Academic Journal
Analysis of well-annotated next-generation sequencing data reveals increasing cases of SARS-CoV-2 reinfection with Omicron
| Τίτλος: | Analysis of well-annotated next-generation sequencing data reveals increasing cases of SARS-CoV-2 reinfection with Omicron |
|---|---|
| Συγγραφείς: | Burkholz, Scott, Rubsamen, Michael, Blankenberg, Luke, Carback, III, Richard T., Mochly-Rosen, Daria, Harris, Paul Emerson |
| Έτος έκδοσης: | 2023 |
| Συλλογή: | Columbia University: Academic Commons |
| Θεματικοί όροι: | Virus diseases, COVID-19 (Disease)--Data processing, Genetics--Data processing, High-throughput nucleotide sequencing |
| Περιγραφή: | 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. |
| Τύπος εγγράφου: | article in journal/newspaper |
| Γλώσσα: | English |
| DOI: | 10.7916/c86y-0g98 |
| Διαθεσιμότητα: | https://doi.org/10.7916/c86y-0g98 |
| Αριθμός Καταχώρησης: | edsbas.16DCD1A9 |
| Βάση Δεδομένων: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://doi.org/10.7916/c86y-0g98# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.7916/c86y-0g98 Languages: – Text: English Subjects: – SubjectFull: Virus diseases Type: general – SubjectFull: COVID-19 (Disease)--Data processing Type: general – SubjectFull: Genetics--Data processing Type: general – SubjectFull: High-throughput nucleotide sequencing Type: general Titles: – TitleFull: Analysis of well-annotated next-generation sequencing data reveals increasing cases of SARS-CoV-2 reinfection with Omicron Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Burkholz, Scott – PersonEntity: Name: NameFull: Rubsamen, Michael – PersonEntity: Name: NameFull: Blankenberg, Luke – PersonEntity: Name: NameFull: Carback, III, Richard T. – PersonEntity: Name: NameFull: Mochly-Rosen, Daria – PersonEntity: Name: NameFull: Harris, Paul Emerson IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2023 Identifiers: – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa |
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