Skip to main content
Log in

Association between educational attainment and thyroid cancer: evidence from a univariable and multivariable Mendelian randomization study

  • Original Article
  • Published:
Endocrine Aims and scope Submit manuscript

Abstract

Background

Thyroid cancer and educational attainment have been related in observational studies. It is unclear if these correlations indicate causative relationships.

Methods

Using large-scale genome-wide association studies (GWAS) datasets, we conducted an univariable and multivariable Mendelian randomization (MR) study to assess a potential connection between educational attainment and thyroid cancer. The inverse-variance weighted (IVW) analysis method is used as our primary outcome. Additionally, we carry out several sensitivity analyses to evaluate the pleiotropy and robustness of the causal estimates.

Results

Univariate MR study shows 4.2 years of additional education is associated with a 41.4% reduction in thyroid cancer risk (OR = 0.586; 95% CI: 0.378–0.909; P = 0.017). Further multivariable MR analysis revealed that body mass index (BMI) acted as a partial mediating factor in the protective impact of higher educational attainment against thyroid cancer.

Conclusion

This MR study provided genetic evidence that longer education attainment is related to a lower risk of thyroid cancer. Strategies of expanding education may reduce the burden of thyroid cancer in the world.

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
Fig. 2

Similar content being viewed by others

Data availability

The GWAS summary data utilized in this study are all publicly available.

References

  1. H. Sung, J. Ferlay, R.L. Siegel et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 71, 209–249 (2021)

    Article  PubMed  Google Scholar 

  2. R.L. Siegel, K.D. Miller, H.E. Fuchs et al. Cancer statistics, 2022. Ca Cancer J. Clin. 72, 7–33 (2022)

    Article  PubMed  Google Scholar 

  3. N. Uppal, C. Cunningham Nee Lubitz, B. James, The cost and financial burden of thyroid cancer on patients in the US: a review and directions for future research. JAMA Otolaryngol.- Head Neck Surg. 148, 568–575 (2022)

    Article  PubMed  Google Scholar 

  4. H. Sadeghi, M. Rafei, M. Bahrami et al. Attributable risk fraction of four lifestyle risk factors of thyroid cancer: a meta-analysis. J. Public Health 40, e91–e98 (2018)

    Article  Google Scholar 

  5. E. Bandurska-Stankiewicz, E. Aksamit-Białoszewska, J. Rutkowska et al. Effect of individual and socio-economic risk factors on the incidence of thyroid carcinoma in Olsztyn province. Endokrynol. Pol. 61, 671–682 (2010)

    PubMed  Google Scholar 

  6. V. Zivaljevic, N. Slijepcevic, I. Paunovic et al. Risk factors for anaplastic thyroid cancer. Int. J. Endocrinol. 2014, 815070 (2014)

    CAS  PubMed  PubMed Central  Google Scholar 

  7. M.T. Parad, M. Fararouei, A.R. Mirahmadizadeh et al. Thyroid cancer and its associated factors: a population-based case-control study. Int. J. Cancer 149, 514–521 (2021)

    Article  CAS  PubMed  Google Scholar 

  8. L.-A. Jj, X. C, O. Rm et al. Environmental, lifestyle, and anthropometric risk factors for differentiated thyroid cancer in Cuba: a case-control study. Eur. Thyroid J. 3, 189–196 (2014). https://doi.org/10.1159/000362928

    Article  Google Scholar 

  9. S.M. Sørensen, C.D. de la Cour, T. Maltesen et al. Temporal trends in papillary and follicular thyroid cancer incidence from 1995 to 2019 in adults in Denmark according to education and income. Thyroid 32, 972–982 (2022)

    Article  PubMed  Google Scholar 

  10. G.D. Smith, S. Ebrahim, Mendelian randomization”: can genetic epidemiology contribute to understanding environmental determinants of disease? Int. J. Epidemiol. 32, 1–22 (2003)

    Article  PubMed  Google Scholar 

  11. S.C. Larsson, H.S. Markus, Genetic liability to insomnia and cardiovascular disease risk. Circulation 140, 796–798 (2019)

    Article  PubMed  Google Scholar 

  12. T. Tillmann, J. Vaucher, A. Okbay et al. Education and coronary heart disease: mendelian randomisation study. BMJ 358, j3542 (2017)

    Article  PubMed  PubMed Central  Google Scholar 

  13. G. Davey Smith, G. Hemani, Mendelian randomization: genetic anchors for causal inference in epidemiological studies. Hum. Mol. Genet. 23, R89–R98 (2014)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. N.M. Davies, M.V. Holmes, G. Davey Smith, Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians. BMJ (Clin. Res. ed.) 362, k601 (2018)

    Article  Google Scholar 

  15. C.A. Emdin, A.V. Khera, P. Natarajan et al. Genetic association of waist-to-hip ratio with cardiometabolic traits, type 2 diabetes, and coronary heart disease. JAMA 317, 626–634 (2017)

    Article  PubMed  PubMed Central  Google Scholar 

  16. J.J. Lee, R. Wedow, A. Okbay et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nat. Genet. 50, 1112–1121 (2018)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. R. Feng, M. Lu, J. Xu et al. Pulmonary embolism and 529 human blood metabolites: genetic correlation and two-sample Mendelian randomization study. BMC Genom. Data 23, 69 (2022)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. S. Burgess, S.G. Thompson, C.R.P. CHD,Genetics Collaboration, Avoiding bias from weak instruments in Mendelian randomization studies. Int. J. Epidemiol. 40, 755–764 (2011).

    Article  PubMed  Google Scholar 

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

    Article  PubMed  PubMed Central  Google Scholar 

  20. S. Burgess, D.J. Thompson, J.M.B. Rees et al. Dissecting causal pathways using mendelian randomization with summarized genetic data: application to age at menarche and risk of breast cancer. Genetics 207, 481–487 (2017)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. S. Burgess, S.G. Thompson, Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects. Am. J. Epidemiol. 181, 251–260 (2015)

    Article  PubMed  PubMed Central  Google Scholar 

  22. N.M. Davies, W.D. Hill, E.L. Anderson et al. Multivariable two-sample Mendelian randomization estimates of the effects of intelligence and education on health. Elife 8, e43990 (2019)

    Article  PubMed  PubMed Central  Google Scholar 

  23. E. Sanderson, G. Davey Smith, F. Windmeijer et al. An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings. Int. J. Epidemiol. 48, 713–727 (2019)

    Article  PubMed  Google Scholar 

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

    Article  PubMed  PubMed Central  Google Scholar 

  25. M. Verbanck, C.-Y. Chen, B. Neale et al. Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat. Genet. 50, 693–698 (2018)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Y. Li, D. Huang, B. Wang et al. Socioeconomic factors are associated with the prognosis of Thyroid Cancer. J. Cancer 12, 2507–2512 (2021)

    Article  PubMed  PubMed Central  Google Scholar 

  27. A. Bonner, B. Herring, R. Wang et al. The association of socioeconomic factors and well-differentiated thyroid cancer. J. Surg. Res. 283, 973–981 (2023)

    Article  PubMed  Google Scholar 

  28. J.B. Shank, C. Are, C.D. Wenos, Thyroid cancer: global burden and trends. Indian J. Surg. Oncol. 13, 40–45 (2022)

    Article  PubMed  Google Scholar 

  29. J. Jang, D.-S. Yoo, B.C. Chun, Spatial distribution and determinants of thyroid cancer incidence from 1999 to 2013 in Korea. Sci. Rep. 11, 22474 (2021)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. L.M. Roche, X. Niu, K.S. Pawlish et al. Thyroid cancer incidence in New Jersey: time trend, birth cohort and socioeconomic status analysis (1979–2006). J. Environ. Public Health 2011, 850105 (2011)

    Article  PubMed  PubMed Central  Google Scholar 

  31. A.M. Roche, S.A. Fedewa, A.Y. Chen, Association of socioeconomic status and race/ethnicity with treatment and survival in patients with medullary thyroid cancer. JAMA Otolaryngol. Head Neck Surg. 142, 763–771 (2016)

    Article  PubMed  Google Scholar 

  32. M.M. Fidler, S. Gupta, I. Soerjomataram et al. Cancer incidence and mortality among young adults aged 20-39 years worldwide in 2012: a population-based study. Lancet Oncol. 18, 1579–1589 (2017)

    Article  PubMed  Google Scholar 

  33. A.A. Almubarak, Y.A. Albkiry, A.A. Alsalem et al. The association of low socioeconomic status with advanced stage thyroid cancer. J. Taibah Univ. Med Sci. 16, 482–490 (2021)

    PubMed  PubMed Central  Google Scholar 

  34. S. Siu, J.T. McDonald, M. Rajaraman et al. Is lower socioeconomic status associated with more advanced thyroid cancer stage at presentation? A study in two Canadian centers. Thyroid 24, 545–551 (2014)

    Article  PubMed  Google Scholar 

  35. B.L. Sprague, S. Warren Andersen, A. Trentham-Dietz, Thyroid cancer incidence and socioeconomic indicators of health care access. Cancer Causes Control 19, 585–593 (2008)

    Article  PubMed  Google Scholar 

  36. D.-T. Yin, H. He, K. Yu et al. The association between thyroid cancer and insulin resistance, metabolic syndrome and its components: a systematic review and meta-analysis. Int. J. Surg. 57, 66–75 (2018)

    Article  PubMed  Google Scholar 

  37. L. Yengo, J. Sidorenko, K.E. Kemper et al. Meta-analysis of genome-wide association studies for height and body mass index in ∼700,000 individuals of European ancestry. Hum. Mol. Genet. 27, 3641–3649 (2018)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. M. Liu, Y. Jiang, R. Wedow et al. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use. Nat. Genet. 51, 237–244 (2019)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Funding

This study is supported by the nursing research project of Zhongshan Hospital affiliated from Xiamen University (2023zsyyhlky-002).

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization, S.Y. and H.Z.; Data curation, S.Y. and H.Z.; Formal analysis, S.Y. and H.Z.; Visualization, J.L., L.P., H.H. and D.D.; Writing—original draft, S.Y. and H.Z.; Writing—review and editing, H.Z., J.L., H.H., S.Y., L.P., D.D. and N.T.; Supervision, L.J. All authors reviewed the manuscript.

Corresponding author

Correspondence to Lijuan Chen.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Ethics statement

We employed summary-level data that is publicly available. Additional patient consent or ethical approval is not required.

Additional information

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

Supplementary information

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fan, S., Jiang, H., Shen, J. et al. Association between educational attainment and thyroid cancer: evidence from a univariable and multivariable Mendelian randomization study. Endocrine (2024). https://doi.org/10.1007/s12020-024-03796-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12020-024-03796-2

Keywords

Navigation