Literature DB >> 18752379

Warfarin pharmacogenetics.

Nita A Limdi1, David L Veenstra.   

Abstract

Significant interest in the pharmacogenetics of warfarin therapy has been triggered with the recent package insert update that highlights the potential role of pharmacogenetics in improving the safety and effectiveness of warfarin. We review the evidence of the influence of the two key genes of interest, the cytochrome P450 2C9 gene, CYP2C9, and the vitamin K epoxide reductase complex 1 gene, VKORC1, on warfarin response and discuss the implications of current knowledge for clinical practice. The influence of CYP2C9 and VKORC1 genotypes on warfarin dose requirements has been consistently demonstrated in diverse racial and ethnic patient groups in observational studies and randomized clinical trials. Dosing algorithms have been developed that incorporate clinical, demographic, and genetic information to help select a warfarin starting dose. Furthermore, CYP2C9 variant genotypes have been associated with a significantly increased risk of serious bleeding events. However, evidence to date from prospective, controlled studies has not demonstrated an added benefit of incorporating genotype-guided therapy in improving anticoagulation control or in preventing or reducing the risk of hemorrhagic or thromboembolic complications. Research efforts designed to evaluate the effectiveness of genotype-guided therapy in improving outcomes are under way. However, the routine use of CYP2C9 and VKORC1 genotyping in the general patient population who begin warfarin therapy is not supported by evidence currently available.

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Year:  2008        PMID: 18752379      PMCID: PMC2756787          DOI: 10.1592/phco.28.9.1084

Source DB:  PubMed          Journal:  Pharmacotherapy        ISSN: 0277-0008            Impact factor:   4.705


  91 in total

Review 1.  Genetic determinants of dose and clinical outcomes in patients receiving oral anticoagulants.

Authors:  Ute I Schwarz; C Michael Stein
Journal:  Clin Pharmacol Ther       Date:  2006-07       Impact factor: 6.875

2.  A coding VKORC1 Asp36Tyr polymorphism predisposes to warfarin resistance.

Authors:  Ronen Loebstein; Ilana Dvoskin; Hillel Halkin; Manuela Vecsler; Aharon Lubetsky; Gideon Rechavi; Ninette Amariglio; Yoram Cohen; Gie Ken-Dror; Shlomo Almog; Eva Gak
Journal:  Blood       Date:  2006-11-16       Impact factor: 22.113

3.  What are the barriers to warfarin use in atrial fibrillation?: Development of a questionnaire.

Authors:  Anders Ingelgård; Jennifer Hollowell; Prabashni Reddy; Karen Gold; Kimbach Tran; David Fitzmaurice
Journal:  J Thromb Thrombolysis       Date:  2006-06       Impact factor: 2.300

4.  Association of Vitamin K epoxide reductase complex 1 (VKORC1) variants with warfarin dose in a Hong Kong Chinese patient population.

Authors:  David L Veenstra; Joyce H S You; Mark J Rieder; Federico M Farin; Hui-Wen Wilkerson; David K Blough; Gregory Cheng; Allan E Rettie
Journal:  Pharmacogenet Genomics       Date:  2005-10       Impact factor: 2.089

5.  A novel functional VKORC1 promoter polymorphism is associated with inter-individual and inter-ethnic differences in warfarin sensitivity.

Authors:  Hsiang-Yu Yuan; Jin-Jer Chen; M T Michael Lee; Ju-Chieh Wung; Ying-Fu Chen; Min-Ji Charng; Ming-Jen Lu; Chi-Ren Hung; Chun-Yu Wei; Chien-Hsiun Chen; Jer-Yuarn Wu; Yuan-Tsong Chen
Journal:  Hum Mol Genet       Date:  2005-05-11       Impact factor: 6.150

6.  A prospective, randomized pilot trial of model-based warfarin dose initiation using CYP2C9 genotype and clinical data.

Authors:  Michael A Hillman; Russell A Wilke; Steven H Yale; Humberto J Vidaillet; Michael D Caldwell; Ingrid Glurich; Richard L Berg; John Schmelzer; James K Burmester
Journal:  Clin Med Res       Date:  2005-08

7.  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

8.  The pharmacology and management of the vitamin K antagonists: the Seventh ACCP Conference on Antithrombotic and Thrombolytic Therapy.

Authors:  Jack Ansell; Jack Hirsh; Leon Poller; Henry Bussey; Alan Jacobson; Elaine Hylek
Journal:  Chest       Date:  2004-09       Impact factor: 9.410

9.  Comparison of an anticoagulation clinic with usual medical care: anticoagulation control, patient outcomes, and health care costs.

Authors:  E Chiquette; M G Amato; H I Bussey
Journal:  Arch Intern Med       Date:  1998 Aug 10-24

10.  A method to determine the optimal intensity of oral anticoagulant therapy.

Authors:  F R Rosendaal; S C Cannegieter; F J van der Meer; E Briët
Journal:  Thromb Haemost       Date:  1993-03-01       Impact factor: 5.249

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  51 in total

1.  Practical Consideration of Genotype Imputation: Sample Size, Window Size, Reference Choice, and Untyped Rate.

Authors:  Boshao Zhang; Degui Zhi; Kui Zhang; Guimin Gao; Nita N Limdi; Nianjun Liu
Journal:  Stat Interface       Date:  2011       Impact factor: 0.582

2.  Combined CYP2C9, VKORC1 and CYP4F2 frequencies among racial and ethnic groups.

Authors:  Stuart A Scott; Rame Khasawneh; Inga Peter; Ruth Kornreich; Robert J Desnick
Journal:  Pharmacogenomics       Date:  2010-06       Impact factor: 2.533

3.  Pharmacogenomics and public health.

Authors:  D Veenstra; W Burke
Journal:  Public Health Genomics       Date:  2009-02-10       Impact factor: 2.000

Review 4.  Mini-series: II. clinical aspects. clinically relevant CYP450-mediated drug interactions in the ICU.

Authors:  Isabel Spriet; Wouter Meersseman; Jan de Hoon; Sandrina von Winckelmann; Alexander Wilmer; Ludo Willems
Journal:  Intensive Care Med       Date:  2009-01-09       Impact factor: 17.440

5.  Increased frequency of CYP2C9 variant alleles and homozygous VKORC1*2B carriers in warfarin-treated patients with excessive INR response.

Authors:  Espen Molden; Cecilie Okkenhaug; Erik Ekker Solberg
Journal:  Eur J Clin Pharmacol       Date:  2010-03-31       Impact factor: 2.953

6.  High-dimensional pharmacogenetic prediction of a continuous trait using machine learning techniques with application to warfarin dose prediction in African Americans.

Authors:  Erdal Cosgun; Nita A Limdi; Christine W Duarte
Journal:  Bioinformatics       Date:  2011-03-30       Impact factor: 6.937

Review 7.  Pharmacokinetic and pharmacodynamic drug interactions with ethanol (alcohol).

Authors:  Lingtak-Neander Chan; Gail D Anderson
Journal:  Clin Pharmacokinet       Date:  2014-12       Impact factor: 6.447

8.  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

9.  Personalized medicine and genomics: challenges and opportunities in assessing effectiveness, cost-effectiveness, and future research priorities.

Authors:  Rena Conti; David L Veenstra; Katrina Armstrong; Lawrence J Lesko; Scott D Grosse
Journal:  Med Decis Making       Date:  2010-01-04       Impact factor: 2.583

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

Authors:  Fumihiko Takeuchi; Ralph McGinnis; Stephane Bourgeois; Chris Barnes; Niclas Eriksson; Nicole Soranzo; Pamela Whittaker; Venkatesh Ranganath; Vasudev Kumanduri; William McLaren; Lennart Holm; Jonatan Lindh; Anders Rane; Mia Wadelius; Panos Deloukas
Journal:  PLoS Genet       Date:  2009-03-20       Impact factor: 5.917

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