Though replication challenges remain, ML successfully prioritised established risk loci and identified biologically relevant novel associations, including variants in ARHGAP25, COG7, LY6H, and SOD1. These findings highlight ML’s potential to refine our understanding of AD beyond additive genetic effects and expand the toolkit available for maximising discovery from available data. This evidence concerns the gene ARHGAP25 and Alzheimer disease.