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Genetically predicted serum vitamin D and COVID-19: a Mendelian randomisation study
OBJECTIVES: To investigate causality of the association of serum vitamin D with the risk and severity of COVID-19 infection. DESIGN: Two-sample Mendelian randomisation study. SETTING: Summary data from genome-wide analyses in the population-based UK Biobank and SUNLIGHT Consortium, applied to meta-a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8098235/ https://www.ncbi.nlm.nih.gov/pubmed/34308129 http://dx.doi.org/10.1136/bmjnph-2021-000255 |
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author | Patchen, Bonnie K Clark, Andrew G Gaddis, Nathan Hancock, Dana B Cassano, Patricia A |
author_facet | Patchen, Bonnie K Clark, Andrew G Gaddis, Nathan Hancock, Dana B Cassano, Patricia A |
author_sort | Patchen, Bonnie K |
collection | PubMed |
description | OBJECTIVES: To investigate causality of the association of serum vitamin D with the risk and severity of COVID-19 infection. DESIGN: Two-sample Mendelian randomisation study. SETTING: Summary data from genome-wide analyses in the population-based UK Biobank and SUNLIGHT Consortium, applied to meta-analysed results of genome-wide analyses in the COVID-19 Host Genetics Initiative. PARTICIPANTS: 17 965 COVID-19 cases including 11 085 laboratory or physician-confirmed cases, 7885 hospitalised cases and 4336 severe respiratory cases, and 1 370 547 controls, primarily of European ancestry. EXPOSURES: Genetically predicted variation in serum vitamin D status, instrumented by genome-wide significant single nucleotide polymorphisms (SNPs) associated with serum vitamin D or risk of vitamin D deficiency/insufficiency. MAIN OUTCOME MEASURES: Susceptibility to and severity of COVID-19 infection, including severe respiratory infection and hospitalisation. RESULTS: Mendelian randomisation analysis, sufficiently powered to detect effects comparable to those seen in observational studies, provided little to no evidence for an effect of genetically predicted serum vitamin D on susceptibility to or severity of COVID-19 infection. Using SNPs in loci related to vitamin D metabolism as genetic instruments for serum vitamin D concentrations, the OR per SD higher serum vitamin D was 1.04 (95% CI 0.92 to 1.18) for any COVID-19 infection versus population controls, 1.05 (0.84 to 1.31) for hospitalised COVID-19 versus population controls, 0.96 (0.64 to 1.43) for severe respiratory COVID-19 versus population controls, 1.15 (0.99 to 1.35) for COVID-19 positive versus COVID-19 negative and 1.44 (0.75 to 2.78) for hospitalised COVID-19 versus non-hospitalised COVID-19. Results were similar in analyses using SNPs with genome-wide significant associations with serum vitamin D (ie, including SNPs in loci with no known relationship to vitamin D metabolism) and in analyses using SNPs with genome-wide significant associations with risk of vitamin D deficiency or insufficiency. CONCLUSIONS: These findings suggest that genetically predicted differences in long-term vitamin D nutritional status do not causally affect susceptibility to and severity of COVID-19 infection, and that associations observed in previous studies may have been driven by confounding. These results do not exclude the possibility of low-magnitude causal effects or causal effects of acute responses to therapeutic doses of vitamin D. |
format | Online Article Text |
id | pubmed-8098235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-80982352021-05-10 Genetically predicted serum vitamin D and COVID-19: a Mendelian randomisation study Patchen, Bonnie K Clark, Andrew G Gaddis, Nathan Hancock, Dana B Cassano, Patricia A BMJ Nutr Prev Health Original Research OBJECTIVES: To investigate causality of the association of serum vitamin D with the risk and severity of COVID-19 infection. DESIGN: Two-sample Mendelian randomisation study. SETTING: Summary data from genome-wide analyses in the population-based UK Biobank and SUNLIGHT Consortium, applied to meta-analysed results of genome-wide analyses in the COVID-19 Host Genetics Initiative. PARTICIPANTS: 17 965 COVID-19 cases including 11 085 laboratory or physician-confirmed cases, 7885 hospitalised cases and 4336 severe respiratory cases, and 1 370 547 controls, primarily of European ancestry. EXPOSURES: Genetically predicted variation in serum vitamin D status, instrumented by genome-wide significant single nucleotide polymorphisms (SNPs) associated with serum vitamin D or risk of vitamin D deficiency/insufficiency. MAIN OUTCOME MEASURES: Susceptibility to and severity of COVID-19 infection, including severe respiratory infection and hospitalisation. RESULTS: Mendelian randomisation analysis, sufficiently powered to detect effects comparable to those seen in observational studies, provided little to no evidence for an effect of genetically predicted serum vitamin D on susceptibility to or severity of COVID-19 infection. Using SNPs in loci related to vitamin D metabolism as genetic instruments for serum vitamin D concentrations, the OR per SD higher serum vitamin D was 1.04 (95% CI 0.92 to 1.18) for any COVID-19 infection versus population controls, 1.05 (0.84 to 1.31) for hospitalised COVID-19 versus population controls, 0.96 (0.64 to 1.43) for severe respiratory COVID-19 versus population controls, 1.15 (0.99 to 1.35) for COVID-19 positive versus COVID-19 negative and 1.44 (0.75 to 2.78) for hospitalised COVID-19 versus non-hospitalised COVID-19. Results were similar in analyses using SNPs with genome-wide significant associations with serum vitamin D (ie, including SNPs in loci with no known relationship to vitamin D metabolism) and in analyses using SNPs with genome-wide significant associations with risk of vitamin D deficiency or insufficiency. CONCLUSIONS: These findings suggest that genetically predicted differences in long-term vitamin D nutritional status do not causally affect susceptibility to and severity of COVID-19 infection, and that associations observed in previous studies may have been driven by confounding. These results do not exclude the possibility of low-magnitude causal effects or causal effects of acute responses to therapeutic doses of vitamin D. BMJ Publishing Group 2021-05-04 /pmc/articles/PMC8098235/ /pubmed/34308129 http://dx.doi.org/10.1136/bmjnph-2021-000255 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Patchen, Bonnie K Clark, Andrew G Gaddis, Nathan Hancock, Dana B Cassano, Patricia A Genetically predicted serum vitamin D and COVID-19: a Mendelian randomisation study |
title | Genetically predicted serum vitamin D and COVID-19: a Mendelian randomisation study |
title_full | Genetically predicted serum vitamin D and COVID-19: a Mendelian randomisation study |
title_fullStr | Genetically predicted serum vitamin D and COVID-19: a Mendelian randomisation study |
title_full_unstemmed | Genetically predicted serum vitamin D and COVID-19: a Mendelian randomisation study |
title_short | Genetically predicted serum vitamin D and COVID-19: a Mendelian randomisation study |
title_sort | genetically predicted serum vitamin d and covid-19: a mendelian randomisation study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8098235/ https://www.ncbi.nlm.nih.gov/pubmed/34308129 http://dx.doi.org/10.1136/bmjnph-2021-000255 |
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