Genetic polymorphisms associated with susceptibility to COVID-19 disease and severity : a systematic review and metaanalysis
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/265576 |
Resumo: | Although advanced age and presence of comorbidities significantly impact the variation observed in the clinical symptoms of COVID-19, it has been suggested that genetic variants may also be involved in the disease. Thus, the aim of this study was to perform a systematic review with meta-analysis of the literature to identify genetic polymorphisms that are likely to contribute to COVID-19 pathogenesis. Pubmed, Embase and GWAS Catalog repositories were systematically searched to retrieve articles that investigated associations between polymorphisms and COVID-19. For polymorphisms analyzed in 3 or more studies, pooled OR with 95% CI were calculated using random or fixed effect models in the Stata Software. Sixty-four eligible articles were included in this review. In total, 8 polymorphisms in 7 candidate genes and 74 alleles of the HLA loci were analyzed in 3 or more studies. The HLA-A*30 and CCR5 rs333Del alleles were associated with protection against COVID-19 infection, while the APOE rs429358C allele was associated with risk for this disease. Regarding COVID-19 severity, the HLA-A*33, ACE1 Ins, and TMPRSS2 rs12329760T alleles were associated with protection against severe forms, while the HLA-B*38, HLA-C*6, and ApoE rs429358C alleles were associated with risk for severe forms of COVID-19. In conclusion, polymorphisms in the ApoE, ACE1, TMPRSS2, CCR5, and HLA loci appear to be involved in the susceptibility to and/or severity of COVID-19. |
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Dieter, CristineBrondani, Letícia de AlmeidaLeitão, Cristiane BauermannGerchman, FernandoLemos, Natália EmerimCrispim, Daisy2023-10-03T03:35:34Z20221932-6203http://hdl.handle.net/10183/265576001173202Although advanced age and presence of comorbidities significantly impact the variation observed in the clinical symptoms of COVID-19, it has been suggested that genetic variants may also be involved in the disease. Thus, the aim of this study was to perform a systematic review with meta-analysis of the literature to identify genetic polymorphisms that are likely to contribute to COVID-19 pathogenesis. Pubmed, Embase and GWAS Catalog repositories were systematically searched to retrieve articles that investigated associations between polymorphisms and COVID-19. For polymorphisms analyzed in 3 or more studies, pooled OR with 95% CI were calculated using random or fixed effect models in the Stata Software. Sixty-four eligible articles were included in this review. In total, 8 polymorphisms in 7 candidate genes and 74 alleles of the HLA loci were analyzed in 3 or more studies. The HLA-A*30 and CCR5 rs333Del alleles were associated with protection against COVID-19 infection, while the APOE rs429358C allele was associated with risk for this disease. Regarding COVID-19 severity, the HLA-A*33, ACE1 Ins, and TMPRSS2 rs12329760T alleles were associated with protection against severe forms, while the HLA-B*38, HLA-C*6, and ApoE rs429358C alleles were associated with risk for severe forms of COVID-19. In conclusion, polymorphisms in the ApoE, ACE1, TMPRSS2, CCR5, and HLA loci appear to be involved in the susceptibility to and/or severity of COVID-19.application/pdfengPlos one. San Francisco. Vol. 17, no. 7 (July 2022), e0270627, 23 p.COVID-19Polimorfismo genéticoBiomarcadoresFatores de riscoGenesRevisão sistemáticaMetanáliseGenetic polymorphisms associated with susceptibility to COVID-19 disease and severity : a systematic review and metaanalysisEstrangeiroinfo: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:UFRGSTEXT001173202.pdf.txt001173202.pdf.txtExtracted Texttext/plain87920http://www.lume.ufrgs.br/bitstream/10183/265576/2/001173202.pdf.txtbaaa6c7e53e2fff8821eb99275140fe2MD52ORIGINAL001173202.pdfTexto completo (inglês)application/pdf1691814http://www.lume.ufrgs.br/bitstream/10183/265576/1/001173202.pdf5a233b9465baf9cd27c39317fe1e9ae0MD5110183/2655762023-10-04 03:38:34.549835oai:www.lume.ufrgs.br:10183/265576Repositório InstitucionalPUBhttps://lume.ufrgs.br/oai/requestlume@ufrgs.bropendoar:2023-10-04T06:38:34Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Genetic polymorphisms associated with susceptibility to COVID-19 disease and severity : a systematic review and metaanalysis |
title |
Genetic polymorphisms associated with susceptibility to COVID-19 disease and severity : a systematic review and metaanalysis |
spellingShingle |
Genetic polymorphisms associated with susceptibility to COVID-19 disease and severity : a systematic review and metaanalysis Dieter, Cristine COVID-19 Polimorfismo genético Biomarcadores Fatores de risco Genes Revisão sistemática Metanálise |
title_short |
Genetic polymorphisms associated with susceptibility to COVID-19 disease and severity : a systematic review and metaanalysis |
title_full |
Genetic polymorphisms associated with susceptibility to COVID-19 disease and severity : a systematic review and metaanalysis |
title_fullStr |
Genetic polymorphisms associated with susceptibility to COVID-19 disease and severity : a systematic review and metaanalysis |
title_full_unstemmed |
Genetic polymorphisms associated with susceptibility to COVID-19 disease and severity : a systematic review and metaanalysis |
title_sort |
Genetic polymorphisms associated with susceptibility to COVID-19 disease and severity : a systematic review and metaanalysis |
author |
Dieter, Cristine |
author_facet |
Dieter, Cristine Brondani, Letícia de Almeida Leitão, Cristiane Bauermann Gerchman, Fernando Lemos, Natália Emerim Crispim, Daisy |
author_role |
author |
author2 |
Brondani, Letícia de Almeida Leitão, Cristiane Bauermann Gerchman, Fernando Lemos, Natália Emerim Crispim, Daisy |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Dieter, Cristine Brondani, Letícia de Almeida Leitão, Cristiane Bauermann Gerchman, Fernando Lemos, Natália Emerim Crispim, Daisy |
dc.subject.por.fl_str_mv |
COVID-19 Polimorfismo genético Biomarcadores Fatores de risco Genes Revisão sistemática Metanálise |
topic |
COVID-19 Polimorfismo genético Biomarcadores Fatores de risco Genes Revisão sistemática Metanálise |
description |
Although advanced age and presence of comorbidities significantly impact the variation observed in the clinical symptoms of COVID-19, it has been suggested that genetic variants may also be involved in the disease. Thus, the aim of this study was to perform a systematic review with meta-analysis of the literature to identify genetic polymorphisms that are likely to contribute to COVID-19 pathogenesis. Pubmed, Embase and GWAS Catalog repositories were systematically searched to retrieve articles that investigated associations between polymorphisms and COVID-19. For polymorphisms analyzed in 3 or more studies, pooled OR with 95% CI were calculated using random or fixed effect models in the Stata Software. Sixty-four eligible articles were included in this review. In total, 8 polymorphisms in 7 candidate genes and 74 alleles of the HLA loci were analyzed in 3 or more studies. The HLA-A*30 and CCR5 rs333Del alleles were associated with protection against COVID-19 infection, while the APOE rs429358C allele was associated with risk for this disease. Regarding COVID-19 severity, the HLA-A*33, ACE1 Ins, and TMPRSS2 rs12329760T alleles were associated with protection against severe forms, while the HLA-B*38, HLA-C*6, and ApoE rs429358C alleles were associated with risk for severe forms of COVID-19. In conclusion, polymorphisms in the ApoE, ACE1, TMPRSS2, CCR5, and HLA loci appear to be involved in the susceptibility to and/or severity of COVID-19. |
publishDate |
2022 |
dc.date.issued.fl_str_mv |
2022 |
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2023-10-03T03:35:34Z |
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1932-6203 |
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001173202 |
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http://hdl.handle.net/10183/265576 |
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eng |
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Plos one. San Francisco. Vol. 17, no. 7 (July 2022), e0270627, 23 p. |
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