Genetics

Multiple sclerosis (MS) is a complex neurological disease influenced by both genetic predisposition and environmental factors. Recent advances in genomic technologies, including genome-wide association studies and transcriptomic analyses, have significantly expanded our understanding of the genetic architecture underlying MS. This blog post explores the key findings discussed by Patsopoulos and De Jager, highlighting the role of common and rare genetic variants, polygenic risk prediction, and gene expression profiling in uncovering disease mechanisms. By integrating genetic susceptibility with functional molecular data, researchers are gaining deeper insights into the immune and cellular pathways involved in MS, paving the way toward improved risk prediction, earlier diagnosis, and the development of precision medicine approaches for patient care.