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J Med Virol . Genetic characteristics involved in COVID-19 severity. The CARGENCORS case-control study and meta-analysis

tetano

Editor, Senior Moderator
J Med Virol


. 2024 Feb;96(2):e29404.
doi: 10.1002/jmv.29404. Genetic characteristics involved in COVID-19 severity. The CARGENCORS case-control study and meta-analysis

Anna Camps-Vilaró[SUP] 1 2 3 [/SUP], Mel Lina Pinsach-Abuin[SUP] 4 [/SUP], Irene R Degano[SUP] 1 2 5 6 [/SUP], Rafel Ramos[SUP] 7 8 9 10 [/SUP], Ruth Martí-Lluch[SUP] 8 9 [/SUP], Roberto Elosua[SUP] 2 5 11 [/SUP], Isaac Subirana[SUP] 2 11 [/SUP], Clàudia Solà-Richarte[SUP] 1 [/SUP], Marta Puigmulé[SUP] 2 [/SUP], Alexandra Pérez[SUP] 4 [/SUP], Ingrid Vilaró[SUP] 12 [/SUP], Raquel Cruz[SUP] 13 14 [/SUP], Silvia Diz-de Almeida[SUP] 13 14 [/SUP], Xavier Nogues[SUP] 15 16 17 18 [/SUP], Joan R Masclans[SUP] 19 20 21 [/SUP], Roberto Güerri-Fernández[SUP] 18 22 23 [/SUP], Judith Marin[SUP] 19 20 [/SUP], Helena Tizon-Marcos[SUP] 2 24 25 [/SUP], Beatriz Vaquerizo[SUP] 2 18 24 25 [/SUP], Ramon Brugada[SUP] 2 4 7 26 [/SUP], Jaume Marrugat[SUP] 1 2 [/SUP]



Affiliations
Abstract

Pre-existing coronary artery disease (CAD), and thrombotic, inflammatory, or virus infectivity response phenomena have been associated with COVID-19 disease severity. However, the association of candidate single nucleotide variants (SNVs) related to mechanisms of COVID-19 complications has been seldom analysed. Our aim was to test and validate the effect of candidate SNVs on COVID-19 severity. CARGENCORS (CARdiovascular GENetic risk score for Risk Stratification of patients positive for SARS-CoV-2 [COVID-19] virus) is an age- and sex-matched case-control study with 818 COVID-19 cases hospitalized with hypoxemia, and 1636 controls with COVID-19 treated at home. The association between severity and SNVs related to CAD (n = 32), inflammation (n = 19), thrombosis (n = 14), virus infectivity (n = 11), and two published to be related to COVID-19 severity was tested with adjusted logistic regression models. Two external independent cohorts were used for meta-analysis (SCOURGE and UK Biobank). After adjustment for potential confounders, 14 new SNVs were associated with COVID-19 severity in the CARGENCORS Study. These SNVs were related to CAD (n = 10), thrombosis (n = 2), and inflammation (n = 2). We also confirmed eight SNVs previously related to severe COVID-19 and virus infectivity. The meta-analysis showed five SNVs associated with severe COVID-19 in adjusted analyses (rs11385942, rs1561198, rs6632704, rs6629110, and rs12329760). We identified 14 novel SNVs and confirmed eight previously related to COVID-19 severity in the CARGENCORS data. In the meta-analysis, five SNVs were significantly associated to COVID-19 severity, one of them previously related to CAD.

Keywords: COVID-19; SARS-CoV-2; SNVs; genetics; severity; single nucleotide variants.

 
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