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Frequently Asked Questions

+ What is GeDiPNet?

GeDiPNet (Gene Disease Pathway Network) is an open-access database that integrates gene-disease associations from various sources, offering curated information on human genes, diseases, SNPs, and pathways. It supports efficient analysis of gene-disease relationships and is designed for high-throughput analysis to identify insights into genetic disease associations, polypharmacological targets, and gene-disease pathway networks. GeDiPNet is a comprehensive resource for exploring gene-disease interactions, helping researchers uncover novel insights in genetic disease research and precision medicine.

+ Why study gene-disease associations?

Studying gene-disease associations helps understand disease mechanisms, identify diagnostic biomarkers, inform personalized medicine, and enable risk assessment and predictive medicine.

+ What types of information can I retrieve for human genes using GeDiPNet?

GeDiPNet provides comprehensive information on human genes, including gene-disease associations, protein domain/family data, pathway analysis, functional annotations, gene expression, regulation, genetic variations, and protein-protein interactions.

+ What types of analysis can I perform using GeDiPNet?

GeDiPNet provides four types of analysis: enrichment analysis for identifying significant gene-disease associations, comorbidity prediction for exploring disease relationships, Venn analysis for examining overlaps in genes or pathways, and polypharmacological target prediction for assessing potential multi-target therapeutics.

+ How are sub-types or similar disease names handled in GeDiPNet?

Sub-types or similar disease names are merged into unique terms for efficient analysis.

+ How often is GeDiPNet updated?

GeDiPNet is regularly updated to ensure the latest research and data are included.

+ I'm experiencing technical issues with GeDiPNet. Who do I contact?

Contact our support team at biomedinfo@nirrch.res.in

+ How do I cite GeDiPNet?

Kundu I, Sharma M, Barai RS, Pokar K, Idicula-Thomas S (2022). GeDiPNet: Online resource of curated gene-disease associations for polypharmacological targets discovery. Genes & Diseases , https://doi.org/10.1016/j.gendis.2022.05.034

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