Abstract:Current challenges exist to widespread clinical implementation of genomic medicine and pharmacogenetics. The University of Florida (UF) Health Personalized Medicine Program (PMP) is a pharmacist-led, multidisciplinary initiative created in 2011 within the UF Clinical Translational Science Institute. Initial efforts focused on pharmacogenetics, with long-term goals to include expansion to disease-risk prediction and disease stratification. Herein we describe the processes for development of the program, the cha… Show more
“…Approximately 25–35% of individuals of European and African ancestry and ~ 60% of Asians carry at least one copy of no function allele [33]. CYP2C19 *3, *4, *5, *6, *7, and *8 are other less frequent no function alleles, with *3 and *8 being the most common among this group [34]. Poor metabolizers (PM), carrying two copies of CYP2C19 no function alleles make up about 2–5% of European and African individuals and 15% of Asians [35].…”
Section: Cyp2c19 Polymorphisms and Phenotypesmentioning
confidence: 99%
“…On the other hand, the identified increased function polymorphism in CYP2C19 (*17: rs12248560) contributes to enhanced clearance of drugs metabolized by CYP2C19. This is also a common polymorphism in CYP2C19 with approximately 30% of individuals of European and African ancestry [34,36] and ~ 2–4% of Asians carrying at least one copy of CYP2C19*17 [37]. Individuals with two copies of the normal function allele are classified as CYP2C19 normal metabolizer status (NM) while individuals with one normal function allele and one increased function allele (*17) are rapid metabolizers (RM).…”
Section: Cyp2c19 Polymorphisms and Phenotypesmentioning
Introduction: Proton Pump inhibitors (PPIs) are commonly used for a variety of acid related disorders. Despite the overall effectiveness and safety profile of PPIs, some patients do not respond adequately or develop treatment related adverse events. This variable response among patients is in part due to genotype variability of CYP2C19, the gene encoding the CYP450 (CYP2C19) isoenzyme responsible for PPIs metabolism.Areas covered: This article provides an overview of the pharmacokinetics and mechanism of action of the currently available PPIs, including the magnitude of CYPC19 contribution to their metabolism. Additionally, the role of CYP2C19 genetic variability in the therapeutic effectiveness or outcomes of PPI therapy is highlighted in details, to provide supporting evidence for the potential value of CYP2C19 genotype-guided approaches to PPI drug therapy.Expert opinion: There is a large body of evidence describing the impact of CYP2C19 variability on PPIs and its potential role in individualizing PPI therapy, yet, CYP2C19 pharmacogenetics has not been widely implemented into clinical practice. More data are needed but CYP2C19 genotype-guided dosing of PPIs is likely to become increasingly common and is expected to improve clinical outcomes, and minimize side effects related to PPIs.
“…Approximately 25–35% of individuals of European and African ancestry and ~ 60% of Asians carry at least one copy of no function allele [33]. CYP2C19 *3, *4, *5, *6, *7, and *8 are other less frequent no function alleles, with *3 and *8 being the most common among this group [34]. Poor metabolizers (PM), carrying two copies of CYP2C19 no function alleles make up about 2–5% of European and African individuals and 15% of Asians [35].…”
Section: Cyp2c19 Polymorphisms and Phenotypesmentioning
confidence: 99%
“…On the other hand, the identified increased function polymorphism in CYP2C19 (*17: rs12248560) contributes to enhanced clearance of drugs metabolized by CYP2C19. This is also a common polymorphism in CYP2C19 with approximately 30% of individuals of European and African ancestry [34,36] and ~ 2–4% of Asians carrying at least one copy of CYP2C19*17 [37]. Individuals with two copies of the normal function allele are classified as CYP2C19 normal metabolizer status (NM) while individuals with one normal function allele and one increased function allele (*17) are rapid metabolizers (RM).…”
Section: Cyp2c19 Polymorphisms and Phenotypesmentioning
Introduction: Proton Pump inhibitors (PPIs) are commonly used for a variety of acid related disorders. Despite the overall effectiveness and safety profile of PPIs, some patients do not respond adequately or develop treatment related adverse events. This variable response among patients is in part due to genotype variability of CYP2C19, the gene encoding the CYP450 (CYP2C19) isoenzyme responsible for PPIs metabolism.Areas covered: This article provides an overview of the pharmacokinetics and mechanism of action of the currently available PPIs, including the magnitude of CYPC19 contribution to their metabolism. Additionally, the role of CYP2C19 genetic variability in the therapeutic effectiveness or outcomes of PPI therapy is highlighted in details, to provide supporting evidence for the potential value of CYP2C19 genotype-guided approaches to PPI drug therapy.Expert opinion: There is a large body of evidence describing the impact of CYP2C19 variability on PPIs and its potential role in individualizing PPI therapy, yet, CYP2C19 pharmacogenetics has not been widely implemented into clinical practice. More data are needed but CYP2C19 genotype-guided dosing of PPIs is likely to become increasingly common and is expected to improve clinical outcomes, and minimize side effects related to PPIs.
“…In the past decade, candidate gene and genomewide association studies (GWAS) have identified specific genetic variants underlying the physiological response to highly prescribed medications, including warfarin [2][3][4][5], clopidogrel [6] and statins [7], to name a few. The appeal of personalized or precision medicine has prompted many clinics to implement genetic testing for these variants [8][9][10][11][12], often despite little [13,14] or even contrary [15] evidence regarding clinical utility. Among the consequences of this recent rise in clinical genotyping and sequencing has been the growing recognition that pharmacogenetic variants regularly display pleiotropic effects [16] incidental to the original purpose of testing [17][18][19].…”
“…[1] Nonetheless, the translation of pharmacogenomic testing into routine clinical practice has been slow due to several obstacles towards its implementation [2][3][4]. Currently, the routine use of clinical pharmacogenomics is limited to centers with resources to overcome these obstacles [5][6][7][8][9].…”
SummaryObjective: Pharmacogenomic-guided dosing has the potential to improve patient outcomes but its implementation has been met with clinical challenges. Our objective was to develop and evaluate a clinical decision support system (CDSS) for pharmacogenomic-guided warfarin dosing designed for physicians and pharmacists. Methods: Twelve physicians and pharmacists completed 6 prescribing tasks using simulated patient scenarios in two iterations (development and validation phases) of a newly developed pharmacogenomic-driven CDSS prototype. For each scenario, usability was measured via efficiency, recorded as time to task completion, and participants' perceived satisfaction which were compared using Kruskal-Wallis and Mann Whitney U tests, respectively. Debrief interviews were conducted and qualitatively analyzed. Usability findings from the first (i.e. development) iteration were incorporated into the CDSS design for the second (i.e. validation) iteration. Results: During the CDSS validation iteration, participants took more time to complete tasks with a median (IQR) of 183 (124-247) seconds versus 101 (73.5-197) seconds in the development iteration (p=0.01). This increase in time on task was due to the increase in time spent in the CDSS corresponding to several design changes. Efficiency differences that were observed between pharmacists and physicians in the development iteration were eliminated in the validation iteration. The increased use of the CDSS corresponded to a greater acceptance of CDSS recommended doses in the validation iteration (4% in the first iteration vs. 37.5% in the second iteration, p<0.001). Overall satisfaction did not change statistically between the iterations but the qualitative analysis revealed greater trust in the second prototype. Conclusions: A pharmacogenomic-guided CDSS has been developed using warfarin as the test drug. The final CDSS prototype was trusted by prescribers and significantly increased the time using the tool and acceptance of the recommended doses. This study is an important step toward incorporating pharmacogenomics into CDSS design for clinical testing.
Research ArticleBL
Background And SignificancePersonalized medicine is an emerging field with the fundamental objective to predict a patient's response in order to individualize drug therapy for improved medication effectiveness and safety. Pharmacogenomic-guided drug therapy is at the forefront of personalized medicine with over 150 United States Food and Drug Administration (FDA) approved drug labels incorporating pharmacogenomic information.[1] Nonetheless, the translation of pharmacogenomic testing into routine clinical practice has been slow due to several obstacles towards its implementation [2][3][4]. Currently, the routine use of clinical pharmacogenomics is limited to centers with resources to overcome these obstacles [5][6][7][8][9].A major obstacle in the implementation of clinical pharmacogenomics is the rapid pace that science has identified genetic polymorphisms that can predict drug response. Th...
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