Developmental and genetic regulation of the human cortex transcriptome illuminate schizophrenia pathogenesis
Genome-wide association studies have identified 108 schizophrenia risk loci, but biological mechanisms for individual loci are largely unknown. Using developmental, genetic and illness-based RNA sequencing expression analysis in human brain, we characterized the human brain transcriptome around thes...
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Published in | Nature neuroscience Vol. 21; no. 8; pp. 1117 - 1125 |
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Main Authors | , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Nature Publishing Group US
01.08.2018
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | Genome-wide association studies have identified 108 schizophrenia risk loci, but biological mechanisms for individual loci are largely unknown. Using developmental, genetic and illness-based RNA sequencing expression analysis in human brain, we characterized the human brain transcriptome around these loci and found enrichment for developmentally regulated genes with novel examples of shifting isoform usage across pre- and postnatal life. We found widespread expression quantitative trait loci (eQTLs), including many with transcript specificity and previously unannotated sequence that were independently replicated. We leveraged this general eQTL database to show that 48.1% of risk variants for schizophrenia associate with nearby expression. We lastly found 237 genes significantly differentially expressed between patients and controls, which replicated in an independent dataset, implicated synaptic processes, and were strongly regulated in early development. These findings together offer genetics- and diagnosis-related targets for better modeling of schizophrenia risk. This resource is publicly available at
http://eqtl.brainseq.org/phase1
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The authors surveyed gene expression across cortical development and in individuals with schizophrenia. Three-fold more risk variants influenced expression than known. Risk genes showed developmental regulation, while diagnosis changes implicated largely treatment effects. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 T.K.T.,S.X.,J.Q.,C.C.,B.J.M., A.J.C.,N.J.B.,BrainSeq – provided feedback on manuscript and contributed to data analyses and interpretations on eQTL analyses. W.S.U. – created user-friendly database of eQTLs R.E.S – contributed to data analysis and writing of the manuscript D.R.W. – designed and oversaw the research project and analysis of the data, wrote the manuscript J.H.S., R.T., Y.G. – performed RNA sequencing data generation (RNA extraction, library preparation, and sequencing) and QC analyses T.M.H.,J.E.K.- collected, consented, characterized, and dissected human brain tissue; contributed to the design of the study A.E.J – performed primary data processing and analyses, led the writing of the manuscript L.C.T.,J.T.L – performed region-level data generation and assisted in data analysis and interpretation A.D.S. – consented and clinically characterized human brain donors Author Contributions |
ISSN: | 1097-6256 1546-1726 1546-1726 |
DOI: | 10.1038/s41593-018-0197-y |