利用两样本孟德尔随机化方法探究茶摄入量与膀胱癌发病风险的因果关系  

Using two sample Mendelian randomization method to explore the causal relationship between tea intake and the risk of bladder cancer

作　　者：柴红强 庞磊[2] 吴明 李飞[1] 邵晋凯[2] CHAI Hongqiang;PANG Lei;WU Ming;LI Fei;SHAO Jinkai(The Fifth Clinical Medical College of Shanxi Medical University,Shanxi Taiyuan 030012,China;Department of Urology,Shanxi Provincial People′s Hospital,Shanxi Taiyuan 030012,China)

机构地区：[1]山西医科大学第五临床医学院,山西太原030012 [2]山西省人民医院泌尿外科,山西太原030012

出　　处：《现代肿瘤医学》2023年第18期3450-3454,共5页Journal of Modern Oncology

基　　金：山西省卫生健康委科研课题(编号:2022073)。

摘　　要：目的:利用两样本孟德尔随机化方法探究茶摄入量与膀胱癌发病风险之间的因果关系。方法:采用公共数据库中的茶摄入量全基因组关联分析数据和膀胱癌全基因组关联分析数据,通过逆方差加权法、MR-Egger回归分析、加权中位数分析等两样本孟德尔随机化方法来评估茶摄入量与膀胱癌之间的因果关系。最后进行敏感性分析来评估结果的稳定性和可靠性。结果:逆方差加权法(OR=0.999,95%CI:0.995~1.000,P=0.46520)、MR-Egger回归分析(OR=1.000,95%CI:0.984~1.017,P=0.94525)、加权中位数方法(OR=0.998,95%CI:0.993~1.003,P=0.49728)分析均显示茶摄入量与膀胱癌发病风险之间没有因果关系(P>0.05)。结论:孟德尔随机化结果显示茶摄入量与膀胱癌发病风险之间无因果关系。Objective:To assess the causal effect of tea intake on bladder cancer using the two-sample Mendelian randomization(2-sample-MR,2SMR)method.Methods:Based on the data from a large-scale tea intake genome-wide association study(GWAS)and the GWAS of bladder cancer,we investigated the causality between tea intake and bladder cancer using an inverse variance weighted(IVW)method,MR-Egger analysis and weighted median method.Finally,sensitivity analysis is conducted to evaluate the stability and reliability of the results.Results:Inverse variance weighted method(OR=0.999,95%CI:0.995~1.000,P=0.46520),MR-Egger analysis(OR=1.000,95%CI:0.984~1.017,P=0.94525),and weighted median method(OR=0.998,95%CI:0.993~1.003,P=0.49728)showed no causal relationship between tea intake and bladder cancer(P>0.05).Conclusion:This result of two-sample Mendelian randomization analysis reveals no casual effect between tea intake and bladder cancer.

关 键 词：孟德尔随机化 膀胱癌 因果推断 全基因组关联研究 

分 类 号：R737.14[医药卫生—肿瘤]