心血管疾病与骨质疏松症:孟德尔随机研究

ZHAO WANG, Shuyi Zhang, Hongyang Gong, Guoxu Zhao, Hong Xiao, Shuai Yuan, Wenhao Wu, Pai Xu, Yihong Chen, Yihong Chen, Mei Yang, Chan Kang
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引用次数: 0

摘要

背景:心血管疾病(CVD)可能与骨质疏松症(OP)有一定的关联。这项孟德尔随机化(MR)调查旨在探索心血管疾病与骨质疏松症之间的潜在因果联系。研究方法利用欧洲人后裔的全基因组关联研究数据,我们找出了与心血管疾病相关的单核苷酸多态性(SNPs),包括与冠心病(CHD)相关的 64,762 个病例和 22,233 个对照,与心力衰竭(HF)相关的 47,309 个病例和 930,014 个对照,以及与中风相关的 3,611 至 18,084 个病例对照,作为工具变量。随后,我们搜索了全身骨矿密度(BMD)统计数据,并将其作为 OP 的表型(样本量 = 56 284)。本文采用传统的逆方差加权法(IVW)、加权中位数估计法和 MR Egger 法来估计不同的结果。我们使用 MR Egger 截距检验、离群值(Mr PRESSO)检验和 Cochran Q 统计量来检测潜在的方向多效性和异质性,同时我们还绘制了散点图、漏斗图和森林图。此外,我们还进行了反向 MR 分析,以探讨反向因果关系的可能性。结果IVW分析表明,冠心病会显著影响全身BMD水平,在IVW分析中,冠心病风险每增加一个标准差,平均全身BMD就会减少0.0459个单位。反向 MR 分析表明,全身 BMD 的变化与冠心病患病率的影响无明显相关性。心房颤动与全身 BMD 之间不存在特殊关系。中风引起的全身 BMD 变化之间没有明显影响。反向 MR 分析显示,全身 BMD 的变化与中风之间没有明显的相关性。结论:我们的分析表明,冠心病与 OP 的易感性之间存在重要的因果关系,这可能为治疗和预防 OP 的创新方法铺平道路。
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Cardiovascular disease and Osteoporosis : A Mendelian randomization study
Background: Cardiovascular disease (CVD) may have some association with osteoporosis (OP). This Mendelian randomization (MR) investigation aimed to explore the potential causal linkage between CVD and OP. Methods: Utilizing genome wide association study data from individuals of European descent, we pinpointed Single Nucleotide Polymorphisms (SNPs) relevant to CVD, including those for coronary heart disease (CHD) with 64,762 cases and 22,233 controls, heart failure (HF) comprising 47,309 cases against 930,014 controls, and stroke with a case-control tally of 3,611 to 18,084, to serve as the instrumental variables. Later, we searched for total body bone mineral density (BMD) statistics which were used as phenotypes for OP(sample size = 56,284). In this paper, the traditional inverse variance weighting (IVW) method, the weighted median estimation method, and the MR Egger method are used to estimate different results. The MR Egger intercept test, outlier (Mr PRESSO) test and Cochran Q statistic are used to detect potential directional pleiotropy and heterogeneity, while we also draw the scatter plot, funnel plot and forest plot. Additionally, a reverse direction MR analysis was performed to explore the potential for reverse causation. Results: The IVW analysis showed that CHD could significantly impact total body BMD levels, and every higher standard deviation in the risk of CHD decreased the average total body BMD by 0.0459 units in the IVW analysis. Reverse MR analysis showed no significant correlation of the change of total body BMD on the prevalence effect of CHD. No particular relationship exists between HF and total body BMD. There was no significant effect between the changes in total body BMD induced by stroke. Reverse MR analysis revealed no significant correlation between alterations in total body BMD on stroke. Conclusion: Our analysis points to a substantial causative link between CHD and the vulnerability to OP, potentially paving the way for innovative approaches in treating and preventing OP.
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