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Causal Associations of Anthropometric Measurements With Fracture Risk and Bone Mineral Density: A Mendelian Randomization Study |
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| Authors: | Baoshan Ma Chongyang Li Jianqiao Pan Shuzheng Zhang Heng Dong Yiming Wu Jun Lv |
| Affiliation: | 1. College of Information Science and Technology, Dalian Maritime University, Dalian, China;2. College of Information Science and Technology, Dalian Maritime University, Dalian, China Contribution: Writing - review & editing;3. College of Information Science and Technology, Dalian Maritime University, Dalian, China Contribution: Data curation, Writing - review & editing;4. Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China |
| Abstract: | Uncovering additional causal clinical traits and exposure variables is important when studying osteoporosis mechanisms and for the prevention of osteoporosis. Until recently, the causal relationship between anthropometric measurements and osteoporosis had not been fully revealed. In the present study, we utilized several state-of-the-art Mendelian randomization (MR) methods to investigate whether height, body mass index (BMI), waist-to-hip ratio (WHR), hip circumference (HC), and waist circumference (WC) are causally associated with two major characteristics of osteoporosis, bone mineral density (BMD) and fractures. Genomewide significant (p ≤ 5 × 10−8) single-nucleotide polymorphisms (SNPs) associated with the five anthropometric variables were obtained from previous large-scale genomewide association studies (GWAS) and were utilized as instrumental variables. Summary-level data of estimated bone mineral density (eBMD) and fractures were obtained from a large-scale UK Biobank GWAS. Of the MR methods utilized, the inverse-variance weighted method was the primary method used for analysis, and the weighted-median, MR-Egger, mode-based estimate, and MR pleiotropy residual sum and outlier methods were utilized for sensitivity analyses. The results of the present study indicated that each increase in height equal to a single standard deviation (SD) was associated with a 9.9% increase in risk of fracture (odds ratio [OR] = 1.099; 95% confidence interval [CI] 1.067–1.133; p = 8.793 × 10−10) and a 0.080 SD decrease of estimated bone mineral density (95% CI −0.106–(−0.054); p = 2.322 × 10−9). We also found that BMI was causally associated with eBMD (beta = 0.129, 95% CI 0.065–0.194; p = 8.113 × 10−5) but not associated with fracture. The WHR adjusted for BMI, HC adjusted for BMI, and WC adjusted for BMI were not found to be related to fracture occurrence or eBMD. In conclusion, the present study provided genetic evidence for certain causal relationships between anthropometric measurements and bone mineral density or fracture risk. © 2021 American Society for Bone and Mineral Research (ASBMR). |
| Keywords: | ANTHROPOMETRIC MEASUREMENTS BONE MINERAL DENSITY FRACTURE MENDELIAN RANDOMIZATION OSTEOPOROSIS |