Literature DB >> 15125790

Genetics of bone mineral density: evidence for a major pleiotropic effect from an intercontinental study.

Gregory Livshits1, Hong-Wen Deng, Tuan V Nguyen, Konstantin Yakovenko, Robert R Recker, John A Eisman.   

Abstract

UNLABELLED: BMD is a primary predictor of osteoporotic fracture, and its genetic determination is still unclear. This study showed that the correlation between BMD at different skeletal sites is caused by an underlying genetic structure of common genetic effects. In addition to possible shared (pleiotropic) genetic and environmental effects, each of the BMD variables may also be determined by site-specific genetic factors.
INTRODUCTION: BMD is a primary predictor of osteoporotic fracture and a key phenotype for the genetic study of osteoporosis. The interindividual variation in BMD measured at a given skeletal site is largely regulated by genetic factors. A strong phenotypic covariation exists for BMD at different skeletal sites. This study tests the hypothesis that the covariation is in fact caused by an underlying genetic structure of common genetic effects and that, in addition to possible shared (pleiotropic) genetic effects, each of the BMD variables may also be determined by site-specific genetic factors
MATERIALS AND METHODS: A bivariate complex segregation analysis as implemented in statistical package PAP was conducted to explore various models of pleiotropic genetic and environmental transmission in lumbar spine and femoral neck BMD, as well as in compact and spongious segments of hand phalanges. The BMD was obtained in three ethnically, culturally, and socially heterogeneous samples of white pedigrees, with 2549 individuals between 18 and 100 years of age, from Australia, Europe, and North America. RESULTS AND
CONCLUSIONS: The genetic correlation between BMD measures ranged between 0.50 +/- 0.09 and 0.79 +/- 0.04 in the three samples. In each sample, the model incorporated a major locus pleiotropic effect, and residual correlation was found to be the most parsimonious model. Estimated parameters from the model indicated a significant pleiotropic major gene effect on both lumbar spine and femoral neck BMD, with the existence of a significant residual correlation (0.51 +/- 0.07 to 0.66 +/- 0.04). These results suggest that the covariation in BMD at different skeletal sites, and between mostly compact versus mostly trabecular bone, was largely determined by common genetic factors that are pleiotropic or in close linkage and linkage disequilibirum, while at the same time, exhibiting considerable evidence of shared environmental effects. The results, for the first time, suggest that the possibility of pleiotropic genetic effect may be controlled by a major genetic locus. Identification of the major locus could open new opportunity to understanding the liability and pathogenic processes in which they are involved in the determination of fracture risk. Copyright 2004 American Society for Bone and Mineral Research

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Year:  2004        PMID: 15125790     DOI: 10.1359/JBMR.040132

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


  20 in total

1.  Familial aggregation of bone mineral density and bone mineral content in a Chinese population.

Authors:  Yan Feng; Yi-Hsiang Hsu; Henry Terwedow; Chang zhong Chen; Xin Xu; Tianhua Niu; Tonghua Zang; Di Wu; Genfu Tang; Zhiping Li; Xiumei Hong; Binyan Wang; Joseph D Brain; Steven R Cummings; Clifford Rosen; Mary L Bouxsein; Xiping Xu
Journal:  Osteoporos Int       Date:  2005-09-15       Impact factor: 4.507

2.  Genetic determination and correlation of body mass index and bone mineral density at the spine and hip in Chinese Han ethnicity.

Authors:  Fei-Yan Deng; Shu-Feng Lei; Miao-Xin Li; Cheng Jiang; Volodymyr Dvornyk; Hong-Wen Deng
Journal:  Osteoporos Int       Date:  2005-07-16       Impact factor: 4.507

3.  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

4.  Hip geometry variation is associated with bone mineralization pathway gene variants: The Framingham Study.

Authors:  Ching-Lung Cheung; Gregory Livshits; Yanhua Zhou; James B Meigs; Jarred B McAteer; Jose C Florez; L Adrienne Cupples; Serkalem Demissie; Douglas P Kiel; David Karasik
Journal:  J Bone Miner Res       Date:  2010-07       Impact factor: 6.741

5.  The cannabinoid receptor type 2 (CNR2) gene is associated with hand bone strength phenotypes in an ethnically homogeneous family sample.

Authors:  Meliha Karsak; Ida Malkin; Mohammad R Toliat; Christian Kubisch; Peter Nürnberg; Andreas Zimmer; Gregory Livshits
Journal:  Hum Genet       Date:  2009-06-30       Impact factor: 4.132

6.  Bivariate association analysis in selected samples: application to a GWAS of two bone mineral density phenotypes in males with high or low BMD.

Authors:  Aude Saint-Pierre; Jean-Marc Kaufman; Agnes Ostertag; Martine Cohen-Solal; Anne Boland; Kaatje Toye; Diana Zelenika; Mark Lathrop; Marie-Christine de Vernejoul; Maria Martinez
Journal:  Eur J Hum Genet       Date:  2011-03-23       Impact factor: 4.246

Review 7.  Genetic epidemiology of age-related osteoporosis and its clinical applications.

Authors:  Ching-Lung Cheung; Su-Mei Xiao; Annie W C Kung
Journal:  Nat Rev Rheumatol       Date:  2010-08-03       Impact factor: 20.543

8.  Quantitative genetics of cortical bone mass in healthy 10-year-old children from the Fels Longitudinal Study.

Authors:  Dana L Duren; Richard J Sherwood; Audrey C Choh; Stefan A Czerwinski; Wm Cameron Chumlea; Miryoung Lee; Shumei S Sun; Ellen W Demerath; Roger M Siervogel; Bradford Towne
Journal:  Bone       Date:  2006-10-23       Impact factor: 4.398

9.  Quantitative trait loci for bone mineral density and femoral morphology in an advanced intercross population of mice.

Authors:  Larry J Leamy; Scott A Kelly; Kunjie Hua; Charles R Farber; Daniel Pomp
Journal:  Bone       Date:  2013-02-26       Impact factor: 4.398

10.  A comparison of principal component analysis and factor analysis strategies for uncovering pleiotropic factors.

Authors:  Xiaojing Wang; Candace M Kammerer; Stewart Anderson; Jiang Lu; Eleanor Feingold
Journal:  Genet Epidemiol       Date:  2009-05       Impact factor: 2.135

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