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Thank you for visiting nature. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser or turn off compatibility mode in Internet Explorer. In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. An Author Correction to this article was published on 11 July Critical illness in COVID is an extreme and clinically homogeneous disease phenotype that we have previously shown 1 to be highly efficient for discovery of genetic associations 2.
Despite the advanced stage of illness at presentation, we have shown that host genetics in patients who are critically ill with COVID can identify immunomodulatory therapies with strong beneficial effects in this group 3. We find 49 genome-wide significant associations, of which 16 have not been reported previously.
To investigate the therapeutic implications of these findings, we infer the structural consequences of protein-coding variants, and combine our GWAS results with gene expression data using a monocyte transcriptome-wide association study TWAS model, as well as gene and protein expression using Mendelian randomization. The design of the GenOMICC study and the rationale for focusing on critical illness has been previously described 1 , 2.
In brief, patients with confirmed COVID requiring continuous cardiorespiratory monitoring or organ support a generalizable definition for critical illness were recruited in — We first performed ancestry-specific GWAS analyses according to the methods that we described previously 1 , 2.
