Wang Mengmeng, Mo Degang, Zhou Chi, Zhang Wenqiang, Chen Rui, Xu Jiachao, Zhang Ning, Yu Haichu
Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China.
Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China.
J Affect Disord. 2024 Oct 15;363:331-339. doi: 10.1016/j.jad.2024.07.100. Epub 2024 Jul 24.
The objective of this study was to analyze the causal relationship between Neuroticism and aortic aneurysm using Mendelian randomization (MR). The study aimed to establish a foundation for the development of effective prevention and treatment strategies.
Genetic association data for Neuroticism were obtained from the UK Biobank, which included 393,411 individuals and 11,968,760 single nucleotide polymorphisms (SNPs). Genetic association data for aortic aneurysm were obtained from a genome-wide association study (GWAS), which included 479,194 individuals and 24,191,825 SNPs. Heterogeneity was assessed using the Cochran's Q statistic test. The study also utilized the MR Pleiotropy RESidual Sum and Outlier (Mr-PRESSO) test, as well as the MR-Egger regression method, to examine horizontal pleiotropy and determine the reliability of the findings through the leave-one-out method.
Forward MR analysis showed that the risk of aortic aneurysm was elevated in individuals with genetically predicted Neuroticism compared to those without Neuroticism (OR = 1.1315, 95 % CI: 1.0269-1.2468; P = 0.0126). The Cochran's Q test showed no heterogeneity (P > 0.05), and the MR-PRESSO test did not identify instrumental variables of horizontal pleiotropy (P > 0.05). The MR analysis remained robust after removing SNPs one by one. Inverse MR analysis did not observe an association between aortic aneurysm and having Neuroticism OR = 1.030, 95 % CI: 0.9459-1.118, P = 0.488).
Our study has established a clear causal relationship between genetically determined Neuroticism and the development of aortic aneurysms. It is therefore important to intensify screening and prevention efforts for aortic aneurysms in neurotic patients. It also opens new avenues for exploring the disease's pathogenesis.
本研究的目的是使用孟德尔随机化(MR)分析神经质与主动脉瘤之间的因果关系。该研究旨在为制定有效的预防和治疗策略奠定基础。
神经质的基因关联数据来自英国生物银行,其中包括393,411名个体和11,968,760个单核苷酸多态性(SNP)。主动脉瘤的基因关联数据来自一项全基因组关联研究(GWAS),其中包括479,194名个体和24,191,825个SNP。使用 Cochr an's Q统计检验评估异质性。该研究还利用MR多效性残差和异常值(Mr-PRESSO)检验以及MR-Egger回归方法来检查水平多效性,并通过留一法确定研究结果的可靠性。
正向MR分析表明,与没有神经质的个体相比,基因预测为神经质的个体患主动脉瘤的风险升高(OR = 1.1315,95% CI:1.0269 - 1.2468;P = 0.0126)。 Cochr an's Q检验未显示异质性(P > 0.05),MR-PRESSO检验未识别出水平多效性的工具变量(P > 0.05)。逐一去除SNP后,MR分析仍然稳健。反向MR分析未观察到主动脉瘤与神经质之间的关联(OR = 1.030,95% CI:0.9459 - 1.118,P = 0.488)。
我们的研究已经确定了基因决定的神经质与主动脉瘤发生之间的明确因果关系。因此,加强对神经质患者主动脉瘤的筛查和预防工作很重要。它还为探索该疾病的发病机制开辟了新途径。