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Genome-wide DNA methylation analysis of pulmonary function in middle and old-aged Chinese monozygotic twins
BACKGROUND: Previous studies have determined the epigenetic association between DNA methylation and pulmonary function among various ethnics, whereas this association is largely unknown in Chinese adults. Thus, we aimed to explore epigenetic relationships between genome-wide DNA methylation levels a...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609861/ https://www.ncbi.nlm.nih.gov/pubmed/34809630 http://dx.doi.org/10.1186/s12931-021-01896-5 |
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author | Wang, Tong Wang, Weijing Li, Weilong Duan, Haiping Xu, Chunsheng Tian, Xiaocao Zhang, Dongfeng |
author_facet | Wang, Tong Wang, Weijing Li, Weilong Duan, Haiping Xu, Chunsheng Tian, Xiaocao Zhang, Dongfeng |
author_sort | Wang, Tong |
collection | PubMed |
description | BACKGROUND: Previous studies have determined the epigenetic association between DNA methylation and pulmonary function among various ethnics, whereas this association is largely unknown in Chinese adults. Thus, we aimed to explore epigenetic relationships between genome-wide DNA methylation levels and pulmonary function among middle-aged Chinese monozygotic twins. METHODS: The monozygotic twin sample was drawn from the Qingdao Twin Registry. Pulmonary function was measured by three parameters including forced expiratory volume the first second (FEV1), forced vital capacity (FVC), and FEV1/FVC ratio. Linear mixed effect model was used to regress the methylation level of CpG sites on pulmonary function. After that, we applied Genomic Regions Enrichment of Annotations Tool (GREAT) to predict the genomic regions enrichment, and used comb-p python library to detect differentially methylated regions (DMRs). Gene expression analysis was conducted to validate the results of differentially methylated analyses. RESULTS: We identified 112 CpG sites with the level of P < 1 × 10(–4) which were annotated to 40 genes. We identified 12 common enriched pathways of three pulmonary function parameters. We detected 39 DMRs located at 23 genes, of which PRDM1 was related to decreased pulmonary function, and MPL, LTB4R2, and EPHB3 were related to increased pulmonary function. The gene expression analyses validated DIP2C, ASB2, SLC6A5, and GAS6 related to decreased pulmonary function. CONCLUSION: Our DNA methylation sequencing analysis on identical twins provides new references for the epigenetic regulation on pulmonary function. Several CpG sites, genes, biological pathways and DMRs are considered as possible crucial to pulmonary function. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-021-01896-5. |
format | Online Article Text |
id | pubmed-8609861 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86098612021-11-29 Genome-wide DNA methylation analysis of pulmonary function in middle and old-aged Chinese monozygotic twins Wang, Tong Wang, Weijing Li, Weilong Duan, Haiping Xu, Chunsheng Tian, Xiaocao Zhang, Dongfeng Respir Res Research BACKGROUND: Previous studies have determined the epigenetic association between DNA methylation and pulmonary function among various ethnics, whereas this association is largely unknown in Chinese adults. Thus, we aimed to explore epigenetic relationships between genome-wide DNA methylation levels and pulmonary function among middle-aged Chinese monozygotic twins. METHODS: The monozygotic twin sample was drawn from the Qingdao Twin Registry. Pulmonary function was measured by three parameters including forced expiratory volume the first second (FEV1), forced vital capacity (FVC), and FEV1/FVC ratio. Linear mixed effect model was used to regress the methylation level of CpG sites on pulmonary function. After that, we applied Genomic Regions Enrichment of Annotations Tool (GREAT) to predict the genomic regions enrichment, and used comb-p python library to detect differentially methylated regions (DMRs). Gene expression analysis was conducted to validate the results of differentially methylated analyses. RESULTS: We identified 112 CpG sites with the level of P < 1 × 10(–4) which were annotated to 40 genes. We identified 12 common enriched pathways of three pulmonary function parameters. We detected 39 DMRs located at 23 genes, of which PRDM1 was related to decreased pulmonary function, and MPL, LTB4R2, and EPHB3 were related to increased pulmonary function. The gene expression analyses validated DIP2C, ASB2, SLC6A5, and GAS6 related to decreased pulmonary function. CONCLUSION: Our DNA methylation sequencing analysis on identical twins provides new references for the epigenetic regulation on pulmonary function. Several CpG sites, genes, biological pathways and DMRs are considered as possible crucial to pulmonary function. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-021-01896-5. BioMed Central 2021-11-22 2021 /pmc/articles/PMC8609861/ /pubmed/34809630 http://dx.doi.org/10.1186/s12931-021-01896-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wang, Tong Wang, Weijing Li, Weilong Duan, Haiping Xu, Chunsheng Tian, Xiaocao Zhang, Dongfeng Genome-wide DNA methylation analysis of pulmonary function in middle and old-aged Chinese monozygotic twins |
title | Genome-wide DNA methylation analysis of pulmonary function in middle and old-aged Chinese monozygotic twins |
title_full | Genome-wide DNA methylation analysis of pulmonary function in middle and old-aged Chinese monozygotic twins |
title_fullStr | Genome-wide DNA methylation analysis of pulmonary function in middle and old-aged Chinese monozygotic twins |
title_full_unstemmed | Genome-wide DNA methylation analysis of pulmonary function in middle and old-aged Chinese monozygotic twins |
title_short | Genome-wide DNA methylation analysis of pulmonary function in middle and old-aged Chinese monozygotic twins |
title_sort | genome-wide dna methylation analysis of pulmonary function in middle and old-aged chinese monozygotic twins |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609861/ https://www.ncbi.nlm.nih.gov/pubmed/34809630 http://dx.doi.org/10.1186/s12931-021-01896-5 |
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