Evidence map›Paper›PMID 30247620›Full record

ArticleNucleic acids research2019

The Comparative Toxicogenomics Database: update 2019.

Allan Peter Davis, Cynthia J Grondin, Robin J Johnson, Daniela Sciaky, Roy McMorran, Jolene Wiegers, Thomas C Wiegers, Carolyn J Mattingly

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 440 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
440citing papers in PubMed, 2 pooled it
58.8field-weighted citation impact, top 1% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

440 citing papers in PubMed, 2 syntheses or guidelines pooled it, 1,048 citations in OpenAlex.

  1. Knowledge-Driven Approaches to Create the MTox700+ Metabolite Panel for Predicting Toxicity.Toxicological sciences : an official journal of the Society of Toxicology · 2022
    Pooled it
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380 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Allan Peter DavisDepartment of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA.
Cynthia J GrondinDepartment of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA.
Robin J JohnsonDepartment of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA.
Daniela SciakyDepartment of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA.
Roy McMorranDepartment of Bioinformatics, The Mount Desert Island Biological Laboratory, Salisbury Cove, ME 04672, USA.
Jolene WiegersDepartment of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA.
Thomas C WiegersDepartment of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA.
Carolyn J MattinglyDepartment of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA.
North Carolina State University · USMount Desert Island Biological Laboratory · US

Funding

Translational Research Support CoreP30ES025128 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Sue Fenton · 2015 to 2026
$18.3M
The Comparative Toxicogenomics Database (CTD)R01ES014065 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI DAVIS, ALLAN PETER, MATTINGLY, CAROLYN J. · 2006 to 2021
$10.5M
Advancing mechanism-based studies with cross-species chemical-phenotype dataR01ES023788 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MATTINGLY, CAROLYN J. · 2015 to 2019
$1.6M
NIEHS NIH HHS P30 ES025128NIEHS NIH HHS R01 ES014065NIEHS NIH HHS R01 ES023788
6 · The paper itself

Abstract

The Comparative Toxicogenomics Database (CTD; http://ctdbase.org/) is a premier public resource for literature-based, manually curated associations between chemicals, gene products, phenotypes, diseases, and environmental exposures. In this biennial update, we present our new chemical-phenotype module that codes chemical-induced effects on phenotypes, curated using controlled vocabularies for chemicals, phenotypes, taxa, and anatomical descriptors; this module provides unique opportunities to explore cellular and system-level phenotypes of the pre-disease state and allows users to construct predictive adverse outcome pathways (linking chemical-gene molecular initiating events with phenotypic key events, diseases, and population-level health outcomes). We also report a 46% increase in CTD manually curated content, which when integrated with other datasets yields more than 38 million toxicogenomic relationships. We describe new querying and display features for our enhanced chemical-exposure science module, providing greater scope of content and utility. As well, we discuss an updated MEDIC disease vocabulary with over 1700 new terms and accession identifiers. To accommodate these increases in data content and functionality, CTD has upgraded its computational infrastructure. These updates continue to improve CTD and help inform new testable hypotheses about the etiology and mechanisms underlying environmentally influenced diseases.

Indexed as

Databases, PharmaceuticalToxicogeneticsDiseaseEnvironmental ExposureHumansPhenotypeVocabulary, Controlled

Identifiers

PMID30247620
PMCPMC6323936
OpenAlexW2916047525

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.