Literature DB >> 18183038

Prospective study of warfarin dosage requirements based on CYP2C9 and VKORC1 genotypes.

M-S Wen1, Mtm Lee, J-J Chen, H-P Chuang, L-S Lu, C-H Chen, T-H Lee, C-T Kuo, F-M Sun, Y-J Chang, P-L Kuan, Y-F Chen, M-J Charng, C-Y Ray, J-Y Wu, Y-T Chen.   

Abstract

Polymorphisms in CYP2C9 and VKORC1 have been shown to be associated with warfarin dose requirements and could be used to predict warfarin dose. We conducted a prospective study in which warfarin dose was prescribed based on CYP2C9 and VKORC1 polymorphisms in 108 Han-Chinese patients without prior warfarin treatments. Using the genotype-based dosing, 83% of patients reached stable, therapeutic international normalized ratio (INR) within 2 weeks of treatment initiation and none of the patients developed clinical bleeding or thromboembolic event. Ten percent (11) of patients with INR > 4 and no clinical bleeding were detected during this study. At 12 weeks, 69% of the patients' maintenance doses matched the prediction. Dosing algorithms incorporating genetic factors, age, and body surface area were developed, which could explain up to 62% of the total variation (R(2) of 0.62). This study demonstrated that pharmacogenetics-based dosing could improve time to stable, therapeutic INR, reduce adverse events, and achieve high sensitivity.

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Year:  2008        PMID: 18183038     DOI: 10.1038/sj.clpt.6100453

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  50 in total

1.  Genetic warfarin dosing: tables versus algorithms.

Authors:  Brian S Finkelman; Brian F Gage; Julie A Johnson; Colleen M Brensinger; Stephen E Kimmel
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2.  Pharmacogenetic testing: Current Evidence of Clinical Utility.

Authors:  Jivan Moaddeb; Susanne B Haga
Journal:  Ther Adv Drug Saf       Date:  2013-08-01

3.  The impact of CYP2C9 and VKORC1 genetic polymorphism and patient characteristics upon warfarin dose requirements in an adult Turkish population.

Authors:  Nihat Ozer; Nese Cam; Burak Tangurek; Songul Ozer; Huseyin Uyarel; Dilaver Oz; Mehmet Rasit Guney; Figen Ciloglu
Journal:  Heart Vessels       Date:  2010-03-26       Impact factor: 2.037

4.  Cytochrome P450 2D6 genotyping: potential role in improving treatment outcomes in psychiatric disorders.

Authors:  Julia Kirchheiner; Cristina Rodriguez-Antona
Journal:  CNS Drugs       Date:  2009       Impact factor: 5.749

Review 5.  Pharmacogenetics of warfarin: challenges and opportunities.

Authors:  Ming Ta Michael Lee; Teri E Klein
Journal:  J Hum Genet       Date:  2013-05-09       Impact factor: 3.172

6.  Multiplex pyrosequencing method to determine CYP2C9*3, VKORC1*2, and CYP4F2*3 polymorphisms simultaneously: its application to a Korean population and comparisons with other ethnic groups.

Authors:  Kyoung-Ah Kim; Wan-Geun Song; Hae-Mi Lee; Hyun-Jin Joo; Ji-Young Park
Journal:  Mol Biol Rep       Date:  2014-07-29       Impact factor: 2.316

7.  Development of a novel individualized warfarin dose algorithm based on a population pharmacokinetic model with improved prediction accuracy for Chinese patients after heart valve replacement.

Authors:  Yu-Bin Zhu; Xian-Hua Hong; Meng Wei; Jing Hu; Xin Chen; Shu-Kui Wang; Jun-Rong Zhu; Feng Yu; Jian-Guo Sun
Journal:  Acta Pharmacol Sin       Date:  2017-02-20       Impact factor: 6.150

Review 8.  Understanding the pharmacogenetic approach to warfarin dosing.

Authors:  Ingrid Glurich; James K Burmester; Michael D Caldwell
Journal:  Heart Fail Rev       Date:  2008-11-08       Impact factor: 4.214

Review 9.  Warfarin sensitivity genotyping: a review of the literature and summary of patient experience.

Authors:  Thomas P Moyer; Dennis J O'Kane; Linnea M Baudhuin; Carmen L Wiley; Alexandre Fortini; Pamela K Fisher; Denise M Dupras; Rajeev Chaudhry; Prabin Thapa; Alan R Zinsmeister; John A Heit
Journal:  Mayo Clin Proc       Date:  2009-12       Impact factor: 7.616

10.  Pharmacogenomics of anticoagulants: steps toward personal dosage.

Authors:  Ann K Daly
Journal:  Genome Med       Date:  2009-01-21       Impact factor: 11.117

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