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 inNature neuroscience Vol. 21; no. 8; pp. 1117 - 1125
Main Authors Jaffe, Andrew E., Straub, Richard E., Shin, Joo Heon, Tao, Ran, Gao, Yuan, Collado-Torres, Leonardo, Kam-Thong, Tony, Xi, Hualin S., Quan, Jie, Chen, Qiang, Colantuoni, Carlo, Ulrich, William S., Maher, Brady J., Deep-Soboslay, Amy, Cross, Alan J., Brandon, Nicholas J., Leek, Jeffrey T., Hyde, Thomas M., Kleinman, Joel E., Weinberger, Daniel R.
Format Journal Article
LanguageEnglish
Published New York Nature Publishing Group US 01.08.2018
Nature Publishing Group
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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 . 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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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