Asthma in farm children is more determined by genetic polymorphisms and in non-farm children by environmental factors
Krautenbacher N, Kabesch M, Horak E, Braun-Fahrlaender C, Genuneit J, Boznanski A, Von Mutius E, Theis F, Fuchs C, Ege MJ (2021)
Publication Type: Journal article
Publication year: 2021
Journal
Book Volume: 32
Pages Range: 295-304
Journal Issue: 2
DOI: 10.1111/pai.13385
Abstract
Background: The asthma syndrome is influenced by hereditary and environmental factors. With the example of farm exposure, we study whether genetic and environmental factors interact for asthma. Methods: Statistical learning approaches based on penalized regression and decision trees were used to predict asthma in the GABRIELA study with 850 cases (9% farm children) and 857 controls (14% farm children). Single-nucleotide polymorphisms (SNPs) were selected from a genome-wide dataset based on a literature search or by statistical selection techniques. Prediction was assessed by receiver operating characteristics (ROC) curves and validated in the PASTURE cohort. Results: Prediction by family history of asthma and atopy yielded an area under the ROC curve (AUC) of 0.62 [0.57-0.66] in the random forest machine learning approach. By adding information on demographics (sex and age) and 26 environmental exposure variables, the quality of prediction significantly improved (AUC = 0.65 [0.61-0.70]). In farm children, however, environmental variables did not improve prediction quality. Rather SNPs related to IL33 and RAD50 contributed significantly to the prediction of asthma (AUC = 0.70 [0.62-0.78]). Conclusions: Asthma in farm children is more likely predicted by other factors as compared to non-farm children though in both forms, family history may integrate environmental exposure, genotype and degree of penetrance.
Involved external institutions
Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (HMGU) / Helmholtz Munich
Germany (DE)
Krankenhaus Barmherzige Brüder
Germany (DE)
Medizinische Universität Innsbruck
Austria (AT)
Schweizerisches Tropen- und Public Health-Institut (Swiss TPH)
Switzerland (CH)
Universität Ulm
Germany (DE)
Wrocław Medical University / Uniwersytet Medyczny we Wrocławiu
Poland (PL)
Deutsches Zentrum für Lungenforschung e.V. (DZL)
Germany (DE)
Germany (DE)
Krankenhaus Barmherzige Brüder
Germany (DE)
Medizinische Universität Innsbruck
Austria (AT)
Schweizerisches Tropen- und Public Health-Institut (Swiss TPH)
Switzerland (CH)
Universität Ulm
Germany (DE)
Wrocław Medical University / Uniwersytet Medyczny we Wrocławiu
Poland (PL)
Deutsches Zentrum für Lungenforschung e.V. (DZL)
Germany (DE)
How to cite
APA:
Krautenbacher, N., Kabesch, M., Horak, E., Braun-Fahrlaender, C., Genuneit, J., Boznanski, A.,... Ege, M.J. (2021). Asthma in farm children is more determined by genetic polymorphisms and in non-farm children by environmental factors. Pediatric Allergy and Immunology, 32(2), 295-304. https://doi.org/10.1111/pai.13385
MLA:
Krautenbacher, Norbert, et al. "Asthma in farm children is more determined by genetic polymorphisms and in non-farm children by environmental factors." Pediatric Allergy and Immunology 32.2 (2021): 295-304.
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