ArticleClinical epigenetics2024
Epigenetic signatures of asthma: a comprehensive study of DNA methylation and clinical markers.
Article in Clinical epigenetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- From Airway Inflammation to Molecular Remodeling: Integrating YKL-40, MBL and Epigenetic Biomarkers in Asthma and COPD.Biomolecules · 2026Review
- Expanding role of cell-free DNA for the early diagnosis and monitoring of pulmonary diseases.Chinese medical journal · 2026Review
- Triggering mechanisms of acute thunderstorm asthma: epithelial barrier disruption and immune dysregulation.Respiratory research · 2026Review
- Two-Level Meta-Analysis of Genetic and Epigenetic Markers of Asthma in Preschool Children.Journal of clinical medicine · 2026Review
- Epigenetics in asthma: implications for treatable traits.Frontiers in allergy · 2026Review
- Airway epithelial dysfunction in asthma pathogenesis: epigenetic mechanisms, inflammatory crosstalk, and therapeutic opportunities.Frontiers in allergy · 2026Review
- Examining the Interaction between Allergic Asthma and Air Pollution: a Potential Role for Trained Immunity.Current allergy and asthma reports · 2025Review
- Review
- Role of Epigenetics in Chronic Lung Disease.Cells · 2025Review
- Article
- Associations of Matrix Metalloproteinase-7 Promoter Genotypes With Asthma Risk in Taiwan.In vivo (Athens, Greece)Article
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Abstract
backgroundAsthma, a complex respiratory disease, presents with inflammatory symptoms in the lungs, blood, and other tissues. We investigated the relationship between DNA methylation and 35 clinical markers of asthma.
methodsThe Illumina Infinium EPIC v1 methylation array was used to evaluate 742,442 CpGs in whole blood from 319 participants from 94 families. They were part of the Netherlands Twin Register from families with at least one member suffering from severe asthma. Repeat blood samples were taken after 10 years from 182 individuals. Principal component analysis on the clinical asthma markers yielded ten principal components (PCs) that explained 92.8% of the total variance. We performed epigenome-wide association studies (EWAS) for each of the ten PCs correcting for familial structure and other covariates.
results221 unique CpGs reached genome-wide significance at timepoint 1 after Bonferroni correction. PC7, which correlated with loadings of eosinophil counts and immunoglobulin levels, accounted for the majority of associations (204). Enrichment analysis via the EWAS Atlas identified 190 of these CpGs to be previously identified in EWASs of asthma and asthma-related traits. Proximity assessment to previously identified SNPs associated with asthma identified 17 unique SNPs within 1 MB of two of the 221 CpGs. EWAS in 182 individuals with epigenetic data at a second timepoint identified 49 significant CpGs. EWAS Atlas enrichment analysis indicated that 4 of the 49 were previously associated with asthma or asthma-related traits. Comparing the estimates of all the significant associations identified across the two time points yielded a correlation of 0.81.
conclusionWe identified 270 unique CpGs that were associated with PC scores generated from 35 clinical markers of asthma, either cross-sectionally or 10 years later. A strong correlation was present between effect sizes at the 2 timepoints. Most associations were identified for PC7, which captured blood eosinophil counts and immunoglobulin levels and many of these CpGs have previous associations in earlier studies of asthma and asthma-related traits. The results point to a robust DNA methylation profile as a new, stable biomarker for asthma.
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