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Pathway and network analysis of genes related to osteoporosis
As a common degenerative disease, osteoporosis (OS) is characterized by reduced bone mass and microarchitectural deterioration of bone tissue. Both genetic and environmental factors are involved in OS development. To date, ~300 genes have been confirmed to be involved in the pathogenesis of OS, a la...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625186/ https://www.ncbi.nlm.nih.gov/pubmed/31173222 http://dx.doi.org/10.3892/mmr.2019.10353 |
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author | Guo, Lin Han, Jia Guo, Hao Lv, Dongmei Wang, Yun |
author_facet | Guo, Lin Han, Jia Guo, Hao Lv, Dongmei Wang, Yun |
author_sort | Guo, Lin |
collection | PubMed |
description | As a common degenerative disease, osteoporosis (OS) is characterized by reduced bone mass and microarchitectural deterioration of bone tissue. Both genetic and environmental factors are involved in OS development. To date, ~300 genes have been confirmed to be involved in the pathogenesis of OS, a large majority of which have been independently investigated. As OS is a polygenetic disease, a comprehensive analysis focusing on the biological functions and interactions of OS-related genes would provide valuable information. In this study, OS related research deposited in PubMed was retrieved and genes related to OS were catalogued. Pathways with an enriched biological function for these genes were extracted, and the crosstalk between the enriched pathways was analyzed. A comprehensive network was constructed, and a minimal network was extracted using the Steiner minimal network algorithm. In this study, a total of 294 genes in were retrieved from PubMed. Biological processes found to be enriched included those related to bone metabolism and the immune system. In total, 58 pathways were enriched. Furthermore, the comprehensive network consisting of 3,943 nodes and 7,976 edges was constructed, among which 631 nodes and 2,581 edges contributed to the OS-specific molecular network. In this network, in excess of 300 potential genes associated with OS and two modules were identified. Thus, this study provides a mechanistic insight into OS and suggests more than 300 potential OS-related genes for future research. |
format | Online Article Text |
id | pubmed-6625186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-66251862019-07-31 Pathway and network analysis of genes related to osteoporosis Guo, Lin Han, Jia Guo, Hao Lv, Dongmei Wang, Yun Mol Med Rep Articles As a common degenerative disease, osteoporosis (OS) is characterized by reduced bone mass and microarchitectural deterioration of bone tissue. Both genetic and environmental factors are involved in OS development. To date, ~300 genes have been confirmed to be involved in the pathogenesis of OS, a large majority of which have been independently investigated. As OS is a polygenetic disease, a comprehensive analysis focusing on the biological functions and interactions of OS-related genes would provide valuable information. In this study, OS related research deposited in PubMed was retrieved and genes related to OS were catalogued. Pathways with an enriched biological function for these genes were extracted, and the crosstalk between the enriched pathways was analyzed. A comprehensive network was constructed, and a minimal network was extracted using the Steiner minimal network algorithm. In this study, a total of 294 genes in were retrieved from PubMed. Biological processes found to be enriched included those related to bone metabolism and the immune system. In total, 58 pathways were enriched. Furthermore, the comprehensive network consisting of 3,943 nodes and 7,976 edges was constructed, among which 631 nodes and 2,581 edges contributed to the OS-specific molecular network. In this network, in excess of 300 potential genes associated with OS and two modules were identified. Thus, this study provides a mechanistic insight into OS and suggests more than 300 potential OS-related genes for future research. D.A. Spandidos 2019-08 2019-06-06 /pmc/articles/PMC6625186/ /pubmed/31173222 http://dx.doi.org/10.3892/mmr.2019.10353 Text en Copyright: © Guo et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Guo, Lin Han, Jia Guo, Hao Lv, Dongmei Wang, Yun Pathway and network analysis of genes related to osteoporosis |
title | Pathway and network analysis of genes related to osteoporosis |
title_full | Pathway and network analysis of genes related to osteoporosis |
title_fullStr | Pathway and network analysis of genes related to osteoporosis |
title_full_unstemmed | Pathway and network analysis of genes related to osteoporosis |
title_short | Pathway and network analysis of genes related to osteoporosis |
title_sort | pathway and network analysis of genes related to osteoporosis |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625186/ https://www.ncbi.nlm.nih.gov/pubmed/31173222 http://dx.doi.org/10.3892/mmr.2019.10353 |
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