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Synergistic effects of common schizophrenia risk variants
- Source :
- Nature genetics
- Publication Year :
- 2019
-
Abstract
- The mechanisms by which common risk variants of small effect interact to contribute to complex genetic disorders remain unclear. Here, we apply a genetic approach, using isogenic human induced pluripotent stem cells (hiPSCs), to evaluate the effects of schizophrenia-associated common variants predicted to function as brain expression quantitative trait loci (SZ-eQTLs). By integrating CRISPR-mediated gene editing, activation and repression technologies to study one putative SZ-eQTL (FURIN rs4702) and four top-ranked SZ-eQTL genes (FURIN, SNAP91, TSNARE1, CLCN3), our platform resolves pre- and post-synaptic neuronal deficits, recapitulates genotype-dependent gene expression differences, and identifies convergence downstream of SZ-eQTL gene perturbations. Our observations highlight the cell-type-specific effects of common variants and demonstrate a synergistic effect between SZ-eQTL genes that converges on synaptic function. We propose that the links between rare and common variants implicated in psychiatric disease risk constitute a potentially generalizable phenomenon occurring more widely in complex genetic disorders.
- Subjects :
- Male
Induced Pluripotent Stem Cells
Quantitative Trait Loci
Genome-wide association study
Computational biology
Quantitative trait locus
Polymorphism, Single Nucleotide
Article
03 medical and health sciences
0302 clinical medicine
Genome editing
Chloride Channels
Gene expression
Genetics
Humans
Genetic Predisposition to Disease
Furin
Gene
030304 developmental biology
Regulation of gene expression
Gene Editing
0303 health sciences
Binding Sites
biology
Gene Expression Regulation
Monomeric Clathrin Assembly Proteins
Expression quantitative trait loci
biology.protein
Schizophrenia
Female
CRISPR-Cas Systems
SNARE Proteins
030217 neurology & neurosurgery
Genome-Wide Association Study
Subjects
Details
- Language :
- English
- ISSN :
- 15461718 and 10614036
- Volume :
- 51
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- Nature genetics
- Accession number :
- edsair.doi.dedup.....f8ed3bce958e513e0c868faa3ba3030b