与高血压发病有关的多种风险因素图集:全面的暴露组关联和广角遗传分析。

IF 7.5 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Hongxi Yang, Yuhan Jiang, Ju Guo, Jianhua Wang, Xin Ma, Kexin Chen, Hua Yan, Ying Yu, Dandan Huang
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引用次数: 0

摘要

背景:尽管与高血压相关的风险因素众多,但研究的广度仍然受到限制,明显缺乏对广泛暴露的既有因素和新因素进行系统的、数据驱动的探索。本研究旨在通过全面的流行病学和遗传学分析,构建高血压已知和新兴因素图谱:我们通过 Cox 回归模型对英国生物库(一项大型前瞻性队列研究)中两个同等规模的数据集进行了暴露体关联研究(ExWAS)。ExWAS 最多纳入了 10806 个暴露组变量,并将其分为 13 类:基因组学、社会人口学、生活方式、身体测量、生物标记物、病史、影像标记物、性别特异性因素、社会心理因素、认知功能指标、当地环境、家族史和早期生活因素。通过荟萃分析评估了流行病学关联的可信度。通过关联-非平衡分数回归(LDSC)对遗传基础进行了探索,量化了整体遗传相关性。进行了双样本孟德尔随机化(MR)研究,以调查每种暴露对高血压的因果效应,并进行共同分析,以确定流行病学和遗传学证据支持的关联:这项研究包括 214 957 名英国生物库参与者,他们在基线时都没有高血压。在我们的ExWAS分析中,964个重要的暴露组变量得到了复制。在荟萃分析中,462 个变量得到了令人信服和高度提示性证据的支持。在 LDSC 的 10,765 个暴露变量中,1923 个与高血压有整体遗传相关性。磁共振分析为125种表型的因果关系提供了有力证据,为270种表型提供了可能的证据,为718种表型提供了提示性证据。共同分析确定了 146 项有流行病学和遗传学有力证据支持的关联。这些关联主要包括人体测量、肺功能、血脂等特征以及尿酸盐和步行速度等因素。研究范围进一步扩大,从研究充分的因素(如体重指数和体力活动)到研究较少的暴露因素(包括高光散射网织红细胞计数和初活年龄)。所有研究结果都汇编在一个网络服务器中,方便用户探索暴露与高血压之间的关联:本研究以流行病学和因果关系证据为基础,提供了高血压既有风险因素和新型风险因素图集。我们的研究结果从多个角度提出了高血压预防策略的优先次序,包括可改变的风险因素,如看电视时间和步行速度。研究还强调了尿酸盐在高血压发病机制中的作用。因此,我们的研究可作为高血压预防的重要指南,并具有重要的临床意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An atlas on multitudinous risk factors associated with incident hypertension: comprehensive exposome-wide association and wide-angled genetic analyses.

Aims: Despite numerous risk factors being associated with hypertension, the breadth of research remains constrained, with a notable absence of systematic, data-driven exploration into established and novel factors across a broad spectrum of exposures. This study aims to construct an atlas on known and emerging factors for hypertension through comprehensive epidemiological and genetic analyses.

Methods and results: We conducted exposome-wide association studies (ExWAS) via Cox regression models on two equally sized datasets for discovery and replication in UK Biobank, a large prospective cohort study. A maximum of 10 806 exposome variables were included in ExWAS and were grouped into 13 categories: genomics, sociodemographic, lifestyle, physical measure, biomarkers, medical history, imaging markers, sex-specific factors, psychosocial factors, cognitive function indicators, local environment, family history, and early life factors. The credibility of epidemiological associations was assessed through meta-analyses. The genetic underpinnings were explored through linkage disequilibrium score regression (LDSC), quantifying global genetic correlation. Two-sample Mendelian randomization (MR) studies were conducted to investigate the causal effects of each exposure on hypertension, with co-analyses undertaken to identify associations supported by both epidemiological and genetic evidence. This study included 214 957 UK Biobank participants, hypertension-free at baseline. In our ExWAS analyses, 964 significant exposome variables were replicated. In meta-analyses, 462 were backed by convincing and highly suggestive evidence. Among 10 765 exposures in LDSC, 1923 had global genetic correlations with hypertension. The MR analyses yielded robust evidence for a causal relationship with 125 phenotypes, probable evidence for 270 phenotypes, and suggestive evidence for 718 phenotypes. Co-analyses identified 146 associations supported by strong epidemiological and genetic evidence. These primarily encompassed traits like anthropometry, lung function, lipids, and factors such as urate and walking pace. This coverage further extended from well-studied factors (like body mass index and physical activity) to less explored exposures (including high light scatter reticulocyte count and age at first live). All study results are compiled in a webserver for user-friendly exploration of exposure-hypertension associations.

Conclusion: This study provides an atlas on established and novel risk factors for hypertension, underpinned by epidemiological and causal evidence. Our findings present multiple perspectives to prioritize hypertension prevention strategies, encompassing modifiable risk factors like television watching time and walking pace. The study also emphasized the roles of urate in hypertension pathogenesis. Consequently, our study may serve as a critical guide for hypertension prevention and bear significant clinical implications.

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来源期刊
European journal of preventive cardiology
European journal of preventive cardiology CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
12.50
自引率
12.00%
发文量
601
审稿时长
3-8 weeks
期刊介绍: European Journal of Preventive Cardiology (EJPC) is an official journal of the European Society of Cardiology (ESC) and the European Association of Preventive Cardiology (EAPC). The journal covers a wide range of scientific, clinical, and public health disciplines related to cardiovascular disease prevention, risk factor management, cardiovascular rehabilitation, population science and public health, and exercise physiology. The categories covered by the journal include classical risk factors and treatment, lifestyle risk factors, non-modifiable cardiovascular risk factors, cardiovascular conditions, concomitant pathological conditions, sport cardiology, diagnostic tests, care settings, epidemiology, pharmacology and pharmacotherapy, machine learning, and artificial intelligence.
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