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
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:33858Loci affecting obesity were mapped in a (129T2/SvEmsJ x EL/Suz)F2 intercross population using QTL analysis and DNA pooling strategy. Parental strain 129T2/SvEmsJ exhibits a lean phenotype whereas parental strain EL/Suz is prone to obesity. Significant linkage to adiposity index (LOD=8.0), percent inguinal fat (LOD=6.1), percent gonadal fat (LOD=8.4), percent retroperitoneal fat (LOD=7.9), body mass index (LOD=5.1), and 16 week body weight (LOD=4.5) was detected at a locus spanning 21 cM - 49 cM on mouse Chromosome 7. This locus was named Obq1 with peak linkage near D7Mit248. EL/Suz-derived alleles confer increased adiposity in a dominant fashion at Obq1. A second locus, Obq2, was detected at 12 cM - 15 cM on mouse Chromosome 1. Obq2 is linked to adiposity index (LOD=4.0) at D1Mit231. 129T2/SvEmsJ-derived alleles confer increased adiposity in a dominant fashion at Obq2. |
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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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