Literature DB >> 15166164

Characterization of epistasis influencing complex spontaneous obesity in the BSB model.

Nengjun Yi1, Adam Diament, Sally Chiu, Kyoungmi Kim, David B Allison, Janis S Fisler, Craig H Warden.   

Abstract

There is growing awareness that complex interactions among multiple genes and environmental factors play an important role in controlling obesity traits. The BSB mouse, which is produced by the backcross of (lean C57BL/6J x lean Mus spretus) x C57BL/6J, provides an excellent model of epistatic obesity. To evaluate potential epistatic interactions among six chromosomal regions previously determined to influence obesity phenotypes, we performed novel Bayesian analyses on the basis of both epistatic and nonepistatic models for four obesity traits: percentage of body fat, adiposity index, total fat mass, and body weight, and also for plasma total cholesterol. The epistatic analysis detected at least one more QTL than the nonepistatic analysis did for all obesity traits. These obesity traits were variously influenced by QTL on chromosomes 2, 7, 12, 15, and 16. Interaction between genes on chromosomes 2 and 12 was present for all obesity traits, accounting for 3-4.8% of the phenotypic variation. Chromosome 12 was found to have weak main effects on all obesity traits. Several different epistatic interactions were also detected for percentage of body fat, adiposity index, and total fat mass. Chromosomes 6 and 12 have not only main effects but also strong epistatic effects on plasma total cholesterol. Our results emphasize the importance of modeling epistasis for discovery of obesity genes.

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Year:  2004        PMID: 15166164      PMCID: PMC1470871          DOI: 10.1534/genetics.167.1.399

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  22 in total

1.  Effects of genetic background on thermoregulation and fatty acid-induced uncoupling of mitochondria in UCP1-deficient mice.

Authors:  W E Hofmann; X Liu; C M Bearden; M E Harper; L P Kozak
Journal:  J Biol Chem       Date:  2001-01-24       Impact factor: 5.157

2.  Mapping quantitative trait loci with epistatic effects.

Authors:  Nengjun Yi; Shizhong Xu
Journal:  Genet Res       Date:  2002-04       Impact factor: 1.588

3.  Twins and virtual twins: bases of relative body weight revisited.

Authors:  N L Segal; D B Allison
Journal:  Int J Obes Relat Metab Disord       Date:  2002-04

Review 4.  Epistasis: what it means, what it doesn't mean, and statistical methods to detect it in humans.

Authors:  Heather J Cordell
Journal:  Hum Mol Genet       Date:  2002-10-01       Impact factor: 6.150

5.  The ubiquitous nature of epistasis in determining susceptibility to common human diseases.

Authors:  Jason H Moore
Journal:  Hum Hered       Date:  2003       Impact factor: 0.444

6.  Quantitative trait loci affecting growth in high growth (hg) mice.

Authors:  P M Corva; S Horvat; J F Medrano
Journal:  Mamm Genome       Date:  2001-04       Impact factor: 2.957

7.  Interacting genetic loci on chromosomes 20 and 10 influence extreme human obesity.

Authors:  Chuanhui Dong; Shuang Wang; Wei-Dong Li; Ding Li; Hongyu Zhao; R Arlen Price
Journal:  Am J Hum Genet       Date:  2002-12-11       Impact factor: 11.025

8.  The influence of genetic background on expression of mutations at the diabetes locus in the mouse. I. C57BL-KsJ and C57BL-6J strains.

Authors:  K P Hummel; D L Coleman; P W Lane
Journal:  Biochem Genet       Date:  1972-08       Impact factor: 1.890

Review 9.  Measurement of cholesterol in plasma and other body fluids.

Authors:  G R Warnick; A T Remaley
Journal:  Curr Atheroscler Rep       Date:  2001-09       Impact factor: 5.113

10.  Reciprocal hemizygosity analysis of mouse hepatic lipase reveals influence on obesity.

Authors:  Poupak Farahani; Janis S Fisler; Howard Wong; Adam L Diament; Nengjun Yi; Craig H Warden
Journal:  Obes Res       Date:  2004-02
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  15 in total

1.  Bayesian model selection for genome-wide epistatic quantitative trait loci analysis.

Authors:  Nengjun Yi; Brian S Yandell; Gary A Churchill; David B Allison; Eugene J Eisen; Daniel Pomp
Journal:  Genetics       Date:  2005-05-23       Impact factor: 4.562

2.  Identification of quantitative trait loci affecting body composition in a mouse intercross.

Authors:  James A Vitarius; Ephraim Sehayek; Jan L Breslow
Journal:  Proc Natl Acad Sci U S A       Date:  2006-12-18       Impact factor: 11.205

3.  Bayesian analyses of multiple epistatic QTL models for body weight and body composition in mice.

Authors:  Nengjun Yi; Denise K Zinniel; Kyoungmi Kim; Eugene J Eisen; Alfred Bartolucci; David B Allison; Daniel Pomp
Journal:  Genet Res       Date:  2006-02       Impact factor: 1.588

4.  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

5.  Mapping interacting QTL for count phenotypes using hierarchical Poisson and binomial models: an application to reproductive traits in mice.

Authors:  Jun Li; Richard Reynolds; Daniel Pomp; David B Allison; Nengjun Yi
Journal:  Genet Res (Camb)       Date:  2010-03-04       Impact factor: 1.588

6.  Genetic influences on growth and body composition in mice: multilocus interactions.

Authors:  G A Ankra-Badu; D Pomp; D Shriner; D B Allison; N Yi
Journal:  Int J Obes (Lond)       Date:  2008-11-04       Impact factor: 5.095

7.  Mapping main, epistatic and sex-specific QTL for body composition in a chicken population divergently selected for low or high growth rate.

Authors:  Georgina A Ankra-Badu; Daniel Shriner; Elisabeth Le Bihan-Duval; Sandrine Mignon-Grasteau; Frédérique Pitel; Catherine Beaumont; Michel J Duclos; Jean Simon; Tom E Porter; Alain Vignal; Larry A Cogburn; David B Allison; Nengjun Yi; Samuel E Aggrey
Journal:  BMC Genomics       Date:  2010-02-11       Impact factor: 3.969

8.  Genetic loci affecting body weight and fatness in a C57BL/6J x PWK/PhJ mouse intercross.

Authors:  Hongguang Shao; Danielle R Reed; Michael G Tordoff
Journal:  Mamm Genome       Date:  2007-11-16       Impact factor: 2.957

9.  Interspecific recombinant congenic strains between C57BL/6 and mice of the Mus spretus species: a powerful tool to dissect genetic control of complex traits.

Authors:  Gaëtan Burgio; Marek Szatanik; Jean-Louis Guénet; Maria-Rosa Arnau; Jean-Jacques Panthier; Xavier Montagutelli
Journal:  Genetics       Date:  2007-10-18       Impact factor: 4.562

10.  Fine-mapping of obesity-related quantitative trait loci in an F9/10 advanced intercross line.

Authors:  Gloria L Fawcett; Joseph P Jarvis; Charles C Roseman; Bing Wang; Jason B Wolf; James M Cheverud
Journal:  Obesity (Silver Spring)       Date:  2009-11-12       Impact factor: 5.002

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