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Variant origin |
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Variant description |
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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:55483Authors used a composite base population from four outbred strains (NIH, ICR, CF-1 and CFW) to select for lines showing a difference in heat loss. After 15 generations of selection, the MH line showed higher heat loss, consumed more feed, were leaner and more active than the ML line of mice. C57BL/6J was chosen as the inbred line to create a resource population from a cross between a selection line and an inbred line. Average heat loss and feed intake of the C57BL/6J mice were similar to that of mice from the ML line but their body composition was similar to the MH line. To identify QTLs that are responsible for heat loss and other phenotypes related to energy balance, a complete genome wide scan was conducted in a (MH x C57BL/6J)F2 intercross (n = 560). Regions harboring QTL with the greatest effects were then evaluated in a (MH x ML)F2 intercross (n = 560). A QTL influencing body weight at 6 weeks, Wt6q1 (LOD = 4.02, 3.3% of residual variance explained) was identified with a peak at 27 cM on Chromosome 1 in the (MH x C57BL/6J)F2 intercross. The MH allele was responsible for increased body weight at 6 weeks for this QTL. Wt6q1 was confirmed in the (MH x ML)F2 intercross with a LOD score of 3.44, p<0.0001. |
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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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