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

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  • dc.contributor.author Camps-Vilaró, Anna
  • dc.contributor.author Degano, Irene R.
  • dc.contributor.author Elosua Llanos, Roberto
  • dc.contributor.author Subirana Cachinero, Isaac
  • dc.contributor.author Solà-Richarte, Clàudia
  • dc.contributor.author Nogués Solan, Francesc Xavier
  • dc.contributor.author Masclans Enviz, Joan Ramon
  • dc.contributor.author Güerri Fernández, Roberto
  • dc.contributor.author Marin, Judith
  • dc.contributor.author Tizón-Marcos, Helena
  • dc.contributor.author Vaquerizo Montilla, Beatriz
  • dc.contributor.author Marrugat de la Iglesia, Jaume
  • dc.date.accessioned 2024-10-25T06:09:44Z
  • dc.date.available 2024-10-25T06:09:44Z
  • dc.date.issued 2024
  • dc.description.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.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Camps-Vilaró A, Pinsach-Abuin ML, Degano IR, Ramos R, Martí-Lluch R, Elosua R, et al. Genetic characteristics involved in COVID-19 severity. The CARGENCORS case-control study and meta-analysis. J Med Virol. 2024 Feb;96(2):e29404. DOI: 10.1002/jmv.29404
  • dc.identifier.doi http://dx.doi.org/10.1002/jmv.29404
  • dc.identifier.issn 0146-6615
  • dc.identifier.uri http://hdl.handle.net/10230/68347
  • dc.language.iso eng
  • dc.publisher Wiley
  • dc.relation.ispartof J Med Virol. 2024 Feb;96(2):e29404
  • dc.rights © 2024 The Authors. Journal of Medical Virology published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
  • dc.subject.keyword COVID-19
  • dc.subject.keyword SARS-CoV-2
  • dc.subject.keyword SNVs
  • dc.subject.keyword Genetics
  • dc.subject.keyword Severity
  • dc.subject.keyword Single nucleotide variants
  • dc.title Genetic characteristics involved in COVID-19 severity. The CARGENCORS case-control study and meta-analysis
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion