Literature DB >> 10353911

Identification of quantitative trait loci influencing traits related to energy balance in selection and inbred lines of mice.

D E Moody1, D Pomp, M K Nielsen, L D Van Vleck.   

Abstract

Energy balance is a complex trait with relevance to the study of human obesity and maintenance energy requirements of livestock. The objective of this study was to identify, using unique mouse models, quantitative trait loci (QTL) influencing traits that contribute to variation in energy balance. Two F2 resource populations were created from lines of mice differing in heat loss measured by direct calorimetry as an indicator of energy expenditure. The HB F2 resource population originated from a cross between a noninbred line selected for high heat loss and an inbred line with low heat loss. Evidence for significant QTL influencing heat loss was found on chromosomes 1, 2, 3, and 7. Significant QTL influencing body weight and percentage gonadal fat, brown fat, liver, and heart were also identified. The LH F2 resource population originated from noninbred lines of mice that had undergone divergent selection for heat loss. Chromosomes 1 and 3 were evaluated. The QTL for heat loss identified on chromosome 1 in the HB population was confirmed in the LH population, although the effect was smaller. The presence of a QTL influencing 6-wk weight was also confirmed. Suggestive evidence for additional QTL influencing heat loss, percentage subcutaneous fat, and percentage heart was found for chromosome 1.

Entities:  

Mesh:

Year:  1999        PMID: 10353911      PMCID: PMC1460635     

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


  30 in total

1.  Genetic variation in liver mass, body mass, and liver:body mass in mice.

Authors:  L D Jones; M K Nielsen; R A Britton
Journal:  J Anim Sci       Date:  1992-10       Impact factor: 3.159

Review 2.  Role of thermogenesis in the regulation of energy balance in relation to obesity.

Authors:  J Himms-Hagen
Journal:  Can J Physiol Pharmacol       Date:  1989-04       Impact factor: 2.273

3.  A simple regression method for mapping quantitative trait loci in line crosses using flanking markers.

Authors:  C S Haley; S A Knott
Journal:  Heredity (Edinb)       Date:  1992-10       Impact factor: 3.821

4.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

5.  Reduced rate of energy expenditure as a risk factor for body-weight gain.

Authors:  E Ravussin; S Lillioja; W C Knowler; L Christin; D Freymond; W G Abbott; V Boyce; B V Howard; C Bogardus
Journal:  N Engl J Med       Date:  1988-02-25       Impact factor: 91.245

6.  Theoretical basis for separation of multiple linked gene effects in mapping quantitative trait loci.

Authors:  Z B Zeng
Journal:  Proc Natl Acad Sci U S A       Date:  1993-12-01       Impact factor: 11.205

7.  Empirical threshold values for quantitative trait mapping.

Authors:  G A Churchill; R W Doerge
Journal:  Genetics       Date:  1994-11       Impact factor: 4.562

8.  In vitro interactions between nuclear proteins and uncoupling protein gene promoter reveal several putative transactivating factors including Ets1, retinoid X receptor, thyroid hormone receptor, and a CACCC box-binding protein.

Authors:  A M Cassard-Doulcier; M Larose; J C Matamala; O Champigny; F Bouillaud; D Ricquier
Journal:  J Biol Chem       Date:  1994-09-30       Impact factor: 5.157

9.  Mapping thyrotropin beta subunit gene in man and mouse.

Authors:  S L Naylor; A Y Sakaguchi; L McDonald; S Todd; P A Lalley; T B Shows; W W Chin
Journal:  Somat Cell Mol Genet       Date:  1986-05

10.  Genetic mapping of quantitative trait loci for growth and fatness in pigs.

Authors:  L Andersson; C S Haley; H Ellegren; S A Knott; M Johansson; K Andersson; L Andersson-Eklund; I Edfors-Lilja; M Fredholm; I Hansson
Journal:  Science       Date:  1994-03-25       Impact factor: 47.728

View more
  22 in total

1.  The quantitative genetics of maximal and basal rates of oxygen consumption in mice.

Authors:  M R Dohm; J P Hayes; T Garland
Journal:  Genetics       Date:  2001-09       Impact factor: 4.562

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.  A large-sample QTL study in mice: I. Growth.

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

4.  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

5.  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

6.  Quantitative trait loci analysis of structural and material skeletal phenotypes in C57BL/6J and DBA/2 second-generation and recombinant inbred mice.

Authors:  Dean H Lang; Neil A Sharkey; Holly A Mack; George P Vogler; David J Vandenbergh; David A Blizard; Joseph T Stout; Gerald E McClearn
Journal:  J Bone Miner Res       Date:  2004-10-11       Impact factor: 6.741

7.  Four out of eight genes in a mouse chromosome 7 congenic donor region are candidate obesity genes.

Authors:  Kari A Sarahan; Janis S Fisler; Craig H Warden
Journal:  Physiol Genomics       Date:  2011-07-05       Impact factor: 3.107

8.  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

9.  QTLs for pre- and postweaning body weight and body composition in selected mice.

Authors:  Gudrun A Brockmann; Ersin Karatayli; Chris S Haley; Ulla Renne; Oswald J Rottmann; Steffanie Karle
Journal:  Mamm Genome       Date:  2004-08       Impact factor: 2.957

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.