Search Genes, Diseases, Pathways, SNPs, and Proteins in One Integrated Platform. Empowering researchers to uncover complex genetic interactions for translational science.
GeDiPNet is an open access, unified database on human Gene Disease Pathway Networks. Gene–disease associations within GeDiPNet are compiled from multiple authoritative sources, including DisGeNET, ClinGen, ClinVar, the Human Phenotype Ontology (HPO), OrphaNet, and PsyGeNET. Manually curated to reduce redundancy and minimize data loss. Similar or sub-type disease names are merged into unique terms for efficient analysis.
GeDiPNet offers interlinked data on human genes, single nucleotide polymorphisms (SNPs), diseases, and biological pathways. For each human gene, the database provides high-level annotated information such as gene synonyms, chromosomal location, expression profiles, gene ontology terms, protein-related data, associated SNPs, diseases, and pathways. The data and algorithms available in GeDiPNet can be used for high throughput analysis that can lead to novel insights and hypothesis generation on gene-disease associations and identification of polypharmacological targets.
Citation: Kundu I, Sharma M, Barai RS, Pokar K, Idicula-Thomas S. GeDiPNet: Online resource of curated gene-disease associations for polypharmacological targets discovery. Genes & Diseases, 2023. https://doi.org/10.1016/j.gendis.2022.05.034
Genes
12,280
Diseases
7,292
Pathways
2,179
Access high-quality gene–disease-pathway data from multiple sources to support comprehensive analysis.
Leverage GeDiPNet's advanced analysis tools to uncover enriched pathways, comorbidities, and polypharmacological targets from gene–disease data.
Encouraging interdisciplinary collaboration by enabling open sharing of scientific knowledge.
