BACKGROUND: CYP2C9 and VKORC1 genotypes predict therapeutic warfarin dose at initiation of therapy; however, the predictive ability of genetic information after a week or longer is unknown. Experts have hypothesized that genotype becomes irrelevant once international normalized ratio (INR) values are available because INR response reflects warfarin sensitivity. METHODS: We genotyped the participants in the Prevention of Recurrent Venous Thromboembolism (PREVENT) trial, who had idiopathic venous thromboemboli and began low-intensity warfarin (therapeutic INR 1.5-2.0) using a standard dosing protocol. To develop pharmacogenetic models, we quantified the effect of genotypes, clinical factors, previous doses and INR on therapeutic warfarin dose in the 223 PREVENT participants who were randomized to warfarin and achieved stable therapeutic INRs. RESULTS: A pharmacogenetic model using data from day 0 (before therapy initiation) explained 54% of the variability in therapeutic dose (R(2)). The R(2) increased to 68% at day 7, 75% at day 14, and 77% at day 21, because of increasing contributions from prior doses and INR response. Although CYP2C9 and VKORC1 genotypes were significant independent predictors of therapeutic dose at each weekly interval, the magnitude of their predictive ability diminished over time: partial R(2) of genotype was 43% at day 0, 12% at day 7, 4% at day 14, and 1% at day 21. CONCLUSION: Over the first weeks of warfarin therapy, INR and prior dose become increasingly predictive of therapeutic dose, and genotype becomes less relevant. However, at day 7, genotype remains clinically relevant, accounting for 12% of therapeutic dose variability.
RCT Entities:
BACKGROUND:CYP2C9 and VKORC1 genotypes predict therapeutic warfarin dose at initiation of therapy; however, the predictive ability of genetic information after a week or longer is unknown. Experts have hypothesized that genotype becomes irrelevant once international normalized ratio (INR) values are available because INR response reflects warfarin sensitivity. METHODS: We genotyped the participants in the Prevention of Recurrent Venous Thromboembolism (PREVENT) trial, who had idiopathic venous thromboemboli and began low-intensity warfarin (therapeutic INR 1.5-2.0) using a standard dosing protocol. To develop pharmacogenetic models, we quantified the effect of genotypes, clinical factors, previous doses and INR on therapeutic warfarin dose in the 223 PREVENT participants who were randomized to warfarin and achieved stable therapeutic INRs. RESULTS: A pharmacogenetic model using data from day 0 (before therapy initiation) explained 54% of the variability in therapeutic dose (R(2)). The R(2) increased to 68% at day 7, 75% at day 14, and 77% at day 21, because of increasing contributions from prior doses and INR response. Although CYP2C9 and VKORC1 genotypes were significant independent predictors of therapeutic dose at each weekly interval, the magnitude of their predictive ability diminished over time: partial R(2) of genotype was 43% at day 0, 12% at day 7, 4% at day 14, and 1% at day 21. CONCLUSION: Over the first weeks of warfarin therapy, INR and prior dose become increasingly predictive of therapeutic dose, and genotype becomes less relevant. However, at day 7, genotype remains clinically relevant, accounting for 12% of therapeutic dose variability.
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: Paul M Ridker; Samuel Z Goldhaber; Ellie Danielson; Yves Rosenberg; Charles S Eby; Steven R Deitcher; Mary Cushman; Stephan Moll; Craig M Kessler; C Gregory Elliott; Rolf Paulson; Turnly Wong; Kenneth A Bauer; Bruce A Schwartz; Joseph P Miletich; Henri Bounameaux; Robert J Glynn Journal: N Engl J Med Date: 2003-02-24 Impact factor: 91.245
Authors: M A Perera; E Gamazon; L H Cavallari; S R Patel; S Poindexter; R A Kittles; D Nicolae; N J Cox Journal: Clin Pharmacol Ther Date: 2011-01-26 Impact factor: 6.875
Authors: Ahmed M L Bedewy; Salah A Sheweita; Mostafa Hasan Mostafa; Lamia Saeed Kandil Journal: Indian J Hematol Blood Transfus Date: 2016-09-27 Impact factor: 0.900
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: Nita A Limdi; Todd M Brown; Aditi Shendre; Nianjun Liu; Charles E Hill; Timothy M Beasley Journal: Pharmacogenet Genomics Date: 2017-10 Impact factor: 2.089
Authors: Erik Fung; Nikolaos A Patsopoulos; Steven M Belknap; Daniel J O'Rourke; John F Robb; Jeffrey L Anderson; Nicholas W Shworak; Jason H Moore Journal: Semin Thromb Hemost Date: 2012-10-06 Impact factor: 4.180