Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder
Most genetic risk for psychiatric disease lies in regulatory regions, implicating pathogenic dysregulation of gene expression and splicing. However, comprehensive assessments of transcriptomic organization in diseased brains are limited. In this work, we integrated genotypes and RNA sequencing in br...
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| Published in | Science (American Association for the Advancement of Science) Vol. 362; no. 6420 |
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| Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
The American Association for the Advancement of Science
14.12.2018
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0036-8075 1095-9203 1095-9203 |
| DOI | 10.1126/science.aat8127 |
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| Abstract | Most genetic risk for psychiatric disease lies in regulatory regions, implicating pathogenic dysregulation of gene expression and splicing. However, comprehensive assessments of transcriptomic organization in diseased brains are limited. In this work, we integrated genotypes and RNA sequencing in brain samples from 1695 individuals with autism spectrum disorder (ASD), schizophrenia, and bipolar disorder, as well as controls. More than 25% of the transcriptome exhibits differential splicing or expression, with isoform-level changes capturing the largest disease effects and genetic enrichments. Coexpression networks isolate disease-specific neuronal alterations, as well as microglial, astrocyte, and interferon-response modules defining previously unidentified neural-immune mechanisms. We integrated genetic and genomic data to perform a transcriptome-wide association study, prioritizing disease loci likely mediated by cis effects on brain expression. This transcriptome-wide characterization of the molecular pathology across three major psychiatric disorders provides a comprehensive resource for mechanistic insight and therapeutic development. |
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| AbstractList | Most genetic risk for psychiatric disease lies in regulatory regions, implicating pathogenic dysregulation of gene expression and splicing. However, comprehensive assessments of transcriptomic organization in diseased brains are limited. In this work, we integrated genotypes and RNA sequencing in brain samples from 1695 individuals with autism spectrum disorder (ASD), schizophrenia, and bipolar disorder, as well as controls. More than 25% of the transcriptome exhibits differential splicing or expression, with isoform-level changes capturing the largest disease effects and genetic enrichments. Coexpression networks isolate disease-specific neuronal alterations, as well as microglial, astrocyte, and interferon-response modules defining previously unidentified neural-immune mechanisms. We integrated genetic and genomic data to perform a transcriptome-wide association study, prioritizing disease loci likely mediated by cis effects on brain expression. This transcriptome-wide characterization of the molecular pathology across three major psychiatric disorders provides a comprehensive resource for mechanistic insight and therapeutic development.Most genetic risk for psychiatric disease lies in regulatory regions, implicating pathogenic dysregulation of gene expression and splicing. However, comprehensive assessments of transcriptomic organization in diseased brains are limited. In this work, we integrated genotypes and RNA sequencing in brain samples from 1695 individuals with autism spectrum disorder (ASD), schizophrenia, and bipolar disorder, as well as controls. More than 25% of the transcriptome exhibits differential splicing or expression, with isoform-level changes capturing the largest disease effects and genetic enrichments. Coexpression networks isolate disease-specific neuronal alterations, as well as microglial, astrocyte, and interferon-response modules defining previously unidentified neural-immune mechanisms. We integrated genetic and genomic data to perform a transcriptome-wide association study, prioritizing disease loci likely mediated by cis effects on brain expression. This transcriptome-wide characterization of the molecular pathology across three major psychiatric disorders provides a comprehensive resource for mechanistic insight and therapeutic development. Most genetic risk for psychiatric disease lies in regulatory regions, implicating pathogenic dysregulation of gene expression and splicing. However, comprehensive assessments of transcriptomic organization in disease brain are limited. Here, we integrate genotype and RNA-sequencing in brain samples from 1695 subjects with autism, schizophrenia, bipolar disorder and controls. Over 25% of the transcriptome exhibits differential splicing or expression, with isoform-level changes capturing the largest disease effects and genetic enrichments. co-expression networks isolate disease-specific neuronal alterations, as well as microglial, astrocyte, and interferon response modules defining novel neural-immune mechanisms. We prioritize disease loci likely mediated by cis -effects on brain expression via transcriptome-wide association analysis. This transcriptome-wide characterization of the molecular pathology across three major psychiatric disorders provides a comprehensive resource for mechanistic insight and therapeutic development. Most genetic risk for psychiatric disease lies in regulatory regions, implicating pathogenic dysregulation of gene expression and splicing. However, comprehensive assessments of transcriptomic organization in diseased brains are limited. In this work, we integrated genotypes and RNA sequencing in brain samples from 1695 individuals with autism spectrum disorder (ASD), schizophrenia, and bipolar disorder, as well as controls. More than 25% of the transcriptome exhibits differential splicing or expression, with isoform-level changes capturing the largest disease effects and genetic enrichments. Coexpression networks isolate disease-specific neuronal alterations, as well as microglial, astrocyte, and interferon-response modules defining previously unidentified neural-immune mechanisms. We integrated genetic and genomic data to perform a transcriptome-wide association study, prioritizing disease loci likely mediated by cis effects on brain expression. This transcriptome-wide characterization of the molecular pathology across three major psychiatric disorders provides a comprehensive resource for mechanistic insight and therapeutic development. INTRODUCTIONOur understanding of the pathophysiology of psychiatric disorders, including autism spectrum disorder (ASD), schizophrenia (SCZ), and bipolar disorder (BD), lags behind other fields of medicine. The diagnosis and study of these disorders currently depend on behavioral, symptomatic characterization. Defining genetic contributions to disease risk allows for biological, mechanistic understanding but is challenged by genetic complexity, polygenicity, and the lack of a cohesive neurobiological model to interpret findings.RATIONALEThe transcriptome represents a quantitative phenotype that provides biological context for understanding the molecular pathways disrupted in major psychiatric disorders. RNA sequencing (RNA-seq) in a large cohort of cases and controls can advance our knowledge of the biology disrupted in each disorder and provide a foundational resource for integration with genomic and genetic data.RESULTSAnalysis across multiple levels of transcriptomic organization—gene expression, local splicing, transcript isoform expression, and coexpression networks for both protein-coding and noncoding genes—provides an in-depth view of ASD, SCZ, and BD molecular pathology. More than 25% of the transcriptome exhibits differential splicing or expression in at least one disorder, including hundreds of noncoding RNAs (ncRNAs), most of which have unexplored functions but collectively exhibit patterns of selective constraint. Changes at the isoform level, as opposed to the gene level, show the largest effect sizes and genetic enrichment and the greatest disease specificity. We identified coexpression modules associated with each disorder, many with enrichment for cell type–specific markers, and several modules significantly dysregulated across all three disorders. These enabled parsing of down-regulated neuronal and synaptic components into a variety of cell type– and disease-specific signals, including multiple excitatory neuron and distinct interneuron modules with differential patterns of disease association, as well as common and rare genetic risk variant enrichment. The glial-immune signal demonstrates shared disruption of the blood-brain barrier and up-regulation of NFkB-associated genes, as well as disease-specific alterations in microglial-, astrocyte-, and interferon-response modules. A coexpression module associated with psychiatric medication exposure in SCZ and BD was enriched for activity-dependent immediate early gene pathways. To identify causal drivers, we integrated polygenic risk scores and performed a transcriptome-wide association study and summary-data–based Mendelian randomization. Candidate risk genes—5 in ASD, 11 in BD, and 64 in SCZ, including shared genes between SCZ and BD—are supported by multiple methods. These analyses begin to define a mechanistic basis for the composite activity of genetic risk variants.CONCLUSIONIntegration of RNA-seq and genetic data from ASD, SCZ, and BD provides a quantitative, genome-wide resource for mechanistic insight and therapeutic development at Resource.PsychENCODE.org. These data inform the molecular pathways and cell types involved, emphasizing the importance of splicing and isoform-level gene regulatory mechanisms in defining cell type and disease specificity, and, when integrated with genome-wide association studies, permit the discovery of candidate risk genes.Most genetic risk for psychiatric disease lies in regulatory regions, implicating pathogenic dysregulation of gene expression and splicing. However, comprehensive assessments of transcriptomic organization in diseased brains are limited. In this work, we integrated genotypes and RNA sequencing in brain samples from 1695 individuals with autism spectrum disorder (ASD), schizophrenia, and bipolar disorder, as well as controls. More than 25% of the transcriptome exhibits differential splicing or expression, with isoform-level changes capturing the largest disease effects and genetic enrichments. Coexpression networks isolate disease-specific neuronal alterations, as well as microglial, astrocyte, and interferon-response modules defining previously unidentified neural-immune mechanisms. We integrated genetic and genomic data to perform a transcriptome-wide association study, prioritizing disease loci likely mediated by cis effects on brain expression. This transcriptome-wide characterization of the molecular pathology across three major psychiatric disorders provides a comprehensive resource for mechanistic insight and therapeutic development. |
| Author | Hadjimichael, Evi Ivanov, Nikolay A. Niu, Mingming Varghese, Merina Kundakovic, Marija Webster, Maree J. Xu, Min Ashley-Koch, Allison E. Jaffe, Andrew E. Park, Royce B. Haney, Jillian Fish, Kenneth Moran Losada, Patricia Fitzgerald, Dominic Dracheva, Stella Khan, Zenab Won, Hyejung Bendl, Jaroslav Goes, Fernando S. Kozlenkov, Alexey Chen, Chao Warrell, Jonathan Gandal, Michael J. Bryois, Julien Wray, Gregory A. Flatow, Elie Haroutunian, Vahram Zhang, Pan Fullard, John F. Safi, Alexias DelValle, Diane Hoffman, Gabriel E. Zandi, Peter Peng, Junmin Gerstein, Mark Mangravite, Lara M Kleiman, Joel E. Chae, Yooree Collado-Torres, Leonardo Xia, Yan Mleczko, Justyna Francoeur, Nancy Hahn, Chang-Gyu Reddy, Timothy E Wiseman, Jennifer R Wang, Yongjun Geschwind, Daniel H. Lewis, David A. Belmont, Judson Zharovsky, Elizabeth Walker, Rebecca L. Garrett, Melanie E. Brown, Leanne Johnson, Graham D. Hyde, Thomas M. Tao, Ran Devillers, Olivia Hauberg, Mads E. Akbarian, Schahram Girdhar, Kiran Wang, Xusheng Burke, Emily E. Crawford, Gregory E. Hof, Patrick R. van Ba |
| AuthorAffiliation | 11 National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, Hunan, China 10 The School of Life Science, Central South University, Changsha, Hunan 410078, China 1 Department of Psychiatry, Semel Institute, David Geffen School of Medicine, University of California Los Angeles, 695 Charles E. Young Drive South, Los Angeles, CA 90095, USA 26 CNS Data Coordination group, Sage Bionetworks, Seattle, WA 98109, USA 15 Fishberg Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA 5 Department of Psychiatry, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA 14 UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC 27599, USA 13 Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA 17 Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY 13210, USA 6 Department of Psychiatry, and Seaver Autism Center for Research and Treatment, Icahn School of |
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surname: Kundakovic fullname: Kundakovic, Marija – sequence: 60 givenname: Leanne surname: Brown fullname: Brown, Leanne – sequence: 61 givenname: Bibi S. surname: Kassim fullname: Kassim, Bibi S. – sequence: 62 givenname: Royce B. surname: Park fullname: Park, Royce B. – sequence: 63 givenname: Jennifer R surname: Wiseman fullname: Wiseman, Jennifer R – sequence: 64 givenname: Elizabeth surname: Zharovsky fullname: Zharovsky, Elizabeth – sequence: 65 givenname: Rivka surname: Jacobov fullname: Jacobov, Rivka – sequence: 66 givenname: Olivia surname: Devillers fullname: Devillers, Olivia – sequence: 67 givenname: Elie surname: Flatow fullname: Flatow, Elie – sequence: 68 givenname: Gabriel E. surname: Hoffman fullname: Hoffman, Gabriel E. – sequence: 69 givenname: Barbara K. surname: Lipska fullname: Lipska, Barbara K. – sequence: 70 givenname: David A. surname: Lewis fullname: Lewis, David A. – sequence: 71 givenname: Vahram surname: Haroutunian fullname: Haroutunian, Vahram – sequence: 72 givenname: Chang-Gyu surname: Hahn fullname: Hahn, Chang-Gyu – sequence: 73 givenname: Alexander W. surname: Charney fullname: Charney, Alexander W. – sequence: 74 givenname: Stella surname: Dracheva fullname: Dracheva, Stella – sequence: 75 givenname: Alexey surname: Kozlenkov fullname: Kozlenkov, Alexey – sequence: 76 givenname: Judson surname: Belmont fullname: Belmont, Judson – sequence: 77 givenname: Diane surname: DelValle fullname: DelValle, Diane – sequence: 78 givenname: Nancy surname: Francoeur fullname: Francoeur, Nancy – sequence: 79 givenname: Evi surname: Hadjimichael fullname: Hadjimichael, Evi – sequence: 80 givenname: Dalila surname: Pinto fullname: Pinto, Dalila – sequence: 81 givenname: Harm surname: van Bakel fullname: van Bakel, Harm – sequence: 82 givenname: Panos surname: Roussos fullname: Roussos, Panos – sequence: 83 givenname: John F. surname: Fullard fullname: Fullard, John F. – sequence: 84 givenname: Jaroslav surname: Bendl fullname: Bendl, Jaroslav – sequence: 85 givenname: Mads E. surname: Hauberg fullname: Hauberg, Mads E. – sequence: 86 givenname: Lara M surname: Mangravite fullname: Mangravite, Lara M – sequence: 87 givenname: Mette A. surname: Peters fullname: Peters, Mette A. – sequence: 88 givenname: Yooree surname: Chae fullname: Chae, Yooree – sequence: 89 givenname: Junmin surname: Peng fullname: Peng, Junmin – sequence: 90 givenname: Mingming surname: Niu fullname: Niu, Mingming – sequence: 91 givenname: Xusheng surname: Wang fullname: Wang, Xusheng – sequence: 92 givenname: Maree J. surname: Webster fullname: Webster, Maree J. – sequence: 93 givenname: Thomas G. surname: Beach fullname: Beach, Thomas G. – sequence: 94 givenname: Chao surname: Chen fullname: Chen, Chao – sequence: 95 givenname: Yi surname: Jiang fullname: Jiang, Yi – sequence: 96 givenname: Rujia surname: Dai fullname: Dai, Rujia – sequence: 97 givenname: Annie W. surname: Shieh fullname: Shieh, Annie W. – sequence: 98 givenname: Chunyu surname: Liu fullname: Liu, Chunyu – sequence: 99 givenname: Kay S. surname: Grennan fullname: Grennan, Kay S. – sequence: 100 givenname: Yan surname: Xia fullname: Xia, Yan |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30545856$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1126/science.aat8464 10.1038/mp.2009.47 10.1126/science.aaa1934 10.1016/j.ajhg.2011.02.001 10.1093/nar/gkn892 10.1038/s41598-017-05882-0 10.1038/ni.3423 10.1038/nn.4399 10.1038/nn.2371 10.1016/j.cell.2008.10.029 10.1038/ng.3050 10.1016/j.cell.2012.04.031 10.1371/journal.pone.0068141 10.1016/j.cell.2013.10.031 10.1093/nar/gkx922 10.1093/nar/gkw937 10.1101/gr.190983.115 10.1073/pnas.0601213103 10.1093/nar/gkp914 10.1038/ng.841 10.1038/nature10523 10.1038/nrn.2016.27 10.1016/j.ajhg.2010.11.011 10.1016/j.cell.2014.11.035 10.1093/hmg/ddh065 10.1038/nn.4409 10.1038/s41588-018-0059-2 10.1371/journal.pone.0013741 10.1101/gr.097857.109 10.1038/tp.2015.62 10.1016/j.neuron.2015.09.016 10.1038/nature12787 10.1186/s13229-017-0137-9 10.1186/1471-2105-12-323 10.1126/science.aad6469 10.1038/tp.2016.87 10.1038/mp.2013.45 10.3389/fnbeh.2017.00240 10.1186/1471-2164-10-327 10.1073/pnas.1403244111 10.1203/PDR.0b013e318212c196 10.1038/nbt1295 10.1126/science.aaa0355 10.1093/nar/gks1215 10.1016/j.cell.2015.06.043 10.1073/pnas.0706729105 10.1038/nbt.4038 10.1016/j.ajhg.2015.09.001 10.1371/journal.pone.0116820 10.1038/nature19057 10.1038/nn.4156 10.1186/s13073-017-0497-y 10.1038/nm.3407 10.1038/s41588-017-0004-9 10.1126/science.aaf1204 10.1038/ng.2383 10.1038/s41593-018-0197-y 10.1038/nrg3934 10.1016/j.cell.2013.02.012 10.1038/mp.2017.89 10.1038/mp.2012.146 10.1038/nm.4071 10.1101/gr.3715005 10.1371/journal.pgen.0030161 10.1523/JNEUROSCI.4098-07.2008 10.1038/nature14248 10.1093/bioinformatics/bts635 10.1093/hmg/dds240 10.1261/rna.1705309 10.1101/288225 10.1038/mp.2016.94 10.1038/ng1364 10.1038/nrn3978 10.1038/nature09298 10.1093/nar/gkt533 10.1038/mp.2013.170 10.1073/pnas.1516376112 10.1093/nar/gkw971 10.1007/s00213-011-2574-z 10.1038/nbt.2422 10.1101/401885 10.1101/gr.199935.115 10.1038/ng.3367 10.1038/ng.193 10.1038/s41588-018-0090-3 10.1016/j.cell.2017.05.018 10.1093/nar/gkr378 10.1038/ng.3506 10.1038/nn.4402 10.1016/j.neuron.2018.03.008 10.1016/j.molcel.2016.11.033 10.1007/978-1-4939-3578-9_16 10.1038/nature24277 10.1038/nsmb.2638 10.1038/ncomms6748 10.1016/j.jad.2015.08.058 10.1073/pnas.1507125112 10.2202/1544-6115.1128 10.1186/1752-0509-6-63 10.1101/cshperspect.a005744 10.1038/nm.4386 10.1016/j.cell.2018.05.046 10.1038/nature20612 10.1038/nature13595 10.1126/science.1260943 10.1016/j.cell.2011.06.013 10.1038/nature12943 10.1093/nar/gkv1344 10.1038/mp.2012.110 10.1016/j.neuron.2015.11.025 10.1038/nbt.3682 10.1016/j.neuron.2015.11.013 10.1093/nar/gks596 10.1093/bioinformatics/btq033 10.1038/nature16549 10.1016/j.celrep.2016.12.018 10.1186/1752-0509-6-92 10.1073/pnas.1617384114 10.1038/nature08451 10.1016/j.ajhg.2010.02.005 10.1126/science.aat7615 10.1186/s13073-017-0458-5 10.1038/ng.3538 10.1038/nature10110 10.1093/hmg/ddp166 10.1038/ng.3552 10.1126/science.1262110 10.1093/nar/gkw1102 10.1038/s41588-018-0062-7 10.1007/s00439-011-0975-z 10.1038/nn.2207 10.1126/science.1222794 10.1038/ng.3404 10.1038/s41588-018-0129-5 10.1038/nature17671 10.1016/j.molcel.2012.05.021 10.1038/nmeth.2714 10.1016/S0022-2836(05)80360-2 10.1126/science.aad9417 10.1038/ng.943 10.1038/nature05874 |
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| Copyright | Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works |
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| DOI | 10.1126/science.aat8127 |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Undefined-1 ObjectType-Feature-3 content type line 23 Author Contributions: Data was generated by the PsychENCODE Consortium, M.J.G., E.H., S.L., H.W., H.B., J.M., Y.X., R.D., D.W., K.F., D.F., K.W., A.E.J., M.A.P., M.G., C.L., D.P., and D.H.G. Data analysis was performed by M.J.G., P.Z., E.H., R.L.W., C.C., S.L., H.W., H.B., M.V., J.H., S.P., J.B., M.K., P.M.L., Z.K., J.M., D.W., Y.T.Y., M.X., K.F., P.R.H., J.W., D.F., M.G., L.M.I., D.P., and D.H.G. The manuscript was written by M.J.G., P.Z., R.L.W., C.C., J.H., S.P., M.K., L.M.I., D.P., and D.H.G. Supervision was performed by the corresponding authors. Full list of authors and affiliations are listed in the supplementary materials |
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| References_xml | – ident: e_1_3_2_18_2 doi: 10.1126/science.aat8464 – ident: e_1_3_2_70_2 doi: 10.1038/mp.2009.47 – ident: e_1_3_2_102_2 doi: 10.1126/science.aaa1934 – ident: e_1_3_2_37_2 doi: 10.1016/j.ajhg.2011.02.001 – ident: e_1_3_2_124_2 doi: 10.1093/nar/gkn892 – ident: e_1_3_2_42_2 doi: 10.1038/s41598-017-05882-0 – ident: e_1_3_2_100_2 doi: 10.1038/ni.3423 – ident: e_1_3_2_19_2 doi: 10.1038/nn.4399 – ident: e_1_3_2_63_2 doi: 10.1038/nn.2371 – ident: e_1_3_2_115_2 doi: 10.1016/j.cell.2008.10.029 – ident: e_1_3_2_105_2 doi: 10.1038/ng.3050 – ident: e_1_3_2_121_2 doi: 10.1016/j.cell.2012.04.031 – ident: e_1_3_2_142_2 doi: 10.1371/journal.pone.0068141 – ident: e_1_3_2_95_2 doi: 10.1016/j.cell.2013.10.031 – ident: e_1_3_2_118_2 doi: 10.1093/nar/gkx922 – ident: e_1_3_2_129_2 doi: 10.1093/nar/gkw937 – ident: e_1_3_2_90_2 doi: 10.1101/gr.190983.115 – ident: e_1_3_2_78_2 doi: 10.1073/pnas.0601213103 – ident: e_1_3_2_130_2 doi: 10.1093/nar/gkp914 – ident: e_1_3_2_61_2 doi: 10.1038/ng.841 – ident: e_1_3_2_21_2 doi: 10.1038/nature10523 – ident: e_1_3_2_29_2 doi: 10.1038/nrn.2016.27 – ident: e_1_3_2_97_2 doi: 10.1016/j.ajhg.2010.11.011 – ident: e_1_3_2_31_2 doi: 10.1016/j.cell.2014.11.035 – ident: e_1_3_2_43_2 doi: 10.1093/hmg/ddh065 – ident: e_1_3_2_3_2 doi: 10.1038/nn.4409 – ident: e_1_3_2_60_2 doi: 10.1038/s41588-018-0059-2 – ident: e_1_3_2_54_2 doi: 10.1371/journal.pone.0013741 – ident: e_1_3_2_93_2 doi: 10.1101/gr.097857.109 – ident: e_1_3_2_104_2 doi: 10.1038/tp.2015.62 – ident: e_1_3_2_110_2 – ident: e_1_3_2_82_2 doi: 10.1016/j.neuron.2015.09.016 – ident: e_1_3_2_13_2 doi: 10.1038/nature12787 – ident: e_1_3_2_139_2 doi: 10.1186/s13229-017-0137-9 – ident: e_1_3_2_24_2 doi: 10.1186/1471-2105-12-323 – ident: e_1_3_2_14_2 doi: 10.1126/science.aad6469 – ident: e_1_3_2_57_2 doi: 10.1038/tp.2016.87 – ident: e_1_3_2_79_2 doi: 10.1038/mp.2013.45 – ident: e_1_3_2_66_2 doi: 10.3389/fnbeh.2017.00240 – ident: e_1_3_2_132_2 doi: 10.1186/1471-2164-10-327 – ident: e_1_3_2_38_2 doi: 10.1073/pnas.1403244111 – ident: e_1_3_2_88_2 doi: 10.1203/PDR.0b013e318212c196 – ident: e_1_3_2_125_2 doi: 10.1038/nbt1295 – ident: e_1_3_2_83_2 doi: 10.1126/science.aaa0355 – ident: e_1_3_2_72_2 doi: 10.1093/nar/gks1215 – ident: e_1_3_2_123_2 doi: 10.1016/j.cell.2015.06.043 – ident: e_1_3_2_77_2 doi: 10.1073/pnas.0706729105 – ident: e_1_3_2_99_2 doi: 10.1038/nbt.4038 – ident: e_1_3_2_96_2 doi: 10.1016/j.ajhg.2015.09.001 – ident: e_1_3_2_2_2 doi: 10.1371/journal.pone.0116820 – ident: e_1_3_2_112_2 doi: 10.1038/nature19057 – ident: e_1_3_2_17_2 doi: 10.1038/nn.4156 – ident: e_1_3_2_143_2 doi: 10.1186/s13073-017-0497-y – ident: e_1_3_2_55_2 doi: 10.1038/nm.3407 – ident: e_1_3_2_30_2 doi: 10.1038/s41588-017-0004-9 – ident: e_1_3_2_113_2 doi: 10.1126/science.aaf1204 – ident: e_1_3_2_137_2 doi: 10.1038/ng.2383 – ident: e_1_3_2_25_2 doi: 10.1038/s41593-018-0197-y – ident: e_1_3_2_15_2 doi: 10.1038/nrg3934 – ident: e_1_3_2_27_2 doi: 10.1016/j.cell.2013.02.012 – ident: e_1_3_2_67_2 doi: 10.1038/mp.2017.89 – ident: e_1_3_2_53_2 doi: 10.1038/mp.2012.146 – ident: e_1_3_2_5_2 doi: 10.1038/nm.4071 – ident: e_1_3_2_94_2 doi: 10.1101/gr.3715005 – ident: e_1_3_2_44_2 doi: 10.1371/journal.pgen.0030161 – ident: e_1_3_2_52_2 doi: 10.1523/JNEUROSCI.4098-07.2008 – ident: e_1_3_2_12_2 doi: 10.1038/nature14248 – ident: e_1_3_2_116_2 doi: 10.1093/bioinformatics/bts635 – ident: e_1_3_2_62_2 doi: 10.1093/hmg/dds240 – ident: e_1_3_2_76_2 doi: 10.1261/rna.1705309 – ident: e_1_3_2_74_2 doi: 10.1101/288225 – ident: e_1_3_2_69_2 doi: 10.1038/mp.2016.94 – ident: e_1_3_2_81_2 doi: 10.1038/ng1364 – ident: e_1_3_2_87_2 doi: 10.1038/nrn3978 – ident: e_1_3_2_141_2 doi: 10.1038/nature09298 – ident: e_1_3_2_128_2 doi: 10.1093/nar/gkt533 – ident: e_1_3_2_32_2 doi: 10.1038/mp.2013.170 – ident: e_1_3_2_106_2 doi: 10.1073/pnas.1516376112 – ident: e_1_3_2_107_2 doi: 10.1093/nar/gkw971 – ident: e_1_3_2_133_2 doi: 10.1007/s00213-011-2574-z – ident: e_1_3_2_7_2 doi: 10.1038/nbt.2422 – ident: e_1_3_2_144_2 doi: 10.1101/401885 – ident: e_1_3_2_91_2 – ident: e_1_3_2_35_2 doi: 10.1101/gr.199935.115 – ident: e_1_3_2_48_2 doi: 10.1038/ng.3367 – ident: e_1_3_2_46_2 doi: 10.1038/ng.193 – ident: e_1_3_2_134_2 doi: 10.1038/s41588-018-0090-3 – ident: e_1_3_2_101_2 doi: 10.1016/j.cell.2017.05.018 – ident: e_1_3_2_111_2 doi: 10.1093/nar/gkr378 – ident: e_1_3_2_47_2 doi: 10.1038/ng.3506 – ident: e_1_3_2_56_2 doi: 10.1038/nn.4402 – ident: e_1_3_2_59_2 doi: 10.1016/j.neuron.2018.03.008 – ident: e_1_3_2_84_2 doi: 10.1016/j.molcel.2016.11.033 – ident: e_1_3_2_117_2 doi: 10.1007/978-1-4939-3578-9_16 – ident: e_1_3_2_45_2 doi: 10.1038/nature24277 – ident: e_1_3_2_122_2 doi: 10.1038/nsmb.2638 – ident: e_1_3_2_39_2 – ident: e_1_3_2_71_2 doi: 10.1038/ncomms6748 – ident: e_1_3_2_89_2 doi: 10.1016/j.jad.2015.08.058 – ident: e_1_3_2_114_2 doi: 10.1073/pnas.1507125112 – ident: e_1_3_2_51_2 doi: 10.2202/1544-6115.1128 – ident: e_1_3_2_92_2 doi: 10.1186/1752-0509-6-63 – ident: e_1_3_2_41_2 doi: 10.1101/cshperspect.a005744 – ident: e_1_3_2_65_2 doi: 10.1038/nm.4386 – ident: e_1_3_2_98_2 doi: 10.1016/j.cell.2018.05.046 – ident: e_1_3_2_20_2 doi: 10.1038/nature20612 – ident: e_1_3_2_138_2 doi: 10.1038/nature13595 – ident: e_1_3_2_10_2 doi: 10.1126/science.1260943 – ident: e_1_3_2_34_2 doi: 10.1016/j.cell.2011.06.013 – ident: e_1_3_2_73_2 doi: 10.1038/nature12943 – ident: e_1_3_2_119_2 doi: 10.1093/nar/gkv1344 – ident: e_1_3_2_68_2 doi: 10.1038/mp.2012.110 – ident: e_1_3_2_33_2 doi: 10.1016/j.neuron.2015.11.025 – ident: e_1_3_2_86_2 doi: 10.1038/nbt.3682 – ident: e_1_3_2_103_2 doi: 10.1016/j.neuron.2015.11.013 – ident: e_1_3_2_145_2 doi: 10.1093/nar/gks596 – ident: e_1_3_2_131_2 doi: 10.1093/bioinformatics/btq033 – ident: e_1_3_2_4_2 doi: 10.1038/nature16549 – ident: e_1_3_2_75_2 doi: 10.1016/j.celrep.2016.12.018 – ident: e_1_3_2_126_2 doi: 10.1186/1752-0509-6-92 – ident: e_1_3_2_23_2 doi: 10.1073/pnas.1617384114 – ident: e_1_3_2_8_2 doi: 10.1038/nature08451 – ident: e_1_3_2_108_2 doi: 10.1016/j.ajhg.2010.02.005 – ident: e_1_3_2_147_2 doi: 10.1126/science.aat7615 – ident: e_1_3_2_58_2 doi: 10.1186/s13073-017-0458-5 – ident: e_1_3_2_49_2 doi: 10.1038/ng.3538 – ident: e_1_3_2_16_2 doi: 10.1038/nature10110 – ident: e_1_3_2_80_2 doi: 10.1093/hmg/ddp166 – ident: e_1_3_2_135_2 doi: 10.1038/ng.3552 – ident: e_1_3_2_9_2 doi: 10.1126/science.1262110 – ident: e_1_3_2_127_2 doi: 10.1093/nar/gkw1102 – ident: e_1_3_2_28_2 doi: 10.1038/s41588-018-0062-7 – ident: e_1_3_2_36_2 doi: 10.1007/s00439-011-0975-z – ident: e_1_3_2_50_2 doi: 10.1038/nn.2207 – ident: e_1_3_2_6_2 doi: 10.1126/science.1222794 – ident: e_1_3_2_40_2 doi: 10.1038/ng.3404 – ident: e_1_3_2_64_2 doi: 10.1038/s41588-018-0129-5 – ident: e_1_3_2_136_2 doi: 10.1038/nature17671 – ident: e_1_3_2_120_2 doi: 10.1016/j.molcel.2012.05.021 – ident: e_1_3_2_85_2 doi: 10.1038/nmeth.2714 – ident: e_1_3_2_109_2 – ident: e_1_3_2_146_2 doi: 10.1016/S0022-2836(05)80360-2 – ident: e_1_3_2_26_2 doi: 10.1126/science.aad9417 – ident: e_1_3_2_140_2 doi: 10.1038/ng.943 – ident: e_1_3_2_11_2 doi: 10.1038/nature05874 |
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| Snippet | Most genetic risk for psychiatric disease lies in regulatory regions, implicating pathogenic dysregulation of gene expression and splicing. However,... INTRODUCTIONOur understanding of the pathophysiology of psychiatric disorders, including autism spectrum disorder (ASD), schizophrenia (SCZ), and bipolar... |
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| SubjectTerms | Autism Autism Spectrum Disorder - genetics Autism Spectrum Disorders Behavior disorders Bipolar disorder Bipolar Disorder - genetics Blood-brain barrier Brain Brain - metabolism Coding Data processing Disorders Disruption Effect Size Enrichment Gene expression Gene regulation Gene sequencing Genes Genetic analysis Genetic Predisposition to Disease Genetics Genomes Genotypes Health risks Humans Integration Interferon Literary Devices Mental disorders Modules NF-κB protein Non-coding RNA Pathology Pathophysiology Phenotypes Protein Isoforms - genetics Proteins Psychiatry Regulatory mechanisms (biology) Regulatory sequences Ribonucleic acid Risk RNA RNA Splicing Schizophrenia Schizophrenia - genetics Sequence Analysis, RNA Splicing Transcription Transcriptome |
| Title | Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/30545856 https://www.proquest.com/docview/2156990910 https://www.proquest.com/docview/2157660027 https://pubmed.ncbi.nlm.nih.gov/PMC6443102 |
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