Literature DB >> 19752777

Genetic and environmental factors determining clinical outcomes and cost of warfarin therapy: a prospective study.

Andrea L Jorgensen1, Sameh Al-Zubiedi, Jieying Eunice Zhang, Andrew Keniry, Anita Hanson, Dyfrig A Hughes, Diane van Eker, Lisa Stevens, Karen Hawkins, Cheng H Toh, Farhad Kamali, Ann K Daly, David Fitzmaurice, Alison Coffey, Paula R Williamson, Brian Kevin Park, Panos Deloukas, Munir Pirmohamed.   

Abstract

BACKGROUND: In this prospective cohort study, we have undertaken a comprehensive evaluation of clinical parameters along with variation in 29 genes (including CYP2C9 and VKORC1) to identify factors determining interindividual variability in warfarin response.
METHODS: Consecutive patients (n=311) were followed up prospectively for 26 weeks. Several outcomes chosen to capture both warfarin efficacy and toxicity were assessed. Univariate and multiple regression analyses were undertaken to assess the combined effect of clinical and genetic factors.
RESULTS: CYP2C9 was the most important gene determining initial anticoagulant control, whereas VKORC1 was more important for stable anticoagulation. Novel associations with some clinical outcomes were found with single nucleotide polymorphisms in the cytochrome 450 genes CYP2C18 and CYP2C19, which were independent of the associations observed with CYP2C9 and in genes encoding CYP3A5, protein S and clotting factor V, although the variability explained by these genes was small. On the basis of the results of microcosting, adverse events were shown to be a significant predictor of total cost.
CONCLUSION: Accurate prediction of warfarin dose requirement needs to take into account multiple genetic and environmental factors, the contributions of which vary in the induction and maintenance phases of treatment.

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Year:  2009        PMID: 19752777      PMCID: PMC3330749          DOI: 10.1097/FPC.0b013e3283317ab5

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


  52 in total

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3.  Flexible induction dose regimen for warfarin and prediction of maintenance dose.

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

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5.  VKORC1 polymorphisms, haplotypes and haplotype groups on warfarin dose among African-Americans and European-Americans.

Authors:  Nita A Limdi; T Mark Beasley; Michael R Crowley; Joyce A Goldstein; Mark J Rieder; David A Flockhart; Donna K Arnett; Ronald T Acton; Nianjun Liu
Journal:  Pharmacogenomics       Date:  2008-10       Impact factor: 2.533

6.  Warfarin sensitivity related to CYP2C9, CYP3A5, ABCB1 (MDR1) and other factors.

Authors:  M Wadelius; K Sörlin; O Wallerman; J Karlsson; Q-Y Yue; P K E Magnusson; C Wadelius; H Melhus
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7.  The largest prospective warfarin-treated cohort supports genetic forecasting.

Authors:  Mia Wadelius; Leslie Y Chen; Jonatan D Lindh; Niclas Eriksson; Mohammed J R Ghori; Suzannah Bumpstead; Lennart Holm; Ralph McGinnis; Anders Rane; Panos Deloukas
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8.  Warfarin treatment of a patient with coagulation factor IX propeptide mutation causing warfarin hypersensitivity.

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9.  Non-fatal major bleeding during treatment with vitamin K antagonists: influence of soluble thrombomodulin and mutations in the propeptide of coagulation factor IX.

Authors:  J F van der Heijden; B Rekké; B A Hutten; F J M van der Meer; M G H Remkes; M Vermeulen; H R Büller; P H Reitsma
Journal:  J Thromb Haemost       Date:  2004-07       Impact factor: 5.824

10.  A genome-wide association study confirms VKORC1, CYP2C9, and CYP4F2 as principal genetic determinants of warfarin dose.

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Journal:  PLoS Genet       Date:  2009-03-20       Impact factor: 5.917

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1.  Integration of genetic, clinical, and INR data to refine warfarin dosing.

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Review 2.  Cost effectiveness of pharmacogenomics: a critical and systematic review.

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3.  Multiple UDP-glucuronosyltransferases in human liver microsomes glucuronidate both R- and S-7-hydroxywarfarin into two metabolites.

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4.  The population pharmacokinetics of R- and S-warfarin: effect of genetic and clinical factors.

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5.  Factors affecting time to maintenance dose in patients initiating warfarin.

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6.  CYP2C19*17 affects R-warfarin plasma clearance and warfarin INR/dose ratio in patients on stable warfarin maintenance therapy.

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7.  Development of a chiral micellar electrokinetic chromatography-tandem mass spectrometry assay for simultaneous analysis of warfarin and hydroxywarfarin metabolites: application to the analysis of patients serum samples.

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Review 8.  Effect of genetic variants, especially CYP2C9 and VKORC1, on the pharmacology of warfarin.

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
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9.  Metabolism of R- and S-warfarin by CYP2C19 into four hydroxywarfarins.

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10.  Influence of warfarin dose-associated genotypes on the risk of hemorrhagic complications in Chinese patients on warfarin.

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