tetano
Editor, Senior Moderator
Emerg Infect Dis
. 2023 Apr 13;29(5).
doi: 10.3201/eid2905.221646. Online ahead of print.
US National Institutes of Health Prioritization of SARS-CoV-2 Variants
Sam Turner, Arghavan Alisoltani, Debbie Bratt, Liel Cohen-Lavi, Bethany L Dearlove, Christian Drosten, Will M Fischer, Ron A M Fouchier, Ana Silvia Gonzalez-Reiche, Lukasz Jaroszewski, Zain Khalil, Eric LeGresley, Marc Johnson, Terry C Jones, Barbara Mühlemann, David O'Connor, Mayya Sedova, Maulik Shukla, James Theiler, Zachary S Wallace, Hyejin Yoon, Yun Zhang, Harm van Bakel, Marciela M Degrace, Elodie Ghedin, Adam Godzik, Tomer Hertz, Bette Korber, Jacob Lemieux, Anna M Niewiadomska, Diane J Post, Morgane Rolland, Richard Scheuermann, Derek J Smith
Abstract
Since late 2020, SARS-CoV-2 variants have regularly emerged with competitive and phenotypic differences from previously circulating strains, sometimes with the potential to escape from immunity produced by prior exposure and infection. The Early Detection group is one of the constituent groups of the US National Institutes of Health National Institute of Allergy and Infectious Diseases SARS-CoV-2 Assessment of Viral Evolution program. The group uses bioinformatic methods to monitor the emergence, spread, and potential phenotypic properties of emerging and circulating strains to identify the most relevant variants for experimental groups within the program to phenotypically characterize. Since April 2021, the group has prioritized variants monthly. Prioritization successes include rapidly identifying most major variants of SARS-CoV-2 and providing experimental groups within the National Institutes of Health program easy access to regularly updated information on the recent evolution and epidemiology of SARS-CoV-2 that can be used to guide phenotypic investigations.
Keywords: 2019 novel coronavirus disease; COVID-19; SARS-CoV-2; SARS-CoV-2 variants; US National Institute of Allergy and Infectious Diseases; US National Institutes of Health; computational biology; coronavirus disease; epidemiological monitoring; epidemiology; pandemic prevention and control; respiratory infections; severe acute respiratory syndrome coronavirus 2; viruses; zoonoses.
. 2023 Apr 13;29(5).
doi: 10.3201/eid2905.221646. Online ahead of print.
US National Institutes of Health Prioritization of SARS-CoV-2 Variants
Sam Turner, Arghavan Alisoltani, Debbie Bratt, Liel Cohen-Lavi, Bethany L Dearlove, Christian Drosten, Will M Fischer, Ron A M Fouchier, Ana Silvia Gonzalez-Reiche, Lukasz Jaroszewski, Zain Khalil, Eric LeGresley, Marc Johnson, Terry C Jones, Barbara Mühlemann, David O'Connor, Mayya Sedova, Maulik Shukla, James Theiler, Zachary S Wallace, Hyejin Yoon, Yun Zhang, Harm van Bakel, Marciela M Degrace, Elodie Ghedin, Adam Godzik, Tomer Hertz, Bette Korber, Jacob Lemieux, Anna M Niewiadomska, Diane J Post, Morgane Rolland, Richard Scheuermann, Derek J Smith
- PMID: 37054986
- DOI: 10.3201/eid2905.221646
Abstract
Since late 2020, SARS-CoV-2 variants have regularly emerged with competitive and phenotypic differences from previously circulating strains, sometimes with the potential to escape from immunity produced by prior exposure and infection. The Early Detection group is one of the constituent groups of the US National Institutes of Health National Institute of Allergy and Infectious Diseases SARS-CoV-2 Assessment of Viral Evolution program. The group uses bioinformatic methods to monitor the emergence, spread, and potential phenotypic properties of emerging and circulating strains to identify the most relevant variants for experimental groups within the program to phenotypically characterize. Since April 2021, the group has prioritized variants monthly. Prioritization successes include rapidly identifying most major variants of SARS-CoV-2 and providing experimental groups within the National Institutes of Health program easy access to regularly updated information on the recent evolution and epidemiology of SARS-CoV-2 that can be used to guide phenotypic investigations.
Keywords: 2019 novel coronavirus disease; COVID-19; SARS-CoV-2; SARS-CoV-2 variants; US National Institute of Allergy and Infectious Diseases; US National Institutes of Health; computational biology; coronavirus disease; epidemiological monitoring; epidemiology; pandemic prevention and control; respiratory infections; severe acute respiratory syndrome coronavirus 2; viruses; zoonoses.