ArticleNucleic acids research2009
Comparative Toxicogenomics Database: a knowledgebase and discovery tool for chemical-gene-disease networks.
Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers.
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
147 citing papers in PubMed.
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- Integrating genomic and exposomic data identifies endocrine disruptors potentially associated with chronic obstructive pulmonary disease.Human genomics · 2026Article
- Perfluorooctanoic acid-associated complement factor B upregulation and atrial fibrillation-related molecular alterations: integrated network toxicology, Mendelian randomization, molecular dynamics, and HL-1 cell analyses.Frontiers in cardiovascular medicine · 2026Article
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- Vaginal pharmacomicrobiomics modulates risk of persistent and recurrent bacterial vaginosis.NPJ biofilms and microbiomes · 2025Review
- Cardamom synergizes with cisplatin against human osteosarcoma cells by mTOR-mediated autophagy.Cancer gene therapy · 2025Article
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- Analysis of systemic effects of dioxin on human health through template-and-anchor modeling.PLoS computational biology · 2025Article
- Integrating AI-powered text mining from PubTator into the manual curation workflow at the Comparative Toxicogenomics Database.Database : the journal of biological databases and curation · 2025Article
- Progress in toxicogenomics to protect human health.Nature reviews. Genetics · 2025Review
- Exploring the therapeutic mechanism of itraconazole combined with ritonavir onFrontiers in pharmacology · 2025Article
- Exploring Toxicity of Per- and Polyfluoroalkyl Substances (PFAS) Mixture Through ADMET and Toxicogenomic In Silico Analysis: Molecular Insights.International journal of molecular sciences · 2024Article
- Towards discovery: an end-to-end system for uncovering novel biomedical relations.Database : the journal of biological databases and curation · 2024Article
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- Enabling personalised disease diagnosis by combining a patient's time-specific gene expression profile with a biomedical knowledge base.BMC bioinformatics · 2024Article
87 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
6 authors.
Funding
Abstract
The Comparative Toxicogenomics Database (CTD) is a curated database that promotes understanding about the effects of environmental chemicals on human health. Biocurators at CTD manually curate chemical-gene interactions, chemical-disease relationships and gene-disease relationships from the literature. This strategy allows data to be integrated to construct chemical-gene-disease networks. CTD is unique in numerous respects: curation focuses on environmental chemicals; interactions are manually curated; interactions are constructed using controlled vocabularies and hierarchies; additional gene attributes (such as Gene Ontology, taxonomy and KEGG pathways) are integrated; data can be viewed from the perspective of a chemical, gene or disease; results and batch queries can be downloaded and saved; and most importantly, CTD acts as both a knowledgebase (by reporting data) and a discovery tool (by generating novel inferences). Over 116,000 interactions between 3900 chemicals and 13,300 genes have been curated from 270 species, and 5900 gene-disease and 2500 chemical-disease direct relationships have been captured. By integrating these data, 350,000 gene-disease relationships and 77,000 chemical-disease relationships can be inferred. This wealth of chemical-gene-disease information yields testable hypotheses for understanding the effects of environmental chemicals on human health. CTD is freely available at http://ctd.mdibl.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.