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大规模多组学研究为血压调节提供新见解。

Large-Scale Multi-Omics Studies Provide New Insights into Blood Pressure Regulation.

机构信息

Department of Epidemiology, University of Groningen, University Medical Centre Groningen, 9713 GZ Groningen, The Netherlands.

Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan P.O. Box 81746-7346, Iran.

出版信息

Int J Mol Sci. 2022 Jul 8;23(14):7557. doi: 10.3390/ijms23147557.

Abstract

Recent genome-wide association studies uncovered part of blood pressure's heritability. However, there is still a vast gap between genetics and biology that needs to be bridged. Here, we followed up blood pressure genome-wide summary statistics of over 750,000 individuals, leveraging comprehensive epigenomic and transcriptomic data from blood with a follow-up in cardiovascular tissues to prioritise likely causal genes and underlying blood pressure mechanisms. We first prioritised genes based on coding consequences, multilayer molecular associations, blood pressure-associated expression levels, and coregulation evidence. Next, we followed up the prioritised genes in multilayer studies of genomics, epigenomics, and transcriptomics, functional enrichment, and their potential suitability as drug targets. Our analyses yielded 1880 likely causal genes for blood pressure, tens of which are targets of the available licensed drugs. We identified 34 novel genes for blood pressure, supported by more than one source of biological evidence. Twenty-eight (82%) of these new genes were successfully replicated by transcriptome-wide association analyses in a large independent cohort ( = ~220,000). We also found a substantial mediating role for epigenetic regulation of the prioritised genes. Our results provide new insights into genetic regulation of blood pressure in terms of likely causal genes and involved biological pathways offering opportunities for future translation into clinical practice.

摘要

最近的全基因组关联研究揭示了部分血压的遗传性。然而,遗传学和生物学之间仍然存在着巨大的差距,需要加以弥合。在这里,我们利用来自血液的综合表观基因组和转录组数据以及心血管组织的后续研究,对超过 75 万名个体的血压全基因组汇总统计数据进行了跟进,以确定可能的因果基因和潜在的血压机制。我们首先根据编码后果、多层次分子关联、与血压相关的表达水平以及核心调控证据对基因进行优先级排序。接下来,我们在基因组学、表观基因组学和转录组学、功能富集以及它们作为药物靶点的潜在适用性的多层次研究中对优先级排序的基因进行了跟进。我们分析得到了 1880 个可能与血压相关的基因,其中数十个是现有已上市药物的靶点。我们确定了 34 个新的血压相关基因,这些基因得到了多种来源的生物学证据的支持。在一个大型独立队列(~220,000 人)的全转录组关联分析中,其中 28 个(82%)新基因得到了成功复制。我们还发现了优先级排序基因的表观遗传调控的重要介导作用。我们的研究结果为血压的遗传调控提供了新的见解,涉及可能的因果基因和相关的生物学途径,为未来转化为临床实践提供了机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0754/9323755/c98327c06da4/ijms-23-07557-g0A1a.jpg

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