Polymorphisms in ACE1, TMPRSS2, IFIH1, IFNAR2, and TYK2 genes are associated with worse clinical outcomes in COVID-19
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/265579 |
Resumo: | Although advanced age, male sex, and some comorbidities impact the clinical course of COVID-19, these factors only partially explain the inter-individual variability in disease severity. Some studies have shown that genetic polymorphisms contribute to COVID-19 severity; however, the results are inconclusive. Thus, we investigated the association between polymorphisms in ACE1, ACE2, DPP9, IFIH1, IFNAR2, IFNL4, TLR3, TMPRSS2, and TYK2 and the clinical course of COVID-19. A total of 694 patients with COVID-19 were categorized as: (1) ward inpatients (moderate symptoms) or patients admitted at the intensive care unit (ICU; severe symptoms); and (2) survivors or non-survivors. In females, the rs1990760/IFIH1 T/T genotype was associated with risk of ICU admission and death. Moreover, the rs1799752/ACE1 Ins and rs12329760/TMPRSS2 T alleles were associated with risk of ICU admission. In non-white patients, the rs2236757/IFNAR2 A/A genotype was associated with risk of ICU admission, while the rs1799752/ACE1 Ins/Ins genotype, rs2236757/IFNAR2 A/A genotype, and rs12329760/TMPRSS2 T allele were associated with risk of death. Moreover, some of the analyzed polymorphisms interact in the risk of worse COVID19 outcomes. In conclusion, this study shows an association of rs1799752/ACE1, rs1990760/IFIH1, rs2236757/IFNAR2, rs12329760/TMPRSS2, and rs2304256/TYK2 polymorphisms with worse COVID19 outcomes, especially among female and non-white patients. |
id |
UFRGS-2_7f6926a7a2a385a7694c3a7bc2fe8940 |
---|---|
oai_identifier_str |
oai:www.lume.ufrgs.br:10183/265579 |
network_acronym_str |
UFRGS-2 |
network_name_str |
Repositório Institucional da UFRGS |
repository_id_str |
|
spelling |
Dieter, CristineBrondani, Letícia de AlmeidaLemos, Natália EmerimSchaeffer, Ariell FreiresBoeckel, Caroline Zanotto deRamos, Denise TaurinoGirardi, EliandraPellenz, Felipe MateusCamargo, Joiza LinsMoresco, Karla SuzanaSilva, Lucas Lima daAubin, Mariana RaubackOliveira, Mayara Souza deRech, Tatiana HelenaCanani, Luis Henrique SantosGerchman, FernandoLeitão, Cristiane BauermannCrispim, Daisy2023-10-03T03:35:36Z20232073-4425http://hdl.handle.net/10183/265579001173168Although advanced age, male sex, and some comorbidities impact the clinical course of COVID-19, these factors only partially explain the inter-individual variability in disease severity. Some studies have shown that genetic polymorphisms contribute to COVID-19 severity; however, the results are inconclusive. Thus, we investigated the association between polymorphisms in ACE1, ACE2, DPP9, IFIH1, IFNAR2, IFNL4, TLR3, TMPRSS2, and TYK2 and the clinical course of COVID-19. A total of 694 patients with COVID-19 were categorized as: (1) ward inpatients (moderate symptoms) or patients admitted at the intensive care unit (ICU; severe symptoms); and (2) survivors or non-survivors. In females, the rs1990760/IFIH1 T/T genotype was associated with risk of ICU admission and death. Moreover, the rs1799752/ACE1 Ins and rs12329760/TMPRSS2 T alleles were associated with risk of ICU admission. In non-white patients, the rs2236757/IFNAR2 A/A genotype was associated with risk of ICU admission, while the rs1799752/ACE1 Ins/Ins genotype, rs2236757/IFNAR2 A/A genotype, and rs12329760/TMPRSS2 T allele were associated with risk of death. Moreover, some of the analyzed polymorphisms interact in the risk of worse COVID19 outcomes. In conclusion, this study shows an association of rs1799752/ACE1, rs1990760/IFIH1, rs2236757/IFNAR2, rs12329760/TMPRSS2, and rs2304256/TYK2 polymorphisms with worse COVID19 outcomes, especially among female and non-white patients.application/pdfengGenes. Basel. Vol. 14, no. 1 (2023), artigo 19, 21 p.SARS-CoV-2COVID-19Polimorfismo genéticoFatores de riscoPrognósticoGenesMortalidadeUnidades de terapia intensivaCuidados críticosGenótipoMortalidadePolymorphismsACE1IFIH1IFNAR2TMPRSS2TYK2Polymorphisms in ACE1, TMPRSS2, IFIH1, IFNAR2, and TYK2 genes are associated with worse clinical outcomes in COVID-19Estrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001173168.pdf.txt001173168.pdf.txtExtracted Texttext/plain75826http://www.lume.ufrgs.br/bitstream/10183/265579/2/001173168.pdf.txtc14a39176e02143f1ceb590be1718d00MD52ORIGINAL001173168.pdfTexto completo (inglês)application/pdf372397http://www.lume.ufrgs.br/bitstream/10183/265579/1/001173168.pdfab5229bb1595a07182ded8c2ca333db7MD5110183/2655792023-12-21 04:31:11.569541oai:www.lume.ufrgs.br:10183/265579Repositório InstitucionalPUBhttps://lume.ufrgs.br/oai/requestlume@ufrgs.bropendoar:2023-12-21T06:31:11Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Polymorphisms in ACE1, TMPRSS2, IFIH1, IFNAR2, and TYK2 genes are associated with worse clinical outcomes in COVID-19 |
title |
Polymorphisms in ACE1, TMPRSS2, IFIH1, IFNAR2, and TYK2 genes are associated with worse clinical outcomes in COVID-19 |
spellingShingle |
Polymorphisms in ACE1, TMPRSS2, IFIH1, IFNAR2, and TYK2 genes are associated with worse clinical outcomes in COVID-19 Dieter, Cristine SARS-CoV-2 COVID-19 Polimorfismo genético Fatores de risco Prognóstico Genes Mortalidade Unidades de terapia intensiva Cuidados críticos Genótipo Mortalidade Polymorphisms ACE1 IFIH1 IFNAR2 TMPRSS2 TYK2 |
title_short |
Polymorphisms in ACE1, TMPRSS2, IFIH1, IFNAR2, and TYK2 genes are associated with worse clinical outcomes in COVID-19 |
title_full |
Polymorphisms in ACE1, TMPRSS2, IFIH1, IFNAR2, and TYK2 genes are associated with worse clinical outcomes in COVID-19 |
title_fullStr |
Polymorphisms in ACE1, TMPRSS2, IFIH1, IFNAR2, and TYK2 genes are associated with worse clinical outcomes in COVID-19 |
title_full_unstemmed |
Polymorphisms in ACE1, TMPRSS2, IFIH1, IFNAR2, and TYK2 genes are associated with worse clinical outcomes in COVID-19 |
title_sort |
Polymorphisms in ACE1, TMPRSS2, IFIH1, IFNAR2, and TYK2 genes are associated with worse clinical outcomes in COVID-19 |
author |
Dieter, Cristine |
author_facet |
Dieter, Cristine Brondani, Letícia de Almeida Lemos, Natália Emerim Schaeffer, Ariell Freires Boeckel, Caroline Zanotto de Ramos, Denise Taurino Girardi, Eliandra Pellenz, Felipe Mateus Camargo, Joiza Lins Moresco, Karla Suzana Silva, Lucas Lima da Aubin, Mariana Rauback Oliveira, Mayara Souza de Rech, Tatiana Helena Canani, Luis Henrique Santos Gerchman, Fernando Leitão, Cristiane Bauermann Crispim, Daisy |
author_role |
author |
author2 |
Brondani, Letícia de Almeida Lemos, Natália Emerim Schaeffer, Ariell Freires Boeckel, Caroline Zanotto de Ramos, Denise Taurino Girardi, Eliandra Pellenz, Felipe Mateus Camargo, Joiza Lins Moresco, Karla Suzana Silva, Lucas Lima da Aubin, Mariana Rauback Oliveira, Mayara Souza de Rech, Tatiana Helena Canani, Luis Henrique Santos Gerchman, Fernando Leitão, Cristiane Bauermann Crispim, Daisy |
author2_role |
author author author author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Dieter, Cristine Brondani, Letícia de Almeida Lemos, Natália Emerim Schaeffer, Ariell Freires Boeckel, Caroline Zanotto de Ramos, Denise Taurino Girardi, Eliandra Pellenz, Felipe Mateus Camargo, Joiza Lins Moresco, Karla Suzana Silva, Lucas Lima da Aubin, Mariana Rauback Oliveira, Mayara Souza de Rech, Tatiana Helena Canani, Luis Henrique Santos Gerchman, Fernando Leitão, Cristiane Bauermann Crispim, Daisy |
dc.subject.por.fl_str_mv |
SARS-CoV-2 COVID-19 Polimorfismo genético Fatores de risco Prognóstico Genes Mortalidade Unidades de terapia intensiva Cuidados críticos Genótipo Mortalidade |
topic |
SARS-CoV-2 COVID-19 Polimorfismo genético Fatores de risco Prognóstico Genes Mortalidade Unidades de terapia intensiva Cuidados críticos Genótipo Mortalidade Polymorphisms ACE1 IFIH1 IFNAR2 TMPRSS2 TYK2 |
dc.subject.eng.fl_str_mv |
Polymorphisms ACE1 IFIH1 IFNAR2 TMPRSS2 TYK2 |
description |
Although advanced age, male sex, and some comorbidities impact the clinical course of COVID-19, these factors only partially explain the inter-individual variability in disease severity. Some studies have shown that genetic polymorphisms contribute to COVID-19 severity; however, the results are inconclusive. Thus, we investigated the association between polymorphisms in ACE1, ACE2, DPP9, IFIH1, IFNAR2, IFNL4, TLR3, TMPRSS2, and TYK2 and the clinical course of COVID-19. A total of 694 patients with COVID-19 were categorized as: (1) ward inpatients (moderate symptoms) or patients admitted at the intensive care unit (ICU; severe symptoms); and (2) survivors or non-survivors. In females, the rs1990760/IFIH1 T/T genotype was associated with risk of ICU admission and death. Moreover, the rs1799752/ACE1 Ins and rs12329760/TMPRSS2 T alleles were associated with risk of ICU admission. In non-white patients, the rs2236757/IFNAR2 A/A genotype was associated with risk of ICU admission, while the rs1799752/ACE1 Ins/Ins genotype, rs2236757/IFNAR2 A/A genotype, and rs12329760/TMPRSS2 T allele were associated with risk of death. Moreover, some of the analyzed polymorphisms interact in the risk of worse COVID19 outcomes. In conclusion, this study shows an association of rs1799752/ACE1, rs1990760/IFIH1, rs2236757/IFNAR2, rs12329760/TMPRSS2, and rs2304256/TYK2 polymorphisms with worse COVID19 outcomes, especially among female and non-white patients. |
publishDate |
2023 |
dc.date.accessioned.fl_str_mv |
2023-10-03T03:35:36Z |
dc.date.issued.fl_str_mv |
2023 |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/265579 |
dc.identifier.issn.pt_BR.fl_str_mv |
2073-4425 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001173168 |
identifier_str_mv |
2073-4425 001173168 |
url |
http://hdl.handle.net/10183/265579 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Genes. Basel. Vol. 14, no. 1 (2023), artigo 19, 21 p. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRGS instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
instname_str |
Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Repositório Institucional da UFRGS |
collection |
Repositório Institucional da UFRGS |
bitstream.url.fl_str_mv |
http://www.lume.ufrgs.br/bitstream/10183/265579/2/001173168.pdf.txt http://www.lume.ufrgs.br/bitstream/10183/265579/1/001173168.pdf |
bitstream.checksum.fl_str_mv |
c14a39176e02143f1ceb590be1718d00 ab5229bb1595a07182ded8c2ca333db7 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS) |
repository.mail.fl_str_mv |
lume@ufrgs.br |
_version_ |
1817725174712107008 |