Skip to main content
Journal of Medicine and Life logoLink to Journal of Medicine and Life
. 2015 Apr-Jun;8(2):171–175.

Pharmacogenetics aspects of oral anticoagulants therapy

FC Militaru *, SC Vesa *, TR Pop **, AD Buzoianu *
PMCID: PMC4392103  PMID: 25866574

Abstract

Rationale: Vitamin K antagonists (VKA), such as warfarin and acenocoumarol, are widely used for the prevention and treatment of thromboembolic diseases and they are some of the most commonly prescribed types of medications. They are characterized by narrow therapeutic indices and inter-individual or intra-individual variability in response to the treatment.

Objective: to establish the influence of several genetic factors on VKA efficacy and adverse reactions.

Methods and Results: The metabolism of VKA differs depending on their chemical structure: indandiones derivatives (fluindione) or coumarin derivatives (acenocoumarol, phenprocoumon or warfarin). They are mostly metabolized in hepatocytes via a monooxygenase, cytochrome P450 2C9 (CYP2C9), resulting in inactive products. The gene encoding CYP2C9 is polymorphic, its genetic variants being associated with differences in the enzymatic activity of CYP2C9. The most important in terms of their frequency in the general population are CYP2C9*2 and CYP2C9*3. Both alleles are associated with a marked decrease in CYP2C9 enzyme activity. VK epoxide reductase (VKOR) is an enzyme with an important role in VK metabolism. Various polymorphisms in the VKORC1 gene have been described. VKORC1*2 haplotype seems to be the most important in relation to the variability in response to VKA.

Discussions: Various studies have shown a relationship between the genotype and the mean warfarin maintenance dosing: in patients carrying 2C9*1/ *2 alleles, the dose is reduced by 18-40% in patients carrying 2C9*2/ *2 alleles, by 21-49% in patients carrying 2C9*1/ *3 alleles. The A allele of the c.-1639G>A polymorphism in the VKORC1 gene is associated with the need for a lower dose of acenocoumarol in patients on anticoagulant therapy.

Abbreviations: SNP = Single Nucleotide Polymorphism, VKA = vitamin K antagonists, C1 - VKORC1 = vitamin K epoxide reductase complex subunit, INR = International Normalized Ratio

Keywords: Vitamin K antagonists, Vitamin K antagonists, CYP2C9 gene, VKORC1 gene

Introduction

Patients with thromboembolic diseases such as pulmonary embolism, deep vein thrombosis or those with atrial fibrillation at risk of thromboembolic complications need short-term or sometimes long-term anticoagulation therapy.

Vitamin K antagonists (VKA), such as warfarin and acenocoumarol, are widely used for the prevention and treatment of thromboembolic diseases and they are some of the most commonly prescribed types of medications. They are characterized by narrow therapeutic indices and inter-individual or intra-individual variability in response to treatment [1,2].

Progress in pharmacogenetics may influence the improvement in the clinical approach to patients treated with VKA [3-5].

Pharmacogenetics and pharmacogenomics aim to establish the influence of genetic factors on drug efficacy and adverse reactions.

Genetic polymorphisms, SNPs (Single Nucleotide Polymorphism) being the most common, are minimal changes in genetic information, present in more than 1% of the population, considered to be normal variants, but nevertheless, in certain circumstances, they may have a phenotypic impact. These genetic polymorphisms make an important contribution to the great inter-individual and inter-ethnic variability in drug response [6].

Metabolism of VKA

The metabolism of oral anticoagulants differs depending on their chemical structure: indandiones derivatives (fluindione) or coumarin derivatives (acenocoumarol, phenprocoumon or warfarin). The most commonly used oral anticoagulants are coumarin derivatives. They are mostly metabolized in hepatocytes via a monooxygenase, cytochrome P450 2C9 (CYP2C9), resulting in inactive products [7]. CYP2C9 accounts for 20-25% of the hepatic cytochrome P450, being a protein that comprises 489 amino acids and whose gene is located on chromosome 10 [8]. CYP2C9 is involved in the metabolism of 15-20% of the drugs that are currently used in medical practice, some examples being: phenytoin, tolbutamide, glipizide, sartans, many of the non-steroidal anti-inflammatory drugs and oral anticoagulants [9]. It is known that the gene encoding CYP2C9 is polymorphic, its genetic variants being associated with differences in the enzymatic activity of CYP2C9. Studies carried out in different ethnic groups have revealed the existence of several allelic variants of the CYP2C9 gene, such as CYP2C9*2, CYP2C9*3, CYP2C9*4, CYP2C9*5, CYP2C9*6, and others. Of these, the most important in terms of their frequency in the general population are CYP2C9*2 and CYP2C9*3. Both alleles are associated with a marked decrease in CYP2C9 enzyme activity, with approximately 12% residual enzyme activity in the case of CYP2C9*2 and 5% in the case of CYP2C9*3 [10]. CYP2C9*2 and CYP2C9*3 variants are most common in Caucasians, with allelic frequencies of 10-14% (CYP2C9*2) and 8-10% (CYP2C9*3), compared to 1-2% (CYP2C9*2) and 0 (CYP2C9*3) in Asians, or 0.5-1% (CYP2C9*2) and 1% (CYP2C9*3) in Africans. In a study conducted in Romania, CYP2C9*2 allele was present in 11.3% of the subjects, while CYP2C9*3 allele was determined in 9.3% subjects [11]. Acenocoumarol is inactivated as a result of hydroxylation by CYP2C9, which is why individuals who carry at least one defective CYP2C9*2 allele, especially CYP2C9*3 (allele associated with only 5% CYP2C9 enzyme activity) are susceptible to excessive anticoagulation for average doses of acenocoumarol.

VK epoxide reductase - pharmacological target of oral anticoagulants

Oral anticoagulants factors lead to the synthesis of VK-dependent clotting factors (II, VII, IX and X), gamma-glutamyl carboxylase, functionally inactive. Physiologically, gamma carboxylation of glutamic acid residues of these factors is an essential post-translational maturation phase, allowing the binding of clotting factors to platelet phospholipids, via calcium ions. Gamma-carboxylation is done by an enzyme - gamma-glutamyl carboxylase, whose cofactor is the reduced form of VK. This is converted to VK epoxide, which requires VK recycling to its reduced form, VK quinone (K) and then VK hydroquinone (KH2), under the action of certain reductases that have not been clearly identified until recently [12]. In February 2004, in the same issue of Nature review, two research teams published the identification of the gene encoding VK epoxide reductase complex subunit C1 (VKORC1) [13,14]. The VKORC1 gene is located on chromosome 16 and encodes a dithiol-dependent reductase that converts VK epoxide to VK quinone. This enzyme appears to be one of the target enzymes of oral anticoagulants. Irreversible inhibition of VKORC1 by oral anticoagulants blocks VK regeneration, resulting in non-functional pro-coagulation factors.

Various polymorphisms in the VKORC1 gene have been described, most of them being grouped into 4 major haplotypes. Among them, VKORC1*2 haplotype seems to be the most important in relation to the variability in response to oral anticoagulants and the risk of excessive bleeding [15]. The VKORC1*2 haplotype is labelled by the c.G-1639A polymorphism located in the promoter region of the VKORC1 gene, indicating the presence of a low amount of active VK by disrupting its recycling mechanism via epoxide reductase. Recent studies have shown that the VKORC1*2 haplotype is associated with the risk of excessive anticoagulation in acenocoumarol average dose and thus, with bleeding events. The C1173T polymorphism in intron 1 of the VKORC1 gene is as representative for the VKORC1*2 haplotype as the c.G-1639A polymorphisms, because they are in complete linkage disequilibrium with each other [16]. Regarding the C1173T polymorphism, there is an approximately 45% T-allele frequency in Caucasians, which means that almost half of the individuals belonging to this population would be susceptible to an increased sensitivity to acenocoumarol. In a study on a population from Romania, the c.G-1639A polymorphism recorded a G allele frequency of 57.8% and an A allele frequency of 42.2% [17]. It seems that the VKORC1*2 haplotype has a greater contribution (40%) to the inter-individual and inter-ethnic variability in response to acenocoumarol than the CYP2C9 variants. Taking this into account, as well as the up to 14% contribution of the CYP2C9 variants, it appears that the variability in response to acenocoumarol is over 50% determined by CYP2C9 and VKORC1 variants [18]. If the VKORC1*2 haplotype is associated with the risk of excessive anticoagulation in case of average doses of oral anticoagulants, there are also rare mutations in the VKORC1 gene associated with anticoagulant resistance and with the need for higher doses of anticoagulant. Such a mutation is a g. G5417T transversion, which results in the substitution of an aspartate with a tyrosine at position 36 (p.Asp36Tyr) of the VKORC1 molecule, whose presence requires high doses of warfarin in order to trigger the anticoagulant effect [19]. It should be noted that the relationship between this mutation and the response to acenocoumarol is not known.

Individual variability in response to the treatment with oral anticoagulants: environmental factors and VKORC1 and CYP2C9 gene polymorphisms

The difficulty in managing oral anticoagulants is closely related to the narrow therapeutic index range of these drugs and to the great inter- and intra-individual variability in response to the treatment. This is estimated by measuring the International Normalized Ratio (INR), sensitive to clotting factors deficiencies (factors II, VII and IX, three of the VK-dependent clotting factors) [7].

For a long time, environmental factors were considered responsible for the inter- and intra-individual variations in the response to oral anticoagulant therapy. These factors include: patient characteristics (age, gender, body mass index], dietary intake of VK, comorbidities (liver failure, severe renal failure, heart failure, thyroid disease, etc.), acute inter-current pathologies (fever, sepsis, decompensated heart failure, diarrhoea, etc.) and concomitant drug therapy [20,21].

Along with demographic and environmental factors, genetic polymorphisms have also been identified, explaining part of the variability in response to oral anticoagulant therapy [22].

CYP2C9 polymorphisms vary according to ethnicity (Caucasian, African or Asian). The most common variants in Caucasians are CYP2C9*2 (Arg 144-Cys) and CYP2C9*3 (Ile 359-Leu), present in 8-19%, respectively 6-10% of the subjects, which indicates that almost a quarter of the general population have at least one mutant allele. The mutant enzymes resulting from these polymorphisms are less active than normal enzymes, resulting in a reduction in the metabolism of coumarin derivatives: subjects bearing at least one mutant allele have an increased sensitivity to these compounds and are referred to as “poor metabolizers” [8].

Various studies have shown a relationship between the genotype and the mean warfarin maintenance dosing [23-27]: in middle-aged patients, compared to patients carrying two normal alleles (2C9*1/*1) the dose is reduced by 13-22%; in patients carrying 2C9*1/*2 alleles, the dose is reduced by 18-40% in patients carrying 2C9*2/*2 alleles, by 21-49% in patients carrying 2C9*1/*3 alleles, by 18-73% in patients carrying 2C9*2/*3, and by 71% or more in patients carrying 2C9*3/*3 alleles. The results are comparable to those obtained in studies conducted on acenocoumarol and phenprocoumon [28-30]. Moreover, some studies have shown that the prevalence of CYP2C9*1/*3, CYP2C9*2/*2 and CYP2C9*2/*3 genotypes was higher in the group of patients treated with low doses of acenocoumarol compared to those treated with higher and medium doses [17,31].

In a retrospective study conducted on 185 patients receiving long-term warfarin therapy, with a mean follow-up of 13 months, Higashi et al. revealed that the possession of at least one CYP2C9 mutant allele is associated with a significantly increased risk of overdose (hazard ratio [HR] 1.40 [95% CI: 1.03-1.90]), with an increase in the maintenance dose range (HR 0.65 [95% CI: 0.45-0.94]) and especially with an increased risk of major bleeding (HR 2.39 [95% CI: 1.18-4.86]) [22]. Regarding the risk of overdose or the risk of bleeding, the results are comparable to those obtained in studies on the doses of acenocoumarol and phenprocoumon [28,32,33].

The discovery of polymorphisms in the VKORC1 gene is a step forward in understanding the inter-individual variability in oral anticoagulant maintenance dose range. In a study conducted on 147 patients treated with warfarin, D'Andrea et al. have identified a first polymorphism (1173C> T) as an independent factor influencing the mean daily maintenance dose: it is significantly lower in 1173TT patients (3.5 mg; p<0.001) than in 1173CT patients (4.8 mg; p=0.002) and 1173CC patients (6.2 mg) [34]. Militaru et al. have demonstrated the influence of the c.-1639G>A polymorphism on the time to therapeutic INR [35].

Rieder et al. have studied the VKORC1 gene thoroughly and identified two A and B haplotypes in 186 Caucasian subjects (including the polymorphism identified by D'Andrea et al.): A/ A subjects required a significantly lower warfarin maintenance dose (2.7 mg) than A/ B subjects (4.9 mg) and B/ B subjects (6.2 mg) [36].

Montes et al. have also shown that the A allele of the c.-1639G>A polymorphism in the VKORC1 gene is associated with the need for a lower dose of acenocoumarol in patients on anticoagulant therapy [37].

Due to the difficult management of VKA and the risk of bleeding and thromboembolic events, there have been attempts to develop algorithms in order to establish the therapeutic dose that would protect the patient from these risks. The algorithms developed to estimate the stable therapeutic doses of warfarin, acenocoumarol or phenprocoumon are based both on clinical and pharmacological characteristics of the patients (age, gender, body mass index, concomitant therapy with amiodarone, statins, antifungals, antibiotics, ACE inhibitors, liver failure, kidney failure) and on mutations that directly or indirectly influence the therapy with VKA (polymorphisms in the VKORC1, CYP2C9, CYP4F2, and GGCX genes) [38-43]. Although the algorithms establishing the stable dose of VK antagonists have shown good results in reducing the frequency of adverse reactions, studies did not indicate a good cost-efficiency ratio.

Conclusion

The management of VKA is complex and it depends of several mutations for CYP2C9 and VKORC1 genes.

Acknowledgment

This paper was published under the frame of European Social Fund, Human Resources Development Operational Programme 2007-2013, project no. POSDRU/159/1.5/S/138776

References

  • 1.Tomalik-Scharte D, Lazar A, Fuhr U, Kirchheiner J. The clinical role of genetic polimorphisms in drug-metabolizing enzymes. Pharmacogenomics J. 2008;8:4–15. doi: 10.1038/sj.tpj.6500462. [DOI] [PubMed] [Google Scholar]
  • 2.Lee MT, Klein TE. Pharmacogenetics of warfarin: challenges and opportunities. J Hum Genet. 2013;58(6):334–338. doi: 10.1038/jhg.2013.40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Siguret V. Antivitamines K et pharmacogénétique: vers une meilleure compréhension de la variabilité individuelle de l'effet dose-réponse. Patologie Biologie. 2007;55:295–298. doi: 10.1016/j.patbio.2007.04.001. [DOI] [PubMed] [Google Scholar]
  • 4.Franchini M, Mengoli C, Cruciani M, Bonfanti C, Mannucci PM. Effects on bleeding complications of pharmacogenetic testing for initial dosing of vitamin K antagonists: a systematic review and meta-analysis. J Thromb Haemos. 2014;12(9):1480–1487. doi: 10.1111/jth.12647. [DOI] [PubMed] [Google Scholar]
  • 5.Krajciova L, Deziova L, Petrovic R, Luha J, Turcani P, Chandoga J. Frequencies of polymorphisms in CYP2C9 and VKORC1 genes influencing warfarin metabolism in Slovak population: implication for clinical practice. Bratisl Lek Listy. 2014;115(9):563–568. doi: 10.4149/bll_2014_109. [DOI] [PubMed] [Google Scholar]
  • 6.Hall IP, Pirmohamed M. Pharmacogenetics. 1st ed. New York: Taylor & Francis Group; 2006. [Google Scholar]
  • 7.Ansell J, Hirsh J, Poller L, Bussey H, Jacobson A, Hylek E. The pharmacology and management of the vitamin K antagonists: the Seventh ACCP Conference on Antithrombotic and Thrombolytic Therapy. Chest. 2004;126(3 Suppl):204S–233S. doi: 10.1378/chest.126.3_suppl.204S. [DOI] [PubMed] [Google Scholar]
  • 8.Kirchheiner J, Brockmöller J. Clinical consequences of cytochrome P4502C9 polymorphisms. Clin Pharmacol Ther. 2005;77:1–16. doi: 10.1016/j.clpt.2004.08.009. [DOI] [PubMed] [Google Scholar]
  • 9.Kim K, Johnson JA, Derendorf H. Differences in Drug Pharmacokinetics Between East Asians and Caucasians and the Role of Genetic Polymorphisms. J Clin Pharmacol. 2004;44:1083–1105. doi: 10.1177/0091270004268128. [DOI] [PubMed] [Google Scholar]
  • 10.Taube J, Halsall D, Baglin T. Influence of cytochrome P-450 CYP2C9 polymorphisms on warfarin sensitivity and risk of over-anticoagulation in patients on long-term treatment. Blood. 2000;96(5):1816–1819. [PubMed] [Google Scholar]
  • 11.Buzoianu AD, Trifa AP, Mureşanu DF, Crişan S. Analysis of CYP2C9*2, CYP2C9*3 and VKORC1 -1639 G>A polymorphisms in a population from South-Eastern Europe. J Cell Mol Med. 2012;16(12):2919–2924. doi: 10.1111/j.1582-4934.2012.01606.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Stafford DW. The vitamin K cycle. J Thromb Haemost. 2005;3:1873–1878. doi: 10.1111/j.1538-7836.2005.01419.x. [DOI] [PubMed] [Google Scholar]
  • 13.Rost S, Fregin A, Ivaskevicius V, Conzelmann E, Hörtnagel K, Pelz HJ, Lappegard K, Seifried E, Scharrer I, Tuddenham EG, Müller CR, Strom TM, Oldenburg J. Mutations in VKORC1 cause warfarin resistance and multiple coagulation factor deficiency type 2. Nature. 2004;427:537–541. doi: 10.1038/nature02214. [DOI] [PubMed] [Google Scholar]
  • 14.Li T, Chang CY, Jin DY, Lin PJ, Khvorova A, Stafford DW. Identification of the gene for vitamin K epoxide reductase. Nature. 2004;427:541–544. doi: 10.1038/nature02254. [DOI] [PubMed] [Google Scholar]
  • 15.Geisen C, Watzka M, Sittinger K, Steffens M, Daugela L, Seifried E, Muller CR, Wienker TF, Oldenburg J. VKORC1 haplotypes and their impact on the inter individual and inter-ethnical variability of oral anticoagulation. Thromb Haemost. 2005;94:773–779. doi: 10.1160/TH05-04-0290. [DOI] [PubMed] [Google Scholar]
  • 16.Kimmel SE, Christie J, Kealey C, Chen Z, Price M, Thorn CF, Brensinger CM, Newcomb CW, Whitehead AS. Apolipoprotein E genotype and warfarin dosing among Caucasians and African Americans. TPJ. 2008;8:53–60. doi: 10.1038/sj.tpj.6500445. [DOI] [PubMed] [Google Scholar]
  • 17.Buzoianu AD, Militaru FC, Vesa SC, Trifa AP, Crişan S. The impact of the CYP2C9 and VKORC1 polymorphisms on acenocoumarol dose requirements in a Romanian population. Blood Cells Mol Dis. 2013;50(3):166–170. doi: 10.1016/j.bcmd.2012.10.010. [DOI] [PubMed] [Google Scholar]
  • 18.Bodin L, Verstuyft C, Tregouet DA, Robert A, Dubert L, Funck-Brentano C, Jaillon P, Beaune P, Laurent-Puig P, Becquemont L, Loriot MA. Cytochrome P450 2C9 (CYP2C9) and vitamin K epoxide reductase (VKORC1) genotypes as determinants of acenocoumarol sensitivity. Blood. 2005;106(1):135–140. doi: 10.1182/blood-2005-01-0341. [DOI] [PubMed] [Google Scholar]
  • 19.Loebstein R, Dvoskin I, Halkin H, Vecsler M, Lubetsky A, Rechavi G, Amariglio N, Cohen Y, Ken-Dror G, Almog S, Gak E. A coding VKORC1 Asp36Tyr polymorphism predisposes to warfarin resistance. Blood. 2007;109:2477–2480. doi: 10.1182/blood-2006-08-038984. [DOI] [PubMed] [Google Scholar]
  • 20.Penning-van Beest FJ, van Meegen E, Rosendaal FR, Stricker BH. Characteristics of anticoagulant therapy and comorbidity related to overanticoagulation. Thromb Haemost. 2001;86:569–574. [PubMed] [Google Scholar]
  • 21.Visser LE, Penning-van Bees FJ, Kasbergen AA, De Smet PA, Vulto AG, Hofman A, Stricker BH. Overanticoagulation associated with combined use of antibacterial drugs and acenocumarol or phenprocoumon anticoagulants. Thromb Haemost. 2002;88:705–710. [PubMed] [Google Scholar]
  • 22.Carcas AJ, Borobia AM, Velasco M, Abad-Santos F, Díaz MQ, Fernández-Capitán C, Ruiz-Giménez N, Madridano O, Sillero PL. PGX-ACE Spanish Investigators Group. Efficiency and effectiveness of the use of an acenocoumarol pharmacogenetic dosing algorithm versus usual care in patients with venous thromboembolic disease initiating oral anticoagulation: study protocol for a randomized controlled trial. Trials. 2012;13:239. doi: 10.1186/1745-6215-13-239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Higashi MK, Veenstra DL, Kondo LM, Wittkowsky AK, Srinouanprachanh SL, Farin FM, et al. Association between CYP2C9 genetic variants and anticoagulation-related outcomes during warfarin therapy. JAMA. 2002;287:1690–1698. doi: 10.1001/jama.287.13.1690. [DOI] [PubMed] [Google Scholar]
  • 24.Aithal GP, Day CP, Kesteven PJ, Daly AK. Association of polymorphisms in the cytochrome P450 CYP2C9 with warfarin dose requirement and risk of bleeding complications. Lancet. 1999;353:717–719. doi: 10.1016/S0140-6736(98)04474-2. [DOI] [PubMed] [Google Scholar]
  • 25.Taube J, Halsall D, Baglin T. Influence of cytochrome P-450 CYP2C9 polymorphisms on warfarin sensitivity and risk of over-anticoagulation in patients on long-term treatment. Blood. 2000;96(5):1816–1819. [PubMed] [Google Scholar]
  • 26.Kamali F, Khan TI, King BP, Frearson R, Kesteven P, Wood P, et al. Contribution of age and body size and CYP2C9 genotype to anticoagulant. Clin Pharmacol Ther. 2004;75:204–212. doi: 10.1016/j.clpt.2003.10.001. [DOI] [PubMed] [Google Scholar]
  • 27.Siguret V, Gouin I, Golmard JL, Geoffroy S, Andreux JP, Pautas E. Polymorphismes du cytochrome P450 2C9 (CYP2C9) et posologie à l'équilibre pour des patients âgés traités par warfarine. Rev Med Intern. 2004;25:271–274. doi: 10.1016/j.revmed.2003.11.006. [DOI] [PubMed] [Google Scholar]
  • 28.Visser LE, van Vliet M, van Schaik RH, Kasbergen AA, De Smet PA, Vulto AG, et al. The risk of overanticoagulation in patients with cytochrome P450 CYP2C9*2 or CYP2C9*3 alleles on acenocoumarol or phenprocoumon. Pharmacogenetics. 2004;14:27–33. doi: 10.1097/00008571-200401000-00003. [DOI] [PubMed] [Google Scholar]
  • 29.Bodin L, Verstuyft C, Tregouet DA, Robert A, Dubert L, Funck-Brentano C, Jaillon P, Beaune P, Laurent-Puig P, Becquemont L, Loriot MA. Cytochrome P450 2C9 (CYP2C9) and vitamin K epoxide reductase (VKORC1) genotypes as determinants of acenocoumarol sensitivity. Blood. 2005;106(1):135–140. doi: 10.1182/blood-2005-01-0341. [DOI] [PubMed] [Google Scholar]
  • 30.Jiménez-Varo E, Cañadas-Garre M, Henriques CI, Pinheiro AM, Gutiérrez-Pimentel MJ, Calleja-Hernández MÁ. Pharmacogenetics role in the safety of acenocoumarol therapy. Thromb Haemost. 2014;112(3):522–536. doi: 10.1160/TH13-11-0941. [DOI] [PubMed] [Google Scholar]
  • 31.Saraeva RB, Paskaleva ID, Doncheva E, Eap CB, Ganev VS. Pharmacogenetics of acenocoumarol: CYP2C9, CYP2C19, CYP1A2, CYP3A4, CYP3A5 and ABCB1 gene polymorphisms and dose requirements. J Clin Pharm Ther. 2007;32:641–649. doi: 10.1111/j.1365-2710.2007.00870.x. [DOI] [PubMed] [Google Scholar]
  • 32.Verstuyft C, Robert A, Morin S, Loriot MA, Flahault A, Beaune P, et al. Genetic and environmental risk factors for oral anticoagulant overdose. Eur J Clin Pharmacol. 2003;58:739–745. doi: 10.1007/s00228-002-0538-2. [DOI] [PubMed] [Google Scholar]
  • 33.Militaru FC, Vesa ŞC, Crișan S, Militaru V, Trifa AP, Buzoianu AD. Genotype-phenotype correlations in patients treated with acenocoumarol. RRML. 2014;22(3):347–354. [Google Scholar]
  • 34.D’Andrea G, D’Ambrosio RL, Di Perna P, Chetta M, Santacroce R, Brancaccio V. A polymorphism in VKORC1 gene is associated with an interindividual variability in the dose-anticoagulant effect of warfarin. Blood. 2005;105:645–649. doi: 10.1182/blood-2004-06-2111. [DOI] [PubMed] [Google Scholar]
  • 35.Militaru FC, Crişan S, Vesa ŞC, Trifa A, Militaru V, Buzoianu AD. Influence of CYP2C9 and VKORC1 polymorphisms on the time required to reach the therapeutic INR. HVM Bioflux. 2012;4(3):110–113. [Google Scholar]
  • 36.Rieder MJ, Reiner AP, Gage BF, Nickerson DA, Eby CS, McLeod HL, Blough DK, Thummel KE, Veenstra DL, Rettie AE. Effect of VKORC1 haplotypes on transcriptional regulation and warfarin dose. N Engl J Med. 2005;352:2285–2293. doi: 10.1056/NEJMoa044503. [DOI] [PubMed] [Google Scholar]
  • 37.Montes R, Ruiz de Gaona E, Martinez-Gonzalez MA, Alberca I, Hermida J. The c._1639G4A polymorphism of the VKORC1 gene is a major determinant of the response to acenocoumarol in anticoagulated patients. Br J Haematol. 2006;133:183–187. doi: 10.1111/j.1365-2141.2006.06007.x. [DOI] [PubMed] [Google Scholar]
  • 38.Borobia AM, Lubomirov R, Ramírez E, Lorenzo A, Campos A, Muñoz-Romo R, Fernández-Capitán C, Frías J, Carcas AJ. An acenocoumarol dosing algorithm using clinical and pharmacogenetic data in spanish patients with thromboembolic disease. PLoS One. 2012;7(7):e41360. doi: 10.1371/journal.pone.0041360. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Verde Z, Ruiz JR, Santiago C, Valle B, Bandrés F, Calvo E, Lucía A, Gómez Gallego F. A novel, single algorithm approach to predict acenocoumarol dose based on CYP2C9 and VKORC1 allele variants. PLoS One. 2010;5(6):e11210. doi: 10.1371/journal.pone.0011210. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.van Schie RM, Wessels JA, le Cessie S, de Boer A, Schalekamp T, van der Meer FJ, Verhoef TI, van Meegen E, Rosendaal FR, Maitland-van der Zee AH. EU-PACT Study Group. Loading and maintenance dose algorithms for phenprocoumon and acenocoumarol using patient characteristics and pharmacogenetic data. Eur Heart J. 2010;32(15):1909–1917. doi: 10.1093/eurheartj/ehr116. [DOI] [PubMed] [Google Scholar]
  • 41.Pop TR, Vesa Ş, Trifa AP, Crişan S, Buzoianu AD. An acenocoumarol dose algorithm based on a South-Eastern European population. Eur J Clin Pharmacol. 2013;69(11):1901–1907. doi: 10.1007/s00228-013-1551-3. [DOI] [PubMed] [Google Scholar]
  • 42.Cadamuro J, Dieplinger B, Felder T, Kedenko I, Mueller T, Haltmayer M, Patsch W, Oberkofler H. Genetic determinants of acenocoumarol and phenprocoumon maintenance dose requirements. Eur J Clin Pharmacol. 2010;66(3):253–260. doi: 10.1007/s00228-009-0768-7. [DOI] [PubMed] [Google Scholar]
  • 43.Rathore SS, Agarwal SK, Pande S, Singh SK, Mittal T, Mittal B. CYP4F2 1347 G ⟩ A & GGCX 12970 C ⟩ G polymorphisms: frequency in north Indians & their effect on dosing of acenocoumarol oral anticoagulant. Indian J Med Res. 2014;139(4):572–578. [PMC free article] [PubMed] [Google Scholar]

Articles from Journal of Medicine and Life are provided here courtesy of SC Jurnalul pentru Medicina si Viata SRL

RESOURCES