ArticleNucleic acids research2016
DGIdb 2.0: mining clinically relevant drug-gene interactions.
Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 249 papers, 7 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
249 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- GWAS Meta-Analysis of Suicide Attempt: Identification of 12 Genome-Wide Significant Loci and Implication of Genetic Risks for Specific Health Factors.The American journal of psychiatry · 2023Pooled it
- Transcriptome-wide association study of circulating IgE levels identifies novel targets for asthma and allergic diseases.Frontiers in immunology · 2023Pooled it
- Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology.Nature genetics · 2021Pooled it
- Pooled it
- The Pathway to Cancer Cachexia: MicroRNA-Regulated Networks in Muscle Wasting Based on Integrative Meta-Analysis.International journal of molecular sciences · 2019Pooled it
- Viral Induced Oxidative and Inflammatory Response in Alzheimer's Disease Pathogenesis with Identification of Potential Drug Candidates: A Systematic Review using Systems Biology Approach.Current neuropharmacology · 2019Pooled it
- Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression.Nature genetics · 2018Pooled it
- The genetics of smoking in individuals with chronic obstructive pulmonary disease.Respiratory research · 2018Trial
- Explainable/interpretable artificial intelligence and knowledge graph neural network for synthetic lethality prediction: overview, challenges, and future directions.Briefings in bioinformatics · 2026Review
- Searching the druggable genome using large language models.Bioinformatics (Oxford, England) · 2026Article
- Migraine immune cell gene targets and their relationship to psychiatric disorders.The journal of headache and pain · 2026Article
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- Bio-inspired suction cup microneedle loaded fusion membrane targeting nano-drug delivery system treat androgenetic alopecia.Journal of nanobiotechnology · 2026Article
- Searching the Druggable Genome using Large Language Models.bioRxiv : the preprint server for biology · 2026Article
- Heme oxygenase-1 emerges as a critical regulator linking autophagy dysregulation, immune infiltration, and NOD-Like receptor signaling in PCOS pathogenesis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Integrating network toxicology, machine learning, and molecular dynamics simulations to reveal tanshinone iia's dual mechanisms in TNBC and doxorubicin-induced cardiotoxicity.Scientific reports · 2026Article
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- Repurposed metformin-apigenin combination therapy for metabolic dysfunction-associated steatohepatitis: from integrative multi-omics discovery toFrontiers in pharmacology · 2026Article
- Heme oxygenase-1 activation in mononuclear phagocytes in acute Kawasaki disease.Frontiers in pediatrics · 2026Article
- Data-driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes.Molecular oncology · 2025Article
189 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
15 authors.
Funding
Abstract
The Drug-Gene Interaction Database (DGIdb, www.dgidb.org) is a web resource that consolidates disparate data sources describing drug-gene interactions and gene druggability. It provides an intuitive graphical user interface and a documented application programming interface (API) for querying these data. DGIdb was assembled through an extensive manual curation effort, reflecting the combined information of twenty-seven sources. For DGIdb 2.0, substantial updates have been made to increase content and improve its usefulness as a resource for mining clinically actionable drug targets. Specifically, nine new sources of drug-gene interactions have been added, including seven resources specifically focused on interactions linked to clinical trials. These additions have more than doubled the overall count of drug-gene interactions. The total number of druggable gene claims has also increased by 30%. Importantly, a majority of the unrestricted, publicly-accessible sources used in DGIdb are now automatically updated on a weekly basis, providing the most current information for these sources. Finally, a new web view and API have been developed to allow searching for interactions by drug identifiers to complement existing gene-based search functionality. With these updates, DGIdb represents a comprehensive and user friendly tool for mining the druggable genome for precision medicine hypothesis generation.
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What OpenQuestion holds
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.