Literature DB >> 18269309

Genetics of the musculoskeletal system: a pleiotropic approach.

David Karasik1, Douglas P Kiel.   

Abstract

The risk of osteoporotic fracture can be viewed as a function of loading conditions and the ability of the bone to withstand the load. Skeletal loads are dominated by muscle action. Recently, it has become clear that bone and muscle share genetic determinants. Involution of the musculoskeletal system manifests as bone loss (osteoporosis) and muscle wasting (sarcopenia). Therefore, the consideration of pleiotropy is an important aspect in the study of the genetics of osteoporosis and sarcopenia. This Perspective will provide the evidence for a shared genetic influence on bone and muscle. We will start with an overview of accumulating evidence that physical exercise produces effects on the adult skeleton, seeking to unravel some of the contradictory findings published thus far. We will provide indications that there are pleiotropic relationships between bone structure/mass and muscle mass/function. Finally, we will offer some insights and practical recommendations as to the value of studying shared genetic factors and will explore possible directions for future research. We consider several related questions that together comprise the general paradigm of bone responses to mechanical loading and the relationship between muscle strength and bone parameters, including the genetic factors that modulate these responses. We believe that further progress in understanding the common genetic etiology of osteoporosis and sarcopenia will provide valuable insight into important biological underpinnings for both conditions and may translate into new approaches to reduce the burdens of both conditions through improved diagnosis, prevention, and early targeted treatment.

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Year:  2008        PMID: 18269309      PMCID: PMC3280426          DOI: 10.1359/jbmr.080218

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


  183 in total

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4.  Mechanical effects on the skeleton: are there clinical implications?

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Journal:  Osteoporos Int       Date:  2001       Impact factor: 4.507

5.  Partitioning of the L4-L5 dynamic moment into disc, ligamentous, and muscular components during lifting.

Authors:  S M McGill; R W Norman
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6.  Bivariate whole genome linkage analysis for femoral neck geometric parameters and total body lean mass.

Authors:  Fei-Yan Deng; Peng Xiao; Shu-Feng Lei; Lei Zhang; Fang Yang; Zi-Hui Tang; Peng-Yuan Liu; Yong-Jun Liu; Robert R Recker; Hong-Wen Deng
Journal:  J Bone Miner Res       Date:  2007-06       Impact factor: 6.741

7.  Femoral bone structural geometry adapts to mechanical loading and is influenced by sex steroids: the Penn State Young Women's Health Study.

Authors:  Moira A Petit; Thomas J Beck; Hung-Mo Lin; Christy Bentley; Richard S Legro; Tom Lloyd
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8.  Evolution of a small-muscle polymorphism in lines of house mice selected for high activity levels.

Authors:  Theodore Garland; Martin T Morgan; John G Swallow; Justin S Rhodes; Isabelle Girard; Jason G Belter; Patrick A Carter
Journal:  Evolution       Date:  2002-06       Impact factor: 3.694

9.  Estrogen receptor beta polymorphisms are associated with bone mass in women and men: the Framingham Study.

Authors:  Amanda M Shearman; David Karasik; Kristen M Gruenthal; Serkalem Demissie; L Adrienne Cupples; David E Housman; Douglas P Kiel
Journal:  J Bone Miner Res       Date:  2003-12-22       Impact factor: 6.741

10.  Hip section modulus, a measure of bending resistance, is more strongly related to reported physical activity than BMD.

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Journal:  Osteoporos Int       Date:  2003-09-02       Impact factor: 4.507

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  38 in total

1.  Low skeletal muscle mass associates with low femoral neck strength, especially in older Korean women: the Fourth Korea National Health and Nutrition Examination Survey (KNHANES IV).

Authors:  B-J Kim; S H Ahn; H M Kim; S H Lee; J-M Koh
Journal:  Osteoporos Int       Date:  2014-11-13       Impact factor: 4.507

Review 2.  How pleiotropic genetics of the musculoskeletal system can inform genomics and phenomics of aging.

Authors:  David Karasik
Journal:  Age (Dordr)       Date:  2010-07-02

3.  Identification and prioritization of NUAK1 and PPP1CC as positional candidate loci for skeletal muscle strength phenotypes.

Authors:  An Windelinckx; Gunther De Mars; Wim Huygens; Maarten W Peeters; Barbara Vincent; Cisca Wijmenga; Diether Lambrechts; Jeroen Aerssens; Robert Vlietinck; Gaston Beunen; Martine A I Thomis
Journal:  Physiol Genomics       Date:  2011-07-12       Impact factor: 3.107

4.  Bivariate genome-wide linkage analysis of femoral bone traits and leg lean mass: Framingham study.

Authors:  David Karasik; Yanhua Zhou; L Adrienne Cupples; Marian T Hannan; Douglas P Kiel; Serkalem Demissie
Journal:  J Bone Miner Res       Date:  2009-04       Impact factor: 6.741

5.  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

Review 6.  Geriatric syndromes: new frontiers in HIV and sarcopenia.

Authors:  Kellie L Hawkins; Todd T Brown; Joseph B Margolick; Kristine M Erlandson
Journal:  AIDS       Date:  2017-06-01       Impact factor: 4.177

Review 7.  Osteosarcopenia: where bone, muscle, and fat collide.

Authors:  H P Hirschfeld; R Kinsella; G Duque
Journal:  Osteoporos Int       Date:  2017-07-22       Impact factor: 4.507

8.  Association between SNPs and haplotypes in the METTL21C gene and peak bone mineral density and body composition in Chinese male nuclear families.

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Review 9.  Osteoporosis: an evolutionary perspective.

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Journal:  Hum Genet       Date:  2008-09-10       Impact factor: 4.132

10.  Differences in fat and muscle mass associated with a functional human polymorphism in a post-transcriptional BMP2 gene regulatory element.

Authors:  Joseph M Devaney; Laura L Tosi; David T Fritz; Heather A Gordish-Dressman; Shan Jiang; Funda E Orkunoglu-Suer; Andrew H Gordon; Brennan T Harmon; Paul D Thompson; Priscilla M Clarkson; Theodore J Angelopoulos; Paul M Gordon; Niall M Moyna; Linda S Pescatello; Paul S Visich; Robert F Zoeller; Cinzia Brandoli; Eric P Hoffman; Melissa B Rogers
Journal:  J Cell Biochem       Date:  2009-08-15       Impact factor: 4.429

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