The DOI matches its Crossref record.
Where did ‘weird’ Omicron come from?
Abstract
but WHO skipped the letters Nu and Xi, it said, “because Nu is too easily confounded with ‘new’ and Xi was not used because it is a common surname.”) One reason for concern about Omicron is that sequenced samples indicate it has rapidly replaced other variants in South Africa. But that picture might be skewed. For one, sequencing might have been focused on possible cases of the new variant in recent days, which could make it appear more frequent than it is. PCR data provide broader coverage and a less biased view, but there, too, samples with the S gene failure indicate a rapid rise of Omicron. The rising frequency could still be due in part to chance. In San Diego, a series of superspreading events at a university resulted in an explosion of one particular strain of SARS-CoV-2 earlier this year, Andersen says: “It was thousands of cases and they were all the same virus.” But the virus wasn’t notably more infectious. South Africa has seen relatively few cases recently, so a series of superspreading events could have led to the rapid increase of Omicron. “I suspect that a lot of that signal is explained by that and I desperately hope so,” Andersen says. Based on a comparison of different Omicron genomes, Andersen estimates the virus emerged sometime around late September or early October, which suggests it might be spreading more slowly than it appears to have. The other reason to be concerned is Omicron’s confusing genome. Its spike protein, which latches on to receptors on h…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“While there are different hypotheses addressing the evolutionary origins of Omicron BA.1's emergence and this variant's unusual number of mutations 25 , the rising level of SARS-CoV-2 exposure in South Africa in 2020-2021 would be expected to promote the fitness advantage of immune escape variants over earlier variants.”
From Rapidly shifting immunologic landscape and severity of SARS-CoV-2 in the Omicron era in South Africa (2023) · cites this paper as [25]
Citations
Cited by
Sorted by citations
Broadly neutralizing antibodies overcome SARS-CoV-2 Omicron antigenic shift
Cameroni, E., Bowen, J. E., Rosen, L. E., Saliba, C., Zepeda, S. K., Culap, K., Pinto, D., VanBlargan, L. A., Marco, A. D., di Iulio, J., et al. (2021) · Nature · doi:10.1038/s41586-021-04386-2 · Cited by 1,070
Hoffmann, M., Krüger, N., Schulz, S., Cossmann, A., Rocha, C., Kempf, A., Nehlmeier, I., Graichen, L., Moldenhauer, A.-S., Winkler, M. S., et al. (2022) · Cell · doi:10.1016/j.cell.2021.12.032 · Cited by 889
“Analysis of the Omicron genomic sequence 105 revealed striking differences as compared to other known SARS-CoV-2 variants, suggesting 106 extensive, independent evolution, potentially in an isolated human population, 107 immunocompromised patients or an unknown animal species (Kupferschmidt, 2021).”
SARS-CoV-2 Omicron variant: recent progress and future perspectives
Fan, Y., Li, X., Zhang, L., Wan, S., Zhang, L., & Zhou, F. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-00997-x · Cited by 599
SARS‐CoV‐2 Omicron variant: Characteristics and prevention
He, X., Hong, W., Pan, X., Lu, G., & Wei, X. (2021) · MedComm · doi:10.1002/mco2.110 · Cited by 513
Shrestha, L. B., Foster, C. S. P., Rawlinson, W. D., Tedla, N. T., & Bull, R. A. (2022) · Reviews in Medical Virology · doi:10.1002/rmv.2381 · Cited by 483
“Phylogenetic analysis of global SARS‐CoV‐2 sequences has not revealed any close intermediary sequences between Omicron and its closest relatives, therefore the pathway to the emergence of Omicron is unclear.30 The evolu- tionary analysis did not reveal any special mutational profile or frameshift event that could sugg…”
BackgroundInfluential
Metadata
- Authors
- Kupferschmidt, K.
- Corresponding author
- Kupferschmidt, Kai
- Venue
- Science
- Published
- 2021-12-03
- Volume
- 374
- Issue
- 6572
- Pages
- 1179-1179
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W3215456302
- Cited by
- 154
- References
- 0
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 14 · 2023: 30 · 2022: 86 · 2021: 17
- FWCI
- 11.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Keywords
- Omicron variant, SARS-CoV-2, viral evolution, COVID-19 pandemic
- MeSH terms
- Vaccination Coverage, COVID-19, SARS-CoV-2, COVID-19 Vaccines, Persistent Infection, Animals, Humans, Mutation, Genome, Viral, Immunocompromised Host, Evolution, Molecular
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review