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10.1093/infdis/jiaa660 http://scihub22266oqcxt.onion/10.1093/infdis/jiaa660 33083826!7797748!33083826     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       J+Infect+Dis 2021 ; 223 (1): 19-22 Nephropedia Template TP {{tp|p=33083826|t=2021. Associations Between Genetically Predicted Protein Levels and COVID-19 Severity |pdf=|usr=}}{{33083826}} gab.com Text Associations Between Genetically Predicted Protein Levels and COVID-19 Severity JO: J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=33083826 #FOAvip It is critical to identify potential causal targets for SARS-CoV-2, which may guide drug repurposing options. We assessed the associations between genetically predicted protein levels and COVID-19 severity. Leveraging data from the COVID-19 Host Genetics Initiative comparing 6492 hospitalized COVID-19 patients and 1 012 809 controls, we identified 18 proteins with genetically predicted levels to be associated with COVID-19 severity at a false discovery rate of <0.05, including 12 that showed an association even after Bonferroni correction. Of the 18 proteins, 6 showed positive associations and 12 showed inverse associations. In conclusion, we identified 18 candidate proteins for COVID-19 severity. Twit Text FOAVip Associations Between Genetically Predicted Protein Levels and COVID-19 Severity ????J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=33083826 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33083826 #FOAvip English Wikipedia <ref>{{Cite pmid|33083826}}</ref> Associations Between Genetically Predicted Protein Levels and COVID-19 Severity #MMPMID33083826 Zhu J; Wu C; Wu L J Infect Dis 2021[Jan]; 223 (1): 19-22 PMID33083826show ga It is critical to identify potential causal targets for SARS-CoV-2, which may guide drug repurposing options. We assessed the associations between genetically predicted protein levels and COVID-19 severity. Leveraging data from the COVID-19 Host Genetics Initiative comparing 6492 hospitalized COVID-19 patients and 1 012 809 controls, we identified 18 proteins with genetically predicted levels to be associated with COVID-19 severity at a false discovery rate of <0.05, including 12 that showed an association even after Bonferroni correction. Of the 18 proteins, 6 showed positive associations and 12 showed inverse associations. In conclusion, we identified 18 candidate proteins for COVID-19 severity. |*Genetic Association Studies[MESH] |Blood Proteins/*analysis[MESH] |COVID-19/*diagnosis/*genetics[MESH] |Case-Control Studies[MESH] |Humans[MESH]Associations Between Genetically Predicted Protein Levels and COVID-19(epmc).pdf DeepDyve Pubget Overpricing