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:55285TSOD male mice exhibit both obesity and diabetes enabling that strain to be used in a cross with BALB/cAJcl to elucidate the genetic basis for the phenotype. (BALB/cAJcl x TSOD)F1s and (TSOD x BALB/cAJcl)F1s were intercrossed to provide F2 populations for genotyping using SSLP markers. A major gene on mouse Chromosome 1 effecting body weight (marker Nidd6) was significantly associated with a region close to markers D1Mit102 and D1Mit33 with a LOD score of 4.65. |
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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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