de.mpg.escidoc.pubman.appbase.FacesBean
English
 
Help Guide Disclaimer Contact us Login
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

SNP and haplotype mapping for genetic analysis in the rat

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons50090

Beck,  Alfred
Computing (Head: Donald Buczek/Peter Marquardt), Scientific Service (Head: Christoph Krukenkamp), Max Planck Institute for Molecular Genetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons50397

Kube,  Michael
High Throughput Technologies, Max Planck Institute for Molecular Genetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons50399

Kuhl,  Heiner
Sequencing (Head: Bernd Timmermann), Scientific Service (Head: Manuela B. Urban), Max Planck Institute for Molecular Genetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons50488

Reinhardt,  Richard
High Throughput Technologies, Max Planck Institute for Molecular Genetics, Max Planck Society;

Locator
There are no locators available
Fulltext (public)
There are no public fulltexts available
Supplementary Material (public)
There is no public supplementary material available
Citation

Saar, K., Beck, A., Bihoreau, M., Birney, E., Brocklebank D, D., Chen, Y., et al. (2008). SNP and haplotype mapping for genetic analysis in the rat. Nature Genetics, 40(5), 560-566. doi:10.1038/ng.124.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-8007-E
Abstract
The laboratory rat is one of the most extensively studied model organisms. Inbred laboratory rat strains originated from limited Rattus norvegicus founder populations, and the inherited genetic variation provides an excellent resource for the correlation of genotype to phenotype. Here, we report a survey of genetic variation based on almost 3 million newly identified SNPs. We obtained accurate and complete genotypes for a subset of 20,238 SNPs across 167 distinct inbred rat strains, two rat recombinant inbred panels and an F2 intercross. Using 81% of these SNPs, we constructed high-density genetic maps, creating a large dataset of fully characterized SNPs for disease gene mapping. Our data characterize the population structure and illustrate the degree of linkage disequilibrium. We provide a detailed SNP map and demonstrate its utility for mapping of quantitative trait loci. This community resource is openly available and augments the genetic tools for this workhorse of physiological studies.