社会经济地位、智力、认知和房颤之间的因果关系:来自孟德尔随机化的证据。

Wulamiding Kaisaier, Min Ye, Zexuan Wu, Chen Liu, Jiangui He, Gregory Y H Lip, Yili Chen, Wengen Zhu
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引用次数: 0

摘要

背景:较低的社会经济地位、智力和认知与较高的房颤(AF)可能性有关。然而,这些因素是否直接导致房颤或其他因素是否介导这种关系尚不清楚。目的:本研究旨在确定低社会经济地位、智力、认知和房颤之间的因果关系,并确定中介因素。方法:我们对来自欧洲血统全基因组关联研究的数据进行了两样本孟德尔随机化分析。教育、智力、认知、收入和职业的遗传工具(n = 248,847-1,131,881)评估了它们与AF的关系(FinnGen研究:50,743例和210,652例对照受试者;6项欧洲研究:60,620和970,216)。结果:综合2项研究的meta分析结果显示,教育、智力和认知与房颤有因果关系(P < 0.05)。基因预测,受教育程度每增加1个标准差与房颤风险降低19%相关(OR: 0.81;95% CI: 0.71-0.92),独立于智力和认知。在44个候选介质中,确定8个因素介导教育与房颤的关联,包括心力衰竭(中介比例为95.35%)、体脂量(44.05%)、腰围(42.93%)、冠心病(30.1%)、体重指数(29.0%)、心肌梗死(28.8%)、舒张压(21.7%)、腰臀比(14.3%)。结论:教育对房颤具有因果和保护作用,与智力和认知无关。心力衰竭、肥胖和缺血性心脏病是教育到房颤的中介因素,强调了在预防与教育不平等相关的房颤时考虑这些条件的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Causal Associations Between Socioeconomic Status, Intelligence, Cognition and Atrial Fibrillation: Evidence From Mendelian Randomization.

Background: Lower socioeconomic status, intelligence, and cognition are linked to a higher likelihood of atrial fibrillation (AF). However, whether these factors directly cause AF or whether others mediate this relationship is unclear.

Objectives: Our study aimed to determine the causal link between lower socioeconomic status, intelligence, cognition, and AF, and identify mediators.

Methods: We conducted a 2-sample Mendelian randomization analysis with data from European ancestry genome-wide association studies. Genetic instruments for education, intelligence, cognition, income, and occupation (n = 248,847-1,131,881) evaluated their relationship with AF (FinnGen study: 50,743 cases and 210,652 control subjects; 6 European studies: 60,620 and 970,216).

Results: The pooled results from meta-analysis combining data from 2 studies indicated that education, intelligence, and cognition were causally associated with AF (P < 0.05). Genetically predicted, each 1-SD increase in educational attainment was associated with a 19% decreased risk of AF (OR: 0.81; 95% CI: 0.71-0.92), independent of intelligence and cognition. Among 44 candidate mediators, 8 factors were identified to mediate the education-AF association, including heart failure (mediation proportion: 95.35%), body fat mass (44.05%), waist circumference (42.93%), coronary heart disease (30.1%), body mass index (29.0%), myocardial infarction (28.8%), diastolic blood pressure (21.7%), and waist-to-hip ratio (14.3%).

Conclusions: Our study suggests that education exerts a causal and protective effect against AF, independent of intelligence and cognition. Heart failure, obesity, and ischemic heart disease serve as mediating factors in the pathway from education to AF, underscoring the importance of considering these conditions in preventing AF associated with education inequality.

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来源期刊
JACC. Asia
JACC. Asia Cardiology and Cardiovascular Medicine
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