{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T08:14:00Z","timestamp":1791274440926,"version":"4.1.0"},"reference-count":26,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2013,4,29]],"date-time":"2013-04-29T00:00:00Z","timestamp":1367193600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Allergy"],"published-print":{"date-parts":[[2013,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Although atopic sensitization is one of the strongest risk factors for asthma, its relationship with asthma is poorly understood. We hypothesize that \u2018atopy\u2019 encompasses multiple sub\u2010phenotypes that relate to asthma in different ways.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>In two population\u2010based birth cohorts (Manchester and Isle of Wight \u2013 IoW), we used a machine learning approach to independently cluster children into different classes of atopic sensitization in an unsupervised manner, based on skin prick and <jats:styled-content style=\"fixed-case\">sIgE<\/jats:styled-content> tests taken throughout childhood and adolescence. We examined the qualitative cluster properties and their relationship to asthma and lung function.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A five\u2010class solution best described the data in both cohorts, with striking similarity between the classes across the two populations. Compared with nonsensitized class, children in the class with sensitivity to a wide variety of allergens (~1\/3 of children atopic by conventional definition) were much more likely to have asthma (<jats:styled-content style=\"fixed-case\">aOR<\/jats:styled-content> [95% CI0; 20.1 [10.9\u201340.2] in Manchester and 11.9 [7.3\u201319.4] in IoW). The relationship between asthma and conventional atopy was much weaker (5.5 [3.4\u20138.8] in Manchester and 5.8 [4.1\u20138.3] in IoW). In both cohorts, children in this class had significantly poorer lung function (FEV<jats:sub>1<\/jats:sub>\/FVC lower by 4.4% in Manchester and 2.6% in IoW; <jats:italic>P\u00a0<\/jats:italic>&lt;\u00a00.001), most reactive airways, highest <jats:styled-content style=\"fixed-case\">eNO<\/jats:styled-content> and most hospital admissions for asthma (<jats:italic>P\u00a0<\/jats:italic>&lt;\u00a00.001).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>By adopting a machine learning approach to longitudinal data on allergic sensitization from two independent unselected birth cohorts, we identified latent classes with strikingly similar patterns of atopic response and association with clinical outcomes, suggesting the existence of multiple atopy phenotypes.<\/jats:p><\/jats:sec>","DOI":"10.1111\/all.12134","type":"journal-article","created":{"date-parts":[[2013,4,29]],"date-time":"2013-04-29T11:39:01Z","timestamp":1367235541000},"page":"764-770","source":"Crossref","is-referenced-by-count":160,"title":["Multiple atopy phenotypes and their associations with asthma: similar findings from two birth cohorts"],"prefix":"10.1111","volume":"68","author":[{"given":"N.","family":"Lazic","sequence":"first","affiliation":[{"name":"Microsoft Research Cambridge Cambridge"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G.","family":"Roberts","sequence":"additional","affiliation":[{"name":"David Hide Asthma and Allergy Research Centre St Mary's Hospital Newport"},{"name":"Human Developmental and Health Academic Unit University of Southampton Faculty of Medicine Southampton"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.","family":"Custovic","sequence":"additional","affiliation":[{"name":"The University of Manchester Manchester Academic Health Science Centre NIHR Respiratory and Allergy Clinical Research Facility University Hospital of South Manchester NHS Foundation Trust Manchester"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D.","family":"Belgrave","sequence":"additional","affiliation":[{"name":"The University of Manchester Manchester Academic Health Science Centre NIHR Respiratory and Allergy Clinical Research Facility University Hospital of South Manchester NHS Foundation Trust Manchester"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C. M.","family":"Bishop","sequence":"additional","affiliation":[{"name":"Microsoft Research Cambridge Cambridge"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.","family":"Winn","sequence":"additional","affiliation":[{"name":"Microsoft Research Cambridge Cambridge"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J. 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