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Analysis of Shared Genetic Regulatory Networks for Alzheimer's Disease and Epilepsy
Alzheimer's disease (AD) and epilepsy are neurological disorders that affect a large cohort of people worldwide. Although both of the two diseases could be influenced by genetic factors, the shared genetic mechanism underlying the pathogenesis of them is still unclear. In this study, we aimed t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538392/ https://www.ncbi.nlm.nih.gov/pubmed/34697589 http://dx.doi.org/10.1155/2021/6692974 |
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author | Wang, Xiao-Dan Liu, Shuai Lu, Hui Guan, Yalin Wu, Hao Ji, Yong |
author_facet | Wang, Xiao-Dan Liu, Shuai Lu, Hui Guan, Yalin Wu, Hao Ji, Yong |
author_sort | Wang, Xiao-Dan |
collection | PubMed |
description | Alzheimer's disease (AD) and epilepsy are neurological disorders that affect a large cohort of people worldwide. Although both of the two diseases could be influenced by genetic factors, the shared genetic mechanism underlying the pathogenesis of them is still unclear. In this study, we aimed to identify the shared genetic networks and corresponding hub genes for AD and epilepsy. Firstly, the gene coexpression modules (GCMs) were constructed by weighted gene coexpression network analysis (WGCNA), and 16 GCMs were identified. Through further integration of GCMs, genome-wide association studies (GWASs), and expression quantitative trait loci (eQTLs), 4 shared GCMs of AD and epilepsy were identified. Functional enrichment analysis was performed to analyze the shared biological processes of these GCMs and explore the functional overlaps between these two diseases. The results showed that the genes in shared GCMs were significantly enriched in nervous system-related pathways, such as Alzheimer's disease and neuroactive ligand-receptor interaction pathways. Furthermore, the hub genes of AD- and epilepsy-associated GCMs were captured by weighted key driver analysis (wKDA), including TRPC1, C2ORF40, NR3C1, KIAA0368, MMT00043109, STEAP1, MSX1, KL, and CLIC6. The shared GCMs and hub genes might provide novel therapeutic targets for AD and epilepsy. |
format | Online Article Text |
id | pubmed-8538392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-85383922021-10-24 Analysis of Shared Genetic Regulatory Networks for Alzheimer's Disease and Epilepsy Wang, Xiao-Dan Liu, Shuai Lu, Hui Guan, Yalin Wu, Hao Ji, Yong Biomed Res Int Research Article Alzheimer's disease (AD) and epilepsy are neurological disorders that affect a large cohort of people worldwide. Although both of the two diseases could be influenced by genetic factors, the shared genetic mechanism underlying the pathogenesis of them is still unclear. In this study, we aimed to identify the shared genetic networks and corresponding hub genes for AD and epilepsy. Firstly, the gene coexpression modules (GCMs) were constructed by weighted gene coexpression network analysis (WGCNA), and 16 GCMs were identified. Through further integration of GCMs, genome-wide association studies (GWASs), and expression quantitative trait loci (eQTLs), 4 shared GCMs of AD and epilepsy were identified. Functional enrichment analysis was performed to analyze the shared biological processes of these GCMs and explore the functional overlaps between these two diseases. The results showed that the genes in shared GCMs were significantly enriched in nervous system-related pathways, such as Alzheimer's disease and neuroactive ligand-receptor interaction pathways. Furthermore, the hub genes of AD- and epilepsy-associated GCMs were captured by weighted key driver analysis (wKDA), including TRPC1, C2ORF40, NR3C1, KIAA0368, MMT00043109, STEAP1, MSX1, KL, and CLIC6. The shared GCMs and hub genes might provide novel therapeutic targets for AD and epilepsy. Hindawi 2021-10-14 /pmc/articles/PMC8538392/ /pubmed/34697589 http://dx.doi.org/10.1155/2021/6692974 Text en Copyright © 2021 Xiao-Dan Wang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wang, Xiao-Dan Liu, Shuai Lu, Hui Guan, Yalin Wu, Hao Ji, Yong Analysis of Shared Genetic Regulatory Networks for Alzheimer's Disease and Epilepsy |
title | Analysis of Shared Genetic Regulatory Networks for Alzheimer's Disease and Epilepsy |
title_full | Analysis of Shared Genetic Regulatory Networks for Alzheimer's Disease and Epilepsy |
title_fullStr | Analysis of Shared Genetic Regulatory Networks for Alzheimer's Disease and Epilepsy |
title_full_unstemmed | Analysis of Shared Genetic Regulatory Networks for Alzheimer's Disease and Epilepsy |
title_short | Analysis of Shared Genetic Regulatory Networks for Alzheimer's Disease and Epilepsy |
title_sort | analysis of shared genetic regulatory networks for alzheimer's disease and epilepsy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538392/ https://www.ncbi.nlm.nih.gov/pubmed/34697589 http://dx.doi.org/10.1155/2021/6692974 |
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