Impact evaluation of incorporating ABCB1 and CYP4F2 polymorphisms in a genetic-guided warfarin dosing algorithm

Author(s)

Letícia Camargo Tavares

• Document type: Master's Dissertation
• Press: São Paulo.
• Institution: Universidade de São Paulo (USP). Faculdade de Medicina (FM/SBD)
• Defense date: 2019-04-23

Examining board members

Paulo Caleb Júnior de Lima Santos; Amanda Brasil de Freitas; Adriana Castello Costa Girardi; Catarina Segreti Porto

• Advisor: Paulo Caleb Júnior de Lima Santos

Abstract

The coumarin oral anticoagulant warfarin has been widely used for treating and preventing thromboembolic events, which are one of the main causes of mortality worldwide. However, according to genetic and environmental factors, coumarins show high variance in pharmacokinetics and pharmacodynamics, resulting in variable interindividual responses. For supporting warfarin clinical decisions, genetic-guided algorithms have been extensively studied and developed, in order to set personalized therapeutics. In this context, the aims of this master\'s research project were to investigate the association of ABCB1 and CYP4F2 polymorphisms with individual\'s warfarin dose requirements and to assess the impact of the inclusion of these polymorphisms as covariates in the genetic-guided dosing algorithm developed by Santos PC et al. (2015) for the Brazilian population. For this retrospective study, 965 patients enrolled in the Heart Institute (InCor), University of São Paulo Medical School (FMUSP) were involved. Genotyping of ABCB1 c.3435C>T and CYP4F2 c.1297G>A were performed by genomic DNA amplification by polymerase chain reaction (PCR), followed by melting curve analysis (HRM-PCR) and TaqMan® assay, respectively. For statistical analysis, we utilized multiple linear regression approach considering warfarin stable dose as the dependent variable and the ABCB1 and CYP4F2 variants, as well as other genetic, clinical and demographic factors as covariates. Our data suggests that carriers of ABCB1 c.3435C>T genotypes require lower mean warfarin maintenance doses when compared to wild-type individuals (reduction of 2.5 and 4.3 mg/week, respectively for CT and TT genotype carriers). Furthermore, we observed large warfarin dose variability for the subgroup of patients who self-declared themselves as non-white according to ABCB1 genotypes (lowering of 5.5 and 10.2 mg/week, respectively for CT and TT genotype carriers). Finally, we verified that both ABCB1 c.3435C>T and CYP4F2 c.1297G>A polymorphisms were able to contribute to warfarin dose prediction, when associated to other relevant genetic, clinical and demographic data, being statistically significant, improving the algorithm\'s coefficient of determination by 2.6% and explaining an additional of 3.6% of the interindividual warfarin dosage variability. In conclusion, in this study we have demonstrated that the genotyping of ABCB1 c.3435C>T and CYP4F2 c.1297G>A may be relevant for improving the management of warfarin therapeutics in Brazilian patients (AU)

• FAPESP's process: 16/22507-8 - Impact assessment of the inclusion of ABCB1 and CYP4F2 genes polymorphisms in pharmacogenetic-guided algorithm for personalized warfarin dosing
• Grantee: Letícia Camargo Tavares
• Support Opportunities: Scholarships in Brazil - Master