Literature DB >> 10051315

Quantitative trait loci for growth traits in C57BL/6J x DBA/2J mice.

K H Morris1, A Ishikawa, P D Keightley.   

Abstract

Quantitative trait loci (QTLs) for body weight and tail length are mapped in an F2 population of 927 C57BL/6J x DBA/2J mice. We test the concordance between the locations of the mapped QTLs with those detected by changes of marker frequency under artificial selection in a previous experiment with the same base population. The directions of effects of the QTLs are generally in agreement, and in many cases significant QTLs are found in similar map positions, but there are also discrepancies between the two experiments. There are indications of age-specific QTL effects on growth. For body weight traits, the genetic variation in the F2 appears to result from many loci with relatively small effects. For tail length at 10 weeks, however, a single QTL on Chromosome (Chr) 1 with a peak LOD score of approximately 33 contributes most of the genetic variation detected, changes the trait value by about 6%, and explains about 20% of the phenotypic variance of the trait.

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Year:  1999        PMID: 10051315     DOI: 10.1007/s003359900977

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


  18 in total

1.  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

2.  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

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.  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

5.  Single QTL effects, epistasis, and pleiotropy account for two-thirds of the phenotypic F(2) variance of growth and obesity in DU6i x DBA/2 mice.

Authors:  G A Brockmann; J Kratzsch; C S Haley; U Renne; M Schwerin; S Karle
Journal:  Genome Res       Date:  2000-12       Impact factor: 9.043

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.  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

8.  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

9.  Identification of genetic regions of importance for reproductive performance in female mice.

Authors:  Maria Liljander; Mary-Ann Sällström; Sara Andersson; Patrik Wernhoff; Asa Andersson; Rikard Holmdahl; Ragnar Mattsson
Journal:  Genetics       Date:  2006-03-17       Impact factor: 4.562

10.  Genetic complexity of an obesity QTL ( Fob3) revealed by detailed genetic mapping.

Authors:  Ioannis M Stylianou; Julian K Christians; Peter D Keightley; Lutz Bünger; Michael Clinton; Grahame Bulfield; Simon Horvat
Journal:  Mamm Genome       Date:  2004-06       Impact factor: 2.957

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