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作 者:卜宁 张露[1] 夏季 高巍[1] BU Ning;ZHANG Lu;XIA Ji;GAO Wei(Department of Anesthesiology and Operation,First Affiliated Hospital of Xi’an Jiaotong University,Xi’an,Shaanxi 710061,China)
机构地区:[1]西安交通大学第一附属医院麻醉手术部,西安710061
出 处:《重庆医学》2025年第1期63-69,75,共8页Chongqing Medical Journal
基 金:陕西省“高层次人才特殊支持”项目(陕组通字[2020]44号)。
摘 要:目的通过孟德尔随机化(MR)研究探究2型糖尿病(T2DM)与肺功能的因果关联。方法基于公开发表的全基因组关联研究(GWAS)数据库中提取T2DM与用力肺活量(FVC)、1 s用力呼气量(FEV1)相关的单核苷酸多态性位点(SNP)作为工具变量(IV),采用随机效应逆方差加权法(IVW)作为主要方法分析T2DM与FVC、FEV1的双向因果关系,采用MR-Egger、加权中位数法(WM)、加权模式、简单模式及MR-PRESSO等方法验证和校正统计结果。结果MR分析显示,T2DM与FVC(OR=0.97,95%CI:0.94~0.99,P=0.01)、FEV1(OR=0.95,95%CI:0.91~0.98,P=0.01)存在因果关系。FVC与T2DM存在因果关系(OR=0.69,95%CI:0.52~0.92,P=0.01),FEV1与T2DM不存在因果关系(OR=0.92,95%CI:0.70~1.19,P=0.52)。结论T2DM和肺功能存在一定的因果关联。Objective To study the causal relationship between type 2 diabetes mellitus(T2DM)and lung function by using Mendelian randomization(MR).Methods Single nucleotide polymorphism sites(SNP)correlated with T2DM,FVC and FEV1 were extracted from the published genome-wide association study(GWAS)database as the instrumental variables.The random effect inverse-variance weighting method(IVW)was used as the primary method for analyzing the bidirectionary causal relationship between T2DM with FVC and FEV1.Meanwhile,the MR-Egger,weighted median method(WM),weighted mode,simple mode and MR-PRESSO method were used to verify and correct the statistical results.Results The MR analysis showed that T2DM had the causal relationship with FVC(OR=0.97,95%CI:0.94-0.99,P=0.01)and FEV1(OR=0.95,95%CI:0.91-0.98,P=0.01).There was a causal relationship between FVC and T2DM(OR=0.69,95%CI:0.52-0.92,P=0.01),but no causal relationship existed between FEV1 and T2DM(OR=0.92,95%CI:0.70-1.19,P=0.52).Conclusion T2DM has a certain causal relationship with the lung function.
关 键 词:2型糖尿病 肺功能 两样本双向孟德尔随机化 因果关联
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