A Method for Variant Agnostic Detection of SARS-CoV-2, Rapid Monitoring of Circulating Variants, and Early Detection of Emergent Variants Such as Omicron

Author:

Lai Eric1,Kennedy Emily B.2,Lozach Jean3,Hayashibara Kathleen4,Davis-Turak Jeremy3,Becker David5,Brzoska Pius4,Cassens Tyler5,Diamond Evan4,Gandhi Manoj4,Greninger Alexander L.67ORCID,Hajian Pooneh6,Leonetti Nicole A.5,Nguyen Jason M.5,O’Donovan K. M. Clair8,Peck Troy5,Ramirez Jimmy M.5,Roychoudhury Pavitra67ORCID,Sandoval Efren5,Wesselman Cassandra3,Wesselman Timothy3,White Simon5,Williams Stephen4,Wong David5,Yu Yufei8,Creager Richard S.9ORCID

Affiliation:

1. Personalized Science, Burlington, Vermont, USA

2. OOMVELT, Lakewood, Ohio, USA

3. ROSALIND, San Diego, California, USA

4. Thermo Fisher Scientific, South San Francisco, California, USA

5. Helix OpCo, San Diego, California, USA

6. University of Washington Medical Center, Seattle, Washington, USA

7. Fred Hutchinson Cancer Research Center, Seattle, Washington, USA

8. Biocomx, Dana Point, California, USA

9. Seegene Technologies, Walnut Creek, California, USA

Abstract

The rapid emergence of SARS-CoV-2 variants raised public health questions concerning the capability of diagnostic tests to detect new strains, the efficacy of vaccines, and how to map the geographical distribution of variants to understand transmission patterns and loads on healthcare resources. Next-generation sequencing (NGS) is the primary method for detecting and tracing new variants, but it is expensive, and it can take weeks before sequence data are available in public repositories.

Funder

HHS | NIH | National Institute of Biomedical Imaging and Bioengineering

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

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