Cargando…

Evaluation of glycemic traits in susceptibility to COVID-19 risk: a Mendelian randomization study

BACKGROUND: Observational studies suggest poorer glycemic traits and type 2 diabetes associated with coronavirus disease 2019 (COVID-19) risk although these findings could be confounded by socioeconomic position. We conducted a two-sample Mendelian randomization to clarify their role in COVID-19 ris...

Descripción completa

Detalles Bibliográficos
Autores principales: Au Yeung, Shiu Lun, Zhao, Jie V, Schooling, C Mary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987511/
https://www.ncbi.nlm.nih.gov/pubmed/33757497
http://dx.doi.org/10.1186/s12916-021-01944-3
_version_ 1783668627225968640
author Au Yeung, Shiu Lun
Zhao, Jie V
Schooling, C Mary
author_facet Au Yeung, Shiu Lun
Zhao, Jie V
Schooling, C Mary
author_sort Au Yeung, Shiu Lun
collection PubMed
description BACKGROUND: Observational studies suggest poorer glycemic traits and type 2 diabetes associated with coronavirus disease 2019 (COVID-19) risk although these findings could be confounded by socioeconomic position. We conducted a two-sample Mendelian randomization to clarify their role in COVID-19 risk and specific COVID-19 phenotypes (hospitalized and severe cases). METHOD: We identified genetic instruments for fasting glucose (n = 133,010), 2 h glucose (n = 42,854), glycated hemoglobin (n = 123,665), and type 2 diabetes (74,124 cases and 824,006 controls) from genome wide association studies and applied them to COVID-19 Host Genetics Initiative summary statistics (17,965 COVID-19 cases and 1,370,547 population controls). We used inverse variance weighting to obtain the causal estimates of glycemic traits and genetic predisposition to type 2 diabetes in COVID-19 risk. Sensitivity analyses included MR-Egger and weighted median method. RESULTS: We found genetic predisposition to type 2 diabetes was not associated with any COVID-19 phenotype (OR: 1.00 per unit increase in log odds of having diabetes, 95%CI 0.97 to 1.04 for overall COVID-19; OR: 1.02, 95%CI 0.95 to 1.09 for hospitalized COVID-19; and OR: 1.00, 95%CI 0.93 to 1.08 for severe COVID-19). There were no strong evidence for an association of glycemic traits in COVID-19 phenotypes, apart from a potential inverse association for fasting glucose albeit with wide confidence interval. CONCLUSION: We provide some genetic evidence that poorer glycemic traits and predisposition to type 2 diabetes unlikely increase the risk of COVID-19. Although our study did not indicate glycemic traits increase severity of COVID-19, additional studies are needed to verify our findings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-01944-3.
format Online
Article
Text
id pubmed-7987511
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-79875112021-03-24 Evaluation of glycemic traits in susceptibility to COVID-19 risk: a Mendelian randomization study Au Yeung, Shiu Lun Zhao, Jie V Schooling, C Mary BMC Med Research Article BACKGROUND: Observational studies suggest poorer glycemic traits and type 2 diabetes associated with coronavirus disease 2019 (COVID-19) risk although these findings could be confounded by socioeconomic position. We conducted a two-sample Mendelian randomization to clarify their role in COVID-19 risk and specific COVID-19 phenotypes (hospitalized and severe cases). METHOD: We identified genetic instruments for fasting glucose (n = 133,010), 2 h glucose (n = 42,854), glycated hemoglobin (n = 123,665), and type 2 diabetes (74,124 cases and 824,006 controls) from genome wide association studies and applied them to COVID-19 Host Genetics Initiative summary statistics (17,965 COVID-19 cases and 1,370,547 population controls). We used inverse variance weighting to obtain the causal estimates of glycemic traits and genetic predisposition to type 2 diabetes in COVID-19 risk. Sensitivity analyses included MR-Egger and weighted median method. RESULTS: We found genetic predisposition to type 2 diabetes was not associated with any COVID-19 phenotype (OR: 1.00 per unit increase in log odds of having diabetes, 95%CI 0.97 to 1.04 for overall COVID-19; OR: 1.02, 95%CI 0.95 to 1.09 for hospitalized COVID-19; and OR: 1.00, 95%CI 0.93 to 1.08 for severe COVID-19). There were no strong evidence for an association of glycemic traits in COVID-19 phenotypes, apart from a potential inverse association for fasting glucose albeit with wide confidence interval. CONCLUSION: We provide some genetic evidence that poorer glycemic traits and predisposition to type 2 diabetes unlikely increase the risk of COVID-19. Although our study did not indicate glycemic traits increase severity of COVID-19, additional studies are needed to verify our findings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-01944-3. BioMed Central 2021-03-24 /pmc/articles/PMC7987511/ /pubmed/33757497 http://dx.doi.org/10.1186/s12916-021-01944-3 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Au Yeung, Shiu Lun
Zhao, Jie V
Schooling, C Mary
Evaluation of glycemic traits in susceptibility to COVID-19 risk: a Mendelian randomization study
title Evaluation of glycemic traits in susceptibility to COVID-19 risk: a Mendelian randomization study
title_full Evaluation of glycemic traits in susceptibility to COVID-19 risk: a Mendelian randomization study
title_fullStr Evaluation of glycemic traits in susceptibility to COVID-19 risk: a Mendelian randomization study
title_full_unstemmed Evaluation of glycemic traits in susceptibility to COVID-19 risk: a Mendelian randomization study
title_short Evaluation of glycemic traits in susceptibility to COVID-19 risk: a Mendelian randomization study
title_sort evaluation of glycemic traits in susceptibility to covid-19 risk: a mendelian randomization study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987511/
https://www.ncbi.nlm.nih.gov/pubmed/33757497
http://dx.doi.org/10.1186/s12916-021-01944-3
work_keys_str_mv AT auyeungshiulun evaluationofglycemictraitsinsusceptibilitytocovid19riskamendelianrandomizationstudy
AT zhaojiev evaluationofglycemictraitsinsusceptibilitytocovid19riskamendelianrandomizationstudy
AT schoolingcmary evaluationofglycemictraitsinsusceptibilitytocovid19riskamendelianrandomizationstudy