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系统的遗传分析 GWAS 数据显示免疫系统和失眠之间存在关联。

Systematic genetic analyses of GWAS data reveal an association between the immune system and insomnia.

机构信息

Department of Psychiatry, Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China.

Medical Laboratory Center, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China.

出版信息

Mol Genet Genomic Med. 2019 Jul;7(7):e00742. doi: 10.1002/mgg3.742. Epub 2019 May 15.

Abstract

BACKGROUND

Previous studies have inferred a strong genetic component for insomnia. However, the etiology of insomnia is still unclear. The aim of the current study was to explore potential biological pathways, gene networks, and brain regions associated with insomnia.

METHODS

Using pathways (gene sets) from Reactome, we carried out a two-stage gene set enrichment analysis strategy. From a large genome-wide association studies (GWASs) of insomnia symptoms (32,155 cases/26,973 controls), significant gene sets were tested for replication in other large GWASs of insomnia complaints (32,384 cases/80,622 controls). After the network analysis of unique genes within the replicated pathways, a gene set analysis for genes in each cluster/module of the enhancing neuroimaging genetics through meta-analysis GWAS data was performed for the volumes of the intracranial and seven subcortical regions.

RESULTS

A total of 31 of 1,816 Reactome pathways were identified and showed associations with insomnia risk. In addition, seven functionally and topologically interconnected clusters (clusters 0-6) and six gene modules (named Yellow, Blue, Brown, Green, Red, and Turquoise) were associated with insomnia. Moreover, significant associations were detected between common variants of the genes in Cluster 2 with hippocampal volume (p = 0.035; family wise error [FWE] correction) and the red module with intracranial volume (p = 0.047; FWE correction). Functional enrichment for genes in the Cluster 2 and the Red module revealed the involvement of immune responses, nervous system development, NIK/NF-kappaB signaling, and I-kappaB kinase/NF-kappaB signaling. Core genes (UBC, UBB, and UBA52) in the interconnected functional network were found to be involved in regulating brain development.

CONCLUSIONS

The current study demonstrates that the immune system and the hippocampus may play central roles in neurodevelopment and insomnia risk.

摘要

背景

先前的研究推断失眠存在强烈的遗传因素。然而,失眠的病因仍不清楚。本研究旨在探索与失眠相关的潜在生物学途径、基因网络和脑区。

方法

使用 Reactome 的途径(基因集),我们进行了两阶段的基因集富集分析策略。从大规模的失眠症状全基因组关联研究(32155 例/26973 例对照)中,测试了显著的基因集在其他大规模失眠抱怨全基因组关联研究(32384 例/80622 例对照)中的复制。在对复制途径内独特基因的网络分析之后,对通过荟萃分析 GWAS 数据增强神经影像学遗传学的每个聚类/模块中的基因进行了基因集分析,用于颅内和七个皮质下区域的体积。

结果

总共鉴定出 1816 个 Reactome 途径中的 31 个,这些途径与失眠风险相关。此外,七个功能上和拓扑上相互连接的聚类(聚类 0-6)和六个基因模块(命名为黄色、蓝色、棕色、绿色、红色和绿松石)与失眠相关。此外,在 Cluster 2 中的基因与海马体体积之间(p=0.035;家族错误率 [FWE]校正)和 Red 模块与颅内体积之间(p=0.047;FWE 校正)检测到常见变异之间的显著关联。Cluster 2 和 Red 模块中的基因的功能富集表明涉及免疫反应、神经系统发育、NIK/NF-kappaB 信号和 I-kappaB 激酶/NF-kappaB 信号。相互连接的功能网络中的核心基因(UBC、UBB 和 UBA52)被发现参与调节大脑发育。

结论

本研究表明免疫系统和海马体可能在神经发育和失眠风险中起核心作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dca0/6625127/b713358e5983/MGG3-7-e00742-g001.jpg

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