Back to Search
Start Over
Developmental and genetic regulation of the human cortex transcriptome illuminate schizophrenia pathogenesis.
- Source :
-
Nature neuroscience [Nat Neurosci] 2018 Aug; Vol. 21 (8), pp. 1117-1125. Date of Electronic Publication: 2018 Jul 26. - Publication Year :
- 2018
-
Abstract
- 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 .
- Subjects :
- Adolescent
Adult
Autopsy
Child
Child, Preschool
Chronic Disease
Databases, Genetic
Female
Genetic Predisposition to Disease genetics
Genetic Variation
Genotype
Humans
Infant
Male
Polymorphism, Single Nucleotide
Pregnancy
Sequence Analysis, RNA
Gene Expression Regulation, Developmental genetics
Prefrontal Cortex growth & development
Prefrontal Cortex physiopathology
Schizophrenia genetics
Schizophrenia physiopathology
Transcriptome genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1546-1726
- Volume :
- 21
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Nature neuroscience
- Publication Type :
- Academic Journal
- Accession number :
- 30050107
- Full Text :
- https://doi.org/10.1038/s41593-018-0197-y