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 |
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Summary: | 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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Bibliography: | 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 |
ISSN: | 0036-8075 1095-9203 1095-9203 |
DOI: | 10.1126/science.aat8127 |