Pooled and sex-specific genome-wide association analyses identify new risk loci for restless legs syndrome and candidates for drug repurposing. Machine learning models combining genetic and other information show improved risk prediction performance.
- Barbara Schormair
- Chen Zhao
- Juliane Winkelmann
