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- Cooper-DeHoff, Rhonda M., et al.
(författare)
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The Clinical Pharmacogenetics Implementation Consortium Guideline for SLCO1B1, ABCG2, and CYP2C9 genotypes and Statin-Associated Musculoskeletal Symptoms
- 2022
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Ingår i: Clinical Pharmacology and Therapeutics. - : John Wiley & Sons. - 0009-9236 .- 1532-6535. ; 111:5, s. 1007-1021
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Tidskriftsartikel (refereegranskat)abstract
- Statins reduce cholesterol, prevent cardiovascular disease, and are among the most commonly prescribed medications in the world. Statin-associated musculoskeletal symptoms (SAMS) impact statin adherence and ultimately can impede the long-term effectiveness of statin therapy. There are several identified pharmacogenetic variants that impact statin disposition and adverse events during statin therapy. SLCO1B1 encodes a transporter (SLCO1B1; alternative names include OATP1B1 or OATP-C) that facilitates the hepatic uptake of all statins. ABCG2 encodes an efflux transporter (BCRP) that modulates the absorption and disposition of rosuvastatin. CYP2C9 encodes a phase I drug metabolizing enzyme responsible for the oxidation of some statins. Genetic variation in each of these genes alters systemic exposure to statins (i.e., simvastatin, rosuvastatin, pravastatin, pitavastatin, atorvastatin, fluvastatin, lovastatin), which can increase the risk for SAMS. We summarize the literature supporting these associations and provide therapeutic recommendations for statins based on SLCO1B1, ABCG2, and CYP2C9 genotype with the goal of improving the overall safety, adherence, and effectiveness of statin therapy. This document replaces the 2012 and 2014 Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines for SLCO1B1 and simvastatin-induced myopathy.
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| 2. |
- Parker, William A E, et al.
(författare)
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Equilibrative nucleoside transporter 1 gene polymorphisms and clinical outcomes following acute coronary syndromes : findings from the PLATelet inhibition and patient Outcomes (PLATO) study
- 2019
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Ingår i: Platelets. - : Informa UK Limited. - 0953-7104 .- 1369-1635. ; 30:5, s. 579-588
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Tidskriftsartikel (refereegranskat)abstract
- In the PLATelet inhibition and patient Outcomes (PLATO) study, the P2Y12 inhibitors ticagrelor and clopidogrel were compared in the treatment of acute coronary syndromes (ACS). Ticagrelor was shown to reduce occurrence of the primary end point - a composite of death from vascular causes, myocardial infarction, or stroke - compared to clopidogrel. Ticagrelor's pleiotropic effects on reuptake of adenosine via inhibition of equilibrative nucleoside transporter 1 (ENT1) have been hypothesized to contribute to this. Several polymorphisms of ENT1 are known to exist. We explored the interaction between ENT1 polymorphisms and clinical outcomes in ACS patients participating in the PLATO genetic substudy. Using genotyping data obtained in a genome-wide association study, the gene region encoding ENT1 was assessed and 94 polymorphisms were identified. After quality control filtering, data from 9943 participants were included. Subjects were divided into discovery (phase 1, n = 3970) and replication (phase 2, n = 5973) cohorts. Cox-regression analysis of the relationship between variants and seven efficacy and safety outcomes was performed in discovery, replication, and combined cohorts. Treatment-marker interactions were also determined. Although 35 variants were found with associations to the investigated outcomes reaching p < 0.05 in the discovery cohort, only one of these was replicated in phase 2 of the analysis and also reached the predetermined level of statistical significance in the combined data, taking into account the number of tests performed: the rare polymorphism rs141034817, with a frequency of 0.2%, was significantly associated with bleeding. Thirty-three treatment-marker interactions were found with a significance level of p < 0.05 in phase 1, but none was replicated in phase 2. We found no significant interaction between ENT1 genotype and clinical outcomes in ACS patients treated with ticagrelor or clopidogrel, apart from the association between a rare polymorphism and bleeding that requires further study. If ticagrelor's pleiotropic effects on adenosine uptake are clinically relevant, these do not appear to be significantly affected by variation in the ENT1 gene.
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| 3. |
- Varenhorst, Christoph, et al.
(författare)
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Effect of genetic variations on ticagrelor plasma levels and clinical outcomes
- 2015
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Ingår i: European Heart Journal. - : Oxford University Press (OUP). - 0195-668X .- 1522-9645. ; 36:29, s. 1901-1912
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Tidskriftsartikel (refereegranskat)abstract
- Aims Ticagrelor, a direct-acting P2Y(12)-receptor antagonist, is rapidly absorbed and partly metabolized to the major metabolite AR-C124910XX (ARC). To identify single-nucleotide polymorphisms (SNPs) associated with pharmacokinetics of ticagrelor and clinical outcomes, we performed a genome-wide association study (GWAS) in patients treated with ticagrelor in the PLATO trial. Methods and results A two-stage design was used for the GWAS with discovery (discovery phase: n = 1812) and replication cohorts (replication phase: n = 1941). The steady-state area under the curve (AUCss) values, estimated by the population pharmacokinetic (PK) models, were log transformed and analysed on a genome-wide scale using linear regression. SNPs were analysed against clinical events using Cox-regression in 4990 patients. An SNP (rs113681054) in SLCO1B1 was associated with levels of ticagrelor (P = 1.1 x 10(-6)) and ARC (P = 4.6 x 10(-13)). This SNP is in linkage disequilibrium with a functional variant (rs4149056) that results in decreased OATP1B1 transporter activity. Ticagrelor levels were also associated with two independent SNPs (rs62471956, P = 7.7 x 10(-15) and rs56324128, P = 9.7 x 10(-12)) in the CYP3A4 region. Further, ARC levels were associated with rs61361928 (P = 3.0 x 10(-14)) in UGT2B7. At all loci, the effects were small. None of the identified SNPs that affected ticagrelor PK were associated with the primary composite outcome (cardiovascular death myocardial infarction, and stroke), non-CABG-related bleeds or investigator-reported dyspnoea. Conclusion In patients with ACS, ticagrelor pharmacokinetics is influenced by three genetic loci (SLCO1B1, UGT2B7, and CYP3A4). However, the modest genetic effects on ticagrelor plasma levels did not translate into any detectable effect on efficacy or safety during ticagrelor treatment.
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