Tracking SARS-CoV-2 lineage B.1.1.7 dissemination: insights from nationwide spike gene target failure (SGTF) and spike gene late detection (SGTL) data, Portugal, week 49 2020 to week 3 2021

Detalhes bibliográficos
Autor(a) principal: Borges, Vítor
Data de Publicação: 2021
Outros Autores: Sousa, Carlos, Menezes, Luís, Gonçalves, António Maia, Picão, Miguel, Almeida, José Pedro, Vieita, Margarida, Santos, Rafael, Silva, Ana Rita, Costa, Mariana, Carneiro, Luís, Casaca, Pedro, Pinto-Leite, Pedro, Peralta-Santos, André, Isidro, Joana, Duarte, Sílvia, Vieira, Luís, Guiomar, Raquel, Silva, Susana, Nunes, Baltazar, Gomes, João P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.18/8056
Resumo: We show that the SARS-CoV-2 B.1.1.7 lineage is highly disseminated in Portugal, with the odds of B.1.1.7 proportion increasing at an estimated 89% (95% confidence interval: 83-95%) per week until week 3 2021. RT-PCR spike gene target late detection (SGTL) can constitute a useful surrogate to track B.1.1.7 spread, besides the spike gene target failure (SGTF) proxy. SGTL/SGTF samples were associated with statistically significant higher viral loads, but not with substantial shift in age distribution compared to non-SGTF/SGTL cases.
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spelling Tracking SARS-CoV-2 lineage B.1.1.7 dissemination: insights from nationwide spike gene target failure (SGTF) and spike gene late detection (SGTL) data, Portugal, week 49 2020 to week 3 2021B.1.1.7 LineageRT-PCRSARS-CoV-2Genome SequencingLaboratory SurveillanceSpike Gene Target Failure (SGTF)Spike Gene Target Late Detection (SGTL)Infecções RespiratóriasEstados de Saúde e de DoençaPortugalWe show that the SARS-CoV-2 B.1.1.7 lineage is highly disseminated in Portugal, with the odds of B.1.1.7 proportion increasing at an estimated 89% (95% confidence interval: 83-95%) per week until week 3 2021. RT-PCR spike gene target late detection (SGTL) can constitute a useful surrogate to track B.1.1.7 spread, besides the spike gene target failure (SGTF) proxy. SGTL/SGTF samples were associated with statistically significant higher viral loads, but not with substantial shift in age distribution compared to non-SGTF/SGTL cases.This study is partially co-funded by Fundação para a Ciência e Tecnologia and Agência de Investigação Clínica e Inovação Biomédica (234_596874175) on behalf of the Research 4 COVID-19 call. Some infrastructural resources used in this study come from GenomePT project (POCI-01-0145- FEDER-022184), supported by COMPETE 2020 - Operational Programme for Competitiveness and Internationalisation (POCI), Lisboa Portugal Regional Operational Programme (Lisboa2020), Algarve Portugal Regional Operational Programme (CRESC Algarve2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF), and by Fundação para a Ciência e a Tecnologia (FCT).European Centre for Disease Prevention and ControlRepositório Científico do Instituto Nacional de SaúdeBorges, VítorSousa, CarlosMenezes, LuísGonçalves, António MaiaPicão, MiguelAlmeida, José PedroVieita, MargaridaSantos, RafaelSilva, Ana RitaCosta, MarianaCarneiro, LuísCasaca, PedroPinto-Leite, PedroPeralta-Santos, AndréIsidro, JoanaDuarte, SílviaVieira, LuísGuiomar, RaquelSilva, SusanaNunes, BaltazarGomes, João P.2022-07-04T16:38:50Z2021-032021-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.18/8056engEuro Surveill. 2021 Mar;26(10):2100131. doi: 10.2807/1560-7917.ES.2021.26.10.21001301560-791710.2807/1560-7917.ES.2021.26.10.2100130info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-20T15:42:25Zoai:repositorio.insa.pt:10400.18/8056Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:42:50.275456Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Tracking SARS-CoV-2 lineage B.1.1.7 dissemination: insights from nationwide spike gene target failure (SGTF) and spike gene late detection (SGTL) data, Portugal, week 49 2020 to week 3 2021
title Tracking SARS-CoV-2 lineage B.1.1.7 dissemination: insights from nationwide spike gene target failure (SGTF) and spike gene late detection (SGTL) data, Portugal, week 49 2020 to week 3 2021
spellingShingle Tracking SARS-CoV-2 lineage B.1.1.7 dissemination: insights from nationwide spike gene target failure (SGTF) and spike gene late detection (SGTL) data, Portugal, week 49 2020 to week 3 2021
Borges, Vítor
B.1.1.7 Lineage
RT-PCR
SARS-CoV-2
Genome Sequencing
Laboratory Surveillance
Spike Gene Target Failure (SGTF)
Spike Gene Target Late Detection (SGTL)
Infecções Respiratórias
Estados de Saúde e de Doença
Portugal
title_short Tracking SARS-CoV-2 lineage B.1.1.7 dissemination: insights from nationwide spike gene target failure (SGTF) and spike gene late detection (SGTL) data, Portugal, week 49 2020 to week 3 2021
title_full Tracking SARS-CoV-2 lineage B.1.1.7 dissemination: insights from nationwide spike gene target failure (SGTF) and spike gene late detection (SGTL) data, Portugal, week 49 2020 to week 3 2021
title_fullStr Tracking SARS-CoV-2 lineage B.1.1.7 dissemination: insights from nationwide spike gene target failure (SGTF) and spike gene late detection (SGTL) data, Portugal, week 49 2020 to week 3 2021
title_full_unstemmed Tracking SARS-CoV-2 lineage B.1.1.7 dissemination: insights from nationwide spike gene target failure (SGTF) and spike gene late detection (SGTL) data, Portugal, week 49 2020 to week 3 2021
title_sort Tracking SARS-CoV-2 lineage B.1.1.7 dissemination: insights from nationwide spike gene target failure (SGTF) and spike gene late detection (SGTL) data, Portugal, week 49 2020 to week 3 2021
author Borges, Vítor
author_facet Borges, Vítor
Sousa, Carlos
Menezes, Luís
Gonçalves, António Maia
Picão, Miguel
Almeida, José Pedro
Vieita, Margarida
Santos, Rafael
Silva, Ana Rita
Costa, Mariana
Carneiro, Luís
Casaca, Pedro
Pinto-Leite, Pedro
Peralta-Santos, André
Isidro, Joana
Duarte, Sílvia
Vieira, Luís
Guiomar, Raquel
Silva, Susana
Nunes, Baltazar
Gomes, João P.
author_role author
author2 Sousa, Carlos
Menezes, Luís
Gonçalves, António Maia
Picão, Miguel
Almeida, José Pedro
Vieita, Margarida
Santos, Rafael
Silva, Ana Rita
Costa, Mariana
Carneiro, Luís
Casaca, Pedro
Pinto-Leite, Pedro
Peralta-Santos, André
Isidro, Joana
Duarte, Sílvia
Vieira, Luís
Guiomar, Raquel
Silva, Susana
Nunes, Baltazar
Gomes, João P.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Nacional de Saúde
dc.contributor.author.fl_str_mv Borges, Vítor
Sousa, Carlos
Menezes, Luís
Gonçalves, António Maia
Picão, Miguel
Almeida, José Pedro
Vieita, Margarida
Santos, Rafael
Silva, Ana Rita
Costa, Mariana
Carneiro, Luís
Casaca, Pedro
Pinto-Leite, Pedro
Peralta-Santos, André
Isidro, Joana
Duarte, Sílvia
Vieira, Luís
Guiomar, Raquel
Silva, Susana
Nunes, Baltazar
Gomes, João P.
dc.subject.por.fl_str_mv B.1.1.7 Lineage
RT-PCR
SARS-CoV-2
Genome Sequencing
Laboratory Surveillance
Spike Gene Target Failure (SGTF)
Spike Gene Target Late Detection (SGTL)
Infecções Respiratórias
Estados de Saúde e de Doença
Portugal
topic B.1.1.7 Lineage
RT-PCR
SARS-CoV-2
Genome Sequencing
Laboratory Surveillance
Spike Gene Target Failure (SGTF)
Spike Gene Target Late Detection (SGTL)
Infecções Respiratórias
Estados de Saúde e de Doença
Portugal
description We show that the SARS-CoV-2 B.1.1.7 lineage is highly disseminated in Portugal, with the odds of B.1.1.7 proportion increasing at an estimated 89% (95% confidence interval: 83-95%) per week until week 3 2021. RT-PCR spike gene target late detection (SGTL) can constitute a useful surrogate to track B.1.1.7 spread, besides the spike gene target failure (SGTF) proxy. SGTL/SGTF samples were associated with statistically significant higher viral loads, but not with substantial shift in age distribution compared to non-SGTF/SGTL cases.
publishDate 2021
dc.date.none.fl_str_mv 2021-03
2021-03-01T00:00:00Z
2022-07-04T16:38:50Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.18/8056
url http://hdl.handle.net/10400.18/8056
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Euro Surveill. 2021 Mar;26(10):2100131. doi: 10.2807/1560-7917.ES.2021.26.10.2100130
1560-7917
10.2807/1560-7917.ES.2021.26.10.2100130
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.publisher.none.fl_str_mv European Centre for Disease Prevention and Control
publisher.none.fl_str_mv European Centre for Disease Prevention and Control
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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