Krautenbacher N, Kabesch M, Horak E, et al. - This study was undertaken to determine if the prediction of childhood asthma by genetic determinants varies with the environmental setting, especially farm exposure. In the GABRIELA study with 850 cases (9% farm children) and 857 controls (14% farm children), statistical learning approaches based on penalized regression and decision trees were used to predict asthma. Single‐nucleotide polymorphisms were chosen from a genome‐wide dataset based on a literature search or by statistical selection techniques. In relation to non-farm children, asthma in farm children is more likely to be predicted by other variables, while family background may integrate environmental exposure, genotype and degree of penetrance in both types.