TY - JOUR
T1 - Epigenetic analysis of paget’s disease of bone identifies differentially methylated loci that predict disease status
AU - Diboun, Ilhame
AU - Wani, Sachin
AU - Ralston, Stuart H.
AU - Albagha, Omar M.E.
N1 - Publisher Copyright:
© 2021, eLife Sciences Publications Ltd. All rights reserved.
PY - 2021/4
Y1 - 2021/4
N2 - 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 of 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 (eQTM) 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.
AB - 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 of 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 (eQTM) 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.
UR - http://www.scopus.com/inward/record.url?scp=85105753330&partnerID=8YFLogxK
U2 - 10.7554/ELIFE.65715
DO - 10.7554/ELIFE.65715
M3 - Article
C2 - 33929316
AN - SCOPUS:85105753330
SN - 2050-084X
VL - 10
JO - eLife
JF - eLife
M1 - e65715
ER -