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Genetically Predicted Serum Vitamin D and COVID-19: A Mendelian Randomization Study

OBJECTIVES: Observational studies suggest that low vitamin D levels are associated with increased risk and severity of COVID-19 infection. We used Mendelian randomization (MR) to investigate causality of the vitamin D—COVID-19 association. METHODS: We constructed a biologically plausible genetic ins...

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Autores principales: Patchen, Bonnie, Clark, Andrew, Gaddis, Nathan, Hancock, Dana, Cassano, Patricia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180643/
http://dx.doi.org/10.1093/cdn/nzab053_073
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author Patchen, Bonnie
Clark, Andrew
Gaddis, Nathan
Hancock, Dana
Cassano, Patricia
author_facet Patchen, Bonnie
Clark, Andrew
Gaddis, Nathan
Hancock, Dana
Cassano, Patricia
author_sort Patchen, Bonnie
collection PubMed
description OBJECTIVES: Observational studies suggest that low vitamin D levels are associated with increased risk and severity of COVID-19 infection. We used Mendelian randomization (MR) to investigate causality of the vitamin D—COVID-19 association. METHODS: We constructed a biologically plausible genetic instrument for serum vitamin D based on replicated genome-wide significant variants in genes related to vitamin D metabolism, and evaluated the validity of the genetic instrument in COVID-19 risk subgroups in the UK Biobank. We then performed two sample MR using publically available summary data for the association of the genetic instrument with serum vitamin D in the UK Biobank and with COVID-19 outcomes, including infection, severe respiratory infection, and hospitalization, in the COVID-19 Host Genetics Initiative. We used the inverse-variance weighted MR method for all analyses. RESULTS: We found little to no evidence for an effect of genetically predicted serum vitamin D on susceptibility to or severity of COVID-19 infection. The odds ratio per standard deviation increase in genetically predicted serum vitamin D were: 1.04 (95% confidence interval 0.92 to 1.18) for any COVID-19 infection vs. population controls, 1.05 (0.84–1.31) for hospitalized COVID-19 vs. population controls, 0.96 (0.64 to 1.43) for severe respiratory COVID-19 vs. population controls, 1.15 (0.99 to 1.35) for COVID-19 positive vs. COVID-19 negative and, 1.44 (0.75 to 2.78) for hospitalized COVID-19 vs. non-hospitalized COVID-19. Results were similar in analyses where the genetic instrument included all variants with genome-wide significant associations with serum vitamin D (i.e., including variants with no known relationship to vitamin D metabolism) and where the genetic instrument was for risk of vitamin D deficiency. CONCLUSIONS: Our results suggest that unconfounded, long-term differences in vitamin D status do not causally affect susceptibility to and severity of COVID-19 infection. These findings are consistent with results of a recently published MR study and suggest that associations seen in observational studies may be driven by confounding. Future directions include extending this work to non-European ancestry populations and high-risk populations, for example persons with comorbid disease. FUNDING SOURCES: NIDDK, NHLBI and NHGRI of the NIH.
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spelling pubmed-81806432021-06-07 Genetically Predicted Serum Vitamin D and COVID-19: A Mendelian Randomization Study Patchen, Bonnie Clark, Andrew Gaddis, Nathan Hancock, Dana Cassano, Patricia Curr Dev Nutr Nutritional Epidemiology OBJECTIVES: Observational studies suggest that low vitamin D levels are associated with increased risk and severity of COVID-19 infection. We used Mendelian randomization (MR) to investigate causality of the vitamin D—COVID-19 association. METHODS: We constructed a biologically plausible genetic instrument for serum vitamin D based on replicated genome-wide significant variants in genes related to vitamin D metabolism, and evaluated the validity of the genetic instrument in COVID-19 risk subgroups in the UK Biobank. We then performed two sample MR using publically available summary data for the association of the genetic instrument with serum vitamin D in the UK Biobank and with COVID-19 outcomes, including infection, severe respiratory infection, and hospitalization, in the COVID-19 Host Genetics Initiative. We used the inverse-variance weighted MR method for all analyses. RESULTS: We found little to no evidence for an effect of genetically predicted serum vitamin D on susceptibility to or severity of COVID-19 infection. The odds ratio per standard deviation increase in genetically predicted serum vitamin D were: 1.04 (95% confidence interval 0.92 to 1.18) for any COVID-19 infection vs. population controls, 1.05 (0.84–1.31) for hospitalized COVID-19 vs. population controls, 0.96 (0.64 to 1.43) for severe respiratory COVID-19 vs. population controls, 1.15 (0.99 to 1.35) for COVID-19 positive vs. COVID-19 negative and, 1.44 (0.75 to 2.78) for hospitalized COVID-19 vs. non-hospitalized COVID-19. Results were similar in analyses where the genetic instrument included all variants with genome-wide significant associations with serum vitamin D (i.e., including variants with no known relationship to vitamin D metabolism) and where the genetic instrument was for risk of vitamin D deficiency. CONCLUSIONS: Our results suggest that unconfounded, long-term differences in vitamin D status do not causally affect susceptibility to and severity of COVID-19 infection. These findings are consistent with results of a recently published MR study and suggest that associations seen in observational studies may be driven by confounding. Future directions include extending this work to non-European ancestry populations and high-risk populations, for example persons with comorbid disease. FUNDING SOURCES: NIDDK, NHLBI and NHGRI of the NIH. Oxford University Press 2021-06-07 /pmc/articles/PMC8180643/ http://dx.doi.org/10.1093/cdn/nzab053_073 Text en Copyright © The Author(s) on behalf of the American Society for Nutrition 2021. https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_modelThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
spellingShingle Nutritional Epidemiology
Patchen, Bonnie
Clark, Andrew
Gaddis, Nathan
Hancock, Dana
Cassano, Patricia
Genetically Predicted Serum Vitamin D and COVID-19: A Mendelian Randomization Study
title Genetically Predicted Serum Vitamin D and COVID-19: A Mendelian Randomization Study
title_full Genetically Predicted Serum Vitamin D and COVID-19: A Mendelian Randomization Study
title_fullStr Genetically Predicted Serum Vitamin D and COVID-19: A Mendelian Randomization Study
title_full_unstemmed Genetically Predicted Serum Vitamin D and COVID-19: A Mendelian Randomization Study
title_short Genetically Predicted Serum Vitamin D and COVID-19: A Mendelian Randomization Study
title_sort genetically predicted serum vitamin d and covid-19: a mendelian randomization study
topic Nutritional Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180643/
http://dx.doi.org/10.1093/cdn/nzab053_073
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