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Use of Genomics to Track Coronavirus Disease Outbreaks, New Zealand

Real-time genomic sequencing has played a major role in tracking the global spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), contributing greatly to disease mitigation strategies. In August 2020, after having eliminated the virus, New Zealand experienced a second outbreak. Dur...

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Autores principales: Geoghegan, Jemma L., Douglas, Jordan, Ren, Xiaoyun, Storey, Matthew, Hadfield, James, Silander, Olin K., Freed, Nikki E., Jelley, Lauren, Jefferies, Sarah, Sherwood, Jillian, Paine, Shevaun, Huang, Sue, Sporle, Andrew, Baker, Michael G., Murdoch, David R., Drummond, Alexei J., Welch, David, Simpson, Colin R., French, Nigel, Holmes, Edward C., de Ligt, Joep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084492/
https://www.ncbi.nlm.nih.gov/pubmed/33900175
http://dx.doi.org/10.3201/eid2705.204579
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author Geoghegan, Jemma L.
Douglas, Jordan
Ren, Xiaoyun
Storey, Matthew
Hadfield, James
Silander, Olin K.
Freed, Nikki E.
Jelley, Lauren
Jefferies, Sarah
Sherwood, Jillian
Paine, Shevaun
Huang, Sue
Sporle, Andrew
Baker, Michael G.
Murdoch, David R.
Drummond, Alexei J.
Welch, David
Simpson, Colin R.
French, Nigel
Holmes, Edward C.
de Ligt, Joep
author_facet Geoghegan, Jemma L.
Douglas, Jordan
Ren, Xiaoyun
Storey, Matthew
Hadfield, James
Silander, Olin K.
Freed, Nikki E.
Jelley, Lauren
Jefferies, Sarah
Sherwood, Jillian
Paine, Shevaun
Huang, Sue
Sporle, Andrew
Baker, Michael G.
Murdoch, David R.
Drummond, Alexei J.
Welch, David
Simpson, Colin R.
French, Nigel
Holmes, Edward C.
de Ligt, Joep
author_sort Geoghegan, Jemma L.
collection PubMed
description Real-time genomic sequencing has played a major role in tracking the global spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), contributing greatly to disease mitigation strategies. In August 2020, after having eliminated the virus, New Zealand experienced a second outbreak. During that outbreak, New Zealand used genomic sequencing in a primary role, leading to a second elimination of the virus. We generated genomes from 78% of the laboratory-confirmed samples of SARS-CoV-2 from the second outbreak and compared them with the available global genomic data. Genomic sequencing rapidly identified that virus causing the second outbreak in New Zealand belonged to a single cluster, thus resulting from a single introduction. However, successful identification of the origin of this outbreak was impeded by substantial biases and gaps in global sequencing data. Access to a broader and more heterogenous sample of global genomic data would strengthen efforts to locate the source of any new outbreaks.
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spelling pubmed-80844922021-05-11 Use of Genomics to Track Coronavirus Disease Outbreaks, New Zealand Geoghegan, Jemma L. Douglas, Jordan Ren, Xiaoyun Storey, Matthew Hadfield, James Silander, Olin K. Freed, Nikki E. Jelley, Lauren Jefferies, Sarah Sherwood, Jillian Paine, Shevaun Huang, Sue Sporle, Andrew Baker, Michael G. Murdoch, David R. Drummond, Alexei J. Welch, David Simpson, Colin R. French, Nigel Holmes, Edward C. de Ligt, Joep Emerg Infect Dis Research Real-time genomic sequencing has played a major role in tracking the global spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), contributing greatly to disease mitigation strategies. In August 2020, after having eliminated the virus, New Zealand experienced a second outbreak. During that outbreak, New Zealand used genomic sequencing in a primary role, leading to a second elimination of the virus. We generated genomes from 78% of the laboratory-confirmed samples of SARS-CoV-2 from the second outbreak and compared them with the available global genomic data. Genomic sequencing rapidly identified that virus causing the second outbreak in New Zealand belonged to a single cluster, thus resulting from a single introduction. However, successful identification of the origin of this outbreak was impeded by substantial biases and gaps in global sequencing data. Access to a broader and more heterogenous sample of global genomic data would strengthen efforts to locate the source of any new outbreaks. Centers for Disease Control and Prevention 2021-05 /pmc/articles/PMC8084492/ /pubmed/33900175 http://dx.doi.org/10.3201/eid2705.204579 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research
Geoghegan, Jemma L.
Douglas, Jordan
Ren, Xiaoyun
Storey, Matthew
Hadfield, James
Silander, Olin K.
Freed, Nikki E.
Jelley, Lauren
Jefferies, Sarah
Sherwood, Jillian
Paine, Shevaun
Huang, Sue
Sporle, Andrew
Baker, Michael G.
Murdoch, David R.
Drummond, Alexei J.
Welch, David
Simpson, Colin R.
French, Nigel
Holmes, Edward C.
de Ligt, Joep
Use of Genomics to Track Coronavirus Disease Outbreaks, New Zealand
title Use of Genomics to Track Coronavirus Disease Outbreaks, New Zealand
title_full Use of Genomics to Track Coronavirus Disease Outbreaks, New Zealand
title_fullStr Use of Genomics to Track Coronavirus Disease Outbreaks, New Zealand
title_full_unstemmed Use of Genomics to Track Coronavirus Disease Outbreaks, New Zealand
title_short Use of Genomics to Track Coronavirus Disease Outbreaks, New Zealand
title_sort use of genomics to track coronavirus disease outbreaks, new zealand
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084492/
https://www.ncbi.nlm.nih.gov/pubmed/33900175
http://dx.doi.org/10.3201/eid2705.204579
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