Skip to main content
Log in

The Relationship Between Body Mass Index and Bone Mineral Density: A Mendelian Randomization Study

  • Original Research
  • Published:
Calcified Tissue International Aims and scope Submit manuscript

Abstract

Body mass index (BMI) is closely associated with bone mineral density (BMD) in both men and women. However, the relationship between BMI and BMD varies according to different studies. Using SNPs strongly associated with BMI in 336,107 individuals, we conducted a two-sample Mendelian randomization study to identify whether and to what extent BMD at different skeletal sites was affected by BMI. A power calculation was also performed. We found that BMI may causally increase lumbar BMD (β 0.087; 95% CI 0.025 to 0.149; P = 0.006) and heel calcaneus BMD (β 0.120; 95% CI 0.082 to 0.157; P = 1 × 10–7). The associations of BMI with forearm and femoral neck BMD were not statistically significant. Our study suggested that higher BMI plays a causal role in increasing BMD and the effects are similar across the skeleton. BMI was causally and positively associated with lumbar and heel calcaneus BMD. However, no statistically significant effects were observed for BMI on femoral neck or forearm BMD.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Data Availability

All data we used in the study was available at MR-Base platform.

References

  1. Burge R, Dawson-Hughes B, Solomon DH, Wong JB, King A et al (2007) Incidence and economic burden of osteoporosis-related fractures in the United States, 2005–2025. J Bone Miner Res 22:465–475

    Article  Google Scholar 

  2. Wright NC, Looker AC, Saag KG, Curtis JR, Delzell ES et al (2014) The recent prevalence of osteoporosis and low bone mass in the United States based on bone mineral density at the femoral neck or lumbar spine. J Bone Miner Res 29:2520–2526

    Article  Google Scholar 

  3. Peacock M, Turner CH, Econs MJ, Foroud T (2002) Genetics of osteoporosis. Endocr Rev 23:303–326

    Article  CAS  Google Scholar 

  4. Palermo A, Tuccinardi D, Defeudis G, Watanabe M, D'Onofrio L et al (2016) BMI and BMD: the potential interplay between obesity and bone fragility. Int J Environ Res Public Health 13:544

    Article  Google Scholar 

  5. Greco EA, Fornari R, Rossi F, Santiemma V, Prossomariti G et al (2010) Is obesity protective for osteoporosis? Evaluation of bone mineral density in individuals with high body mass index. Int J Clin Pract 64:817–820

    Article  CAS  Google Scholar 

  6. Jankowska EA, Rogucka E, Medras M (2001) Are general obesity and visceral adiposity in men linked to reduced bone mineral content resulting from normal ageing? A population-based study. Andrologia 33:384–389

    Article  CAS  Google Scholar 

  7. Ravn P, Cizza G, Bjarnason NH, Thompson D, Daley M et al (1999) Low body mass index is an important risk factor for low bone mass and increased bone loss in early postmenopausal women. Early Postmenopausal Intervention Cohort (EPIC) study group. J Bone Miner Res 14:1622–1627

    Article  CAS  Google Scholar 

  8. Edelstein SL, Barrett-Connor E (1993) Relation between body size and bone mineral density in elderly men and women. Am J Epidemiol 138:160–169

    Article  CAS  Google Scholar 

  9. De Laet C, Kanis JA, Oden A, Johanson H, Johnell O et al (2005) Body mass index as a predictor of fracture risk: a meta-analysis. Osteoporos Int 16:1330–1338

    Article  Google Scholar 

  10. Roy DK, O'Neill TW, Finn JD, Lunt M, Silman AJ et al (2003) Determinants of incident vertebral fracture in men and women: results from the European Prospective Osteoporosis Study (EPOS). Osteoporos Int 14:19–26

    Article  CAS  Google Scholar 

  11. Mahajan R, Stokes M, Elliott A, Munawar DA, Khokhar KB et al (2020) Complex interaction of obesity, intentional weight loss and heart failure: a systematic review and meta-analysis. Heart (British Cardiac Society) 106:58–68

    Google Scholar 

  12. Yeh T-L, Chen H-H, Tsai S-Y, Lin C-Y, Liu S-J et al (2019) The relationship between metabolically healthy obesity and the risk of cardiovascular disease: a systematic review and meta-analysis. J Clin Med 8:1228

    Article  Google Scholar 

  13. Davies NM, Holmes MV, Smith GD (2018) Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians. BMJ 362:k601

    Article  Google Scholar 

  14. Smith GD, Ebrahim S (2004) Mendelian randomization: prospects, potentials, and limitations. Int J Epidemiol 33:30–42

    Article  Google Scholar 

  15. Zheng H-F, Forgetta V, Hsu Y-H, Estrada K, Rosello-Diez A et al (2015) Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture. Nature 526:112–117

    Article  CAS  Google Scholar 

  16. Kemp JP, Morris JA, Medina-Gomez C, Forgetta V, Warrington NM et al (2017) Identification of 153 new loci associated with heel bone mineral density and functional involvement of GPC6 in osteoporosis. Nat Genet 49:1468

    Article  CAS  Google Scholar 

  17. Hemani G, Zheng J, Elsworth B, Wade KH, Haberland V et al (2018) The MR-base platform supports systematic causal inference across the human phenome. eLife 7:e34408

    Article  Google Scholar 

  18. Genomes Project Consortium (2015) A global reference for human genetic variation. Nature 526:68–74

    Article  Google Scholar 

  19. Hartwig FP, Davies NM, Hemani G, Smith GD (2016) Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique. Int J Epidemiol 45:1717–1726

    Article  Google Scholar 

  20. Burgess S, Butterworth A, Thompson SG (2013) Mendelian randomization analysis with multiple genetic variants using summarized data. Genet Epidemiol 37:658–665

    Article  Google Scholar 

  21. Bowden J, Smith GD, Haycock PC, Burgess S (2016) Consistent estimation in mendelian randomization with some invalid instruments using a weighted median estimator. Genet Epidemiol 40:304–314

    Article  Google Scholar 

  22. Bowden J, Smith GD, Burgess S (2015) Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int J Epidemiol 44:512–525

    Article  Google Scholar 

  23. Brion M-J, Shakhbazov K, Visscher PM (2013) Calculating statistical power in Mendelian randomization studies. Int J Epidemiol 42:1497–1501

    Article  Google Scholar 

  24. Burgess S, Thompson SG (2017) Interpreting findings from Mendelian randomization using the MR-Egger method. Eur J Epidemiol 32:377–389

    Article  Google Scholar 

  25. Ribot C, Trémollières F, Pouillès J-M (1994) The effect of obesity on postmenopausal bone loss and the risk of osteoporosis. In: Draper HH (ed) Nutrition and osteoporosis. Springer, Boston, pp 257–271

    Chapter  Google Scholar 

  26. Ribot C, Tremollieres F, Pouilles JM, Bonneu M, Germain F et al (1987) Obesity and postmenopausal bone loss: the influence of obesity on vertebral density and bone turnover in postmenopausal women. Bone 8:327–331

    Article  CAS  Google Scholar 

  27. Morin S, Tsang JF, Leslie WD (2009) Weight and body mass index predict bone mineral density and fractures in women aged 40 to 59 years. Osteoporos Int 20:363–370

    Article  CAS  Google Scholar 

  28. Wiacek M, Skrzek A, Ignasiak Z, Zubrzycki IZ (2010) The changes of bone mineral density in relation to body mass index and aging among Polish and different ethnic women in the United States: cross-sectional studies. J Clin Densitom 13:307–314

    Article  Google Scholar 

  29. Babaroutsi E, Magkos F, Manios Y, Sidossis LS (2005) Body mass index, calcium intake, and physical activity affect calcaneal ultrasound in healthy Greek males in an age-dependent and parameter-specific manner. J Bone Miner Metab 23:157–166

    Article  Google Scholar 

  30. Saarelainen J, Kiviniemi V, Krger H, Tuppurainen M, Niskanen L et al (2012) Body mass index and bone loss among postmenopausal women: the 10-year follow-up of the OSTPRE cohort. J Bone Miner Metab 30:208–216

    Article  Google Scholar 

  31. Yang TL, Zhao LJ, Liu YJ, Liu JF, Recker RR et al (2006) Genetic and environmental correlations of bone mineral density at different skeletal sites in females and males. Calcif Tissue Int 78:212–217

    Article  CAS  Google Scholar 

  32. Johansson H, Kanis JA, Odén A, McCloskey E, Chapurlat RD et al (2014) A meta-analysis of the association of fracture risk and body mass index in women. J Bone Miner Res 29:223–233

    Article  Google Scholar 

  33. Cao JJ (2011) Effects of obesity on bone metabolism. J Orthop Surg Res 6:30

    Article  Google Scholar 

  34. Hotamisligil GS (2006) Inflammation and metabolic disorders. Nature 444:860–867

    Article  CAS  Google Scholar 

  35. Watts NB, Glow investigators (2014) Insights from the global longitudinal study of osteoporosis in women (GLOW). Nat Rev Endocrinol 10:412–422

    Article  Google Scholar 

  36. Prieto-Alhambra D, Premaor MO, Aviles FF, Hermosilla E, Martinez-Laguna D et al (2012) The association between fracture and obesity is site-dependent: a population-based study in postmenopausal women. J Bone Miner Res 27:294–300

    Article  Google Scholar 

  37. Lawlor DA, Tilling K, Smith GD (2016) Triangulation in aetiological epidemiology. Int J Epidemiol 45:1866–1886

    Article  Google Scholar 

Download references

Acknowledgementss

We thank the developers of MR-Base platform.

Funding

This study was partially supported by the Fundamental Research Funds for the Central Universities (xyz022019043) and Key Research and Development Program of Shaanxi Province (2018SF-186).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiaoqian Dang.

Ethics declarations

Conflict of interest

Jidong Song, Rupeng Zhang, Leifeng Lv, Jialin Liang, Wei Wang, Ruiyu Liu and Xiaoqian Dang have no financial interests to disclose.

Human and Animal Rights and Informed Consent

All participants of the original studies included in the GWASs had provided informed consent.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 9131 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Song, J., Zhang, R., Lv, L. et al. The Relationship Between Body Mass Index and Bone Mineral Density: A Mendelian Randomization Study. Calcif Tissue Int 107, 440–445 (2020). https://doi.org/10.1007/s00223-020-00736-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00223-020-00736-w

Keywords

Navigation