DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants
- PMID: 27924018
- PMCID: PMC5210640
- DOI: 10.1093/nar/gkw943
DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants
Abstract
The information about the genetic basis of human diseases lies at the heart of precision medicine and drug discovery. However, to realize its full potential to support these goals, several problems, such as fragmentation, heterogeneity, availability and different conceptualization of the data must be overcome. To provide the community with a resource free of these hurdles, we have developed DisGeNET (http://www.disgenet.org), one of the largest available collections of genes and variants involved in human diseases. DisGeNET integrates data from expert curated repositories, GWAS catalogues, animal models and the scientific literature. DisGeNET data are homogeneously annotated with controlled vocabularies and community-driven ontologies. Additionally, several original metrics are provided to assist the prioritization of genotype-phenotype relationships. The information is accessible through a web interface, a Cytoscape App, an RDF SPARQL endpoint, scripts in several programming languages and an R package. DisGeNET is a versatile platform that can be used for different research purposes including the investigation of the molecular underpinnings of specific human diseases and their comorbidities, the analysis of the properties of disease genes, the generation of hypothesis on drug therapeutic action and drug adverse effects, the validation of computationally predicted disease genes and the evaluation of text-mining methods performance.
© The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.
Figures
Similar articles
-
DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes.Database (Oxford). 2015 Apr 15;2015:bav028. doi: 10.1093/database/bav028. Print 2015. Database (Oxford). 2015. PMID: 25877637 Free PMC article.
-
The DisGeNET knowledge platform for disease genomics: 2019 update.Nucleic Acids Res. 2020 Jan 8;48(D1):D845-D855. doi: 10.1093/nar/gkz1021. Nucleic Acids Res. 2020. PMID: 31680165 Free PMC article.
-
DisGeNET: a Cytoscape plugin to visualize, integrate, search and analyze gene-disease networks.Bioinformatics. 2010 Nov 15;26(22):2924-6. doi: 10.1093/bioinformatics/btq538. Epub 2010 Sep 21. Bioinformatics. 2010. PMID: 20861032
-
MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search.Nucleic Acids Res. 2017 Jan 4;45(D1):D877-D887. doi: 10.1093/nar/gkw1012. Epub 2016 Nov 28. Nucleic Acids Res. 2017. PMID: 27899610 Free PMC article. Review.
-
Mouse Genome Informatics (MGI) Is the International Resource for Information on the Laboratory Mouse.Methods Mol Biol. 2018;1757:141-161. doi: 10.1007/978-1-4939-7737-6_7. Methods Mol Biol. 2018. PMID: 29761459 Review.
Cited by
-
Genomic variants associated with age at diagnosis of childhood-onset type 1 diabetes.J Hum Genet. 2024 Nov;69(11):585-590. doi: 10.1038/s10038-024-01272-3. Epub 2024 Jul 10. J Hum Genet. 2024. PMID: 38982180
-
Alzheimer's disease: insights from a network medicine perspective.Sci Rep. 2022 Oct 7;12(1):16846. doi: 10.1038/s41598-022-20404-3. Sci Rep. 2022. PMID: 36207441 Free PMC article.
-
Dandelion extract inhibits triple-negative breast cancer cell proliferation by interfering with glycerophospholipids and unsaturated fatty acids metabolism.Front Pharmacol. 2022 Sep 6;13:942996. doi: 10.3389/fphar.2022.942996. eCollection 2022. Front Pharmacol. 2022. PMID: 36147318 Free PMC article.
-
Interpretable deep learning translation of GWAS and multi-omics findings to identify pathobiology and drug repurposing in Alzheimer's disease.Cell Rep. 2022 Nov 29;41(9):111717. doi: 10.1016/j.celrep.2022.111717. Cell Rep. 2022. PMID: 36450252 Free PMC article.
-
An Exosomal miRNA Biomarker for the Detection of Pancreatic Ductal Adenocarcinoma.Biosensors (Basel). 2022 Oct 6;12(10):831. doi: 10.3390/bios12100831. Biosensors (Basel). 2022. PMID: 36290970 Free PMC article.
References
-
- Bauer-Mehren A., Rautschka M., Sanz F., Furlong L.I. DisGeNET: a Cytoscape plugin to visualize, integrate, search and analyze gene-disease networks. Bioinformatics. 2010;26:2924–2926. - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources