Summary |
|
||||||||||
Variant origin |
|
||||||||||
Variant description |
|
||||||||||
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:66744In NZO mice susceptibility to obesity is due in part to leptin resistance conferred by a variant Lepr allele, however this same alleic form is found in non-obese NZW mice suggesting there may be NZO genes that interact with Lepr to cause obesity. In a genome wide scan NZO x (SJL X NZO) F1 mice were informative in mapping two QTLs to mouse Chromosomes 5 and 19: Nob1 mapped with D5Mit392 whereas Nob2 mapped with D19Mit91. |
||||||||||
References |
|
Mouse Genome Database (MGD), Gene Expression Database (GXD), Mouse Models of Human Cancer database (MMHCdb) (formerly Mouse Tumor Biology (MTB)), Gene Ontology (GO) |
||
Citing These Resources Funding Information Warranty Disclaimer, Privacy Notice, Licensing, & Copyright Send questions and comments to User Support. |
last database update 11/12/2024 MGI 6.24 |
|
|