ArticlePhysiological genomics2013
Rat Genome Database: a unique resource for rat, human, and mouse quantitative trait locus data.
Article in Physiological genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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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.
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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.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- 2015 Guidelines for Establishing Genetically Modified Rat Models for Cardiovascular Research.Journal of cardiovascular translational research · 2015Guideline
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- MicroRNA 27a Is a Key Modulator of Cholesterol Biosynthesis.Molecular and cellular biology · 2020Article
- Genome-wide map of proximity linkage to renin proximal promoter in rat.Physiological genomics · 2018Article
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- Efficient and rapid generation of large genomic variants in rats and mice using CRISMERE.Scientific reports · 2017Article
- Comprehensive coverage of cardiovascular disease data in the disease portals at the Rat Genome Database.Physiological genomics · 2016Article
- Modulation of unloading-induced bone loss in mice with altered ERK signaling.Mammalian genome : official journal of the International Mammalian Genome Society · 2016Article
- Development and characterization of a novel rat model of estrogen-induced mammary cancer.Endocrine-related cancer · 2015Article
- Genetic etiology of renal agenesis: fine mapping of Renag1 and identification of Kit as the candidate functional gene.PloS one · 2015Article
- Ept7 influences estrogen action in the pituitary gland and body weight of rats.Mammalian genome : official journal of the International Mammalian Genome Society · 2014Article
- Validation of six genetic determinants of susceptibility to estrogen-induced mammary cancer in the rat and assessment of their relevance to breast cancer risk in humans.G3 (Bethesda, Md.) · 2014Article
- The Candida Genome Database: the new homology information page highlights protein similarity and phylogeny.Nucleic acids research · 2014Article
- BioCreative-IV virtual issue.Database : the journal of biological databases and curation · 2014Article
- Commentary on Shimoyama et al. (2012): three ontologies to define phenotype measurement data.Frontiers in genetics · 2014Article
- Rat Strain Ontology: structured controlled vocabulary designed to facilitate access to strain data at RGD.Journal of biomedical semantics · 2013Article
Corrections and comments
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Authors and funding
16 authors at 1 institution in 1 country.
Funding
Abstract
The rat has been widely used as a disease model in a laboratory setting, resulting in an abundance of genetic and phenotype data from a wide variety of studies. These data can be found at the Rat Genome Database (RGD, http://rgd.mcw.edu/), which provides a platform for researchers interested in linking genomic variations to phenotypes. Quantitative trait loci (QTLs) form one of the earliest and core datasets, allowing researchers to identify loci harboring genes associated with disease. These QTLs are not only important for those using the rat to identify genes and regions associated with disease, but also for cross-organism analyses of syntenic regions on the mouse and the human genomes to identify potential regions for study in these organisms. Currently, RGD has data on >1,900 rat QTLs that include details about the methods and animals used to determine the respective QTL along with the genomic positions and markers that define the region. RGD also curates human QTLs (>1,900) and houses>4,000 mouse QTLs (imported from Mouse Genome Informatics). Multiple ontologies are used to standardize traits, phenotypes, diseases, and experimental methods to facilitate queries, analyses, and cross-organism comparisons. QTLs are visualized in tools such as GBrowse and GViewer, with additional tools for analysis of gene sets within QTL regions. The QTL data at RGD provide valuable information for the study of mapped phenotypes and identification of candidate genes for disease associations.
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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.