Literature DB >> 10602985

Mapping of obesity QTLs in a cross between mouse lines divergently selected on fat content.

S Horvat1, L Bünger, V M Falconer, P Mackay, A Law, G Bulfield, P D Keightley.   

Abstract

A genome-wide quantitative trait locus (QTL) analysis was performed in a polygenic obesity mouse model resulting from a long-term selection experiment. The parental lines were outbred lines divergently selected for 53 generations for high-fat (fat, F line) or low-fat (lean, L line) percentage (fat%) that differed fivefold in fat% at 14 weeks of age. An F2 population of 436 mice was used for the QTL analysis with 71 markers distributed across the genome. The analysis revealed significant QTLs Fob1 (for F-line obesity QTL 1), Fob2, Fob3, and Fob4, on Chromosomes (Chrs) 2, 12, 15, and X, respectively. None of these QTLs map to regions of known single gene obesity mutations (Lepob, Leprdb, Cpefat, Ay, tub), though they map to regions of previously described obesity QTLs and candidate genes. The effects of Fob1, Fob3, Fob4 were additive, and that of Fob2 was dominant. Fob2 also showed a significant female-specific effect. Fob1, Fob2, Fob3, and Fob4 explained 4.9%, 19.5%, 14.4%, and 7.3% of the F2 phenotypic variance for fat%, respectively. This study identified four loci that contributed to the response to divergent selection and control a significant proportion of the difference in obesity between the F and L lines.

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Year:  2000        PMID: 10602985     DOI: 10.1007/s003350010002

Source DB:  PubMed          Journal:  Mamm Genome        ISSN: 0938-8990            Impact factor:   2.957


  27 in total

1.  A genomewide linkage scan for quantitative-trait loci for obesity phenotypes.

Authors:  Hong-Wen Deng; Hongyi Deng; Yong-Jun Liu; Yao-Zhong Liu; Fu-Hua Xu; Hui Shen; Theresa Conway; Jin-Long Li; Qing-Yang Huang; K M Davies; Robert R Recker
Journal:  Am J Hum Genet       Date:  2002-03-28       Impact factor: 11.025

2.  A large-sample QTL study in mice: II. Body composition.

Authors:  Joao L Rocha; Eugene J Eisen; L Dale Van Vleck; Daniel Pomp
Journal:  Mamm Genome       Date:  2004-02       Impact factor: 2.957

3.  Genomic mapping of direct and correlated responses to long-term selection for rapid growth rate in mice.

Authors:  Mark F Allan; Eugene J Eisen; Daniel Pomp
Journal:  Genetics       Date:  2005-06-08       Impact factor: 4.562

4.  Rats genetically selected for low and high aerobic capacity exhibit altered soleus muscle myofilament functions.

Authors:  B J Biesiadecki; M A Brotto; L S Brotto; L G Koch; S L Britton; T M Nosek; J-P Jin
Journal:  Am J Physiol Cell Physiol       Date:  2019-12-25       Impact factor: 4.249

5.  Chromosome 2 locus Nidd5 has a potent effect on adiposity in the TSOD mouse.

Authors:  Shin Mizutani; Hiroshi Gomi; Isao Hirayama; Tetsuro Izumi
Journal:  Mamm Genome       Date:  2006-05       Impact factor: 2.957

6.  Congenic and bioinformatics analyses resolved a major-effect Fob3b QTL on mouse Chr 15 into two closely linked loci.

Authors:  Zala Prevorsek; Gregor Gorjanc; Beverly Paigen; Simon Horvat
Journal:  Mamm Genome       Date:  2010-03-05       Impact factor: 2.957

7.  Mapping the epistatic network underlying murine reproductive fatpad variation.

Authors:  Joseph P Jarvis; James M Cheverud
Journal:  Genetics       Date:  2010-11-29       Impact factor: 4.562

8.  Genotype X diet interactions in mice predisposed to mammary cancer. I. Body weight and fat.

Authors:  Ryan R Gordon; Kent W Hunter; Peter Sørensen; Daniel Pomp
Journal:  Mamm Genome       Date:  2008-02-20       Impact factor: 2.957

9.  Loci on chromosomes 2, 4, 9, and 16 for body weight, body length, and adiposity identified in a genome scan of an F2 intercross between the 129P3/J and C57BL/6ByJ mouse strains.

Authors:  Danielle R Reed; Xia Li; Amanda H McDaniel; Ke Lu; Shanru Li; Michael G Tordoff; R Arlen Price; Alexander A Bachmanov
Journal:  Mamm Genome       Date:  2003-05       Impact factor: 2.957

10.  DEPTOR cell-autonomously promotes adipogenesis, and its expression is associated with obesity.

Authors:  Mathieu Laplante; Simon Horvat; William T Festuccia; Kivanç Birsoy; Zala Prevorsek; Alejo Efeyan; David M Sabatini
Journal:  Cell Metab       Date:  2012-08-08       Impact factor: 27.287

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