Genetics

Multiple sclerosis is a complex disease with genetics that often hide in plain sight—but a new study changes the game by integrating genomics, epigenomics, gene regulation, and single-cell data through an upgraded Bayesian framework. By blending these biological layers, researchers uncovered 163 high-confidence MS risk genes, validated many through Mendelian randomization, and linked them to key immune pathways and cell types like microglia and macrophages. This human-centered look at the research shows how multi-omics is transforming our understanding of MS and even pointing toward new drugs that could be repurposed for treatment.