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Antigen test swabs are comparable to nasopharyngeal swabs for sequencing of SARS-CoV-2
Sayf Al-Deen Hassouneh; Alexa Trujillo; Sobur Ali; Eleonora Cella; Catherine G Johnston; Katherine C DeRuff; Pardis C Sabeti; Taj Azarian.
Affiliation
  • Sayf Al-Deen Hassouneh; University of Central Florida, Orlando, FL
  • Alexa Trujillo; University of Central Florida, Orlando, FL
  • Sobur Ali; University of Central Florida, Orlando, FL
  • Eleonora Cella; University of Central Florida, Orlando, FL
  • Catherine G Johnston; University of Central Florida, Orlando, FL
  • Katherine C DeRuff; 2Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
  • Pardis C Sabeti; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
  • Taj Azarian; University of Central Florida, Orlando, FL
Preprint in English | medRxiv | ID: ppmedrxiv-22276150
ABSTRACT
Viral genomic surveillance has been integral in the global response to the SARS-CoV-2 pandemic. Surveillance efforts rely on the availability of representative clinical specimens from ongoing testing activities. However, testing practices have recently shifted due to the widespread availability and use of rapid antigen tests, which could lead to gaps in future monitoring efforts. As such, genomic surveillance strategies must adapt to include laboratory workflows that are robust to sample type. To that end, we compare the results of RT-qPCR and viral genome sequencing using samples from positive BinaxNOW COVID-19 Antigen Card swabs (N=555) to those obtained from previously collected nasopharyngeal (NP) swabs used for nucleic acid amplification testing (N=135). We show that swabs obtained from antigen cards are comparable in performance to clinical excess samples from NP swabs, providing a viable alternative. This validation permits the reliable expansion of viral genomic surveillance to cases identified in the clinic or home setting where rapid antigen tests are used.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study Language: English Year: 2022 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study Language: English Year: 2022 Document type: Preprint
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