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全基因组关联研究与脑区相关增强子图谱的综合分析确定了失眠的生物学途径。

Integrative analysis of genome-wide association study and brain region related enhancer maps identifies biological pathways for insomnia.

机构信息

Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, PR China.

Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, PR China.

出版信息

Prog Neuropsychopharmacol Biol Psychiatry. 2018 Aug 30;86:180-185. doi: 10.1016/j.pnpbp.2018.05.026. Epub 2018 Jun 6.

Abstract

Insomnia is a common sleep disorder whose genetic mechanism remains unknown. The aim of this study is to identify novel genes, gene enrichment sets and enriched tissue/cell types for insomnia considering the differences across different brain regions. We conducted an integrative analysis of genome-wide association study (GWAS) and brain region related enhancer maps. Summary data was derived from a large-scale GWAS of insomnia, involving 113,006 unrelated individuals. The chromosomal enhancer maps of 6 brain regions were then aligned with the GWAS summary data to obtain the association testing results of enhancer regions for insomnia. Gene prioritization, tissue/cell and pathway enrichment analysis were implemented by Data-driven Expression Prioritized Integration for Complex Traits (DEPICT) tool. We identified multiple cross-brain regions or brain-region specific prioritized genes for insomnia, such as MADD (P = .0013 in angular gyrus), PPP2R3C (P = .0319 in cingulate gyrus), CASP9 (P = .0066 in angular gyrus and P = .0278 in hippocampus middle), PLEKHM2 (P = .0032 in angular gyrus, P = .0052 in anterior caudate, P = .0385 in cingulate gyrus and P = .0011 in inferior temporal lobe). This study also detected a group of insomnia associated biological pathways within multiple or specific brain regions, such as REACTOME_SIGNALING_BY_NOTCH and KEGG_GLYCEROPHOSPHOLIPID_METABOLISM. Our results showed that insomnia associated genes were significantly enriched in neural stem cells. Our results highlight a set of potential points, particularly neural stem cells, for subsequent biological studies for insomnia.

摘要

失眠是一种常见的睡眠障碍,其遗传机制尚不清楚。本研究旨在考虑不同脑区之间的差异,确定失眠的新基因、基因富集集和富集组织/细胞类型。我们对全基因组关联研究 (GWAS) 和与大脑区域相关的增强子图谱进行了综合分析。汇总数据源自一项涉及 113006 名无亲缘关系个体的大规模失眠 GWAS。然后,将 6 个大脑区域的染色体增强子图谱与 GWAS 汇总数据对齐,以获得失眠增强子区域的关联测试结果。通过 Data-driven Expression Prioritized Integration for Complex Traits (DEPICT) 工具进行基因优先级、组织/细胞和途径富集分析。我们确定了多个跨脑区或脑区特有的失眠优先基因,例如 MADD(在角回中 P=0.0013)、PPP2R3C(在扣带回中 P=0.0319)、CASP9(在角回中 P=0.0066,在海马体中部 P=0.0278)、PLEKHM2(在角回中 P=0.0032,在前脑壳部 P=0.0052,在扣带回中 P=0.0385,在下颞叶中 P=0.0011)。本研究还在多个或特定脑区检测到一组与失眠相关的生物学途径,例如 REACTOME_SIGNALING_BY_NOTCH 和 KEGG_GLYCEROPHOSPHOLIPID_METABOLISM。我们的结果表明,失眠相关基因在神经干细胞中显著富集。我们的结果突出了一组潜在的关注点,特别是神经干细胞,为随后的失眠生物学研究提供了依据。

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