Running spell-check to identify regulatory variants

A major challenge in human genetics is pinpointing which non-coding genetic variants affect gene expression and disease risk. A new study in this issue describes a broadly applicable approach for this task that explicitly models cell type-specific regulatory motifs and generates variant effect predictions that are more accurate and interpretable than those of alternative tools.