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首页> 外文期刊>Human Genetics >Gene co-expression analysis identifies brain regions and cell types involved in migraine pathophysiology: a GWAS-based study using the Allen Human Brain Atlas
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Gene co-expression analysis identifies brain regions and cell types involved in migraine pathophysiology: a GWAS-based study using the Allen Human Brain Atlas

机译:基因共表达分析可识别偏头痛病理生理学涉及的大脑区域和细胞类型:一项基于艾伦人脑图集的基于GWAS的研究

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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.
机译:偏头痛是一种常见的致残性神经血管性脑疾病,通常以严重头痛发作为特征,并伴有自主神经症状。偏头痛是由遗传和环境因素的相互作用引起的。全基因组关联研究(GWAS)已经确定了十几个与偏头痛相关的遗传基因座。在这里,我们将偏头痛GWAS数据与来自“艾伦人脑图集”的正常成年大脑的高分辨率空间基因表达数据进行了整合,以识别可能与偏头痛病理生理学有关的特定大脑区域和分子途径。为此,我们使用了两种互补的方法。在来自23285例偏头痛病例和95425例对照的GWAS数据中,我们首先研究了共表达基因的模块,这些模块是根据人脑表达数据计算得出的,以丰富与偏头痛相关的基因。在五个偏头痛病理生理学模块中发现了偏头痛GWAS信号的富集:(i)皮质中的神经传递,蛋白质分解代谢和线粒体; (ii)皮质和小脑的转录调控; (iii)皮质下区域少突胶质细胞和线粒体。其次,我们以偏头痛GWAS的高可信度基因为基础,构建了局部偏头痛相关的共表达基因网络。在第一种方法中突出的所有大脑区域和通路的特征也在第二种方法中浮出水面,因此提供了这些大脑区域和通路确实与偏头痛病理生理有关的证据。

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