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不同血压特征与心血管疾病风险的因果关系:在中国 10 万成年人中的 GWAS 和孟德尔随机化研究。

Causal relevance of different blood pressure traits on risk of cardiovascular diseases: GWAS and Mendelian randomisation in 100,000 Chinese adults.

机构信息

Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Human Genetics Centre of Excellence, Novo Nordisk Research Centre Oxford, Innovation Building, Old Road Campus, Oxford, UK.

出版信息

Nat Commun. 2024 Jul 24;15(1):6265. doi: 10.1038/s41467-024-50297-x.

Abstract

Elevated blood pressure (BP) is major risk factor for cardiovascular diseases (CVD). Genome-wide association studies (GWAS) conducted predominantly in populations of European ancestry have identified >2,000 BP-associated loci, but other ancestries have been less well-studied. We conducted GWAS of systolic, diastolic, pulse, and mean arterial BP in 100,453 Chinese adults. We identified 128 non-overlapping loci associated with one or more BP traits, including 74 newly-reported associations. Despite strong genetic correlations between populations, we identified appreciably higher heritability and larger variant effect sizes in Chinese compared with European or Japanese ancestry populations. Using instruments derived from these GWAS, multivariable Mendelian randomisation demonstrated that BP traits contribute differently to the causal associations of BP with CVD. In particular, only pulse pressure was independently causally associated with carotid plaque. These findings reinforce the need for studies in diverse populations to understand the genetic determinants of BP traits and their roles in disease risk.

摘要

血压升高是心血管疾病(CVD)的主要危险因素。主要在欧洲血统人群中进行的全基因组关联研究(GWAS)已经确定了超过 2000 个与血压相关的基因座,但其他血统的人群研究较少。我们对 100453 名中国成年人的收缩压、舒张压、脉搏和平均动脉血压进行了 GWAS。我们确定了 128 个与一个或多个血压特征相关的非重叠基因座,其中包括 74 个新报告的关联。尽管人群之间存在很强的遗传相关性,但与欧洲或日本血统人群相比,中国人群的遗传率明显更高,变异效应也更大。使用这些 GWAS 衍生的工具,多变量孟德尔随机化表明,血压特征对血压与 CVD 的因果关系的贡献不同。特别是,只有脉压与颈动脉斑块有独立的因果关系。这些发现强调了在不同人群中进行研究的必要性,以了解血压特征的遗传决定因素及其在疾病风险中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65cb/11269703/f6b3a80e3aad/41467_2024_50297_Fig1_HTML.jpg

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