Associations of Anthropometric Indicators with Bone Mineral Density and the Risk of Bone Fractures and Falls: A Large-Scale Genetic Correlation Study.

Xiao Hu, Zhao-Xing Gao, Yan-Yu Zhu, Sheng Li, Wen-Wen Ding, Hai-Feng Pan, Peng Wang
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Abstract

Introduction: Although observational studies have suggested potential associations between Anthropometric Indicators (AIs), Osteoporosis (OP), and bone fractures, the causal links are still scarce. This study aimed to comprehensively evaluate the causal relationships between five AIs and site- and age-specific Bone Mineral Density (BMD), as well as bone fractures and falls.

Methods: Genetic exposure data for AIs and outcome data for BMD, bone fractures, and falls were retrieved from various genetic consortia. Genome-wide associations of Single-Nucleotide Polymorphisms (SNPs) were selected as Instrumental Variables (IVs) to infer causal effects in univariable and multivariable Mendelian Randomization (MR) analyses.

Results: The results of primary univariable MR analyses revealed that a per-unit increase in Hip Circumference (HC) was causally associated with a lower risk of bone fractures (Inverse Variance Weighting [IVW] method: OR = 0.80, 95% CI: 0.74, 0.88; P = 1.73×10-06). After adjusting for Body Mass Index (BMI), smoking, and alcohol consumption, further Multivariable Mendelian Randomization (MVMR) analysis supported the presence of causal effects of HC on the decreased risk of fractures. Nevertheless, no causal associations were found between Neck Circumference (NC), Waist Circumference (WC), Waist-to-Hip Ratio (WHR), or Intracranial Volume (ICV) and site/age-specific BMD or the risk of bone fractures or falls.

Discussion: Genetic MR analysis establishes HC as an independent protective factor against fractures, resolving prior observational evidence. Limitations include European ancestry bias.

Conclusion: This study reveals an independent causal association between HC and a lower risk of bone fractures, suggesting that an appropriate increase in HC is beneficial for the prevention of OP.

人体测量指标与骨矿物质密度和骨折和跌倒风险的关联:一项大规模遗传相关性研究。
虽然观察性研究表明人体测量指标(AIs)、骨质疏松症(OP)和骨折之间存在潜在关联,但因果关系仍然很少。本研究旨在全面评估5种AIs与部位和年龄特异性骨矿物质密度(BMD)以及骨折和跌倒之间的因果关系。方法:从不同的遗传联合体中检索AIs的遗传暴露数据以及骨密度、骨折和跌倒的结果数据。在单变量和多变量孟德尔随机化(MR)分析中,选择单核苷酸多态性(snp)的全基因组关联作为工具变量(IVs)来推断因果关系。结果:主要单变量MR分析结果显示,髋围(HC)每单位增加与骨折风险降低有因果关系(逆方差加权[IVW]方法:OR = 0.80, 95% CI: 0.74, 0.88;P = 1.73×10-06)。在调整了身体质量指数(BMI)、吸烟和饮酒后,进一步的多变量孟德尔随机化(MVMR)分析支持HC对骨折风险降低的因果影响。然而,颈围(NC)、腰围(WC)、腰臀比(WHR)或颅内容积(ICV)与部位/年龄特异性骨密度或骨折或跌倒风险之间没有因果关系。讨论:遗传MR分析确定HC是一个独立的骨折保护因素,解决了先前的观察证据。局限性包括欧洲血统偏见。结论:本研究揭示了HC与骨折风险降低之间存在独立的因果关系,提示适当增加HC有利于预防OP。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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