Back

Multi-Ancestry Epigenome-Wide Meta-Analysis Identifies Novel Bulk and Cell-Type-Specific Epigenetic Markers of Asthma with Severe Exacerbations

Perez-Garcia, J.; Martin-Gonzalez, E.; Chen, Z. J.; Martin-Almeida, M.; Witonsky, J.; Gorla, A.; Eng, C.; Lorenzo-Diaz, F.; Bozack, A. K.; Elhawary, J.; Hu, D.; Huntsman, S.; Gonzalez-Perez, R.; Hernandez-Perez, J. M.; Poza-Guedes, P.; Mederos-Luis, E.; Sanchez-Machin, I.; Rodriguez-Santana, J.; Villar, J.; Rifas-Shiman, S. L.; Hivert, M.-F.; Oken, E.; Gold, D. R.; Ziv, E.; Rahmani, E.; Gonzalez Burchard, E.; Cardenas, A.; Pino-Yanes, M.

2026-04-18 allergy and immunology
10.64898/2026.04.16.26350345 medRxiv
Show abstract

BackgroundExtreme-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. MethodsWe 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. ResultsDNAm 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 [&ge;]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. ConclusionsThe 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.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Journal of Allergy and Clinical Immunology
25 papers in training set
Top 0.1%
14.1%
2
Nature Communications
4913 papers in training set
Top 23%
8.3%
3
Allergy
23 papers in training set
Top 0.1%
4.8%
4
Thorax
32 papers in training set
Top 0.2%
4.8%
5
European Respiratory Journal
54 papers in training set
Top 0.4%
4.3%
6
Clinical Infectious Diseases
231 papers in training set
Top 1%
4.2%
7
British Journal of Anaesthesia
14 papers in training set
Top 0.2%
4.1%
8
Cell Genomics
162 papers in training set
Top 1%
3.9%
9
The American Journal of Human Genetics
206 papers in training set
Top 1%
3.9%
50% of probability mass above
10
The Journal of Infectious Diseases
182 papers in training set
Top 1%
3.5%
11
Clinical Epigenetics
53 papers in training set
Top 0.3%
3.5%
12
Journal of Clinical Investigation
164 papers in training set
Top 1%
3.5%
13
eBioMedicine
130 papers in training set
Top 0.6%
2.6%
14
JCI Insight
241 papers in training set
Top 2%
2.3%
15
Cell Reports
1338 papers in training set
Top 21%
2.0%
16
American Journal of Respiratory and Critical Care Medicine
39 papers in training set
Top 0.5%
1.8%
17
Mucosal Immunology
42 papers in training set
Top 0.2%
1.7%
18
The Lancet Respiratory Medicine
17 papers in training set
Top 0.1%
1.7%
19
eLife
5422 papers in training set
Top 43%
1.7%
20
Nature Immunology
71 papers in training set
Top 1%
1.6%
21
Nature Genetics
240 papers in training set
Top 6%
1.2%
22
Science Advances
1098 papers in training set
Top 24%
1.2%
23
Molecular Psychiatry
242 papers in training set
Top 3%
1.1%
24
Genome Medicine
154 papers in training set
Top 7%
0.9%
25
Genetics
225 papers in training set
Top 3%
0.9%
26
Science Immunology
81 papers in training set
Top 2%
0.9%
27
PLOS ONE
4510 papers in training set
Top 65%
0.8%
28
Pediatric Pulmonology
14 papers in training set
Top 0.4%
0.7%
29
International Journal of Epidemiology
74 papers in training set
Top 3%
0.7%
30
Respiratory Research
19 papers in training set
Top 0.6%
0.7%