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Mapping Data
Experiment
  • Experiment
    TEXT-QTL-Candidate Genes
  • Chromosome
    17
  • Reference
    J:99477 Brown AC, et al., Searching QTL by gene expression: analysis of diabesity. BMC Genet. 2005 Mar 10;6(1):12
  • ID
    MGI:3582720
Notes
  • Experiment
    Authors used novel data mining tool ExQuest to identify novel candidate genes for existing diabesity QTLs. Next, candidate gene expression in the liver, adipose, and pancreas of diabesity-prone Tally Ho mice and diabesity-resistant C57BL/6J mice was assessed by quantitative PCR analysis. Several potential candidate genes, some with no previous association to diabesity QTLs, were identified. Since QTL intervals may be large and could contain hundreds or thousands of potential candidate genes, this method allows researchers to focus on those with strong potential as well as identify novel candidate genes.

    Potential candidate genes for Hdl4 (32.3 cM) on mouse Chromosome 17 as identified by ExQuest are Gnmt, Lrg1, and Sepx1 (10 cM). For QTL Insq5 (56.7 cM), potential candidate gene Abcg5 (54.5 cM) was identified. For QTL Obq4 (4 cM) and Wta4 (17 cM), potential candidate genes Plg (7.3 cM), Acat2 (7.55 cM), Acat3 (7.55 cM), Hagh (11 cM), Igfals, Decr2, Clps (17.1 cM), Tff1 (17 cM), Tff2 (17 cM), Tff3 (17 cM), and Apom were identified. Tff3 exhibits almost undetectable levels of transcription in the liver of Tally Ho animals compared C57BL/6J.

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Mouse Genome Database (MGD), Gene Expression Database (GXD), Mouse Models of Human Cancer database (MMHCdb) (formerly Mouse Tumor Biology (MTB)), Gene Ontology (GO)
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last database update
04/23/2024
MGI 6.23
The Jackson Laboratory