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教育程度与静脉血栓栓塞发生之间的因果关系。

Causal relationship between educational attainment and the occurrence of venous thromboembolism.

作者信息

Guo Sitong, Tan Sitao, Qin Shiran, Xu Dandan, Su Henghai, Chen Xiaoyu

机构信息

Department of Pharmacy, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, People's Republic of China.

Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.

出版信息

BMC Med Genomics. 2025 Feb 7;18(1):28. doi: 10.1186/s12920-025-02092-w.

Abstract

BACKGROUND

The association between educational attainment (EA) and arterial thrombotic disease has been reported, but the causal relationship between EA and venous thromboembolism (VTE) is not clear. We aimed to assess the causal effect of EA on VTE using the two-sample mendelian randomization (MR) method.

METHODS

Data mining was conducted on the genome wide association studies (GWAS), with exposure factor EA and outcome factor VTE. Two-sample Mendelian Randomization (TSMR) analysis was conducted, with the results obtained from the random effects inverse variance weighted method (IVW). Use the MR-Egger method for pleiotropy analysis and leave one method for sensitivity analysis to verify the reliability of the data.

RESULTS

Genetically predicted decreased EA was associated with a decreased risk of VTE in both the FinnGen consortium and UK Biobank (FinnGen-VTE: OR = 0.848; 95% CI 0.776-0.927; P = 2.84 × 10; UKB-VTE OR = 0.996; 95% CI 0.994-0.999; P = 0.008) under a multiplicative random-effects IVW model. Results were consistent in all sensitivity analyses and no horizontal pleiotropy was detected.

CONCLUSIONS

The MR technique instructed a potential inverse causative relationship between EA and occurrence of VTE. Therefore, patients with low EA should be more vigilant about the occurrence of VTE.

摘要

背景

教育程度(EA)与动脉血栓形成性疾病之间的关联已有报道,但EA与静脉血栓栓塞症(VTE)之间的因果关系尚不清楚。我们旨在使用两样本孟德尔随机化(MR)方法评估EA对VTE的因果效应。

方法

对全基因组关联研究(GWAS)进行数据挖掘,暴露因素为EA,结局因素为VTE。进行两样本孟德尔随机化(TSMR)分析,结果采用随机效应逆方差加权法(IVW)获得。使用MR-Egger方法进行多效性分析,并采用留一法进行敏感性分析以验证数据的可靠性。

结果

在乘法随机效应IVW模型下,遗传预测的EA降低与芬兰基因联盟和英国生物银行中VTE风险降低相关(芬兰基因联盟-VTE:OR = 0.848;95%CI 0.776 - 0.927;P = 2.84×10;英国生物银行-VTE OR = 0.996;95%CI 0.994 - 0.999;P = 0.008)。所有敏感性分析结果均一致,未检测到水平多效性。

结论

MR技术表明EA与VTE发生之间可能存在反向因果关系。因此,EA较低的患者应更警惕VTE的发生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70d9/11803988/1d7c27d961b5/12920_2025_2092_Fig1_HTML.jpg

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