Finding the causal genes at disease- and trait-associated loci is key to revealing biological insights from genome-wide association studies. , a team led by researchers from the Ó³»´«Ã½ and Boston Children’s Hospital, along with Dutch colleagues, describe , a new computational tool that uses predicted gene functions to prioritize the most likely causal genes, highlight enriched pathways, and identify tissues and cell types associated with diseases and complex traits.