Network Analysis

Larger group sizes enable stronger network modelling, including central node identification and Bayesian key driver analysis. Coexpression, Bayesian, and other network models will be used to study molecular heterogeneity and predict treatment response. The analytical team will model blood RNA sequencing and nasal brushing RNA sequencing separately. Primary modelling endpoints include exacerbation timing and frequency, FEV1, exacerbation occurrence, and asthma control by ACT or GINA. The primary objective is to describe asthma clinically and molecularly by type 2 biology and asthma control across treatments. Secondary objectives include finding biomarkers that classify endotypes, differentiate trajectories, and distinguish biologic responders from non-responders.