Literature DB >> 12913403

Warfarin dose adjustments based on CYP2C9 genetic polymorphisms.

Mark W Linder1, Stephen Looney, Jesse E Adams, Nancy Johnson, Deborah Antonino-Green, Nichole Lacefield, Bonny L Bukaveckas, Roland Valdes.   

Abstract

BACKGROUND: The dose response relationship of warfarin is unpredictable. Polymorphism of the Cytochrome P4502C9 enzyme leads to warfarin hypersensitivity presumably due to decreased metabolism of the S-enantiomer. The purpose of this study was to further characterize the relationship between CYP2C9 genotype and phenotype and to develop a basis for guidelines to interpret CYP2C9 genotype for warfarin dosing. METHODS AND
RESULTS: Patients stabilized on warfarin therapy were recruited from an anticoagulation clinic. Patients were genotyped for CYP2C9*2, CYP2C9*3 and CYP2C9*5 alleles by standard methods of polymerase chain reaction amplification and restriction endonuclease digestion. Phenotype was determined by; dose (mg/kg/d) required to maintain anticoagulation, (INR 2.0-3.0), oral plasma S-warfarin clearance, and the plasma S:R-warfarin ratio. In this cohort, no subjects were found to have the CYP2C9*5 allele. The plasma S-warfarin concentration did not differ with age, dose or CYP2C9 genotype. Both CYP2C9*2 and *3 alleles were associated with lower maintenance dosages, lower total and R-warfarin plasma concentrations, decreased oral clearance of S-warfarin, increased plasma S:R-warfarin ratio and extended S-warfarin elimination half-life. Advancing age was found to decrease Warfarin maintenance dose in subjects with the common active CYP2C9*1/*1 genotype but did not influence dose requirement of subjects with one or more variant CYP2C9 alleles.
CONCLUSIONS: Subjects who have been titrated to a consistent target INR demonstrate comparable plasma S-warfarin concentrations independent of CYP2C9 genotype. The warfarin dose required to maintain a consistent target INR between subjects differs as a function of S-warfarin clearance which is decreased by both CYP2C9*2 and or CYP2C9*3 variant alleles. The variables of CYP2C9 genotype and age can be applied to restrict the dosage range considered for individual patients.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12913403     DOI: 10.1023/a:1025052827305

Source DB:  PubMed          Journal:  J Thromb Thrombolysis        ISSN: 0929-5305            Impact factor:   2.300


  23 in total

1.  Note on an exact treatment of contingency, goodness of fit and other problems of significance.

Authors:  G H FREEMAN; J H HALTON
Journal:  Biometrika       Date:  1951-06       Impact factor: 2.445

2.  The role of the CYP2C9-Leu359 allelic variant in the tolbutamide polymorphism.

Authors:  T H Sullivan-Klose; B I Ghanayem; D A Bell; Z Y Zhang; L S Kaminsky; G M Shenfield; J O Miners; D J Birkett; J A Goldstein
Journal:  Pharmacogenetics       Date:  1996-08

3.  Impaired (S)-warfarin metabolism catalysed by the R144C allelic variant of CYP2C9.

Authors:  A E Rettie; L C Wienkers; F J Gonzalez; W F Trager; K R Korzekwa
Journal:  Pharmacogenetics       Date:  1994-02

4.  Interindividual variability in sensitivity to warfarin--Nature or nurture?

Authors:  R Loebstein; H Yonath; D Peleg; S Almog; M Rotenberg; A Lubetsky; J Roitelman; D Harats; H Halkin; D Ezra
Journal:  Clin Pharmacol Ther       Date:  2001-08       Impact factor: 6.875

5.  Association between CYP2C9 genetic variants and anticoagulation-related outcomes during warfarin therapy.

Authors:  Mitchell K Higashi; David L Veenstra; L Midori Kondo; Ann K Wittkowsky; Sengkeo L Srinouanprachanh; Fred M Farin; Allan E Rettie
Journal:  JAMA       Date:  2002-04-03       Impact factor: 56.272

6.  Genetic modulation of oral anticoagulation with warfarin.

Authors:  M Margaglione; D Colaizzo; G D'Andrea; V Brancaccio; A Ciampa; E Grandone; G Di Minno
Journal:  Thromb Haemost       Date:  2000-11       Impact factor: 5.249

7.  A genetic algorithm to improve a neural network to predict a patient's response to warfarin.

Authors:  M N Narayanan; S B Lucas
Journal:  Methods Inf Med       Date:  1993-02       Impact factor: 2.176

8.  Chiral phase analysis of warfarin enantiomers in patient plasma in relation to CYP2C9 genotype.

Authors:  K R Henne; A Gaedigk; G Gupta; J S Leeder; A E Rettie
Journal:  J Chromatogr B Biomed Sci Appl       Date:  1998-06-12

9.  Factors affecting the maintenance dose of warfarin.

Authors:  A H James; R P Britt; C L Raskino; S G Thompson
Journal:  J Clin Pathol       Date:  1992-08       Impact factor: 3.411

10.  High clearance of (S)-warfarin in a warfarin-resistant subject.

Authors:  H O Hallak; P J Wedlund; M W Modi; I H Patel; G L Lewis; B Woodruff; A A Trowbridge
Journal:  Br J Clin Pharmacol       Date:  1993-03       Impact factor: 4.335

View more
  29 in total

Review 1.  The future prospects of pharmacogenetics in oral anticoagulation therapy.

Authors:  Farhad Kamali; Munir Pirmohamed
Journal:  Br J Clin Pharmacol       Date:  2006-06       Impact factor: 4.335

2.  Meta-analysis of Randomized Controlled Trials of Genotype-Guided vs Standard Dosing of Warfarin.

Authors:  Khagendra Dahal; Sharan P Sharma; Erik Fung; Juyong Lee; Jason H Moore; John N Unterborn; Scott M Williams
Journal:  Chest       Date:  2015-09       Impact factor: 9.410

3.  Pharmacogenomic trial design: use of a PK/PD model to explore warfarin dosing interventions through clinical trial simulation.

Authors:  David H Salinger; Danny D Shen; Kenneth Thummel; Ann K Wittkowsky; Paolo Vicini; David L Veenstra
Journal:  Pharmacogenet Genomics       Date:  2009-12       Impact factor: 2.089

4.  Factors affecting warfarin dose requirements and quality of anticoagulation in adult Egyptian patients: role of gene polymorphism.

Authors:  N S Bazan; N A Sabry; A Rizk; S Mokhtar; O A Badary
Journal:  Ir J Med Sci       Date:  2013-06-27       Impact factor: 1.568

5.  Quantitative Assessment of CYP2C9 Genetic Polymorphisms Effect on the Oral Clearance of S-Warfarin in Healthy Subjects.

Authors:  Chanan Shaul; Simcha Blotnick; Mordechai Muszkat; Meir Bialer; Yoseph Caraco
Journal:  Mol Diagn Ther       Date:  2017-02       Impact factor: 4.074

6.  Exposure to non-therapeutic INR in a high risk cardiovascular patient: potential hazard reduction with genotype-guided warfarin (Coumadin) dosing.

Authors:  Rosángela Rodríguez-Vélez; Oscar J Ortiz-Rivera; Bruce Bower; Krystyna Gorowski; Andreas Windemuth; David Villagra; Mohan Kocherla; Richard L Seip; Darrin D'Agostino; Cunegundo Vergara; Gualberto Ruaño; Jorge Duconge
Journal:  P R Health Sci J       Date:  2010-12       Impact factor: 0.705

7.  Laboratory and clinical outcomes of pharmacogenetic vs. clinical protocols for warfarin initiation in orthopedic patients.

Authors:  P A Lenzini; G R Grice; P E Milligan; M B Dowd; S Subherwal; E Deych; C S Eby; C R King; R M Porche-Sorbet; C V Murphy; R Marchand; E A Millican; R L Barrack; J C Clohisy; K Kronquist; S K Gatchel; B F Gage
Journal:  J Thromb Haemost       Date:  2008-07-24       Impact factor: 5.824

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.  Integrating genomic based information into clinical warfarin (Coumadin) management: an illustrative case report.

Authors:  Anthony LaSala; Bruce Bower; Andreas Windemuth; C Michael White; Mohan Kocherla; Richard Seip; Jorge Duconge; Gualberto Ruaño
Journal:  Conn Med       Date:  2008-08
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.