Literature DB >> 17444815

Effects of genes, sex, age, and activity on BMC, bone size, and areal and volumetric BMD.

Lorena M Havill1, Michael C Mahaney, Teresa L Binkley, Bonny L Specker.   

Abstract

UNLABELLED: Quantitative genetic analyses of bone data for 710 inter-related individuals 8-85 yr of age found high heritability estimates for BMC, bone area, and areal and volumetric BMD that varied across bone sites. Activity levels, especially time in moderate plus vigorous activity, had notable effects on bone. In some cases, these effects were age and sex specific.
INTRODUCTION: Genetic and environmental factors play a complex role in determining BMC, bone size, and BMD. This study assessed the heritability of bone measures; characterized the effects of age, sex, and physical activity on bone; and tested for age- and sex-specific bone effects of activity.
MATERIALS AND METHODS: Measures of bone size and areal and volumetric density (aBMD and vBMD, respectively) were obtained by DXA and pQCT on 710 related individuals (466 women) 8-85 yr of age. Measures of activity included percent time in moderate + vigorous activity (%ModVig), stair flights climbed per day, and miles walked per day. Quantitative genetic analyses were conducted to model the effects of activity and covariates on bone outcomes.
RESULTS: Accounting for effects of age, sex, and activity levels, genes explained 40-62% of the residual variation in BMC and BMD and 27-75% in bone size (all p<0.001). Decline in femoral neck (FN), hip, and spine aBMD with advancing age was greater among women than men (age-by-sex interaction; all p <or= 0.05). %ModVig had the most notable effect on bone; high activity was associated with higher aBMD at all sites, but the magnitude of this effect varied. Activity among men was associated with higher FN BMC and cross-sectional area (CSA) at the 4% radius, but this was not observed among women (sex-by-activity interaction, both p <or= 0.05). Younger women had greater cortical vBMD (Cort-vBMD) than younger men, with minimal difference between low and high activity levels. Influence of activity was greater in older women: older women with low activity had lower Cort-vBMD than older men, but older women with high activity had higher Cort-vBMD than older men (age-by-sex-by-activity interaction, p=0.04).
CONCLUSIONS: High heritability estimates for DXA and pQCT measures varied across bone sites. Percent time spent in moderate to vigorous activity had the most notable effect on bone, and in some cases, this effect was age or sex specific.

Entities:  

Mesh:

Year:  2007        PMID: 17444815     DOI: 10.1359/jbmr.070213

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


  41 in total

1.  Cross-sectional versus longitudinal associations of lean and fat mass with pQCT bone outcomes in children.

Authors:  Howard E Wey; Teresa L Binkley; Tianna M Beare; Christine L Wey; Bonny L Specker
Journal:  J Clin Endocrinol Metab       Date:  2010-10-06       Impact factor: 5.958

2.  Obesity alters cortical and trabecular bone density and geometry in women.

Authors:  D Sukumar; Y Schlussel; C S Riedt; C Gordon; T Stahl; S A Shapses
Journal:  Osteoporos Int       Date:  2010-06-09       Impact factor: 4.507

3.  Spatial variation in osteonal bone properties relative to tissue and animal age.

Authors:  Samuel Gourion-Arsiquaud; Jayme C Burket; Lorena M Havill; Edward DiCarlo; Stephen B Doty; Richard Mendelsohn; Marjolein C H van der Meulen; Adele L Boskey
Journal:  J Bone Miner Res       Date:  2009-07       Impact factor: 6.741

4.  Cervical spine bone density in young healthy adults as a function of sex, vertebral level and anatomic location.

Authors:  William J Anderst; Tyler West; William F Donaldson; Joon Y Lee
Journal:  Eur Spine J       Date:  2017-05-06       Impact factor: 3.134

5.  The genetic correlation between scapula shape and shoulder lesions in sows.

Authors:  Ø Nordbø; L E Gangsei; T Aasmundstad; E Grindflek; J Kongsro
Journal:  J Anim Sci       Date:  2018-04-14       Impact factor: 3.159

Review 6.  The Impact of Fat and Obesity on Bone Microarchitecture and Strength in Children.

Authors:  Joshua N Farr; Paul Dimitri
Journal:  Calcif Tissue Int       Date:  2016-12-24       Impact factor: 4.333

7.  Cervical spine bone mineral density as a function of vertebral level and anatomic location.

Authors:  William J Anderst; Eric D Thorhauer; Joon Y Lee; William F Donaldson; James D Kang
Journal:  Spine J       Date:  2011-07       Impact factor: 4.166

8.  Effects of age and sex on the strength and cortical thickness of the femoral neck.

Authors:  R D Carpenter; S Sigurdsson; S Zhao; Y Lu; G Eiriksdottir; G Sigurdsson; B Y Jonsson; S Prevrhal; T B Harris; K Siggeirsdottir; V Guðnason; T F Lang
Journal:  Bone       Date:  2010-12-17       Impact factor: 4.398

Review 9.  Genetics of pediatric bone strength.

Authors:  Jonathan A Mitchell; Diana L Cousminer; Babette S Zemel; Struan F A Grant; Alessandra Chesi
Journal:  Bonekey Rep       Date:  2016-07-20

10.  High-density association study of 383 candidate genes for volumetric BMD at the femoral neck and lumbar spine among older men.

Authors:  Laura M Yerges; Lambertus Klei; Jane A Cauley; Kathryn Roeder; Candace M Kammerer; Susan P Moffett; Kristine E Ensrud; Cara S Nestlerode; Lynn M Marshall; Andrew R Hoffman; Cora Lewis; Thomas F Lang; Elizabeth Barrett-Connor; Robert E Ferrell; Eric S Orwoll; Joseph M Zmuda
Journal:  J Bone Miner Res       Date:  2009-12       Impact factor: 6.741

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