Literature DB >> 15619674

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

Dean H Lang1, Neil A Sharkey, Holly A Mack, George P Vogler, David J Vandenbergh, David A Blizard, Joseph T Stout, Gerald E McClearn.   

Abstract

UNLABELLED: QTL analyses identified several chromosomal regions influencing skeletal phenotypes of the femur and tibia in BXD F2 and BXD RI populations of mice. QTLs for skeletal traits co-located with each other and with correlated traits such as body weight and length, adipose mass, and serum alkaline phosphatase.
INTRODUCTION: Past research has shown substantial genetic influence on bone quality, and the impact of reduced bone mass on our aging population has heightened the interest in skeletal genetic research.
MATERIALS AND METHODS: Quantitative trait loci (QTL) analyses were performed on morphologic measures and structural and material properties of the femur and tibia in 200-day-old C57BL/6J x DBA/2 (BXD) F2 (second filial generation; n = 400) and BXD recombinant inbred (RI; n = 23 strains) populations of mice. Body weight, body length, adipose mass, and serum alkaline phosphatase were correlated phenotypes included in the analyses.
RESULTS: Skeletal QTLs for morphologic bone measures such as length, width, cortical thickness, and cross-sectional area mapped to nearly every chromosome. QTLs for both structural properties (ultimate load, yield load, or stiffness) and material properties (stress and straincharacteristics and elastic modulus) mapped to chromosomes 4, 6, 9, 12, 13, 15, and 18. QTLs that were specific to structural properties were identified on chromosomes 1, 2, 3, 7, 8, and 17, and QTLs that were specific to skeletal material properties were identified on chromosomes 5, 11, 16, and 19. QTLs for body size (body weight, body length, and adipose mass) often mapped to the same chromosomal regions as those identified for skeletal traits, suggesting that several QTLs identified as influencing bone could be mediated through body size.
CONCLUSION: New QTLs, not previously reported in the literature, were identified for structural and material properties and morphological measures of the mouse femur and tibia. Body weight and length, adipose mass, and serum alkaline phosphatase were correlated phenotypes that mapped in close proximity of skeletal chromosomal loci. The more specific measures of bone quality included in this investigation enhance our understanding of the functional significance of previously identified QTLs.

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Year:  2004        PMID: 15619674      PMCID: PMC1201529          DOI: 10.1359/JBMR.041001

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  42 in total

1.  Detection of quantitative trait loci for body weight at 10 weeks from Philippine wild mice.

Authors:  A Ishikawa; Y Matsuda; T Namikawa
Journal:  Mamm Genome       Date:  2000-10       Impact factor: 2.957

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

Authors:  K H Morris; A Ishikawa; P D Keightley
Journal:  Mamm Genome       Date:  1999-03       Impact factor: 2.957

3.  Quantitative trait loci affecting body weight and fatness from a mouse line selected for extreme high growth.

Authors:  G A Brockmann; C S Haley; U Renne; S A Knott; M Schwerin
Journal:  Genetics       Date:  1998-09       Impact factor: 4.562

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

Authors:  D E Moody; D Pomp; M K Nielsen; L D Van Vleck
Journal:  Genetics       Date:  1999-06       Impact factor: 4.562

5.  Quantitative trait loci for bone density in C57BL/6J and CAST/EiJ inbred mice.

Authors:  W G Beamer; K L Shultz; G A Churchill; W N Frankel; D J Baylink; C J Rosen; L R Donahue
Journal:  Mamm Genome       Date:  1999-11       Impact factor: 2.957

6.  Chromosomal mapping of osteopenia-associated quantitative trait loci using closely related mouse strains.

Authors:  H Benes; R S Weinstein; W Zheng; J J Thaden; R L Jilka; S C Manolagas; R J Shmookler Reis
Journal:  J Bone Miner Res       Date:  2000-04       Impact factor: 6.741

7.  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

8.  Mapping quantitative trait loci for serum insulin-like growth factor-1 levels in mice.

Authors:  C J Rosen; G A Churchill; L R Donahue; K L Shultz; J K Burgess; D R Powell; C Ackert; W G Beamer
Journal:  Bone       Date:  2000-10       Impact factor: 4.398

9.  Quantitative trait loci affecting peak bone mineral density in mice.

Authors:  R F Klein; S R Mitchell; T J Phillips; J K Belknap; E S Orwoll
Journal:  J Bone Miner Res       Date:  1998-11       Impact factor: 6.741

10.  Identification of peak bone mass QTL in a spontaneously osteoporotic mouse strain.

Authors:  M Shimizu; K Higuchi; B Bennett; C Xia; T Tsuboyama; S Kasai; T Chiba; H Fujisawa; K Kogishi; H Kitado; M Kimoto; N Takeda; M Matsushita; H Okumura; T Serikawa; T Nakamura; T E Johnson; M Hosokawa
Journal:  Mamm Genome       Date:  1999-02       Impact factor: 2.957

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  27 in total

Review 1.  Whole bone mechanics and bone quality.

Authors:  Jacqueline H Cole; Marjolein C H van der Meulen
Journal:  Clin Orthop Relat Res       Date:  2011-08       Impact factor: 4.176

2.  Rare coding variants in ALPL are associated with low serum alkaline phosphatase and low bone mineral density.

Authors:  Carrie M Nielson; Joseph M Zmuda; Amy S Carlos; Wendy J Wagoner; Emily A Larson; Eric S Orwoll; Robert F Klein
Journal:  J Bone Miner Res       Date:  2012-01       Impact factor: 6.741

3.  Adjusting data to body size: a comparison of methods as applied to quantitative trait loci analysis of musculoskeletal phenotypes.

Authors:  Dean H Lang; Neil A Sharkey; Arimantas Lionikas; Holly A Mack; Lars Larsson; George P Vogler; David J Vandenbergh; David A Blizard; Joseph T Stout; Joseph P Stitt; Gerald E McClearn
Journal:  J Bone Miner Res       Date:  2004-12-20       Impact factor: 6.741

4.  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

5.  Genetic determination and correlation of body weight and body mass index (BMI) and cross-sectional geometric parameters of the femoral neck.

Authors:  Hong Xu; Ji-Rong Long; Yan-Jun Yang; Fei-Yan Deng; Hong-Wen Deng
Journal:  Osteoporos Int       Date:  2006-09-02       Impact factor: 4.507

6.  Proximal hip geometry is linked to several chromosomal regions: genome-wide linkage results from the Framingham Osteoporosis Study.

Authors:  S Demissie; J Dupuis; L A Cupples; T J Beck; D P Kiel; D Karasik
Journal:  Bone       Date:  2006-10-31       Impact factor: 4.398

7.  A locus on mouse Chromosome 9 (Adip5) affects the relative weight of the gonadal but not retroperitoneal adipose depot.

Authors:  Amanda H McDaniel; Xia Li; Michael G Tordoff; Alexander A Bachmanov; Danielle R Reed
Journal:  Mamm Genome       Date:  2006-11-10       Impact factor: 2.957

8.  Bivariate linkage study of proximal hip geometry and body size indices: the Framingham study.

Authors:  D Karasik; J Dupuis; L A Cupples; T J Beck; M C Mahaney; L M Havill; D P Kiel; S Demissie
Journal:  Calcif Tissue Int       Date:  2007-08-03       Impact factor: 4.333

9.  Fine mapping dissects pleiotropic growth quantitative trait locus into linked loci.

Authors:  Julian K Christians; Laura K Senger
Journal:  Mamm Genome       Date:  2007-05-31       Impact factor: 2.957

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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