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.
References
Diseases, G. B. D. & Injuries, C. Lancet 396, 1204–1222 (2020).
Adebamowo, S. N., Tekola-Ayele, F., Adeyemo, A. A. & Rotimi, C. N. Public Health Genomics 20, 9–26 (2017).
Dikilitas, O. et al. Am. J. Hum. Genet. 106, 707–716 (2020).
Wuttke, M. et al. Nat. Genet. 51, 957–972 (2019).
Levy, D. et al. Nat. Genet. 41, 677–687 (2009).
Hu, Y. et al. Stroke 53, 875–885 (2022).
Popejoy, A. B. & Fullerton, S. M. Nature 538, 161–164 (2016).
Mogil, L. S. et al. PLoS Genet. 14, e1007586 (2018).
Vilhjalmsson, B. J. et al. Am. J. Hum. Genet. 97, 576–592 (2015).
Schizophrenia Working Group of the Psychiatric Genomics. Nature 511, 421–427 (2014).
Belsky, D. W. et al. Biodemogr. Soc. Biol. 59, 85–100 (2013).
Akiyama, M. et al. Nat. Genet. 49, 1458–1467 (2017).
Lee, J. J. et al. Nat. Genet. 50, 1112–1121 (2018).
Martin, A. R. et al. Nat. Genet. 51, 584–591 (2019).
Buniello, A. et al. Nucleic Acids Res. 47, D1005–D1012 (2019).
Morales, J. et al. Genome Biol. 19, 21 (2018).
Hindorff, L. A. et al. Nat. Rev. Genet. 19, 175–185 (2018).
Choudhury, A. et al. Nature 586, 741–748 (2020).
Lazaridis, I. et al. Nature 536, 419–424 (2016).
Khera, A. V. et al. N. Engl. J. Med. 375, 2349–2358 (2016).
Prive, F. et al. Am. J. Hum. Genet. 109, 12–23 (2022).
Kanai, M. et al. Nat. Genet. 50, 390–400 (2018).
Ofori-Acquah, S. F. & The SickleGenAfrica Network. Lancet Glob Health 8, e1255–e1256 (2020).
Marnetto, D. et al. Nat. Commun. 11, 628 (2020).
Choi, S. W., Mak, T. S. & O’Reilly, P. F. Nat. Protoc. 15, 2759–2772 (2020).
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
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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
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DOI: https://doi.org/10.1038/s41588-022-01074-3
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