Warfarina y raza

  • Paula García Universidad Militar Nueva Granada, Bogotá, Colombia
  • Nicoll Mejía Universidad Militar Nueva Granada, Bogotá, Colombia
  • Lina Sofía Romero Universidad Militar Nueva Granada, Bogotá, Colombia
  • Cristian Alarcón Universidad Militar Nueva Granada, Bogotá, Colombia
  • Rafael López Universidad Militar Nueva Granada, Bogotá, Colombia
  • Ricardo Cifuentes Universidad Militar Nueva Granada, Bogotá, Colombia https://orcid.org/0000-0003-3390-341X
Palabras clave: farmacogenética, algoritmos, etnicidad, pruebas genéticas, medicina de precisión, warfarina

Resumen

Se sabe que la raza afecta la capacidad de predicción farmacogenética de la warfarina. Se reconoce a VKORC1 como el principal modulador de las diferencias étnicas en la respuesta a la warfarina; sin embargo, permanecen sin explicación hallazgos como la menor sensibilidad a variantes en este gen en afroamericanos. Igualmente, se reconoce a CYP2C9 como el principal gen en su eliminación, . Por esta razón, con la pretensión de entender mejor la respuesta a la warfarina se realizó una revisión sistemática de la literatura con el fin de revelar variantes génicas que mejoren la comprensión de la diferente respuesta a este fármaco dependiente de la raza. Se encontró que hay variantes génicas cuya reciente revelación mejora la comprensión de la respuesta no solo relacionadas con dosificación, sino con efectos clínicos como la tendencia a hemorragias tanto en los genes descritos como VKORC1 y CYP2C9, pero también en otras partes del genoma evidenciando la complejidad de la respuesta a este medicamento. En consecuencia, se plantea la posibilidad de desarrollar nuevos algoritmos con mayor capacidad de predicción adicionándoles las nuevas variantes génicas, mediante un enfoque estratificado o uno expandido. Estos desarrollos pueden ayudarse de nuevas tecnologías como el aprendizaje de máquina o la posibilidad de determinar objetivamente la raza mediante estrategias genómicas.

Biografía del autor/a

Paula García, Universidad Militar Nueva Granada, Bogotá, Colombia

Estudiante de Medicina, Universidad Militar Nueva Granada, Bogotá, Colombia

Nicoll Mejía, Universidad Militar Nueva Granada, Bogotá, Colombia

Estudiante de Medicina de la Universidad Militar Nueva Granada, Bogotá, Colombia

Lina Sofía Romero, Universidad Militar Nueva Granada, Bogotá, Colombia

Estudiante de Medicina de la Universidad Militar Nueva Granada, Bogotá, Colombia

Cristian Alarcón, Universidad Militar Nueva Granada, Bogotá, Colombia

Estudiante de Medicina de la Universidad Militar Nueva Granada, Bogotá, Colombia

Rafael López, Universidad Militar Nueva Granada, Bogotá, Colombia

Estudiante de Medicina de la Universidad Militar Nueva Granada, Bogotá, Colombia

Ricardo Cifuentes, Universidad Militar Nueva Granada, Bogotá, Colombia

Médico cirujano, especialista en Gerencia de la Salud Pública, M.Sc. en Genética Humana, M.Sc. en Informática Médica; estudiante del Doctorado en Bioética, de la Universidad Militar Nueva Granada, Bogotá, Colombia. Profesor asociado, de la Universidad Militar Nueva Granada.

Biografía del autor/a

Paula García, Universidad Militar Nueva Granada, Bogotá, Colombia

Estudiante de Medicina, Universidad Militar Nueva Granada, Bogotá, Colombia

Nicoll Mejía, Universidad Militar Nueva Granada, Bogotá, Colombia

Estudiante de Medicina de la Universidad Militar Nueva Granada, Bogotá, Colombia

Lina Sofía Romero, Universidad Militar Nueva Granada, Bogotá, Colombia

Estudiante de Medicina de la Universidad Militar Nueva Granada, Bogotá, Colombia

Cristian Alarcón, Universidad Militar Nueva Granada, Bogotá, Colombia

Estudiante de Medicina de la Universidad Militar Nueva Granada, Bogotá, Colombia

Rafael López, Universidad Militar Nueva Granada, Bogotá, Colombia

Estudiante de Medicina de la Universidad Militar Nueva Granada, Bogotá, Colombia

Ricardo Cifuentes, Universidad Militar Nueva Granada, Bogotá, Colombia

Médico cirujano, especialista en Gerencia de la Salud Pública, M.Sc. en Genética Humana, M.Sc. en Informática Médica; estudiante del Doctorado en Bioética, de la Universidad Militar Nueva Granada, Bogotá, Colombia. Profesor asociado, de la Universidad Militar Nueva Granada.

Referencias bibliográficas

Bernaitis N, Ching CK, Chen L, Hon JS, Teo SC, Davey AK, et al. The sex, age, medical history, treatment, tobacco use, race risk (SAMe TT2R2) score predicts warfarin control in a Singaporean population. J Stroke Cerebrovasc Dis. 2017/00;26(1):64-9. https://doi.org/10.1016/j.jstrokecerebrovasdis.2016.08.030

Absher RK, Moore ME, Parker MH. Patient-specific factors predictive of warfarin dosage requirements. Ann Pharmacother. 2002 oct.;36(10):1512-7. https://doi.org/10.1345/aph.1C025

Dang MT, Hambleton J, Kayser SR. The influence of ethnicity on warfarin dosage requirement. Ann Pharmacother. 2005 jun.;39(6):1008-12. https://doi.org/10.1345/aph.1E566

Gan GG, Teh A, Goh KY, Chong HT, Pang KW. Racial background is a determinant factor in the maintenance dosage of warfarin. Int J Hematol. 2003 ago.;78(1):84-6. https://doi.org/10.1007/bf02983247

El Rouby S, Mestres CA, LaDuca FM, Zucker ML. Racial and ethnic differences in warfarin response. J Heart Valve Dis. 2004/02;13(1):15-21.

Limdi NA, Brown TM, Shendre A, Liu N, Hill CE, Beasley TM. Quality of anticoagulation control and hemorrhage risk among African American and European American warfarin users. Pharmacogenet Genomics. 2017 oct.;27(10):347-55. https://doi.org/10.1097/FPC.0000000000000298

Sridharan K, Sivaramakrishnan G. A network meta-analysis of CYP2C9, CYP2C9 with VKORC1 and CYP2C9 with VKORC1 and CYP4F2 genotype-based warfarin dosing strategies compared to traditional. J Clin Pharm Ther. 2021/00;46(3):640-8. https://doi.org/10.1111/jcpt.13334

Limdi NA, Beasley TM, Crowley MR, Goldstein JA, Rieder MJ, Flockhart DA, et al. VKORC1 polymorphisms, haplotypes and haplotype groups on warfarin dose among African-Americans and European-Americans. Pharmacogenomics. 2008 oct.;9(10):1445-58. https://doi.org/10.2217/14622416.9.10.1445

Lee MTM, et al. VKORC1 haplotypes in five East-Asian populations and Indians. Pharmacogenomics. 2009 oct.;10(10):1609-16. https://doi.org/10.2217/pgs.09.80

Lee MT, Chen CH, Chuang HP, Lu LS, Chou CH, Chen YT, et al. VKORC1 haplotypes and their impact on the inter-individual and inter-ethnical variability of oral anticoagulation. Thromb Haemost. 2005 nov.;94(4):773-9. https://doi.org/10.1160/TH05-04-0290

Tabrizi AR, Zehnbauer BA, Borecki IB, McGrath SD, Buchman TG, Freeman BD. The frequency and effects of cytochrome P450 (CYP) 2C9 polymorphisms in patients receiving warfarin. J Am Coll Surg. 2002 mzo.;194(3):267-73. https://doi.org/10.1016/s1072-7515(01)01163-2

Wiwanitkit V. Pharmacogenomic effect of cytochrome P450 2C9 polymorphisms in different populations. Clin Appl Thromb Hemost. 2006 may.;12(2):219-22. https://doi.org/10.1177/107602960601200211

Scott SA, Jaremko M, Lubitz SA, Kornreich R, Halperin JL, Desnick RJ. CYP2C9*8 is prevalent among African-Americans: implications for pharmacogenetic dosing. Pharmacogenomics. 2009 ago.;10(8):1243-55. https://doi.org/10.2217/pgs.09.71

Liu Y, Jeong H, Takahashi H, Drozda K, Patel SR, Shapiro NL, et al. Decreased warfarin clearance associated with the CYP2C9 R150H (*8) polymorphism. Clin Pharmacol Ther. 2012 abr.;91(4):660-5. https://doi.org/10.1038/clpt.2011.269

Kealey C, Chen Z, Christie J, Thorn CF, Whitehead AS, Price M, et al. Warfarin and cytochrome P450 2C9 genotype: possible ethnic variation in warfarin sensitivity. Pharmacogenomics. 2007 mzo.;8(3):217-25. https://doi.org/10.2217/14622416.8.3.217

Shin J, Kayser SR. Accuracy of the pharmacogenetic dosing table in the warfarin label in predicting initial therapeutic warfarin doses in a large, racially diverse cohort. Pharmacotherapy. 2011 nov.;31(9):863-70. https://doi.org/10.1592/phco.31.9.863

Shin J, Cao D. Comparison of warfarin pharmacogenetic dosing algorithms in a racially diverse large cohort. Pharmacogenomics. 2010 dic.;12(1):125-34. https://doi.org/10.2217/pgs.10.168

Shaw PB, Donovan JL, Tran MT, Lemon SC, Burgwinkle P, Gore J. Accuracy assessment of pharmacogenetically predictive warfarin dosing algorithms in patients of an academic medical center anticoagulation clinic. J Thromb Thrombolysis. 2010 ago.;30(2):220-5. https://doi.org/10.1007/s11239-010-0459-3

Daneshjou R, Gamazon ER, Burkley B, Cavallari LH, Johnson JA, Klein TE, et al. Genetic variant in folate homeostasis is associated with lower warfarin dose in African Americans. Blood. 2014 oct 2;124(14):2298-305. https://doi.org/10.1182/blood-2014-04-568436

Murata M. [Possible application of pharmacogenomics to warfarin therapy]. Rinsho Byori. 2011/08;59(6):594-7.

Schelleman H, Chen Z, Kealey C, Whitehead AS, Christie J, Price M, et al. Warfarin response and vitamin K epoxide reductase complex 1 in African Americans and Caucasians. Clin Pharmacol Ther. 2007 may.;81(5):742-7. https://doi.org/10.1038/sj.clpt.6100144

Limdi NA, Arnett DK, Goldstein JA, Beasley TM, McGwin G, Adler BK, et al. Influence of CYP2C9 and VKORC1 on warfarin dose, anticoagulation attainment and maintenance among European-Americans and African-Americans. Pharmacogenomics. 2008 may.;9(5):511-26. https://doi.org/10.2217/14622416.9.5.511

Popay J, Roberts H, Sowden A, Petticrew M. Guidance on the conduct of narrative synthesis in systematic reviews: A product from the ESRC Methods Programme 2006. https://doi.org/10.13140/2.1.1018.4643

Ohara M, Suzuki Y, Shinohara S, Gong IY, Schmerk CL, Tirona RG, et al. Differences in warfarin pharmacodynamics and predictors of response among three racial populations. Clin Pharmacokinet. 2019 mzo.;58(8):1077-89. https://doi.org/10.1007/s40262-019-00745-5

Mak M, Lam C, Pineda SJ, Lou M, Xu LY, Meeks C, et al. Pharmacogenetics of warfarin in a diverse patient population. J Cardiovasc Pharmacol Ther. 2019 nov.;24(6):521-33. https://doi.org/10.1177/1074248419843530

Takahashi H, Ohara M, Shibata S, Lee MT, Cavallari LH, Nutescu EA, et al. Correlations between the enantio- and regio-selective metabolisms of warfarin. Pharmacogenomics. 2017 ene.;18(2):133-42. https://doi.org/10.2217/pgs-2016-0149

Mili FD, Allen T, Wadell PW, Hooper WC, Staercke C, Bean CJ, et al. VKORC1-1639A allele influences warfarin maintenance dosage among Blacks receiving warfarin anticoagulation: a retrospective cohort study. Future Cardiol. 2018 ene.;14(1):15-26. https://doi.org/10.2217/fca-2017-0025

Limdi NA, Brown TM, Yan Q, Thigpen JL, Shendre A, Liu N, et al. Race influences warfarin dose changes associated with genetic factors. Blood. 2015/05;126(4):539-45. https://doi.org/10.1182/blood-2015-02-627042

Kubo K, Ohara M, Tachikawa M, Cavallari LH, Lee MTM, Wen MS, et al. Population differences in S-warfarin pharmacokinetics among African Americans, Asians and whites: their influence on pharmacogenetic dosing algorithms. Pharmacogenomics J. 2017 dic.;17(6):494-500. https://doi.org/10.1038/tpj.2016.57

Shendre A, Brown TM, Liu N, Hill CE, Beasley TM, Nickerson DA, et al. Race-Specific Influence of CYP4F2 on dose and risk of hemorrhage among warfarin users. Pharmacotherapy. 2016 mzo.;36(3):263-72. https://doi.org/10.1002/phar.1717

Hernandez W, Gamazon ER, Aquino-Michaels K, Smithberger E, O’Brien TJ, Harralson AF, et al. Integrated analysis of genetic variation and gene expression reveals novel variant for increased warfarin dose requirement in African Americans. J Thromb Haemost. 2017 abr.;15(4):735-43. https://doi.org/10.1111/jth.13639

Drozda K, Wong S, Patel SR, Bress AP, Nutescu EA, Kittles RA, et al. Poor warfarin dose prediction with pharmacogenetic algorithms that exclude genotypes important for African Americans. Pharmacogenet Genomics. 2015 feb.;25(2):73-81. https://doi.org/10.1097/FPC.0000000000000108

Nagai R, Ohara M, Cavallari LH, Drozda K, Patel SR, Nutescu EA, et al. Factors influencing pharmacokinetics of warfarin in African-Americans: implications for pharmacogenetic dosing algorithms. Pharmacogenomics. 2015;16(3):217-25. https://doi.org/10.2217/pgs.14.160

Ndadza A, Cindi Z, Makambwa E, Chimusa E, Wonkam A, Kengne AP, et al. Warfarin dose and CYP2C gene cluster: An African ancestral-specific variant is a strong predictor of dose in black South African patients. OMICS. 2019 ene.;23(1):36-44. https://doi.org/10.1089/omi.2018.0174

Hernandez W, Aquino-Michaels K, Drozda K, Patel S, Jeong Y, Takahashi H, et al. Novel single nucleotide polymorphism in CYP2C9 is associated with changes in warfarin clearance and CYP2C9 expression levels in African Americans. Transl Res. 2015 jun.;165(6):651-7. https://doi.org/10.1016/j.trsl.2014.11.006

Bargal SA, Kight JN, Augusto de Oliveira F, Shahin MH, Langaee T, Gong Y, et al. Implications of polymorphisms in the BCKDK and GATA-4 gene regions on stable warfarin dose in African Americans. Clin Transl Sci. 2021 mzo.;14(2):492-6. https://doi.org/10.1111/cts.12939

Liu N, Irvin MR, Zhi D, Patki A, Beasley TM, Nickerson DA, et al. Influence of common and rare genetic variation on warfarin dose among African-Americans and European-Americans using the exome array. Pharmacogenomics. 2017 jul.;18(11):1059-73. https://doi.org/10.2217/pgs-2017-0046

Iwuchukwu OF, Ramirez AH, Shi Y, Bowton EA, Kawai VK, Schildcrout JS, et al. Genetic determinants of variability in warfarin response after the dose-titration phase. Pharmacogenet Genomics. 2016 nov.;26(11):510-6. https://doi.org/10.1097/FPC.0000000000000244

De T, Alarcon C, Hernandez W, Liko I, Cavallari LH, Duarte JD, et al. Association of genetic variants with warfarin-associated bleeding among patients of African descent. JAMA. 2018 oct 23;320(16):1670-7. https://doi.org/10.1001/jama.2018.14955

Zhang H, Alarcon C, Cavallari LH, Nutescu E, Carvill GL, Perera MA, et al. Genomewide association study identifies copy number variants associated with warfarin dose response and risk of venous thromboembolism in African Americans. Clin Pharmacol Ther. 2023 mzo.;113(3):624-33. https://doi.org/10.1002/cpt.2820

Gottlieb A, Daneshjou R, DeGorter M, Bourgeois S, Svensson PJ, Wadelius M, et al. Cohort-specific imputation of gene expression improves prediction of warfarin dose for African Americans. Genome Med. 2017 nov 24;9(1):98. https://doi.org/10.1186/s13073-017-0495-0

Gray IC, Nobile C, Muresu R, Ford S, Spurr NK. A 2.4-megabase physical map spanning the CYP2C gene cluster on chromosome 10q24. Genomics. 1995 jul 20;28(2):328-32. https://doi.org/10.1006/geno.1995.1149

Limdi NA, McGwin G, Goldstein JA, Beasley TM, Arnett DK, Adler BK, et al. Influence of CYP2C9 and VKORC1 1173C/T genotype on the risk of hemorrhagic complications in African-American and European-American patients on warfarin. Clin Pharmacol Ther. 2008 feb.;83(2):312-21. https://doi.org/10.1038/sj.clpt.6100290

Yang L, Ge W, Yu F, Zhu H. Impact of VKORC1 gene polymorphism on interindividual and interethnic warfarin dosage requirement—a systematic review and meta analysis. Thromb Res. 2010/00;125(4):e159-66. https://doi.org/10.1016/j.thromres.2009.10.017

Suarez-Kurtz G, Amorim A, Damasceno A, Hutz MH, de Moraes MO, Ojopi EB, et al. VKORC1 polymorphisms in Brazilians: comparison with the Portuguese and Portuguese-speaking Africans and pharmacogenetic implications. Pharmacogenomics. 2010 sept.;11(9):1257-67. https://doi.org/10.2217/pgs.10.89

Suarez-Kurtz G, Botton MR. Pharmacogenomics of warfarin in populations of African descent. Br J Clin Pharmacol. 2013 feb.;75(2):334-46. https://doi.org/10.1111/j.1365-2125.2012.04354.x

Price ET. Warfarin pharmacogenomics and African ancestry. Blood. 2015 jul.;126(4):434-6. https://doi.org/10.1182/blood-2015-06-649509

Shendre A, Dillon C, Limdi NA. Pharmacogenetics of warfarin dosing in patients of African and European ancestry. Pharmacogenomics. 2018 nov.;19(17):1357-71. https://doi.org/10.2217/pgs-2018-0146

Alzubiedi S, Saleh MI. Pharmacogenetic-guided Warfarin Dosing Algorithm in African-Americans. J Cardiovasc Pharmacol. 2016 ene.;67(1):86-92. https://doi.org/10.1097/FJC.0000000000000317

Hernandez W, Danahey K, Pei X, Yeo KJ, Leung E, Volchenboum SL, et al. Pharmacogenomic genotypes define genetic ancestry in patients and enable population-specific genomic implementation. Pharmacogenomics J. 2020 feb.;20(1):126-35. https://doi.org/10.1038/s41397-019-0095-z

Ramirez AH, Shi Y, Schildcrout JS, Delaney JT, Xu H, Oetjens MT, et al. Predicting warfarin dosage in European-Americans and African-Americans using DNA samples linked to an electronic health record. Pharmacogenomics. 2012 mzo.;13(4):407-18. https://doi.org/10.2217/pgs.11.164

Suarez-Kurtz G, Struchiner CJ. Differential effects of predictors of warfarin dose according to race/color categories in the admixed Brazilian population. Pharmacogenet Genomics. 2017 mzo.;27(5):210-1. https://doi.org/10.1097/FPC.0000000000000273

Wiley LK, Vanhouten JP, Samuels DC, Aldrich MC, Roden DM, Peterson JF, et al. Strategies for equitable pharmacogenomic-guided warfarin dosing among European and African American individuals in a clinical population. Pac Symp Biocomput. 2017;22:545-56. https://doi.org/10.1142/9789813207813_0050

Perera MA, Cavallari LH, Limdi NA, Gamazon ER, Konkashbaev A, Daneshjou R, et al. Genetic variants associated with warfarin dose in African-American individuals: a genome-wide association study. Lancet. 2013 ago 31;382(9894):790-6. https://doi.org/10.1016/S0140-6736(13)60681-9

Cosgun E, Limdi NA, Duarte CW. High-dimensional pharmacogenetic prediction of a continuous trait using machine learning techniques with application to warfarin dose prediction in African Americans. Bioinformatics. 2011 may 15;27(10):1384-9. https://doi.org/10.1093/bioinformatics/btr159

Liu R, Li X, Zhang W, Zhou HH. Comparison of nine statistical model based warfarin pharmacogenetic dosing algorithms using the racially diverse international warfarin pharmacogenetic consortium cohort database. PLoS One. 2015 ago.;10(8):e0135784. https://doi.org/10.1371/journal.pone.0135784

Publicado
2025-12-29
Sección
Artículos de Revisión

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