Summary |
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Variant origin |
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Variant description |
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Notes |
Candidate Genes
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. Mapping and Phenotype information for this QTL, its variants and associated markersJ:64138The SMXA (SM/J x A/J) RI line was informative in mapping suggestive QTLs for Body Weight, Insulin, Triglyceride and Phospholipid in selected RI Strians. In female mice a QTL (Trigq1) influencing Triglyceride levels in blood mapped to mouse Chromosome 4 and was associated with D4Mit2. |
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References |
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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 11/12/2024 MGI 6.24 |
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