Objective To validate the performance of multiple warfarin pharmacogenetic algorithms in Chinese patients under low intensity warfarin anticoagulation. Methods We sought to compare the performances of 8 eligible pharmacogenetic algorithms in a cohort of Chinese patients (n＝282) under low intensity warfarin anticoagulation with target international normalized ratio (INR) ranged from 1.6 to 2.5. The performance of each algorithm was evaluated by calculating the percentage of patients whose predicted dose fell within 20% of their actual therapeutic dose (percentage within 20%), and the mean absolute error (MAE) between each predicted dose and actual stable dose. Results In the entire cohort, the pharmacogenetic algorithms could predict warfarin dose with the average MAE of (0.87±0.17) mg/d (0.73～1.17 mg/d), and the average percentage within 20% of (43.8%±8.1%) (29.1%～52.1%). By pairwise comparison, warfarin dose prediction was significantly more accurate with the algorithms derived from Asian patients (48.6%～50.0%) than those from Caucasian patients (29.1%～39.7%; OR: 1.61～3.36, P≤0.02). Algorithms with additional covariates of INR values or CYP4F2*3 performed better than those without the covariates (adding INR: OR＝1.71 (1.08～2.72), P＝0.029; adding CYP4F2*3: OR＝2.67(1.41～5.05), P＝0.004). Conclusions Algorithms derived from Asian patients (48.6%～50.0%) can predict more accurately than those from Caucasian patients in the Chinese patients. Construction of a refinement pharmacogenetic algorithm integrating 3 genotypes (CYP2C9, VKORC1 and CYP4F2) and INR data should be warranted to improve the warfarin dose prediction in such patients.