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International Journal of Molecular Medicine
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Comprehensive literature data-mining analysis reveals a broad genetic network functionally associated with autism spectrum disorder

  • Authors:
    • Cheng Xu
    • Hongbao Cao
    • Fuquan Zhang
    • Chris Cheadle
  • View Affiliations / Copyright

    Affiliations: Department of Magnetic Resonance Imaging, Shanxi Province People's Hospital, Taiyuan, Shanxi 030001, P.R China, Department of Genomics Research, Elsevier R&D Solutions, Elsevier Inc., Rockville, MD 20852, USA, Wuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangsu 214151, P.R China, Department of Genomics Research, Elsevier R&D Solutions, Elsevier Inc., Rockville, MD 20852, USA
    Copyright: © Xu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 2353-2362
    |
    Published online on: August 28, 2018
       https://doi.org/10.3892/ijmm.2018.3845
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Abstract

Previous studies have indicated that genetic factors are the predominate cause of Autism spectrum disorder (ASD). Nevertheless, to the best of our knowledge, to date no systematic study has summarized these data and provided an objective, complete list of genes with demonstrated associations with ASD. The present study included a literature data mining analysis of >2,064 articles including publications from January 2000 to April 2016, which identified 488 ASD target genes. Gene set enrichment analysis (GSEA), sub‑network enrichment analysis (SNEA) and network connectivity analysis (NCA) were conducted to assess the functional profile and pathogenic significance of these genes. A total of 2 literature metrics were proposed to prioritize the curated ASD genes with specific significance. This approach resulted in the development of an ASD genetic database. Subsequent analysis indicated that 391 of the 488 genes were enriched in 97 biological pathways (P<1x10‑8), demonstrating significant functional associations with each other. The majority of these curated ASD genes also serve significant roles in the pathogenesis of other neuropsychiatric disorders. These results suggest that the genetic causes of ASD are within a large network composed of functionally‑associated genes. The genetic database, together with the metric scores developed in the present study, provides a basis for future biological/genetic modeling in the field.
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Copy and paste a formatted citation
Spandidos Publications style
Xu C, Cao H, Zhang F and Cheadle C: Comprehensive literature data-mining analysis reveals a broad genetic network functionally associated with autism spectrum disorder. Int J Mol Med 42: 2353-2362, 2018.
APA
Xu, C., Cao, H., Zhang, F., & Cheadle, C. (2018). Comprehensive literature data-mining analysis reveals a broad genetic network functionally associated with autism spectrum disorder. International Journal of Molecular Medicine, 42, 2353-2362. https://doi.org/10.3892/ijmm.2018.3845
MLA
Xu, C., Cao, H., Zhang, F., Cheadle, C."Comprehensive literature data-mining analysis reveals a broad genetic network functionally associated with autism spectrum disorder". International Journal of Molecular Medicine 42.5 (2018): 2353-2362.
Chicago
Xu, C., Cao, H., Zhang, F., Cheadle, C."Comprehensive literature data-mining analysis reveals a broad genetic network functionally associated with autism spectrum disorder". International Journal of Molecular Medicine 42, no. 5 (2018): 2353-2362. https://doi.org/10.3892/ijmm.2018.3845
Copy and paste a formatted citation
x
Spandidos Publications style
Xu C, Cao H, Zhang F and Cheadle C: Comprehensive literature data-mining analysis reveals a broad genetic network functionally associated with autism spectrum disorder. Int J Mol Med 42: 2353-2362, 2018.
APA
Xu, C., Cao, H., Zhang, F., & Cheadle, C. (2018). Comprehensive literature data-mining analysis reveals a broad genetic network functionally associated with autism spectrum disorder. International Journal of Molecular Medicine, 42, 2353-2362. https://doi.org/10.3892/ijmm.2018.3845
MLA
Xu, C., Cao, H., Zhang, F., Cheadle, C."Comprehensive literature data-mining analysis reveals a broad genetic network functionally associated with autism spectrum disorder". International Journal of Molecular Medicine 42.5 (2018): 2353-2362.
Chicago
Xu, C., Cao, H., Zhang, F., Cheadle, C."Comprehensive literature data-mining analysis reveals a broad genetic network functionally associated with autism spectrum disorder". International Journal of Molecular Medicine 42, no. 5 (2018): 2353-2362. https://doi.org/10.3892/ijmm.2018.3845
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