Cargando…

Detection and Comparative Analysis of Methylomic Biomarkers of Rheumatoid Arthritis

Rheumatoid arthritis (RA) is a common autoimmune disorder influenced by both genetic and environmental factors. To investigate possible contributions of DNA methylation to the etiology of RA with minimum confounding genetic heterogeneity, we investigated genome-wide DNA methylation in disease-discor...

Descripción completa

Detalles Bibliográficos
Autores principales: Feng, Xin, Hao, Xubing, Shi, Ruoyao, Xia, Zhiqiang, Huang, Lan, Yu, Qiong, Zhou, Fengfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7119472/
https://www.ncbi.nlm.nih.gov/pubmed/32292416
http://dx.doi.org/10.3389/fgene.2020.00238
_version_ 1783514772955725824
author Feng, Xin
Hao, Xubing
Shi, Ruoyao
Xia, Zhiqiang
Huang, Lan
Yu, Qiong
Zhou, Fengfeng
author_facet Feng, Xin
Hao, Xubing
Shi, Ruoyao
Xia, Zhiqiang
Huang, Lan
Yu, Qiong
Zhou, Fengfeng
author_sort Feng, Xin
collection PubMed
description Rheumatoid arthritis (RA) is a common autoimmune disorder influenced by both genetic and environmental factors. To investigate possible contributions of DNA methylation to the etiology of RA with minimum confounding genetic heterogeneity, we investigated genome-wide DNA methylation in disease-discordant monozygotic twin pairs. This study hypothesized that methylomic biomarkers might facilitate accurate RA detection. A comprehensive series of biomarker detection algorithms were utilized to find the best methylomic biomarkers for detecting RA patients using the methylomic data of the peripheral blood samples. The best model achieved 100.00% in accuracy (Acc) with 81 methylomic biomarkers and a 10-fold cross-validation (10FCV) strategy. Some of the methylomic biomarkers were experimentally confirmed to be associated with the onset or development of RA. It is also interesting to observe that many of the detected biomarkers were from chromosome Y, supporting the knowledge that RA has a significant gender discrepancy.
format Online
Article
Text
id pubmed-7119472
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-71194722020-04-14 Detection and Comparative Analysis of Methylomic Biomarkers of Rheumatoid Arthritis Feng, Xin Hao, Xubing Shi, Ruoyao Xia, Zhiqiang Huang, Lan Yu, Qiong Zhou, Fengfeng Front Genet Genetics Rheumatoid arthritis (RA) is a common autoimmune disorder influenced by both genetic and environmental factors. To investigate possible contributions of DNA methylation to the etiology of RA with minimum confounding genetic heterogeneity, we investigated genome-wide DNA methylation in disease-discordant monozygotic twin pairs. This study hypothesized that methylomic biomarkers might facilitate accurate RA detection. A comprehensive series of biomarker detection algorithms were utilized to find the best methylomic biomarkers for detecting RA patients using the methylomic data of the peripheral blood samples. The best model achieved 100.00% in accuracy (Acc) with 81 methylomic biomarkers and a 10-fold cross-validation (10FCV) strategy. Some of the methylomic biomarkers were experimentally confirmed to be associated with the onset or development of RA. It is also interesting to observe that many of the detected biomarkers were from chromosome Y, supporting the knowledge that RA has a significant gender discrepancy. Frontiers Media S.A. 2020-03-27 /pmc/articles/PMC7119472/ /pubmed/32292416 http://dx.doi.org/10.3389/fgene.2020.00238 Text en Copyright © 2020 Feng, Hao, Shi, Xia, Huang, Yu and Zhou. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Feng, Xin
Hao, Xubing
Shi, Ruoyao
Xia, Zhiqiang
Huang, Lan
Yu, Qiong
Zhou, Fengfeng
Detection and Comparative Analysis of Methylomic Biomarkers of Rheumatoid Arthritis
title Detection and Comparative Analysis of Methylomic Biomarkers of Rheumatoid Arthritis
title_full Detection and Comparative Analysis of Methylomic Biomarkers of Rheumatoid Arthritis
title_fullStr Detection and Comparative Analysis of Methylomic Biomarkers of Rheumatoid Arthritis
title_full_unstemmed Detection and Comparative Analysis of Methylomic Biomarkers of Rheumatoid Arthritis
title_short Detection and Comparative Analysis of Methylomic Biomarkers of Rheumatoid Arthritis
title_sort detection and comparative analysis of methylomic biomarkers of rheumatoid arthritis
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7119472/
https://www.ncbi.nlm.nih.gov/pubmed/32292416
http://dx.doi.org/10.3389/fgene.2020.00238
work_keys_str_mv AT fengxin detectionandcomparativeanalysisofmethylomicbiomarkersofrheumatoidarthritis
AT haoxubing detectionandcomparativeanalysisofmethylomicbiomarkersofrheumatoidarthritis
AT shiruoyao detectionandcomparativeanalysisofmethylomicbiomarkersofrheumatoidarthritis
AT xiazhiqiang detectionandcomparativeanalysisofmethylomicbiomarkersofrheumatoidarthritis
AT huanglan detectionandcomparativeanalysisofmethylomicbiomarkersofrheumatoidarthritis
AT yuqiong detectionandcomparativeanalysisofmethylomicbiomarkersofrheumatoidarthritis
AT zhoufengfeng detectionandcomparativeanalysisofmethylomicbiomarkersofrheumatoidarthritis