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    dct:description "We used machine learning models to systematically integrate large-scale multi-omics data from genomics, DNA methylation in blood, and nasal and environmental factors. We firstly evaluated the prediction power of each omics layer and identified that the prediction power was largely attributed to nasal methylation. We further built a prediction model based on only three nasal CpG sites that can predict childhood allergic disease."@en,
        ""@nl ;
    dct:identifier <https://metadata.ega-archive.org/studies/EGAS00001005189> ;
    dct:issued "2026-03-06T10:27:09.426757"^^xsd:dateTime ;
    dct:modified "2026-04-12T17:00:44.713817"^^xsd:dateTime ;
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                ""@nl ] ;
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    dct:title "Nasal DNA methylation at three CpG sites predicts childhood allergic disease"@en,
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    dcat:keyword "allergy"@en,
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