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10.1038/s41576-022-00478-5 http://scihub22266oqcxt.onion/10.1038/s41576-022-00478-5 35501396!9060414!35501396     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=35501396&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\35501396.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Nat+Rev+Genet 2022 ; 23 (9): 533-546 Nephropedia Template TP {{tp|p=35501396|t=2022. The human genetic epidemiology of COVID-19 |pdf=|usr=}}{{35501396}} gab.com Text The human genetic epidemiology of COVID-19 JO: Nat Rev Genet http://www.kidney.de/pget.php?&tw=1&pmid=35501396 #FOAvip Human genetics can inform the biology and epidemiology of coronavirus disease 2019 (COVID-19) by pinpointing causal mechanisms that explain why some individuals become more severely affected by the disease upon infection by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. Large-scale genetic association studies, encompassing both rare and common genetic variants, have used different study designs and multiple disease phenotype definitions to identify several genomic regions associated with COVID-19. Along with a multitude of follow-up studies, these findings have increased our understanding of disease aetiology and provided routes for management of COVID-19. Important emergent opportunities include the clinical translatability of genetic risk prediction, the repurposing of existing drugs, exploration of variable host effects of different viral strains, study of inter-individual variability in vaccination response and understanding the long-term consequences of SARS-CoV-2 infection. Beyond the current pandemic, these transferrable opportunities are likely to affect the study of many infectious diseases. Twit Text FOAVip The human genetic epidemiology of COVID-19 ????Nat Rev Genet http://www.kidney.de/pget.php?&tw=1&pmid=35501396 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35501396 #FOAvip English Wikipedia <ref>{{Cite pmid|35501396}}</ref> The human genetic epidemiology of COVID-19 #MMPMID35501396 Niemi MEK; Daly MJ; Ganna A Nat Rev Genet 2022[Sep]; 23 (9): 533-546 PMID35501396show ga Human genetics can inform the biology and epidemiology of coronavirus disease 2019 (COVID-19) by pinpointing causal mechanisms that explain why some individuals become more severely affected by the disease upon infection by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. Large-scale genetic association studies, encompassing both rare and common genetic variants, have used different study designs and multiple disease phenotype definitions to identify several genomic regions associated with COVID-19. Along with a multitude of follow-up studies, these findings have increased our understanding of disease aetiology and provided routes for management of COVID-19. Important emergent opportunities include the clinical translatability of genetic risk prediction, the repurposing of existing drugs, exploration of variable host effects of different viral strains, study of inter-individual variability in vaccination response and understanding the long-term consequences of SARS-CoV-2 infection. Beyond the current pandemic, these transferrable opportunities are likely to affect the study of many infectious diseases. |*COVID-19/epidemiology/genetics[MESH] |Humans[MESH] |Molecular Epidemiology[MESH] |Pandemics[MESH]The human genetic epidemiology of COVID-19 (epmc).pdf DeepDyve Pubget Overpricing