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Besides, many genetic variants associated with neuropsychiatric diseases reside in the putative cis-regulatory elements. They may contribute to disease by affecting regulatory sequences function, but the exact mechanisms of how they contribute to diseases via gene regulation remain unknown. Here, we aim to make substantial advances in understanding how the 3D epigenome contributes to brain development and diseases by mapping and analyzing the dynamic changes during the human prefrontal cortex development. We will first map transcriptome, chromatin accessibility, and 3D chromatin loops in six distinct cell types from the developing prefrontal cortex and perform an integrative analysis to interrogate how chromatin interaction control gene expression and development. Second, we will integrate the 3D epigenomic datasets with medical genetics resources to gain insights into cell types, genomic loci, and biological pathways that are causal to diseases, link GWAS SNPs with their target genes. Third, to establish cell-type-specific functional links between chromatin loops and target gene expression, we will test the biological consequences of distal regulatory regions interacting with promoters in iPSC models and primary cells. 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If you are intending to use these data for a \npublication, we ask that you please contact the data \ngenerating lab to discuss possible coordinated publication. \nIn your manuscript, please cite the 4DN White Paper \n([doi:10.1038/nature23884](https://doi.org/10.1038/nature23884)) \nand the 4DN Data Portal paper \n([doi:10.1038/s41467-022-29697-4](https://doi.org/10.1038/s41467-022-29697-4)), \nand please acknowledge the 4DN lab which generated the data. Please direct any questions to the [Data Coordination and Integration Center](mailto:support@4dnucleome.org).", "filetype": "md", "content_as_html": "<div class=\"markdown-container\"><p><strong>Data Use Guidelines:</strong> This is a data set generated by the \n4DN Network and made freely available to the scientific \ncommunity. 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