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DISNOR: a disease network open resource.

Prisca Lo Surdo1, Alberto Calderone1, Marta Iannuccelli1

  • 1Bioinformatics and Computational Biology Unit, Department of Biology, University of Rome 'Tor Vergata', 00133 Rome, Italy.

Nucleic Acids Research
|October 17, 2017
PubMed
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DISNOR is a new resource that integrates gene-disease associations with causal interactions to infer disease pathways. This aids in understanding disease mechanisms and advancing precision medicine by visualizing gene networks.

Area of Science:

  • Genomics
  • Systems Biology
  • Bioinformatics

Background:

  • The rapid increase in identifying disease-associated genes necessitates tools to understand complex disease mechanisms.
  • Dissecting signaling events disrupted in diseases is crucial for developing precision medicine strategies.

Purpose of the Study:

  • To introduce DISNOR, a novel resource for assembling inferred disease pathways by integrating gene-disease association data and curated causal interactions.
  • To provide a platform for exploring disease-specific networks and understanding the molecular underpinnings of pathological phenotypes.

Main Methods:

  • Combined gene-disease association (GDA) data from DisGeNET with manually curated causal interactions from the SIGNOR database.
  • Developed a resource (DISNOR) to link disease genes through annotated causal relationships, enabling visualization of inferred 'patho-pathways'.

Related Experiment Videos

  • Implemented gene set enrichment analysis on KEGG pathways and inferred disease pathway proteins for user-defined or DisGeNET-annotated gene lists.

    • Main Results:

    • DISNOR offers access to over 3700 disease networks, connecting approximately 2600 disease genes.
    • The resource provides intuitive visualization of inferred disease pathways at various complexity levels.
    • Gene set enrichment analysis offers insights into disease-associated cellular pathways and disease similarity.

    Conclusions:

    • DISNOR serves as a valuable resource for exploring disease-gene relationships and inferring pathological pathways.
    • The platform facilitates research in precision medicine by providing a comprehensive view of disease mechanisms.
    • DISNOR enhances understanding of disease-associated cellular pathways and aids in identifying disease similarities.