Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Comment
  • Published:

Polygenic risk scores for CARDINAL study

Nature Genetics volume 54, pages 527–530 (2022)Cite this article

Subjects

The Cardiometabolic Disorders in African-Ancestry Populations (CARDINAL) study site is a well-powered, first-of-its-kind resource for developing, refining and validating methods for research into polygenic risk scores that accounts for local ancestry, to improve risk prediction in diverse populations.

This is a preview of subscription content, access via your institution

Relevant articles

Open Access articles citing this article.

Access options

Buy this article

  • Purchase on Springer Link
  • Instant access to full article PDF
Buy now

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Ancestry distribution in GWAS.
Fig. 2: Geographic representation of the core cohorts.

References

  1. Diseases, G. B. D. & Injuries, C. Lancet 396, 1204–1222 (2020).

    Article  Google Scholar 

  2. Adebamowo, S. N., Tekola-Ayele, F., Adeyemo, A. A. & Rotimi, C. N. Public Health Genomics 20, 9–26 (2017).

    Article  Google Scholar 

  3. Dikilitas, O. et al. Am. J. Hum. Genet. 106, 707–716 (2020).

    Article  CAS  Google Scholar 

  4. Wuttke, M. et al. Nat. Genet. 51, 957–972 (2019).

    Article  CAS  Google Scholar 

  5. Levy, D. et al. Nat. Genet. 41, 677–687 (2009).

    Article  CAS  Google Scholar 

  6. Hu, Y. et al. Stroke 53, 875–885 (2022).

    Article  CAS  Google Scholar 

  7. Popejoy, A. B. & Fullerton, S. M. Nature 538, 161–164 (2016).

    Article  CAS  Google Scholar 

  8. Mogil, L. S. et al. PLoS Genet. 14, e1007586 (2018).

    Article  Google Scholar 

  9. Vilhjalmsson, B. J. et al. Am. J. Hum. Genet. 97, 576–592 (2015).

    Article  CAS  Google Scholar 

  10. Schizophrenia Working Group of the Psychiatric Genomics. Nature 511, 421–427 (2014).

    Article  Google Scholar 

  11. Belsky, D. W. et al. Biodemogr. Soc. Biol. 59, 85–100 (2013).

    Article  Google Scholar 

  12. Akiyama, M. et al. Nat. Genet. 49, 1458–1467 (2017).

    Article  CAS  Google Scholar 

  13. Lee, J. J. et al. Nat. Genet. 50, 1112–1121 (2018).

    Article  CAS  Google Scholar 

  14. Martin, A. R. et al. Nat. Genet. 51, 584–591 (2019).

    Article  CAS  Google Scholar 

  15. Buniello, A. et al. Nucleic Acids Res. 47, D1005–D1012 (2019).

    Article  CAS  Google Scholar 

  16. Morales, J. et al. Genome Biol. 19, 21 (2018).

    Article  Google Scholar 

  17. Hindorff, L. A. et al. Nat. Rev. Genet. 19, 175–185 (2018).

    Article  CAS  Google Scholar 

  18. Choudhury, A. et al. Nature 586, 741–748 (2020).

    Article  CAS  Google Scholar 

  19. Lazaridis, I. et al. Nature 536, 419–424 (2016).

    Article  CAS  Google Scholar 

  20. Khera, A. V. et al. N. Engl. J. Med. 375, 2349–2358 (2016).

    Article  CAS  Google Scholar 

  21. Prive, F. et al. Am. J. Hum. Genet. 109, 12–23 (2022).

    Article  CAS  Google Scholar 

  22. Kanai, M. et al. Nat. Genet. 50, 390–400 (2018).

    Article  CAS  Google Scholar 

  23. Ofori-Acquah, S. F. & The SickleGenAfrica Network. Lancet Glob Health 8, e1255–e1256 (2020).

  24. Marnetto, D. et al. Nat. Commun. 11, 628 (2020).

    Article  Google Scholar 

  25. Choi, S. W., Mak, T. S. & O’Reilly, P. F. Nat. Protoc. 15, 2759–2772 (2020).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

CARDINAL is funded by the Polygenic Risk Score (PRS) Methods and Analysis for Populations of Diverse Ancestry – Study Sites (NIH/NHGRI 1U01HG011717). We are very grateful to the individuals who participated in the studies included in the CARDINAL study site and members of the research groups that contributed to each study. We are also grateful for the following projects funded by the National Institutes of Health (NIH): African Collaborative Center for Microbiome and Genomics Research Grant (NIH/NHGRI 1U54HG006947), AWI-Gen Collaborative Centre (NIH/NHGRI U54HG006938); Eyes of Africa: The Genetics of Blindness (NIH/NHGRI and NEI, U54HG009826); and SIREN (U54HG007479). T.C. is an international training fellow supported by the Wellcome Trust grant (214205/Z/18/Z). S.F. is an international Intermediate Fellow funded by the Wellcome Trust grant (220740/Z/20/Z) at the MRC/UVRI and LSHTM

Author information

Authors and Affiliations

  1. Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA

    Clement A. Adebamowo, Archana Bhavani VasanthKumar & Sally N. Adebamowo

  2. University of Maryland Marlene and Stewart Greenbaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA

    Clement A. Adebamowo, Yuji Zhang & Sally N. Adebamowo

  3. National Human Genome Research Institute, Rockville, MD, USA

    Adebowale Adeyemo & Neil Hanchard

  4. Department of Ophthalmology, University of Ibadan, Ibadan, Nigeria

    Adeyinka Ashaye

  5. Department of Epidemiology and Medical Statistics, University of Ibadan, Ibadan, Nigeria

    Onoja M. Akpa

  6. Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

    Tinashe Chikowore, Ananyo Choudhury & Michèle Ramsay

  7. Department of Biotechnology, University of Mauritius, Reduit, MU, Mauritius

    Yasmina J. Fakim

  8. The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM (Uganda Research Unit), Entebbe, Uganda

    Segun Fatumo

  9. London School of Hygiene and Tropical Medicine, London, UK

    Segun Fatumo

  10. Department of Medicine, Duke University, Durham, NC, USA

    Michael Hauser

  11. Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA

    Braxton Mitchell

  12. Computational Biology Division, IDM, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa

    Nicola Mulder

  13. West African Genetic Medicine Centre (WAGMC), University of Ghana, Accra, Ghana

    Solomon F. Ofori-Acquah

  14. Center for Translational and International Hematology, Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, PA, USA

    Solomon F. Ofori-Acquah

  15. Department of Medicine and Center for Genomic and Precision Medicine, University of Ibadan, Ibadan, Nigeria

    Mayowa Owolabi

  16. Department of Public Health Sciences, Loyola University Chicago, Maywood, IL, USA

    Bamidele Tayo

  17. Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA

    Yuji Zhang

Authors
  1. Clement A. Adebamowo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Adebowale Adeyemo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Adeyinka Ashaye
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Onoja M. Akpa
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Tinashe Chikowore
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Ananyo Choudhury
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Yasmina J. Fakim
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Segun Fatumo
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Neil Hanchard
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Michael Hauser
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Braxton Mitchell
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Nicola Mulder
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Solomon F. Ofori-Acquah
    View author publications

    You can also search for this author in PubMed Google Scholar

  14. Mayowa Owolabi
    View author publications

    You can also search for this author in PubMed Google Scholar

  15. Michèle Ramsay
    View author publications

    You can also search for this author in PubMed Google Scholar

  16. Bamidele Tayo
    View author publications

    You can also search for this author in PubMed Google Scholar

  17. Archana Bhavani VasanthKumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  18. Yuji Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  19. Sally N. Adebamowo
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

S.N.A. drafted the manuscript, created the figures and tables. All authors reviewed the manuscript and approved the final version.

Corresponding author

Correspondence to Sally N. Adebamowo.

Ethics declarations

Competing interests

The authors declare no conflict of interest. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscripts.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Adebamowo, C.A., Adeyemo, A., Ashaye, A. et al. Polygenic risk scores for CARDINAL study. Nat Genet 54, 527–530 (2022). https://doi.org/10.1038/s41588-022-01074-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41588-022-01074-3

This article is cited by

Search

Advanced search

Quick links

Nature Briefing: Translational Research

Sign up for the Nature Briefing: Translational Research newsletter — top stories in biotechnology, drug discovery and pharma.

Get what matters in translational research, free to your inbox weekly. Sign up for Nature Briefing: Translational Research