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Updated: Jun 12, 2025
07:15
Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
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Accuracy of an internationally validated genetic-guided warfarin dosing algorithm compared to a clinical algorithm in
Amr M Fahmi1, Ahmed El Bardissy1, Mohamed Omar Saad1
1Pharmacy Department, Hamad Medical Corporation, Doha, Qatar.
Current Problems in Cardiology
|September 24, 2024
Summary
Genetic variants in CYP2C9 and VKORC1 significantly impact warfarin dosing in Arab patients. Genetic warfarin dosing (GWD) algorithms provide more accurate warfarin dose estimations than clinical dosing alone.
Area of Science:
- Pharmacogenomics
- Clinical Pharmacology
- Genetics
Background:
- Warfarin is a widely prescribed anticoagulant with a narrow therapeutic index.
- Individualized warfarin dosing is crucial to optimize efficacy and minimize bleeding risk.
- Genetic factors, including CYP2C9 and VKORC1 gene variants, are known to influence warfarin metabolism and response.
Purpose of the Study:
- To investigate the impact of CYP2C9*2, *3, VKORC1-1639 G>A, and CYP4F2*3 variants on warfarin dose requirements in an Arab population.
- To compare the accuracy of clinical warfarin dosing (CWD) versus genetic warfarin dosing (GWD) algorithms for initiating warfarin therapy.
Main Methods:
- A cohort of 130 Arab patients initiating warfarin therapy was studied.
- Genotyping for VKORC-1639 G>A, CYP2C9*2, CYP2C9*3, and CYP4F2*3 was performed.
- Warfarin doses were calculated using CWD and GWD algorithms, and their accuracy was compared using median absolute error (MAE) and percentage of doses within 20% of the actual dose.
Main Results:
- CYP2C9 reduced function alleles were associated with significantly lower weekly warfarin doses (p=0.006).
- The VKORC1 AA genotype also required significantly lower weekly warfarin doses compared to AG and GG genotypes (p<0.001).
- GWD algorithms demonstrated significantly lower MAE compared to CWD (8.1 vs 12.4, p<0.001).
Conclusions:
- CYP2C9 and VKORC1 genetic variants are significant determinants of warfarin dose in the Arab population.
- Integrating genetic information with clinical factors improves warfarin dose estimation accuracy compared to clinical factors alone.
- GWD algorithms show superior performance in warfarin dose prediction in this cohort.
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