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Fragala MS, Keogh M, Goldberg SE, Lorenz RA, Shaman JA. Clinical and economic outcomes of a pharmacogenomics-enriched comprehensive medication management program in a self-insured employee population. THE PHARMACOGENOMICS JOURNAL 2024; 24:30. [PMID: 39358335 PMCID: PMC11446811 DOI: 10.1038/s41397-024-00350-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 07/23/2024] [Accepted: 08/28/2024] [Indexed: 10/04/2024]
Abstract
Clinical and economic outcomes from a pharmacogenomics-enriched comprehensive medication management program were evaluated over 26 months in a self-insured U.S. employee population (n = 452 participants; n = 1500 controls) using propensity matched pre-post design with adjusted negative binomial and linear regression models. After adjusting for baseline covariates, program participation was associated with 39% fewer inpatient (p = 0.05) and 39% fewer emergency department (p = 0.002) visits, and with 21% more outpatient visits (p < 0.001) in the follow-up period compared to the control group. Results show pharmacogenomics-enriched comprehensive medication management can favorably impact healthcare utilization in a self-insured employer population by reducing emergency department and inpatient visits and can offer the potential for cost savings. Self-insured employers may consider implementing pharmacogenomics-enriched comprehensive medication management to improve the healthcare of their employees.
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Korczeniewska OA, Dakshinamoorthy J, Prabhakar V, Lingaiah U. Genetics Affecting the Prognosis of Dental Treatments. Dent Clin North Am 2024; 68:659-692. [PMID: 39244250 DOI: 10.1016/j.cden.2024.05.003] [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: 09/09/2024]
Abstract
Genetics plays a significant role in determining an individual's susceptibility to dental diseases, the response to dental treatments, and the overall prognosis of dental interventions. Here, the authors explore the various genetic factors affecting the prognosis of dental treatments focusing on dental caries, orthodontic treatment, oral cancer, prosthodontic treatment, periodontal disease, developmental disorders, pharmacogenetics, and genetic predisposition to faster wound healing. Understanding the genetic underpinnings of dental health can help personalize treatment plans, predict outcomes, and improve the overall quality of dental care.
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Affiliation(s)
- Olga A Korczeniewska
- Department of Diagnostic Sciences, Center for Orofacial Pain and Temporomandibular Disorders, Rutgers School of Dental Medicine, Rutgers, The State University of New Jersey, 110 Bergen Street, Room D-880, Newark, NJ 07101, USA
| | - Janani Dakshinamoorthy
- GeneAura Pvt. Ltd, AP1166, 4th street, Anna Nagar, Thendral Colony, Chennai 600040, India.
| | - Vaishnavi Prabhakar
- Department of Dental Sciences Dr. M.G.R. Educational And Research Institute Periyar E.V.R. High Road, (NH 4 Highway) Maduravoyal, Chennai 600095, India
| | - Upasana Lingaiah
- Upasana Lingaiah, Department of Oral Medicine and Radiology, V S Dental College and Hospital, Room number 1, K R Road, V V Puram, Bengaluru, Karnataka 560004, India
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Abdel‐latif R, Badji R, Mohammed S, Al‐Muftah W, Mbarek H, Darwish D, Assaf D, Al‐Badriyeh D, Elewa H, Afifi N, Masoodi NA, Omar AS, Al Suwaidi J, Bujassoum S, Al Hail M, Ismail SI, Althani A. QPGx-CARES: Qatar pharmacogenetics clinical applications and research enhancement strategies. Clin Transl Sci 2024; 17:e13800. [PMID: 38818903 PMCID: PMC11140449 DOI: 10.1111/cts.13800] [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: 02/26/2024] [Revised: 04/03/2024] [Accepted: 04/05/2024] [Indexed: 06/01/2024] Open
Abstract
Pharmacogenetic (PGx)-informed medication prescription is a cutting-edge genomic application in contemporary medicine, offering the potential to overcome the conventional "trial-and-error" approach in drug prescription. The ability to use an individual's genetic profile to predict drug responses allows for personalized drug and dosage selection, thereby enhancing the safety and efficacy of treatments. However, despite significant scientific and clinical advancements in PGx, its integration into routine healthcare practices remains limited. To address this gap, the Qatar Genome Program (QGP) has embarked on an ambitious initiative known as QPGx-CARES (Qatar Pharmacogenetics Clinical Applications and Research Enhancement Strategies), which aims to set a roadmap for optimizing PGx research and clinical implementation on a national scale. The goal of QPGx-CARES initiative is to integrate PGx testing into clinical settings with the aim of improving patient health outcomes. In 2022, QGP initiated several implementation projects in various clinical settings. These projects aimed to evaluate the clinical utility of PGx testing, gather valuable insights into the effective dissemination of PGx data to healthcare professionals and patients, and identify the gaps and the challenges for wider adoption. QPGx-CARES strategy aimed to integrate evidence-based PGx findings into clinical practice, focusing on implementing PGx testing for cardiovascular medications, supported by robust scientific evidence. The current initiative sets a precedent for the nationwide implementation of precision medicine across diverse clinical domains.
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Affiliation(s)
- Rania Abdel‐latif
- Qatar Genome Program, Qatar Precision Health InstituteQatar FoundationDohaQatar
| | - Radja Badji
- Qatar Genome Program, Qatar Precision Health InstituteQatar FoundationDohaQatar
| | | | - Wadha Al‐Muftah
- Qatar Genome Program, Qatar Precision Health InstituteQatar FoundationDohaQatar
| | - Hamdi Mbarek
- Qatar Genome Program, Qatar Precision Health InstituteQatar FoundationDohaQatar
| | - Dima Darwish
- Qatar Genome Program, Qatar Precision Health InstituteQatar FoundationDohaQatar
| | - Duha Assaf
- Qatar Genome Program, Qatar Precision Health InstituteQatar FoundationDohaQatar
| | | | - Hazem Elewa
- College of Pharmacy, QU HealthQatar UniversityDohaQatar
| | - Nahla Afifi
- Qatar Biobank for Medical ResearchQatar Foundation for Education, Science, and CommunityDohaQatar
| | | | - Amr Salah Omar
- Cardiology and Cardiovascular SurgeryDepartment Hamad Medical CorporationDohaQatar
| | - Jassim Al Suwaidi
- Cardiology and Cardiovascular SurgeryDepartment Hamad Medical CorporationDohaQatar
| | - Salha Bujassoum
- Medical Oncology, National Center for Cancer Care and ResearchDepartment Hamad Medical CorporationDohaQatar
| | - Moza Al Hail
- Pharmacy DepartmentHamad Medical CorporationDohaQatar
| | - Said I. Ismail
- Qatar Genome Program, Qatar Precision Health InstituteQatar FoundationDohaQatar
| | - Asma Althani
- Biomedical Research CenterQatar UniversityDohaQatar
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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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5
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Kanegusuku ALG, Chan CW, O'Donnell PH, Yeo KTJ. Implementation of pharmacogenomics testing for precision medicine. Crit Rev Clin Lab Sci 2024; 61:89-106. [PMID: 37776898 DOI: 10.1080/10408363.2023.2255279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 08/31/2023] [Indexed: 10/02/2023]
Abstract
Great strides have been made in the past decade to lower barriers to clinical pharmacogenomics implementation. Nevertheless, PGx consultation prior to prescribing therapeutics is not yet mainstream. This review addresses the current climate surrounding PGx implementation, focusing primarily on strategies for implementation at academic institutions, particularly at The University of Chicago, and provides an up-to-date guide of resources supporting the development of PGx programs. Remaining challenges and recent strategies for overcoming these challenges to implementation are discussed.
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Affiliation(s)
| | - Clarence W Chan
- Departments of Pathology, The University of Chicago, Chicago, IL, USA
| | - Peter H O'Donnell
- Department of Medicine, The University of Chicago, Chicago, IL, USA
- Center for Personalized Therapeutics, The University of Chicago, Chicago, IL, USA
| | - Kiang-Teck J Yeo
- Departments of Pathology, The University of Chicago, Chicago, IL, USA
- Center for Personalized Therapeutics, The University of Chicago, Chicago, IL, USA
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Hurrell T, Naidoo J, Masimirembwa C, Scholefield J. The Case for Pre-Emptive Pharmacogenetic Screening in South Africa. J Pers Med 2024; 14:114. [PMID: 38276236 PMCID: PMC10817273 DOI: 10.3390/jpm14010114] [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: 11/23/2023] [Revised: 01/12/2024] [Accepted: 01/15/2024] [Indexed: 01/27/2024] Open
Abstract
Lack of equitable representation of global genetic diversity has hampered the implementation of genomic medicine in under-represented populations, including those on the African continent. Data from the multi-national Pre-emptive Pharmacogenomic Testing for Preventing Adverse Drug Reactions (PREPARE) study suggest that genotype guidance for prescriptions reduced the incidence of clinically relevant adverse drug reactions (ADRs) by 30%. In this study, hospital dispensary trends from a tertiary South African (SA) hospital (Steve Biko Academic Hospital; SBAH) were compared with the drugs monitored in the PREPARE study. Dispensary data on 29 drugs from the PREPARE study accounted for ~10% of total prescriptions and ~9% of the total expenditure at SBAH. VigiLyze data from the South African Health Products Regulatory Authority were interrogated for local ADRs related to these drugs; 27 were listed as being suspected, concomitant, or interacting in ADR reports. Furthermore, a comparison of pharmacogene allele frequencies between African and European populations was used to frame the potential impact of pre-emptive pharmacogenetic screening in SA. Enumerating the benefit of pre-emptive pharmacogenetic screening in SA will only be possible once we initiate its full application. However, regional genomic diversity, disease burden, and first-line treatment options could be harnessed to target stratified PGx today.
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Affiliation(s)
- Tracey Hurrell
- Bioengineering and Integrated Genomics Group, Future Production Chemicals Cluster, Council for Scientific and Industrial Research, Pretoria 0001, South Africa; (T.H.); (J.N.)
| | - Jerolen Naidoo
- Bioengineering and Integrated Genomics Group, Future Production Chemicals Cluster, Council for Scientific and Industrial Research, Pretoria 0001, South Africa; (T.H.); (J.N.)
| | - Collen Masimirembwa
- African Institute of Biomedical Science and Technology, Harare 00263, Zimbabwe;
- Sydney Brenner Institute for Molecular Biology, Division of Human Genetics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa
| | - Janine Scholefield
- Bioengineering and Integrated Genomics Group, Future Production Chemicals Cluster, Council for Scientific and Industrial Research, Pretoria 0001, South Africa; (T.H.); (J.N.)
- Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa
- Division of Human Genetics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa
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Baldacci A, Saguin E, Balcerac A, Mouchabac S, Ferreri F, Gaillard R, Colas MD, Delacour H, Bourla A. Pharmacogenetic Guidelines for Psychotropic Drugs: Optimizing Prescriptions in Clinical Practice. Pharmaceutics 2023; 15:2540. [PMID: 38004520 PMCID: PMC10674305 DOI: 10.3390/pharmaceutics15112540] [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: 09/21/2023] [Revised: 10/15/2023] [Accepted: 10/20/2023] [Indexed: 11/26/2023] Open
Abstract
The modalities for prescribing a psychotropic (dose and choice of molecule) are currently unsatisfactory, which can lead to a lack of efficacy of the treatment associated with prolonged exposure of the patient to the symptoms of his or her illness and the side effects of the molecule. In order to improve the quality of treatment prescription, a part of the current biomedical research is dedicated to the development of pharmacogenetic tools for individualized prescription. In this guideline, we will present the genes of interest with level 1 clinical recommendations according to PharmGKB for the two major families of psychotropics: antipsychotics and antidepressants. For antipsychotics, there are CYP2D6 and CYP3A4, and for antidepressants, CYP2B6, CYP2D6, and CYP2C19. The study will focus on describing the role of each gene, presenting the variants that cause functional changes, and discussing the implications for prescriptions in clinical practice.
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Affiliation(s)
- Antoine Baldacci
- Department of Psychiatry, Bégin Army Instruction Hospital, 94160 Saint-Mandé, France; (A.B.)
| | - Emeric Saguin
- Department of Psychiatry, Bégin Army Instruction Hospital, 94160 Saint-Mandé, France; (A.B.)
| | | | - Stéphane Mouchabac
- Department of Psychiatry, Saint-Antoine Hospital, Sorbonne University, 75012 Paris, France; (S.M.); (F.F.)
- ICRIN—Psychiatry (Infrastructure of Clinical Research in Neurosciences—Psychiatry), Brain Institute (ICM), Sorbonne Université, INSERM, CNRS, 75013 Paris, France
| | - Florian Ferreri
- Department of Psychiatry, Saint-Antoine Hospital, Sorbonne University, 75012 Paris, France; (S.M.); (F.F.)
- ICRIN—Psychiatry (Infrastructure of Clinical Research in Neurosciences—Psychiatry), Brain Institute (ICM), Sorbonne Université, INSERM, CNRS, 75013 Paris, France
| | - Raphael Gaillard
- Department of Psychiatry, Pôle Hospitalo-Universitaire, GHU Paris Psychiatrie & Neurosciences, 75014 Paris, France;
| | | | - Hervé Delacour
- Ecole du Val-de-Grâce, Army Health Service, 75005 Paris, France; (M.-D.C.); (H.D.)
- Biological Unit, Bégin Army Instruction Hospital, 94160 Saint-Mandé, France
| | - Alexis Bourla
- Department of Psychiatry, Saint-Antoine Hospital, Sorbonne University, 75012 Paris, France; (S.M.); (F.F.)
- ICRIN—Psychiatry (Infrastructure of Clinical Research in Neurosciences—Psychiatry), Brain Institute (ICM), Sorbonne Université, INSERM, CNRS, 75013 Paris, France
- Clariane, Medical Strategy and Innovation Department, 75008 Paris, France
- NeuroStim Psychiatry Practice, 75005 Paris, France
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Lee M, Han JM, Lee J, Oh JY, Kim JS, Gwak HS, Choi KH. Comparison of pharmacogenomic information for drug approvals provided by the national regulatory agencies in Korea, Europe, Japan, and the United States. Front Pharmacol 2023; 14:1205624. [PMID: 37361213 PMCID: PMC10285385 DOI: 10.3389/fphar.2023.1205624] [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: 04/14/2023] [Accepted: 05/30/2023] [Indexed: 06/28/2023] Open
Abstract
Pharmacogenomics, which is defined as the study of changes in the properties of DNA and RNA associated with drug response, enables the prediction of the efficacy and adverse effects of drugs based on patients' specific genetic mutations. For the safe and effective use of drugs, it is important that pharmacogenomic information is easily accessible to clinical experts and patients. Therefore, we examined the pharmacogenomic information provided on drug labels in Korea, Europe, Japan, and the United States (US). The selection of drugs that include pharmacogenomic information was based on the drug list that includes genetic information from the Korea Ministry of Food and Drug Safety (MFDS) and US Food and Drug Administration (FDA) websites. Drug labels were retrieved from the sites of MFDS, FDA, European Medicines Agency, and Japanese Pharmaceuticals and Medical Devices Agency. Drugs were classified as per the Anatomical Therapeutic Chemical code, and the biomarkers, labeling sections, and necessity of genetic tests were determined. In total, 348 drugs were selected from 380 drugs with available pharmacogenomic information in Korea and the US after applying the inclusion and exclusion criteria. Of these drugs, 137, 324, 169, and 126 were with pharmacogenomics information in Korea, the US, Europe, and Japan, respectively. The most commonly represented drug class was antineoplastic and immunomodulating agents. Regarding the classification as per the mentioned biomarkers, the cytochrome P450 enzyme was the most frequently mentioned information, and the targeted anticancer drugs most commonly required genetic biomarker testing. The reasons for differences in drug labeling information based on country include differences in mutant alleles according to ethnicity, frequencies at which drug lists are updated, and pharmacogenomics-related guidelines. Clinical experts must continuously strive to identify and report mutations that can explain drug efficacy or side effects for safe drug use.
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Affiliation(s)
- Mijin Lee
- College of Pharmacy, Sunchon National University, Suncheon, South Korea
| | - Ji Min Han
- College of Pharmacy, Chungbuk National University, Cheongjusi, South Korea
| | - Jaeyeon Lee
- College of Pharmacy, Sunchon National University, Suncheon, South Korea
| | - Ju Young Oh
- College of Pharmacy, Sunchon National University, Suncheon, South Korea
| | - Jung Sun Kim
- College of Pharmacy and Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, South Korea
| | - Hye Sun Gwak
- College of Pharmacy and Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, South Korea
| | - Kyung Hee Choi
- College of Pharmacy, Gachon University, Incheon, South Korea
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Biswas M, Jinda P, Sukasem C. Pharmacogenomics in Asians: Differences and similarities with other human populations. Expert Opin Drug Metab Toxicol 2023; 19:27-41. [PMID: 36755439 DOI: 10.1080/17425255.2023.2178895] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 02/07/2023] [Indexed: 02/10/2023]
Abstract
INTRODUCTION Various pharmacogenomic (PGx) variants differ widely in different ethnicities. and clinical outcomes associated with these variants may also be substantially varied. Literature was searched in different databases, i.e. PubMed, ScienceDirect, Web of Science, and PharmGKB, from inception to 30 June 2022 for this review. AREAS COVERED Certain PGx variants were distinctly varied in Asian populations compared to the other human populations, e.g. CYP2C19*2,*3,*17; CYP2C9*2,*3; CYP2D6*4,*5,*10,*41; UGT1A1*6,*28; HLA-B*15:02, HLA-B*15:21, HLA-B*58:01, and HLA-A*31:01. However, certain other variants do not vary greatly between Asian and other ethnicities, e.g. CYP3A5*3; ABCB1, and SLCO1B1*5. As evident in this review, the risk of major adverse cardiovascular events (MACE) was much stronger in Asian patients taking clopidogrel and who inherited the CYP2C19 loss-of-function alleles, e.g. CYP2C19*2 and*3, when compared to the western/Caucasian patients. Additionally, the risk of carbamazepine-induced severe cutaneous adverse drug reactions (SCARs) for the patients inheriting HLA-B*15:02 and HLA-B*15:21 alleles varied significantly between Asian and other ethnicities. In contrast, both Caucasian and Asian patients inheriting the SLCO1B1*5 variant possessed a similar magnitude of muscle toxicity, i.e. myopathy. EXPERT OPINION Asian countries should take measures toward expanding PGx research, as well as initiatives for the purposes of obtaining clinical benefits from this newly evolving and economically viable treatment model.
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Affiliation(s)
- Mohitosh Biswas
- Department of Pharmacy, University of Rajshahi, 6205, Rajshahi, Bangladesh
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 10400, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, 10400, Bangkok, Thailand
| | - Pimonpan Jinda
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 10400, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, 10400, Bangkok, Thailand
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 10400, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, 10400, Bangkok, Thailand
- Pharmacogenomics and Precision Medicine Clinic, Bumrungrad Genomic Medicine Institute (BGMI), Bumrungrad International Hospital, 10110, Bangkok, Thailand
- MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, L69 3GL, Liverpool, UK
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Płaza O, Gałecki P, Orzechowska A, Gałecka M, Sobolewska-Nowak J, Szulc A. Pharmacogenetics and Schizophrenia-Can Genomics Improve the Treatment with Second-Generation Antipsychotics? Biomedicines 2022; 10:biomedicines10123165. [PMID: 36551925 PMCID: PMC9775397 DOI: 10.3390/biomedicines10123165] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/19/2022] [Accepted: 12/02/2022] [Indexed: 12/13/2022] Open
Abstract
Schizophrenia (SCZ) is a complex psychiatric disorder of multifactorial origin, in which both genetic and environmental factors have an impact on its onset, course, and outcome. Large variability in response and tolerability of medication among individuals makes it difficult to predict the efficacy of a chosen therapeutic method and create universal and precise guidelines for treatment. Pharmacogenetic research allows for the identification of genetic polymorphisms associated with response to a chosen antipsychotic, thus allowing for a more effective and personal approach to treatment. This review focuses on three frequently prescribed second-generation antipsychotics (SGAs), risperidone, olanzapine, and aripiprazole, and aims to analyze the current state and future perspectives in research dedicated to identifying genetic factors associated with antipsychotic response. Multiple alleles of genes involved in pharmacokinetics (particularly isoenzymes of cytochrome P450), as well as variants of genes involved in dopamine, serotonin, and glutamate neurotransmission, have already been identified as ones of significant impact on antipsychotic response. It must, however, be noted that although currently obtained results are promising, trials with bigger study groups and unified protocols are crucial for standardizing methods and determining objective antipsychotic response status.
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Affiliation(s)
- Olga Płaza
- Department of Psychiatry, Faculty of Health Sciences, Medical University of Warsaw, Partyzantów 2/4, 05-800 Pruszków, Poland
- Correspondence:
| | - Piotr Gałecki
- Department of Adult Psychiatry, Medical University of Łódź, Aleksandrowska 159, 91-229 Łódź, Poland
| | - Agata Orzechowska
- Department of Adult Psychiatry, Medical University of Łódź, Aleksandrowska 159, 91-229 Łódź, Poland
| | - Małgorzata Gałecka
- Department of Psychotherapy, Medical University of Łódź, Aleksandrowska 159, 91-229 Łódź, Poland
| | - Justyna Sobolewska-Nowak
- Department of Adult Psychiatry, Medical University of Łódź, Aleksandrowska 159, 91-229 Łódź, Poland
| | - Agata Szulc
- Department of Psychiatry, Faculty of Health Sciences, Medical University of Warsaw, Partyzantów 2/4, 05-800 Pruszków, Poland
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11
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Jukic M, Milosavljević F, Molden E, Ingelman-Sundberg M. Pharmacogenomics in treatment of depression and psychosis: an update. Trends Pharmacol Sci 2022; 43:1055-1069. [PMID: 36307251 DOI: 10.1016/j.tips.2022.09.011] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 09/28/2022] [Accepted: 09/29/2022] [Indexed: 11/11/2022]
Abstract
Genetic factors can, to a certain extent, successfully predict the therapeutic effects, metabolism, and adverse reactions of drugs. This research field, pharmacogenomics, is well developed in oncology and is currently expanding in psychiatry. Here, we summarize the latest development in pharmacogenomic psychiatry, where results of several recent large studies indicate a true benefit and cost-effectiveness of pre-emptive genotyping for more successful psychotherapy. However, it is apparent that we still lack knowledge of many additional heritable genetic factors of importance for explanation of the interindividual differences in response to psychiatric drugs. Thus, more effort to further develop pharmacogenomic psychiatry should be invested to achieve a broader clinical implementation.
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Affiliation(s)
- Marin Jukic
- Pharmacogenetics Section, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden; Department of Physiology, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia
| | - Filip Milosavljević
- Department of Physiology, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia
| | - Espen Molden
- Center for Psychopharmacology, Diakonhjemmet Hospital, Oslo, Norway; Section for Pharmacology and Pharmaceutical Biosciences, Department of Pharmacy, University of Oslo, Oslo, Norway
| | - Magnus Ingelman-Sundberg
- Pharmacogenetics Section, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
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12
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Nie X, Jia T, Hu X, Li S, Zhang X, Wu C, Zhang Y, Chen J, Shi L, Lu CY. Clinical Pharmacists' Knowledge of and Attitudes toward Pharmacogenomic Testing in China. J Pers Med 2022; 12:1348. [PMID: 36013297 PMCID: PMC9410027 DOI: 10.3390/jpm12081348] [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: 06/20/2022] [Revised: 08/09/2022] [Accepted: 08/18/2022] [Indexed: 11/22/2022] Open
Abstract
(1) Background: Uptake of pharmacogenomic testing in routine clinical practices is currently slow in China. Pharmacists might play an important role in leveraging care through applying pharmacogenomics, therefore, it is important to better understand clinical pharmacists' knowledge of and attitudes toward pharmacogenomic testing, which has not been well-studied. (2) Methods: A self-administered survey was developed based on previous knowledge of pharmacogenomic testing and its uptake in China. Participants were recruited through the Committee of Pharmaceutical Affairs Management under the Chinese Hospital Association. (3) Results: A total of 1005 clinical pharmacists completed the questionnaire, among whom 996 (99.10%) had heard of pharmacogenomic testing before participation. More than half of respondents (60.0%, n = 597) rated their knowledge of pharmacogenomic testing as "average", while 25% rated it "good" or "excellent". "Guidelines, consensus and treatment paths for disease diagnosis and treatment" (78.7%) were the most preferred sources of information about pharmacogenomic testing. Most respondents (77.0%) believed that pharmacogenomics could "help to improve efficacy and reduce the incidence of adverse reactions". Our participants also believed that patients would benefit most from pharmacogenomic testing through better prediction of individual drug responses and thus informed treatment decisions. The top challenge for the uptake of pharmacogenomic testing was its high cost or lack of insurance coverage (76.7%). (4) Conclusions: Most Chinese clinical pharmacists who participated in our study had a positive attitude toward pharmacogenomic testing, while the knowledge of pharmacogenomic testing was generally self-assessed as average.
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Affiliation(s)
- Xiaoyan Nie
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
- International Research Center for Medicinal Administration, Peking University, Beijing 100191, China
| | - Tong Jia
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Xiaowen Hu
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Sicong Li
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Xinyi Zhang
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Caiying Wu
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Yuqing Zhang
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Jing Chen
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
- International Research Center for Medicinal Administration, Peking University, Beijing 100191, China
| | - Luwen Shi
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
- International Research Center for Medicinal Administration, Peking University, Beijing 100191, China
| | - Christine Y. Lu
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
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13
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Baldacci A, Saguin E, Annette S, Lahutte B, Colas MD, Delacour H. Pharmacogénétique des cytochromes appliquée à la prescription des antidépresseurs : mode d’emploi. Encephale 2022; 48:462-471. [DOI: 10.1016/j.encep.2021.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 12/14/2021] [Accepted: 12/21/2021] [Indexed: 11/29/2022]
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14
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Pritchard D, Patel JN, Stephens L, Mc Leod HL. Comparison of FDA Table of Pharmacogenetic Associations and Clinical Pharmacogenetics Implementation Consortium guidelines. Am J Health Syst Pharm 2022; 79:993-1005. [PMID: 35230418 PMCID: PMC9171570 DOI: 10.1093/ajhp/zxac064] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Purpose Healthcare professionals need a clear understanding of information about gene-drug interactions in order to make optimal use of pharmacogenetic (PGx) testing. In this report, we compare PGx information in the US Food and Drug Administration (FDA) Table of Pharmacogenetic Associations with information presented in Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines. Summary Information from CPIC guidelines and the FDA Table of Pharmacogenetic Associations do not have a high level of concordance. Many drugs mentioned in CPIC guidelines are not listed in the FDA table and vice versa, and the same gene-drug association and dosing recommendation was reported for only 5 of the 126 drugs included in either source. Furthermore, classification of drugs in specific sections of the FDA table does not correlate well with CPIC-assigned or provisionally assigned clinical actionability levels. The Pharmacogenomics Knowledge Base (PharmGKB) clinical annotation levels are generally high for drugs mentioned in CPIC guidelines. PharmGKB clinical annotation levels are often unassigned or are lower level for drugs listed on the FDA table but not in CPIC guidelines. These differences may be due in part to FDA having access to PGx information that is unavailable in published literature and/or because PGx classifications are based on criteria other than clinical actionability. Conclusion There are important differences between the PGx information presented in the FDA Table of Pharmacogenetic Associations and in CPIC guidelines. FDA and CPIC have different perspectives when evaluating PGx associations and use different approaches and information resources when considering clinical validity related to specific medicines. Understanding how information sources developed by each group differ and can be used together to form a holistic view of PGx may be helpful in increasing adoption of these information sources in practice.
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Affiliation(s)
| | - Jai N Patel
- Department of Cancer Pharmacology and Pharmacogenomics, Levine Cancer Institute, Atrium Health, Charlotte, NC, USA
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15
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Stewart AGA, Zimmerman PA, McCarthy JS. Genetic Variation of G6PD and CYP2D6: Clinical Implications on the Use of Primaquine for Elimination of Plasmodium vivax. Front Pharmacol 2021; 12:784909. [PMID: 34899347 PMCID: PMC8661410 DOI: 10.3389/fphar.2021.784909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 11/05/2021] [Indexed: 12/03/2022] Open
Abstract
Primaquine, an 8-aminoquinoline, is the only medication approved by the World Health Organization to treat the hypnozoite stage of Plasmodium vivax and P. ovale malaria. Relapse, triggered by activation of dormant hypnozoites in the liver, can occur weeks to years after primary infection, and provides the predominant source of transmission in endemic settings. Hence, primaquine is essential for individual treatment and P. vivax elimination efforts. However, primaquine use is limited by the risk of life-threatening acute hemolytic anemia in glucose-6-phosphate dehydrogenase (G6PD) deficient individuals. More recently, studies have demonstrated decreased efficacy of primaquine due to cytochrome P450 2D6 (CYP2D6) polymorphisms conferring an impaired metabolizer phenotype. Failure of standard primaquine therapy has occurred in individuals with decreased or absent CYP2D6 activity. Both G6PD and CYP2D6 are highly polymorphic genes, with considerable geographic and interethnic variability, adding complexity to primaquine use. Innovative strategies are required to overcome the dual challenge of G6PD deficiency and impaired primaquine metabolism. Further understanding of the pharmacogenetics of primaquine is key to utilizing its full potential. Accurate CYP2D6 genotype-phenotype translation may optimize primaquine dosing strategies for impaired metabolizers and expand its use in a safe, efficacious manner. At an individual level the current challenges with G6PD diagnostics and CYP2D6 testing limit clinical implementation of pharmacogenetics. However, further characterisation of the overlap and spectrum of G6PD and CYP2D6 activity may optimize primaquine use at a population level and facilitate region-specific dosing strategies for mass drug administration. This precision public health approach merits further investigation for P. vivax elimination.
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Affiliation(s)
| | - Peter A Zimmerman
- The Center for Global Health and Diseases, Case Western Reserve University, Cleveland, OH, United States
| | - James S McCarthy
- Victorian Infectious Diseases Service, Royal Melbourne Hospital, Melbourne, VIC, Australia.,Peter Doherty Institute of Infection and Immunity, Melbourne, VIC, Australia
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16
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Liu M, Van Driest SL, Vnencak-Jones CL, Saucier LAG, Roland BP, Gatto CL, Just SL, Weitkamp AO, Peterson JF. Impact of Updating Pharmacogenetic Results: Lessons Learned from the PREDICT Program. J Pers Med 2021; 11:jpm11111051. [PMID: 34834403 PMCID: PMC8617828 DOI: 10.3390/jpm11111051] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/09/2021] [Accepted: 10/13/2021] [Indexed: 12/26/2022] Open
Abstract
Pharmacogenomic (PGx) evidence for selective serotonin reuptake inhibitors (SSRIs) continues to evolve. For sites offering testing, maintaining up-to-date interpretations and implementing new clinical decision support (CDS) driven by existing results creates practical and technical challenges. Vanderbilt University Medical Center initiated panel testing in 2010, added CYP2D6 testing in 2017, and released CDS for SSRIs in 2020. We systematically reinterpreted historic CYP2C19 and CYP2D6 genotypes to update phenotypes to current nomenclature and to launch provider CDS and patient-oriented content for SSRIs. Chart review was conducted to identify and recontact providers caring for patients with current SSRI therapy and new actionable recommendations. A total of 15,619 patients’ PGx results were reprocessed. Of the non-deceased patients reprocessed, 21% (n = 3278) resulted in CYP2C19*1/*17 reinterpretations. Among 289 patients with an actionable recommendation and SSRI medication prescription, 31.8% (n = 92) did not necessitate contact of a clinician, while 43.2% (n = 125) resulted in clinician contacted, and for 25% (n = 72) no appropriate clinician was able to be identified. Maintenance of up-to-date interpretations and recommendations for PGx results over the lifetime of a patient requires continuous effort. Reprocessing is a key strategy for maintenance and expansion of PGx content to be periodically considered and implemented.
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Affiliation(s)
- Michelle Liu
- Department of Pharmacy, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Correspondence:
| | - Sara L. Van Driest
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA; (S.L.V.D.); (J.F.P.)
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA;
| | - Cindy L. Vnencak-Jones
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA;
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Leigh Ann G. Saucier
- Vanderbilt Institute for Clinical & Translational Research, Vanderbilt University Medical Center, Nashville, TN 37232, USA; (L.A.G.S.); (B.P.R.); (C.L.G.)
| | - Bartholomew P. Roland
- Vanderbilt Institute for Clinical & Translational Research, Vanderbilt University Medical Center, Nashville, TN 37232, USA; (L.A.G.S.); (B.P.R.); (C.L.G.)
| | - Cheryl L. Gatto
- Vanderbilt Institute for Clinical & Translational Research, Vanderbilt University Medical Center, Nashville, TN 37232, USA; (L.A.G.S.); (B.P.R.); (C.L.G.)
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Shari L. Just
- Health IT Decision Support and Knowledge Engineering, Vanderbilt University Medical Center, Nashville, TN 37232, USA;
| | - Asli O. Weitkamp
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA;
| | - Josh F. Peterson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA; (S.L.V.D.); (J.F.P.)
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA;
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17
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Zampatti S, Fabrizio C, Ragazzo M, Campoli G, Caputo V, Strafella C, Pellicano C, Cascella R, Spalletta G, Petrosini L, Caltagirone C, Termine A, Giardina E. Precision Medicine into Clinical Practice: A Web-Based Tool Enables Real-Time Pharmacogenetic Assessment of Tailored Treatments in Psychiatric Disorders. J Pers Med 2021; 11:jpm11090851. [PMID: 34575628 PMCID: PMC8471120 DOI: 10.3390/jpm11090851] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 08/24/2021] [Accepted: 08/24/2021] [Indexed: 12/16/2022] Open
Abstract
The management of neuropsychiatric disorders involves different pharmacological treatments. In order to perform efficacious drug treatments, the metabolism of CYP genes can help to foresee potential drug–drug interactions. The NeuroPGx software is an open-source web-based tool for genotype/diplotype/phenotype interpretation for neuropharmacogenomic purposes. The software provides information about: (i) the genotypes of evaluated SNPs (single nucleotide polymorphisms); (ii) the main diplotypes in CYP genes and corresponding metabolization phenotypes; (iii) the list of neuropsychiatric drugs with recommended dosage adjustment (according to CPIC and DPWG guidelines); (iv) the list of possible (rare) diplotypes and corresponding metabolization phenotypes. The combined application of NeuroPGx software to the OpenArray technology results in an easy, quick, and highly automated device ready to be used in routine clinical practice.
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Affiliation(s)
- Stefania Zampatti
- Genomic Medicine Laboratory UILDM, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy; (S.Z.); (C.F.); (G.C.); (C.S.); (R.C.); (A.T.)
| | - Carlo Fabrizio
- Genomic Medicine Laboratory UILDM, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy; (S.Z.); (C.F.); (G.C.); (C.S.); (R.C.); (A.T.)
| | - Michele Ragazzo
- Department of Biomedicine and Prevention, Tor Vergata University of Rome, 00133 Rome, Italy; (M.R.); (V.C.)
| | - Giulia Campoli
- Genomic Medicine Laboratory UILDM, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy; (S.Z.); (C.F.); (G.C.); (C.S.); (R.C.); (A.T.)
| | - Valerio Caputo
- Department of Biomedicine and Prevention, Tor Vergata University of Rome, 00133 Rome, Italy; (M.R.); (V.C.)
| | - Claudia Strafella
- Genomic Medicine Laboratory UILDM, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy; (S.Z.); (C.F.); (G.C.); (C.S.); (R.C.); (A.T.)
| | - Clelia Pellicano
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (C.P.); (G.S.)
| | - Raffaella Cascella
- Genomic Medicine Laboratory UILDM, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy; (S.Z.); (C.F.); (G.C.); (C.S.); (R.C.); (A.T.)
- Department of Biomedical Sciences, Catholic University Our Lady of Good Counsel, 1000 Tirana, Albania
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (C.P.); (G.S.)
| | - Laura Petrosini
- Department of Experimental Neuroscience, IRCCS Fondazione Santa Lucia, 00143 Rome, Italy;
| | - Carlo Caltagirone
- Department of Clinical and Behavioral Neurology, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy;
| | - Andrea Termine
- Genomic Medicine Laboratory UILDM, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy; (S.Z.); (C.F.); (G.C.); (C.S.); (R.C.); (A.T.)
| | - Emiliano Giardina
- Genomic Medicine Laboratory UILDM, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy; (S.Z.); (C.F.); (G.C.); (C.S.); (R.C.); (A.T.)
- Department of Biomedicine and Prevention, Tor Vergata University of Rome, 00133 Rome, Italy; (M.R.); (V.C.)
- Correspondence:
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18
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Bothos E, Ntoumou E, Kelaidoni K, Roukas D, Drakoulis N, Papasavva M, Karakostis FA, Moulos P, Karakostis K. Clinical pharmacogenomics in action: design, assessment and implementation of a novel pharmacogenetic panel supporting drug selection for diseases of the central nervous system (CNS). J Transl Med 2021; 19:151. [PMID: 33858454 PMCID: PMC8048316 DOI: 10.1186/s12967-021-02816-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 04/02/2021] [Indexed: 12/18/2022] Open
Abstract
Background Pharmacogenomics describes the link between gene variations (polymorphisms) and drug responses. In view of the implementation of precision medicine in personalized healthcare, pharmacogenetic tests have recently been introduced in the clinical practice. However, the translational aspects of such tests have been limited due to the lack of robust population-based evidence. Materials In this paper we present a novel pharmacogenetic panel (iDNA Genomics-PGx–CNS or PGx–CNS), consisting of 24 single nucleotide polymorphisms (SNPs) on 13 genes involved in the signaling or/and the metabolism of 28 approved drugs currently administered to treat diseases of the Central Nervous System (CNS). We have tested the PGx–CNS panel on 501 patient-derived DNA samples from a southeastern European population and applied biostatistical analyses on the pharmacogenetic associations involving drug selection, dosing and the risk of adverse drug events (ADEs). Results Results reveal the occurrences of each SNP in the sample and a strong correlation with the European population. Nonlinear principal component analysis strongly indicates co-occurrences of certain variants. The metabolization efficiency (poor, intermediate, extensive, ultra-rapid) and the frequency of clinical useful pharmacogenetic, associations in the population (drug relevance), are also described, along with four exemplar clinical cases illustrating the strong potential of the PGx–CNS panel, as a companion diagnostic assay. It is noted that pharmacogenetic associations involving copy number variations (CNVs) or the HLA gene were not included in this analysis. Conclusions Overall, results illustrate that the PGx–CNS panel is a valuable tool supporting therapeutic medical decisions, urging its broad clinical implementation. Supplementary Information The online version contains supplementary material available at 10.1186/s12967-021-02816-3.
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Affiliation(s)
- E Bothos
- HybridStat Predictive Analytics, Athens, Greece.,Institute of Communications and Computer Systems, National Technical University of Athens, Athens, Greece
| | - E Ntoumou
- iDNA Genomics Private Company, Evrota 25, Kifissia, 145 64, Athens, Greece
| | - K Kelaidoni
- iDNA Genomics Private Company, Evrota 25, Kifissia, 145 64, Athens, Greece
| | - D Roukas
- Department of Psychiatry, Army Hospital (NIMTS), 417 Veterans, 115 21, Athens, Greece
| | - N Drakoulis
- Research Group of Clinical Pharmacology and Pharmacogenomics, Faculty of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Panepistimiopolis, 15771, Zografou, Greece
| | - M Papasavva
- Research Group of Clinical Pharmacology and Pharmacogenomics, Faculty of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Panepistimiopolis, 15771, Zografou, Greece
| | - F A Karakostis
- Paleoanthropology, Senckenberg Centre for Human Evolution and Palaeoenvironment, Department of Geosciences, University of Tübingen, Tübingen, Germany
| | - P Moulos
- HybridStat Predictive Analytics, Athens, Greece.,Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center 'Alexander Fleming', 34 Fleming str, 16672, Athens, Vari, Greece
| | - K Karakostis
- iDNA Genomics Private Company, Evrota 25, Kifissia, 145 64, Athens, Greece.
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19
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Yamazaki S. A retrospective analysis of actionable pharmacogenetic/genomic biomarker language in FDA labels. Clin Transl Sci 2021; 14:1412-1422. [PMID: 33742770 PMCID: PMC8301579 DOI: 10.1111/cts.13000] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 01/25/2021] [Indexed: 12/17/2022] Open
Abstract
The primary goal of precision medicine is to maximize the benefit‐risk relationships for individual patients by delivering the right drug to the right patients at the right dose. To achieve this goal, it has become increasingly important to assess gene‐drug interactions (GDIs) in clinical settings. The US Food and Drug Administration (FDA) periodically updates the table of pharmacogenetic/genomic (PGx) biomarkers in drug labeling on their website. As described herein, an effort was made to categorize various PGx biomarkers covered by the FDA‐PGx table into certain groups. There were 2 major groups, oncology molecular targets (OMT) and drug‐metabolizing enzymes and transporters (DMETs), which constitute ~70% of all biomarkers (~33% and ~35%, respectively). These biomarkers were further classified whether their labeling languages could be actionable in clinical practice. For OMT biomarkers, ~70% of biomarkers are considered actionable in clinical practice as they are critical for the selection of appropriate drugs to individual patients. In contrast, ~30% of DMET biomarkers are considered actionable for the dose adjustments or alternative therapies in specific populations, such as CYP2C19 and CYP2D6 poor metabolizers. In addition, the GDI results related to some of the other OMT and DMET biomarkers are considered to provide valuable information to clinicians. However, clinical GDI results on the other DMET biomarkers can possibly be used more effectively for dose recommendation. As the labels of some drugs already recommend the precise doses in specific populations, it will be desirable to have clear language for dose recommendation of other (or new) drugs if appropriate.
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Affiliation(s)
- Shinji Yamazaki
- Pharmacokinetics, Dynamics & Metabolism, Pfizer Worldwide Research and Development, San Diego, California, USA
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