Project description:Abstract: Noncoding variants of presumed regulatory function contribute to neuropsychiatric disease heritability. 4442 noncoding variants connected to risk for 10 neuropsychiatric disorders, including autism spectrum disorder, attention deficit hyperactivity disorder, bipolar disorder, borderline personality disorder, major depression, generalized anxiety disorder, panic disorder, post-traumatic stress disorder, obsessive-compulsive disorder, and schizophrenia, were studied within developing human neural cells. Integrating epigenomic and transcriptomic data with massively parallel reporter assays identified 637 disease-associated single-nucleotide variants (daSNVs) with altered transcription-regulating activity. Expression-gene mapping, network analyses, and chromatin looping identified 619 candidate disease-relevant target genes modulated by these daSNVs. Specific daSNV-associated molecular pathways mapped to prevalent mental health symptoms. These data provide a framework resource to study inherited pathogenic risk for human neuropsychiatric disorders. Purpose: To place disease-associated single nucleotide variants (daSNVs) in genomic context within human neural cells, matched RNA-seq, chromatin accessibility profiling via ATAC-seq, and enhancer-promoter looping via H3K27ac HiChIP was performed in ES cells and at day 2 (N-D2), 10 (N-D10), and 28 (N-D28) of neuronal differentiation. Additionally, anterior (A-NPC) and posterior (P-NPC) neuronal stem cells were generated and studied. Matched sequencing was also performed on primary human astrocytes from adult brains. Processed and raw data for all neural cell types can be found in this repository. Astrocyte raw data can be found at Donohue, et al. "The combinatorial cis-regulatory vocabulary of cell type-specific gene regulation in homeostasis and disease". All biological replicates (n=2) are merged using the ENCODE pipeline.
Project description:Abstract: Noncoding variants of presumed regulatory function contribute to neuropsychiatric disease heritability. 4442 noncoding variants connected to risk for 10 neuropsychiatric disorders, including autism spectrum disorder, attention deficit hyperactivity disorder, bipolar disorder, borderline personality disorder, major depression, generalized anxiety disorder, panic disorder, post-traumatic stress disorder, obsessive-compulsive disorder, and schizophrenia, were studied within developing human neural cells. Integrating epigenomic and transcriptomic data with massively parallel reporter assays identified 637 disease-associated single-nucleotide variants (daSNVs) with altered transcription-regulating activity. Expression-gene mapping, network analyses, and chromatin looping identified 619 candidate disease-relevant target genes modulated by these daSNVs. Specific daSNV-associated molecular pathways mapped to prevalent mental health symptoms. These data provide a framework resource to study inherited pathogenic risk for human neuropsychiatric disorders. Purpose: To place disease-associated single nucleotide variants (daSNVs) in genomic context within human neural cells, matched RNA-seq, chromatin accessibility profiling via ATAC-seq, and enhancer-promoter looping via H3K27ac HiChIP was performed in ES cells and at day 2 (N-D2), 10 (N-D10), and 28 (N-D28) of neuronal differentiation. Additionally, anterior (A-NPC) and posterior (P-NPC) neuronal stem cells were generated and studied. Matched sequencing was also performed on primary human astrocytes from adult brains. Processed and raw data for all cell types can be found in this repository. All biological replicates (n=2) are merged using the ENCODE pipeline.
Project description:Abstract: Noncoding variants of presumed regulatory function contribute to neuropsychiatric disease heritability. 4442 noncoding variants connected to risk for 10 neuropsychiatric disorders, including autism spectrum disorder, attention deficit hyperactivity disorder, bipolar disorder, borderline personality disorder, major depression, generalized anxiety disorder, panic disorder, post-traumatic stress disorder, obsessive-compulsive disorder, and schizophrenia, were studied within developing human neural cells. Integrating epigenomic and transcriptomic data with massively parallel reporter assays identified 637 disease-associated single-nucleotide variants (daSNVs) with altered transcription-regulating activity. Expression-gene mapping, network analyses, and chromatin looping identified 619 candidate disease-relevant target genes modulated by these daSNVs. Specific daSNV-associated molecular pathways mapped to prevalent mental health symptoms. These data provide a framework resource to study inherited pathogenic risk for human neuropsychiatric disorders. Purpose: To place disease-associated single nucleotide variants (daSNVs) in genomic context within human neural cells, matched RNA-seq, chromatin accessibility profiling via ATAC-seq, and enhancer-promoter looping via H3K27ac HiChIP was performed in ES cells and at day 2 (N-D2), 10 (N-D10), and 28 (N-D28) of neuronal differentiation. Additionally, anterior (A-NPC) and posterior (P-NPC) neuronal stem cells were generated and studied. Matched sequencing was also performed on primary human astrocytes from adult brains. Processed data for all cell types can be found in this repository. Raw data D10 and D28 RNA seq samples can be found here. Raw data for D0, D2, A-NSC, A-D2, P-NSC, and P-D2 data can be found here: https://www.biorxiv.org/content/10.1101/2020.12.02.398677v1.abstract. Raw data for Astrocytes can be found with the Donohue, et al. "The combinatorial cis-regulatory vocabulary of cell type-specific gene regulation in homeostasis and disease".
Project description:Abstract: Noncoding variants of presumed regulatory function contribute to neuropsychiatric disease heritability. 4442 noncoding variants connected to risk for 10 neuropsychiatric disorders, including autism spectrum disorder, attention deficit hyperactivity disorder, bipolar disorder, borderline personality disorder, major depression, generalized anxiety disorder, panic disorder, post-traumatic stress disorder, obsessive-compulsive disorder, and schizophrenia, were studied within developing human neural cells. Integrating epigenomic and transcriptomic data with massively parallel reporter assays identified 637 disease-associated single-nucleotide variants (daSNVs) with altered transcription-regulating activity. Expression-gene mapping, network analyses, and chromatin looping identified 619 candidate disease-relevant target genes modulated by these daSNVs. Specific daSNV-associated molecular pathways mapped to prevalent mental health symptoms. These data provide a framework resource to study inherited pathogenic risk for human neuropsychiatric disorders. Purpose: To place disease-associated single nucleotide variants (daSNVs) in genomic context within human neural cells, matched RNA-seq, chromatin accessibility profiling via ATAC-seq, and enhancer-promoter looping via H3K27ac HiChIP was performed in ES cells and at day 2 (N-D2), 10 (N-D10), and 28 (N-D28) of neuronal differentiation. Additionally, anterior (A-NPC) and posterior (P-NPC) neuronal stem cells were generated and studied. Matched sequencing was also performed on primary human astrocytes from adult brains. Processed data for all cell types can be found in this repository. Raw data D10 and D28 RNA seq samples can be found here. Raw data for D0, D2, A-NSC, A-D2, P-NSC, and P-D2 data can be found here: https://www.biorxiv.org/content/10.1101/2020.12.02.398677v1.abstract. Raw data for Astrocytes can be found with the Donohue, et al. "The combinatorial cis-regulatory vocabulary of cell type-specific gene regulation in homeostasis and disease".
Project description:Single nucleotide variants (SNVs) in regulatory DNA are linked to inherited cancer risk. Massively parallel reporter assays (MPRA) of 5,031 SNVs linked to 14 neoplasms comprising >90% of human malignancies were performed in pertinent diploid cell types then integrated with matching chromatin accessibility, looping, and eQTL data to identify 411 regulatory SNVs and their putative target eGenes. The latter highlighted specific protein networks in lifetime cancer risk, including mitochondrial translation, proliferation, signaling, adhesion, and immunity. This cancer SNV compendium underscores the importance of studying pathogenic variants in disease-relevant cells and implicates specific dysregulated gene networks in cancer predisposition. It also indicates that inherited cancer risk can impact the same gene via orthogonal genetic mechanisms of dysregulated expression as well as protein coding sequence alteration and demonstrates that a subset of germline-encoded risk genes also enable tumor growth of established cancers.