Literature DB >> 20499136

An evaluation of nine genetic variants related to metabolism and mechanism of action of warfarin as applied to stable dose prediction.

John F Carlquist1, Benjamin D Horne, Chrissa Mower, James Park, John Huntinghouse, Jason T McKinney, Joseph B Muhlestein, Jeffrey L Anderson.   

Abstract

Warfarin anticoagulation is complicated by the highly variable inter-individual response. Approximately 50% of the dose variability arises from clinical factors and variants in two genes, CYP2C9 (*2 and *3 variants) and VKORC1 -1173 C > T. We tested variants in five additional genes (EPHX1, PROC, APOE, CYP4F2, CALU and a new variant in VKORC1 in an attempt to further reduce the variability in predicted stable warfarin dose. Consecutive consenting outpatients requiring anticoagulation on stable warfarin dose (target INR 2-3) were genotyped; the association of SNP genotypes with stable warfarin dose was evaluated using the test of linear contrasts in analysis of variance (ANOVA). Study participants were 71 ± 13 years, 53% female, 85 ± 23 kg, body mass index 29 ± 7 kg/m(2). Genotypes were in Hardy-Weinberg equilibrium with the exception of VKORC1 -1639. Weekly stable dosages were 31.7 ± 13.9 mg/week; median: 30 mg/week, range: 11-70 mg/week. Significant associations with dose were seen for VKORC1 -1639 (P < 0.001), CYP2C9*2 (P = 0.005) and *3 (P = 0.003), the CYP4F2 SNP (P-trend = 0.00037), and VKORC1 3730 (p-trend = 0.042). In linear regression, age, sex, weight, and CYP2C9 *2 and *3 and VKORC1-1639 genotype explained 42% of variance. The addition of CYP4F2 genotype to the regression model increased the degree of variance explained to 47%. Addition of VKORC1 SNP -1639 to a model eliminated the association of VKORC1 3730 with warfarin dose (P-trend = 0.74), but -1639 remained highly significant. No impact on dose was observed for the other tested genetic variants.

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Year:  2010        PMID: 20499136     DOI: 10.1007/s11239-010-0467-3

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


  26 in total

1.  Genotypes of the cytochrome p450 isoform, CYP2C9, and the vitamin K epoxide reductase complex subunit 1 conjointly determine stable warfarin dose: a prospective study.

Authors:  John F Carlquist; Benjamin D Horne; Joseph B Muhlestein; Donald L Lappé; Bryant M Whiting; Matthew J Kolek; Jessica L Clarke; Brent C James; Jeffrey L Anderson
Journal:  J Thromb Thrombolysis       Date:  2006-12       Impact factor: 2.300

Review 2.  The physiology of vitamin K nutriture and vitamin K-dependent protein function in atherosclerosis.

Authors:  K L Berkner; K W Runge
Journal:  J Thromb Haemost       Date:  2004-12       Impact factor: 5.824

3.  Genetic-based dosing in orthopedic patients beginning warfarin therapy.

Authors:  Eric A Millican; Petra A Lenzini; Paul E Milligan; Leonard Grosso; Charles Eby; Elena Deych; Gloria Grice; John C Clohisy; Robert L Barrack; R Stephen J Burnett; Deepak Voora; Susan Gatchel; Amy Tiemeier; Brian F Gage
Journal:  Blood       Date:  2007-03-26       Impact factor: 22.113

Review 4.  Transport of vitamin K to bone in humans.

Authors:  M Kohlmeier; A Salomon; J Saupe; M J Shearer
Journal:  J Nutr       Date:  1996-04       Impact factor: 4.798

5.  Warfarin dose adjustments based on CYP2C9 genetic polymorphisms.

Authors:  Mark W Linder; Stephen Looney; Jesse E Adams; Nancy Johnson; Deborah Antonino-Green; Nichole Lacefield; Bonny L Bukaveckas; Roland Valdes
Journal:  J Thromb Thrombolysis       Date:  2002-12       Impact factor: 2.300

6.  A polymorphism in the VKORC1 gene is associated with an interindividual variability in the dose-anticoagulant effect of warfarin.

Authors:  Giovanna D'Andrea; Rosa Lucia D'Ambrosio; Pasquale Di Perna; Massimiliano Chetta; Rosa Santacroce; Vincenzo Brancaccio; Elvira Grandone; Maurizio Margaglione
Journal:  Blood       Date:  2004-09-09       Impact factor: 22.113

7.  Building individualized medicine: prevention of adverse reactions to warfarin therapy.

Authors:  Evgeny Krynetskiy; Patrick McDonnell
Journal:  J Pharmacol Exp Ther       Date:  2007-05-11       Impact factor: 4.030

8.  Allelic variants in the CYP2C9 and VKORC1 loci and interindividual variability in the anticoagulant dose effect of warfarin in Italians.

Authors:  Paola Borgiani; Cinzia Ciccacci; Vittorio Forte; Silvia Romano; Giorgio Federici; Giuseppe Novelli
Journal:  Pharmacogenomics       Date:  2007-11       Impact factor: 2.533

9.  Combined genetic profiles of components and regulators of the vitamin K-dependent gamma-carboxylation system affect individual sensitivity to warfarin.

Authors:  Manuela Vecsler; Ronen Loebstein; Shlomo Almog; Daniel Kurnik; Boleslav Goldman; Hillel Halkin; Eva Gak
Journal:  Thromb Haemost       Date:  2006-02       Impact factor: 5.249

10.  Warfarin causes the degradation of protein C precursor in the endoplasmic reticulum.

Authors:  F Tokunaga; S Wakabayashi; T Koide
Journal:  Biochemistry       Date:  1995-01-31       Impact factor: 3.162

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  17 in total

1.  Genetic warfarin dosing: tables versus algorithms.

Authors:  Brian S Finkelman; Brian F Gage; Julie A Johnson; Colleen M Brensinger; Stephen E Kimmel
Journal:  J Am Coll Cardiol       Date:  2011-02-01       Impact factor: 24.094

2.  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

3.  Adherence in outpatients taking warfarin and its effect on anticoagulation control in Jordan.

Authors:  Mera A Ababneh; Sayer I Al-Azzam; Karem H Alzoubi; Abeer M Rababa'h
Journal:  Int J Clin Pharm       Date:  2016-03-25

4.  Vitamin K antagonists in children with heart disease: height and VKORC1 genotype are the main determinants of the warfarin dose requirement.

Authors:  Caroline Moreau; Fanny Bajolle; Virginie Siguret; Dominique Lasne; Jean-Louis Golmard; Caroline Elie; Philippe Beaune; Radhia Cheurfi; Damien Bonnet; Marie-Anne Loriot
Journal:  Blood       Date:  2011-11-30       Impact factor: 22.113

Review 5.  Genotype-based dosing algorithms for warfarin therapy: data review and recommendations.

Authors:  Eric G Johnson; Benjamin D Horne; John F Carlquist; Jeffrey L Anderson
Journal:  Mol Diagn Ther       Date:  2011-10-01       Impact factor: 4.074

Review 6.  The pharmacogenetics of the response to warfarin in Chinese.

Authors:  May P S Lam; Bernard M Y Cheung
Journal:  Br J Clin Pharmacol       Date:  2012-03       Impact factor: 4.335

7.  Is there a role for MDR1, EPHX1 and protein Z gene variants in modulation of warfarin dosage? a study on a cohort of the Egyptian population.

Authors:  Marianne Samir Makboul Issac; Maggie S El-Nahid; Marian Youssry Wissa
Journal:  Mol Diagn Ther       Date:  2014-02       Impact factor: 4.074

8.  Association between hsa-miR-34b/c rs4938723 T > C promoter polymorphism and cancer risk: a meta-analysis based on 6,036 cases and 6,204 controls.

Authors:  Tao Tao; Shuqiu Chen; Bin Xu; Chunhui Liu; Yiduo Wang; Yeqing Huang; Ming Chen
Journal:  Chin J Cancer Res       Date:  2014-06       Impact factor: 5.087

9.  Effect of gene polymorphims on the warfarin treatment at initial stage.

Authors:  J Liu; H H Jiang; D K Wu; Y X Zhou; H M Ye; X Li; Z Y Luo; Z Guo; Y L Zhang; Y C Wang; W Zhang; H H Zhou; L S Wang
Journal:  Pharmacogenomics J       Date:  2015-12-08       Impact factor: 3.550

Review 10.  Impact of the CYP4F2 p.V433M polymorphism on coumarin dose requirement: systematic review and meta-analysis.

Authors:  E Danese; M Montagnana; J A Johnson; A E Rettie; C F Zambon; S A Lubitz; G Suarez-Kurtz; L H Cavallari; L Zhao; M Huang; Y Nakamura; T Mushiroda; M K Kringen; P Borgiani; C Ciccacci; N T Au; T Langaee; V Siguret; M A Loriot; H Sagreiya; R B Altman; M H A Shahin; S A Scott; S I Khalifa; B Chowbay; I M Suriapranata; M Teichert; B H Stricker; M Taljaard; M R Botton; J E Zhang; M Pirmohamed; X Zhang; J F Carlquist; B D Horne; M T M Lee; V Pengo; G C Guidi; P Minuz; C Fava
Journal:  Clin Pharmacol Ther       Date:  2012-11-07       Impact factor: 6.875

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