基于孟德尔随机化探究高血压与抑郁症的因果关系

摘要/Abstract

摘要： 目的采用两样本孟德尔随机化方法探究高血压与抑郁症的相关性,以便指导临床早期干预。方法从布里斯托尔大学的IEU GWAS 数据库中选择高血压与抑郁症的GWAS数据,以高血压作为暴露因素,并从高血压数据集中获取与其显著相关的单核苷酸多态性(SNPs)作为工具变量。抑郁症的数据集作为结局变量。采用逆方差加权法、加权中位数法以及MR-Egger回归等方法进行高血压与抑郁症的两样本孟德尔随机化分析,以OR值来评价高血压与抑郁症之间的因果关系,并借助Cochran's Q统计量和MR Egger法评估异质性和水平多效性。结果高血压与抑郁症存在正相关关系,逆方差加权法(OR=1.481,95% CI 1.209-1.815,P<0.001)、加权中位数法(OR=1.626,95% CI 1.188-2.226,P=0.002)以及MR-Egger 回归 (OR=2.002,95% CI 1.142-3.509,P=0.016),不存在多效性及异质性。结论高血压与抑郁症之间存在正向的因果关联,这表明高血压是抑郁症的危险因素,提示临床医师在高血压患者诊疗过程中应积极进行心理疏导。

关键词: 高血压, 抑郁症, 孟德尔随机化, 因果关系

向海珠, 黄文茁, 奂久山, 郑琼莉. 基于孟德尔随机化探究高血压与抑郁症的因果关系[J]. 心血管病防治知识, 2023, 13(36): 30-35.

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