Shorter leukocyte telomere length is associated with adverse COVID-19 outcomes: a cohort study in UK Biobank
Shorter leukocyte telomere length is associated with adverse COVID-19 outcomes: a cohort study in UK Biobank
Background Older age is the most powerful risk factor for adverse coronavirus disease-19 (COVID-19) outcomes. It is uncertain whether leucocyte telomere length (LTL), previously proposed as a marker of biological age, is also associated with COVID-19 outcomes. Methods We associated LTL values obtained from participants recruited into UK Biobank (UKB) during 2006–2010 with adverse COVID-19 outcomes recorded by 30 November 2020, defined as a composite of any of the following: hospital admission, need for critical care, respiratory support, or mortality. Using information on 130 LTL-associated genetic variants, we conducted exploratory Mendelian randomisation (MR) analyses in UKB to evaluate whether observational associations might reflect cause-and-effect relationships. Findings Of 6775 participants in UKB who tested positive for infection with SARS-CoV-2 in the community, there were 914 (13.5%) with adverse COVID-19 outcomes. The odds ratio (OR) for adverse COVID-19 outcomes was 1·17 (95% CI 1·05–1·30; P = 0·004) per 1-SD shorter usual LTL, after adjustment for age, sex and ethnicity. Similar ORs were observed in analyses that: adjusted for additional risk factors; disaggregated the composite outcome and reduced the scope for selection or collider bias. In MR analyses, the OR for adverse COVID-19 outcomes was directionally concordant but non-significant. Interpretation Shorter LTL is associated with higher risk of adverse COVID-19 outcomes, independent of several major risk factors for COVID-19 including age. Further data are needed to determine whether this association reflects causality. Funding UK Medical Research Council, Biotechnology and Biological Sciences Research Council and British Heart Foundation.
Wang, Qingning
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Codd, Veryan
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Raisi-Estabragh, Zahra
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Musicha, Crispin
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Bountziouka, Vasiliki
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Kaptoge, Stephen K.
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Allara, Elias
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Di Angelantonio, Emanuele
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Butterworth, Adam S.
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Wood, Angela M.
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Thompson, John R.
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Petersen, Steffen E.
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Harvey, Nicholas
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Danesh, John N.
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Samani, Nilesh J.
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Nelson, Christopher P.
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August 2021
Wang, Qingning
f65fb117-c5fb-4c02-8bfa-8d1769854038
Codd, Veryan
18ed4108-1eb4-4702-bff1-468efae23aae
Raisi-Estabragh, Zahra
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Musicha, Crispin
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Bountziouka, Vasiliki
e27d3872-eacd-461c-a70f-31d69a833b14
Kaptoge, Stephen K.
6dcecd22-dd25-4a8b-9dc2-54c781ff8394
Allara, Elias
6da74d5d-2cb7-4a2d-a483-2a77593fa9d2
Di Angelantonio, Emanuele
40046c2c-dc6a-4232-aae1-eb971665a69a
Butterworth, Adam S.
41de379c-9caa-495d-9009-33feab4bdbb0
Wood, Angela M.
0843764d-4605-495f-9047-7af14f435d96
Thompson, John R.
12f974cd-7581-469c-8e0f-717bdb4663e6
Petersen, Steffen E.
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Harvey, Nicholas
ce487fb4-d360-4aac-9d17-9466d6cba145
Danesh, John N.
d00651c2-10c4-4ff6-ad32-cc2d7e0c2783
Samani, Nilesh J.
548b29ab-a422-4827-a9c6-5db0e6cf8ae6
Nelson, Christopher P.
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Wang, Qingning, Codd, Veryan, Raisi-Estabragh, Zahra, Musicha, Crispin, Bountziouka, Vasiliki, Kaptoge, Stephen K., Allara, Elias, Di Angelantonio, Emanuele, Butterworth, Adam S., Wood, Angela M., Thompson, John R., Petersen, Steffen E., Harvey, Nicholas, Danesh, John N., Samani, Nilesh J. and Nelson, Christopher P.
(2021)
Shorter leukocyte telomere length is associated with adverse COVID-19 outcomes: a cohort study in UK Biobank.
EBioMedicine, 70, [103485].
(doi:10.1016/j.ebiom.2021.103485).
Abstract
Background Older age is the most powerful risk factor for adverse coronavirus disease-19 (COVID-19) outcomes. It is uncertain whether leucocyte telomere length (LTL), previously proposed as a marker of biological age, is also associated with COVID-19 outcomes. Methods We associated LTL values obtained from participants recruited into UK Biobank (UKB) during 2006–2010 with adverse COVID-19 outcomes recorded by 30 November 2020, defined as a composite of any of the following: hospital admission, need for critical care, respiratory support, or mortality. Using information on 130 LTL-associated genetic variants, we conducted exploratory Mendelian randomisation (MR) analyses in UKB to evaluate whether observational associations might reflect cause-and-effect relationships. Findings Of 6775 participants in UKB who tested positive for infection with SARS-CoV-2 in the community, there were 914 (13.5%) with adverse COVID-19 outcomes. The odds ratio (OR) for adverse COVID-19 outcomes was 1·17 (95% CI 1·05–1·30; P = 0·004) per 1-SD shorter usual LTL, after adjustment for age, sex and ethnicity. Similar ORs were observed in analyses that: adjusted for additional risk factors; disaggregated the composite outcome and reduced the scope for selection or collider bias. In MR analyses, the OR for adverse COVID-19 outcomes was directionally concordant but non-significant. Interpretation Shorter LTL is associated with higher risk of adverse COVID-19 outcomes, independent of several major risk factors for COVID-19 including age. Further data are needed to determine whether this association reflects causality. Funding UK Medical Research Council, Biotechnology and Biological Sciences Research Council and British Heart Foundation.
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Covid_LTL_clean_2
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Accepted/In Press date: 23 June 2021
Published date: August 2021
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Acknowledgments
This research has been conducted using the UK Biobank Resource under Application Number 6077 and was funded by the UK Medical Research Council (MRC), Biotechnology and Biological Sciences Research Council and British Heart Foundation (BHF) through MRC grant MR/M012816/1. C.P.N is funded by the BHF (SP/16/4/32697). V.C., C.M., V.B., Q.W., C.P.N. and N.J.S. are supported by the National Institute for Health Research (NIHR) Leicester Cardiovascular Biomedical Research Centre (BRC-1215-20010). Cambridge University investigators are supported by the B.H.F (RG/13/13/30194; RG/18/13/33946), Health Data Research UK, NIHR Cambridge Biomedical Research Centre (BRC-1215-20014), NIHR Blood and Transplant Research Unit in Donor Health and Genomics (NIHR BTRU-2014-10024) and MRC (MR/L003120/1). J.D. holds a BHF Personal Professorship and NIHR Senior Investigator Award. A.M.W. and E.A. received support from the EU/EFPIA Innovative Medicines Initiative Joint Undertaking BigData@Heart (11607). Z.R.E. is supported by BHF Clinical Research Training Fellowship No. FS/17/81/33318. S.E.P. acknowledges support from the NIHR Barts Biomedical Research Centre.
Identifiers
Local EPrints ID: 450081
URI: http://eprints.soton.ac.uk/id/eprint/450081
ISSN: 2352-3964
PURE UUID: 0254e562-d82b-4245-8851-78a3e0e911cb
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Date deposited: 08 Jul 2021 16:32
Last modified: 06 Jun 2024 01:42
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Contributors
Author:
Qingning Wang
Author:
Veryan Codd
Author:
Zahra Raisi-Estabragh
Author:
Crispin Musicha
Author:
Vasiliki Bountziouka
Author:
Stephen K. Kaptoge
Author:
Elias Allara
Author:
Emanuele Di Angelantonio
Author:
Adam S. Butterworth
Author:
Angela M. Wood
Author:
John R. Thompson
Author:
Steffen E. Petersen
Author:
John N. Danesh
Author:
Nilesh J. Samani
Author:
Christopher P. Nelson
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