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Zhao L, Zhai Z, Li P. One Rare Warfarin Resistance Case and Possible Mechanism Exploration. Pharmgenomics Pers Med 2023; 16:609-615. [PMID: 37359384 PMCID: PMC10290475 DOI: 10.2147/pgpm.s404474] [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: 02/06/2023] [Accepted: 05/26/2023] [Indexed: 06/28/2023] Open
Abstract
One 59-year-old female patient with deep venous thrombosis (DVT) and pulmonary embolism (PE) was treated with 6 mg warfarin once daily as an anticoagulant. Before taking warfarin, her international normalized ratio (INR) was 0.98. Two days after warfarin treatment, her INR did not change from baseline. Due to the high severity of the PE, the patient needed to reach her target range (INR goal = 2.5, range = 2~3) rapidly, so the dose of warfarin was increased from 6 mg daily to 27 mg daily. However, the patient's INR did not improve with the dose escalation, still maintaining an INR of 0.97-0.98. We drew a blood sample half an hour before administering 27 mg warfarin and detected single nucleotide polymorphism for the following genes, which were identified to be relevant with warfarin resistance: CYP2C9 rs1799853, rs1057910, VKORC1 rs9923231, rs61742245, rs7200749, rs55894764, CYP4F2 rs2108622, and GGCX rs2592551. The trough plasma concentration of warfarin was 196.2 ng/mL after 2 days of warfarin administration with 27 mg QD, which was much lower than the therapeutic drug concentration ranges of warfarin (500-3,000 ng/mL). The genotype results demonstrate that the CYP4F2gene has rs2108622 mutation which can explain some aspect of warfarin resistance. Further investigations are necessary to fully characterize other pharmacogenomics or pharmacodynamics determinants of warfarin dose-response in Chinese.
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Affiliation(s)
- Li Zhao
- Pharmacy Department, China-Japan Friendship Hospital, Beijing, People’s Republic of China
| | - Zhenguo Zhai
- Department of Respiratory and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, People’s Republic of China
| | - Pengmei Li
- Pharmacy Department, China-Japan Friendship Hospital, Beijing, People’s Republic of China
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2
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Siemens A, Anderson SJ, Rassekh SR, Ross CJD, Carleton BC. A Systematic Review of Polygenic Models for Predicting Drug Outcomes. J Pers Med 2022; 12:jpm12091394. [PMID: 36143179 PMCID: PMC9505711 DOI: 10.3390/jpm12091394] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/21/2022] [Accepted: 08/25/2022] [Indexed: 11/16/2022] Open
Abstract
Polygenic models have emerged as promising prediction tools for the prediction of complex traits. Currently, the majority of polygenic models are developed in the context of predicting disease risk, but polygenic models may also prove useful in predicting drug outcomes. This study sought to understand how polygenic models incorporating pharmacogenetic variants are being used in the prediction of drug outcomes. A systematic review was conducted with the aim of gaining insights into the methods used to construct polygenic models, as well as their performance in drug outcome prediction. The search uncovered 89 papers that incorporated pharmacogenetic variants in the development of polygenic models. It was found that the most common polygenic models were constructed for drug dosing predictions in anticoagulant therapies (n = 27). While nearly all studies found a significant association with their polygenic model and the investigated drug outcome (93.3%), less than half (47.2%) compared the performance of the polygenic model against clinical predictors, and even fewer (40.4%) sought to validate model predictions in an independent cohort. Additionally, the heterogeneity of reported performance measures makes the comparison of models across studies challenging. These findings highlight key considerations for future work in developing polygenic models in pharmacogenomic research.
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Affiliation(s)
- Angela Siemens
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC V6H 3N1, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC V5Z 4H4, Canada
| | - Spencer J. Anderson
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC V6H 3N1, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC V5Z 4H4, Canada
| | - S. Rod Rassekh
- Division of Translational Therapeutics, Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, BC V6H 3V4, Canada
- Division of Oncology, Hematology and Bone Marrow Transplant, University of British Columbia, Vancouver, BC V6H 3V4, Canada
| | - Colin J. D. Ross
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC V6H 3N1, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC V5Z 4H4, Canada
- Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | - Bruce C. Carleton
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC V6H 3N1, Canada
- Division of Translational Therapeutics, Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, BC V6H 3V4, Canada
- Pharmaceutical Outcomes Programme, British Columbia Children’s Hospital, Vancouver, BC V5Z 4H4, Canada
- Correspondence:
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Khan AR, Shah SH, Ajaz S, Firasat S, Abid A, Raza A. The Prevalence of Pharmacogenomics Variants and Their Clinical Relevance Among the Pakistani Population. Evol Bioinform Online 2022; 18:11769343221095834. [PMID: 35497687 PMCID: PMC9047794 DOI: 10.1177/11769343221095834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 04/04/2022] [Indexed: 11/28/2022] Open
Abstract
Background: Pharmacogenomics (PGx), forming the basis of precision medicine, has
revolutionized traditional medical practice. Currently, drug responses such
as drug efficacy, drug dosage, and drug adverse reactions can be anticipated
based on the genetic makeup of the patients. The pharmacogenomic data of
Pakistani populations are limited. This study investigates the frequencies
of pharmacogenetic variants and their clinical relevance among ethnic groups
in Pakistan. Methods: The Pharmacogenomics Knowledge Base (PharmGKB) database was used to extract
pharmacogenetic variants that are involved in medical conditions with high
(1A + 1B) to moderate (2A + 2B) clinical evidence. Subsequently, the allele
frequencies of these variants were searched among multiethnic groups of
Pakistan (Balochi, Brahui, Burusho, Hazara, Kalash, Pashtun, Punjabi, and
Sindhi) using the 1000 Genomes Project (1KGP) and
ALlele FREquency
Database (ALFRED). Furthermore, the published
Pharmacogenomics literature on the Pakistani population was reviewed in
PubMed and Google Scholar. Results: Our search retrieved (n = 29) pharmacogenetic genes and their (n = 44)
variants with high to moderate evidence of clinical association. These
pharmacogenetic variants correspond to drug-metabolizing enzymes (n = 22),
drug-metabolizing transporters (n = 8), and PGx gene regulators, etc.
(n = 14). We found 5 pharmacogenetic variants present at >50% among 8
ethnic groups of Pakistan. These pharmacogenetic variants include
CYP2B6 (rs2279345, C; 70%-86%), CYP3A5
(rs776746, C; 64%-88%), FLT3 (rs1933437, T; 54%-74%),
CETP (rs1532624, A; 50%-70%), and DPP6
(rs6977820, C; 61%-86%) genes that are involved in drug response for
acquired immune deficiency syndrome, transplantation, cancer, heart disease,
and mental health therapy, respectively. Conclusions: This study highlights the frequency of important clinical pharmacogenetic
variants (1A, 1B, 2A, and 2B) among multi-ethnic Pakistani populations. The
high prevalence (>50%) of single nucleotide pharmacogenetic variants may
contribute to the drug response/diseases outcome. These PGx data could be
used as pharmacogenetic markers in the selection of appropriate therapeutic
regimens for specific ethnic groups of Pakistan.
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Affiliation(s)
- Abdul Rafay Khan
- Center for Human Genetics and Molecular Medicine, Sindh Institute of Urology and Transplantation, Karachi, Pakistan
| | - Sayed Hajan Shah
- Center for Human Genetics and Molecular Medicine, Sindh Institute of Urology and Transplantation, Karachi, Pakistan
| | - Sadia Ajaz
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Sadaf Firasat
- Center for Human Genetics and Molecular Medicine, Sindh Institute of Urology and Transplantation, Karachi, Pakistan
| | - Aiysha Abid
- Center for Human Genetics and Molecular Medicine, Sindh Institute of Urology and Transplantation, Karachi, Pakistan
| | - Ali Raza
- Center for Human Genetics and Molecular Medicine, Sindh Institute of Urology and Transplantation, Karachi, Pakistan
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Chiasson MA, Rollins NJ, Stephany JJ, Sitko KA, Matreyek KA, Verby M, Sun S, Roth FP, DeSloover D, Marks DS, Rettie AE, Fowler DM. Multiplexed measurement of variant abundance and activity reveals VKOR topology, active site and human variant impact. eLife 2020; 9:e58026. [PMID: 32870157 PMCID: PMC7462613 DOI: 10.7554/elife.58026] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 07/28/2020] [Indexed: 01/05/2023] Open
Abstract
Vitamin K epoxide reductase (VKOR) drives the vitamin K cycle, activating vitamin K-dependent blood clotting factors. VKOR is also the target of the widely used anticoagulant drug, warfarin. Despite VKOR's pivotal role in coagulation, its structure and active site remain poorly understood. In addition, VKOR variants can cause vitamin K-dependent clotting factor deficiency or alter warfarin response. Here, we used multiplexed, sequencing-based assays to measure the effects of 2,695 VKOR missense variants on abundance and 697 variants on activity in cultured human cells. The large-scale functional data, along with an evolutionary coupling analysis, supports a four transmembrane domain topology, with variants in transmembrane domains exhibiting strongly deleterious effects on abundance and activity. Functionally constrained regions of the protein define the active site, and we find that, of four conserved cysteines putatively critical for function, only three are absolutely required. Finally, 25% of human VKOR missense variants show reduced abundance or activity, possibly conferring warfarin sensitivity or causing disease.
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Affiliation(s)
- Melissa A Chiasson
- Department of Genome Sciences, University of WashingtonSeattleUnited States
| | - Nathan J Rollins
- Department of Systems Biology, Harvard Medical SchoolBostonUnited States
| | - Jason J Stephany
- Department of Genome Sciences, University of WashingtonSeattleUnited States
| | - Katherine A Sitko
- Department of Genome Sciences, University of WashingtonSeattleUnited States
| | - Kenneth A Matreyek
- Department of Genome Sciences, University of WashingtonSeattleUnited States
| | - Marta Verby
- Donnelly Centre and Departments of Molecular Genetics and Computer Science, University of Toronto, and Lunenfeld-Tanenbaum Research Institute, Sinai Health SystemTorontoCanada
| | - Song Sun
- Donnelly Centre and Departments of Molecular Genetics and Computer Science, University of Toronto, and Lunenfeld-Tanenbaum Research Institute, Sinai Health SystemTorontoCanada
| | - Frederick P Roth
- Donnelly Centre and Departments of Molecular Genetics and Computer Science, University of Toronto, and Lunenfeld-Tanenbaum Research Institute, Sinai Health SystemTorontoCanada
| | | | - Debora S Marks
- Department of Systems Biology, Harvard Medical SchoolBostonUnited States
| | - Allan E Rettie
- Department of Medicinal Chemistry, University of WashingtonSeattleUnited States
| | - Douglas M Fowler
- Department of Genome Sciences, University of WashingtonSeattleUnited States
- Department of Bioengineering, University of WashingtonSeattleUnited States
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Pratt VM, Cavallari LH, Del Tredici AL, Hachad H, Ji Y, Kalman LV, Ly RC, Moyer AM, Scott SA, Whirl-Carrillo M, Weck KE. Recommendations for Clinical Warfarin Genotyping Allele Selection: A Report of the Association for Molecular Pathology and the College of American Pathologists. J Mol Diagn 2020; 22:847-859. [PMID: 32380173 DOI: 10.1016/j.jmoldx.2020.04.204] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Revised: 03/18/2020] [Accepted: 04/01/2020] [Indexed: 11/19/2022] Open
Abstract
The goal of the Association for Molecular Pathology (AMP) Clinical Practice Committee's AMP Pharmacogenomics (PGx) Working Group is to define the key attributes of PGx alleles recommended for clinical testing and a minimum set of variants that should be included in clinical PGx genotyping assays. This document series provides recommendations for a minimum panel of variant alleles (tier 1) and an extended panel of variant alleles (tier 2) that will aid clinical laboratories when designing assays for PGx testing. The AMP PGx Working Group considered functional impact of the variants, allele frequencies in multiethnic populations, the availability of reference materials, as well as other technical considerations for PGx testing when developing these recommendations. The ultimate goal is to promote standardization of PGx gene/allele testing across clinical laboratories. These recommendations are not to be interpreted as prescriptive but to provide a reference guide. Of note, a separate article with recommendations for CYP2C9 allele selection was previously developed by the PGx Working Group that can be applied broadly to CYP2C9-related medications. The warfarin allele recommendations in this report incorporate the previous CYP2C9 allele recommendations and additional genes and alleles that are specific to warfarin testing.
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Affiliation(s)
- Victoria M Pratt
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.
| | - Larisa H Cavallari
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida
| | - Andria L Del Tredici
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Millennium Health, LLC, San Diego, California
| | - Houda Hachad
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Translational Software, Bellevue, Washington
| | - Yuan Ji
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Pathology and ARUP Laboratories, University of Utah School of Medicine, Salt Lake City, Utah
| | - Lisa V Kalman
- Division of Laboratory Systems, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Reynold C Ly
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Ann M Moyer
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Stuart A Scott
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Sema4, a Mount Sinai venture, Stamford, Connecticut
| | - Michelle Whirl-Carrillo
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Biomedical Data Science, Stanford University, Stanford, California
| | - Karen E Weck
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Departments of Pathology and Laboratory Medicine and Genetics, University of North Carolina, Chapel Hill, North Carolina
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Al-Mahayri ZN, Al Jaibeji HS, Saab Y, Soliman K, Al-Gazali L, Patrinos GP, Ali BR. VKORC1 variants as significant predictors of warfarin dose in Emiratis. Pharmgenomics Pers Med 2019; 12:47-57. [PMID: 31114289 PMCID: PMC6489578 DOI: 10.2147/pgpm.s187350] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Accepted: 12/22/2018] [Indexed: 02/05/2023] Open
Abstract
Purpose: Variability in response to warfarin is one of the main obstacles challenging its use in clinical practice. Vitamin K epoxide reductase complex (VKORC) is the target enzyme of warfarin, and variations in the form of single nucleotide polymorphisms (SNPs) in VKORC1, coding for this enzyme, are known to cause resistance to warfarin treatment. This study aimed to explore VKORC1 variants in Emirati patients receiving warfarin treatment and to correlate their genotypes at the studied SNPs to their maintenance warfarin dose. Patients and methods: Sanger sequencing of the majority of the VKORC1 gene was applied to samples from 90 patients and 117 normal individuals recruited from Tawam Hospital, Al-Ain, UAE. Genotypes at the following variants were determined (rs9923231, rs188009042, rs61742245, rs17708472, rs9934438, rs8050894, rs2359612, rs7294). Statistical analysis was applied, including ANOVA, cross-tabulation, and multiple linear regression analysis, to determine the ability of nongenetic factors (age and gender) and genetic factors (VKORC1 genotypes) to explain variability in warfarin dose in patients. Results: Different frequencies of minor alleles were detected in the selected SNPs. Significant variation among genotypes at six VKORC1 variants were identified (rs9923231, rs9934438, rs8050894, rs2359612, rs7294). The main predictors for warfarin dose were rs9923231, age, and rs61742245 with 50.7% of the average warfarin dose in our sample could be explained by a regression model built on these three factors. Conclusion: This is the first report of the explanatory power of VKORC1 genotypes and nongenetic factors (age and gender) on warfarin dose among Emiratis. Also, this study highlighted the positive effect of considering rare pharmacogenomic variants on explaining warfarin dose variability.
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Affiliation(s)
- Zeina N Al-Mahayri
- Department of Pathology, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
| | - Hayat S Al Jaibeji
- Sharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Yolande Saab
- School of Pharmacy, Lebanese American University, Byblos, Lebanon
| | - Karem Soliman
- INR Clinic, Tawam Hospital, Al-Ain, United Arab Emirates
| | - Lihadh Al-Gazali
- Department of Pediatrics, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
| | - George P Patrinos
- Department of Pathology, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates.,Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece.,Zayed Center for Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
| | - Bassam R Ali
- Department of Pathology, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates.,Zayed Center for Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
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7
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Qayyum A, Najmi MH, Mansoor Q, Irfan M, Naveed AK, Hanif A, Kazmi AR, Ismail M. Frequency of Common VKORC1 Polymorphisms and Their Impact on Warfarin Dose Requirement in Pakistani Population. Clin Appl Thromb Hemost 2016; 24:323-329. [PMID: 27879469 DOI: 10.1177/1076029616680478] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Polymorphisms in vitamin K epoxide reductase complex subunit 1 (VKORC1) gene lead to interindividual variability in warfarin dose requirement. The characterization of genotype frequency distribution is required in different populations for construction of customized dosing algorithms to enhance the efficacy and reduce the toxicity of warfarin therapy. This study was carried out in Pakistani population to evaluate the contribution of common VKORC1 polymorphisms to warfarin therapy. A total of 550 stable patients taking warfarin were enrolled after medical history, physical examination, and laboratory investigations. Single blood sample was collected after informed consent. Genomic DNA was extracted and genotype analysis for VKORC1 1173C>T and VKORC1-1639G>A polymorphisms was done by polymerase chain reaction-restriction fragment length polymorphism assay. A number of samples were also analyzed by direct DNA sequencing for validation of results. Data were analyzed using SPSS version 20. Genotype frequency distributions of VKORC1 1173C>T and VKORC1-1639G>A were found to be different from other populations. Both of these polymorphisms did not demonstrate significant effect on warfarin dose requirement. Although Cytochrome P450 2C9 (CYP2C9) and VKORC1 polymorphisms together attributed only 3.8% variability in warfarin dose but it was statistically significant ( p value = .004). It is concluded that there is a need to study genotype frequency distribution and their effect on warfarin dose variability among different populations due to diversity in outcome. At the same time, no effect on warfarin dose variation explained by VKORC1 polymorphisms and small variability explained by studied genotypes stresses the need for exploration of more genetic and nongenetic factors in Pakistani population.
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Affiliation(s)
- Aisha Qayyum
- 1 Department of Pharmacology, Fazaia Medical College, Air University, Islamabad, Pakistan
| | - Muzammil Hasan Najmi
- 2 Department of Pharmacology, Foundation University Medical College, Islamabad, Pakistan
| | - Qaisar Mansoor
- 3 Institute of Biomedical and Genetic Engineering, Islamabad, Pakistan
| | - Muhammad Irfan
- 4 Department of Zoology, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan
| | - Abdul Khaliq Naveed
- 5 Department of Biochemistry, Islamic International Medical College, Riphah International University, Rawalpindi, Pakistan
| | - Andleeb Hanif
- 3 Institute of Biomedical and Genetic Engineering, Islamabad, Pakistan
| | - Ali Raza Kazmi
- 3 Institute of Biomedical and Genetic Engineering, Islamabad, Pakistan
| | - Muhammad Ismail
- 3 Institute of Biomedical and Genetic Engineering, Islamabad, Pakistan
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9
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Yang Y, Peter I, Scott SA. Pharmacogenetics in Jewish populations. ACTA ACUST UNITED AC 2015; 29:221-33. [PMID: 24867283 DOI: 10.1515/dmdi-2013-0069] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2013] [Accepted: 04/04/2014] [Indexed: 12/24/2022]
Abstract
Spanning over 2000 years, the Jewish population has a long history of migration, population bottlenecks, expansions, and geographical isolation, which has resulted in a unique genetic architecture among the Jewish people. As such, many Mendelian disease genes and founder mutations for autosomal recessive diseases have been discovered in several Jewish groups, which have prompted recent genomic studies in the Jewish population on common disease susceptibility and other complex traits. Although few studies on the genetic determinants of drug response variability have been reported in the Jewish population, a number of unique pharmacogenetic variants have been discovered that are more common in Jewish populations than in other major racial groups. Notable examples identified in the Ashkenazi Jewish (AJ) population include the vitamin K epoxide reductase complex subunit 1 (VKORC1) c.106G>T (p.D36Y) variant associated with high warfarin dosing requirements and the recently reported cytochrome P450 2C19 (CYP2C19) allele, CYP2C19*4B, that harbors both loss-of-function [*4 (c.1A>G)] and increased-function [*17 (c.-806C>T)] variants on the same haplotype. These data are encouraging in that like other ethnicities and subpopulations, the Jewish population likely harbors numerous pharmacogenetic variants that are uncommon or absent in other larger racial groups and ethnicities. In addition to unique variants, common multi-ethnic variants in key drug metabolism genes (e.g., ABCB1, CYP2C8, CYP2C9, CYP2C19, CYP2D6, NAT2) have also been detected in the AJ and other Jewish groups. This review aims to summarize the currently available pharmacogenetics literature and discuss future directions for related research with this unique population.
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Affiliation(s)
- Stavros Apostolakis
- University of Birmingham Centre for Cardiovascular Sciences, City Hospital, Birmingham, England
| | | | - Brian Olshansky
- Division of Cardiovascular Medicine, University of Iowa Hospitals and Clinics, Iowa City, IA
| | - Gregory Y H Lip
- University of Birmingham Centre for Cardiovascular Sciences, City Hospital, Birmingham, England.
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The VKORC1 Asp36Tyr variant and VKORC1 haplotype diversity in Ashkenazi and Ethiopian populations. J Appl Genet 2014; 55:163-71. [PMID: 24425227 DOI: 10.1007/s13353-013-0189-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2013] [Revised: 12/16/2013] [Accepted: 12/26/2013] [Indexed: 12/30/2022]
Abstract
The vitamin K epoxide reductase (VKORC1) is a key enzyme in the vitamin K cycle impacting various biological processes. VKORC1 genetic variability has been extensively studied in the context of warfarin pharmacogenetics revealing different distributions of VKORC1 haplotypes in various populations. We previously identified the VKORC1 Asp36Tyr mutation that was associated with warfarin resistance and with distinctive ethnic distribution. In this study, we performed haplotype analysis using Asp36Tyr and seven other VKORC1 markers in Ashkenazi and Ethiopian-Jewish and non-Jewish individuals. The VKORC1 variability was represented by nine haplotypes (V1-V9) that could be grouped into two distinct clusters (V1-V3 and V4-V9) with intra-cluster difference limited to two nucleotide changes. Phylogeny analysis suggested that these haplotypes could have developed from an ancestral variant, the common V8 haplotype (40 % in all population samples), after ten single mutation events. Asp36Tyr was exclusive to the V5 haplotype of the second cluster. Two haplotypes V5 and V4, distinguished only by Asp36Tyr, were prevalent in both Ethiopian population samples. The V2 haplotype, belonging to the first cluster, was the second most prevalent haplotype in the Ashkenazi population sample (15.8 %) but relatively uncommon in the Ethiopian origin (4.5-4.7 %). We discuss the genetic diversity among studied populations and its potential impact on warfarin-dose management in certain populations of African and European origin.
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Potpara TS, Lip GY. Novel oral anticoagulants in non-valvular atrial fibrillation. Best Pract Res Clin Haematol 2013; 26:115-29. [DOI: 10.1016/j.beha.2013.07.008] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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15
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Shahin MHA, Cavallari LH, Perera MA, Khalifa SI, Misher A, Langaee T, Patel S, Perry K, Meltzer DO, McLeod HL, Johnson JA. VKORC1 Asp36Tyr geographic distribution and its impact on warfarin dose requirements in Egyptians. Thromb Haemost 2013; 109:1045-50. [PMID: 23571513 DOI: 10.1160/th12-10-0789] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2012] [Accepted: 03/03/2013] [Indexed: 02/04/2023]
Abstract
The VKORC1 Asp36Tyr single nucleotide polymorphism (SNP) is one of the most promising predictors of high warfarin dose, but data on its population prevalence is incomplete. We determined the frequency of this SNP in participants from seven countries on four continents and investigated its effect on warfarin dose requirement. One thousand samples were analysed to define the population prevalence of this SNP. Those samples included individuals from Egypt, Ghana, Sudan, Kenya, Saudi Arabia, Peru and African Americans from the United States. A total of 206 Egyptian samples were then used to investigate the effect of this SNP on warfarin dose requirements. This SNP was most frequent among Kenyans and Sudanese, with a minor allele frequency (MAF) of 6% followed by Saudi Arabians and Egyptians with a MAF of 3% and 2.5%, respectively. It was not detected in West Africans, based on our data from Ghana, and a large cohort of African Americans. Egyptian carriers of the VKORC1 Tyr36 showed higher warfarin dose requirement (57.1 ± 29.4 mg/week) than those with the Asp36Asp genotype (35.8 ± 16.6 mg/week; p=0.03). In linear regression analysis, this SNP had the greatest effect size among the genetic factors (16.6 mg/week increase in dose per allele), and improved the warfarin dose variability explained in Egyptians (model R2 from 31% to 36.5%). The warfarin resistant VKORC1 Asp36Tyr appears to be confined to north-eastern Africa and nearby Middle-Eastern populations, but in those populations where it is present, it has a significant influence on warfarin dose requirement and the percent of warfarin dose variability that can be explained.
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Affiliation(s)
- Mohamed Hossam A Shahin
- Center for Pharmacogenomics, University of Florida, Health Science Center, PO Box 100486, Gainesville, FL 32610, USA
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Moreau C, Bajolle F, Siguret V, Loriot MA, Bonnet D. Genetic resistance to warfarin therapy masked by amiodarone in a 2-year-old girl with mitral valve replacement. J Thromb Haemost 2013; 11:555-72. [PMID: 23241284 DOI: 10.1111/jth.12105] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2012] [Accepted: 12/03/2012] [Indexed: 11/28/2022]
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Daly AK. Optimal dosing of warfarin and other coumarin anticoagulants: the role of genetic polymorphisms. Arch Toxicol 2013; 87:407-20. [PMID: 23376975 DOI: 10.1007/s00204-013-1013-9] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2012] [Accepted: 01/17/2013] [Indexed: 12/14/2022]
Abstract
Coumarin anticoagulants, which include warfarin, acenocoumarol and phenprocoumon, are among the most widely prescribed drugs worldwide. There is now a large body of published data showing that genotype for certain common polymorphisms in the genes encoding the target vitamin K epoxide reductase (G-1639A/C1173T) and the main metabolizing enzyme CYP2C9 (CYP2C9*2 and *3 alleles) are important determinants of the individual coumarin anticoagulant dose requirement. Additional less common polymorphisms in these genes together with polymorphisms in other genes relevant to blood coagulation such as the cytochrome P450 CYP4F2, gamma-glutamyl carboxylase, calumenin and cytochrome P450 oxidoreductase may also be significant predictors of dose, especially in ethnic groups such as Africans where there have been fewer genetic studies compared with European populations. Using relevant genotypes to calculate starting dose may improve safety during the initiation period. Various algorithms for dose calculation, which also take patient age and other characteristics into consideration, have been developed for all three widely used coumarin anticoagulants and are now being tested in ongoing large randomised clinical trials. One recently completed study has provided encouraging results suggesting that calculation of warfarin dose on the basis of individual patient genotype leads to few adverse events and a higher proportion of time within the therapeutic coagulation rate window, but these findings still need confirmation.
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Affiliation(s)
- Ann K Daly
- Institute of Cellular Medicine, Newcastle University Medical School, Framlington Place, Newcastle upon Tyne, NE2 4HH, UK.
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Affiliation(s)
- Gregory Y H Lip
- University of Birmingham Centre for Cardiovascular Sciences, City Hospital, Birmingham B18 7QH, UK
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