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High-resolution genetic mapping using the Mouse Diversity outbred population.

Karen L Svenson1, Daniel M Gatti, William Valdar

  • 1The Jackson Laboratory, Bar Harbor, Maine 04609, USA. karen.svenson@jax.org

Genetics
|February 21, 2012
PubMed
Summary

The JAX Diversity Outbred mouse population offers a unique resource for genetic mapping. This population enables high-resolution mapping of complex traits, identifying specific genes like Foxo1 for serum cholesterol.

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Area of Science:

  • Genetics
  • Genomics
  • Animal Models

Background:

  • The JAX Diversity Outbred (JDO) mouse population is a novel resource derived from the Collaborative Cross.
  • It features high heterozygosity and unique allele combinations in each animal, creating significant phenotypic diversity.
  • This distinct population architecture differs from founder strains, offering new research possibilities.

Purpose of the Study:

  • To introduce the JAX Diversity Outbred mouse population as a powerful resource for genetic research.
  • To describe analytical methods for genetic mapping within this population.
  • To demonstrate the high mapping resolution achievable with the JDO population.

Main Methods:

  • Utilized randomized outcrossing to maintain the JAX Diversity Outbred population.

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  • Developed and applied analytical methods for genetic mapping in this outbred resource.
  • Performed genetic mapping of a serum cholesterol trait to pinpoint candidate genes.
  • Main Results:

    • Successfully mapped a serum cholesterol trait to a 2-Mb region on chromosome 3, containing only 11 genes.
    • Demonstrated the high mapping resolution and power of the JAX Diversity Outbred population.
    • Reduced candidate polymorphisms to seven SNPs, with five located upstream of the Foxo1 gene.

    Conclusions:

    • The JAX Diversity Outbred population is a valuable resource for genetic mapping and complex trait analysis.
    • The population architecture facilitates high-resolution mapping, enabling precise identification of genetic loci.
    • This resource aids in discovering candidate genes, such as Foxo1, involved in specific phenotypic variations.