Genetics

This blog post examines a recent study that integrates genome-wide association data with plasma proteomic profiles to identify proteins potentially involved in the pathogenesis of multiple sclerosis. Using proteome-wide association studies, Mendelian randomization, and Bayesian colocalization, the researchers prioritized PLEK, CR1, and CD59 as candidate therapeutic targets. The findings highlight the value of combining genetic and proteomic evidence to move beyond disease-associated loci toward biologically actionable drug targets, with particular emphasis on immune signaling and complement regulation in multiple sclerosis.