Literature DB >> 11473059

Susceptibility and negative epistatic loci contributing to type 2 diabetes and related phenotypes in a KK/Ta mouse model.

T Shike1, S Hirose, M Kobayashi, K Funabiki, T Shirai, Y Tomino.   

Abstract

The KK/Ta mouse strain serves as a suitable polygenic model for human type 2 diabetes. Using 93 microsatellite markers in 208 KK/Ta x (BALB/c x KK/Ta)F1 male backcross mice, we carried out a genome-wide linkage analysis of KK/Ta alleles contributing to type 2 diabetes and related phenotypes, such as obesity and dyslipidemia. We identified three major chromosomal intervals significantly contributing to impaired glucose metabolism: one quantitative trait locus for impaired glucose tolerance on chromosome 6 and two loci for fasting blood glucose levels on chromosomes 12 and 15. The latter two loci appeared to act in a complementary fashion. Two intervals showed significant linkages for serum triglyceride levels, one on chromosome 4 and the other on chromosome 8. The KK allele on chromosome 8 acts to promote serum triglyceride levels, whereas the KK allele on chromosome 4 acts to suppress this effect in a recessive fashion. In addition, it is suggested that the chromosome 4 locus also acts to downregulate body weight and that the chromosome 8 locus acts to upregulate serum insulin levels. Our data clearly showed that each disease phenotype of type 2 diabetes and related disorders in KK/Ta mice is under the control of separate genetic mechanisms. However, there appear to be common genes contributing to different disease phenotypes. There are potentially important candidate genes that may be relevant to the disease.

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Year:  2001        PMID: 11473059     DOI: 10.2337/diabetes.50.8.1943

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  13 in total

1.  Genetic analysis of atherosclerosis and glucose homeostasis in an intercross between C57BL/6 and BALB/cJ apolipoprotein E-deficient mice.

Authors:  Zhimin Zhang; Jessica S Rowlan; Qian Wang; Weibin Shi
Journal:  Circ Cardiovasc Genet       Date:  2012-01-31

2.  Candidate genes for plasma triglyceride, FFA, and glucose revealed from an intercross between inbred mouse strains NZB/B1NJ and NZW/LacJ.

Authors:  Zhiguang Su; Shirng-wern Tsaih; Jin Szatkiewicz; Yuan Shen; Beverly Paigen
Journal:  J Lipid Res       Date:  2008-03-24       Impact factor: 5.922

3.  Quantitative trait locus analysis of atherosclerosis in an intercross between C57BL/6 and C3H mice carrying the mutant apolipoprotein E gene.

Authors:  Zhiguang Su; Yuhua Li; Jessica C James; Marcia McDuffie; Alan H Matsumoto; Gregory A Helm; James L Weber; Aldons J Lusis; Weibin Shi
Journal:  Genetics       Date:  2005-12-30       Impact factor: 4.562

4.  Major quantitative trait locus on chromosome 2 for glucose tolerance in diabetic SMXA-5 mouse established from non-diabetic SM/J and A/J strains.

Authors:  M Kobayashi; F Io; T Kawai; M Kumazawa; H Ikegami; M Nishimura; T Ohno; F Horio
Journal:  Diabetologia       Date:  2006-01-31       Impact factor: 10.122

5.  Haplotype analysis in multiple crosses to identify a QTL gene.

Authors:  Xiaosong Wang; Ron Korstanje; David Higgins; Beverly Paigen
Journal:  Genome Res       Date:  2004-08-12       Impact factor: 9.043

6.  Differences in DBA/1J and DBA/2J reveal lipid QTL genes.

Authors:  Ioannis M Stylianou; Sarah R Langley; Kenneth Walsh; Yuan Chen; Céline Revenu; Beverly Paigen
Journal:  J Lipid Res       Date:  2008-05-23       Impact factor: 5.922

7.  Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice.

Authors:  Taryn P Stewart; Hyoung Yon Kim; Arnold M Saxton; Jung Han Kim
Journal:  BMC Genomics       Date:  2010-12-19       Impact factor: 3.969

Review 8.  Biology of obesity: lessons from animal models of obesity.

Authors:  Keizo Kanasaki; Daisuke Koya
Journal:  J Biomed Biotechnol       Date:  2011-01-05

Review 9.  Genetics of murine type 2 diabetes and comorbidities.

Authors:  Iqbal M Lone; Fuad A Iraqi
Journal:  Mamm Genome       Date:  2022-02-03       Impact factor: 3.224

10.  New quantitative trait loci for carotid atherosclerosis identified in an intercross derived from apolipoprotein E-deficient mouse strains.

Authors:  Jessica S Rowlan; Zhimin Zhang; Qian Wang; Yan Fang; Weibin Shi
Journal:  Physiol Genomics       Date:  2013-03-05       Impact factor: 3.107

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