Literature DB >> 14555257

Bone density in sheep: genetic variation and quantitative trait loci localisation.

A W Campbell1, W E Bain, A F McRae, T E Broad, P D Johnstone, K G Dodds, B A Veenvliet, G J Greer, B C Glass, A E Beattie, N B Jopson, J C McEwan.   

Abstract

Bone density (BD) is an important factor in osteoporotic fracture risk in humans. However, BD is a complex trait confounded by environmental influences and polygenic inheritance. Sheep provide a potentially useful model for studying differences in BD, as they provide a means of circumventing complex environmental factors and are a similar weight to humans. The aims of this study were to establish whether there is genetic variation in BD in sheep and then to localise quantitative trait loci (QTLs) associated with this variation. We also aimed to evaluate the relationship between fat and muscle body components and BD in sheep. Results showed that there was significant (P < 0.01) genetic variation among Coopworth sheep sires for BD. This genetic difference was correlated (P < 0.01) with body weight and muscle mass. A number of QTLs exceeding the suggestive threshold were identified (nine in total). Of these, two (chromosomes 1, P < 0.05; chromosome 24, P < 0.01) were significant using genome-wide permutation significance thresholds (2000 iterations). The position of the QTL on chromosome 24 coincided with a number of other body composition QTLs, indicating possible pleiotropic effects or the presence of multiple genes affecting body composition at that site. This study shows that sheep are potentially a useful model for studying the genetics of BD.

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Year:  2003        PMID: 14555257     DOI: 10.1016/s8756-3282(03)00228-x

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  9 in total

1.  QTL mapping for sexually dimorphic fitness-related traits in wild bighorn sheep.

Authors:  J Poissant; C S Davis; R M Malenfant; J T Hogg; D W Coltman
Journal:  Heredity (Edinb)       Date:  2011-08-17       Impact factor: 3.821

Review 2.  Animal models for fracture treatment in osteoporosis.

Authors:  Marcus Egermann; J Goldhahn; E Schneider
Journal:  Osteoporos Int       Date:  2005-03-05       Impact factor: 4.507

3.  Influence of hydroxyapatite-coated and growth factor-releasing interference screws on tendon-bone healing in an ovine model.

Authors:  Yan Lu; Mark D Markel; Brett Nemke; J Sam Lee; Ben K Graf; William L Murphy
Journal:  Arthroscopy       Date:  2009-11-06       Impact factor: 4.772

4.  Mapping Quantitative Trait Loci (QTL) in sheep. III. QTL for carcass composition traits derived from CT scans and aligned with a meta-assembly for sheep and cattle carcass QTL.

Authors:  Colin R Cavanagh; Elisabeth Jonas; Matthew Hobbs; Peter C Thomson; Imke Tammen; Herman W Raadsma
Journal:  Genet Sel Evol       Date:  2010-09-16       Impact factor: 4.297

Review 5.  Review of nonprimate, large animal models for osteoporosis research.

Authors:  Susan Reinwald; David Burr
Journal:  J Bone Miner Res       Date:  2008-09       Impact factor: 6.741

6.  A new dynamic six degrees of freedom disc-loading simulator allows to provoke disc damage and herniation.

Authors:  Hans-Joachim Wilke; Annette Kienle; Sebastian Maile; Volker Rasche; Nikolaus Berger-Roscher
Journal:  Eur Spine J       Date:  2016-02-02       Impact factor: 3.134

7.  The genetic pleiotropy of musculoskeletal aging.

Authors:  David Karasik; Miri Cohen-Zinder
Journal:  Front Physiol       Date:  2012-08-08       Impact factor: 4.566

8.  Coating with a modular bone morphogenetic peptide promotes healing of a bone-implant gap in an ovine model.

Authors:  Yan Lu; Jae Sung Lee; Brett Nemke; Ben K Graf; Kevin Royalty; Richard Illgen; Ray Vanderby; Mark D Markel; William L Murphy
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

9.  A genome-wide association study demonstrates significant genetic variation for fracture risk in Thoroughbred racehorses.

Authors:  Sarah C Blott; June E Swinburne; Charlene Sibbons; Laura Y Fox-Clipsham; Maud Helwegen; Lynn Hillyer; Tim D H Parkin; J Richard Newton; Mark Vaudin
Journal:  BMC Genomics       Date:  2014-02-21       Impact factor: 3.969

  9 in total

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