This meta-analysis examines DNA methylation markers in African American and Latino pediatric populations and ethnically diverse participants to identify associations with asthma exacerbations. The study utilized extreme-phenotype comparisons between non-asthmatics and asthma exacerbators, analyzing whole-genome sequencing data from n=1,668 and RNA-seq data from n=1,209 participants. Additional samples included 1,192 pediatric populations, 1,516 ethnically diverse participants, and 393 nasal samples.
The analysis identified DNAm at 505 CpGs and 119 DMRs in whole blood associated with asthma exacerbations, with results identified at a significance level of p<9x10-8. Replication efforts confirmed 25 CpGs in blood cells, while cross-validation in nasal samples identified 7 CpGs. Furthermore, 42 cell-specific DNAm markers were detected, mainly driven by T cells, and 134 CpGs were associated with gene expression in whole blood.
Additional findings included 118 associations with T-cell receptor genes and 446 CpGs regulated by genetic variants. Methylation-predicted plasma proteins involved in host defense included 21 proteins, and one lung aging clock was associated with asthma exacerbations. The authors suggest these findings point to novel methylation biomarkers and candidate drugs for asthma, while acknowledging that safety data such as adverse events were not reported.
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Background: Extreme-phenotype comparisons allowed the discovery of novel asthma genetic risk loci. However, this approach remains unexplored in epigenome-wide association studies (EWAS). We aimed to identify bulk and cell-specific methylation markers of asthma with severe exacerbations across diverse ancestry groups. Methods: We conducted a meta-EWAS of 739,543 CpGs in whole blood among 1,192 African American and Latino pediatric populations, comparing non-asthmatics and asthma exacerbators. Genome-wide CpGs were followed up for replication in a meta-analysis across 1,516 ethnically diverse participants and in a cross-tissue evaluation of 393 nasal samples. We conducted differentially methylated region (DMRs), cell-type-deconvoluted, and quantitative trait loci analyses (whole-genome sequencing n=1,668; RNA-seq n=1,209). We examined enrichment in traits, pathways, and druggable genes, and analyzed DNAm predictors of plasma proteins and aging. Results: DNAm at 505 CpGs and 119 DMRs in whole blood were associated with asthma exacerbations (p<9x10-8, {lambda}=1.05). We replicated 25 CpGs in blood cells, cross-validated 7 in nasal samples, and detected 42 cell-specific DNAm markers mainly driven by T cells. DNAm at 134 CpGs was associated with gene expression in whole blood, including 118 associations with T-cell receptor genes, and 446 CpGs were regulated by [≥]1 genetic variant. We found enrichment for previous associations with environmental exposures, immune disorders, immune and inflammatory pathways, and druggable genes by developmental drugs. 21 methylation-predicted plasma proteins, involved in host defense, and one lung aging clock were associated with asthma exacerbations. Conclusions: The first meta-EWAS of extreme asthma phenotypes identified hundreds of novel DNAm markers, suggesting novel methylation biomarkers and candidate drugs for asthma and supporting the role of T cells.