Literature DB >> 10689807

Mapping quantitative trait loci for murine growth: a closer look at genetic architecture.

T T Vaughn1, L S Pletscher, A Peripato, K King-Ellison, E Adams, C Erikson, J M Cheverud.   

Abstract

Over 20 years ago, D. S. Falconer and others launched an important avenue of research into the quantitative of body size growth in mice. This study continues in that tradition by locating quantitative trait loci (QTLs) responsible for murine growth, such as age-specific weights and growth periods, and examining the genetic architecture for body weight. We identified a large number of potential QTLs in an earlier F2 intercross (Intercross I) of the SM/J and LG/J inbred mouse strains. Many of these QTLs are replicated in a second F2 intercross (Intercross II) between the same two strains. These replicated regions provide candidate regions for future fine-mapping studies. We also examined body size and growth QTLs using the combined data set from these two intercrosses, resulting in 96 microsatellite markers being scored for 1045 individuals. An examination of the genetic architecture for age-specific weight and growth periods resulted in locating 20 separate QTLs, which were mainly additive in nature, although dominance was found to affect early growth and body size. QTLs affecting early and late growth were generally distinct, mapping to separate chromosome locations. This QTL pattern indicates largely separate genetic and physiological systems for early and later murine growth, as Falconer suggested. We also found sex-specific QTLs for body size with implications for the evolution of sexual dimorphism.

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Year:  1999        PMID: 10689807     DOI: 10.1017/s0016672399004103

Source DB:  PubMed          Journal:  Genet Res        ISSN: 0016-6723            Impact factor:   1.588


  76 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.  Functional mapping of quantitative trait loci underlying the character process: a theoretical framework.

Authors:  Chang-Xing Ma; George Casella; Rongling Wu
Journal:  Genetics       Date:  2002-08       Impact factor: 4.562

3.  A likelihood approach for mapping growth trajectories using dominant markers in a phase-unknown full-sib family.

Authors:  C-X Ma; M Lin; R C Littell; T Yin; R Wu
Journal:  Theor Appl Genet       Date:  2003-10-28       Impact factor: 5.699

4.  Integration and modularity of quantitative trait locus effects on geometric shape in the mouse mandible.

Authors:  Christian Peter Klingenberg; Larry J Leamy; James M Cheverud
Journal:  Genetics       Date:  2004-04       Impact factor: 4.562

5.  A general framework for analyzing the genetic architecture of developmental characteristics.

Authors:  Rongling Wu; Chang-Xing Ma; Min Lin; George Casella
Journal:  Genetics       Date:  2004-03       Impact factor: 4.562

6.  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

7.  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

8.  Bayesian mapping of genome-wide epistatic imprinted loci for quantitative traits.

Authors:  Shize Li; Xin Wang; Jiahan Li; Tianfu Yang; Lingjiang Min; Yang Liu; Min Lin; Runqing Yang
Journal:  Theor Appl Genet       Date:  2012-02-16       Impact factor: 5.699

Review 9.  Drosophila bristles and the nature of quantitative genetic variation.

Authors:  Trudy F Mackay; Richard F Lyman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-07-29       Impact factor: 6.237

10.  Genetics of Skeletal Evolution in Unusually Large Mice from Gough Island.

Authors:  Michelle D Parmenter; Melissa M Gray; Caley A Hogan; Irene N Ford; Karl W Broman; Christopher J Vinyard; Bret A Payseur
Journal:  Genetics       Date:  2016-09-30       Impact factor: 4.562

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