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高血压和中风的遗传病因学:基于全基因组关联研究的生物信息学分析证据。

Shared genetic etiology of hypertension and stroke: evidence from bioinformatics analysis of genome-wide association studies.

机构信息

Department of Biochemistry, School of Medicine, Ningbo University, Ningbo, China.

Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China.

出版信息

J Hum Hypertens. 2017 Dec;32(1):34-39. doi: 10.1038/s41371-017-0012-3. Epub 2017 Nov 24.

Abstract

Hypertension is the most significant modifiable risk factor for cerebrovascular disease. It has been estimated that about 54% of strokes worldwide can be attributed to hypertension. However, there has not been a systematic study assessing the shared genetic susceptibility to hypertension and stroke on a genome-wide level. In this study, SNPs associated with essential hypertension and stroke were collected from the NHGRI-EBI GWAS catalog, and genotype imputation were conducted using information from the 1000 Genomes Project. Subsequently, the SNPs and the mapped genes were compared between the two diseases. Finally, functional clustering was performed, and the enriched GO terms and KEGG pathways were further compared between hypertension and stroke. Comparison of these two groups of SNPs and genes identified only one shared SNP (rs3184504) and 11 shared genes. After genotype imputation, 129 shared SNPs and 16 shared genes were identified. These genes were significantly enriched in 10 GO terms, which were mainly involved in lipoprotein and triglyceride metabolism. Additionally, KEGG analysis identified one pathway, glycerolipid metabolism, as being significantly enriched in both diseases. The present study strongly suggests that the gene network regulating lipid metabolism and blood circulation is the major shared genetic etiology of hypertension and stroke.

摘要

高血压是脑血管疾病最重要的可改变风险因素。据估计,全球约有 54%的中风可归因于高血压。然而,尚未有系统的研究评估全基因组水平上高血压和中风的共同遗传易感性。在这项研究中,从 NHGRI-EBI GWAS 目录中收集了与原发性高血压和中风相关的 SNP,并使用 1000 基因组计划的信息进行了基因型推断。随后,比较了这两种疾病的 SNP 和映射基因。最后,进行了功能聚类,并进一步比较了高血压和中风之间富集的 GO 术语和 KEGG 途径。比较这两组 SNP 和基因仅发现了一个共享 SNP(rs3184504)和 11 个共享基因。进行基因型推断后,鉴定出 129 个共享 SNP 和 16 个共享基因。这些基因在 10 个 GO 术语中显著富集,主要涉及脂蛋白和甘油三酯代谢。此外,KEGG 分析确定了一条途径,甘油酯代谢,在两种疾病中均显著富集。本研究强烈表明,调节脂质代谢和血液循环的基因网络是高血压和中风的主要共同遗传病因。

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