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Mapping Data
Experiment
  • Experiment
    TEXT-QTL-Candidate Genes
  • Chromosome
    10
  • 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:3582719
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 Bgeq8 (57 cM) on mouse Chromosome 10 as identified by ExQuest are Rdh7 and Hsd17b9. Hsd17b9 exhibits 9.5-fold increased expression in the liver of Tally Ho compared to C57BL/6J animals. For QTLs Insq9 (44 cM) and Igfbp3q2 (46 cM), potential candidate genes Ass1 (20 cM Chr 2)), Ftcd, Col18a1 (41.3 cM), Itgb2 (41.5 cM), Agpat3 (41.8 cM), Ndufs7, Oaz1 (43 cM), Pah (47 cM), Igf1 (48 cM), Nr1h4 (50 cM), and Kitl (57 cM) were identified.

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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
12/10/2024
MGI 6.24
The Jackson Laboratory