Genetic determination and correlation of body weight and body mass index (BMI) and cross-sectional geometric parameters of the femoral neck

Xu, Hong; Long, Jirong; Yang, Yan-Jun; Deng, Fei‐Yan; Deng, Hong‐Wen

doi:10.1007/s00198-006-0141-y

Cited by 12 publications

(11 citation statements)

References 49 publications

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“…These estimates are slightly higher than those estimated from a Chinese adult family–based cohort (55% to 57%). (36) We also observed that shared genetics significantly contributed to the observed inverse PFM-bone relationships, indicating a set of genes shared by both PFM and bone parameters. These findings are consistent with a previous study in white adults(37) and may be explained by current understanding about the reciprocal differentiation of adipocytes (the main origin of adipokines) and osteoblasts, which each originate from the same mesenchymal stem cells in a mutually exclusive way.…”

Section: Discussionmentioning

confidence: 53%

Percent fat mass is inversely associated with bone mass and hip geometry in rural Chinese adolescents

Hong

Arguelles

Liu

et al. 2010

Journal of Bone and Mineral Research

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This study was an attempt to examine the phenotypic, genetic, and environmental correlations between percent fat mass (PFM) and bone parameters, especially hip geometry, among 786 males and 618 females aged 13 to 21 years from a Chinese twin cohort. PFM, bone area (BA), bone mineral content (BMC), cross-sectional area (CSA), and section modulus (SM) were obtained by dual-energy X-ray absorptiometry. Multiple linear regression models were used to assess the PFM-bone relationships. A structural equation model for twin design was used to estimate genetic/environmental influences on individual phenotype and phenotypic correlations. After controlling for body weight and other pertinent covariates, we observed inverse associations between PFM and bone parameters: Compared with the lowest age- and gender-specific tertile of PFM, males in the highest tertile of PFM had lower measures of whole-body-less-head BA (WB-BA), lumbar spine BA (L2–L4-BA), total-hip BA (TH-BA), total-hip BMC, CSA, and SM (p < .005 for all, adjusted p < .05). Similar inverse associations were observed in females for all the preceding parameters except WB-BA and L2–L4-BA. These associations did not vary significantly by Tanner stages. In both genders, the estimated heritabilities were 80% to 86% for BMC, 67% to 80% for BA, 74% to 77% for CSA, and 64% for SM. Both shared genetics and environmental factors contributed to the inverse PFM-bone correlations. We conclude that in this sample of relatively lean Chinese adolescents, at a given body weight, PFM is inversely associated with BA, BMC, and hip geometry in both genders, and such associations are attributed to both shared genetic and environmental factors. © 2010 American Society for Bone and Mineral Research.

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Section: Discussionmentioning

confidence: 53%

Percent fat mass is inversely associated with bone mass and hip geometry in rural Chinese adolescents

Hong

Arguelles

Liu

et al. 2010

Journal of Bone and Mineral Research

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“…The five estimated FNGPs are: (1) W , femoral neck periosteal diameter; (2) CSA, the area with mineralized bone tissue, excluded bone marrow space; (3) Z , an index of bending resistance; (4) CT, cortical thickness; and (5) BR, an index of bone geometric instability [14]. FNGPs were computed as follows:

CSA = \frac{BMD \times W}{ρ m}

, where ρ m is the effective density of fully mineralized bone tissue, which is assumed to be 1.05 g/cm 2 [25, 26], and W , the femoral neck periosteal diameter, can be estimated by dividing the bone size by the width of the region of interest (in Hologic DXA systems, the width of the femoral neck region is standardized at 1.5 cm) [24].…”

Section: Methodsmentioning

confidence: 99%

The differences of femoral neck geometric parameters: effects of age, gender and race

et al. 2009

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Summary This study aims at investigating the effects of age, sex, and ethnicity on five femoral neck geometric parameters (FNGPs): femoral neck periosteal diameter, cross-sectional area, cortical thickness, sectional modulus, and buckling ratio and found that the three factors would influence the FNGPs. Introduction Bone geometry is one of the most important predictors of bone strength and osteoporotic fractures. This study aims at investigating the effects of age, sex, and ethnicity on five femoral neck geometric parameters (FNGPs): femoral neck periosteal diameter (W), cross-sectional area (CSA), cortical thickness (CT), sectional modulus (Z), and buckling ratio (BR). Methods In the studied 861 Caucasian subjects and 3,021 Chinese individuals, CSA, CT, and Z displayed trends of decrease with age, but W and BR showed increasing trends with age in both Chinese and Caucasian females and males (p < 0.05). W, CSA, CT, and Z were significantly higher (p ≤ 0.001) in Caucasians than in Chinese and higher in males than in females except for BR between Chinese males and Chinese females. Conclusion In conclusion, the differences of FNGPs according to gender and ethnicity provide important implications in the different prevalence of osteoporotic fracture among different gender and ethnic groups.

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“…With regards to muscle strength and power, genetic effects explain 30%–50% in postmenopausal age group [77, 78]. Analogously, the heritability of bone strength, measured with section modulus of femoral neck, has been reported to be 40 to 55% [76].…”

Section: Interaction Between Postmenopausal Sarcopenia and Osteopomentioning

confidence: 99%

Similarities in Acquired Factors Related to Postmenopausal Osteoporosis and Sarcopenia

Sirola

Kröger

2011

Journal of Osteoporosis

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Postmenopausal population is at increased risk of musculoskeletal impairments. Sarcopenia and osteoporosis are associated with significant morbidity and social and health-care costs. These two conditions are uniquely linked with similarities in pathophysiology and diagnostic methods. Uniform diagnostic criteria for sarcopenia are still evolving. Postmenopausal sarcopenia and osteoporosis share many environmental risk- and preventive factors. Moreover, geriatric frailty syndrome may result from interaction of osteoporosis and sarcopenia and may lead to increased mortality. The present paper reviews the factors in evolution of postmenopausal sarcopenia and osteoporosis.

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Genetic determination and correlation of body weight and body mass index (BMI) and cross-sectional geometric parameters of the femoral neck

Abstract: In summary, our study suggested that body weight, BMI, and femoral neck geometry were under strong genetic determination. The strong genetic correlations suggested that the genetic factors of bone geometry may be overlapped with those of body weight and BMI.

Cited by 12 publications

References 49 publications

Percent fat mass is inversely associated with bone mass and hip geometry in rural Chinese adolescents

Percent fat mass is inversely associated with bone mass and hip geometry in rural Chinese adolescents

The differences of femoral neck geometric parameters: effects of age, gender and race

Similarities in Acquired Factors Related to Postmenopausal Osteoporosis and Sarcopenia

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