Summary |
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Variant origin |
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Variant description |
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Phenotypes |
View phenotypes and curated references for all genotypes (concatenated display).
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Expression |
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Notes |
Candidate Genes
The correlation between gene expression and dietary interaction was examined in a population of (BALB/cStCrlfC3H/Nctr x VY/WffC3Hf/Nctr-A(vy)/a)F1 animals. A/a and A/Avy animals were placed on a 70% (calorie restricted) or 100% (non-restricted) diet andliver mRNA levels were assessed for over 18,000 genes using DNA microarrays. Twenty-eight known genes showing statistically significant differential expression between the 70% and 100% calorie diets and A/a and A/Avy genotypes mapped near known diabesity QTLs. These genes may be considered further for 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 Strains. In female mice a QTL (Insq5) influencing Insulin levels in blood mapped to mouse Chromosome 17 and was associated with D17Mit1. |
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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 12/10/2024 MGI 6.24 |
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