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Uber R, Hayduk VA, Pradhan A, Ward T, Flango A, Graham J, Wright EA. Pre-emptive pharmacogenomics implementation among polypharmacy patients 65 years old and older: a clinical pilot. Pharmacogenomics 2023; 24:915-920. [PMID: 37965783 DOI: 10.2217/pgs-2023-0185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2023] Open
Abstract
Aim: Pre-emptive testing of pharmacogenomic (PGx) variations has potential to improve medication safety and effectiveness; however, testing is not routine. Given the newfound payor coverage of multigene testing and the potential value of testing within aging patients, it is imperative to test local PGx testing capabilities, report results to patients and providers, and determine the value of testing. Materials & methods: We designed a randomized clinical pilot of a pre-emptive PGx testing process using the electronic health record compared with usual care among an aging primary care population. Results & conclusion: The impact of the program on prescribing patterns, healthcare utilization and costs of care will be evaluated. We hypothesize that implementation of a pre-emptive multigene PGx panel is feasible among elderly, polypharmacy, primary care patients, measured by the number of enrolled patients with PGx results entered in the medical record. Health system wide PGx implementation, including capacity needed to integrate these valuable results, is also described.
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Affiliation(s)
- Ryley Uber
- Center for Pharmacy Innovation & Outcomes, Geisinger, Danville, PA, USA
| | - Vanessa A Hayduk
- Center for Pharmacy Innovation & Outcomes, Geisinger, Danville, PA, USA
| | - Apoorva Pradhan
- Center for Pharmacy Innovation & Outcomes, Geisinger, Danville, PA, USA
| | - Theron Ward
- Enterprise Pharmacy, Geisinger, Danville, PA, USA
| | | | - Jove Graham
- Center for Pharmacy Innovation & Outcomes, Geisinger, Danville, PA, USA
| | - Eric A Wright
- Center for Pharmacy Innovation & Outcomes, Geisinger, Danville, PA, USA
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Prevalence of exposure to pharmacogenetic drugs by the Saudis treated at the health care centers of the Ministry of National Guard. Saudi Pharm J 2022; 30:1181-1192. [PMID: 36164570 PMCID: PMC9508627 DOI: 10.1016/j.jsps.2022.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 06/17/2022] [Indexed: 12/02/2022] Open
Abstract
Background The drugs impacted by genetic variants are known as pharmacogenetic (PGx) drugs. Patients’ responses to these drugs may vary according to the variability in patients’ genetic makeup. Hence, exploring the pharmacogenes that affect drug treatment is vital to ensure optimal therapy and patients’ safety. This study aimed to describe the usage rate of PGx drugs and the frequency of relevant variants in the Saudi population. Methodology Prescription patterns over seven years (2015–2021) for Saudi patients on PGx drugs treated at the Ministry of National Guard-Health Affairs (MNG-HA) were investigated. Only registered drugs in the MNG-HA formulary (n = 78) were included. The patients were subgrouped into four age groups: ≤24, 25–44, 45–64, and ≥65 years. Further subgrouping was made according to gender and drugs’ therapeutic categories following anatomical therapeutic chemical (ATC) classification. Furthermore, an online searching was carried out to identify the pharmacogenes reported in the literature among healthy Saudis. The search included 45 genes that may affect drug outcomes based on evidence rated by either CPIC (A-B levels) or PharmGKB (1–2 levels). Results The screened patients were 1,483,905. Patients on PGx drugs accounted for 46.7% (n = 693,077 patients). The analgesic group was the most prescribed drug category (47%), which included ibuprofen (20.5%), celecoxib (6.3%), tramadol (5.8%), and others. Cardiovascular agents were the second-most utilized drug class (24.4%). Omeprazole was the second most commonly used medication (11.1%) but ranked third as a class (gastroenterology). Females used PGx drugs more frequently than males (53.5% versus 46.5%) and a higher usage rate by patients aged 45–64 years (31.3%) was noted. The cytochrome P450 genes (CYP2C9, CYP2C19, and CYP2D6) were estimated to impact responses of 54.3% (n = 1,156,113) of the used drugs (27.2% are possibly affected by CYP2C9, 12.8% by CYP2C19, and 14.3% by CYP2D6). Thirty-five pharmacogenes that characterize Saudi population and their variants’ allele frequencies were identified from previous reports. This study presents the largest reported number of genes that may affect drug therapies among Saudis. Conclusion This study confirmed that a high percentage of Saudi patients use PGx drugs and various genotypes of certain pharmacogenes are inherited by the Saudi population.
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Cacabelos R, Naidoo V, Corzo L, Cacabelos N, Carril JC. Genophenotypic Factors and Pharmacogenomics in Adverse Drug Reactions. Int J Mol Sci 2021; 22:ijms222413302. [PMID: 34948113 PMCID: PMC8704264 DOI: 10.3390/ijms222413302] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 12/05/2021] [Accepted: 12/06/2021] [Indexed: 02/06/2023] Open
Abstract
Adverse drug reactions (ADRs) rank as one of the top 10 leading causes of death and illness in developed countries. ADRs show differential features depending upon genotype, age, sex, race, pathology, drug category, route of administration, and drug–drug interactions. Pharmacogenomics (PGx) provides the physician effective clues for optimizing drug efficacy and safety in major problems of health such as cardiovascular disease and associated disorders, cancer and brain disorders. Important aspects to be considered are also the impact of immunopharmacogenomics in cutaneous ADRs as well as the influence of genomic factors associated with COVID-19 and vaccination strategies. Major limitations for the routine use of PGx procedures for ADRs prevention are the lack of education and training in physicians and pharmacists, poor characterization of drug-related PGx, unspecific biomarkers of drug efficacy and toxicity, cost-effectiveness, administrative problems in health organizations, and insufficient regulation for the generalized use of PGx in the clinical setting. The implementation of PGx requires: (i) education of physicians and all other parties involved in the use and benefits of PGx; (ii) prospective studies to demonstrate the benefits of PGx genotyping; (iii) standardization of PGx procedures and development of clinical guidelines; (iv) NGS and microarrays to cover genes with high PGx potential; and (v) new regulations for PGx-related drug development and PGx drug labelling.
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Affiliation(s)
- Ramón Cacabelos
- Department of Genomic Medicine, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Bergondo, 15165 Corunna, Spain
- Correspondence: ; Tel.: +34-981-780-505
| | - Vinogran Naidoo
- Department of Neuroscience, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Bergondo, 15165 Corunna, Spain;
| | - Lola Corzo
- Department of Medical Biochemistry, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Bergondo, 15165 Corunna, Spain;
| | - Natalia Cacabelos
- Department of Medical Documentation, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Bergondo, 15165 Corunna, Spain;
| | - Juan C. Carril
- Departments of Genomics and Pharmacogenomics, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Bergondo, 15165 Corunna, Spain;
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Favela-Mendoza AF, Rodríguez-Rodríguez BG, Rojas-Prado E, Chávez-Arreguin M, Aguilar-Velázquez JA, Martínez-Cortés G, Rangel-Villalobos H. Prevalence of protective haplotypes of the SLCO1B1 gene for statin transport in Mexican populations. Per Med 2021; 18:533-540. [PMID: 34674552 DOI: 10.2217/pme-2020-0172] [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: 11/21/2022]
Abstract
Aim: To evaluate the genetic distribution of the rs4149056 and rs2306283 variants in the SLCO1B1 gene in Mexican Mestizo (admixed) and Native American groups. Materials & methods: We recruited 360 volunteers who were qPCR-genotyped with TaqMan probes. Results: Allele and genotype frequencies are reported. Among the expected rs4149056-rs2306283 haplotypes, T-A (42.35-58.47%) was the most prevalent which relates to the normal activity of the OATP1B1 transporter. This was followed by the T-G haplotype associated with further statin transport and cholesterol reduction (32.49-43.76%). Conclusion: Based on these SLCO1B1 gene variants, we confirmed that a minimum fraction of the Mexican study populations would be at risk from decreasing simvastatin transport and the development of statin-induced myopathy.
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Affiliation(s)
- Alma Faviola Favela-Mendoza
- Instituto de Investigación en Genética Molecular, Centro Universitario de la Ciénega, Universidad de Guadalajara (CUCiénega-UdeG), Ocotlán, Jalisco, México
| | - Brenda Guadalupe Rodríguez-Rodríguez
- Instituto de Investigación en Genética Molecular, Centro Universitario de la Ciénega, Universidad de Guadalajara (CUCiénega-UdeG), Ocotlán, Jalisco, México
| | - Eduardo Rojas-Prado
- Instituto de Investigación en Genética Molecular, Centro Universitario de la Ciénega, Universidad de Guadalajara (CUCiénega-UdeG), Ocotlán, Jalisco, México
| | - Mariana Chávez-Arreguin
- Instituto de Investigación en Genética Molecular, Centro Universitario de la Ciénega, Universidad de Guadalajara (CUCiénega-UdeG), Ocotlán, Jalisco, México
| | - José Alonso Aguilar-Velázquez
- Instituto de Investigación en Genética Molecular, Centro Universitario de la Ciénega, Universidad de Guadalajara (CUCiénega-UdeG), Ocotlán, Jalisco, México
| | - Gabriela Martínez-Cortés
- Instituto de Investigación en Genética Molecular, Centro Universitario de la Ciénega, Universidad de Guadalajara (CUCiénega-UdeG), Ocotlán, Jalisco, México
| | - Héctor Rangel-Villalobos
- Instituto de Investigación en Genética Molecular, Centro Universitario de la Ciénega, Universidad de Guadalajara (CUCiénega-UdeG), Ocotlán, Jalisco, México
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Ji X, Ning B, Liu J, Roberts R, Lesko L, Tong W, Liu Z, Shi T. Towards population-specific pharmacogenomics in the era of next-generation sequencing. Drug Discov Today 2021; 26:1776-1783. [PMID: 33892143 DOI: 10.1016/j.drudis.2021.04.015] [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: 04/07/2020] [Revised: 01/22/2021] [Accepted: 04/12/2021] [Indexed: 11/27/2022]
Abstract
Pharmacogenomics (PGx) has essential roles in identifying optimal drug responders, optimizing dosage regimens and avoiding adverse events. Population-specific therapeutic interventions that tackle the genetic root causes of clinical outcomes are an important precision medicine strategy. In this perspective, we discuss next-generation sequencing genotyping and its significance for population-specific PGx applications. We emphasize the potential of NGS for preemptive pharmacogenotyping, which is crucial to population-specific clinical studies and patient care. We also provide examples that use publicly available population-based genomics data for population-specific PGx studies. Last, we discuss the remaining challenges and regulatory efforts towards improvements in this field.
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Affiliation(s)
- Xiangjun Ji
- The Center for Bioinformatics and Computational Biology, The Institute of Biomedical Sciences and School of Life Sciences, School of Statistics, East China Normal University, Shanghai 200241, China; Guangdong Provincial Key Laboratory of Proteomics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Baitang Ning
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR Rd., Jefferson, AR 72079, USA
| | - Jinghua Liu
- Guangdong Provincial Key Laboratory of Proteomics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Ruth Roberts
- ApconiX, BioHub at Alderley Park, Alderley Edge SK10 4TG, UK; University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Larry Lesko
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR Rd., Jefferson, AR 72079, USA; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, University of Florida at Lake Nona, Orlando, FL, USA
| | - Weida Tong
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR Rd., Jefferson, AR 72079, USA.
| | - Zhichao Liu
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR Rd., Jefferson, AR 72079, USA.
| | - Tieliu Shi
- The Center for Bioinformatics and Computational Biology, The Institute of Biomedical Sciences and School of Life Sciences, School of Statistics, East China Normal University, Shanghai 200241, China; Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR Rd., Jefferson, AR 72079, USA; National Center for International Research of Biological Targeting Diagnosis and Therapy, Guangxi Key Laboratory of Biological Targeting Diagnosis and Therapy Research, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning, Guangxi 530021, China.
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Roberts TA, Wagner JA, Sandritter T, Black BT, Gaedigk A, Stancil SL. Retrospective Review of Pharmacogenetic Testing at an Academic Children's Hospital. Clin Transl Sci 2021; 14:412-421. [PMID: 33048453 PMCID: PMC7877836 DOI: 10.1111/cts.12895] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 09/02/2020] [Indexed: 12/28/2022] Open
Abstract
There is limited evidence to support pharmacogenetic (PGx) testing in children. We conducted a retrospective review of PGx testing among 452 patients at an academic children's hospital to determine the potential utility of PGx in diseases of childhood and to identify targets for future pediatric pharmacogenetic research. An actionable gene-drug pair associated with the 28 genes tested (Clinical Pharmacogenetics Implementation Consortium (CPIC) level A or B, Pharmacogenomics Knowledge Base (PharmGKB) level 1A or B, or US Food and Drug Administration (FDA) recommendation and a PharmGKB level) was present in 98.7% of patients. We identified 203 actionable gene-drug-diagnosis groups based on the indications for each actionable drug listed in Lexicomp. Among patients with an actionable gene-drug-diagnosis group, 49.3% had a diagnosis where the drug was a therapeutic option and PGx could be used to guide treatment selection. Among patients with an associated diagnosis, 30.9% had a prescription for the actionable drug allowing PGx guided dosing. Three genes (CYP2C19, CYP2D6, and CYP3A5) accounted for all the gene-drug-diagnosis groups with matching diagnoses and prescriptions. The most common gene-drug-diagnosis groups with matching diagnoses and prescriptions were CYP2C19-citalopram-escitalopram-depression 3.3% of patients tested; CYP2C19-dexlansoprazole-gastritis-esophagitis 3.1%; CYP2C19-omeprazole-gastritis-esophagitis 2.4%; CYP2D6-atomoxetine-attention deficit hyperactivity disorder 2.2%; and CYP2C19-citalopram-escitalopram-obsessive-compulsive disorder 1.5%. PGx could be used to guide selection of current treatment options or medication dosing in almost half (48.7%) of pediatric patients tested. Mood disorders and gastritis/esophagitis are promising targets for future study of PGx testing because of the high prevalence of these diagnoses and associated actionable gene-drug pairs in the pediatric population.
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Affiliation(s)
- Timothy A. Roberts
- Division of Adolescent MedicineChildren’s Mercy Kansas CityKansas CityMissouriUSA
- Department of PediatricsUMKC School of MedicineKansas CityMissouriUSA
| | - Jennifer A. Wagner
- Department of PediatricsUMKC School of MedicineKansas CityMissouriUSA
- Division of Clinical PharmacologyToxicology, and Therapeutic InnovationChildren’s Mercy Kansas CityKansas CityMissouriUSA
| | - Tracy Sandritter
- Division of Clinical PharmacologyToxicology, and Therapeutic InnovationChildren’s Mercy Kansas CityKansas CityMissouriUSA
| | - Benjamin T. Black
- Department of PediatricsUMKC School of MedicineKansas CityMissouriUSA
- Division of Developmental and Behavioral HealthChildren’s Mercy Kansas CityKansas CityMissouriUSA
| | - Andrea Gaedigk
- Department of PediatricsUMKC School of MedicineKansas CityMissouriUSA
- Division of Clinical PharmacologyToxicology, and Therapeutic InnovationChildren’s Mercy Kansas CityKansas CityMissouriUSA
| | - Stephani L. Stancil
- Division of Adolescent MedicineChildren’s Mercy Kansas CityKansas CityMissouriUSA
- Division of Clinical PharmacologyToxicology, and Therapeutic InnovationChildren’s Mercy Kansas CityKansas CityMissouriUSA
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Ikonnikova AY, Filippova MA, Surzhikov SA, Pozhitnova VO, Kazakov RE, Lisitsa TS, Belkov SA, Nasedkina TV. Biochip-based approach for comprehensive pharmacogenetic testing. Drug Metab Pers Ther 2020; 36:dmdi-2020-0155. [PMID: 33780199 DOI: 10.1515/dmpt-2020-0155] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Accepted: 11/09/2020] [Indexed: 02/05/2023]
Abstract
OBJECTIVES Individual sensitivity to many widely used drugs is significantly associated with genetic factors. The purpose of our work was to develop an instrument for simultaneous determination of the most clinically relevant pharmacogenetic markers to allow personalized treatment, mainly in patients with cardiovascular diseases. METHODS Multiplex one-step polymerase chain reaction (PCR) followed by hybridization on a low-density biochip was applied to interrogate 15 polymorphisms in the following eight genes: VKORC1 -1639 G>A, CYP4F2 1297 G>A, GGCX 2374 C>G, CYP2C9 *2,*3 (430 C>T, 1075 A>C), CYP2D6 *3,*4, *6, *9, *41 (2549delA, 1846 G>A, 1707delT, 2615_2617delAAG, 2988 G>A), CYP2C19 *2,*3,*17 (681 G>A, 636 G>A, -806 C>T), ABCB1 (3435 C>T), SLCO1B1 *5. RESULTS Two hundred nineteen patients with cardiovascular diseases (CVD) and 48 female patients with estrogen receptor (ER)-positive breast cancer (BC) were genotyped. Of the 219 CVD patients, 203 (92.7%) carried one or more actionable at-risk genotypes based on VKORC1/CYP2C9, CYP2C9, CYP2C19, SLCO1B1, and CYP2D6 genotypes. Among them, 67 patients (30.6%) carried one, 58 patients (26.5%) carried two, 51 patients (23.3%) carried three, 26 patients (11.9%) carried four, and one patient (0.4%) carried five risk actionable genotypes. In the ER-positive BC group 12 patients (25%) were CYP2D6 intermediate or poor metabolizers. CONCLUSIONS The developed biochip is applicable for rapid and robust genotyping of patients who were taking a wide spectrum of medications to optimize drugs and dosage and avoid adverse drug reactions in cardiology, oncology, psychiatry, rheumatology and gastroenterology.
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Affiliation(s)
- Anna Yu Ikonnikova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Marina A Filippova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Sergey A Surzhikov
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Victoria O Pozhitnova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Ruslan E Kazakov
- Federal State Budgetary Institution "Scientific Centre for Expert Evaluation of Medicinal Products" of the Ministry of Health of the Russian Federation, Moscow, Russia
| | - Tatiana S Lisitsa
- Moscow Clinical Scientific Center named after Loginov Moscow Healthcare Department, Moscow, Russia
| | - Sergey A Belkov
- Federal State Budgetary Institution "Scientific Centre for Expert Evaluation of Medicinal Products" of the Ministry of Health of the Russian Federation, Moscow, Russia
| | - Tatiana V Nasedkina
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
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Black RM, Williams AK, Ratner L, Crona DJ, Wiltshire T, Weck KE, Stouffer GA, Lee CR. Projected impact of pharmacogenomic testing on medications beyond antiplatelet therapy in percutaneous coronary intervention patients. Pharmacogenomics 2020; 21:431-441. [PMID: 32343201 DOI: 10.2217/pgs-2019-0185] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Aim: CYP2C19 genotyping is used to guide antiplatelet therapy after percutaneous coronary intervention (PCI). This study evaluated the potential impact of CYP2C19 and multigene pharmacogenomics (PGx) testing on medications beyond antiplatelet therapy in a real-world cohort of PCI patients that underwent CYP2C19 testing. Methodology & results: Multiple medications with actionable PGx recommendations, including proton pump inhibitors, antidepressants and opioids, were commonly prescribed. Approximately 50% received a CYP2C19 metabolized medication beyond clopidogrel and 7% met criteria for a CYP2C19 genotype-guided intervention. A simulation analysis projected that 17.5 PGx-guided medication interventions per 100 PCI patients could have been made if multigene PGx results were available. Conclusion: This suggests that CYP2C19 and multigene PGx results could be used to optimize medication prescribing beyond antiplatelet therapy in PCI patients.
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Affiliation(s)
- Rachel M Black
- Division of Pharmacotherapy & Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Alexis K Williams
- Division of Pharmacotherapy & Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Lindsay Ratner
- Division of Pharmacotherapy & Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Daniel J Crona
- Division of Pharmacotherapy & Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Tim Wiltshire
- Division of Pharmacotherapy & Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Karen E Weck
- Department of Pathology & Laboratory Medicine, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - George A Stouffer
- Division of Cardiology, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.,UNC McAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Craig R Lee
- Division of Pharmacotherapy & Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.,UNC McAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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Dong OM, Wheeler SB, Cruden G, Lee CR, Voora D, Dusetzina SB, Wiltshire T. Cost-Effectiveness of Multigene Pharmacogenetic Testing in Patients With Acute Coronary Syndrome After Percutaneous Coronary Intervention. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2020; 23:61-73. [PMID: 31952675 DOI: 10.1016/j.jval.2019.08.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 06/26/2019] [Accepted: 08/07/2019] [Indexed: 06/10/2023]
Abstract
OBJECTIVE To evaluate the cost-effectiveness of multigene testing (CYP2C19, SLCO1B1, CYP2C9, VKORC1) compared with single-gene testing (CYP2C19) and standard of care (no genotyping) in acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI) from Medicare's perspective. METHODS A hybrid decision tree/Markov model was developed to simulate patients post-PCI for ACS requiring antiplatelet therapy (CYP2C19 to guide antiplatelet selection), statin therapy (SLCO1B1 to guide statin selection), and anticoagulant therapy in those that develop atrial fibrillation (CYP2C9/VKORC1 to guide warfarin dose) over 12 months, 24 months, and lifetime. The primary outcome was cost (2016 US dollar) per quality-adjusted life years (QALYs) gained. Costs and QALYs were discounted at 3% per year. Probabilistic sensitivity analysis (PSA) varied input parameters (event probabilities, prescription costs, event costs, health-state utilities) to estimate changes in the cost per QALY gained. RESULTS Base-case-discounted results indicated that the cost per QALY gained was $59 876, $33 512, and $3780 at 12 months, 24 months, and lifetime, respectively, for multigene testing compared with standard of care. Single-gene testing was dominated by multigene testing at all time horizons. PSA-discounted results indicated that, at the $50 000/QALY gained willingness-to-pay threshold, multigene testing had the highest probability of cost-effectiveness in the majority of simulations at 24 months (61%) and over the lifetime (81%). CONCLUSIONS On the basis of projected simulations, multigene testing for Medicare patients post-PCI for ACS has a higher probability of being cost-effective over 24 months and the lifetime compared with single-gene testing and standard of care and could help optimize medication prescribing to improve patient outcomes.
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Affiliation(s)
- Olivia M Dong
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Center for Pharmacogenomics and Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Currently at the Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, USA.
| | - Stephanie B Wheeler
- Department of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gracelyn Cruden
- Department of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Craig R Lee
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Center for Pharmacogenomics and Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; McAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Deepak Voora
- Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, USA
| | | | - Tim Wiltshire
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Center for Pharmacogenomics and Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Suzuki O, Dong OM, Howard RM, Wiltshire T. Characterizing the pharmacogenome using molecular inversion probes for targeted next-generation sequencing. Pharmacogenomics 2019; 20:1005-1020. [DOI: 10.2217/pgs-2019-0057] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Aim: This study assesses the technical performance and cost of a targeted next-generation sequencing (NGS) multigene pharmacogenetic (PGx) test. Materials & methods: A genetic test was developed for 21 PGx genes using molecular inversion probes to generate library fragments for NGS. Performance of this test was assessed using 53 unique reference control cell lines from the Genetic Testing Reference Materials Coordination Program (GeT-RM). Results: 93.7% of variants were successfully called and the repeatability rate was 99.9%. Reference calls were available for 78.4% of diplotype calls resulting from PGx testing, and concordance for the test was 85.7%. Cost per sample was $32–$56. Conclusion: A targeted NGS assay using molecular inversion probe technology is able to characterize the pharmacogenome efficiently.
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Affiliation(s)
- Oscar Suzuki
- Division of Pharmacotherapy & Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Center for Pharmacogenomics & Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Olivia M Dong
- Division of Pharmacotherapy & Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Center for Pharmacogenomics & Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Rachel M Howard
- Division of Pharmacotherapy & Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Center for Pharmacogenomics & Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Tim Wiltshire
- Division of Pharmacotherapy & Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Center for Pharmacogenomics & Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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11
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Alshabeeb MA, Deneer VHM, Khan A, Asselbergs FW. Use of Pharmacogenetic Drugs by the Dutch Population. Front Genet 2019; 10:567. [PMID: 31312209 PMCID: PMC6614185 DOI: 10.3389/fgene.2019.00567] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 05/29/2019] [Indexed: 12/27/2022] Open
Abstract
Introduction The Dutch Pharmacogenetics Working Group (DPWG) indicated a list of actionable genotypes that affect patients’ response to more 50 drugs; these drugs which show variable effects based on patients’ genetic traits were named as pharmacogenetics (PGX) drugs. Preemptive genetic testing before using these drugs may protect certain patients from serious adverse reactions and could help in avoiding treatment failures. The objectives of this study include identifying the rate of PGX drug usage among Dutch population, estimating the level of users who carry the actionable genotypes and determining the main genes involved in drug’s effect variability. Methods Usage of PGX drugs over 2011–2017 by the insured population (an average of 11.4 million) in outpatient clinics in Netherlands was obtained from the publically available GIP databank. The data of 45 drugs were analyzed and their interactions with selected pharmacogenes were estimated. Frequency of actionable genotypes of 249 Dutch parents was obtained from the public database: Genome of Netherlands (GoNL), to identify the pattern of genetic characteristics of Dutch population. Results Over a 7 year period, 51.3 million exposures of patients to PGX drugs were reported with an average of 5.3 exposures per each drug user. One quarterof the exposures (12.4 million) are predicted to be experienced by individuals with actionable genotypes (risky exposures). Up to 60% of the risky exposures (around 7.5 million) were related to drugs metabolized by CYP2D6. SLCO1B1, and CYP2C19 were also identified among the top genes affecting response of drugs users (involved in about 22 and 12.4% of the risky exposures, respectively). Cardiovascular medications were the top prescribed PGX drug class (43%), followed by gastroenterology (29%) and psychiatry/neurology medications (15%). Women use more PGX drugs than men (55.8 vs. 44.2%, respectively) with the majority (84%) of users in both sexes are above 45 years. Conclusion PGX drugs are commonly used in Netherlands. Preemptive panel testing for CYP2D6, SLCO1B1, and CYP2C19 only could be useful to predict 95% of vulnerable patients’ exposures to PGX drugs. Future studies to assess the economic impact of preemptive panel testing on patients of older age are suggested.
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Affiliation(s)
- Mohammad A Alshabeeb
- Medical Genomics Research Department, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.,King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.,Division Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Vera H M Deneer
- Department of Clinical Pharmacy, University Medical Center Utrecht, Utrecht, Netherlands
| | - Amjad Khan
- Medical Genomics Research Department, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.,King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Folkert W Asselbergs
- Division Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.,Faculty of Population Health Sciences, Institute of Cardiovascular Science, University College London, London, United Kingdom.,Health Data Research UK and Institute of Health Informatics, University College London, London, United Kingdom
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12
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Fulton CR, Zang Y, Desta Z, Rosenman MB, Holmes AM, Decker BS, Zhang Y, T Callaghan J, Pratt VM, Levy KD, Gufford BT, Dexter PR, Skaar TC, Eadon MT. Drug-gene and drug-drug interactions associated with tramadol and codeine therapy in the INGENIOUS trial. Pharmacogenomics 2019; 20:397-408. [PMID: 30784356 DOI: 10.2217/pgs-2018-0205] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Background: Tramadol and codeine are metabolized by CYP2D6 and are subject to drug-gene and drug-drug interactions. Methods: This interim analysis examined prescribing behavior and efficacy in 102 individuals prescribed tramadol or codeine while receiving pharmaco-genotyping as part of the INGENIOUS trial (NCT02297126). Results: Within 60 days of receiving tramadol or codeine, clinicians more frequently prescribed an alternative opioid in ultrarapid and poor metabolizers (odds ratio: 19.0; 95% CI: 2.8-160.4) as compared with normal or indeterminate metabolizers (p = 0.01). After adjusting the CYP2D6 activity score for drug-drug interactions, uncontrolled pain was reported more frequently in individuals with reduced CYP2D6 activity (odds ratio: 0.50; 95% CI: 0.25-0.94). Conclusion: Phenoconversion for drug-drug and drug-gene interactions is an important consideration in pharmacogenomic implementation; drug-drug interactions may obscure the potential benefits of genotyping.
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Affiliation(s)
- Cathy R Fulton
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.,Department of Health Informatics, Indiana University School of Informatics and Computing, Indianapolis, IN 46202, USA
| | - Yong Zang
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Zeruesenay Desta
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Marc B Rosenman
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.,Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL 60611, USA.,Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Ann M Holmes
- Richard M Fairbanks School of Public Health, Indiana University-Purdue University Indianapolis, IN 46202, USA
| | - Brian S Decker
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Yifei Zhang
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - John T Callaghan
- Regenstrief Institute for Health Care, Indianapolis, IN 46202, USA
| | - Victoria M Pratt
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Kenneth D Levy
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Brandon T Gufford
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Paul R Dexter
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.,Richard L Roudebush Veteran Affairs Medical Center, Indianapolis, IN 46202, USA
| | - Todd C Skaar
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Michael T Eadon
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
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