Genetics

Recent advances in genomic research have enabled scientists to quantify inherited susceptibility to complex diseases using polygenic risk scores (PRS). In a population-based study by Loonstra et al. (2024), researchers investigated how cumulative genetic risk influences the lifetime probability of developing multiple sclerosis (MS). By analyzing genetic data from a near-complete birth cohort and comparing individuals with MS to controls, the study demonstrates that higher PRS values correspond to substantially increased lifetime risk, particularly among women. Although genetic burden strongly predicts disease susceptibility, it appears less informative for disease progression. These findings highlight the potential of polygenic risk modeling to improve understanding of MS etiology and support the future development of precision medicine strategies in neuroimmunology.