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10.1038/s41598-020-77632-8 http://scihub22266oqcxt.onion/10.1038/s41598-020-77632-8 33257774!7704638!33257774     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2020 ; 10 (1): 20848 Nephropedia Template TP {{tp|p=33257774|t=2020. Investigation of COVID-19 comorbidities reveals genes and pathways coincident with the SARS-CoV-2 viral disease |pdf=|usr=}}{{33257774}} gab.com Text Investigation of COVID-19 comorbidities reveals genes and pathways coincident with the SARS-CoV-2 viral disease JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33257774 #FOAvip The emergence of the SARS-CoV-2 virus and subsequent COVID-19 pandemic initiated intense research into the mechanisms of action for this virus. It was quickly noted that COVID-19 presents more seriously in conjunction with other human disease conditions such as hypertension, diabetes, and lung diseases. We conducted a bioinformatics analysis of COVID-19 comorbidity-associated gene sets, identifying genes and pathways shared among the comorbidities, and evaluated current knowledge about these genes and pathways as related to current information about SARS-CoV-2 infection. We performed our analysis using GeneWeaver (GW), Reactome, and several biomedical ontologies to represent and compare common COVID-19 comorbidities. Phenotypic analysis of shared genes revealed significant enrichment for immune system phenotypes and for cardiovascular-related phenotypes, which might point to alleles and phenotypes in mouse models that could be evaluated for clues to COVID-19 severity. Through pathway analysis, we identified enriched pathways shared by comorbidity datasets and datasets associated with SARS-CoV-2 infection. Twit Text FOAVip Investigation of COVID-19 comorbidities reveals genes and pathways coincident with the SARS-CoV-2 viral disease ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33257774 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33257774 #FOAvip English Wikipedia <ref>{{Cite pmid|33257774}}</ref> Investigation of COVID-19 comorbidities reveals genes and pathways coincident with the SARS-CoV-2 viral disease #MMPMID33257774 Dolan ME; Hill DP; Mukherjee G; McAndrews MS; Chesler EJ; Blake JA Sci Rep 2020[Nov]; 10 (1): 20848 PMID33257774show ga The emergence of the SARS-CoV-2 virus and subsequent COVID-19 pandemic initiated intense research into the mechanisms of action for this virus. It was quickly noted that COVID-19 presents more seriously in conjunction with other human disease conditions such as hypertension, diabetes, and lung diseases. We conducted a bioinformatics analysis of COVID-19 comorbidity-associated gene sets, identifying genes and pathways shared among the comorbidities, and evaluated current knowledge about these genes and pathways as related to current information about SARS-CoV-2 infection. We performed our analysis using GeneWeaver (GW), Reactome, and several biomedical ontologies to represent and compare common COVID-19 comorbidities. Phenotypic analysis of shared genes revealed significant enrichment for immune system phenotypes and for cardiovascular-related phenotypes, which might point to alleles and phenotypes in mouse models that could be evaluated for clues to COVID-19 severity. Through pathway analysis, we identified enriched pathways shared by comorbidity datasets and datasets associated with SARS-CoV-2 infection. |Animals[MESH] |COVID-19/*mortality/*pathology[MESH] |Cardiovascular Diseases/epidemiology/genetics[MESH] |Comorbidity[MESH] |Computational Biology/*methods[MESH] |Cytokine Release Syndrome/mortality[MESH] |Databases, Genetic[MESH] |Diabetes Mellitus/epidemiology/genetics[MESH] |Disease Models, Animal[MESH] |Hepatitis/epidemiology/genetics[MESH] |Humans[MESH] |Kidney Diseases/epidemiology/genetics[MESH] |Lung Diseases/epidemiology/genetics[MESH] |Mice[MESH] |Respiratory Distress Syndrome/mortality[MESH] |SARS-CoV-2[MESH]Investigation of COVID-19 comorbidities reveals genes and pathways coi(epmc).pdf DeepDyve Pubget Overpricing