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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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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 |
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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 |
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