Literature DB >> 20013224

Sequencing of the rat genome and databases.

Elizabeth A Worthey1, Alexander J Stoddard, Howard J Jacob.   

Abstract

The rat is an important system for modeling human disease. Four years ago, the rich 150-year history of rat research was transformed by the sequencing and annotation of the rat genome, ushering in an era of exceptional opportunity for identifying genes and pathways underlying disease phenotypes. With the genome sequence in place, there is the prospect of not only linking the extensive literature of mechanistic and pharmacological studies in the rat to its genome, but by using comparative genomics to other organisms as well. Genome-wide association studies (GWAS) in human populations have recently provided a direct approach for finding robust genetic associations in common diseases, but identifying the precise genes and their mechanisms of action remains challenging.The explosion of genomic tools and sequence over the last decade has created a wealth of data. Along with the data has arisen a need to manage it and to make it usable to scientists with a wide-range of research interests. This chapter is designed to overview the existing sequence and its utility, as well as provide a glimpse of some of the databases and bioinformatic tools available to the investigator.

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Year:  2010        PMID: 20013224     DOI: 10.1007/978-1-60327-389-3_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

Review 1.  The emerging role for rat models in gene discovery.

Authors:  Melinda R Dwinell; Jozef Lazar; Aron M Geurts
Journal:  Mamm Genome       Date:  2011-07-06       Impact factor: 2.957

2.  Integrated curation and data mining for disease and phenotype models at the Rat Genome Database.

Authors:  Shur-Jen Wang; Stanley J F Laulederkind; Yiqing Zhao; G Thomas Hayman; Jennifer R Smith; Monika Tutaj; Jyothi Thota; Marek A Tutaj; Matthew J Hoffman; Elizabeth R Bolton; Jeffrey De Pons; Melinda R Dwinell; Mary Shimoyama
Journal:  Database (Oxford)       Date:  2019-01-01       Impact factor: 3.451

3.  Whole-genome sequences of DA and F344 rats with different susceptibilities to arthritis, autoimmunity, inflammation and cancer.

Authors:  Xiaosen Guo; Max Brenner; Xuemei Zhang; Teresina Laragione; Shuaishuai Tai; Yanhong Li; Junjie Bu; Ye Yin; Anish A Shah; Kevin Kwan; Yingrui Li; Wang Jun; Pércio S Gulko
Journal:  Genetics       Date:  2013-05-20       Impact factor: 4.562

Review 4.  The utility of Apc-mutant rats in modeling human colon cancer.

Authors:  Amy A Irving; Kazuto Yoshimi; Marcia L Hart; Taybor Parker; Linda Clipson; Madeline R Ford; Takashi Kuramoto; William F Dove; James M Amos-Landgraf
Journal:  Dis Model Mech       Date:  2014-10-02       Impact factor: 5.758

  4 in total

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