The resource details the creation of a functional genomics atlas of over 148,000 regulatory regions in neural stem cells (NSCs) using ChIP-STARR-seq to understand gene regulation in neurodevelopment. Based on this atlas, the authors developed BRAIN-MAGNET, a convolutional neural network (CNN) that predicts non-coding regulatory element (NCRE) activity directly from DNA sequences. Critically, BRAIN-MAGNET is validated to prioritize functional non-coding variants linked to neurological diseases by identifying nucleotides essential for NCRE function, often outperforming existing variant prioritization tools in GWAS and rare disease contexts. The research employs rigorous experimental and computational methods to interpret the regulatory genome, including analyzing Transcription Factor (TF) motifs and epigenetic priming of enhancers.

References:

• Deng R, Perenthaler E, Nikoncuk A, et al. BRAIN-MAGNET: A functional genomics atlas for interpretation of non-coding variants[J]. Cell, 2025.