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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:32208Quantitative trait loci (QTLs) effecting age specific body growth rates in mice were mapped using 535 F2 intercross mice from a (LG/J x SM/J)F1 cross. LG/J mice exhibit a large size at 60 days of age whereas SM/J exhibit a Small size. QTLs on 16 of 19 autosomes effective age specific growth was detected in a genome wide scan using microsatellite markers. QTL marker Bgeq3 was associated with early growth rate and mapped to mouse Chromosome 4 near D4Mit16. A QTL marker Bglq4 was associated with late growthnear D4Mit17. J:60662Quantitative trait loci (QTLs) effecting age specific body growth rates in mice were mapped in a previous experiment using 535 F2 intercross mice from a (LG/J x SM/J)F1 cross (See J:32208). Here an additional 510 F2 mice were analyzed. LG/J mice exhibit a large size at 60 days of age whereas SM/J exhibit a small size. QTL markers Bg1q4 was and Bgeq3 were reaffirmed as mapping to mouse Chromosome 4. |
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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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