Cited by 200Schizophrenia research and treatmentBioinformatics and Genomic NetworksGenetic Associations and Epidemiology

Diverse types of genetic variation converge on functional gene networks involved in schizophrenia

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Gilman, Sarah R, Chang, Jonathan, Xu, Bin, Bawa, Tejdeep S, Gogos, Joseph A, Karayiorgou, Maria, Vitkup, Dennis·2012·Nature Neuroscience

Abstract

Despite the successful identification of several relevant genomic loci, the underlying molecular mechanisms of schizophrenia remain largely unclear. We developed a computational approach (NETBAG+) that allows an integrated analysis of diverse disease-related genetic data using a unified statistical framework. The application of this approach to schizophrenia-associated genetic variations, obtained using unbiased whole-genome methods, allowed us to identify several cohesive gene networks related to axon guidance, neuronal cell mobility, synaptic function and chromosomal remodeling. The genes forming the networks are highly expressed in the brain, with higher brain expression during prenatal development. The identified networks are functionally related to genes previously implicated in schizophrenia, autism and intellectual disability. A comparative analysis of copy number variants associated with autism and schizophrenia suggests that although the molecular networks implicated in these distinct disorders may be related, the mutations associated with each disease are likely to lead, at least on average, to different functional consequences.

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  • NETBAG+ applied to large sets of SNVs and CNVs in schizophrenia and ASD confirmed convergence of disease genes onto shared pathways.

    “An extension of the NETBAG approach (dubbed NETBAG+) has also been applied to simultaneously evaluate large sets of single-nucleotide variants (SNVs) and CNVs in schizophrenia131 and ASD132, confirming the convergence of disease genes onto shared pathways.”

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Authors
Gilman, S. R., Chang, J., Xu, B., Bawa, T. S., Gogos, J. A., Karayiorgou, M., & Vitkup, D.
Affiliations
Columbia University (US)
Corresponding author
Vitkup, Dennis
Venue
Nature Neuroscience
Published
2012-11-11
Volume
15
Issue
12
Pages
1723-1728
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W2138976678
Cited by
200
References
50
Citations by year
2026: 1 · 2025: 4 · 2024: 4 · 2023: 9 · 2022: 4 · 2021: 10 · 2020: 23 · 2019: 31 · 2018: 12 · 2017: 9 · 2016: 16 · 2015: 20 · 2014: 30 · 2013: 26 · 2012: 1
FWCI
17.59
Type
journal article
Language
en
Open access
Locations
  • Nature Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute of Mental Health (MH061399, R01MH061399, R01MH077235, MH077235)
  • National Cancer Institute (U54CA121852)
  • National Institute of General Medical Sciences (T32GM082797, R01GM079759)
  • U.S. National Library of Medicine (T15LM007079)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
Keywords
schizophrenia, genetic variation, gene networks, axon guidance, synaptic function, copy number variation, autism spectrum disorder, intellectual disability, brain gene expression, prenatal development
MeSH terms
Autistic Disorder, Multigene Family, Humans, Intellectual Disability, Phenotype, Schizophrenia, Genetic Variation, Cluster Analysis, Gene Expression Regulation, Developmental, Genetic Predisposition to Disease, Gene Regulatory Networks, Protein Interaction Domains and Motifs, Genome-Wide Association Study

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