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• W4310493863 abstract "Abstract Childhood allergic diseases, including asthma, rhinitis and eczema, are prevalent conditions that share strong genetic and environmental components. Diagnosis relies on clinical history and measurements of allergen-specific IgE. We hypothesize that a multi-omics model could accurately diagnose childhood allergic disease. We show that nasal DNA methylation has the strongest predictive power to diagnose childhood allergy, surpassing blood DNA methylation, genetic risk scores, and environmental factors. DNA methylation at only three nasal CpG sites classifies allergic disease in Dutch children aged 16 years well, with an area under the curve (AUC) of 0.86. This is replicated in Puerto Rican children aged 9–20 years (AUC 0.82). DNA methylation at these CpGs additionally detects allergic multimorbidity and symptomatic IgE sensitization. Using nasal single-cell RNA-sequencing data, these three CpGs associate with influx of T cells and macrophages that contribute to allergic inflammation. Our study suggests the potential of methylation-based allergy diagnosis." @default.
• W4310493863 created "2022-12-11" @default.
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• W4310493863 date "2022-12-01" @default.
• W4310493863 modified "2023-10-01" @default.
• W4310493863 title "Nasal DNA methylation at three CpG sites predicts childhood allergic disease" @default.
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• W4310493863 doi "https://doi.org/10.1038/s41467-022-35088-6" @default.
• W4310493863 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36456559" @default.
• W4310493863 hasPublicationYear "2022" @default.
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