ArticleChest2020
Expression Quantitative Trait Methylation Analysis Reveals Methylomic Associations With Gene Expression in Childhood Asthma.
Article in Chest, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed, 36 citations in OpenAlex.
- eQTM (expression quantitative trait methylation) Atlas: a comprehensive resource of over 11 million DNA methylation-gene expression associations through across 11 tissues and 4 diseases.bioRxiv : the preprint server for biology · 2026Article
- Estimating in silico causal effects of DNA methylation on gene expression through genetic anchors in airway epithelium in asthma.Science advances · 2026Article
- Methylome and transcriptome analysis reveal the impact of psychological stress on the skin.Molecular genetics and genomics : MGG · 2026Article
- Airway epithelial dysfunction in asthma pathogenesis: epigenetic mechanisms, inflammatory crosstalk, and therapeutic opportunities.Frontiers in allergy · 2026Review
- The epigenetic-immune-microbiome axis in early life: reprogramming the origins and endotypes of pediatric asthma.Frontiers in immunology · 2026Review
- Pathway information on methylation analysis using deep neural network (PROMINENT): An interpretable deep learning method with pathway prior for phenotype prediction using gene-level DNA methylation.Artificial intelligence in medicine · 2025Article
- Placental DNA methylation key topics: sex- and cell-type specificity, mediation, multi-omics, and biomarker discovery.Epigenomics · 2025Review
- MOSES: a methylation-based gene association approach for unveiling environmentally regulated genes linked to a trait or disease.Clinical epigenetics · 2024Article
- Overview of chromatin regulatory processes during surface ectodermal development and homeostasis.Developmental biology · 2024Review
- Omics approaches in asthma research: Challenges and opportunities.Chinese medical journal pulmonary and critical care medicine · 2024Review
- Torch-eCpG: a fast and scalable eQTM mapper for thousands of molecular phenotypes with graphical processing units.BMC bioinformatics · 2024Article
- Article
- Cis- and trans-eQTM analysis reveals novel epigenetic and transcriptomic immune markers of atopic asthma in airway epithelium.The Journal of allergy and clinical immunology · 2023Article
- Epigenome-wide association studies of allergic disease and the environment.The Journal of allergy and clinical immunology · 2023Review
- Expression quantitative trait methylation analysis elucidates gene regulatory effects of DNA methylation: the Framingham Heart Study.Scientific reports · 2023Article
- DNA methylation QTL mapping across diverse human tissues provides molecular links between genetic variation and complex traits.Nature genetics · 2023Article
- Deep neural networks with knockoff features identify nonlinear causal relations and estimate effect sizes in complex biological systems.GigaScience · 2022Article
- Multiomic Signatures of Chronic Beryllium Disease Bronchoalveolar Lavage Cells Relate to T-Cell Function and Innate Immunity.American journal of respiratory cell and molecular biology · 2022Article
- Tumor Expression Quantitative Trait Methylation Screening Reveals Distinct CpG Panels for Deconvolving Cancer Immune Signatures.Cancer research · 2022Article
- Identification of autosomal cis expression quantitative trait methylation (cis eQTMs) in children's blood.eLife · 2022Article
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Authors and funding
11 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundNasal (airway) epithelial methylation profiles have been associated with asthma, but the effects of such profiles on expression of distant cis-genes are largely unknown. RESEARCH QUESTION: To identify genes whose expression is associated with proximal and distal CpG probes (within 1 Mb), and to assess whether and how such genes are differentially expressed in atopic asthma. STUDY DESIGN AND
methodsGenome-wide expression quantitative trait methylation (eQTM) analysis in nasal epithelium from Puerto Rican subjects (aged 9-20 years) with (n = 219) and without (n = 236) asthma. After the eQTM analysis, a Gene Ontology Enrichment analysis was conducted for the top 500 eQTM genes, and mediation analyses were performed to identify paths from DNA methylation to atopic asthma through gene expression. Asthma was defined as physician-diagnosed asthma and wheeze in the previous year, and atopy was defined as at least one positive IgE to allergens. Atopic asthma was defined as the presence of both atopy and asthma.
resultsWe identified 16,867 significant methylation-gene expression pairs (false-discovery rate-adjusted P < .01) in nasal epithelium from study participants. Most eQTM methylation probes were distant (average distance, ∼378 kb) from their target genes, and also more likely to be located in enhancer regions of their target genes in lung tissue than control probes. The top 500 eQTM genes were enriched in pathways for immune processes and epithelial integrity and were more likely to have been previously identified as differentially expressed in atopic asthma. In a mediation analysis, we identified 5,934 paths through which methylation markers could affect atopic asthma through gene expression in nasal epithelium.
interpretationPrevious epigenome-wide association studies of asthma have estimated the effects of DNA methylation markers on expression of nearby genes in airway epithelium. Our findings suggest that distant epigenetic regulation of gene expression in airway epithelium plays a role in atopic asthma.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.