Interplay between demographic, clinical and polygenic risk factors for severe COVID-19

Crossfield, SSR orcid.org/0000-0001-7337-3527, Chaddock, NJM, Iles, MM orcid.org/0000-0002-2603-6509 et al. (2 more authors) (2022) Interplay between demographic, clinical and polygenic risk factors for severe COVID-19. International Journal of Epidemiology, 51 (5). pp. 1384-1395. ISSN 0300-5771

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Item Type: Article
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© The Author(s) 2022. Published by Oxford University Press on behalf of the International Epidemiological Association. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords: COVID-19, polygenic risk score, epidemiology, risk prediction
Dates:
  • Published: October 2022
  • Published (online): 30 June 2022
  • Accepted: 13 June 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Discovery & Translational Science Dept (Leeds)
Funding Information:
Funder
Grant number
MRC (Medical Research Council) Exception
P.O. 4050781788
NIHR National Inst Health Research
BRC
NIHR National Inst Health Research
NIHR202395
Depositing User: Symplectic Publications
Date Deposited: 08 Jul 2022 14:12
Last Modified: 25 Jun 2023 23:02
Status: Published
Publisher: Oxford University Press
Identification Number: 10.1093/ije/dyac137
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Open Archives Initiative ID (OAI ID):

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