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  1. Article ; Online: 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 medicine

    2021  Volume 19, Issue 1, Page(s) 72

    Abstract: ... We conducted a two-sample Mendelian randomization to clarify their role in COVID-19 risk and specific COVID-19 ... to type 2 diabetes unlikely increase the risk of COVID-19. Although our study did not indicate glycemic ... for severe COVID-19). There were no strong evidence for an association of glycemic traits in COVID-19 ...

    Abstract 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.
    MeSH term(s) Adult ; Blood Glucose/genetics ; Blood Glucose/metabolism ; COVID-19/blood ; COVID-19/epidemiology ; COVID-19/genetics ; COVID-19/pathology ; Case-Control Studies ; Critical Illness/epidemiology ; Diabetes Mellitus, Type 2/blood ; Diabetes Mellitus, Type 2/complications ; Diabetes Mellitus, Type 2/epidemiology ; Diabetes Mellitus, Type 2/genetics ; Fasting/blood ; Female ; Genetic Predisposition to Disease ; Genome-Wide Association Study ; Glycated Hemoglobin/genetics ; Glycated Hemoglobin/metabolism ; Humans ; Male ; Mendelian Randomization Analysis ; Phenotype ; Polymorphism, Single Nucleotide ; Risk Factors ; SARS-CoV-2/pathogenicity ; Severity of Illness Index
    Chemical Substances Blood Glucose ; Glycated Hemoglobin A
    Language English
    Publishing date 2021-03-24
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2131669-7
    ISSN 1741-7015 ; 1741-7015
    ISSN (online) 1741-7015
    ISSN 1741-7015
    DOI 10.1186/s12916-021-01944-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Evaluation of glycemic traits in susceptibility to COVID-19 risk

    Shiu Lun Au Yeung / Jie V Zhao / C Mary Schooling

    BMC Medicine, Vol 19, Iss 1, Pp 1-

    a Mendelian randomization study

    2021  Volume 7

    Abstract: ... by socioeconomic position. We conducted a two-sample Mendelian randomization to clarify their role in COVID-19 risk ... to type 2 diabetes unlikely increase the risk of COVID-19. Although our study did not indicate glycemic ... for severe COVID-19). There were no strong evidence for an association of glycemic traits in COVID-19 ...

    Abstract Abstract 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.
    Keywords COVID-19 ; Glucose ; Glycated hemoglobin ; Mendelian randomization ; Type 2 diabetes ; Medicine ; R
    Subject code 500
    Language English
    Publishing date 2021-03-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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