Literature DB >> 12096841

Genetic and environmental determinants of peak bone mass in young men and women.

Fiona E A McGuigan1, Liam Murray, Alison Gallagher, George Davey-Smith, Charlotte E Neville, Rob Van't Hof, Colin Boreham, Stuart H Ralston.   

Abstract

Peak bone mass is an important risk factor for the development of osteoporosis in later life. Previous work has suggested that genetic, intrauterine, and environmental factors all contribute to the regulation of bone mass, but the ways in which they interact with each other to do so remain poorly understood. In this study, we investigated the relationship between peak bone mass and polymorphisms of the vitamin D receptor (VDR), estrogen receptor (ER) a, and collagen type Ialpha1 (COLIA1) genes in relation to other factors such as birth weight, lifestyle diet, and exercise in a population-based cohort of 216 women and 244 men in their early 20s. Stepwise multiple regression analysis showed that body weight was the strongest predictor of bone mineral density (BMD) in women, accounting for 16.4% of the variance in spine BMD and 8.4% of the variance in femoral neck BMD. Other significant predictors were VDR genotype (3.8%) and carbohydrate intake (1.6%) at the spine and vitamin D intake (3.4%) and ER genotype (3.4%) at the femoral neck. Physical activity was the strongest predictor of BMD in men, accounting for 6.7% of the variance at the spine and 5.1% at the hip. Other significant predictors were body weight (5%) and ER PvuII genotype (2.8%) at the spine and weight (3.4%) and alcohol intake (2%) at the femoral neck. Birth weight was not a significant predictor of BMD at either site but COLIA1 genotype significantly predicted birth weight in women, accounting for 4.3% of the variance. We conclude that peak bone mass is regulated by an overlapping but distinct set of environmental and genetic influences that differ in men and women. However, much of the variance in BMD was unexplained by the variables studied here, which suggests that either most of the genes that regulate BMD remain to be discovered or major environmental influences on BMD exist that have not yet been identified.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12096841     DOI: 10.1359/jbmr.2002.17.7.1273

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


  50 in total

1.  Relationship between body composition and bone mineral density in healthy young and premenopausal Chinese women.

Authors:  Jian-Min Liu; Hong-Yan Zhao; Guang Ning; Yong-Ju Zhao; Lian-Zhen Zhang; Li-Hao Sun; Man-Yin Xu; Jia-Lun Chen
Journal:  Osteoporos Int       Date:  2004-01-16       Impact factor: 4.507

2.  Efficient DNA extraction from nail clippings using the protease solution from Cucumis melo.

Authors:  Shumi Yoshida-Yamamoto; Sayaka Nishimura; Teruko Okuno; Miki Rakuman; Yukio Takii
Journal:  Mol Biotechnol       Date:  2010-09       Impact factor: 2.695

3.  Young patients with hip fracture: a population-based study of bone mass and risk factors for osteoporosis.

Authors:  C M Lofthus; E K Osnes; H E Meyer; I S Kristiansen; L Nordsletten; J A Falch
Journal:  Osteoporos Int       Date:  2006-08-29       Impact factor: 4.507

4.  Establishment of peak bone mineral density in Southern Chinese males and its comparisons with other males from different regions of China.

Authors:  Li-Jun Tan; Shu-Feng Lei; Xiang-Ding Chen; Man-Yuan Liu; Yan-Fang Guo; Hong Xu; Xiao Sun; Cheng Jiang; Su-Mei Xiao; Jing-Jing Guo; Yan-Jun Yang; Fei-Yan Deng; Yan-Bo Wang; Yuan-Neng Li; Xue-Zhen Zhu; Hong-Wen Deng
Journal:  J Bone Miner Metab       Date:  2007-02-26       Impact factor: 2.626

5.  Correlates of trabecular and cortical volumetric BMD in men of African ancestry.

Authors:  Yahtyng Sheu; Jane A Cauley; Clareann H Bunker; Victor W Wheeler; Alan L Patrick; Christopher L Gordon; Candace M Kammerer; Joseph M Zmuda
Journal:  J Bone Miner Res       Date:  2009-12       Impact factor: 6.741

6.  CD38 is associated with premenopausal and postmenopausal bone mineral density and postmenopausal bone loss.

Authors:  Frances J Drummond; John J Mackrill; Kathleen O'sullivan; Mary Daly; Fergus Shanahan; Michael G Molloy
Journal:  J Bone Miner Metab       Date:  2006       Impact factor: 2.626

7.  Comparison of whole genome linkage scans in premenopausal and postmenopausal women: no bone-loss-specific QTLs were implicated.

Authors:  H Yan; Y-J Liu; Q Zhou; P Xiao; R R Recker; H-W Deng
Journal:  Osteoporos Int       Date:  2008-09-03       Impact factor: 4.507

8.  Total and regional bone mineral content in healthy Spanish subjects by dual-energy X-ray absorptiometry.

Authors:  S Aguado Henche; R Rodríguez Torres; C Clemente de Arriba; L Gómez Pellico
Journal:  Skeletal Radiol       Date:  2008-07-02       Impact factor: 2.199

9.  Birth weight and musculoskeletal health in 36-year-old men and women: results from the Amsterdam Growth and Health Longitudinal Study.

Authors:  Saskia J te Velde; Jos W R Twisk; Willem van Mechelen; Han C G Kemper
Journal:  Osteoporos Int       Date:  2003-12-18       Impact factor: 4.507

10.  Associations between a posteriori defined dietary patterns and bone mineral density in adolescents.

Authors:  Teresa Monjardino; Raquel Lucas; Elisabete Ramos; Carla Lopes; Rita Gaio; Henrique Barros
Journal:  Eur J Nutr       Date:  2014-05-08       Impact factor: 5.614

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.