Literature DB >> 23881287

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

Rajni Nigam1, Stanley J F Laulederkind, G Thomas Hayman, Jennifer R Smith, Shur-Jen Wang, Timothy F Lowry, Victoria Petri, Jeff De Pons, Marek Tutaj, Weisong Liu, Pushkala Jayaraman, Diane H Munzenmaier, Elizabeth A Worthey, Melinda R Dwinell, Mary Shimoyama, Howard J Jacob.   

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.

Entities:  

Keywords:  QTL; Rat Genome Database; mapping

Mesh:

Substances:

Year:  2013        PMID: 23881287      PMCID: PMC3783816          DOI: 10.1152/physiolgenomics.00065.2013

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  15 in total

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Authors:  H J Jacob
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Authors:  John P Spence; Tiebing Liang; Lixiang Liu; Philip L Johnson; Tatiana Foroud; Lucinda G Carr; Anantha Shekhar
Journal:  Curr Drug Abuse Rev       Date:  2009-05

Review 3.  Progress and prospects in rat genetics: a community view.

Authors:  Timothy J Aitman; John K Critser; Edwin Cuppen; Anna Dominiczak; Xose M Fernandez-Suarez; Jonathan Flint; Dominique Gauguier; Aron M Geurts; Michael Gould; Peter C Harris; Rikard Holmdahl; Norbert Hubner; Zsuzsanna Izsvák; Howard J Jacob; Takashi Kuramoto; Anne E Kwitek; Anna Marrone; Tomoji Mashimo; Carol Moreno; John Mullins; Linda Mullins; Tomas Olsson; Michal Pravenec; Lela Riley; Kathrin Saar; Tadao Serikawa; James D Shull; Claude Szpirer; Simon N Twigger; Birger Voigt; Kim Worley
Journal:  Nat Genet       Date:  2008-05       Impact factor: 38.330

4.  Cosegregation of blood pressure with angiotensin converting enzyme and atrial natriuretic peptide receptor genes using Dahl salt-sensitive rats.

Authors:  Y Deng; J P Rapp
Journal:  Nat Genet       Date:  1992-07       Impact factor: 38.330

5.  Ontology searching and browsing at the Rat Genome Database.

Authors:  Stanley J F Laulederkind; Marek Tutaj; Mary Shimoyama; G Thomas Hayman; Timothy F Lowry; Rajni Nigam; Victoria Petri; Jennifer R Smith; Shur-Jen Wang; Jeff de Pons; Melinda R Dwinell; Howard J Jacob
Journal:  Database (Oxford)       Date:  2012-03-20       Impact factor: 3.451

6.  RGD: a comparative genomics platform.

Authors:  Mary Shimoyama; Jennifer R Smith; Tom Hayman; Stan Laulederkind; Tim Lowry; Rajni Nigam; Victoria Petri; Shur-Jen Wang; Melinda Dwinell; Howard Jacob
Journal:  Hum Genomics       Date:  2011-01       Impact factor: 4.639

7.  Three ontologies to define phenotype measurement data.

Authors:  Mary Shimoyama; Rajni Nigam; Leslie Sanders McIntosh; Rakesh Nagarajan; Treva Rice; D C Rao; Melinda R Dwinell
Journal:  Front Genet       Date:  2012-05-28       Impact factor: 4.599

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9.  The Mammalian Phenotype Ontology as a tool for annotating, analyzing and comparing phenotypic information.

Authors:  Cynthia L Smith; Carroll-Ann W Goldsmith; Janan T Eppig
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10.  The long path from QTL to gene.

Authors:  Norman R Drinkwater; Michael N Gould
Journal:  PLoS Genet       Date:  2012-09-20       Impact factor: 5.917

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Authors:  Michael J Flister; Jeremy W Prokop; Jozef Lazar; Mary Shimoyama; Melinda Dwinell; Aron Geurts
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4.  Genome-wide map of proximity linkage to renin proximal promoter in rat.

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6.  Comprehensive coverage of cardiovascular disease data in the disease portals at the Rat Genome Database.

Authors:  Shur-Jen Wang; Stanley J F Laulederkind; G Thomas Hayman; Victoria Petri; Jennifer R Smith; Marek Tutaj; Rajni Nigam; Melinda R Dwinell; Mary Shimoyama
Journal:  Physiol Genomics       Date:  2016-06-10       Impact factor: 3.107

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10.  Rat Strain Ontology: structured controlled vocabulary designed to facilitate access to strain data at RGD.

Authors:  Rajni Nigam; Diane H Munzenmaier; Elizabeth A Worthey; Melinda R Dwinell; Mary Shimoyama; Howard J Jacob
Journal:  J Biomed Semantics       Date:  2013-11-22
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