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...

Descripción completa

Detalles Bibliográficos
Autores principales: Jeong, Hyun-Hwan, Chandrakantan, Arvind, Adler, Adam C.
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