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Rat Genome Database: a unique resource for rat, human, and mouse quantitative trait locus data. Physiol Genomics 2013 Sep 16;45(18):809-16 PMID: 23881287 PMCID: PMC3783816

Pubmed ID

23881287

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.

Author List

Nigam R, Laulederkind SJ, Hayman GT, Smith JR, Wang SJ, Lowry TF, Petri V, De Pons J, Tutaj M, Liu W, Jayaraman P, Munzenmaier DH, Worthey EA, Dwinell MR, Shimoyama M, Jacob HJ

Authors

Melinda R. Dwinell PhD Center Associate Director, Associate Professor in the Physiology department at Medical College of Wisconsin
Mary E. Shimoyama PhD Associate Professor in the Biomedical Engineering department at Medical College of Wisconsin




Scopus

2-s2.0-84884191657   16 Citations

MESH terms used to index this publication - Major topics in bold

Access to Information
Animals
Databases, Genetic
Genetic Markers
Genome
Humans
Internet
Mice
Phenotype
Quantitative Trait Loci
Rats
jenkins-FCD Prod-297 dff1a717c492f00bf6291286365f1f4fe95208f1