Skip to main content

Advertisement

Log in

Parkinson’s Disease and Ischemic Stroke: a Bidirectional Mendelian Randomization Study

  • Short Communication
  • Published:
Translational Stroke Research Aims and scope Submit manuscript

Abstract

We aimed to assess the potential causal association between Parkinson’s disease (PD) and ischemic stroke (IS) with Mendelian randomization methods. Summary statistics data from two large-scale genome-wide association studies (GWAS) for 33,674 PD cases and 40,585 IS cases were used in this study. We used inverse variance-weighted method for primary analysis, and four other Mendelian randomization methods (weighted median, MR-Egger regression methods, robust adjusted profile score, radial regression) to test whether PD was causal for IS and its subtypes. Analyses were bidirectional to assess reverse causality. Primary analysis showed PD had a significantly causal association with IS (OR 1.04; 95% CI, 1.02–1.07; p = 0.0019), and two subtypes of IS, cardioembolic stroke (OR 1.11; 95% CI, 1.06–1.18; p = 0.0001) and large artery stroke (OR 1.08; 95% CI, 1.01–1.15; p = 0.034), but not with small-vessel stroke (p = 0.180). The point estimates from sensitivity analyses were in the same direction. There was no strong evidence for a reverse causal association between PD and IS. Using multiple Mendelian randomization methods based on large-scale GWAS, PD is a potential cause of cardioembolic stroke and large artery stroke, but not small-vessel stroke. Ischemic stroke does not cause PD.

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

References

  1. Global, regional, and national burden of Parkinson’s disease, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2018;17(11):939–953.

  2. Nalls MA, et al. Identification of novel risk loci, causal insights, and heritable risk for Parkinson’s disease: a meta-analysis of genome-wide association studies. Lancet Neurol. 2019;18(12):1091–102.

    Article  CAS  Google Scholar 

  3. Feigin VL, et al. Global, regional, and country-specific lifetime risks of stroke, 1990 and 2016. N Engl J Med. 2018;379(25):2429–37.

    Article  Google Scholar 

  4. Kummer BR, et al. Associations between cerebrovascular risk factors and Parkinson disease. Ann Neurol. 2019;86(4):572–81.

    Article  Google Scholar 

  5. Alves M, et al. Does Parkinson’s disease increase the risk of cardiovascular events? A systematic review and meta-analysis. Eur J Neurol. 2020;27(2):288–96.

    Article  CAS  Google Scholar 

  6. Espay AJ, et al. Neurogenic orthostatic hypotension and supine hypertension in Parkinson’s disease and related synucleinopathies: prioritisation of treatment targets. Lancet Neurol. 2016;15(9):954–66.

    Article  Google Scholar 

  7. Larsson SC, Burgess S, Michaëlsson K. Smoking and stroke: a Mendelian randomization study. Ann Neurol. 2019;86(3):468–71.

    Article  CAS  Google Scholar 

  8. Malik R, et al. Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes. Nat Genet. 2018;50(4):524–37.

    Article  CAS  Google Scholar 

  9. Staley JR, et al. PhenoScanner: a database of human genotype-phenotype associations. Bioinformatics. 2016;32(20):3207–9.

    Article  CAS  Google Scholar 

  10. Burgess S, Bowden J. Integrating summarized data from multiple genetic variants in Mendelian randomization: bias and coverage properties of inverse-variance weighted methods. 2015. arXiv:1512.04486. https://arxiv.org/abs/1512.04486v1

  11. Bowden J, Davey Smith G, Burgess S. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int J Epidemiol. 2015;44(2):512–25.

    Article  Google Scholar 

  12. Bowden J, et al. Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator. Genet Epidemiol. 2016;40(4):304–14.

    Article  Google Scholar 

  13. Zhao Q, et al. Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score. 2018. arXiv:1801.09652. https://arxiv.org/abs/1801.09652

  14. Bowden J, et al. Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression. Int J Epidemiol. 2018;47(4):1264–78.

    Article  Google Scholar 

  15. Verbanck M, et al. Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat Genet. 2018;50(5):693–8.

    Article  CAS  Google Scholar 

  16. Costa CAD, Manaa WE, Duplan E, Checler F. The endoplasmic reticulum stress/unfolded protein response and their contributions to Parkinson’s disease physiopathology. Cells. 2020;9(11):2495. https://doi.org/10.3390/cells9112495

  17. Kim T, et al. Poststroke induction of α-synuclein mediates ischemic brain damage. J Neurosci. 2016;36(26):7055–65.

    Article  CAS  Google Scholar 

  18. Lang W, et al. Identification of shared genes between ischemic stroke and Parkinson’s disease using genome-wide association studies. Front Neurol. 2019;10:297.

    Article  Google Scholar 

  19. Ricci F, De Caterina R, Fedorowski A. Orthostatic hypotension: epidemiology, prognosis, and treatment. J Am Coll Cardiol. 2015;66(7):848–60.

    Article  Google Scholar 

  20. Thomas GEC, et al. Brain iron deposition is linked with cognitive severity in Parkinson’s disease. J Neurol Neurosurg Psychiatry. 2020;91(4):418–25.

    Article  Google Scholar 

  21. Gill D, et al. Iron status and risk of stroke. Stroke. 2018;49(12):2815–21.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The authors thank Prof. Yi Tang from the Department of Neurology, Xuanwu Hospital, Capital Medical University, for his professional opinions regarding the clinical linkage between Parkinson’s disease and ischemic stroke.

Funding

This study received funding from Xuanwu Hospital Hospital-Level Foundation (XWJL-2019001), Beijing Municipal Administration of Hospitals Incubating Program (PX2020034), and The Beijing Scientific and Technologic Project (Z201100005520019).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Adam A. Dmytriw or Liqun Jiao.

Ethics declarations

Ethics Approval

The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Competing Interests

The authors declare no competing interests.

Additional information

Publisher's Note

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

Shiyuan Fang, Xinzhi Hu and Tao Wang are co-first authors.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 4318 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fang, S., Hu, X., Wang, T. et al. Parkinson’s Disease and Ischemic Stroke: a Bidirectional Mendelian Randomization Study. Transl. Stroke Res. 13, 528–532 (2022). https://doi.org/10.1007/s12975-021-00974-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12975-021-00974-6

Keywords

Navigation