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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 1 2 3 , Mel Lina Pinsach-Abuin 4 , Irene R Degano 1 2 5 6 , Rafel Ramos 7 8 9 10 , Ruth Martí-Lluch 8 9 , Roberto Elosua 2 5 11 , Isaac Subirana 2 11 , Clàudia Solà-Richarte 1 , Marta Puigmulé 2 , Alexandra Pérez 4 , Ingrid Vilaró 12 , Raquel Cruz 13 14 , Silvia Diz-de Almeida 13 14 , Xavier Nogues 15 16 17 18 , Joan R Masclans 19 20 21 , Roberto Güerri-Fernández 18 22 23 , Judith Marin 19 20 , Helena Tizon-Marcos 2 24 25 , Beatriz Vaquerizo 2 18 24 25 , Ramon Brugada 2 4 7 26 , Jaume Marrugat 1 2
Affiliations
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.
. 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 1 2 3 , Mel Lina Pinsach-Abuin 4 , Irene R Degano 1 2 5 6 , Rafel Ramos 7 8 9 10 , Ruth Martí-Lluch 8 9 , Roberto Elosua 2 5 11 , Isaac Subirana 2 11 , Clàudia Solà-Richarte 1 , Marta Puigmulé 2 , Alexandra Pérez 4 , Ingrid Vilaró 12 , Raquel Cruz 13 14 , Silvia Diz-de Almeida 13 14 , Xavier Nogues 15 16 17 18 , Joan R Masclans 19 20 21 , Roberto Güerri-Fernández 18 22 23 , Judith Marin 19 20 , Helena Tizon-Marcos 2 24 25 , Beatriz Vaquerizo 2 18 24 25 , Ramon Brugada 2 4 7 26 , Jaume Marrugat 1 2
Affiliations
- PMID: 38293834
- DOI: 10.1002/jmv.29404
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.