Skip to main content
Log in

Cardiovascular disease

Identifying individuals at extreme risk of venous thromboembolism using polygenic risk scores

  • News & Views
  • Published:

From Nature Genetics

View current issue Submit your manuscript

Current risk assessment and treatment strategies for venous thromboembolism (VTE) consider genetic factors only in a limited way. New work shows a more pervasive role of common variants in VTE risk, inspiring genetic predictors that surpass and complement individual clinical risk factors and monogenic thrombophilia testing.

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: Key performance milestones achieved in polygenic risk prediction for venous thromboembolism.

References

  1. Bertina, R. M. et al. Nature 369, 64–67 (1994).

    Article  CAS  PubMed  Google Scholar 

  2. Poort, S. R., Rosendaal, F. R., Reitsma, P. H. & Bertina, R. M. Blood 88, 3698–3703 (1996).

    Article  CAS  PubMed  Google Scholar 

  3. Trégouët, D.-A. et al. Blood 113, 5298–5303 (2009).

    Article  PubMed  Google Scholar 

  4. Tang, W. et al. Genet. Epidemiol. 37, 512–521 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  5. Lindström, S. et al. Blood 134, 1645–1657 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Klarin, D. et al. Nat. Genet. 51, 1574–1579 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Ghouse, J. et al. Nat. Genet. https://doi.org/10.1038/s41588-022-01286-7 (2023).

    Article  PubMed  Google Scholar 

  8. Gould, M. K. et al. Chest 141, e227S–e277S (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Karczewski, K. J. et al. Nature 581, 434–443 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Bates, S. M. et al. Blood Adv. 2, 3317–3359 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Thibord, F. et al. Circulation 146, 1225–1242 (2022).

    Article  CAS  PubMed  Google Scholar 

  12. de Haan, H. G. et al. Circ. Genom. Precis. Med. 11, e001827 (2018).

    Article  Google Scholar 

  13. Mayerhofer, E. et al. Brain 145, 2677–2686 (2022).

    Article  PubMed  Google Scholar 

  14. Buckner, T. W. & Key, N. S. Circulation 125, 837–839 (2012).

    Article  PubMed  Google Scholar 

  15. O’Sullivan, J. W. et al. Circulation 146, e93–e118 (2022).

    Article  PubMed  Google Scholar 

  16. Marston, N. A. et al. Circulation 141, 616–623 (2020).

    Article  PubMed  Google Scholar 

  17. Damask, A. et al. Circulation 141, 624–636 (2020).

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Michael Chong or Guillaume Paré.

Ethics declarations

Competing interests

G.P. has received consulting fees from Illumina, Bayer and Lifelabs. M.C. has received consulting fees from Bayer and Lifelabs.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chong, M., Paré, G. Identifying individuals at extreme risk of venous thromboembolism using polygenic risk scores. Nat Genet 55, 358–360 (2023). https://doi.org/10.1038/s41588-023-01330-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41588-023-01330-0

  • Springer Nature America, Inc.

Navigation