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
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , |
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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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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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) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799132174688976896 |