Cargando…
Obstructive Sleep Apnea and Dementia-Common Gene Associations through Network-Based Identification of Common Driver Genes
Background: Obstructive Sleep Apnea (OSA) occurs in 7% of the adult population. The relationship between neurodegenerative diseases such as dementia and sleep disorders have long attracted clinical attention; however, no comprehensive data exists elucidating common gene expression between the two di...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069301/ https://www.ncbi.nlm.nih.gov/pubmed/33918603 http://dx.doi.org/10.3390/genes12040542 |
_version_ | 1783683205138743296 |
---|---|
author | Jeong, Hyun-Hwan Chandrakantan, Arvind Adler, Adam C. |
author_facet | Jeong, Hyun-Hwan Chandrakantan, Arvind Adler, Adam C. |
author_sort | Jeong, Hyun-Hwan |
collection | PubMed |
description | Background: Obstructive Sleep Apnea (OSA) occurs in 7% of the adult population. The relationship between neurodegenerative diseases such as dementia and sleep disorders have long attracted clinical attention; however, no comprehensive data exists elucidating common gene expression between the two diseases. The objective of this study was to (1) demonstrate the practicability and feasibility of utilizing a systems biology approach called network-based identification of common driver genes (NICD) to identify common genomic features between two associated diseases and (2) utilize this approach to identify genes associated with both OSA and dementia. Methods: This study utilized 2 public databases (PCNet, DisGeNET) and a permutation assay in order to identify common genes between two co-morbid but mutually exclusive diseases. These genes were then linked to their mechanistic pathways through Enrichr, producing a list of genes that were common between the two different diseases. Results: 42 common genes were identified between OSA and dementia which were primarily linked to the G-coupled protein receptor (GPCR) and olfactory pathways. No single nucleotide polymorphisms (SNPs) were identified. Conclusions: This study demonstrates the viability of using publicly available databases and permutation assays along with canonical pathway linkage to identify common gene drivers as potential mechanistic targets for comorbid diseases. |
format | Online Article Text |
id | pubmed-8069301 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80693012021-04-26 Obstructive Sleep Apnea and Dementia-Common Gene Associations through Network-Based Identification of Common Driver Genes Jeong, Hyun-Hwan Chandrakantan, Arvind Adler, Adam C. Genes (Basel) Article Background: Obstructive Sleep Apnea (OSA) occurs in 7% of the adult population. The relationship between neurodegenerative diseases such as dementia and sleep disorders have long attracted clinical attention; however, no comprehensive data exists elucidating common gene expression between the two diseases. The objective of this study was to (1) demonstrate the practicability and feasibility of utilizing a systems biology approach called network-based identification of common driver genes (NICD) to identify common genomic features between two associated diseases and (2) utilize this approach to identify genes associated with both OSA and dementia. Methods: This study utilized 2 public databases (PCNet, DisGeNET) and a permutation assay in order to identify common genes between two co-morbid but mutually exclusive diseases. These genes were then linked to their mechanistic pathways through Enrichr, producing a list of genes that were common between the two different diseases. Results: 42 common genes were identified between OSA and dementia which were primarily linked to the G-coupled protein receptor (GPCR) and olfactory pathways. No single nucleotide polymorphisms (SNPs) were identified. Conclusions: This study demonstrates the viability of using publicly available databases and permutation assays along with canonical pathway linkage to identify common gene drivers as potential mechanistic targets for comorbid diseases. MDPI 2021-04-09 /pmc/articles/PMC8069301/ /pubmed/33918603 http://dx.doi.org/10.3390/genes12040542 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jeong, Hyun-Hwan Chandrakantan, Arvind Adler, Adam C. Obstructive Sleep Apnea and Dementia-Common Gene Associations through Network-Based Identification of Common Driver Genes |
title | Obstructive Sleep Apnea and Dementia-Common Gene Associations through Network-Based Identification of Common Driver Genes |
title_full | Obstructive Sleep Apnea and Dementia-Common Gene Associations through Network-Based Identification of Common Driver Genes |
title_fullStr | Obstructive Sleep Apnea and Dementia-Common Gene Associations through Network-Based Identification of Common Driver Genes |
title_full_unstemmed | Obstructive Sleep Apnea and Dementia-Common Gene Associations through Network-Based Identification of Common Driver Genes |
title_short | Obstructive Sleep Apnea and Dementia-Common Gene Associations through Network-Based Identification of Common Driver Genes |
title_sort | obstructive sleep apnea and dementia-common gene associations through network-based identification of common driver genes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069301/ https://www.ncbi.nlm.nih.gov/pubmed/33918603 http://dx.doi.org/10.3390/genes12040542 |
work_keys_str_mv | AT jeonghyunhwan obstructivesleepapneaanddementiacommongeneassociationsthroughnetworkbasedidentificationofcommondrivergenes AT chandrakantanarvind obstructivesleepapneaanddementiacommongeneassociationsthroughnetworkbasedidentificationofcommondrivergenes AT adleradamc obstructivesleepapneaanddementiacommongeneassociationsthroughnetworkbasedidentificationofcommondrivergenes |