Computational framework identifies novel pathway for asthma inflammation

Researchers at Columbia University and the University of Chicago have developed a computational framework called DANDELION that helps identify genes driving diseases like asthma. DANDELION, which stands for "Disease-Driving Analyses via Mediation via Gene Expression Inference Over Networks," is a mediation-inspired computational approach that distinguishes genes truly linked to disease from those merely associated with it.

The study, published in Cell, highlights that traditional genetic approaches often overlook genes that play central roles in diseases. By integrating large-scale genetic data with trans-gene regulatory information from disease-relevant tissues, DANDELION can uncover biological pathways that current methods might miss. In the case of asthma, DANDELION identified a previously unrecognized biological process involving protein palmitoylation, a cellular mechanism that regulates protein function and location.

This novel pathway, which was overlooked by existing genetic analysis methods, emerges as a potential new target for asthma treatments. The researchers applied DANDELION to asthma data combined with single-cell gene expression information from the Human Lung Cell Atlas. Their findings suggest that enzymes involved in protein palmitoylation influence asthma-related inflammation, making them promising candidates for future therapeutic interventions.

The developers of DANDELION believe their framework has broader applications in uncovering clinically meaningful disease mechanisms and identifying new therapeutic targets for a variety of complex diseases.