Convergent impact of schizophrenia risk genes
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA826528 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR18747100_1.fastq.gz | Fastqsanger.gz | |||
| SRR18747100_2.fastq.gz | Fastqsanger.gz | |||
| SRR18747101_1.fastq.gz | Fastqsanger.gz | |||
| SRR18747101_2.fastq.gz | Fastqsanger.gz | |||
| SRR18747102_1.fastq.gz | Fastqsanger.gz |
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Project description:Autism spectrum disorder (ASD) is a highly heritable neurodevelopmental disorder characterized by deficits in social interactions and communication. Protein function altering variants in many genes have been shown to contribute to ASD risk; however, understanding the biological convergence across so many genes has been difficult and genetic studies depending on presence of deleterious variation may be limited in implicating highly intolerant genes with shorter coding sequences. Here, we demonstrate that coexpression patterns from human post-mortem brain samples (N = 993) are significantly correlated with the transcriptional consequences of CRISPR perturbations (gene editing, interference and activation) in human neurons (N = 17). Across 71 ASD risk genes, there is significant tissue-specific transcriptional convergence that implicates synaptic pathways. Tissue specific convergence of risk genes is a generalizable phenomenon, shown additionally in schizophrenia (brain) and atrial fibrillation (heart). The degree of this convergence in ASD is significantly correlated with the level of association to ASD from sequencing studies (rho = -0.32, P = 3.03 ×10−65) as well as differential expression in post-mortem ASD brains (rho = -0.23, P = 2.39×10−43). After removing all genes statistically associated with ASD, the remaining positively convergent genes showed intolerance to functional mutations, had shorter coding lengths than the ASD genes and were enriched for genes with clinical reports of potential pathogenic contribution to ASD. These results indicate that leveraging convergent coexpression can identify potentially novel risk genes that are unlikely to be discovered by sequencing studies. Overall, this work provides a simple approach to functionally proxy CRISPR perturbation, demonstrates significant context-specific transcriptional convergence among known risk genes of multiple diseases, and proposes novel ASD risk gene candidates.
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Project description:Genome-wide association studies (GWAS) have accelerated the discovery of numerous genetic variants associated with schizophrenia. However, most risk variants show a small effect size (odds ratio (OR)<1.2), suggesting that more functional risk variants remain to be identified. Here, we employed region-based multi-marker analysis of genomic annotation (MAGMA) to identify additional risk loci containing variants with large OR value from Psychiatry Genomics Consortium (PGC2) schizophrenia GWAS data and then employed summary-data-based mendelian randomization (SMR) to prioritize schizophrenia susceptibility genes. The top-ranked susceptibility gene ATP5MD, encoding an ATP synthase membrane subunit, is observed to be downregulated in schizophrenia by the risk allele of CNNM2-rs1926032 in the schizophrenia-associated 10q24.32 locus.
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Project description:Background Chromosome 16p11.2 is one of the most significant loci in the genome-wide association study (GWAS) of schizophrenia. Despite several integrative analyses and functional genomics studies have been carried out to identify possible risk genes, their impacts in the pathogenesis of schizophrenia remain to be fully characterized. Methods We performed expression quantitative trait loci (eQTL) and summary-data-based Mendelian randomization (SMR) analyses to identify schizophrenia risk genes in the 16p11.2 GWAS locus. We constructed the murine model with dysregulated expression of risk gene in the medial prefrontal cortex (mPFC) using stereotaxic injection of Adeno-associated Virus (AAV), followed by behavioral assessments, dendritic spine analyses and RNA sequencing. Findings We identified significant associations between elevated INO80E mRNA expression in frontal cortex and risk of schizophrenia. The mice overexpressing Ino80e in mPFC (Ino80e-OE) exhibited schizophrenia-like behaviors, including increased anxiety behavior, anhedonia, and impaired prepulse inhibition (PPI) when compared with control group. The neuronal sparse labeling assay showed that the density of mushroom spines in the pyramidal neurons of mPFC was significantly decreased in Ino80e-OE mice compared with control mice, accompanied by a notable increase in the density of stubby spines. Transcriptomic analysis in the mPFC revealed significant alterations in the mRNA levels of schizophrenia-related genes and processes related to synapses upon overexpressing Ino80e . Interpretation Our results suggest that upregulation of the Ino80e gene in mPFC may induce schizophrenia-like behaviors in mice, further supporting the hypothesis that INO80E is an authentic risk gene.
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