Effects of rare CYP2C9 alleles on stable warfarin doses in Chinese Han patients with atrial fibrillation.
Dongxu WangDa-Peng DaiHualan WuJia ChongYou LüRuoyun YinXinlong ZhaoAnxu ZhaoJiefu YangHao ChenPublished in: Pharmacogenomics (2020)
Aim: Gene polymorphisms are critical in warfarin dosing variation. Here, the role of rare CYP2C9 alleles on warfarin doses in Chinese Han patients was investigated. Methods: A retrospective study recruited 681 warfarin treated atrial fibrillation patients. The genetic and clinical data were collected. Dose-related variables were selected by univariate analyses and the warfarin-dosing algorithm was derived by multivariate regression analysis. Results: Three rare CYP2C9 alleles (CYP2C9*13, *16 and *60) were associated with lower stable doses. Inclusion of the rare CYP2C9 alleles in the prediction model added an extra 3.7% warfarin dose predictive power. Conclusion: CYP2C9*13, *16 and *60 was associated with lower stable warfarin doses in Chinese patients. The algorithm including rare CYP2C9 alleles tends to more accurately predict stable warfarin doses.
Keyphrases
- atrial fibrillation
- oral anticoagulants
- direct oral anticoagulants
- venous thromboembolism
- end stage renal disease
- left atrial
- left atrial appendage
- catheter ablation
- newly diagnosed
- ejection fraction
- chronic kidney disease
- machine learning
- heart failure
- peritoneal dialysis
- prognostic factors
- percutaneous coronary intervention
- gene expression
- acute coronary syndrome
- deep learning
- data analysis
- electronic health record
- artificial intelligence
- copy number
- patient reported