ArticleScience advances2024
Using a comprehensive atlas and predictive models to reveal the complexity and evolution of brain-active regulatory elements.
Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Circulating inflammatory proteins associated with risks of schizophrenia, bipolar disorder, and major depressive disorder: a mendelian randomization study.Translational psychiatry · 2025Pooled it
- BiallelicInternational journal of molecular sciences · 2026Article
- Positive selection on brain cis-regulatory elements in the human lineage drives changes in gene expression and susceptibility to neuropsychiatric disorders.HGG advances · 2026Article
- Long-read transcriptomics of purified human cortical cell types exposes glial isoform complexity and disease-relevant transcript architecture.bioRxiv : the preprint server for biology · 2026Article
- Single-nucleus multiomics reveals the disrupted regulatory programs in three brain regions of sporadic early-onset Alzheimer's disease.Science advances · 2025Article
- Single-nucleus multi-omics identifies shared and distinct pathways in Pick's and Alzheimer's disease.Science advances · 2025Article
- Review
- MUSE: A Multi-slice Joint Analysis Method for Spatial Transcriptomics Experiments.Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management · 2025Article
- Precise modulation of BRG1 levels reveals features of mSWI/SNF dosage sensitivity.Nature genetics · 2025Article
- Article
- Whole-genome sequencing analysis of Japanese autism spectrum disorder trios.Psychiatry and clinical neurosciences · 2025Article
- ChromBPNet: bias factorized, base-resolution deep learning models of chromatin accessibility reveal cis-regulatory sequence syntax, transcription factor footprints and regulatory variants.bioRxiv : the preprint server for biology · 2025Article
- iMIRACLE: an Iterative Multi-View Graph Neural Network to Model Intercellular Gene Regulation from Spatial Transcriptomic Data.Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management · 2024Article
- Leveraging a large language model to predict protein phase transition: A physical, multiscale, and interpretable approach.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
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16 authors.
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Abstract
Most genetic variants associated with psychiatric disorders are located in noncoding regions of the genome. To investigate their functional implications, we integrate epigenetic data from the PsychENCODE Consortium and other published sources to construct a comprehensive atlas of candidate brain cis-regulatory elements. Using deep learning, we model these elements' sequence syntax and predict how binding sites for lineage-specific transcription factors contribute to cell type-specific gene regulation in various types of glia and neurons. The elements' evolutionary history suggests that new regulatory information in the brain emerges primarily via smaller sequence mutations within conserved mammalian elements rather than entirely new human- or primate-specific sequences. However, primate-specific candidate elements, particularly those active during fetal brain development and in excitatory neurons and astrocytes, are implicated in the heritability of brain-related human traits. Additionally, we introduce PsychSCREEN, a web-based platform offering interactive visualization of PsychENCODE-generated genetic and epigenetic data from diverse brain cell types in individuals with psychiatric disorders and healthy controls.
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