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

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...

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Autores principales: Xiang, Bo, Liu, Kezhi, Yu, Minglan, Liang, Xuemei, Huang, Chaohua, Zhang, Jin, He, Wenying, Lei, Wei, Chen, Jing, Gu, Xiaochu, Gong, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625127/
https://www.ncbi.nlm.nih.gov/pubmed/31094102
http://dx.doi.org/10.1002/mgg3.742
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author Xiang, Bo
Liu, Kezhi
Yu, Minglan
Liang, Xuemei
Huang, Chaohua
Zhang, Jin
He, Wenying
Lei, Wei
Chen, Jing
Gu, Xiaochu
Gong, Ke
author_facet Xiang, Bo
Liu, Kezhi
Yu, Minglan
Liang, Xuemei
Huang, Chaohua
Zhang, Jin
He, Wenying
Lei, Wei
Chen, Jing
Gu, Xiaochu
Gong, Ke
author_sort Xiang, Bo
collection PubMed
description 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.
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spelling pubmed-66251272019-07-17 Systematic genetic analyses of GWAS data reveal an association between the immune system and insomnia Xiang, Bo Liu, Kezhi Yu, Minglan Liang, Xuemei Huang, Chaohua Zhang, Jin He, Wenying Lei, Wei Chen, Jing Gu, Xiaochu Gong, Ke Mol Genet Genomic Med Original Articles 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. John Wiley and Sons Inc. 2019-05-15 /pmc/articles/PMC6625127/ /pubmed/31094102 http://dx.doi.org/10.1002/mgg3.742 Text en © 2019 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Xiang, Bo
Liu, Kezhi
Yu, Minglan
Liang, Xuemei
Huang, Chaohua
Zhang, Jin
He, Wenying
Lei, Wei
Chen, Jing
Gu, Xiaochu
Gong, Ke
Systematic genetic analyses of GWAS data reveal an association between the immune system and insomnia
title Systematic genetic analyses of GWAS data reveal an association between the immune system and insomnia
title_full Systematic genetic analyses of GWAS data reveal an association between the immune system and insomnia
title_fullStr Systematic genetic analyses of GWAS data reveal an association between the immune system and insomnia
title_full_unstemmed Systematic genetic analyses of GWAS data reveal an association between the immune system and insomnia
title_short Systematic genetic analyses of GWAS data reveal an association between the immune system and insomnia
title_sort systematic genetic analyses of gwas data reveal an association between the immune system and insomnia
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625127/
https://www.ncbi.nlm.nih.gov/pubmed/31094102
http://dx.doi.org/10.1002/mgg3.742
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