Back to Search Start Over

Rat Genome Database: a unique resource for rat, human, and mouse quantitative trait locus data

Authors :
Weisong Liu
Jennifer R. Smith
Marek Tutaj
Elizabeth A. Worthey
Timothy F. Lowry
Stanley J. F. Laulederkind
Howard J. Jacob
Pushkala Jayaraman
Victoria Petri
Melinda R. Dwinell
Mary Shimoyama
Shur-Jen Wang
Diane H. Munzenmaier
G. Thomas Hayman
Rajni Nigam
Jeff De Pons
Source :
Physiological Genomics. 45:809-816
Publication Year :
2013
Publisher :
American Physiological Society, 2013.

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.

Details

ISSN :
15312267 and 10948341
Volume :
45
Database :
OpenAIRE
Journal :
Physiological Genomics
Accession number :
edsair.doi.dedup.....8614c3f25ffe84e94b3c95caa8d2fbff
Full Text :
https://doi.org/10.1152/physiolgenomics.00065.2013