were the most frequent PGx drug class prescribed at baseline (61%) followed by nonsteroidal anti-inflammatory drugs (36%). Patients with an actionable genotype constituted 96% of the population, whereas 28% had an actionable genotype related to their PGx drug. Patient treatment satisfaction significantly increased over the 6 months after PGx testing. In addition, medication adherence and the number of provider encounters significantly increased over the study period. In a pilot study, preemptive PGx testing was feasible in primary care clinics, improved patient treatment satisfaction and adherence, and increased the number of provider encounters in medically underserved patients. Future clinical trials are warranted to assess the long-term effects of PGx testing in a larger diverse patient population.
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Affiliation(s)
- Christelle Lteif
- Center for Pharmacogenomics and Precision Medicine and Department of Pharmacotherapy and Translational Research, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
| | - Elizabeth Eddy
- Center for Pharmacogenomics and Precision Medicine and Department of Pharmacotherapy and Translational Research, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
| | - Joshua Terrell
- Center for Pharmacogenomics and Precision Medicine and Department of Pharmacotherapy and Translational Research, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
| | - Larisa H. Cavallari
- Center for Pharmacogenomics and Precision Medicine and Department of Pharmacotherapy and Translational Research, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
| | - John Malaty
- Department of Community Health and Family Medicine, College of MedicineUniversity of FloridaGainesvilleFloridaUSA
| | - Julio D. Duarte
- Center for Pharmacogenomics and Precision Medicine and Department of Pharmacotherapy and Translational Research, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
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Lemke LK, Cicali EJ, Williams R, Nguyen KA, Cavallari LH, Wiisanen K. Clinician Response to Pharmacogenetic Clinical Decision Support Alerts. Clin Pharmacol Ther 2023; 114:1350-1357. [PMID: 37716912 PMCID: PMC10726431 DOI: 10.1002/cpt.3051] [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] [Received: 05/09/2023] [Accepted: 08/09/2023] [Indexed: 09/18/2023]
Abstract
The objective of this study was to characterize clinician response following standardization of pharmacogenetic (PGx) clinical decision support alerts at University of Florida (UF) Health. A retrospective analysis of all PGx alerts that fired at a tertiary academic medical center from August 2020 through May 2022 was performed. Alert acceptance rate was calculated and compared across six gene-drug pairs, patient care setting, and clinician specialty. The disposition of the triggering medication was compared with the alert response and evaluated for congruence. There were a total of 818 alerts included for analysis of alert response, 557 alerts included in acceptance rate calculations, and 392 alerts with sufficient information to assess clinical response. The overall acceptance rate was 63%. The alert response and clinical response were congruent for 47% of alerts. Alert response was influenced by the triggering gene-drug pair, clinician specialty, patient care setting, and specialty of the provider who initially ordered the PGx test. Clinical response was mostly incongruent with alert response. Alert acceptance is influenced by the triggering gene-drug pair, clinician specialty, and care setting. Alert response is not a reliable surrogate marker for clinical action. Any future research into the impact of clinical decision support (CDS) alerts should focus on clinical response rather than alert response. Given the reliance on CDS alerts to enhance uptake of PGx, it is worthwhile to further investigate their impact on prescribing and patient outcomes.
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Affiliation(s)
- Lauren K Lemke
- Pharmacotherapy and Translational Research, University of Florida, Gainesville, USA
| | - Emily J Cicali
- Pharmacotherapy and Translational Research, University of Florida, Gainesville, USA
| | - Roy Williams
- Pharmacotherapy and Translational Research, University of Florida, Gainesville, USA
| | - Khoa A Nguyen
- Pharmacotherapy and Translational Research, University of Florida, Gainesville, USA
| | - Larisa H Cavallari
- Pharmacotherapy and Translational Research, University of Florida, Gainesville, USA
| | - Kristin Wiisanen
- Pharmacotherapy and Translational Research, University of Florida, Gainesville, USA
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13
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Raupach L, Königs C. PharmoCo: a graph-based visualization of pharmacogenomic plausibility check reports for clinical decision support systems. J Integr Bioinform 2023; 20:jib-2023-0026. [PMID: 38150373 PMCID: PMC10777363 DOI: 10.1515/jib-2023-0026] [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: 06/30/2023] [Accepted: 12/08/2023] [Indexed: 12/29/2023] Open
Abstract
The first approaches in recent years for the integration of pharmacogenomic plausibility checks into clinical practice show both a promising improvement in the drug therapy safety, but also difficulties in application. One of the difficulties is the meaningful interpretation of the text-based results by the medical practitioner. We propose here as an appropriate and sensible solution to avoid misunderstandings and to include evidence-based, pharmacogenomic recommendations in prescriptions, which should be the graph-based visualization of the reports. This allows for a plausible interpretation and relate complex, even contradictory guidelines. The improved overview over the pharmacogenomics (PGx) guidelines using the graphical visualization makes the medical practitioner's choice of dose and medication more patient-specific, improves the treatment outcome and thus, increases the drug therapy safety.
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Affiliation(s)
- Lena Raupach
- Faculty of Technology, Bioinformatics/Medical Informatics Department, Bielefeld University, D-33501Bielefeld, Germany
- ID Information und Dokumentation im Gesundheitswesen GmbH & Co. KGaA, D-10115Berlin, Germany
| | - Cassandra Königs
- Faculty of Technology, Bioinformatics/Medical Informatics Department, Bielefeld University, D-33501Bielefeld, Germany
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14
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Bousman CA, Maruf AA, Marques DF, Brown LC, Müller DJ. The emergence, implementation, and future growth of pharmacogenomics in psychiatry: a narrative review. Psychol Med 2023; 53:7983-7993. [PMID: 37772416 PMCID: PMC10755240 DOI: 10.1017/s0033291723002817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 08/24/2023] [Accepted: 08/30/2023] [Indexed: 09/30/2023]
Abstract
Psychotropic medication efficacy and tolerability are critical treatment issues faced by individuals with psychiatric disorders and their healthcare providers. For some people, it can take months to years of a trial-and-error process to identify a medication with the ideal efficacy and tolerability profile. Current strategies (e.g. clinical practice guidelines, treatment algorithms) for addressing this issue can be useful at the population level, but often fall short at the individual level. This is, in part, attributed to interindividual variation in genes that are involved in pharmacokinetic (i.e. absorption, distribution, metabolism, elimination) and pharmacodynamic (e.g. receptors, signaling pathways) processes that in large part, determine whether a medication will be efficacious or tolerable. A precision prescribing strategy know as pharmacogenomics (PGx) assesses these genomic variations, and uses it to inform selection and dosing of certain psychotropic medications. In this review, we describe the path that led to the emergence of PGx in psychiatry, the current evidence base and implementation status of PGx in the psychiatric clinic, and finally, the future growth potential of precision psychiatry via the convergence of the PGx-guided strategy with emerging technologies and approaches (i.e. pharmacoepigenomics, pharmacomicrobiomics, pharmacotranscriptomics, pharmacoproteomics, pharmacometabolomics) to personalize treatment of psychiatric disorders.
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Affiliation(s)
- Chad A. Bousman
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Psychiatry, University of Calgary, AB, Canada
- Department of Medical Genetics, University of Calgary, Calgary, AB, Canada
- Departments of Physiology and Pharmacology, and Community Health Sciences, University of Calgary, Calgary, AB, Canada
- AB Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada
- Department of Psychiatry, University of Melbourne, Melbourne, VIC, Australia
| | - Abdullah Al Maruf
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Psychiatry, University of Calgary, AB, Canada
- College of Pharmacy, Rady Faculty of Health Sciences, Winnipeg, MB, Canada
| | | | | | - Daniel J. Müller
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Wurzburg, Wurzburg, Germany
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15
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Peruzzi E, Roncato R, De Mattia E, Bignucolo A, Swen JJ, Guchelaar HJ, Toffoli G, Cecchin E. Implementation of pre-emptive testing of a pharmacogenomic panel in clinical practice: Where do we stand? Br J Clin Pharmacol 2023. [PMID: 37926674 DOI: 10.1111/bcp.15956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/19/2023] [Accepted: 10/20/2023] [Indexed: 11/07/2023] Open
Abstract
Adverse drug reactions (ADRs) account for a large proportion of hospitalizations among adults and are more common in multimorbid patients, worsening clinical outcomes and burdening healthcare resources. Over the past decade, pharmacogenomics has been developed as a practical tool for optimizing treatment outcomes by mitigating the risk of ADRs. Some single-gene reactive tests are already used in clinical practice, including the DPYD test for fluoropyrimidines, which demonstrates how integrating pharmacogenomic data into routine care can improve patient safety in a cost-effective manner. The evolution from reactive single-gene testing to comprehensive pre-emptive genotyping panels holds great potential for refining drug prescribing practices. Several implementation projects have been conducted to test the feasibility of applying different genetic panels in clinical practice. Recently, the results of a large prospective randomized trial in Europe (the PREPARE study by Ubiquitous Pharmacogenomics consortium) have provided the first evidence that prospective application of a pre-emptive pharmacogenomic test panel in clinical practice, in seven European healthcare systems, is feasible and yielded a 30% reduction in the risk of developing clinically relevant toxicities. Nevertheless, some important questions remain unanswered and will hopefully be addressed by future dedicated studies. These issues include the cost-effectiveness of applying a pre-emptive genotyping panel, the role of multiple co-medications, the transferability of currently tested pharmacogenetic guidelines among patients of non-European origin and the impact of rare pharmacogenetic variants that are not detected by currently used genotyping approaches.
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Affiliation(s)
- Elena Peruzzi
- Experimental and Clinical Pharmacology, Centro di Riferimento Oncologico di Aviano, Istituti di Ricovero e Cura a Carattere Scientifico, Aviano, Italy
| | - Rossana Roncato
- Experimental and Clinical Pharmacology, Centro di Riferimento Oncologico di Aviano, Istituti di Ricovero e Cura a Carattere Scientifico, Aviano, Italy
- Department of Medicine, University of Udine, Udine, Italy
| | - Elena De Mattia
- Experimental and Clinical Pharmacology, Centro di Riferimento Oncologico di Aviano, Istituti di Ricovero e Cura a Carattere Scientifico, Aviano, Italy
| | - Alessia Bignucolo
- Experimental and Clinical Pharmacology, Centro di Riferimento Oncologico di Aviano, Istituti di Ricovero e Cura a Carattere Scientifico, Aviano, Italy
| | - Jesse J Swen
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands
| | - Giuseppe Toffoli
- Experimental and Clinical Pharmacology, Centro di Riferimento Oncologico di Aviano, Istituti di Ricovero e Cura a Carattere Scientifico, Aviano, Italy
| | - Erika Cecchin
- Experimental and Clinical Pharmacology, Centro di Riferimento Oncologico di Aviano, Istituti di Ricovero e Cura a Carattere Scientifico, Aviano, Italy
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16
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Ye Z, Mayer J, Leary EJ, Kitchner T, Dart RA, Brilliant MH, Hebbring SJ. Estimating the efficacy of pharmacogenomics over a lifetime. Front Med (Lausanne) 2023; 10:1006743. [PMID: 38020121 PMCID: PMC10645151 DOI: 10.3389/fmed.2023.1006743] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 07/10/2023] [Indexed: 12/01/2023] Open
Abstract
It is well known that common variants in specific genes influence drug metabolism and response, but it is currently unknown what fraction of patients are given prescriptions over a lifetime that could be contraindicated by their pharmacogenomic profiles. To determine the clinical utility of pharmacogenomics over a lifetime in a general patient population, we sequenced the genomes of 300 deceased Marshfield Clinic patients linked to lifelong medical records. Genetic variants in 33 pharmacogenes were evaluated for their lifetime impact on drug prescribing using extensive electronic health records. Results show that 93% of the 300 deceased patients carried clinically relevant variants. Nearly 80% were prescribed approximately three medications on average that may have been impacted by these variants. Longitudinal data suggested that the optimal age for pharmacogenomic testing was prior to age 50, but the optimal age is greatly influenced by the stability of the population in the healthcare system. This study emphasizes the broad clinical impact of pharmacogenomic testing over a lifetime and demonstrates the potential application of genomic medicine in a general patient population for the advancement of precision medicine.
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Hjemås BJ, Bøvre K, Bjerknes K, Mathiesen L, Mellingsaeter MCR, Molden E. Implementation of pharmacogenetic testing in medication reviews in a hospital setting. Br J Clin Pharmacol 2023; 89:3116-3125. [PMID: 37277227 DOI: 10.1111/bcp.15815] [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: 01/16/2023] [Revised: 05/15/2023] [Accepted: 05/28/2023] [Indexed: 06/07/2023] Open
Abstract
AIM To investigate whether it is feasible to perform pharmacogenetic testing and implement the test results as part of medication reviews during hospitalization of multimorbid patients. METHODS Patients with ≥2 chronic conditions and ≥5 regular drugs with at least one potential gene-drug interaction (GDI) were included from one geriatric and one cardiology ward for pharmacogenetic testing. After inclusion by the study pharmacist, blood samples were collected and shipped to the laboratory for analysis. For patients still hospitalized at the time when the pharmacogenetic test results were available, the information was used in medication reviews. Recommendations from the pharmacist on actionable GDIs were communicated to the hospital physicians, who subsequently decided on potential immediate changes or forwarded suggestions in referrals to general practitioners. RESULTS The pharmacogenetic test results were available for medication review in 18 of the 46 patients (39.1%), where median length of hospital stay was 4.7 days (1.6-18.3). The pharmacist recommended medication changes for 21 of 49 detected GDIs (42.9%). The hospital physicians accepted 19 (90.5%) of the recommendations. The most commonly detected GDIs involved metoprolol (CYP2D6 genotype), clopidogrel (CYP2C19 genotype) and atorvastatin (CYP3A4/5 and SLCOB1B1 genotype). CONCLUSIONS The study shows that implementation of pharmacogenetic testing for medication review of hospitalized patients has the potential to improve drug treatment before being transferred to primary care. However, the logistics workflow needs to be further optimized, as test results were available during hospitalization for less than half of the patients included in the study.
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Affiliation(s)
| | - Katrine Bøvre
- Hospital Pharmacies Enterprise, South Eastern Norway, Oslo, Norway
| | | | - Liv Mathiesen
- Department of Pharmacy, University of Oslo, Oslo, Norway
| | | | - Espen Molden
- Department of Pharmacy, University of Oslo, Oslo, Norway
- Center for Psychopharmacology, Diakonhjemmet Hospital, Oslo, Norway
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18
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Norris M, Dalton R, Alam B, Eddy E, Nguyen KA, Cavallari LH, Sumfest J, Wiisanen K, Cicali EJ. Lessons from clinical implementation of a preemptive pharmacogenetic panel as part of a testing pilot program with an employer-sponsored medical plan. Front Genet 2023; 14:1249003. [PMID: 37680199 PMCID: PMC10482099 DOI: 10.3389/fgene.2023.1249003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 08/07/2023] [Indexed: 09/09/2023] Open
Abstract
Introduction: This manuscript reports on a pilot program focused on implementing pharmacogenetic testing within the framework of an employer-sponsored medical plan at University of Florida (UF) Health. The aim was to understand the challenges associated with program implementation and to gather insights into patient attitudes towards PGx testing. Methods: The pilot program adopted a partially preemptive approach, targeting patients on current prescriptions for medications with relevant gene-drug associations. Patients were contacted via phone or through the MyChart system and offered pharmacogenetic testing with no additional direct costs. Results: Of 244 eligible patients, 110 agreed to participate. However, only 61 returned the mailed DNA collection kits. Among these, 89% had at least one potentially actionable genotype-based phenotype. Post-test follow-up revealed that while the majority viewed the process positively, 71% preferred a consultation with a pharmacogenetic specialist for better understanding of their results. Barriers to implementation ranged from fatigue with the healthcare system to a lack of understanding of the pharmacogenetic testing and concerns about privacy and potential misuse of genetic data. Conclusion: The findings underscore the need for clearer patient education on pharmacogenetic results and suggest the importance of the role of pharmacogenetic-trained pharmacists in delivering this education. They also highlight issues with relying on incomplete or inaccurate medication lists in patients' electronic health record. The implementation revealed less obvious challenges, the understanding of which could be beneficial for the success of future preemptive pharmacogenetic implementation programs. The insights from the pilot program served to bridge the information gap between patients, providers, and pharmacogenetic -specialists, with the ultimate goal of improving patient care.
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Affiliation(s)
- Madeline Norris
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, United States
| | - Rachel Dalton
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, United States
| | - Benish Alam
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, United States
| | - Elizabeth Eddy
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, United States
| | - Khoa A. Nguyen
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, United States
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL, United States
| | - Larisa H. Cavallari
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, United States
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL, United States
| | - Jill Sumfest
- GatorCare Health Management Corporation, University of Florida Health, Gainesville, FL, United States
| | - Kristin Wiisanen
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, United States
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL, United States
| | - Emily J. Cicali
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, United States
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL, United States
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19
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Gallaway KA, Cann K, Oetting K, Rothenberger M, Raibulet A, Slaven JE, Suhrie K, Tillman EM. The Potential Impact of Preemptive Pharmacogenetic Genotyping in the Neonatal Intensive Care Unit. J Pediatr 2023; 259:113489. [PMID: 37201679 DOI: 10.1016/j.jpeds.2023.113489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/26/2023] [Accepted: 05/10/2023] [Indexed: 05/20/2023]
Abstract
OBJECTIVE To evaluate the use of drugs with pharmacogenomic (PGx) guidelines from the Clinical Pharmacogenetics Implementation Consortium in early childhood. STUDY DESIGN A retrospective observational study of patients admitted to the neonatal intensive care (NICU) between 2005 and 2018 with at least 1 subsequent hospitalization at or after 5 years of age was performed to determine PGx drug exposure. Data regarding hospitalizations, drug exposures, gestational age, birth weight, and congenital anomalies and/or a primary genetic diagnosis were collected. Incidence of PGx drug and drug class exposures was determined and patient specific factors predictive of exposure were investigated. RESULTS During the study, 19 195 patients received NICU care and 4196 (22%) met study inclusion; 67% received 1-2, 28% 3-4, and 5% 5 or more PGx-drugs in early childhood. Preterm gestation, low birth weight (<2500 g), and the presence of any congenital anomalies and/or a primary genetic diagnosis were statistically significant predictors of Clinical Pharmacogenetics Implementation Consortium drug exposures (P < .01, P < .01, P < .01, respectively). CONCLUSIONS Preemptive PGx testing in patients in the NICU could have a significant impact on medical management during the NICU stay and throughout early childhood.
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Affiliation(s)
- Katherine A Gallaway
- Division of Pediatric Critical Care, Indiana University School of Medicine, Indianapolis, IN
| | - Kayla Cann
- Purdue University College of Pharmacy, Purdue University, West Lafayette, IN
| | - Katherine Oetting
- Purdue University College of Pharmacy, Purdue University, West Lafayette, IN
| | - Mary Rothenberger
- Purdue University College of Pharmacy, Purdue University, West Lafayette, IN
| | - Andra Raibulet
- College of Pharmacy and Health Sciences, Butler University, Indianapolis, IN
| | - James E Slaven
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN
| | - Kristen Suhrie
- Division of Neonatology, Department of Pediatrics, and Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Emma M Tillman
- Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN.
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20
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Zeuli JD, Rivera CG, Wright JA, Kasten MJ, Mahmood M, Ragan AK, Rizza SA, Temesgen Z, Vergidis P, Wilson JW, Cummins NW. Pharmacogenomic panel testing provides insight and enhances medication management in people with HIV. AIDS 2023; 37:1525-1533. [PMID: 37199600 DOI: 10.1097/qad.0000000000003598] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
OBJECTIVE Our study aimed to assess the impact of pharmacogenomic panel testing in people with HIV (PWH). DESIGN Prospective, observational intervention assessment. METHODS One hundred PWH were provided a comprehensive pharmacogenomic panel during routine care visits within the HIV specialty clinic of a large academic medical center. The panel determined the presence of specific genetic variants that could predict response or toxicity to commonly prescribed antiretroviral therapy (ART) and non-ART medications. An HIV specialty pharmacist reviewed the results with participants and the care team. The pharmacist (1) recommended clinically actionable interventions based on the participants' current drug therapy, (2) assessed for genetic explanations for prior medication failures, adverse effects, or intolerances, and (3) advised on potential future clinically actionable care interventions based on individual genetic phenotypes. RESULTS Ninety-six participants (median age 53 years, 74% white, 84% men, 89% viral load <50 copies/ml) completed panel testing, yielding 682 clinically relevant pharmacogenomic results (133 major, 549 mild-moderate). Ninety participants (89 on ART) completed follow-up visits with 65 (72%) receiving clinical recommendations based on current medication profiles. Of the 105 clinical recommendations, 70% advised additional monitoring for efficacy or toxicity, and 10% advised alteration of drug therapy. Panel results offered explanation for prior ART inefficacy in one participant and ART intolerance in 29%. Genetic explanation for non-ART toxicity was seen in 21% of participants, with genetic contributors to inefficacy of non-ART therapy identified in 39% of participants. CONCLUSION Preliminary data in a small cohort of PWH demonstrates benefit of routine pharmacogenomic panel testing.
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Affiliation(s)
- John D Zeuli
- Department of Pharmacy
- Section of Infectious Diseases
| | | | - Jessica A Wright
- Department of Pharmacy
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, USA
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21
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Cecchin E, Posocco B, Mezzalira S, Appetecchia M, Toffoli G. The Role of Gender Pharmacogenetics in the Personalization of Drug Treatment. J Pharmacol Exp Ther 2023; 386:190-197. [PMID: 37001987 DOI: 10.1124/jpet.122.001416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 03/21/2023] [Indexed: 07/20/2023] Open
Abstract
The use of pharmacogenetic guidelines in personalizing treatments has shown the potential to reduce interindividual variability in drug response by enabling genotype-matched dosing and drug selection. However, other important factors, such as patient gender, may interact strongly with pharmacogenetics in determining the individual profile of toxicity and efficacy but are still rarely considered when planning pharmacological treatment. The literature indicates that males and females respond differently to drugs, with women being at higher risk for toxicity and having different plasma exposure to drugs at standard doses. Recent studies have shown that pharmacogenetic variants may have different predictive value in different sexes, as in the case of treatment with opioids, angiotensin-converting enzyme inhibitors, or proton pump inhibitors. Of particular interest is the case of treatment with fluoropyrimidines for cancer. A significant increase in toxicity has been described in female patients, with a more pronounced effect of specific DPYD and TYMS polymorphisms also noted. This manuscript reviews the major findings in the field of sex-specific pharmacogenomics. SIGNIFICANCE STATEMENT: Interindividual variability in drug response is an emerging issue in pharmacology. The genetic profile of patients, as well as their gender, may play a role in the identification of patients more exposed to the risk of adverse drug reactions or poor efficacy. This article reviews the current state of research on the interaction between gender and pharmacogenetics in addressing interindividual variability.
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Affiliation(s)
- Erika Cecchin
- Experimental and Clinical Pharmacology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano PN, Italy (E.C., B.P., S.M., G.T.); and Oncological Endocrinology Unit, IRCCS Regina Elena National Cancer Institute-IFO, Rome, Italy (M.A.)
| | - Bianca Posocco
- Experimental and Clinical Pharmacology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano PN, Italy (E.C., B.P., S.M., G.T.); and Oncological Endocrinology Unit, IRCCS Regina Elena National Cancer Institute-IFO, Rome, Italy (M.A.)
| | - Silvia Mezzalira
- Experimental and Clinical Pharmacology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano PN, Italy (E.C., B.P., S.M., G.T.); and Oncological Endocrinology Unit, IRCCS Regina Elena National Cancer Institute-IFO, Rome, Italy (M.A.)
| | - Marialuisa Appetecchia
- Experimental and Clinical Pharmacology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano PN, Italy (E.C., B.P., S.M., G.T.); and Oncological Endocrinology Unit, IRCCS Regina Elena National Cancer Institute-IFO, Rome, Italy (M.A.)
| | - Giuseppe Toffoli
- Experimental and Clinical Pharmacology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano PN, Italy (E.C., B.P., S.M., G.T.); and Oncological Endocrinology Unit, IRCCS Regina Elena National Cancer Institute-IFO, Rome, Italy (M.A.)
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Oni-Orisan A, Tuteja S, Hoffecker G, Smith DM, Castrichini M, Crews KR, Murphy WA, Nguyen NHK, Huang Y, Lteif C, Friede KA, Tantisira K, Aminkeng F, Voora D, Cavallari LH, Whirl-Carrillo M, Duarte JD, Luzum JA. An Introductory Tutorial on Cardiovascular Pharmacogenetics for Healthcare Providers. Clin Pharmacol Ther 2023; 114:275-287. [PMID: 37303270 PMCID: PMC10406163 DOI: 10.1002/cpt.2957] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 05/17/2023] [Indexed: 06/13/2023]
Abstract
Pharmacogenetics can improve clinical outcomes by reducing adverse drug effects and enhancing therapeutic efficacy for commonly used drugs that treat a wide range of cardiovascular diseases. One of the major barriers to the clinical implementation of cardiovascular pharmacogenetics is limited education on this field for current healthcare providers and students. The abundance of pharmacogenetic literature underscores its promise, but it can also be challenging to learn such a wealth of information. Moreover, current clinical recommendations for cardiovascular pharmacogenetics can be confusing because they are outdated, incomplete, or inconsistent. A myriad of misconceptions about the promise and feasibility of cardiovascular pharmacogenetics among healthcare providers also has halted clinical implementation. Therefore, the main goal of this tutorial is to provide introductory education on the use of cardiovascular pharmacogenetics in clinical practice. The target audience is any healthcare provider (or student) with patients that use or have indications for cardiovascular drugs. This tutorial is organized into the following 6 steps: (1) understand basic concepts in pharmacogenetics; (2) gain foundational knowledge of cardiovascular pharmacogenetics; (3) learn the different organizations that release cardiovascular pharmacogenetic guidelines and recommendations; (4) know the current cardiovascular drugs/drug classes to focus on clinically and the supporting evidence; (5) discuss an example patient case of cardiovascular pharmacogenetics; and (6) develop an appreciation for emerging areas in cardiovascular pharmacogenetics. Ultimately, improved education among healthcare providers on cardiovascular pharmacogenetics will lead to a greater understanding for its potential in improving outcomes for a leading cause of morbidity and mortality.
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Affiliation(s)
- Akinyemi Oni-Orisan
- Department of Clinical Pharmacy, University of California San Francisco, San Francisco, California, USA
| | - Sony Tuteja
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Glenda Hoffecker
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - D. Max Smith
- MedStar Health, Columbia, Maryland, USA
- Department of Oncology, Georgetown University Medical Center, Washington, DC, USA
| | - Matteo Castrichini
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Kristine R. Crews
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - William A. Murphy
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Nam H. K. Nguyen
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Yimei Huang
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Christelle Lteif
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Kevin A. Friede
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Kelan Tantisira
- Division of Respiratory Medicine, Department of Pediatrics, University of California San Diego, San Diego, California, USA
| | - Folefac Aminkeng
- Departments of Medicine and Biomedical Informatics (DBMI), Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore
- Centre for Precision Health (CPH), National University Health System (NUHS), Singapore City, Singapore
| | - Deepak Voora
- Precision Medicine Program, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Larisa H. Cavallari
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | | | - Julio D. Duarte
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Jasmine A. Luzum
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA
- Center for Individualized and Genomic Medicine Research, Henry Ford Health System, Detroit, Michigan, USA
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23
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Muzaffar AF, Abdul-Massih S, Stevenson JM, Alvarez-Arango S. Use of the Electronic Health Record for Monitoring Adverse Drug Reactions. Curr Allergy Asthma Rep 2023; 23:417-426. [PMID: 37191903 DOI: 10.1007/s11882-023-01087-w] [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] [Accepted: 05/01/2023] [Indexed: 05/17/2023]
Abstract
PURPOSE OF REVIEW Adverse drug reactions (ADRs) are a significant cause of morbidity and mortality. The electronic health record (EHR) provides an opportunity to monitor ADRs, mainly through the utilization of drug allergy data and pharmacogenomics. This review article explores the current use of the EHR for ADR monitoring and highlights areas that require improvement. RECENT FINDINGS Recent research has identified several issues with using EHR for ADR monitoring. These include the lack of standardization between EHR systems, specificity in data entry options, incomplete and inaccurate documentation, and alert fatigue. These issues can limit the effectiveness of ADR monitoring and compromise patient safety. The EHR has great potential for monitoring ADR but needs significant updates to improve patient safety and optimize care. Future research should concentrate on developing standardized documentation and clinical decision support systems within EHRs. Healthcare professionals should also be educated on the significance of accurate and complete ADR monitoring.
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Affiliation(s)
- Anum F Muzaffar
- Division of Allergy and Immunology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sandra Abdul-Massih
- Division of Clinical Pharmacology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - James M Stevenson
- Division of Clinical Pharmacology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Pharmacology and Molecular Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Santiago Alvarez-Arango
- Division of Clinical Pharmacology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University School of Medicine, Hopkins Bayview Circle, 5501, MD, 21224, Baltimore, USA.
- Department of Pharmacology and Molecular Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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24
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Li X, Cao Y. Cost-effectiveness of Arg16Gly in ADRB2 pharmacogenomic-guided treatment for pediatric asthma. Expert Rev Pharmacoecon Outcomes Res 2023; 23:891-899. [PMID: 37256257 DOI: 10.1080/14737167.2023.2220966] [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: 03/21/2023] [Accepted: 05/30/2023] [Indexed: 06/01/2023]
Abstract
OBJECTIVES To assess the cost-effectiveness of Arg16Gly ADRB2 pharmacogenomic testing compared with no Arg16Gly ADRB2 testing to guide the use of long-acting β2 receptor agonist (LABA) in asthma patients aged 1 to 5 years in China. METHODS This economic evaluation developed a Markov model with four health states (no exacerbation, mild exacerbation, moderate-to-severe exacerbation, and death). Transition probabilities were estimated from the rate of exacerbations, the case-fatality rate of patients hospitalized for exacerbations, and natural mortality. Costs included drug costs and exacerbation management costs. Cost inputs and utilities for each health state were gained from public databases and the literatures. Costs and quality-adjusted life years (QALYs) were estimated for ten years. Deterministic and probabilistic sensitivity analyses were performed. RESULTS In the base case analysis, in contrast to the group without the genotype test, the incremental total cost was -¥334.7, and the incremental QALY was 0.001 in the Arg16Gly ADRB2 genotyping group. Therefore, the Arg16Gly ADRB2 test group was the dominant strategy for children with asthma in China. The sensitivity analyses showed that the model was relatively stable. CONCLUSION Arg16Gly ADRB2 testing before using LABA is a cost-effective approach compared with no gene testing for pediatric asthma.
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Affiliation(s)
- Xinyan Li
- Department of Pharmacy, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yunyun Cao
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai JiaoTong University, Shanghai, China
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25
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Kabbani D, Akika R, Wahid A, Daly AK, Cascorbi I, Zgheib NK. Pharmacogenomics in practice: a review and implementation guide. Front Pharmacol 2023; 14:1189976. [PMID: 37274118 PMCID: PMC10233068 DOI: 10.3389/fphar.2023.1189976] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 05/03/2023] [Indexed: 06/06/2023] Open
Abstract
Considerable efforts have been exerted to implement Pharmacogenomics (PGx), the study of interindividual variations in DNA sequence related to drug response, into routine clinical practice. In this article, we first briefly describe PGx and its role in improving treatment outcomes. We then propose an approach to initiate clinical PGx in the hospital setting. One should first evaluate the available PGx evidence, review the most relevant drugs, and narrow down to the most actionable drug-gene pairs and related variant alleles. This is done based on data curated and evaluated by experts such as the pharmacogenomics knowledge implementation (PharmGKB) and the Clinical Pharmacogenetics Implementation Consortium (CPIC), as well as drug regulatory authorities such as the US Food and Drug Administration (FDA) and European Medicinal Agency (EMA). The next step is to differentiate reactive point of care from preemptive testing and decide on the genotyping strategy being a candidate or panel testing, each of which has its pros and cons, then work out the best way to interpret and report PGx test results with the option of integration into electronic health records and clinical decision support systems. After test authorization or testing requirements by the government or drug regulators, putting the plan into action involves several stakeholders, with the hospital leadership supporting the process and communicating with payers, the pharmacy and therapeutics committee leading the process in collaboration with the hospital laboratory and information technology department, and healthcare providers (HCPs) ordering the test, understanding the results, making the appropriate therapeutic decisions, and explaining them to the patient. We conclude by recommending some strategies to further advance the implementation of PGx in practice, such as the need to educate HCPs and patients, and to push for more tests' reimbursement. We also guide the reader to available PGx resources and examples of PGx implementation programs and initiatives.
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Affiliation(s)
- Danya Kabbani
- Department of Pharmacology and Toxicology, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Reem Akika
- Department of Pharmacology and Toxicology, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Ahmed Wahid
- Department of Pharmaceutical Biochemistry, Faculty of Pharmacy, Alexandria University, Alexandria, Egypt
| | - Ann K. Daly
- Department of Pharmacology and Toxicology, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Ingolf Cascorbi
- Department of Pharmacology and Toxicology, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Nathalie Khoueiry Zgheib
- Department of Pharmacology and Toxicology, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
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26
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Salas-Hernández A, Galleguillos M, Carrasco M, López-Cortés A, Redal MA, Fonseca-Mendoza D, Esperón P, González-Martínez F, Lares-Asseff I, Lazarowski A, Loera-Castañeda V, Remírez D, Martínez MF, Vargas R, Rios-Santos F, Macho A, Cayún JP, Perez GR, Gutierrez C, Cerpa LC, Leiva T, Calfunao S, Xajil L, Sandoval C, Suárez M, Gonzalez A, Echeverría-Garcés G, Sullón-Dextre L, Cordero-García E, Morales AR, Avendaño A, Sánchez E, Bastone LC, Lara C, Zuluaga-Arias P, Soler AM, Da Luz J, Burgueño-Rodríguez G, Vital M, Reyes-Reyes E, Huaccha A, Ariza YV, Tzul N, Rendón AL, Serrano R, Acosta L, Motta-Pardo A, Beltrán-Angarita L, Brand E, Jiménez MA, Hidalgo-Lozada GM, Romero-Prado MMJ, Escobar-Castro K, Umaña-Rivas M, Vivas JD, Lagos P, Martínez YB, Quesada S, Calfio C, Arias ML, Lavanderos MA, Cáceres DD, Salazar-Granara A, Varela NM, Quiñones LA. An updated examination of the perception of barriers for pharmacogenomics implementation and the usefulness of drug/gene pairs in Latin America and the Caribbean. Front Pharmacol 2023; 14:1175737. [PMID: 37251329 PMCID: PMC10213898 DOI: 10.3389/fphar.2023.1175737] [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: 02/28/2023] [Accepted: 04/21/2023] [Indexed: 05/31/2023] Open
Abstract
Pharmacogenomics (PGx) is considered an emergent field in developing countries. Research on PGx in the Latin American and the Caribbean (LAC) region remains scarce, with limited information in some populations. Thus, extrapolations are complicated, especially in mixed populations. In this paper, we reviewed and analyzed pharmacogenomic knowledge among the LAC scientific and clinical community and examined barriers to clinical application. We performed a search for publications and clinical trials in the field worldwide and evaluated the contribution of LAC. Next, we conducted a regional structured survey that evaluated a list of 14 potential barriers to the clinical implementation of biomarkers based on their importance. In addition, a paired list of 54 genes/drugs was analyzed to determine an association between biomarkers and response to genomic medicine. This survey was compared to a previous survey performed in 2014 to assess progress in the region. The search results indicated that Latin American and Caribbean countries have contributed 3.44% of the total publications and 2.45% of the PGx-related clinical trials worldwide thus far. A total of 106 professionals from 17 countries answered the survey. Six major groups of barriers were identified. Despite the region's continuous efforts in the last decade, the primary barrier to PGx implementation in LAC remains the same, the "need for guidelines, processes, and protocols for the clinical application of pharmacogenetics/pharmacogenomics". Cost-effectiveness issues are considered critical factors in the region. Items related to the reluctance of clinicians are currently less relevant. Based on the survey results, the highest ranked (96%-99%) gene/drug pairs perceived as important were CYP2D6/tamoxifen, CYP3A5/tacrolimus, CYP2D6/opioids, DPYD/fluoropyrimidines, TMPT/thiopurines, CYP2D6/tricyclic antidepressants, CYP2C19/tricyclic antidepressants, NUDT15/thiopurines, CYP2B6/efavirenz, and CYP2C19/clopidogrel. In conclusion, although the global contribution of LAC countries remains low in the PGx field, a relevant improvement has been observed in the region. The perception of the usefulness of PGx tests in biomedical community has drastically changed, raising awareness among physicians, which suggests a promising future in the clinical applications of PGx in LAC.
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Affiliation(s)
- Aimeé Salas-Hernández
- Department of Pharmacology, Toxicology and Pharmaco-Dependence, Faculty of Pharmacy, University of Costa Rica, San Jose, Costa Rica
| | - Macarena Galleguillos
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
| | - Matías Carrasco
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
| | - Andrés López-Cortés
- Cancer Research Group (CRG), Faculty of Medicine, Universidad de Las Américas, Quito, Ecuador
| | - María Ana Redal
- Molecular Diagnostic Laboratory, Genetics Division, Faculty of Medicine, Hospital de Clínicas José de San Martín, University of Buenos Aires, Buenos Aires, Argentina
| | - Dora Fonseca-Mendoza
- Universidad del Rosario, School of Medicine and Health Sciences, Center for Research in Genetics and Genomics (CIGGUR), Institute of Translational Medicine (IMT), Bogotá, Colombia
| | - Patricia Esperón
- Molecular Genetic Unit, School of Chemistry, Universidad de la República, General Flores, CP 1800 2124, Montevideo, Uruguay
| | - Farith González-Martínez
- Toxicology and Public Health Research Laboratory, Department of Research, Faculty of Dentistry, University of Cartagena, Cartagena, Colombia
| | - Ismael Lares-Asseff
- Academy of Genomics and Laboratory of Pharmacogenomics and Molecular Biomedicine, Instituto Politécnico Nacional, CIIDIR-Unidad Durango, Durango, Mexico
| | - Alberto Lazarowski
- Instituto de Fisiopatología y Bioquímica Clínica (INFIBIOC), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires- Argentina, Buenos Aires, Argentina
| | - Verónica Loera-Castañeda
- Academy of Genomics and Laboratory of Pharmacogenomics and Molecular Biomedicine, Instituto Politécnico Nacional, CIIDIR-Unidad Durango, Durango, Mexico
| | | | - Matías F. Martínez
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
- Department of Pharmaceutical Sciences and Technology, Faculty of Chemical and Pharmaceutical Sciences, University of Chile, Santiago, Chile
| | - Rodrigo Vargas
- Department of Molecular Biology, Galileo University, Guatemala City, Guatemala
| | - Fabricio Rios-Santos
- Department of Health. Faculty of Medicine, Federal University of Mato Grosso (UFMT), Cuibá, Brazil
| | - Antonio Macho
- Morphology and Applied Immunology Research Center (NuPMIA), University of Brasilia (UnB), Brasília, Brazil
| | - Juan P. Cayún
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
| | - Germán R. Perez
- Department of Microbiology, Faculty of Biochemical and Pharmaceutical Sciences. National University of Rosario, Rosario, Argentina
| | - Carolina Gutierrez
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
| | - Leslie C. Cerpa
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
| | - Tamara Leiva
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
| | - Susan Calfunao
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
- Laboratory Pathological Anatomy, Hospital Luis Calvo Mackenna, Santiago, Chile
| | - Lesly Xajil
- Department of Research in Pharmacogenomics, Faculty of Chemical Sciences and Pharmacy, University of San Carlos de Guatemala, Guatemala, Guatemala
| | - Christopher Sandoval
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
- Clinical Laboratory Blood Biochemistry and Immunoassay Section, Hospital Clínico Félix Bulnes Cerda, Santiago, Chile
| | - Marcelo Suárez
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
- Pharmacy Service, Hospital UC-Christus, Santiago, Chile
| | | | | | | | - Eugenia Cordero-García
- Department of Pharmacology, Toxicology and Pharmaco-Dependence, Faculty of Pharmacy, University of Costa Rica, San Jose, Costa Rica
| | - Alexis R. Morales
- Department of Toxicology and Pharmacology, Faculty of Pharmacy and Bioanalisis, University of Los Andes, Merida, Venezuela
| | - Andrea Avendaño
- Department of Pediatrics, Medical Genetics Unity, Faculty of Medicine, University of Los Andes, Mérida, Venezuela
| | | | - Laura C. Bastone
- Laboratorio de Medicina Genómica, Gammalab, Grupo Gamma, Rosario, Argentina
| | - Cesar Lara
- Betesda La Alternativa Natural, San José, Costa Rica
| | | | - Ana María Soler
- Laboratorio de Genética Molecular Humana, Departamento de Ciencias Biológicas, Universidad de La República, Montevideo, Uruguay
| | - Julio Da Luz
- Laboratorio de Genética Molecular Humana, Departamento de Ciencias Biológicas, Universidad de La República, Montevideo, Uruguay
| | - Gabriela Burgueño-Rodríguez
- Laboratorio de Genética Molecular Humana, Departamento de Ciencias Biológicas, Universidad de La República, Montevideo, Uruguay
| | - Marcelo Vital
- Molecular Genetic Unit, School of Chemistry, Universidad de la República, General Flores 2124, Montevideo, Uruguay
| | - Elizabeth Reyes-Reyes
- Clinical Experimental Pharmacology Section, Teaching and Research Department, Institute of Oncology and Radiobiology, Havana, Cuba
| | | | - Yeimy V. Ariza
- Pharmaceutical Chemistry Program, El Bosque University, Bogotá, Colombia
| | - Naomi Tzul
- Drug Inspectorate Unit, Ministry of Health and Wellness, Belmopan, Belize
| | - Ana L. Rendón
- Department of Pharmaceutical Technology, National Autonomous University of Honduras, Tegucigalpa, Honduras
| | | | - Larissa Acosta
- Faculty of Biology, Chemistry and Pharmacy, Galileo University, Guatemala, Guatemala
| | - Angelo Motta-Pardo
- GENOBIDC, Faculty of Pharmacy and Biochemistry, Universidad Nacional Mayor de San Marcos (UNMSM), CIGBM, Faculty of Medicine, Universidad de San Martin de Porres (USMP), Lima, Peru
| | - Leonardo Beltrán-Angarita
- Faculty of Heath Sciences, Central Unit of Valle del Cauca, Tuluá, Colombia
- Chemistry School, Universidad Tecnológica de Pereira, Pereira, Colombia
| | - Erika Brand
- Postgraduate Department, Master’s Degree in Immunology, Universidad Cayetano Heredia, Lima, Perú
| | | | | | - Marina M. J. Romero-Prado
- Department of Physiology, Health Sciences University Center, University of Guadalajara, Guadalajara, Jalisco, Mexico
| | - Karla Escobar-Castro
- Laboratory of Histocompatibility and Immunogenetics, Department of Nephrology and Transplant, Hospital General San Juan de Dios, Guatemala, Guatemala
| | - Mariel Umaña-Rivas
- Department of Tropical Medicine, Faculty of Medicine, University of Brasília, Brasília, Brazil
| | - Juan D. Vivas
- Department of Clinical Pharmacology, Faculty of Medicine, University of La Sabana, Chía, Colombia
| | - Paola Lagos
- Recombinant Biopharmaceutical Laboratory, Department of Pharmacology, Faculty of Biological Sciences, University of Concepción, Concepción, Chile
| | - Yineth Ballén Martínez
- Medical Specialist in Epidemiology Clinical Pharmacology Teacher; Medical Scientific and Pharmacovigilance Advisor in the Pharmaceutical Industry, Bogotá, Colombia
| | - Sharleth Quesada
- Faculty of Pharmacy, University of Costa Rica, San Jose, Costa Rica
| | - Camila Calfio
- International Center for Biomedicine ICC, Santiago, Chile
| | - Maria L. Arias
- Tropical Diseases Research Center and Microbiology Faculty, University of Costa Rica, San José, Costa Rica
| | - María A. Lavanderos
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
| | - Dante D. Cáceres
- Environmental Health Programme, School of Public Health, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Alberto Salazar-Granara
- Universidad de San Martín de Porres, Facultad de Medicina Humana, Centro de Investigación de Medicina Tradicional y Farmacología, Lima, Perú
| | - Nelson M. Varela
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
| | - Luis A. Quiñones
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
- Department of Pharmaceutical Sciences and Technology, Faculty of Chemical and Pharmaceutical Sciences, University of Chile, Santiago, Chile
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27
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Chang YL, Hsiao TH, Wu MF, Chen CH. The Prevalence and Features of Medications With Actionable Pharmacogenomic Biomarkers Prescribed to Kidney Transplant Recipients. Transplant Proc 2023:S0041-1345(23)00222-1. [PMID: 37127518 DOI: 10.1016/j.transproceed.2023.03.059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 03/27/2023] [Indexed: 05/03/2023]
Abstract
BACKGROUND Genetic variants are associated with pharmacokinetic and pharmacodynamic changes, leading to variability in drug effects and safety profiles in the clinical response. The role of genetic variants in kidney transplant recipients (KTRs) has not been extensively studied. Here, we explored the potential of incorporating pharmacogenomic (PGx) gene biomarkers into prescription practices for KTRs. METHODS This study analyzed 490 KTRs participating in the Taiwan Precision Medicine Initiative program and used medications with actionable PGx biomarkers. The analysis included prescriptions issued between January 2000 and December 2021 with 206 CPIC-recommended level A or B gene-drug pairs, encompassing 363 single or combination drug products. RESULTS All KTRs had the potential to receive at least one prescription that could be adjusted based on their genetic profiles after the day of surgery. The top 5 medications prescribed within the first 3 months after transplantation were mycophenolic acid, tacrolimus, pantoprazole, labetalol, and tramadol. These findings highlight the significant potential of PGx-guided prescriptions for KTRs. Additionally, some drug-gene pairs, such as tramadol/CYP2D6, pantoprazole/CYP2C19, and atorvastatin/SLCO1B1, were considered high-quality evidence by the Clinical Pharmacogenetics Implementation Consortium and were included in the Food and Drug Administration's drug labels, indicating that they have the potential for clinical application. CONCLUSIONS Overall, this study demonstrated the potential of incorporating PGx gene biomarkers into prescribing practices for KTRs, which could improve personalized pharmacotherapy for these patients.
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Affiliation(s)
- Yen-Lin Chang
- Department of Pharmacy, Taichung Veterans General Hospital, Taichung, Taiwan; Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City, Taiwan
| | - Tzu-Hung Hsiao
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan; Department of Public Health, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan; Institute of Genomics and Bioinformatics, National Chung Hsing University, Taichung, Taiwan
| | - Ming-Fen Wu
- Department of Pharmacy, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Cheng-Hsu Chen
- Division of Nephrology, Department of Internal Medicine, Taichung VeteransTaichung, Taiwan; Department of Post-Baccalaureate Medicine, College of Medicine, NationalTaichung, Taiwan; Department of Life Science, Tunghai University, Taichung, Taiwan; School of Medicine, China Medical University, Taichung, Taiwan.
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28
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Anderson JD, Davis BH, Giang G, Jones A, Lee CR, Parker K, Searcy H, Benner K, Limdi N, Guimbellot JS. Pharmacogenetic actionability and medication prescribing in people with cystic fibrosis. Clin Transl Sci 2023; 16:662-672. [PMID: 36760155 PMCID: PMC10087076 DOI: 10.1111/cts.13479] [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: 10/26/2022] [Revised: 12/20/2022] [Accepted: 12/21/2022] [Indexed: 02/11/2023] Open
Abstract
Although major advancements have been made in the therapeutics for people with cystic fibrosis (PwCF), many still require the use of multiple medications to manage acute exacerbations of disease and maintain health. Iterative trial and error processes of pharmacotherapeutic management can be optimized by assessing and incorporating pharmacogenetics. For 82 PwCF, we reviewed 2 years of medication use and response history and interrogated metabolizer status for common pharmacogenes, revealing 3336 medication exposure events (MEEs) to 286 unique medications. As expected, the more frequent MEEs were those commonly used to treat cystic fibrosis (CF), such as antibiotics and respiratory medications. Antibiotics also comprised 56.7% of the undesirable drug responses. The impact of gene variants on drug responses was assessed using Pharmacogenomics Knowledgebase (PharmGKB) and Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines. Thirty-three (11.5%) medications have strong evidence of genetic influence on response as evidenced by gene-based dosing guidelines. 110 (38.5%) unique medications had at least one association with a very important pharmacogene, whereas 143 (50%) were associated with at least one clinical or variant annotation. Over 97% of participants had at least one actionable genotype. Eleven (13.4%) patients with an actionable genotype, taking the impacted medication, had an undesirable drug response described in the CPIC guidelines that could potentially have been mitigated with a priori knowledge of the genotype. PwCF take many medications for disease management, with frequent dose changes to elicit a desired clinical effect. As CF care evolves, implementing pharmacogenetics testing can improve efficiency and safety of prescribing practices using precision selection and dosing at medication initiation.
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Affiliation(s)
- Justin D. Anderson
- Gregory Fleming James Cystic Fibrosis Research CenterUniversity of Alabama at Birmingham (UAB)BirminghamAlabamaUSA
- Division of Pulmonary and Sleep Medicine, Department of PediatricsUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Brittney H. Davis
- Department of Neurology, School of MedicineUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Gracie Giang
- McWhorter School of PharmacySamford UniversityBirminghamAlabamaUSA
| | - April Jones
- McWhorter School of PharmacySamford UniversityBirminghamAlabamaUSA
| | - Cameron R. Lee
- McWhorter School of PharmacySamford UniversityBirminghamAlabamaUSA
| | - Kennedy Parker
- Gregory Fleming James Cystic Fibrosis Research CenterUniversity of Alabama at Birmingham (UAB)BirminghamAlabamaUSA
- Division of Pulmonary and Sleep Medicine, Department of PediatricsUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Heather Searcy
- Division of Pulmonary and Sleep Medicine, Department of PediatricsUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Kim Benner
- McWhorter School of PharmacySamford UniversityBirminghamAlabamaUSA
| | - Nita A. Limdi
- Department of Neurology, School of MedicineUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Jennifer S. Guimbellot
- Gregory Fleming James Cystic Fibrosis Research CenterUniversity of Alabama at Birmingham (UAB)BirminghamAlabamaUSA
- Division of Pulmonary and Sleep Medicine, Department of PediatricsUniversity of Alabama at BirminghamBirminghamAlabamaUSA
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29
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Shen G, Moua KTY, Perkins K, Johnson D, Li A, Curtin P, Gao W, McCune JS. Precision sirolimus dosing in children: The potential for model-informed dosing and novel drug monitoring. Front Pharmacol 2023; 14:1126981. [PMID: 37021042 PMCID: PMC10069443 DOI: 10.3389/fphar.2023.1126981] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Accepted: 02/14/2023] [Indexed: 04/07/2023] Open
Abstract
The mTOR inhibitor sirolimus is prescribed to treat children with varying diseases, ranging from vascular anomalies to sporadic lymphangioleiomyomatosis to transplantation (solid organ or hematopoietic cell). Precision dosing of sirolimus using therapeutic drug monitoring (TDM) of sirolimus concentrations in whole blood drawn at the trough (before the next dose) time-point is the current standard of care. For sirolimus, trough concentrations are only modestly correlated with the area under the curve, with R 2 values ranging from 0.52 to 0.84. Thus, it should not be surprising, even with the use of sirolimus TDM, that patients treated with sirolimus have variable pharmacokinetics, toxicity, and effectiveness. Model-informed precision dosing (MIPD) will be beneficial and should be implemented. The data do not suggest dried blood spots point-of-care sampling of sirolimus concentrations for precision dosing of sirolimus. Future research on precision dosing of sirolimus should focus on pharmacogenomic and pharmacometabolomic tools to predict sirolimus pharmacokinetics and wearables for point-of-care quantitation and MIPD.
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Affiliation(s)
- Guofang Shen
- Department of Hematologic Malignancies Translational Sciences, City of Hope, and Department of Hematopoietic Cell Transplantation, City of Hope Medical Center, Duarte, CA, United States
| | - Kao Tang Ying Moua
- Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, United States
| | - Kathryn Perkins
- Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, United States
| | - Deron Johnson
- Clinical Informatics, City of Hope Medical Center, Duarte, CA, United States
| | - Arthur Li
- Division of Biostatistics, City of Hope, Duarte, CA, United States
| | - Peter Curtin
- Department of Hematologic Malignancies Translational Sciences, City of Hope, and Department of Hematopoietic Cell Transplantation, City of Hope Medical Center, Duarte, CA, United States
| | - Wei Gao
- Division of Engineering and Applied Science, Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, United States
| | - Jeannine S. McCune
- Department of Hematologic Malignancies Translational Sciences, City of Hope, and Department of Hematopoietic Cell Transplantation, City of Hope Medical Center, Duarte, CA, United States
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30
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Huang Q, Liao Y, Yu T, Lei W, Liang H, Wen J, Liu Q, Chen Y, Huang K, Jing L, Huang X, Liu Y, Yu X, Su K, Liu T, Yang L, Huang M. A retrospective analysis of preemptive pharmacogenomic testing in 22,918 individuals from China. J Clin Lab Anal 2023; 37:e24855. [PMID: 36916827 PMCID: PMC10098050 DOI: 10.1002/jcla.24855] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 01/11/2023] [Accepted: 02/13/2023] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND Pharmacogenomics (PGx) examines the influence of genetic variation on drug responses. With more and more Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines published, PGx is gradually shifting from the reactive testing of single gene toward the preemptive testing of multiple genes. But the profile of PGx genes, especially for the intra-country diversity, is not well understood in China. METHODS We retrospectively collected preemptive PGx testing data of 22,918 participants from 20 provinces of China, analyzed frequencies of alleles, genotypes and phenotypes of pharmacogenes, predicted drug responses for each participant, and performed comparisons between different provinces. RESULTS AND CONCLUSION After analyzing 15 pharmacogenes from CPIC guidelines of 31 drugs, we found that 99.97% of individuals may have an atypical response to at least one drug; the participants carry actionable genotypes leading to atypical dosage recommendation for a median of eight drugs. Over 99% of the participants were recommended a decreased warfarin dose based on genetic factors. There were 20 drugs with high-risk ratios from 0.18% to 58.25%, in which clopidogrel showed the highest high-risk ratio. In addition, the high-risk ratio of rasburicase in GUANGDONG (risk ratio (RR) = 13.17, 95%CI:4.06-33.22, p < 0.001) and GUANGXI (RR = 23.44, 95%CI:8.83-52.85, p < 0.001) were significantly higher than that in all provinces. Furthermore, the diversity we observed among 20 provinces suggests that preemptive PGx testing in different geographical regions in China may need to pay more attention to specific genes. These results emphasize the importance of preemptive PGx testing and provide essential evidence for promoting clinical implementation in China.
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Affiliation(s)
- Quanfei Huang
- Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Yuwei Liao
- Precision Medical Lab Center, People's Hospital of Yangjiang, Yangjiang, China
| | - Tao Yu
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Wei Lei
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Hongfeng Liang
- Precision Medical Lab Center, People's Hospital of Yangjiang, Yangjiang, China
| | - Jianxin Wen
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Qing Liu
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Yu Chen
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Kaisheng Huang
- CapitalBio Technology Co. Ltd., Beijing, China.,Guangdong CapitalBio Medical Laboratory, Dongguan, China
| | - Lifang Jing
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Xiaoyan Huang
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Yuanru Liu
- CapitalBio Technology Co. Ltd., Beijing, China.,Guangdong CapitalBio Medical Laboratory, Dongguan, China
| | - Xiaokang Yu
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Kaichan Su
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Tengfei Liu
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Liye Yang
- Precision Medical Lab Center, People's Hospital of Yangjiang, Yangjiang, China
| | - Min Huang
- Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, China
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31
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Mostaid MS, Aziz MA, Maisha JA, Islam MS, Maruf AA. A review of pharmacogenetic studies in the Bangladeshi population. Drug Metab Pers Ther 2023:dmdi-2022-0194. [PMID: 36854045 DOI: 10.1515/dmpt-2022-0194] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 01/25/2023] [Indexed: 03/02/2023]
Abstract
Pharmacogenetics (PGx)-guided prescribing is an evidence-based precision medicine strategy. Although the past two decades have reported significant advancements in both the quality and quantity of PGx research studies, they are seldom done in developing countries like Bangladesh. This review identified and summarized PGx studies conducted in the Bangladeshi population by searching PubMed and Google Scholar. Additionally, a quality evaluation of the identified studies was also carried out. Eleven PGx studies were identified that looked at the effects of genetic variants on blood thinners (CYP2C9, VKORC1, and ITGB3), cancer drugs (TPMT, MTHFR, DPYD, ERCC1, GSTP1, XPC, XRCC1, TP53, XPD, and ABCC4), statins (COQ2, CYP2D6, and CYP3A5), and prednisolone (ABCB1, CYP3A5, and NR3C1) in the Bangladeshi population. Most studies were of low to moderate quality. Although the identified studies demonstrated the potential for PGx testing, the limited PGx literature in the Bangladeshi population poses a significant challenge in the widespread implementation of PGx testing in Bangladesh.
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Affiliation(s)
- Md Shaki Mostaid
- Department of Pharmaceutical Sciences, North South University, Dhaka, Bangladesh
| | - Md Abdul Aziz
- Laboratory of Pharmacogenomics and Molecular Biology, Department of Pharmacy, Noakhali Science and Technology University, Noakhali, Bangladesh
| | - Jeba Atkia Maisha
- Department of Mathematics and Natural Sciences, Brac University, Dhaka, Bangladesh
| | - Mohammad Safiqul Islam
- Laboratory of Pharmacogenomics and Molecular Biology, Department of Pharmacy, Noakhali Science and Technology University, Noakhali, Bangladesh
| | - Abdullah Al Maruf
- The Mathison Centre for Mental Health Research & Education, Cumming School of Medicine, University of Calgary, Calgary, Canada
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32
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Abstract
Inter-individual variability in drug response, be it efficacy or safety, is common and likely to become an increasing problem globally given the growing elderly population requiring treatment. Reasons for this inter-individual variability include genomic factors, an area of study called pharmacogenomics. With genotyping technologies now widely available and decreasing in cost, implementing pharmacogenomics into clinical practice - widely regarded as one of the initial steps in mainstreaming genomic medicine - is currently a focus in many countries worldwide. However, major challenges of implementation lie at the point of delivery into health-care systems, including the modification of current clinical pathways coupled with a massive knowledge gap in pharmacogenomics in the health-care workforce. Pharmacogenomics can also be used in a broader sense for drug discovery and development, with increasing evidence suggesting that genomically defined targets have an increased success rate during clinical development.
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33
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Application of Pharmacogenetics for the Use of Antiplatelet and Anticoagulant Drugs. CURRENT CARDIOVASCULAR RISK REPORTS 2023. [DOI: 10.1007/s12170-022-00713-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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34
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Blout Zawatsky CL, Bick D, Bier L, Funke B, Lebo M, Lewis KL, Orlova E, Qian E, Ryan L, Schwartz MLB, Soper ER. Elective genomic testing: Practice resource of the National Society of Genetic Counselors. J Genet Couns 2023; 32:281-299. [PMID: 36597794 DOI: 10.1002/jgc4.1654] [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: 03/31/2022] [Revised: 10/24/2022] [Accepted: 10/28/2022] [Indexed: 01/05/2023]
Abstract
Genetic counseling for patients who are pursuing genetic testing in the absence of a medical indication, referred to as elective genomic testing (EGT), is becoming more common. This type of testing has the potential to detect genetic conditions before there is a significant health impact permitting earlier management and/or treatment. Pre- and post-test counseling for EGT is similar to indication-based genetic testing. Both require a complete family and medical history when ordering a test or interpreting a result. However, EGT counseling has some special considerations including greater uncertainties around penetrance and clinical utility and a lack of published guidelines. While certain considerations in the selection of a high-quality genetic testing laboratory are universal, there are some considerations that are unique to the selection of a laboratory performing EGT. This practice resource intends to provide guidance for genetic counselors and other healthcare providers caring for adults seeking pre- or post-test counseling for EGT. Genetic counselors and other genetics trained healthcare providers are the ideal medical professionals to supply accurate information to individuals seeking counseling about EGT enabling them to make informed decisions about testing and follow-up.
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Affiliation(s)
- Carrie L Blout Zawatsky
- Genomes2People, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA.,Ariadne Labs, Boston, Massachusetts, USA.,The MGH Institute of Health Professions, Boston, Massachusetts, USA
| | | | - Louise Bier
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | | | - Matthew Lebo
- Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA.,Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Department of Pathology, Harvard Medical School, Cambridge, Massachusetts, USA.,Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Boston, Massachusetts, USA
| | - Katie L Lewis
- Center for Precision Health Research, National Institutes of Health, Bethesda, Maryland, USA
| | - Ekaterina Orlova
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Emily Qian
- Department of Genetics, Yale University, New Haven, Connecticut, USA
| | | | - Marci L B Schwartz
- Cardiac Genome Clinic, Ted Rogers Centre for Heart Research, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Emily R Soper
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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35
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Zhou Y, Lauschke VM. Challenges Related to the Use of Next-Generation Sequencing for the Optimization of Drug Therapy. Handb Exp Pharmacol 2023; 280:237-260. [PMID: 35792943 DOI: 10.1007/164_2022_596] [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] [Indexed: 06/15/2023]
Abstract
Over the last decade, next-generation sequencing (NGS) methods have become increasingly used in various areas of human genomics. In routine clinical care, their use is already implemented in oncology to profile the mutational landscape of a tumor, as well as in rare disease diagnostics. However, its utilization in pharmacogenomics is largely lacking behind. Recent population-scale genome data has revealed that human pharmacogenes carry a plethora of rare genetic variations that are not interrogated by conventional array-based profiling methods and it is estimated that these variants could explain around 30% of the genetically encoded functional pharmacogenetic variability.To interpret the impact of such variants on drug response a multitude of computational tools have been developed, but, while there have been major advancements, it remains to be shown whether their accuracy is sufficient to improve personalized pharmacogenetic recommendations in robust trials. In addition, conventional short-read sequencing methods face difficulties in the interrogation of complex pharmacogenes and high NGS test costs require stringent evaluations of cost-effectiveness to decide about reimbursement by national healthcare programs. Here, we illustrate current challenges and discuss future directions toward the clinical implementation of NGS to inform genotype-guided decision-making.
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Affiliation(s)
- Yitian Zhou
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Volker M Lauschke
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
- Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.
- University of Tuebingen, Tuebingen, Germany.
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36
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Pasternak AL, Ward K, Irwin M, Okerberg C, Hayes D, Fritsche L, Zoellner S, Virzi J, Choe HM, Ellingrod V. Identifying the prevalence of clinically actionable drug-gene interactions in a health system biorepository to guide pharmacogenetics implementation services. Clin Transl Sci 2022; 16:292-304. [PMID: 36510710 PMCID: PMC9926071 DOI: 10.1111/cts.13449] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 10/14/2022] [Accepted: 10/24/2022] [Indexed: 12/15/2022] Open
Abstract
Understanding patterns of drug-gene interactions (DGIs) is important for advancing the clinical implementation of pharmacogenetics (PGx) into routine practice. Prior studies have estimated the prevalence of DGIs, but few have confirmed DGIs in patients with known genotypes and prescriptions, nor have they evaluated clinician characteristics associated with DGI-prescribing. This retrospective chart review assessed prevalence of DGI, defined as a medication prescription in a patient with a PGx phenotype that has a clinical practice guideline recommendation to adjust therapy or monitor drug response, for patients enrolled in a research genetic biorepository linked to electronic health records (EHRs). The prevalence of prescriptions for medications with pharmacogenetic (PGx) guidelines, proportion of prescriptions with DGI, location of DGI prescription, and clinical service of the prescriber were evaluated descriptively. Seventy-five percent (57,058/75,337) of patients had a prescription for a medication with a PGx guideline. Up to 60% (n = 26,067/43,647) of patients had at least one DGI when considering recommendations to adjust or monitor therapy based on genotype. The majority (61%) of DGIs occurred in outpatient prescriptions. Proton pump inhibitors were the most common DGI medication for 11 of 12 clinical services. Almost 25% of patients (n = 10,706/43,647) had more than one unique DGI, and, among this group of patients, 61% had a DGI with more than one gene. These findings can inform future clinical implementation by identifying key stakeholders for initial DGI prescriptions, helping to inform workflows. The high prevalence of multigene interactions identified also support the use of panel PGx testing as an implementation strategy.
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Affiliation(s)
- Amy L. Pasternak
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA,Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - Kristen Ward
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA,Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - Madison Irwin
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA,Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - Carl Okerberg
- Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - David Hayes
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA
| | - Lars Fritsche
- Department of BiostatisticsUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Sebastian Zoellner
- Department of BiostatisticsUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Jessica Virzi
- Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - Hae Mi Choe
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA,Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - Vicki Ellingrod
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA
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37
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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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38
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Morris SA, Alsaidi AT, Verbyla A, Cruz A, Macfarlane C, Bauer J, Patel JN. Cost Effectiveness of Pharmacogenetic Testing for Drugs with Clinical Pharmacogenetics Implementation Consortium (CPIC) Guidelines: A Systematic Review. Clin Pharmacol Ther 2022; 112:1318-1328. [PMID: 36149409 PMCID: PMC9828439 DOI: 10.1002/cpt.2754] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 09/17/2022] [Indexed: 01/31/2023]
Abstract
The objective of this study was to evaluate the evidence on cost-effectiveness of pharmacogenetic (PGx)-guided treatment for drugs with Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines. A systematic review was conducted using multiple biomedical literature databases from inception to June 2021. Full articles comparing PGx-guided with nonguided treatment were included for data extraction. Quality of Health Economic Studies (QHES) was used to assess robustness of each study (0-100). Data are reported using descriptive statistics. Of 108 studies evaluating 39 drugs, 77 (71%) showed PGx testing was cost-effective (CE) (N = 48) or cost-saving (CS) (N = 29); 21 (20%) were not CE; 10 (9%) were uncertain. Clopidogrel had the most articles (N = 23), of which 22 demonstrated CE or CS, followed by warfarin (N = 16), of which 7 demonstrated CE or CS. Of 26 studies evaluating human leukocyte antigen (HLA) testing for abacavir (N = 8), allopurinol (N = 10), or carbamazepine/phenytoin (N = 8), 15 demonstrated CE or CS. Nine of 11 antidepressant articles demonstrated CE or CS. The median QHES score reflected high-quality studies (91; range 48-100). Most studies evaluating cost-effectiveness favored PGx testing. Limited data exist on cost-effectiveness of preemptive and multigene testing across disease states.
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Affiliation(s)
- Sarah A. Morris
- Department of Cancer Pharmacology and PharmacogenomicsLevine Cancer Institute, Atrium HealthCharlotteNorth CarolinaUSA
| | | | - Allison Verbyla
- Health Economics and Outcomes Research, Department of BiostatisticsLevine Cancer Institute, Atrium HealthCharlotteNorth CarolinaUSA
| | - Adilen Cruz
- Health Economics and Outcomes Research, Department of BiostatisticsLevine Cancer Institute, Atrium HealthCharlotteNorth CarolinaUSA
| | | | - Joseph Bauer
- Health Economics and Outcomes Research, Department of BiostatisticsLevine Cancer Institute, Atrium HealthCharlotteNorth CarolinaUSA
| | - Jai N. Patel
- Department of Cancer Pharmacology and PharmacogenomicsLevine Cancer Institute, Atrium HealthCharlotteNorth CarolinaUSA
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39
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Cavallari LH, Pratt VM. Building Evidence for Clinical Use of Pharmacogenomics and Reimbursement for Testing. Clin Lab Med 2022; 42:533-546. [PMID: 36368780 PMCID: PMC9896522 DOI: 10.1016/j.cll.2022.09.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, PO Box 100486, Gainesville, FL 32610-0486, USA.
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40
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Fragala MS, Shaman JA, Lorenz RA, Goldberg SE. Role of Pharmacogenomics in Comprehensive Medication Management: Considerations for Employers. Popul Health Manag 2022; 25:753-762. [PMID: 36301527 DOI: 10.1089/pop.2022.0075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Rising prescription costs, poor medication adherence, and safety issues pose persistent challenges to employer-sponsored health care plans and their beneficiaries. Comprehensive medication management (CMM), a patient-centered approach to medication optimization, enriched by pharmacogenomics (PGx), has been shown to improve the efficacy and safety of pharmaceutical regimens. This has contributed to improved health care outcomes, reduced costs of treatments, better adherence, shorter durations of treatment, and fewer adverse effects from drug therapy. Despite compelling clinical and economic evidence to justify the application of CMM guided by PGx, implementation in clinical settings remains sparse; notable barriers include limited physician adoption and health insurance coverage. Ultimately, these challenges may be overcome through comprehensive programs that include clinical decision support systems and education through employer-sponsored population health management channels to the benefit of the employees, employers, health care providers, and health care systems. This article discusses benefits, considerations, and barriers of scalable PGx-enriched CMM programs in the context of self-insured employers.
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41
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Petry NJ, Van Heukelom J, Baye JF, Massmann A. The effect of medication reconciliation on generating an accurate medication list in a pharmacogenomics practice. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:1259. [PMID: 36618791 PMCID: PMC9816821 DOI: 10.21037/atm-2022-63] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 10/31/2022] [Indexed: 11/18/2022]
Abstract
Background Medication reconciliation is recognized as a critically important medication safety element and a key initiative by multiple organizations. Within our precision medicine program, accurate medication lists are essential to our ability to make specific medication recommendations based on pharmacogenetic results. Our study aimed to identify discrepancies within the patient's medication list to improve medication management via genetic factors through a pharmacy team-based approach. Methods A dedicated team of pharmacists and trained student pharmacists conducted telephone interviews to complete medication reconciliation for individuals enrolled in our precision medicine preemptive screening program. Medication list discrepancies were tracked as well as if pharmacogenetic consults were altered by findings during the telephone interviews. Results Medication reconciliation was completed on 465 participants who had recently received or were awaiting pharmacogenetic testing. We found similar results to previously described rates of medication list discrepancies with an average of 4.9 medication discrepancies per patient as well as greater than 90% of individuals having at least one medication discrepancy. Pharmacogenetic recommendations for 20 individuals (4.3%) required adjustment following medication reconciliation. Conclusions This pilot program supports the value of a dedicated team for medication reconciliation and the importance of accurate medication lists to optimize precision medicine programs.
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Affiliation(s)
- Natasha J. Petry
- Sanford Health Imagenetics, Sioux Falls, SD, USA;,Department of Pharmacy Practice, North Dakota State University, Fargo, ND, USA
| | - Joel Van Heukelom
- Sanford Health Imagenetics, Sioux Falls, SD, USA;,Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA
| | - Jordan F. Baye
- Sanford Health Imagenetics, Sioux Falls, SD, USA;,Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA;,College of Pharmacy and Allied Health Professions, South Dakota State University, Brookings, SD, USA
| | - Amanda Massmann
- Sanford Health Imagenetics, Sioux Falls, SD, USA;,Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA
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42
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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: 0] [Impact Index Per Article: 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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43
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Wittwer NL, Meier CR, Huber CA, Meyer zu Schwabedissen HE, Allemann S, Schneider C. Utilization of Drugs with Pharmacogenetic Dosing Recommendations in Switzerland: A Descriptive Study Using the Helsana Database. Pharmgenomics Pers Med 2022; 15:967-976. [DOI: 10.2147/pgpm.s382214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 10/21/2022] [Indexed: 11/24/2022] Open
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44
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Cicali EJ, Lemke L, Al Alshaykh H, Nguyen K, Cavallari LH, Wiisanen K. How to Implement a Pharmacogenetics Service at your Institution. JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2022; 5:1161-1175. [PMID: 36589694 PMCID: PMC9799247 DOI: 10.1002/jac5.1699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 07/29/2022] [Indexed: 01/05/2023]
Abstract
The vast majority of patients possess one or more pharmacogenetic variants that can influence optimal medication use. When pharmacogenetic data are used to guide drug choice and dosing, evidence points to improved disease outcomes, fewer adverse effects, and lower healthcare spending. Although its science is well established, clinical use of pharmacogenetic data to guide drug therapy is still in its infancy. Pharmacogenetics essentially involves the intersection of an individual's genetic data with their medications, which makes pharmacists uniquely qualified to provide clinical support and education in this field. In fact, most pharmacogenetics implementations, to date, have been led by pharmacists as leaders or members of a multidisciplinary team or as individual practitioners. A successful large-scale pharmacogenetics implementation requires coordination and synergy among administrators, clinicians, informatics teams, laboratories, and patients. Because clinical implementation of pharmacogenetics is in its early stages, there is an urgent need for guidance and dissemination of shared experiences to provide a framework for clinicians. Many early adopters of pharmacogenetics have explored various strategies among diverse practice settings. This article relies on the experiences of early adopters to provide guidance for critical steps along the pathway to implementation, including strategies to engage stakeholders; evaluate pharmacogenetic evidence; coordinate laboratory testing, results interpretation and their integration into the electronic health record; identify reimbursement avenues; educate providers and patients; and maintain a successful program. Learning from early adopters' published experiences and strategies can allow clinicians leading a new pharmacogenetics implementation to avoid pitfalls and adapt and apply lessons learned by others to their own practice.
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Affiliation(s)
- Emily J Cicali
- Department of Pharmacotherapy and Translational Research, University of Florida, College of Pharmacy, Gainesville, FL, USA
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Fl, USA
| | - Lauren Lemke
- Department of Pharmacotherapy and Translational Research, University of Florida, College of Pharmacy, Gainesville, FL, USA
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Fl, USA
| | - Hana Al Alshaykh
- Department of Pharmacotherapy and Translational Research, University of Florida, College of Pharmacy, Gainesville, FL, USA
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Fl, USA
| | - Khoa Nguyen
- Department of Pharmacotherapy and Translational Research, University of Florida, College of Pharmacy, Gainesville, FL, USA
| | - Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research, University of Florida, College of Pharmacy, Gainesville, FL, USA
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Fl, USA
| | - Kristin Wiisanen
- Department of Pharmacotherapy and Translational Research, University of Florida, College of Pharmacy, Gainesville, FL, USA
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Fl, USA
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Brutnell TP, Wang X, Bao J. Integrating pharmacogenomics into clinical trials of hearing disorders. THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 2022; 152:2828. [PMID: 36456290 PMCID: PMC9648993 DOI: 10.1121/10.0015092] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 09/26/2022] [Accepted: 10/20/2022] [Indexed: 06/17/2023]
Abstract
In 2019, the U.S. Food and Drug Administration issued guidance to increase the efficiency of drug development and support precision medicine, including tailoring treatments to those patients who will benefit based on genetic variation even in the absence of a documented mechanism of action. Although multiple advancements have been made in the field of pharmacogenetics (PGx) for other disease conditions, there are no approved PGx guidelines in the treatment of hearing disorders. In studies of noise-induced hearing loss (NIHL), some progress has been made in the last several years associating genomic loci with susceptibility to noise damage. However, the power of such studies is limited as the underlying physiological responses may vary considerably among the patient populations. Here, we have summarized previous animal studies to argue that NIHL subtyping is a promising strategy to increase the granularity of audiological assessments. By coupling this enhanced phenotyping capability with genetic association studies, we suggest that drug efficacy will be better predicted, increasing the likelihood of success in clinical trials when populations are stratified based on genetic variation or designed with multidrug combinations to reach a broader segment of individuals suffering or at risk from NIHL.
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Affiliation(s)
| | - Xinwen Wang
- Department of Pharmaceutical Sciences, Northeast Ohio Medical University, Rootstown, Ohio 44272, USA
| | - Jianxin Bao
- Gateway Biotechnology, St. Louis, Missouri 63132, USA
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Kikano S, Kannankeril PJ. Precision Medicine in Pediatric Cardiology. Pediatr Ann 2022; 51:e390-e395. [PMID: 36215086 DOI: 10.3928/19382359-20220803-05] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Precision medicine is a developing strategy for individualized treatment of a wide range of diseases. Congenital heart disease is the most common of all congenital defects and carries a high degree of variability in outcomes because of unidentified causes. Advances have identified individual genetic and environmental factors that have helped understand variations in morbidity and mortality in pediatric cardiology. A focus on genomics and pharmacogenetics has also been key to risk prediction and improvement in drug safety and efficacy in the pediatric population. With the rapidly evolving understanding of these individual factors, there also come challenges in implementation of personalized medicine into our health care model. This review outlines the key features of precision medicine in pediatric cardiology and highlights the clinical effects of these findings in patients with congenital heart disease. [Pediatr Ann. 2022;51(10):e390-e395.].
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McDermott JH, Wright S, Sharma V, Newman WG, Payne K, Wilson P. Characterizing pharmacogenetic programs using the consolidated framework for implementation research: A structured scoping review. Front Med (Lausanne) 2022; 9:945352. [PMID: 36059837 PMCID: PMC9433561 DOI: 10.3389/fmed.2022.945352] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 07/29/2022] [Indexed: 12/11/2022] Open
Abstract
Several healthcare organizations have developed pre-emptive pharmacogenetic testing programs, where testing is undertaken prior to the prescription of a medicine. This review characterizes the barriers and facilitators which influenced the development of these programs. A bidirectional citation searching strategy identified relevant publications before a standardized data extraction approach was applied. Publications were grouped by program and data synthesis was undertaken using the Consolidated Framework for Implementation Research (CFIR). 104 publications were identified from 40 programs and 4 multi-center initiatives. 26 (66%) of the programs were based in the United States and 95% in high-income countries. The programs were heterogeneous in their design and scale. The Characteristics of the Intervention, Inner Setting, and Process domains were referenced by 92.5, 80, and 77.5% of programs, respectively. A positive institutional culture, leadership engagement, engaging stakeholders, and the use of clinical champions were frequently described as facilitators to implementation. Clinician self-efficacy, lack of stakeholder knowledge, and the cost of the intervention were commonly cited barriers. Despite variation between the programs, there were several similarities in approach which could be categorized via the CFIR. These form a resource for organizations planning the development of pharmacogenetic programs, highlighting key facilitators which can be leveraged to promote successful implementation.
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Affiliation(s)
- John H. McDermott
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
- Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, United Kingdom
- *Correspondence: John H. McDermott,
| | - Stuart Wright
- Division of Population Health, Manchester Centre for Health Economics, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Videha Sharma
- Division of Informatics, Centre for Health Informatics, Imaging and Data Science, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - William G. Newman
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
- Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, United Kingdom
| | - Katherine Payne
- Division of Population Health, Manchester Centre for Health Economics, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Paul Wilson
- Division of Population Health, Centre for Primary Care and Health Services Research, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
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ClinPharmSeq: A targeted sequencing panel for clinical pharmacogenetics implementation. PLoS One 2022; 17:e0272129. [PMID: 35901010 PMCID: PMC9333201 DOI: 10.1371/journal.pone.0272129] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 07/12/2022] [Indexed: 12/02/2022] Open
Abstract
The accurate identification of genetic variants contributing to therapeutic drug response or adverse effects is the first step in implementation of precision drug therapy. Targeted sequencing has recently become a common methodology for large-scale studies of genetic variation thanks to its favorable balance between low cost, high throughput, and deep coverage. Here, we present ClinPharmSeq, a targeted sequencing panel of 59 genes with associations to pharmacogenetic (PGx) phenotypes, as a platform to explore the relationship between drug response and genetic variation, both common and rare. For validation, we sequenced DNA from 64 ethnically diverse Coriell samples with ClinPharmSeq to call star alleles (haplotype patterns) in 27 genes using the bioinformatics tool PyPGx. These reference samples were extensively characterized by multiple laboratories using PGx testing assays and, more recently, whole genome sequencing. We found that ClinPharmSeq can consistently generate deep-coverage data (mean = 274x) with high uniformity (30x or above = 94.8%). Our genotype analysis identified a total of 185 unique star alleles from sequencing data, and showed that diplotype calls from ClinPharmSeq are highly concordant with that from previous publications (97.6%) and whole genome sequencing (97.9%). Notably, all 19 star alleles with complex structural variation including gene deletions, duplications, and hybrids were recalled with 100% accuracy. Altogether, these results demonstrate that the ClinPharmSeq platform offers a feasible path for broad implementation of PGx testing and optimization of individual drug treatments.
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Ramudo-Cela L, Santana-Martínez S, García-Ramos M, Bergamino M, García-Giustiniani D, Vélez-Vieitez P, Hernández-Hernández JL, García-Ibarbia C, González-Bustos P, Ruíz-Martín P, González-Lozano J, Santomé-Collazo L, Grana-Fernandez A, Cabaleiro-Cerviño P, Ortíz M, Monserrat-Iglesias L. Combining familial hypercholesterolemia and statin genetic studies as a strategy for the implementation of pharmacogenomics. A multidisciplinary approach. THE PHARMACOGENOMICS JOURNAL 2022; 22:180-187. [PMID: 35361995 DOI: 10.1038/s41397-022-00274-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 02/27/2022] [Accepted: 03/17/2022] [Indexed: 06/14/2023]
Abstract
The diagnostic process of familial hypercholesterolemia frequently involves the use of genetic studies. Patients are treated with lipid-lowering drugs, frequently statins. Although pharmacogenomic clinical practice guidelines focusing on genotype-based statin prescription have been published, their use in routine clinical practice remains very modest.We have implemented a new NGS strategy that combines a panel of genes related to familial hypercholesterolemia with genomic regions related to the pharmacogenomics of lipid-lowering drugs described in clinical practice guidelines and in EMA and FDA drug labels. A multidisciplinary team of doctors, biologists, and pharmacists creates a clinical report that provides diagnostic and therapeutic findings using a knowledge management and clinical decision support system, as well as an algorithm for treatment selection.For 12 months, a total of 483 genetic diagnostic studies for familial hypercholesterolemia were carried out, of which 221 (45.8%) requested a complementary pharmacogenomic test. Of these 221 patients, 66.5% were carriers of actionable variants in any of the studied pharmacogenomic pathways: 46.6% of patients in one pathway, 19.0% in two pathways, and 0.9% in three pathways. 45.7% of patients could have a response to atorvastatin different from that of the reference population, 45.7% for simvastatin and lovastatin, 29.0% for fluvastatin, and 6.7% patients for pitavastatin.This implementation approach facilitates the incorporation of pharmacogenomic studies in clinical care practice, it does not add complexity nor additional steps to laboratory processes, and improves the pharmacotherapeutic process of patients.
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Affiliation(s)
- Luis Ramudo-Cela
- Health in Code S.L., Scientific Department, A Coruña, Spain.
- Complexo Hospitalario Universitario A Coruña, A Coruña, Spain.
- Universidade da Coruña, A Coruña, Spain.
| | | | | | | | | | | | - Jose Luis Hernández-Hernández
- Department of Internal Medicine, Hospital Universitario Marqués de Valdecilla-IDIVAL, University of Cantabria, Santander, Spain
| | - Carmen García-Ibarbia
- Department of Internal Medicine, Hospital Universitario Marqués de Valdecilla-IDIVAL, University of Cantabria, Santander, Spain
| | | | - Patricia Ruíz-Martín
- Department of Cardiology, Hospital Regional Universitario de Málaga, Málaga, Spain
| | | | | | | | | | - Martín Ortíz
- Health in Code S.L., Scientific Department, A Coruña, Spain
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Steinbach M, Wickizer M, Siwak A, Patel T, Olson J, Horowitz S, Topp R. Analysis of a panel-based pharmacogenomics testing program among members of a commercial and Medicare client of a pharmacy benefits manager. J Manag Care Spec Pharm 2022; 28:485-490. [PMID: 35332788 PMCID: PMC10373039 DOI: 10.18553/jmcp.2022.28.4.485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND: Although the field of pharmacogenomics (PGx) has existed for decades, use of pharmacogenomic information by providers to optimize medication therapy for patients has had relatively slow adoption. There are many factors that have contributed to the slow adoption of PGx testing, but it is partially due to a lack of coverage by payers. If PGx testing is covered by payers, frequently only testing of a specific gene is covered, rather than a panel of many genes. As a result, little is known about how coverage of a panel-based PGx test will affect a member's medication therapy. OBJECTIVES: To determine how giving providers specific medication optimization recommendations, based on results of a panel-based PGx test, impacted members' medication regimens. METHODS: Pharmacy claims data were retrospectively reviewed for this exploratory study. Members who participated in PGx testing were in the intervention group and members who chose not to participate in the PGx testing, but who were eligible to participate, were in the control group. PGx test results, including suggested medication changes, were mailed to providers. To determine if providers adopted the suggested medication changes, pharmacy claims data were analyzed retrospectively for the 4-month period preceding and following the date from which recommendations were provided to prescribers. RESULTS: Of the 101 members included in the analysis, 50 were in the intervention group and 51 were in the control group. In the intervention group, members were taking in a total of 352 medications; 165 of the medications had PGx guidance. Based on the PGx test results, 62 of these medications (37.6%) had recommendations. Of members who received PGx testing, 76% had at least 1 recommended change. When pharmacist recommendations were made, a change was made to the medication 27% of the time. There was a statistically significant difference between the number of medication changes in the PGx group and the control group (P = 0.024). CONCLUSIONS: Recommendations based on PGx testing can lead to changes in medications and an optimized medication regimen for members. DISCLOSURES: The authors have no conflicts to disclose that may present a potential conflict of interest.
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Affiliation(s)
| | | | | | - Tina Patel
- Navitus Health Solutions, LLC, Madison, WI
| | | | | | - Robert Topp
- University of Toledo, College of Nursing, OH
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