Bibliographic Details
| Title: |
Analysis of well-annotated next-generation sequencing data reveals increasing cases of SARS-CoV-2 reinfection with Omicron |
| Authors: |
Burkholz, Scott, Rubsamen, Michael, Blankenberg, Luke, Carback, III, Richard T., Mochly-Rosen, Daria, Harris, Paul Emerson |
| Publication Year: |
2023 |
| Collection: |
Columbia University: Academic Commons |
| Subject Terms: |
Virus diseases, COVID-19 (Disease)--Data processing, Genetics--Data processing, High-throughput nucleotide sequencing |
| Description: |
SARS-CoV-2 has extensively mutated creating variants of concern (VOC) resulting in global infection surges. The Omicron VOC reinfects individuals exposed to earlier variants of SARS-CoV-2 at a higher frequency than previously seen for non-Omicron VOC. An analysis of the sub-lineages associated with an Omicron primary infection and Omicron reinfection reveals that the incidence of Omicron-Omicron reinfections is occurring over a shorter time interval than seen after a primary infection with a non-Omicron VOC. Our analysis suggests that a single infection from SARS-CoV-2 may not generate the protective immunity required to defend against reinfections from emerging Omicron lineages. This analysis was made possible by Next-generation sequencing (NGS) of a Danish cohort with clinical metadata on both infections occurring in the same individual. We suggest that the continuation of COVID-19 NGS and inclusion of clinical metadata is necessary to ensure effective surveillance of SARS-CoV-2 genomics, assist in treatment and vaccine development, and guide public health recommendations. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.7916/c86y-0g98 |
| Availability: |
https://doi.org/10.7916/c86y-0g98 |
| Accession Number: |
edsbas.16DCD1A9 |
| Database: |
BASE |