ArticleBiomolecules2025
Blood-Based EWAS of Asthma Polygenic Burden in The Netherlands Twin Register.
Article in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Pathway-level epigenetic modeling illuminates the methylation architecture to asthma risk across tissues.Epigenetics & chromatin · 2026Article
- Single-cell transcriptome sequencing reveals immunological mechanisms by which recombinant Echinococcus granulosus P29 protein alleviates airway inflammation in mice with allergic asthma.Parasites & vectors · 2026Article
- The Immunomodulatory Role of Mesenchymal Stem Cell-Derived Exosomes in the Treatment of Asthma.International journal of nanomedicine · 2026Review
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Authors and funding
13 authors.
Funding
Abstract
Asthma, a chronic respiratory condition characterized by airway inflammation, affects millions of individuals worldwide. Challenges remain in asthma prediction and diagnosis from its complex etiology involving genetic and environmental factors. Here, we investigated the relationship between genome-wide DNA methylation and genetic risk for asthma quantified via polygenic scores in two cohorts from the Netherlands Twin Register; one enriched with asthmatic families measured on the Illumina EPIC array (n = 526) and a general population cohort measured on the Illumina HM450K array (n = 2680). We performed epigenome-wide association studies of asthma polygenic scores in each cohort with results combined through meta-analysis (total samples = 3206). The EWAS meta-analysis identified 63 significantly associated CpGs, (following Bonferroni correction, α = 0.05/358,316). An investigation of previous mQTL associations identified 48 mQTL associations between 24 unique CpGs and 48 SNPs, of which two SNPs have previous associations with asthma. Enrichment analysis using the 63 significant CpGs highlighted previous associations with ancestry, smoking, and air pollution. A dizygotic twin within-pair analysis of the 63 CpGs revealed similar directional effects between the two cohorts in 33 of the 63 CpGs. These findings further characterize the intricate relationship between DNA methylation and genetics relative to asthma.
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Registered trials
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