Estimation of warfarin maintenance dose based on VKORC1 (-1639 G>A) and CYP2C9 genotypes
- PMID: 17510308
- DOI: 10.1373/clinchem.2006.078139
Estimation of warfarin maintenance dose based on VKORC1 (-1639 G>A) and CYP2C9 genotypes
Abstract
Background: CYP2C9 polymorphisms are associated with decreased S-warfarin clearance and lower maintenance dosage. Decreased expression of VKORC1 resulting from the -1639G>A substitution has also been implicated in lower warfarin dose requirements. We investigated the additional contribution of this polymorphism to the variance in warfarin dose.
Methods: Sixty-five patients with stable anticoagulation were genotyped for CYP2C9 and VKORC1 with Tag-It allele-specific primer extension technology. Plasma S-warfarin concentrations and warfarin maintenance dose were compared among patients on the basis of the VKORC1 -1639G>A genotype.
Results: Eighty percent of CYP2C9*1/*1 patients stabilized on <4.0 mg/day warfarin had at least 1 VKORC1 -1639A allele. Mean warfarin doses (SD) were 6.7 (3.3), 4.3 (2.2), and 2.7 (1.2) mg/day for patients with the VKORC1 -1639GG, GA, and AA genotypes, respectively. Steady-state plasma concentrations of S-warfarin were lowest in patients with the VKORC1 -1639AA genotype and demonstrated a positive association with the VKORC1 -1639G allele copy number (trend P = 0.012). A model including VKORC1 and CYP2C9 genotypes, age, sex, and body weight accounted for 61% of the variance in warfarin daily maintenance dose.
Conclusions: The VKORC1 -1639A allele accounts for low dosage requirements of most patients without a CYP2C9 variant. Higher plasma S-warfarin concentrations corresponding to increased warfarin maintenance dosages support a hypothesis for increased expression of the VKORC1 -1639G allele. VKORC1 and CYP2C9 genotypes, age, sex, and body weight account for the majority of variance in warfarin dose among our study population.
Comment in
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Genetic factors for warfarin dose prediction.Clin Chem. 2007 Sep;53(9):1721-2. doi: 10.1373/clinchem.2007.092338. Clin Chem. 2007. PMID: 17712016 No abstract available.
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