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Epigenetic analysis of Paget’s disease of bone identifies differentially methylated loci that predict disease status
Paget’s disease of bone (PDB) is characterized by focal increases in disorganized bone remodeling. This study aims to characterize PDB-associated changes in DNA methylation profiles in patients’ blood. Meta-analysis of data from the discovery and cross-validation set, each comprising 116 PDB cases a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184208/ https://www.ncbi.nlm.nih.gov/pubmed/33929316 http://dx.doi.org/10.7554/eLife.65715 |
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author | Diboun, Ilhame Wani, Sachin Ralston, Stuart H Albagha, Omar ME |
author_facet | Diboun, Ilhame Wani, Sachin Ralston, Stuart H Albagha, Omar ME |
author_sort | Diboun, Ilhame |
collection | PubMed |
description | Paget’s disease of bone (PDB) is characterized by focal increases in disorganized bone remodeling. This study aims to characterize PDB-associated changes in DNA methylation profiles in patients’ blood. Meta-analysis of data from the discovery and cross-validation set, each comprising 116 PDB cases and 130 controls, revealed significant differences in DNA methylation at 14 CpG sites, 4 CpG islands, and 6 gene-body regions. These loci, including two characterized as functional through expression quantitative trait-methylation analysis, were associated with functions related to osteoclast differentiation, mechanical loading, immune function, and viral infection. A multivariate classifier based on discovery samples was found to discriminate PDB cases and controls from the cross-validation with a sensitivity of 0.84, specificity of 0.81, and an area under curve of 92.8%. In conclusion, this study has shown for the first time that epigenetic factors contribute to the pathogenesis of PDB and may offer diagnostic markers for prediction of the disease. |
format | Online Article Text |
id | pubmed-8184208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-81842082021-06-09 Epigenetic analysis of Paget’s disease of bone identifies differentially methylated loci that predict disease status Diboun, Ilhame Wani, Sachin Ralston, Stuart H Albagha, Omar ME eLife Chromosomes and Gene Expression Paget’s disease of bone (PDB) is characterized by focal increases in disorganized bone remodeling. This study aims to characterize PDB-associated changes in DNA methylation profiles in patients’ blood. Meta-analysis of data from the discovery and cross-validation set, each comprising 116 PDB cases and 130 controls, revealed significant differences in DNA methylation at 14 CpG sites, 4 CpG islands, and 6 gene-body regions. These loci, including two characterized as functional through expression quantitative trait-methylation analysis, were associated with functions related to osteoclast differentiation, mechanical loading, immune function, and viral infection. A multivariate classifier based on discovery samples was found to discriminate PDB cases and controls from the cross-validation with a sensitivity of 0.84, specificity of 0.81, and an area under curve of 92.8%. In conclusion, this study has shown for the first time that epigenetic factors contribute to the pathogenesis of PDB and may offer diagnostic markers for prediction of the disease. eLife Sciences Publications, Ltd 2021-04-30 /pmc/articles/PMC8184208/ /pubmed/33929316 http://dx.doi.org/10.7554/eLife.65715 Text en © 2021, Diboun et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Chromosomes and Gene Expression Diboun, Ilhame Wani, Sachin Ralston, Stuart H Albagha, Omar ME Epigenetic analysis of Paget’s disease of bone identifies differentially methylated loci that predict disease status |
title | Epigenetic analysis of Paget’s disease of bone identifies differentially methylated loci that predict disease status |
title_full | Epigenetic analysis of Paget’s disease of bone identifies differentially methylated loci that predict disease status |
title_fullStr | Epigenetic analysis of Paget’s disease of bone identifies differentially methylated loci that predict disease status |
title_full_unstemmed | Epigenetic analysis of Paget’s disease of bone identifies differentially methylated loci that predict disease status |
title_short | Epigenetic analysis of Paget’s disease of bone identifies differentially methylated loci that predict disease status |
title_sort | epigenetic analysis of paget’s disease of bone identifies differentially methylated loci that predict disease status |
topic | Chromosomes and Gene Expression |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184208/ https://www.ncbi.nlm.nih.gov/pubmed/33929316 http://dx.doi.org/10.7554/eLife.65715 |
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