Childhood asthma is a complex multifactorial disease usually treated with inhaled corticosteroids (ICS) as controller medication. However, large variability in treatment response to, ICS is observed. A uniform, integrated systems pharmacology approach is needed to disentangle the complexity of the disease and identify phenotypes that are predictive of therapy response. This study aims: •To identify genetic and non-genetic biomarkers to characterize phenotypes of non-response to standard asthma therapy with ICS •To construct computational algorithms that effectively predict phenotype of ICS response by using a set of system-wide biomarkers and their interactions with environmental and clinical factors. Design: pan-european observational case-control study in Germany, Slovenia,Spain and the Netherlands. This is a unique approach to classify different phenotypes of asthmatic children that do not respond to standard therapy with ICS. In the future, the results of this study can lead to improved treatment strategies for pediatric asthma patients.