Literature DB >> 15919810

Fine-mapping gene-by-diet interactions on chromosome 13 in a LG/J x SM/J murine model of obesity.

Thomas H Ehrich1, Tomas Hrbek, Jane P Kenney-Hunt, L Susan Pletscher, Bing Wang, Clay F Semenkovich, James M Cheverud.   

Abstract

Obesity is one of the most serious threats to human health today. Although there is general agreement that environmental factors such as diet have largely caused the current obesity pandemic, the environmental changes have not affected all individuals equally. To model gene-by-environment interactions in a mouse model system, our group has generated an F(16) advanced intercross line (AIL) from the SM/J and LG/J inbred strains. Half of our sample was fed a low-fat (15% energy from fat) diet while the other half was fed a high-fat (43% energy from fat) diet. The sample was assayed for a variety of obesity- and diabetes-related phenotypes such as growth rate, response to glucose challenge, organ and fat pad weights, and serum lipids and insulin. An examination in the F(16) sample of eight adiposity quantitative trait loci previously identified in an F(2) intercross of SM/J and LG/J mouse strains reveals locus-by-diet interactions for all previously mapped loci. Adip7, located on proximal chromosome 13, demonstrated the most interactions and therefore was selected for fine mapping with microsatellite markers. Three phenotypic traits, liver weight in male animals, serum insulin in male animals, and reproductive fat pad weight, show locus-by-diet interactions in the 127-kb region between markers D13Mit1 and D13Mit302. The phosphofructokinase (PFK) C (Pfkp) and the pitrilysin metalloprotease 1 (Pitrm1) genes are compelling positional candidate genes in this region that show coding sequence differences between the parental strains in functional domains.

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Year:  2005        PMID: 15919810     DOI: 10.2337/diabetes.54.6.1863

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


  31 in total

1.  Genetic characterization of a new set of recombinant inbred lines (LGXSM) formed from the inter-cross of SM/J and LG/J inbred mouse strains.

Authors:  Tomas Hrbek; Reinaldo Alves de Brito; B Wang; L Susan Pletscher; James M Cheverud
Journal:  Mamm Genome       Date:  2006-05       Impact factor: 2.957

Review 2.  QTL mapping in outbred populations: successes and challenges.

Authors:  Leah C Solberg Woods
Journal:  Physiol Genomics       Date:  2013-12-10       Impact factor: 3.107

3.  Integrative metabolome and transcriptome profiling reveals discordant energetic stress between mouse strains with differential sensitivity to acrolein-induced acute lung injury.

Authors:  James P Fabisiak; Mario Medvedovic; Danny C Alexander; Jonathan E McDunn; Vincent J Concel; Kiflai Bein; An Soo Jang; Annerose Berndt; Louis J Vuga; Kelly A Brant; Hannah Pope-Varsalona; Richard A Dopico; Koustav Ganguly; Swapna Upadhyay; Qian Li; Zhen Hu; Naftali Kaminski; George D Leikauf
Journal:  Mol Nutr Food Res       Date:  2011-08-08       Impact factor: 5.914

4.  Milk ejection in mice LG/J x SM/J.

Authors:  Carolina P Góes; Bruno Sauce; Andrea C Peripato
Journal:  Mamm Genome       Date:  2012-10-07       Impact factor: 2.957

5.  Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice.

Authors:  Larry J Leamy; Scott A Kelly; Kunjie Hua; Daniel Pomp
Journal:  Physiol Genomics       Date:  2012-10-09       Impact factor: 3.107

Review 6.  Fine-mapping QTLs in advanced intercross lines and other outbred populations.

Authors:  Natalia M Gonzales; Abraham A Palmer
Journal:  Mamm Genome       Date:  2014-06-07       Impact factor: 2.957

7.  Genetic and environmental effects on complex traits in mice.

Authors:  William Valdar; Leah C Solberg; Dominique Gauguier; William O Cookson; J Nicholas P Rawlins; Richard Mott; Jonathan Flint
Journal:  Genetics       Date:  2006-08-03       Impact factor: 4.562

8.  Fine-mapping alleles for body weight in LG/J × SM/J F₂ and F(34) advanced intercross lines.

Authors:  Clarissa C Parker; Riyan Cheng; Greta Sokoloff; Jackie E Lim; Andrew D Skol; Mark Abney; Abraham A Palmer
Journal:  Mamm Genome       Date:  2011-07-15       Impact factor: 2.957

9.  Quantitative trait loci for bone mineral density and femoral morphology in an advanced intercross population of mice.

Authors:  Larry J Leamy; Scott A Kelly; Kunjie Hua; Charles R Farber; Daniel Pomp
Journal:  Bone       Date:  2013-02-26       Impact factor: 4.398

10.  Pleiotropic patterns of quantitative trait loci for 70 murine skeletal traits.

Authors:  Jane P Kenney-Hunt; Bing Wang; Elizabeth A Norgard; Gloria Fawcett; Doug Falk; L Susan Pletscher; Joseph P Jarvis; Charles Roseman; Jason Wolf; James M Cheverud
Journal:  Genetics       Date:  2008-04       Impact factor: 4.562

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