Literature DB >> 8779955

Do genetic factors explain associations between muscle strength, lean mass, and bone density? A twin study.

E Seeman1, J L Hopper, N R Young, C Formica, P Goss, C Tsalamandris.   

Abstract

Are the associations between muscle strength, lean mass, and bone mineral density (BMD) genetically determined? Based on within-pair differences in 56 monozygotic (MZ) and 56 dizygotic (DZ) female twin pairs, mean age 45 yr (range 24-67), BMD was associated with lean mass, independent of fat mass and height (P < 0.05). A 10% increment in femoral neck (FN) BMD was associated with a 15% increment in lean mass (approximately 6 kg). BMD was associated with muscle strength (measured in 35 pairs) before, but not after, adjusting for lean mass. Based on age-adjusted cross-sectional analyses, same-trait correlations (+/- SE) in MZ pairs were double those in DZ pairs: FN BMD (0.62 +/- 0.08, 0.33 +/- 0.12) and lean mass (0.87 +/- 0.03, 0.30 +/- 0.11; all P < 0.001), consistent with a genetic hypothesis. The cross-trait correlation (r) between lean mass and FN BMD in the same individual was 0.43 +/- 0.06. The cross-trait cross-twin correlation between lean mass in one twin and FN BMD in the other was 0.31 +/- 0.07 in MZ pairs, approximately 75% of the cross-trait correlation (r) and 0.19 +/- 0.09 in DZ paris (P < 0.001). After adjusting for height and fat mass, the MZ and DZ cross-trait cross-twin correlations were no different (0.16 +/- 0.08 and 0.13 +/- 0.09, respectively). Therefore, genetic factors account for 60-80% of the individual variances of both FN BMD and lean mass, and > 50% of their covariance. The association between greater muscle mass and greater BMD is likely to be determined by genes regulating size.

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Year:  1996        PMID: 8779955     DOI: 10.1152/ajpendo.1996.270.2.E320

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  71 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.  Bone outcomes and technical measurement issues of bone health among children and adolescents: considerations for nutrition and physical activity intervention trials.

Authors:  Jayne A Fulkerson; John H Himes; Simone A French; Sally Jensen; Moira A Petit; Christy Stewart; Mary Story; Kristine Ensrud; Sandy Fillhouer; Kristine Jacobsen
Journal:  Osteoporos Int       Date:  2004-08-27       Impact factor: 4.507

3.  Familial correlation of bone mineral density, birth data and lifestyle factors among adolescent daughters, mothers and grandmothers.

Authors:  Hiroaki Ohta; Tatsuhiko Kuroda; Yoshiko Onoe; Chie Nakano; Remi Yoshikata; Ken Ishitani; Kazunori Hashimoto; Miyoko Kume
Journal:  J Bone Miner Metab       Date:  2010-04-21       Impact factor: 2.626

Review 4.  How pleiotropic genetics of the musculoskeletal system can inform genomics and phenomics of aging.

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

5.  Sarcopenia and its relationship with bone mineral density in middle-aged and elderly European men.

Authors:  S Verschueren; E Gielen; T W O'Neill; S R Pye; J E Adams; K A Ward; F C Wu; P Szulc; M Laurent; F Claessens; D Vanderschueren; S Boonen
Journal:  Osteoporos Int       Date:  2012-07-10       Impact factor: 4.507

6.  The effects of body mass index on the hereditary influences that determine peak bone mass in mother-daughter pairs (KNHANES V).

Authors:  K M Kim; Y J Kim; S H Choi; S Lim; J H Moon; J H Kim; S W Kim; H C Jang; C S Shin
Journal:  Osteoporos Int       Date:  2016-01-25       Impact factor: 4.507

7.  The muscle-bone unit of peripheral and central skeletal sites in children and young adults.

Authors:  R L Ashby; J E Adams; S A Roberts; M Z Mughal; K A Ward
Journal:  Osteoporos Int       Date:  2010-03-24       Impact factor: 4.507

Review 8.  Loading and bone fragility.

Authors:  Ego Seeman
Journal:  J Bone Miner Metab       Date:  2005       Impact factor: 2.626

9.  Familial aggregation of forearm bone mineral density in Chinese.

Authors:  Xiumei Hong; Tianhua Niu; Changzhong Chen; Binyan Wang; Scott A Venners; Zhian Fang; Xiping Xu
Journal:  Eur J Epidemiol       Date:  2007-05-05       Impact factor: 8.082

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

Authors:  Fei Zhao; Li-Hong Gao; Shan-Shan Li; Zhan-Ying Wei; Wen-Zhen Fu; Jin-Wei He; Yu-Juan Liu; Yun-Qiu Hu; Jing Dong; Zhen-Lin Zhang
Journal:  J Bone Miner Metab       Date:  2016-09-14       Impact factor: 2.626

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