Literature DB >> 17496169

Building individualized medicine: prevention of adverse reactions to warfarin therapy.

Evgeny Krynetskiy1, Patrick McDonnell.   

Abstract

Warfarin is the most widely used oral anticoagulant in the world for patients with venous thrombosis, pulmonary embolism, chronic atrial fibrillation, and prosthetic heart valves. Approximately 30 genes contribute to therapeutic effects of warfarin, and genetic polymorphisms in these genes may modulate its anticoagulant activity. In contrast to monogenic pharmacogenetic traits, warfarin drug response is a polygenic trait, and development of diagnostic tools predictive of adverse reactions to warfarin requires a novel approach. A combination of two strategies, biochemical isolation of allelic variants and linkage disequilibrium association studies, was used to find an association between genetic polymorphisms in the candidate genes and warfarin response. A strong association was found between genetic polymorphisms in six genes, including VKORC1, CYP2C9, PROC, EPHX1, GGCX, and ORM1, and interindividual variability in the anticoagulant effect of warfarin; the strongest predictors were VKORC1 and CYP2C9. Generation of single nucleotide polymorphism (SNP)-based dense genetic maps made it possible to identify haplotypes associated with drugresponse phenotypes. Discrimination between haplotypes associated with warfarin dose phenotypes can be achieved by a limited set of informative polymorphisms (tag SNPs). The use of tag SNPs in pharmacogenomic analysis provides a promising tool for dissecting polygenic traits of drug response.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17496169     DOI: 10.1124/jpet.106.117952

Source DB:  PubMed          Journal:  J Pharmacol Exp Ther        ISSN: 0022-3565            Impact factor:   4.030


  20 in total

1.  Genetic analysis to prevent warfarin complications.

Authors:  Giuseppe Lippi; Gian Luca Salvagno; Gian Cesare Guidi
Journal:  CMAJ       Date:  2007-08-14       Impact factor: 8.262

Review 2.  Systems-based approaches to cardiovascular disease.

Authors:  W Robb MacLellan; Yibin Wang; Aldons J Lusis
Journal:  Nat Rev Cardiol       Date:  2012-01-10       Impact factor: 32.419

3.  An evaluation of nine genetic variants related to metabolism and mechanism of action of warfarin as applied to stable dose prediction.

Authors:  John F Carlquist; Benjamin D Horne; Chrissa Mower; James Park; John Huntinghouse; Jason T McKinney; Joseph B Muhlestein; Jeffrey L Anderson
Journal:  J Thromb Thrombolysis       Date:  2010-10       Impact factor: 2.300

Review 4.  Comparative pharmacodynamics and pharmacokinetics of oral direct thrombin and factor xa inhibitors in development.

Authors:  Bengt I Eriksson; Daniel J Quinlan; Jeffrey I Weitz
Journal:  Clin Pharmacokinet       Date:  2009       Impact factor: 6.447

5.  Is there a role for MDR1, EPHX1 and protein Z gene variants in modulation of warfarin dosage? a study on a cohort of the Egyptian population.

Authors:  Marianne Samir Makboul Issac; Maggie S El-Nahid; Marian Youssry Wissa
Journal:  Mol Diagn Ther       Date:  2014-02       Impact factor: 4.074

Review 6.  Triggers, targets and treatments for thrombosis.

Authors:  Nigel Mackman
Journal:  Nature       Date:  2008-02-21       Impact factor: 49.962

7.  Bioinformatic primer for clinical and translational science.

Authors:  Randolph S Faustino; Anca Chiriac; Andre Terzic
Journal:  Clin Transl Sci       Date:  2008-09       Impact factor: 4.689

8.  Influence of ORM1 polymorphisms on the maintenance stable warfarin dosage.

Authors:  Lian Sheng Wang; Jing Jing Shang; Shu Ya Shi; Yan Qing Zhang; Jian Lin; Zhi Hua Guo; Yi Chen Wang; Jie Tang; Jie Liu; Ying Zi Liu; Zhi Li; Zhi Rong Tan; Hong Hao Zhou; Hai He Jiang; Hai Tang Xie
Journal:  Eur J Clin Pharmacol       Date:  2012-12-04       Impact factor: 2.953

9.  Introducing pharmacy students to pharmacogenomic analysis.

Authors:  Evgeny Krynetskiy; Ina Lee Calligaro
Journal:  Am J Pharm Educ       Date:  2009-07-10       Impact factor: 2.047

10.  Should we test for CYP2C9 before initiating anticoagulant therapy in patients with atrial fibrillation?

Authors:  Mark H Eckman; Steven M Greenberg; Jonathan Rosand
Journal:  J Gen Intern Med       Date:  2009-03-03       Impact factor: 5.128

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.