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

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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Centre for Disease Prevention and Control (ECDC) 2021
Materias:
Rapid Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953529/
https://www.ncbi.nlm.nih.gov/pubmed/33706862
http://dx.doi.org/10.2807/1560-7917.ES.2021.26.10.2100130
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author 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_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_sort Borges, Vítor
collection PubMed
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.
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spelling pubmed-79535292021-03-18 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 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 Euro Surveill Rapid Communication 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. European Centre for Disease Prevention and Control (ECDC) 2021-03-11 /pmc/articles/PMC7953529/ /pubmed/33706862 http://dx.doi.org/10.2807/1560-7917.ES.2021.26.10.2100130 Text en This article is copyright of the authors or their affiliated institutions, 2021. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.
spellingShingle Rapid Communication
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
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
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_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_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
topic Rapid Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953529/
https://www.ncbi.nlm.nih.gov/pubmed/33706862
http://dx.doi.org/10.2807/1560-7917.ES.2021.26.10.2100130
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