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.
BACKGROUND: The dose response relationship of warfarin is unpredictable. Polymorphism of the Cytochrome P4502C9 enzyme leads to warfarinhypersensitivity 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.
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
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
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
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
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
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
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
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
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
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
Authors: Anthony LaSala; Bruce Bower; Andreas Windemuth; C Michael White; Mohan Kocherla; Richard Seip; Jorge Duconge; Gualberto Ruaño Journal: Conn Med Date: 2008-08