DISNOR: a disease network open resource

Nucleic Acids Res. 2018 Jan 4;46(D1):D527-D534. doi: 10.1093/nar/gkx876.

Abstract

DISNOR is a new resource that aims at exploiting the explosion of data on the identification of disease-associated genes to assemble inferred disease pathways. This may help dissecting the signaling events whose disruption causes the pathological phenotypes and may contribute to build a platform for precision medicine. To this end we combine the gene-disease association (GDA) data annotated in the DisGeNET resource with a new curation effort aimed at populating the SIGNOR database with causal interactions related to disease genes with the highest possible coverage. DISNOR can be freely accessed at http://DISNOR.uniroma2.it/ where >3700 disease-networks, linking ∼2600 disease genes, can be explored. For each disease curated in DisGeNET, DISNOR links disease genes by manually annotated causal relationships and offers an intuitive visualization of the inferred 'patho-pathways' at different complexity levels. User-defined gene lists are also accepted in the query pipeline. In addition, for each list of query genes-either annotated in DisGeNET or user-defined-DISNOR performs a gene set enrichment analysis on KEGG-defined pathways or on the lists of proteins associated with the inferred disease pathways. This function offers additional information on disease-associated cellular pathways and disease similarity.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Data Curation
  • Databases, Genetic*
  • Disease / genetics*
  • Gene Regulatory Networks
  • Genetic Association Studies
  • Humans
  • Internet
  • Mutation
  • Polymorphism, Single Nucleotide
  • Search Engine
  • Signal Transduction / genetics
  • Software
  • User-Computer Interface