Tham Lai-San, Goh Boon-Cher, Nafziger Anne, Guo Jia-Yi, Wang Ling-Zhi, Soong Richie, Lee Soo-Chin
Department of Haematology-Oncology, National University Hospital, and Translational Interface, Oncology Research Institute, Singapore.
Clin Pharmacol Ther. 2006 Oct;80(4):346-55. doi: 10.1016/j.clpt.2006.06.009.
Because of the unique lack of genetic diversity despite the multiethnicity in the Asian population, we hypothesize that single-nucleotide polymorphisms in cytochrome P450 (CYP) 2C9 (CYP2C9*3) and vitamin K epoxide reductase complex subunit 1 (VKORC1) at position 381, used to infer VKORC1haplotype in combination with demographic factors, can accurately predict warfarin doses. The aims of this study were to derive a pharmacogenetics-based dosing algorithm by use of retrospective information and to validate it through a data-splitting method in a separate cohort of equal size.
We used 215 records of warfarin patients recruited into a CYP2C9/VKORC1 genotyping study to perform this analysis. Univariate analyses for individual predictors, including age, weight, gender, serum albumin concentration, ethnic group, international normalized ratio, and CYP2C9 and VKORC1 381 genotypes, were conducted to select variables with P < .1 for further inclusion into the multivariate regression analysis. In the final model only predictors reaching a statistical significance of P < .05 were retained.
Data from 107 subjects undergoing maintenance warfarin therapy with an international normalized ratio stabilized between 2 and 3 were used to derive the final model, as an exponential function of age, weight, CYP2C9*3 allele, and VKORC1 381 CC and TC genotypes, and this model accounted for 60.2% of the variability in daily warfarin dose requirement. The model was validated in a separate cohort of 108 subjects and showed a mean underestimation of 0.23 +/- 1.21 mg/d.
Warfarin dose requirements in Asians can be accurately predicted by use of a combination of patient demographics and a simplified genotyping approach for single variants in CYP2C9 and VKORC1.
尽管亚洲人群具有多民族性,但基因多样性却独特地匮乏,因此我们推测,细胞色素P450(CYP)2C9(CYP2C9*3)的单核苷酸多态性以及第381位的维生素K环氧化物还原酶复合体亚基1(VKORC1),与人口统计学因素结合用于推断VKORC1单倍型,能够准确预测华法林剂量。本研究的目的是利用回顾性信息推导基于药物遗传学的给药算法,并通过数据拆分方法在一个规模相当的独立队列中对其进行验证。
我们使用了纳入CYP2C9/VKORC1基因分型研究的215例华法林患者的记录来进行此项分析。对包括年龄、体重、性别、血清白蛋白浓度、种族、国际标准化比值以及CYP2C9和VKORC1 381基因型在内的各个预测因素进行单因素分析,以选择P < 0.1的变量进一步纳入多因素回归分析。在最终模型中,仅保留达到P < 0.05统计学显著性的预测因素。
来自107例接受华法林维持治疗且国际标准化比值稳定在2至3之间的受试者的数据用于推导最终模型,该模型是年龄、体重、CYP2C9*3等位基因以及VKORC1 381 CC和TC基因型的指数函数,此模型解释了每日华法林剂量需求变异性的60.2%。该模型在一个由108例受试者组成的独立队列中得到验证,显示平均低估0.23 +/- 1.21 mg/d。
通过结合患者人口统计学信息以及针对CYP2C9和VKORC1单个变异体的简化基因分型方法,可以准确预测亚洲人群的华法林剂量需求。