An encyclopedia of human enhancer-gene regulatory interactions.

A comprehensive resource of over 92 million human enhancer-gene interactions across 369 tissues advances understanding of gene regulation and disease genetics.

• Why it matters: Deciphering enhancer-target gene relationships is crucial for understanding gene regulation and the impact of genetic variation on disease, yet existing knowledge remains incomplete.
• What they did: The team integrated predictive models, chromatin data, 3D contacts, and genetic perturbations to develop ENCODE-rE2G, a machine learning model evaluated with thousands of experimental and genetic datasets.
• The result: This resource enables more accurate mapping of enhancer functions, reveals regulatory network properties, and improves interpretation of noncoding variants, supporting future genetic and biomedical research.