Skip to main content
Log in

Polymorphisms in genes in the RANKL/RANK/OPG pathway are associated with bone mineral density at different skeletal sites in post-menopausal women

  • Original Article
  • Published:
Osteoporosis International Aims and scope Submit manuscript

Abstract

Summary

Association between 22 single nucleotide polymorphisms (SNPs) in the TNFSF11, TNFRSF11A, and TNFRSF11B genes in the RANKL/RANK/OPG pathway with bone mineral density (BMD) in 881 post-menopausal women. Our results suggest that TNFSF11 and TNFRSF11A, but not TNFRSF11B, genetic polymorphisms influence BMD mainly in the femoral neck in post-menopausal Chinese women.

Introduction

The aim of this study was to assess the relationship of polymorphisms in the TNFSF11, TNFRSF11A, and TNFRSF11B genes in the RANKL/RANK/OPG pathway with bone mineral density (BMD) in a cohort of Chinese post-menopausal women.

Methods

A cross-sectional study was conducted in 881 post-menopausal women aged 50–89 years. All participants underwent lumbar spinal (LS) and femoral neck (FN) BMD evaluation by dual-energy X-ray absorptiometry. Twenty-two TNFSF11, TNFRSF11A, and TNFRSF11B SNPs were genotyped. We tested whether a single SNP or a haplotype was associated with BMD variations.

Results

Two SNPs in the TNFSF11 gene (rs2277439 and rs2324851) and one in the TNFRSF11A gene (rs7239261) were found to be significantly associated with FN BMD (p = 0.014, 0.013, and 0.047, respectively). Haplotype TGACGT of TNFSF11 rs9525641-rs2277439-rs2324851-rs2875459-rs2200287-rs9533166 was a genetic risk factor toward a lower FN BMD (beta = −0.1473; p = 0.01126). In contrary, haplotype TAGCGT of TNFSF11 rs9525641-rs2277439-rs2324851-rs2875459-rs2200287-rs9533166 was genetic protective factor for LS BMD (beta = 0.3923; p = 0.04917).

Conclusions

Our findings suggest that TNFSF11 and TNFRSF11A, but not TNFRSF11B, genetic polymorphisms influence BMD mainly in the femoral neck in post-menopausal Chinese women. This contributes to the understanding of the role of genetic variation in this pathway in determining bone health.

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

References

  1. Lane NE (2006) Epidemiology, etiology, and diagnosis of osteoporosis. Am J Obstet Gynecol (2 Suppl):S3-11

  2. Li WF, Hou SX, Yu B, Li MM, Ferec C, Chen JM (2010) Genetics of osteoporosis: accelerating pace in gene identification and validation. Hum Genet 3:249–285

    Article  CAS  Google Scholar 

  3. Slemenda CW, Turner CH, Peacock M, Christian JC, Sorbel J, Hui SL, Johnston CC (1996) The genetics of proximal femur geometry, distribution of bone mass and bone mineral density. Osteoporos Int 2:178–182

    Article  Google Scholar 

  4. Smith DM, Nance WE, Kang KW, Christian JC, Johnston CC Jr (1973) Genetic factors in determining bone mass. J Clin Invest 11:2800–2808

    Article  Google Scholar 

  5. Arden NK, Baker J, Hogg C, Baan K, Spector TD (1996) The heritability of bone mineral density, ultrasound of the calcaneus and hip axis length: a study of postmenopausal twins. J Bone Miner Res 4:530–534

    Google Scholar 

  6. Garnero P, Sornay-Rendu E, Chapuy MC, Delmas PD (1996) Increased bone turnover in late postmenopausal women is a major determinant of osteoporosis. J Bone Miner Res 3:337–349

    Google Scholar 

  7. Boyle WJ, Simonet WS, Lacey DL (2003) Osteoclast differentiation and activation. Nature 6937:337–342

    Article  Google Scholar 

  8. Liu C, Walter TS, Huang P, Zhang S, Zhu X, Wu Y, Wedderburn LR, Tang P, Owens RJ, Stuart DI, Ren J, Gao B (2010) Structural and functional insights of RANKL-RANK interaction and signaling. J Immunol 12:6910–6919

    Article  Google Scholar 

  9. Boyce BF, Xing L (2007) Biology of RANK, RANKL, and osteoprotegerin. Arthritis Res Ther Suppl 1:S1

    Article  Google Scholar 

  10. Richards JB, Zheng HF, Spector TD (2012) Genetics of osteoporosis from genome-wide association studies: advances and challenges. Nat Rev Genet 8:576–588

    Article  Google Scholar 

  11. Richards JB, Rivadeneira F, Inouye M, Pastinen TM, Soranzo N, Wilson SG, Andrew T, Falchi M, Gwilliam R, Ahmadi KR, Valdes AM, Arp P, Whittaker P, Verlaan DJ, Jhamai M, Kumanduri V, Moorhouse M, van Meurs JB, Hofman A, Pols HA, Hart D, Zhai G, Kato BS, Mullin BH, Zhang F, Deloukas P, Uitterlinden AG, Spector TD (2008) Bone mineral density, osteoporosis, and osteoporotic fractures: a genome-wide association study. Lancet 9623:1505–1512

    Article  Google Scholar 

  12. Rivadeneira F, Styrkarsdottir U, Estrada K, Halldorsson BV, Hsu YH, Richards JB et al (2009) Twenty bone-mineral-density loci identified by large-scale meta-analysis of genome-wide association studies. Nat Genet 41(11):1199–1206

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  13. Richards JB, Kavvoura FK, Rivadeneira F, Styrkarsdottir U, Estrada K, Halldorsson BV, Hsu YH, Zillikens MC, Wilson SG, Mullin BH, Amin N, Aulchenko YS, Cupples LA, Deloukas P, Demissie S, Hofman A, Kong A, Karasik D, van Meurs JB, Oostra BA, Pols HA, Sigurdsson G, Thorsteinsdottir U, Soranzo N, Williams FM, Zhou Y, Ralston SH, Thorleifsson G, van Duijn CM, Kiel DP, Stefansson K, Uitterlinden AG, Ioannidis JP, Spector TD, Genetic Factors for Osteoporosis Consortium (2009) Collaborative meta-analysis: associations of 150 candidate genes with osteoporosis and osteoporotic fracture. Ann Intern Med 8:528–537

    Article  Google Scholar 

  14. Zheng HF, Tobias JH, Duncan E, Evans DM, Eriksson J, Paternoster L, Yerges-Armstrong LM, Lehtimäki T, Bergström U, Kähönen M, Leo PJ, Raitakari O, Laaksonen M, Nicholson GC, Viikari J, Ladouceur M, Lyytikäinen LP, Medina-Gomez C, Rivadeneira F, Prince RL, Sievanen H, Leslie WD, Mellström D, Eisman JA, Movérare-Skrtic S, Goltzman D, Hanley DA, Jones G, St Pourcain B, Xiao Y, Timpson NJ, Smith GD, Reid IR, Ring SM, Sambrook PN, Karlsson M, Dennison EM, Kemp JP, Danoy P, Sayers A, Wilson SG, Nethander M, McCloskey E, Vandenput L, Eastell R, Liu J, Spector T, Mitchell BD, Streeten EA, Brommage R, Pettersson-Kymmer U, Brown MA, Ohlsson C, Richards JB, Lorentzon M (2012) WNT16 influences bone mineral density, cortical bone thickness, bone strength, and osteoporotic fracture risk. PLoS Genet 7:e1002745

    Article  Google Scholar 

  15. Styrkarsdottir U, Halldorsson BV, Gretarsdottir S, Gudbjartsson DF, Walters GB, Ingvarsson T, Jonsdottir T, Saemundsdottir J, Center JR, Nguyen TV, Bagger Y, Gulcher JR, Eisman JA, Christiansen C, Sigurdsson G, Kong A, Thorsteinsdottir U, Stefansson K (2008) Multiple genetic loci for bone mineral density and fractures. N Engl J Med 22:2355–2365

    Article  Google Scholar 

  16. Styrkarsdottir U, Halldorsson BV, Gretarsdottir S, Gudbjartsson DF, Walters GB, Ingvarsson T, Jonsdottir T, Saemundsdottir J, Snorradóttir S, Center JR, Nguyen TV, Alexandersen P, Gulcher JR, Eisman JA, Christiansen C, Sigurdsson G, Kong A, Thorsteinsdottir U, Stefansson K (2009) New sequence variants associated with bone mineral density. Nat Genet 1:15–17

    Article  Google Scholar 

  17. Yoskovitz G, Garcia-Giralt N, Rodriguez-Sanz M, Urreizti R, Guerri R, Arino-Ballester S, Prieto-Alhambra D, Mellibovsky L, Grinberg D, Nogues X, Balcells S, Diez-Perez A (2013) Analyses of RANK and RANKL in the post-GWAS context: functional evidence of vitamin D stimulation through a RANKL distal region. J Bone Miner Res 12:2550–2560

    Article  Google Scholar 

  18. Zhang Z, He JW, Fu WZ, Zhang CQ, Zhang ZL (2013) An analysis of the association between the vitamin D pathway and serum 25-hydroxyvitamin D levels in a healthy Chinese population. J Bone Miner Res 8:1784–1792

    Article  Google Scholar 

  19. Xiong DH, Shen H, Zhao LJ, Xiao P, Yang TL, Guo Y, Liu YJ, Recker RR, Deng HW (2006) Robust and comprehensive analysis of 20 osteoporosis candidate genes by very high-density single-nucleotide polymorphism screen among 405 white nuclear families identified significant association and gene-gene interaction. J Bone Miner Res 11:1678–1695

    Article  Google Scholar 

  20. Hsu YH, Niu T, Terwedow HA, Xu X, Feng Y, Li Z, Brain JD, Rosen CJ, Laird N, Xu X (2006) Variation in genes involved in the RANKL/RANK/OPG bone remodeling pathway are associated with bone mineral density at different skeletal sites in men. Hum Genet 5:568–577

    Article  Google Scholar 

  21. Choi JY, Shin A, Park SK, Chung HW, Cho SI, Shin CS, Kim H, Lee KM, Lee KH, Kang C, Cho DY, Kang D (2005) Genetic polymorphisms of OPG, RANK, and ESR1 and bone mineral density in Korean postmenopausal women. Calcif Tissue Int 3:152–159

    Article  Google Scholar 

  22. Koh JM, Park BL, Kim DJ, Kim GS, Cheong HS, Kim TH, Hong JM, Shin HI, Park EK, Kim SY, Shin HD (2007) Identification of novel RANK polymorphisms and their putative association with low BMD among postmenopausal women. Osteoporos Int 3:323–331

    Article  Google Scholar 

  23. Lee YH, Woo JH, Choi SJ, Ji JD, Song GG (2010) Associations between osteoprotegerin polymorphisms and bone mineral density: a meta-analysis. Mol Biol Rep 37(1):227–234

    Article  CAS  PubMed  Google Scholar 

  24. Dong SS, Liu XG, Chen Y, Guo Y, Wang L, Zhao J, Xiong DH, Xu XH, Recker RR, Deng HW (2009) Association analyses of RANKL/RANK/OPG gene polymorphisms with femoral neck compression strength index variation in Caucasians. Calcif Tissue Int 2:104–112

    Article  Google Scholar 

Download references

Acknowledgments

This study was funded by the Key Projects of Health Department of Jiangxi Province, China (no. 20114030). We gratefully acknowledge the support of the participants in this study.

Conflicts of interest

None.

Funding

This study was funded by the Key Projects of Health Department of Jiangxi Province, China (no. 20114030).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to P. Tu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tu, P., Duan, P., Zhang, RS. et al. Polymorphisms in genes in the RANKL/RANK/OPG pathway are associated with bone mineral density at different skeletal sites in post-menopausal women. Osteoporos Int 26, 179–185 (2015). https://doi.org/10.1007/s00198-014-2854-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00198-014-2854-7

Keywords

Navigation