 Prioritizing genetic variants is a major challenge in genome-wide association studies. Here, the authors develop FUMA, a web-based bioinformatics tool that uses a combination of positional, EQTL and chromatin interaction mapping to prioritize likely causal variants and genes. This article was authored by Kiyoko Watanabe, Edawan Tascason, Ayan Van Bochoven, and others.