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Polymorphism of the CYP2C9 and VKORC1 genes in patients on the public health system of a municipality in Southern Brazil

Polimorfismo dos genes CYO2C9 e VKORC1 em pacientes do Sistema Público de Saúde em um município do Sul do Brasil

Abstract

Background

Genetic factors can be responsible for part of the populational and interindividual differences observed in warfarin users.

Objectives

To identify occurrence of polymorphisms of the CYP2C9 and VKORC1 genes in patients taking warfarin and relate these profiles to their medication dosages and the Time in Therapeutic Range (TTR).

Methods

Monthly interviews were conducted for data collection. Data were collected on demographic characteristics and medications in use, especially warfarin, including reason for prescription and weekly dose. TTR was calculated as the percentage of days with international normalized ratio (INR) between 2 and 3. The CYP2C9 and VKORC1 genes were analyzed at a Human Genetics Laboratory.

Results

49 patients (74.2%) had polymorphisms of the CYP2C9 and/or VKORC1 genes; the remaining 17 (25.8%) did not have these polymorphisms. The average weekly dose of warfarin was lower among those who had a polymorphism for any of the genes compared to those who did not, with a significant difference (p = 0.035). The mean TTR was also lower among patients with polymorphism. However, the difference between the two groups was not significant for this variable (p = 0.438).

Conclusions

An association was observed between the polymorphisms and the warfarin doses taken by the patients. However, there was no association with adverse events or the time spent within the therapeutic range in this sample.

Keywords:
warfarin; genetic polymorphism; adverse effects

Resumo

Contexto

Fatores genéticos podem ser responsáveis por parte das diferenças populacionais e interindividuais observadas em usuários de varfarina.

Objetivos

Identificar a ocorrência de polimorfismo dos genes CYP2C9 e VKORC1 em pacientes em uso de varfarina e relacionar esses perfis com a dose do medicamento e o tempo no intervalo terapêutico.

Métodos

Foram realizadas entrevistas mensais para a coleta de dados. Foram reunidos dados sobre características demográficas e medicamentos em uso, principalmente sobre varfarina, como motivo da prescrição e dose semanal. O tempo no intervalo terapêutico foi calculado como a porcentagem de dias com razão normalizada internacional entre os valores 2 e 3. Os genes CYP2C9 e VKORC1 foram analisados em laboratório de Genética Humana.

Resultados

Entre os participantes, 49 pacientes (74,2%) apresentaram polimorfismo dos genes CYP2C9 e/ou VKORC1; os 17 restantes (25,8%) não apresentaram esses polimorfismos. A dose média semanal de varfarina foi menor entre os que apresentaram polimorfismo para algum dos genes em comparação aos que não apresentaram, com diferença significativa (p = 0,035). O tempo no intervalo terapêutico médio também foi menor entre os pacientes com polimorfismo. Porém, não houve diferença significativa entre os dois grupos para essa variável (p = 0,438).

Conclusões

Foi observada associação entre os polimorfismos e a dose de varfarina utilizada pelos pacientes; no entanto, não houve associação com eventos adversos e o tempo de permanência na faixa terapêutica nessa amostra.

Palavras-chave:
varfarina; polimorfismo genético; efeitos adversos

INTRODUCTION

Several factors can modify the anticoagulant effect of warfarin. Of these, genetic factors are responsible for part of the populational and interindividual differences observed among warfarin users.11 Tavares LC, Marcatto LR, Santos PCJL. Genotype-guided warfarin therapy: current status. Pharmacogenomics. 2018;19(7):667-85. http://dx.doi.org/10.2217/pgs-2017-0207. PMid:29701078.
http://dx.doi.org/10.2217/pgs-2017-0207...

In conjunction with environmental factors, the CYP2C9 and VKORC1 genotypes explain two-thirds of inter-individual variability in response to warfarin. The VKORC1 and cytochrome P450 (CYP) 2C9 genes affect the pharmacodynamics and pharmacokinetics of warfarin, respectively.22 Kaye JB, Schultz LE, Steiner HE, Kittles RA, Cavallari LH, Karnes JH. Warfarin pharmacogenomics in diverse populations. Pharmacotherapy. 2017;37(9):1150-63. http://dx.doi.org/10.1002/phar.1982. PMid:28672100.
http://dx.doi.org/10.1002/phar.1982...

Identification of polymorphisms in patients is important for establishing the appropriate dose of warfarin and for preventing adverse events, especially at the beginning of treatment.33 Sehgal T, Hira JK, Ahluwalia J, et al. High prevalence of VKORC1*3 (G9041A) genetic polymorphism in north Indians: A study on patients with cardiac disorders on acenocoumarol. Drug Discov Ther. 2015;9(6):404-10. http://dx.doi.org/10.5582/ddt.2015.01066. PMid:26781925.
http://dx.doi.org/10.5582/ddt.2015.01066...
,44 Botton MR, Bandinelli E, Rohde LEP, Amon LC, Hutz MH. Influence of genetic, biological and pharmacological factors on warfarin dose in a Southern Brazilian population of European ancestry. Br J Clin Pharmacol. 2011;72(3):442-50. http://dx.doi.org/10.1111/j.1365-2125.2011.03942.x. PMid:21320153.
http://dx.doi.org/10.1111/j.1365-2125.20...
However, these tests are not yet available on the Brazilian public health system (known as the SUS), because of their high cost. Brazil is a country of continental proportions with an ethnically diverse population and the genetic profile of its population can therefore exhibit great variability. This study aims to identify the occurrence of polymorphisms of the CYP2C9 and VKORC1 genes in patients taking warfarin in a municipality in southern Brazil and to relate these profiles with drug dosage and Time in Therapeutic Range (TTR).

METHODS

The data used for this analysis are part of a prospective open cohort that includes warfarin users linked to the public health network in the municipality of Ijuí, RS, Brazil, which has a population of 79,396 inhabitants. Data related to drug interactions and adverse events55 Colet CF, Amador TA, Heineck I. Drug interactions and adverse events in a cohort of warfarin users attending public health clinics. Int J Cardiovasc Sci. 2018;32(2):110-7. http://dx.doi.org/10.5935/2359-4802.20180091.
http://dx.doi.org/10.5935/2359-4802.2018...
have been published and data on patients’ therapeutic itineraries have also been published.66 Colet CF, Amador TA, Heineck I. Therapeutic itinerary: trajectory for resolution of adverse events of patients using warfarin in Southern Brazil. Braz J Pharm Sci. 2018;54(3):e17738. http://dx.doi.org/10.1590/s2175-97902018000317738.
http://dx.doi.org/10.1590/s2175-97902018...

Study participants, data collection and organization

The Municipal Pharmaceutical Services offers 15 sites where drugs can be dispensed, linked to Basic Health Units (BHU). The municipality studied does not have a computerized system for dispensing drugs and copies of prescriptions are stored at the Municipal Secretariat of Health (SMS) Central Pharmacy.

The sample calculation considered the total population of the municipality, a 90% confidence level and 10% error, resulting in 69 subjects. The sample was selected by convenience. All prescriptions that contained warfarin were identified and selected and the patients’ charts were accessed, enabling identification of residential addresses, telephone data, and, thus, scheduling of home visits. We included all patients taking warfarin orally, for chronic treatment, living in the city of Ijuí, RS, who were outcome-free at baseline. Participants were identified in February 2014 and monitored for a maximum period of 18 months and a minimum of 12 months, between April 2014 and October 2015. New patients were recruited at the beginning of their warfarin treatment for the first six months of the study.

Data collection comprised monthly interviews conducted at the participants’ homes. Demographics data such as gender and skin color were collected in addition to specific data on the drugs being used – especially warfarin – such as reason for prescription and weekly dose. Adverse events like bleeding, thrombosis, hospitalizations, and deaths were recorded. These outcomes were self-reported and confirmed in medical records for cases in which the user sought medical care on the municipal care network. Details on patient identification, patient inclusion and information collection are described in Colet et al.66 Colet CF, Amador TA, Heineck I. Therapeutic itinerary: trajectory for resolution of adverse events of patients using warfarin in Southern Brazil. Braz J Pharm Sci. 2018;54(3):e17738. http://dx.doi.org/10.1590/s2175-97902018000317738.
http://dx.doi.org/10.1590/s2175-97902018...

Samples were also collected for laboratory tests at the participants’ homes in the third, tenth and, eighteenth months of the study. The results of INR (international normalized ratio) tests were used to calculate the time that patients taking warfarin remained in the therapeutic range (TTR), employing validated methodology adapted by Schmidt, Speckman, and Ansell.77 Schmitt L, Speckman J, Ansell J. Quality assessment of anticoagulation dose management: comparative evaluation of measures of time-in-therapeutic range. J Thromb Thrombolysis. 2003;15(3):213-6. http://dx.doi.org/10.1023/B:THRO.0000011377.78585.63. PMid:14739631.
http://dx.doi.org/10.1023/B:THRO.0000011...
The TTR was calculated as the percentage of days with INR between 2 and 3. The median and mean TTR values were used to present these data. The molecular analysis was performed at the Human Genetics Laboratory of the Department of Genetics at the UFRGS. For the analysis of the CYP2C9 and VKORC1 genes, 5 mL of venous blood was collected in 3.2% sodium citrate. DNA extraction was performed using Invitrogen’s commercial PureLink® DNA extraction kit. The identification of the -1639G> A (rs9923231) polymorphisms in the VKORC1, CYP2C9*2 (rs1799853) and CYP2C9*3 (rs1057910) gene, in the CYP2C9 gene, was responsible for the real-time PCR technique. Probes synthesized and standardized by the company Life Technologies® were used, specific for each polymorphism.

Statistical methods

Data were analyzed using SPSS version 18. Descriptive statistics of central tendency and dispersion were calculated. The magnitudes of associations were determined using Fischer’s exact test and one-way ANOVA was used to assess the associations between dose and polymorphism. The Chi-square test was used to assess associations between polymorphism, dose, and ethnicity.

Ethical aspects

All research participants signed an Informed Consent Form. The project was approved by the Research Ethics Committee at the Universidade Federal do Rio Grande do Sul (UFRGS), under number 336.259/2013.

RESULTS

This study evaluated the data of 66 patients from the original cohort, composed of 69 warfarin users – three patients did not take the molecular tests. Most patients were female (35; 53.0%) and white (55; 83.3%). Mean age was 64.3 ± 13.7 years, with a minimum of 33 and maximum of 96 years. The complete sociodemographic data are described in Colet, Amador, and Heineck.66 Colet CF, Amador TA, Heineck I. Therapeutic itinerary: trajectory for resolution of adverse events of patients using warfarin in Southern Brazil. Braz J Pharm Sci. 2018;54(3):e17738. http://dx.doi.org/10.1590/s2175-97902018000317738.
http://dx.doi.org/10.1590/s2175-97902018...

Participants used an average of 10.5 ± 3.4 continuous use drugs, including warfarin. The most frequent reason for warfarin use was prosthetic heart valves (39.7%), followed by treatment or prevention of venous thromboembolism (36.3%). Forty-nine patients (74.2%) had polymorphisms of the CYP2C9 and/or VKORC1 genes; the remaining 17 (25.8%) did not have these polymorphisms (Figure 1). There were no associations between polymorphism and sex (p = 0.986) or skin color (p = 0.304).

Figure 1
Flowchart illustrating polymorphism analyses for the CYP2C9 and VKORC1 genes, average dose of warfarin, and average TTR in a cohort of patients from the municipality of Ijuí, RS, Brazil (n = 66).

According to Figure 1, we can see that the mean weekly warfarin dose was lower (30.26 ± 14.62) among those who had polymorphisms of any of the genes, compared to those who did not (36.4 ± 13.9), with a significant difference (p = 0.035). Mean TTR was also lower among patients with polymorphisms. However, there was no significant difference between the two groups for this variable (p = 0.438).

Table 1 shows data on the mean weekly warfarin dose and the mean TTR according to the genotypes observed. No patient had the genotypes CYP2C9 *2/2 or CYP2C9 *2/3. Evaluating each genotype, it was found that those without polymorphism of the CYP2C9 gene (* 1/1) were taking higher doses than those who had polymorphisms of this gene (* 1/2, * 1/3, * 3/3), with significant difference (p = 0.013). Likewise, for the VKORC1 gene, there was a significant difference in dose between the different genotypes (p = 0.018). On average, patients with the CYP2C9*1/1 genotype remained less time in the therapeutic range than those with polymorphisms of this gene; but no significant association was observed between mean TTR and these different polymorphisms (p = 0.656). The analysis based on median TTR, calculated at 28.6%, allowed us to observe that 24 of the 47 patients with a CYP2C9 * 1/1 profile remained above the median 75% of the time, showing better performance than the other profiles; this difference was not significant, however (p = 0.193). Regarding the VKORC1 gene, there was also no significant difference between the groups considering mean TTR (p = 0.450) or median TTR (p = 1.000). There were no significant differences in relation to the different genotypes in terms of the adverse events bleeding (p = 0.613), thrombosis (p = 0.428), or hospitalizations (p = 0.075).

Table 1
Associations between weekly dose and TTR with CYP2C9 and VKORC1 genotypes among warfarin users in a cohort of patients in the municipality Ijuí, RS, Brazil (n=66).

DISCUSSION

In this study, it was observed that patients with polymorphism of the CYP2C9 and/or VKORC1 genes took significantly lower warfarin doses than those without polymorphisms. The same results were found in other studies.33 Sehgal T, Hira JK, Ahluwalia J, et al. High prevalence of VKORC1*3 (G9041A) genetic polymorphism in north Indians: A study on patients with cardiac disorders on acenocoumarol. Drug Discov Ther. 2015;9(6):404-10. http://dx.doi.org/10.5582/ddt.2015.01066. PMid:26781925.
http://dx.doi.org/10.5582/ddt.2015.01066...
,77 Schmitt L, Speckman J, Ansell J. Quality assessment of anticoagulation dose management: comparative evaluation of measures of time-in-therapeutic range. J Thromb Thrombolysis. 2003;15(3):213-6. http://dx.doi.org/10.1023/B:THRO.0000011377.78585.63. PMid:14739631.
http://dx.doi.org/10.1023/B:THRO.0000011...

8 Al-Eitan LN, Almasri AY, Khasawneh RH. Effects of CYP2C9 and VKORC1 polymorphisms on warfarin sensitivity and responsiveness during the stabilization phase of therapy. Saudi Pharm J. 2019;27(4):484-90. http://dx.doi.org/10.1016/j.jsps.2019.01.011. PMid:31061616.
http://dx.doi.org/10.1016/j.jsps.2019.01...
-99 Perini JA, Struchiner CJ, Silva-Assuncao E, et al. Pharmacogenetics of warfarin: development of a dosing algorithm for Brazilian patients. Clin Pharmacol Ther. 2008;84(6):722-8. http://dx.doi.org/10.1038/clpt.2008.166. PMid:18754001.
http://dx.doi.org/10.1038/clpt.2008.166...
In the study by Botton et al.,44 Botton MR, Bandinelli E, Rohde LEP, Amon LC, Hutz MH. Influence of genetic, biological and pharmacological factors on warfarin dose in a Southern Brazilian population of European ancestry. Br J Clin Pharmacol. 2011;72(3):442-50. http://dx.doi.org/10.1111/j.1365-2125.2011.03942.x. PMid:21320153.
http://dx.doi.org/10.1111/j.1365-2125.20...
polymorphisms of the CYP2C9 gene were strongly associated with dosage in individuals with genotypes CYP2C9 *1/*2, CYP2C9 *2/* 2, CYP2C9 *1/*3, and CYP2C9*2/*3, who required 17.8%, 59.6%, 26.5%, and 52.9% lower doses respectively, compared to homozygotes for the wild type genotype. Other authors corroborate that the initial warfarin dose should be 5 mg/day, adjusted by the INR value and the underlying disease to indicate the use of anticoagulants.1010 Holbrook A, Schulman S, Witt DM, et al. Evidence-based management of anticoagulant therapy antithrombotic therapy and prevention of thrombosis. Chest. 2012;141(2, Suppl):e152S-e184S. http://dx.doi.org/10.1378/chest.11-2295. PMid:22315259.
http://dx.doi.org/10.1378/chest.11-2295...

Mean TTR was also lower among patients with polymorphisms, without significant difference, however. Another finding is that data from the present study shows that only a quarter of the interviewees did not present any polymorphism for one or both of the genotypes surveyed. Botton et al.44 Botton MR, Bandinelli E, Rohde LEP, Amon LC, Hutz MH. Influence of genetic, biological and pharmacological factors on warfarin dose in a Southern Brazilian population of European ancestry. Br J Clin Pharmacol. 2011;72(3):442-50. http://dx.doi.org/10.1111/j.1365-2125.2011.03942.x. PMid:21320153.
http://dx.doi.org/10.1111/j.1365-2125.20...
observed similar results. These data demonstrate that most of the patients monitored have a polymorphism in the genes investigated and, therefore, need dose adjustments and greater monitoring to avoid adverse events.

Perini et al.99 Perini JA, Struchiner CJ, Silva-Assuncao E, et al. Pharmacogenetics of warfarin: development of a dosing algorithm for Brazilian patients. Clin Pharmacol Ther. 2008;84(6):722-8. http://dx.doi.org/10.1038/clpt.2008.166. PMid:18754001.
http://dx.doi.org/10.1038/clpt.2008.166...
argue that ethnicity is related to warfarin dose, reporting that white patients had an average dose of 28.9 mg ± 12.3 (± SD, n = 196), brown patients of 32.9 mg ± 12.4 (n = 118), and black patients of 35.3 mg ± 14.6 (n = 76). In the case of the Brazilian population, one must consider its high ethnicity diversity, which can influence the frequency of polymorphisms. The low frequency of black and brown patients in the population of this study impaired the analysis of polymorphism in relation to ethnicity. Suarez-Kurtz and Botton1111 Suarez-Kurtz G, Botton MR. Pharmacogenomics of warfarin in populations of African descent. Br J Clin Pharmacol. 2013;75(2):334-46. http://dx.doi.org/10.1111/j.1365-2125.2012.04354.x. PMid:22676711.
http://dx.doi.org/10.1111/j.1365-2125.20...
conducted a review study with patients of African descent, finding that there are polymorphisms with a high frequency in this population that rarely appear in individuals of European descent. Thus, black and Latino populations have greater variability in warfarin doses and are at greater risk of suffering warfarin-related adverse events compared to those of European descent.22 Kaye JB, Schultz LE, Steiner HE, Kittles RA, Cavallari LH, Karnes JH. Warfarin pharmacogenomics in diverse populations. Pharmacotherapy. 2017;37(9):1150-63. http://dx.doi.org/10.1002/phar.1982. PMid:28672100.
http://dx.doi.org/10.1002/phar.1982...

Carriers of the CYP2C9* 2 and/or the CYP2C9*3 allele, which account for 10% and 6% of the European population, respectively, are at increased risk of bleeding complications, especially at the beginning of anticoagulant therapy and need more time to stabilize the dose of warfarin. According to Mandic et al.,1212 Mandic D, Bozina N, Mandic S, Samardzija M, Milostic-Srb A, Rumora L. VKORC1 gene polymorphisms and adverse events in Croatian patients on warfarin therapy. Int J Clin Pharmacol Ther. 2015;53(11):905-13. http://dx.doi.org/10.5414/CP202424. PMid:26445138.
http://dx.doi.org/10.5414/CP202424...
the risk of bleeding complications during warfarin treatment increases by 90% for the CYP2C9 *2 allele and by 80% for the CYP2C9 *3 variants.

In the present study, it was found that patients’ TTR was low and that they remained about 70% of the time outside the target INR, staying outside the therapeutic range for longer. Although no significant association was observed between median TTR and the polymorphisms analyzed, this data may be a consequence of either sample size or chronic patients, since another study has already shown this association.1313 Wypasek E, Cieśla M, Suder B, Janik Ł, Sadowski J, Undas A. CYP2C9 polymorphism and unstable anticoagulation with warfarin in patients within the first 3 months following heart valve replacement. Adv Clin Exp Med. 2015;24(4):607-14. http://dx.doi.org/10.17219/acem/32577. PMid:26469104.
http://dx.doi.org/10.17219/acem/32577...
In a cohort study conducted in Canada with 1059 patients taking warfarin, the average time in the therapeutic interval was 56% (± 25%) in the three months after start of treatment and 70% (± 21%) in the 3 to 12 months interval. Independent predictors of inadequate anticoagulation control were chronic kidney disease, heart failure, dyslipidemia and age.1414 Perreault S, Shahabi P, Côté R, et al. Rationale, design, and preliminary results of the Quebec Warfarin Cohort Study. Clin Cardiol. 2018;41(5):576-85. http://dx.doi.org/10.1002/clc.22948. PMid:29542828.
http://dx.doi.org/10.1002/clc.22948...

The CYP2C9 and VKORC1 genotypes are among the main determinants of warfarin dose, as well as of the risks for excess anticoagulation and hemorrhage, especially in the initial months of therapy.99 Perini JA, Struchiner CJ, Silva-Assuncao E, et al. Pharmacogenetics of warfarin: development of a dosing algorithm for Brazilian patients. Clin Pharmacol Ther. 2008;84(6):722-8. http://dx.doi.org/10.1038/clpt.2008.166. PMid:18754001.
http://dx.doi.org/10.1038/clpt.2008.166...
In this study, polymorphisms were not associated with bleeding; however, the patients monitored were not aware of their genetic profile and most were chronic warfarin users. Several dose adjustments were likely made on the basis of INR test results due to adverse events at the beginning of treatment.

The present study had limitations. The sample size calculated was achieved, but three subjects were lost to the analysis. The sample was considered too small for other statistical inferences and subgroup analyses. A detailed analysis of potential drug interactions was not performed, nor was an analysis of the influence of the underlying disease on clinical outcomes. On the other hand, the collection of material and monitoring of warfarin users in a local setting can be considered a strong point of this study. These data can contribute to rational and safe use of this drug.

The INR test for follow-up can be performed in outpatient clinics or by the patients themselves at home. In this study, patients performed the tests in the laboratory upon medical request and were followed-up at a Basic Health Unit. In these settings and also in specialized clinics, genetic selection can help to identify patients who need doses different from those recommended for the general population.1515 Benavides F, Grossman N, Poggi H, et al. Efecto de las variantes de VKORC1 y CYP2C9 sobre la dosis de anticoagulantes orales en indivíduos chilenos. Rev Med Chil. 2015;143(11):1369-76. http://dx.doi.org/10.4067/S0034-98872015001100001. PMid:26757860.
http://dx.doi.org/10.4067/S0034-98872015...

Knowledge of the pharmacogenetics of coumarins can help the health team to adjust each patient’s therapeutic dose, thus reducing the risk of bleeding at the beginning of treatment and over the course of treatment with anticoagulants.1616 Biswas M, Bendkhale SR, Deshpande SP, et al. Association between genetic polymorphisms of CYP2C9 and VKORC1 and safety and efficacy of warfarin: Results of a 5 years audit. Indian Heart J. 2018;70(Suppl 3):S13-9. http://dx.doi.org/10.1016/j.ihj.2018.02.005. PMid:30595245.
http://dx.doi.org/10.1016/j.ihj.2018.02....
Genotype-guided warfarin dosing algorithms are a rational approach for optimizing warfarin dosing and potentially reducing adverse events, but improvements to warfarin dosing algorithms between racial/ethnic groups will be necessary for successful clinical implementation of the pharmacogenomics of warfarin.22 Kaye JB, Schultz LE, Steiner HE, Kittles RA, Cavallari LH, Karnes JH. Warfarin pharmacogenomics in diverse populations. Pharmacotherapy. 2017;37(9):1150-63. http://dx.doi.org/10.1002/phar.1982. PMid:28672100.
http://dx.doi.org/10.1002/phar.1982...

CONCLUSION

This study observed an association between these patients’ polymorphisms and the warfarin doses they were taking, although there was no association with adverse events or with the time spent in the therapeutic range in this sample size.

Genetic polymorphism testing of anticoagulated patients is not yet available for Brazilian patients using the public health system and they are only conducted as part of research, as in the present study. There was a high frequency of patients with genetic polymorphisms and, therefore, different responses to use of anticoagulants. Additional studies with larger numbers of patients and cost-benefit studies are needed to justify routine use of these tests in our population.

  • How to cite: Colet C, Botton MR, Schwambach KH, Amador TA, Heineck I. Polymorphism of the CYP2C9 and VKORC1 genes in patients on the public health system of a municipality in Southern Brazil. J Vasc Bras. 2021;20:e20200214. https://doi.org/10.1590/1677-5449.200214
  • Financial support: This study received funding from Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS).
  • The study was carried out at in the city of Ijuí, as part of the doctoral research of the Pharmaceutical Sciences Post Graduation Program, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.

REFERENCES

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    Tavares LC, Marcatto LR, Santos PCJL. Genotype-guided warfarin therapy: current status. Pharmacogenomics. 2018;19(7):667-85. http://dx.doi.org/10.2217/pgs-2017-0207 PMid:29701078.
    » http://dx.doi.org/10.2217/pgs-2017-0207
  • 2
    Kaye JB, Schultz LE, Steiner HE, Kittles RA, Cavallari LH, Karnes JH. Warfarin pharmacogenomics in diverse populations. Pharmacotherapy. 2017;37(9):1150-63. http://dx.doi.org/10.1002/phar.1982 PMid:28672100.
    » http://dx.doi.org/10.1002/phar.1982
  • 3
    Sehgal T, Hira JK, Ahluwalia J, et al. High prevalence of VKORC1*3 (G9041A) genetic polymorphism in north Indians: A study on patients with cardiac disorders on acenocoumarol. Drug Discov Ther. 2015;9(6):404-10. http://dx.doi.org/10.5582/ddt.2015.01066 PMid:26781925.
    » http://dx.doi.org/10.5582/ddt.2015.01066
  • 4
    Botton MR, Bandinelli E, Rohde LEP, Amon LC, Hutz MH. Influence of genetic, biological and pharmacological factors on warfarin dose in a Southern Brazilian population of European ancestry. Br J Clin Pharmacol. 2011;72(3):442-50. http://dx.doi.org/10.1111/j.1365-2125.2011.03942.x PMid:21320153.
    » http://dx.doi.org/10.1111/j.1365-2125.2011.03942.x
  • 5
    Colet CF, Amador TA, Heineck I. Drug interactions and adverse events in a cohort of warfarin users attending public health clinics. Int J Cardiovasc Sci. 2018;32(2):110-7. http://dx.doi.org/10.5935/2359-4802.20180091
    » http://dx.doi.org/10.5935/2359-4802.20180091
  • 6
    Colet CF, Amador TA, Heineck I. Therapeutic itinerary: trajectory for resolution of adverse events of patients using warfarin in Southern Brazil. Braz J Pharm Sci. 2018;54(3):e17738. http://dx.doi.org/10.1590/s2175-97902018000317738
    » http://dx.doi.org/10.1590/s2175-97902018000317738
  • 7
    Schmitt L, Speckman J, Ansell J. Quality assessment of anticoagulation dose management: comparative evaluation of measures of time-in-therapeutic range. J Thromb Thrombolysis. 2003;15(3):213-6. http://dx.doi.org/10.1023/B:THRO.0000011377.78585.63 PMid:14739631.
    » http://dx.doi.org/10.1023/B:THRO.0000011377.78585.63
  • 8
    Al-Eitan LN, Almasri AY, Khasawneh RH. Effects of CYP2C9 and VKORC1 polymorphisms on warfarin sensitivity and responsiveness during the stabilization phase of therapy. Saudi Pharm J. 2019;27(4):484-90. http://dx.doi.org/10.1016/j.jsps.2019.01.011 PMid:31061616.
    » http://dx.doi.org/10.1016/j.jsps.2019.01.011
  • 9
    Perini JA, Struchiner CJ, Silva-Assuncao E, et al. Pharmacogenetics of warfarin: development of a dosing algorithm for Brazilian patients. Clin Pharmacol Ther. 2008;84(6):722-8. http://dx.doi.org/10.1038/clpt.2008.166 PMid:18754001.
    » http://dx.doi.org/10.1038/clpt.2008.166
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    Holbrook A, Schulman S, Witt DM, et al. Evidence-based management of anticoagulant therapy antithrombotic therapy and prevention of thrombosis. Chest. 2012;141(2, Suppl):e152S-e184S. http://dx.doi.org/10.1378/chest.11-2295 PMid:22315259.
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Publication Dates

  • Publication in this collection
    31 May 2021
  • Date of issue
    2021

History

  • Received
    01 Dec 2020
  • Accepted
    31 Jan 2021
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