ArticleDatabase : the journal of biological databases and curation2022
Diseases 2.0: a weekly updated database of disease-gene associations from text mining and data integration.
Article in Database : the journal of biological databases and curation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 1 of them a synthesis that pooled it.
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Who cites it
85 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Sex chromosome aneuploidy impacts on human gene expression and regulation: a systematic review.Molecular medicine (Cambridge, Mass.) · 2025Pooled it
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- Genetic and pathway complexity in Alzheimer's disease: Insights from multi-omic data about the immune response and mitochondrial function.Neural regeneration research · 2026Article
- Target-biology and interactome-derived signatures predict target-level associations with safety-related drug attrition.Scientific reports · 2026Article
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- Single-nucleus multi-omics dissection of dysregulated trophoblast development and disrupted immune microenvironment in complete hydatidiform moles.Science China. Life sciences · 2026Article
- Molecular maps of diseases from omics data and network embeddings.NPJ systems biology and applications · 2026Article
- A global survey of systems biology-based predictions of gene-rare disease associations to enhance new diagnoses.Scientific reports · 2026Article
- Machine learning cross-platform proteomic imputation enables protein quality scoring and replication of epidemiological associations.bioRxiv : the preprint server for biology · 2026Article
- SenSet defines cell-type specific senescence signatures in the aged human lung.The EMBO journal · 2026Article
- Genetic and functional insights into long noncoding RNAs in schizophrenia.Molecular psychiatry · 2026Article
- Extensive genetic interactions (epistasis) linked to alcohol use disorder in a high-risk population.Communications biology · 2026Article
- Proteomic profiling and pathway analyses reveal molecular signatures and immune networks in pediatric sepsis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- GalNAc-T13 maintains neurite architecture and memory retention via O-GalNAc glycosylation of seizure protein 6.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Safetyome and specialized panels for over 3,000 phenotypes: a systematic and translational approach using human genetics and pharmacology.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Decoding Human Placental Cellular and Molecular Responses to Obesity and Fetal Growth.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Integrated network pharmacology and bioinformatics analysis reveals MME as key target of Notoginsenoside R1 in diabetic nephropathy.BMC complementary medicine and therapies · 2026Article
- Transcriptional signature of induced neurons differentiates virologically suppressed people with HIV from people without HIV.JCI insight · 2026Article
25 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The scientific knowledge about which genes are involved in which diseases grows rapidly, which makes it difficult to keep up with new publications and genetics datasets. The DISEASES database aims to provide a comprehensive overview by systematically integrating and assigning confidence scores to evidence for disease-gene associations from curated databases, genome-wide association studies (GWAS) and automatic text mining of the biomedical literature. Here, we present a major update to this resource, which greatly increases the number of associations from all these sources. This is especially true for the text-mined associations, which have increased by at least 9-fold at all confidence cutoffs. We show that this dramatic increase is primarily due to adding full-text articles to the text corpus, secondarily due to improvements to both the disease and gene dictionaries used for named entity recognition, and only to a very small extent due to the growth in number of PubMed abstracts. DISEASES now also makes use of a new GWAS database, Target Illumination by GWAS Analytics, which considerably increased the number of GWAS-derived disease-gene associations. DISEASES itself is also integrated into several other databases and resources, including GeneCards/MalaCards, Pharos/Target Central Resource Database and the Cytoscape stringApp. All data in DISEASES are updated on a weekly basis and is available via a web interface at https://diseases.jensenlab.org, from where it can also be downloaded under open licenses. Database URL: https://diseases.jensenlab.org.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.