Roland Henry

Mar 30, 2023 | nature.com | Qin Ma |Sergio Baranzini |Stephen L. Hauser |Roland Henry

AbstractGenome-wide association studies (GWAS) successfully identified multiple sclerosis (MS) susceptibility variants. Despite this notable progress, understanding the biological context of these associations remains challenging, due in part to the complexity of linking GWAS results to causative genes and cell types. Here, we aimed to address this gap by integrating GWAS data with single-cell and bulk chromatin accessibility data and histone modification profiles from immune and nervous systems.