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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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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. |
format | Online Article Text |
id | pubmed-6625127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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