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基因共表达分析确定了偏头痛病理生理学中涉及的脑区和细胞类型:一项基于全基因组关联研究(GWAS)并使用艾伦人类大脑图谱的研究。

Gene co-expression analysis identifies brain regions and cell types involved in migraine pathophysiology: a GWAS-based study using the Allen Human Brain Atlas.

作者信息

Eising Else, Huisman Sjoerd M H, Mahfouz Ahmed, Vijfhuizen Lisanne S, Anttila Verneri, Winsvold Bendik S, Kurth Tobias, Ikram M Arfan, Freilinger Tobias, Kaprio Jaakko, Boomsma Dorret I, van Duijn Cornelia M, Järvelin Marjo-Riitta R, Zwart John-Anker, Quaye Lydia, Strachan David P, Kubisch Christian, Dichgans Martin, Davey Smith George, Stefansson Kari, Palotie Aarno, Chasman Daniel I, Ferrari Michel D, Terwindt Gisela M, de Vries Boukje, Nyholt Dale R, Lelieveldt Boudewijn P F, van den Maagdenberg Arn M J M, Reinders Marcel J T

机构信息

Department of Human Genetics, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands.

Delft Bioinformatics Lab, Department of Intelligent Systems, Delft University of Technology, 2628 CD, Delft, The Netherlands.

出版信息

Hum Genet. 2016 Apr;135(4):425-439. doi: 10.1007/s00439-016-1638-x. Epub 2016 Feb 22.

Abstract

Migraine is a common disabling neurovascular brain disorder typically characterised by attacks of severe headache and associated with autonomic and neurological symptoms. Migraine is caused by an interplay of genetic and environmental factors. Genome-wide association studies (GWAS) have identified over a dozen genetic loci associated with migraine. Here, we integrated migraine GWAS data with high-resolution spatial gene expression data of normal adult brains from the Allen Human Brain Atlas to identify specific brain regions and molecular pathways that are possibly involved in migraine pathophysiology. To this end, we used two complementary methods. In GWAS data from 23,285 migraine cases and 95,425 controls, we first studied modules of co-expressed genes that were calculated based on human brain expression data for enrichment of genes that showed association with migraine. Enrichment of a migraine GWAS signal was found for five modules that suggest involvement in migraine pathophysiology of: (i) neurotransmission, protein catabolism and mitochondria in the cortex; (ii) transcription regulation in the cortex and cerebellum; and (iii) oligodendrocytes and mitochondria in subcortical areas. Second, we used the high-confidence genes from the migraine GWAS as a basis to construct local migraine-related co-expression gene networks. Signatures of all brain regions and pathways that were prominent in the first method also surfaced in the second method, thus providing support that these brain regions and pathways are indeed involved in migraine pathophysiology.

摘要

偏头痛是一种常见的致残性神经血管性脑部疾病,通常表现为严重头痛发作,并伴有自主神经和神经症状。偏头痛由遗传和环境因素相互作用引起。全基因组关联研究(GWAS)已确定了十几个与偏头痛相关的基因位点。在此,我们将偏头痛GWAS数据与来自艾伦人类大脑图谱的正常成人大脑高分辨率空间基因表达数据相结合,以确定可能参与偏头痛病理生理学的特定脑区和分子途径。为此,我们使用了两种互补方法。在来自23285例偏头痛病例和95425例对照的GWAS数据中,我们首先研究了基于人类大脑表达数据计算的共表达基因模块,以富集与偏头痛相关的基因。在五个模块中发现了偏头痛GWAS信号的富集,这表明:(i)皮质中的神经传递、蛋白质分解代谢和线粒体;(ii)皮质和小脑中的转录调控;以及(iii)皮质下区域的少突胶质细胞和线粒体参与了偏头痛病理生理学。其次,我们以偏头痛GWAS中的高可信度基因为基础,构建局部偏头痛相关共表达基因网络。第一种方法中突出的所有脑区和途径的特征在第二种方法中也出现了,从而支持这些脑区和途径确实参与了偏头痛病理生理学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbe2/4796339/14f0d9ff0b89/439_2016_1638_Fig1_HTML.jpg

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