{"doi":"10.1111/pai.13385","title":"Asthma in farm children is more determined by genetic polymorphisms and in non‐farm children by environmental factors","abstract":"<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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]).<h4>Conclusions</h4>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.","journal":"Pediatric Allergy and Immunology","year":2020,"id":3625,"datarank":0.44166584687496613,"base_score":2.9444389791664403,"endowment":2.9444389791664403,"self_citation_contribution":0.44166584687496613,"citation_network_contribution":0.0,"self_endowment_contribution":0.44166584687496613,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":18,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.0443,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-10-15","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":37213,"name":"Michael Kabesch","orcid":"0000-0003-0697-1871","position":1,"is_corresponding":false},{"id":37214,"name":"Elisabeth Horak","orcid":null,"position":2,"is_corresponding":false},{"id":37215,"name":"Charlotte Braun‐Fahrländer","orcid":null,"position":3,"is_corresponding":false},{"id":37216,"name":"Jon Genuneit","orcid":"0000-0001-5764-1528","position":4,"is_corresponding":false},{"id":37217,"name":"Andrzej Boznanski","orcid":null,"position":5,"is_corresponding":false},{"id":37218,"name":"Erika von Mutius","orcid":"0000-0002-8893-4515","position":6,"is_corresponding":false},{"id":4422,"name":"Christiane Fuchs","orcid":"0000-0003-3565-8315","position":8,"is_corresponding":false},{"id":37219,"name":"Markus J. Ege","orcid":"0000-0001-6643-3923","position":9,"is_corresponding":false},{"id":37220,"name":"the GABRIELA, PASTURE study groups","orcid":null,"position":10,"is_corresponding":false},{"id":37221,"name":"Andrzej Boznański","orcid":"0000-0002-3447-9326","position":11,"is_corresponding":false},{"id":42,"name":"Fabian Joachim Theis","orcid":"0000-0002-2419-1943","position":12,"is_corresponding":false},{"id":37212,"name":"Norbert Krautenbacher","orcid":"0000-0002-7704-1543","position":0,"is_corresponding":true}],"reference_count":32,"raw_metadata":null,"created_at":"2026-03-01T18:20:47.508186Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}