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Epigenome-wide association study in Chinese monozygotic twins identifies DNA methylation loci associated with blood pressure

BACKGROUND: Hypertension is a crucial risk factor for developing cardiovascular disease and reducing life expectancy. We aimed to detect DNA methylation (DNAm) variants potentially related to systolic blood pressure (SBP) and diastolic blood pressure (DBP) by conducting epigenome-wide association st...

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Autores principales: Wang, Weijing, Yao, Jie, Li, Weilong, Wu, Yili, Duan, Haiping, Xu, Chunsheng, Tian, Xiaocao, Li, Shuxia, Tan, Qihua, Zhang, Dongfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985232/
https://www.ncbi.nlm.nih.gov/pubmed/36869404
http://dx.doi.org/10.1186/s13148-023-01457-1
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author Wang, Weijing
Yao, Jie
Li, Weilong
Wu, Yili
Duan, Haiping
Xu, Chunsheng
Tian, Xiaocao
Li, Shuxia
Tan, Qihua
Zhang, Dongfeng
author_facet Wang, Weijing
Yao, Jie
Li, Weilong
Wu, Yili
Duan, Haiping
Xu, Chunsheng
Tian, Xiaocao
Li, Shuxia
Tan, Qihua
Zhang, Dongfeng
author_sort Wang, Weijing
collection PubMed
description BACKGROUND: Hypertension is a crucial risk factor for developing cardiovascular disease and reducing life expectancy. We aimed to detect DNA methylation (DNAm) variants potentially related to systolic blood pressure (SBP) and diastolic blood pressure (DBP) by conducting epigenome-wide association studies in 60 and 59 Chinese monozygotic twin pairs, respectively. METHODS: Genome-wide DNA methylation profiling in whole blood of twins was performed using Reduced Representation Bisulfite Sequencing, yielding 551,447 raw CpGs. Association between DNAm of single CpG and blood pressure was tested by applying generalized estimation equation. Differentially methylated regions (DMRs) were identified by comb-P approach. Inference about Causation through Examination of Familial Confounding was utilized to perform the causal inference. Ontology enrichment analysis was performed using Genomic Regions Enrichment of Annotations Tool. Candidate CpGs were quantified using Sequenom MassARRAY platform in a community population. Weighted gene co-expression network analysis (WGCNA) was conducted using gene expression data. RESULTS: The median age of twins was 52 years (95% range 40, 66). For SBP, 31 top CpGs (p < 1 × 10(–4)) and 8 DMRs were identified, with several DMRs within NFATC1, CADM2, IRX1, COL5A1, and LRAT. For DBP, 43 top CpGs (p < 1 × 10(–4)) and 12 DMRs were identified, with several DMRs within WNT3A, CNOT10, and DAB2IP. Important pathways, such as Notch signaling pathway, p53 pathway by glucose deprivation, and Wnt signaling pathway, were significantly enriched for SBP and DBP. Causal inference analysis suggested that DNAm at top CpGs within NDE1, MYH11, SRRM1P2, and SMPD4 influenced SBP, while SBP influenced DNAm at CpGs within TNK2. DNAm at top CpGs within WNT3A influenced DBP, while DBP influenced DNAm at CpGs within GNA14. Three CpGs mapped to WNT3A and one CpG mapped to COL5A1 were validated in a community population, with a hypermethylated and hypomethylated direction in hypertension cases, respectively. Gene expression analysis by WGCNA further identified some common genes and enrichment terms. CONCLUSION: We detect many DNAm variants that may be associated with blood pressure in whole blood, particularly the loci within WNT3A and COL5A1. Our findings provide new clues to the epigenetic modification underlying hypertension pathogenesis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-023-01457-1.
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spelling pubmed-99852322023-03-05 Epigenome-wide association study in Chinese monozygotic twins identifies DNA methylation loci associated with blood pressure Wang, Weijing Yao, Jie Li, Weilong Wu, Yili Duan, Haiping Xu, Chunsheng Tian, Xiaocao Li, Shuxia Tan, Qihua Zhang, Dongfeng Clin Epigenetics Research BACKGROUND: Hypertension is a crucial risk factor for developing cardiovascular disease and reducing life expectancy. We aimed to detect DNA methylation (DNAm) variants potentially related to systolic blood pressure (SBP) and diastolic blood pressure (DBP) by conducting epigenome-wide association studies in 60 and 59 Chinese monozygotic twin pairs, respectively. METHODS: Genome-wide DNA methylation profiling in whole blood of twins was performed using Reduced Representation Bisulfite Sequencing, yielding 551,447 raw CpGs. Association between DNAm of single CpG and blood pressure was tested by applying generalized estimation equation. Differentially methylated regions (DMRs) were identified by comb-P approach. Inference about Causation through Examination of Familial Confounding was utilized to perform the causal inference. Ontology enrichment analysis was performed using Genomic Regions Enrichment of Annotations Tool. Candidate CpGs were quantified using Sequenom MassARRAY platform in a community population. Weighted gene co-expression network analysis (WGCNA) was conducted using gene expression data. RESULTS: The median age of twins was 52 years (95% range 40, 66). For SBP, 31 top CpGs (p < 1 × 10(–4)) and 8 DMRs were identified, with several DMRs within NFATC1, CADM2, IRX1, COL5A1, and LRAT. For DBP, 43 top CpGs (p < 1 × 10(–4)) and 12 DMRs were identified, with several DMRs within WNT3A, CNOT10, and DAB2IP. Important pathways, such as Notch signaling pathway, p53 pathway by glucose deprivation, and Wnt signaling pathway, were significantly enriched for SBP and DBP. Causal inference analysis suggested that DNAm at top CpGs within NDE1, MYH11, SRRM1P2, and SMPD4 influenced SBP, while SBP influenced DNAm at CpGs within TNK2. DNAm at top CpGs within WNT3A influenced DBP, while DBP influenced DNAm at CpGs within GNA14. Three CpGs mapped to WNT3A and one CpG mapped to COL5A1 were validated in a community population, with a hypermethylated and hypomethylated direction in hypertension cases, respectively. Gene expression analysis by WGCNA further identified some common genes and enrichment terms. CONCLUSION: We detect many DNAm variants that may be associated with blood pressure in whole blood, particularly the loci within WNT3A and COL5A1. Our findings provide new clues to the epigenetic modification underlying hypertension pathogenesis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-023-01457-1. BioMed Central 2023-03-03 /pmc/articles/PMC9985232/ /pubmed/36869404 http://dx.doi.org/10.1186/s13148-023-01457-1 Text en © The Author(s) 2023 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, Weijing
Yao, Jie
Li, Weilong
Wu, Yili
Duan, Haiping
Xu, Chunsheng
Tian, Xiaocao
Li, Shuxia
Tan, Qihua
Zhang, Dongfeng
Epigenome-wide association study in Chinese monozygotic twins identifies DNA methylation loci associated with blood pressure
title Epigenome-wide association study in Chinese monozygotic twins identifies DNA methylation loci associated with blood pressure
title_full Epigenome-wide association study in Chinese monozygotic twins identifies DNA methylation loci associated with blood pressure
title_fullStr Epigenome-wide association study in Chinese monozygotic twins identifies DNA methylation loci associated with blood pressure
title_full_unstemmed Epigenome-wide association study in Chinese monozygotic twins identifies DNA methylation loci associated with blood pressure
title_short Epigenome-wide association study in Chinese monozygotic twins identifies DNA methylation loci associated with blood pressure
title_sort epigenome-wide association study in chinese monozygotic twins identifies dna methylation loci associated with blood pressure
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985232/
https://www.ncbi.nlm.nih.gov/pubmed/36869404
http://dx.doi.org/10.1186/s13148-023-01457-1
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