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10.1186/s12916-021-01944-3 http://scihub22266oqcxt.onion/10.1186/s12916-021-01944-3 33757497!7987511!33757497     free     free     free Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Med 2021 ; 19 (1): 72 Nephropedia Template TP {{tp|p=33757497|t=2021. Evaluation of glycemic traits in susceptibility to COVID-19 risk: a Mendelian randomization study |pdf=|usr=}}{{33757497}} gab.com Text Evaluation of glycemic traits in susceptibility to COVID-19 risk: a Mendelian randomization study JO: BMC Med http://www.kidney.de/pget.php?&tw=1&pmid=33757497 #FOAvip 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. Twit Text FOAVip Evaluation of glycemic traits in susceptibility to COVID-19 risk: a Mendelian randomization study ????BMC Med http://www.kidney.de/pget.php?&tw=1&pmid=33757497 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33757497 #FOAvip English Wikipedia <ref>{{Cite pmid|33757497}}</ref> Evaluation of glycemic traits in susceptibility to COVID-19 risk: a Mendelian randomization study #MMPMID33757497 Au Yeung SL; Zhao JV; Schooling CM BMC Med 2021[Mar]; 19 (1): 72 PMID33757497show ga 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. |*Mendelian Randomization Analysis[MESH] |Adult[MESH] |Blood Glucose/*genetics/metabolism[MESH] |COVID-19/blood/epidemiology/*genetics/pathology[MESH] |Case-Control Studies[MESH] |Critical Illness/epidemiology[MESH] |Diabetes Mellitus, Type 2/blood/complications/epidemiology/*genetics[MESH] |Fasting/blood[MESH] |Female[MESH] |Genetic Predisposition to Disease[MESH] |Genome-Wide Association Study[MESH] |Glycated Hemoglobin/*genetics/metabolism[MESH] |Humans[MESH] |Male[MESH] |Phenotype[MESH] |Polymorphism, Single Nucleotide[MESH] |Risk Factors[MESH] |SARS-CoV-2/pathogenicity[MESH]Evaluation of glycemic traits in susceptibility to COVID-19 risk: a Me(epmc).pdf DeepDyve Pubget Overpricing