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Pharmacogenetic-guided Dosing of Coumarin Anticoagulants: Algorithms for Warfarin, Acenocoumarol and Phenprocoumon

Overview
Specialty Pharmacology
Date 2013 Aug 8
PMID 23919835
Citations 45
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Abstract

Coumarin derivatives, such as warfarin, acenocoumarol and phenprocoumon are frequently prescribed oral anticoagulants to treat and prevent thromboembolism. Because there is a large inter-individual and intra-individual variability in dose-response and a small therapeutic window, treatment with coumarin derivatives is challenging. Certain polymorphisms in CYP2C9 and VKORC1 are associated with lower dose requirements and a higher risk of bleeding. In this review we describe the use of different coumarin derivatives, pharmacokinetic characteristics of these drugs and differences amongst the coumarins. We also describe the current clinical challenges and the role of pharmacogenetic factors. These genetic factors are used to develop dosing algorithms and can be used to predict the right coumarin dose. The effectiveness of this new dosing strategy is currently being investigated in clinical trials.

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References
1.
Choi J, Kim J, Kang D, Yoon S, Shin J, Zhang X . Proposal of pharmacogenetics-based warfarin dosing algorithm in Korean patients. J Hum Genet. 2011; 56(4):290-5. DOI: 10.1038/jhg.2011.4. View

2.
Caldwell M, Awad T, Johnson J, Gage B, Falkowski M, Gardina P . CYP4F2 genetic variant alters required warfarin dose. Blood. 2008; 111(8):4106-12. PMC: 2288721. DOI: 10.1182/blood-2007-11-122010. View

3.
Puehringer H, Loreth R, Klose G, Schreyer B, Krugluger W, Schneider B . VKORC1 -1639G>A and CYP2C9*3 are the major genetic predictors of phenprocoumon dose requirement. Eur J Clin Pharmacol. 2010; 66(6):591-8. DOI: 10.1007/s00228-010-0809-2. View

4.
Lenzini P, Wadelius M, Kimmel S, Anderson J, Jorgensen A, Pirmohamed M . Integration of genetic, clinical, and INR data to refine warfarin dosing. Clin Pharmacol Ther. 2010; 87(5):572-8. PMC: 2858245. DOI: 10.1038/clpt.2010.13. View

5.
Leendertse A, Egberts A, Stoker L, Van den Bemt P . Frequency of and risk factors for preventable medication-related hospital admissions in the Netherlands. Arch Intern Med. 2008; 168(17):1890-6. DOI: 10.1001/archinternmed.2008.3. View