SynthesisSchizophrenia bulletin2014
Systematic prioritization and integrative analysis of copy number variations in schizophrenia reveal key schizophrenia susceptibility genes.
Synthesis in Schizophrenia bulletin, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
20 citing papers in PubMed.
- A review on the relationship between the distal 1q21.1 microdeletion and schizophrenia.Frontiers in genetics · 2025Review
- Pathophysiological Mechanisms of Psychosis-Induced Atrial Fibrillation: The Links between Mental Disorder and Arrhythmia.Reviews in cardiovascular medicine · 2024Review
- Alternative splicing in mouse brains affected by psychological stress is enriched in the signaling, neural transmission and blood-brain barrier pathways.Molecular psychiatry · 2023Article
- Review
- Dissecting Molecular Genetic Mechanisms of 1q21.1 CNV in Neuropsychiatric Disorders.International journal of molecular sciences · 2021Review
- Mechanisms Underlying the Comorbidity of Schizophrenia and Type 2 Diabetes Mellitus.The international journal of neuropsychopharmacology · 2021Review
- Sex-differential DNA methylation and associated regulation networks in human brain implicated in the sex-biased risks of psychiatric disorders.Molecular psychiatry · 2021Article
- Agonal Factors Distort Gene-Expression Patterns in Human Postmortem Brains.Frontiers in neuroscience · 2021Article
- The Role of Brain Microvascular Endothelial Cell and Blood-Brain Barrier Dysfunction in Schizophrenia.Complex psychiatry · 2020Review
- Genetics of schizophrenia (Review).Experimental and therapeutic medicine · 2020Review
- BCL9 provides multi-cellular communication properties in colorectal cancer by interacting with paraspeckle proteins.Nature communications · 2020Article
- Drug discovery for psychiatric disorders using high-content single-cell screening of signaling network responses ex vivo.Science advances · 2019Article
- Prospective memory in non-psychotic first-degree relatives of patients with schizophrenia: a meta-analysis.Neuropsychiatric disease and treatment · 2019Review
- Dysregulation of schizophrenia-related aquaporin 3 through disruption of paranode influences neuronal viability.Journal of neurochemistry · 2018Article
- Review
- Common and Rare Genetic Risk Factors Converge in Protein Interaction Networks Underlying Schizophrenia.Frontiers in genetics · 2018Article
- Article
- SZDB: A Database for Schizophrenia Genetic Research.Schizophrenia bulletin · 2017Article
- A Role for the Transcription Factor Nk2 Homeobox 1 in Schizophrenia: Convergent Evidence from Animal and Human Studies.Frontiers in behavioral neuroscience · 2016Article
- New discoveries in schizophrenia genetics reveal neurobiological pathways: A review of recent findings.European journal of medical genetics · 2015Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Schizophrenia is a common mental disorder with high heritability and strong genetic heterogeneity. Common disease-common variants hypothesis predicts that schizophrenia is attributable in part to common genetic variants. However, recent studies have clearly demonstrated that copy number variations (CNVs) also play pivotal roles in schizophrenia susceptibility and explain a proportion of missing heritability. Though numerous CNVs have been identified, many of the regions affected by CNVs show poor overlapping among different studies, and it is not known whether the genes disrupted by CNVs contribute to the risk of schizophrenia. By using cumulative scoring, we systematically prioritized the genes affected by CNVs in schizophrenia. We identified 8 top genes that are frequently disrupted by CNVs, including NRXN1, CHRNA7, BCL9, CYFIP1, GJA8, NDE1, SNAP29, and GJA5. Integration of genes affected by CNVs with known schizophrenia susceptibility genes (from previous genetic linkage and association studies) reveals that many genes disrupted by CNVs are also associated with schizophrenia. Further protein-protein interaction (PPI) analysis indicates that protein products of genes affected by CNVs frequently interact with known schizophrenia-associated proteins. Finally, systematic integration of CNVs prioritization data with genetic association and PPI data identifies key schizophrenia candidate genes. Our results provide a global overview of genes impacted by CNVs in schizophrenia and reveal a densely interconnected molecular network of de novo CNVs in schizophrenia. Though the prioritized top genes represent promising schizophrenia risk genes, further work with different prioritization methods and independent samples is needed to confirm these findings. Nevertheless, the identified key candidate genes may have important roles in the pathogenesis of schizophrenia, and further functional characterization of these genes may provide pivotal targets for future therapeutics and diagnostics.
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