Developmental and genetic regulation of the human cortex transcriptome illuminate schizophrenia pathogenesis

被引:0
|
作者
Andrew E. Jaffe
Richard E. Straub
Joo Heon Shin
Ran Tao
Yuan Gao
Leonardo Collado-Torres
Tony Kam-Thong
Hualin S. Xi
Jie Quan
Qiang Chen
Carlo Colantuoni
William S. Ulrich
Brady J. Maher
Amy Deep-Soboslay
Alan J. Cross
Nicholas J. Brandon
Jeffrey T. Leek
Thomas M. Hyde
Joel E. Kleinman
Daniel R. Weinberger
机构
[1] Johns Hopkins Medical Campus,Lieber Institute for Brain Development
[2] Johns Hopkins Bloomberg School of Public Health,Department of Mental Health
[3] Johns Hopkins Bloomberg School of Public Health,Department of Biostatistics
[4] Johns Hopkins University,Center for Computational Biology
[5] Johns Hopkins School of Medicine,McKusick
[6] Johns Hopkins School of Medicine,Nathans Institute of Genetic Medicine
[7] Roche Pharma Research and Early Development,Department of Psychiatry and Behavioral Sciences
[8] Pharmaceutical Sciences,Department of Neurology
[9] Roche Innovation Center Basel,Department of Neuroscience
[10] F. Hoffmann-La Roche Ltd,Neuroscience, IMED Biotech Unit
[11] Computational Sciences,undefined
[12] Pfizer Inc,undefined
[13] Johns Hopkins School of Medicine,undefined
[14] Johns Hopkins School of Medicine,undefined
[15] AstraZeneca,undefined
来源
Nature Neuroscience | 2018年 / 21卷
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摘要
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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页码:1117 / 1125
页数:8
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