4.6 Article

Exome-Wide Association Study Reveals Host Genetic Variants Likely Associated with the Severity of COVID-19 in Patients of European Ancestry

Journal

LIFE-BASEL
Volume 12, Issue 9, Pages -

Publisher

MDPI
DOI: 10.3390/life12091300

Keywords

COVID-19 host genetics; genetic variation in COVID-19 patients; exome-wide association study for COVID-19 patients; common genetic variants

Funding

  1. King Saud University, Riyadh, Saudi Arabia [RSP2022R436]

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Host genetic variability plays a significant role in modulating COVID-19 clinical outcomes, and common coding variants linked with COVID-19 severity have been identified. These findings enhance our understanding of the pathomechanisms underlying the COVID-19 clinical spectrum and can be utilized to improve treatment strategies in individuals of European ancestry.
Host genetic variability plays a pivotal role in modulating COVID-19 clinical outcomes. Despite the functional relevance of protein-coding regions, rare variants located here are less likely to completely explain the considerable numbers of acutely affected COVID-19 patients worldwide. Using an exome-wide association approach, with individuals of European descent, we sought to identify common coding variants linked with variation in COVID-19 severity. Herein, cohort 1 compared non-hospitalized (controls) and hospitalized (cases) individuals, and in cohort 2, hospitalized subjects requiring respiratory support (cases) were compared to those not requiring it (controls). 229 and 111 variants differed significantly between cases and controls in cohorts 1 and 2, respectively. This included FBXO34, CNTN2, and TMCC2 previously linked with COVID-19 severity using association studies. Overall, we report SNPs in 26 known and 12 novel candidate genes with strong molecular evidence implicating them in the pathophysiology of life-threatening COVID-19 and post-recovery sequelae. Of these few notable known genes include, HLA-DQB1, AHSG, ALOX5AP, MUC5AC, SMPD1, SPG7, SPEG, GAS6, and SERPINA12. These results enhance our understanding of the pathomechanisms underlying the COVID-19 clinical spectrum and may be exploited to prioritize biomarkers for predicting disease severity, as well as to improve treatment strategies in individuals of European ancestry.

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