Literature DB >> 26157577

Genetic regulation of bone strength: a review of animal model studies.

Douglas J Adams1, Cheryl L Ackert-Bicknell2.   

Abstract

Population- and family-based studies have established that fragility fracture risk is heritable; yet, the genome-wide association studies published to date have only accounted for a small fraction of the known variation for fracture risk of either the femur or the lumbar spine. Much work has been carried out using animal models toward finding genetic loci that are associated with bone strength. Studies using animal models overcome some of the issues associated with using patient data, but caution is needed when interpreting the results. In this review, we examine the types of tests that have been used for forward genetics mapping in animal models to identify loci and/or genes that regulate bone strength and discuss the limitations of these test methods. In addition, we present a summary of the quantitative trait loci that have been mapped for bone strength in mice, rats and chickens. The majority of these loci co-map with loci for bone size and/or geometry and thus likely dictate strength via modulating bone size. Differences in bone matrix composition have been demonstrated when comparing inbred strains of mice, and these matrix differences may be associated with differences in bone strength. However, additional work is needed to identify loci that act on bone strength at the materials level.

Entities:  

Year:  2015        PMID: 26157577      PMCID: PMC4495779          DOI: 10.1038/bonekey.2015.83

Source DB:  PubMed          Journal:  Bonekey Rep        ISSN: 2047-6396


  59 in total

1.  Quantitative trait loci for tibial bone strength in C57BL/6J and C3H/HeJ inbred strains of mice.

Authors:  Feng Jiao; Hank Chiu; Yan Jiao; Waldemar G de Rijk; Xinmin Li; Eugene C Eckstein; Wesley G Beamer; Weikuan Gu
Journal:  J Genet       Date:  2010-04       Impact factor: 1.166

2.  Bone, muscle, and physical activity: structural equation modeling of relationships and genetic influence with age.

Authors:  Dean H Lang; David E Conroy; Arimantas Lionikas; Holly A Mack; Lars Larsson; George P Vogler; David J Vandenbergh; David A Blizard; Gerald E McClearn; Neil A Sharkey
Journal:  J Bone Miner Res       Date:  2009-09       Impact factor: 6.741

3.  Heterogeneous stock rats: a new model to study the genetics of renal phenotypes.

Authors:  Leah C Solberg Woods; Cary Stelloh; Kevin R Regner; Tiffany Schwabe; Jessica Eisenhauer; Michael R Garrett
Journal:  Am J Physiol Renal Physiol       Date:  2010-03-10

Review 4.  Chicken genome: current status and future opportunities.

Authors:  David W Burt
Journal:  Genome Res       Date:  2005-12       Impact factor: 9.043

5.  The need for mouse models in osteoporosis genetics research.

Authors:  Cheryl L Ackert-Bicknell; Matthew A Hibbs
Journal:  Bonekey Rep       Date:  2012-06-13

6.  Genetic dissection of femur breaking strength in a large population (MRL/MpJ x SJL/J) of F2 Mice: single QTL effects, epistasis, and pleiotropy.

Authors:  Xinmin Li; Godfred Masinde; Weikuan Gu; Jon Wergedal; Subburaman Mohan; David J Baylink
Journal:  Genomics       Date:  2002-05       Impact factor: 5.736

7.  Femur mechanical properties in the F2 progeny of an NZB/B1NJ x RF/J cross are regulated predominantly by genetic loci that regulate bone geometry.

Authors:  Jon E Wergedal; Cheryl L Ackert-Bicknell; Shirng-Wern Tsaih; Matilda H-C Sheng; Renhua Li; Subburamen Mohan; Wesley G Beamer; Gary A Churchill; David J Baylink
Journal:  J Bone Miner Res       Date:  2006-08       Impact factor: 6.741

8.  Fourier transform infrared imaging microspectroscopy and tissue-level mechanical testing reveal intraspecies variation in mouse bone mineral and matrix composition.

Authors:  Hayden-William Courtland; Philip Nasser; Andrew B Goldstone; Lyudmila Spevak; Adele L Boskey; Karl J Jepsen
Journal:  Calcif Tissue Int       Date:  2008-10-15       Impact factor: 4.333

9.  Identification of candidate gene regions in the rat by co-localization of QTLs for bone density, size, structure and strength.

Authors:  Sofia Lagerholm; Hee-Bok Park; Holger Luthman; Marc Grynpas; Fiona McGuigan; Maria Swanberg; Kristina Åkesson
Journal:  PLoS One       Date:  2011-07-27       Impact factor: 3.240

10.  Quantitative trait locus mapping methods for diversity outbred mice.

Authors:  Daniel M Gatti; Karen L Svenson; Andrey Shabalin; Long-Yang Wu; William Valdar; Petr Simecek; Neal Goodwin; Riyan Cheng; Daniel Pomp; Abraham Palmer; Elissa J Chesler; Karl W Broman; Gary A Churchill
Journal:  G3 (Bethesda)       Date:  2014-09-18       Impact factor: 3.154

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  5 in total

Review 1.  Genetics of aging bone.

Authors:  Douglas J Adams; David W Rowe; Cheryl L Ackert-Bicknell
Journal:  Mamm Genome       Date:  2016-06-06       Impact factor: 2.957

Review 2.  The genetics of bone mass and susceptibility to bone diseases.

Authors:  David Karasik; Fernando Rivadeneira; Mark L Johnson
Journal:  Nat Rev Rheumatol       Date:  2016-04-07       Impact factor: 20.543

Review 3.  Screening Gene Knockout Mice for Variation in Bone Mass: Analysis by μCT and Histomorphometry.

Authors:  David W Rowe; Douglas J Adams; Seung-Hyun Hong; Caibin Zhang; Dong-Guk Shin; C Renata Rydzik; Li Chen; Zhihua Wu; Gaven Garland; Dana A Godfrey; John P Sundberg; Cheryl Ackert-Bicknell
Journal:  Curr Osteoporos Rep       Date:  2018-04       Impact factor: 5.096

4.  Mutual chemical effect of autograft and octacalcium phosphate implantation on enhancing intramembranous bone regeneration.

Authors:  Hisashi Ozaki; Ryo Hamai; Yukari Shiwaku; Susumu Sakai; Kaori Tsuchiya; Osamu Suzuki
Journal:  Sci Technol Adv Mater       Date:  2021-05-28       Impact factor: 8.090

5.  Diet X Gene Interactions Control Femoral Bone Adaptation to Low Dietary Calcium.

Authors:  Krittikan Chanpaisaeng; Perla C Reyes-Fernandez; Brian Dilkes; James C Fleet
Journal:  JBMR Plus       Date:  2022-08-19
  5 in total

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