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10.1016/j.isci.2021.102550 http://scihub22266oqcxt.onion/10.1016/j.isci.2021.102550 34027315!8129787!34027315     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34027315&cmd=llinks): Failed to open stream: HTTP request failed! 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Phenome-wide and expression quantitative trait locus associations of coronavirus disease 2019 genetic risk loci |pdf=|usr=}}{{34027315}} gab.com Text Phenome-wide and expression quantitative trait locus associations of coronavirus disease 2019 genetic risk loci JO: iScience http://www.kidney.de/pget.php?&tw=1&pmid=34027315 #FOAvip While several genes and clinical traits have been associated with higher risk of severe coronavirus disease 2019 (COVID-19), how host genetic variants may interact with these parameters and contribute to severe disease is still unclear. Herein, we performed phenome-wide association study, tissue and immune-cell-specific expression quantitative trait locus (eQTL)/splicing quantitative trait locus, and colocalization analyses for genetic risk loci suggestively associated with severe COVID-19 with respiratory failure. Thirteen phenotypes/traits were associated with the severe COVID-19-associated loci at the genome-wide significance threshold, including monocyte counts, fat metabolism traits, and fibrotic idiopathic interstitial pneumonia. In addition, we identified tissue and immune subtype-specific eQTL associations affecting 48 genes, including several ones that may directly impact host immune responses, colocalized with the severe COVID-19 genome-wide association study associations, and showed altered expression in single-cell transcriptomes. Collectively, our work demonstrates that host genetic variations associated with multiple genes and traits show genetic pleiotropy with severe COVID-19 and may inform disease etiology. Twit Text FOAVip Phenome-wide and expression quantitative trait locus associations of coronavirus disease 2019 genetic risk loci ????iScience http://www.kidney.de/pget.php?&tw=1&pmid=34027315 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34027315 #FOAvip English Wikipedia <ref>{{Cite pmid|34027315}}</ref> Phenome-wide and expression quantitative trait locus associations of coronavirus disease 2019 genetic risk loci #MMPMID34027315 Moon CY; Schilder BM; Raj T; Huang KL iScience 2021[Jun]; 24 (6): 102550 PMID34027315show ga While several genes and clinical traits have been associated with higher risk of severe coronavirus disease 2019 (COVID-19), how host genetic variants may interact with these parameters and contribute to severe disease is still unclear. Herein, we performed phenome-wide association study, tissue and immune-cell-specific expression quantitative trait locus (eQTL)/splicing quantitative trait locus, and colocalization analyses for genetic risk loci suggestively associated with severe COVID-19 with respiratory failure. Thirteen phenotypes/traits were associated with the severe COVID-19-associated loci at the genome-wide significance threshold, including monocyte counts, fat metabolism traits, and fibrotic idiopathic interstitial pneumonia. In addition, we identified tissue and immune subtype-specific eQTL associations affecting 48 genes, including several ones that may directly impact host immune responses, colocalized with the severe COVID-19 genome-wide association study associations, and showed altered expression in single-cell transcriptomes. Collectively, our work demonstrates that host genetic variations associated with multiple genes and traits show genetic pleiotropy with severe COVID-19 and may inform disease etiology. äPhenome-wide and expression quantitative trait locus associations of c(epmc).pdf DeepDyve Pubget Overpricing