The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
SARS-CoV-2 Variants of Concern
Open accessAbstract
Since the COVID-19 pandemic first began in December 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has continuously evolved with many variants emerging across the world. These variants are categorized as the variant of interest (VOI), variant of concern (VOC), and variant under monitoring (VUM). As of September 15, 2021, there are four SARS-CoV-2 lineages designated as the VOC (alpha, beta, gamma, and delta variants). VOCs have increased transmissibility compared to the original virus, and have the potential for increasing disease severity. In addition, VOCs exhibit decreased susceptibility to vaccine-induced and infection-induced immune responses, and thus possess the ability to reinfect previously infected and recovered individuals. Given their ability to evade immune responses, VOC are less susceptible to monoclonal antibody treatments. VOCs can also impact the effectiveness of mRNA and adenovirus vector vaccines, although the currently authorized COVID-19 vaccines are still effective in preventing infection and severe disease. Current measures to reduce transmission as well as efforts to monitor and understand the impact of variants should be continued. Here, we review the molecular features, epidemiology, impact on transmissibility, disease severity, and vaccine effectiveness of VOCs.
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Korber, B., Fischer, W. M., Gnanakaran, S., Yoon, H., Theiler, J., Abfalterer, W., Hengartner, N., Giorgi, E. E., Bhattacharya, T., Foley, B., et al. (2020) · Cell · doi:10.1016/j.cell.2020.06.043 · Cited by 4,281
Effectiveness of Covid-19 Vaccines against the B.1.617.2 (Delta) Variant
Lopez Bernal, J., Andrews, N., Gower, C., Gallagher, E., Simmons, R., Thelwall, S., Stowe, J., Tessier, E., Groves, N., Dabrera, G., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2108891 · Cited by 2,889
Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England
Davies, N. G., Abbott, S., Barnard, R. C., Jarvis, C. I., Kucharski, A. J., Munday, J. D., Pearson, C. A. B., Russell, T. W., Tully, D. C., Washburne, A. D., et al. (2021) · Science · doi:10.1126/science.abg3055 · Cited by 2,581
Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England
Davies, N. G., Abbott, S., Barnard, R. C., Jarvis, C. I., Kucharski, A. J., Munday, J. D., Pearson, C. A. B., Russell, T. W., Tully, D. C., Washburne, A. D., et al. (2020) · doi:10.1101/2020.12.24.20248822 · Cited by 2,557
Detection of a SARS-CoV-2 variant of concern in South Africa
Tegally, H., Wilkinson, E., Giovanetti, M., Iranzadeh, A., Fonseca, V., Giandhari, J., Doolabh, D., Pillay, S., San, E. J., Msomi, N., et al. (2021) · Nature · doi:10.1038/s41586-021-03402-9 · Cited by 2,510
Antibody resistance of SARS-CoV-2 variants B.1.351 and B.1.1.7
Wang, P., Nair, M. S., Liu, L., Iketani, S., Luo, Y., Guo, Y., Wang, M., Yu, J., Zhang, B., Kwong, P. D., et al. (2021) · Nature · doi:10.1038/s41586-021-03398-2 · Cited by 2,312
Reduced sensitivity of SARS-CoV-2 variant Delta to antibody neutralization
Planas, D., Veyer, D., Baidaliuk, A., Staropoli, I., Guivel-Benhassine, F., Rajah, M. M., Planchais, C., Porrot, F., Robillard, N., Puech, J., et al. (2021) · Nature · doi:10.1038/s41586-021-03777-9 · Cited by 1,992
Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil
Faria, N. R., Mellan, T. A., Whittaker, C., Claro, I. M., Candido, D. D. S., Mishra, S., Crispim, M. A. E., Sales, F. C. S., Hawryluk, I., McCrone, J. T., et al. (2021) · Science · doi:10.1126/science.abh2644 · Cited by 1,461
mRNA vaccine-elicited antibodies to SARS-CoV-2 and circulating variants
Wang, Z., Schmidt, F., Weisblum, Y., Muecksch, F., Barnes, C. O., Finkin, S., Schaefer-Babajew, D., Cipolla, M., Gaebler, C., Lieberman, J. A., et al. (2021) · Nature · doi:10.1038/s41586-021-03324-6 · Cited by 1,343
SARS-CoV-2 501Y.V2 escapes neutralization by South African COVID-19 donor plasma
Wibmer, C. K., Ayres, F., Hermanus, T., Madzivhandila, M., Kgagudi, P., Oosthuysen, B., Lambson, B. E., de Oliveira, T., Vermeulen, M., van der Berg, K., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01285-x · Cited by 1,147
SARS-CoV-2 evolution during treatment of chronic infection
Kemp, S. A., Collier, D. A., Datir, R. P., Ferreira, I. A. T. M., Gayed, S., Jahun, A., Hosmillo, M., Rees-Spear, C., Mlcochova, P., Lumb, I. U., et al. (2021) · Nature · doi:10.1038/s41586-021-03291-y · Cited by 1,097
Self-citationSARS-CoV-2 B.1.1.7 sensitivity to mRNA vaccine-elicited, convalescent and monoclonal antibodies
Collier, D. A., De Marco, A., Ferreira, I. A. T. M., Meng, B., Datir, R., Walls, A. C., Kemp S, S. A., Bassi, J., Pinto, D., Fregni, C. S., et al. (2021) · doi:10.1101/2021.01.19.21249840 · Cited by 729
Sensitivity of SARS-CoV-2 B.1.1.7 to mRNA vaccine-elicited antibodies
Collier, D. A., De Marco, A., Ferreira, I. A. T. M., Meng, B., Datir, R. P., Walls, A. C., Kemp, S. A., Bassi, J., Pinto, D., Silacci-Fregni, C., et al. (2021) · Nature · doi:10.1038/s41586-021-03412-7 · Cited by 728
Self-citationEscape of SARS-CoV-2 501Y.V2 from neutralization by convalescent plasma
Network for Genomic Surveillance in South Africa, Cele, S., COMMIT-KZN Team, Gazy, I., Jackson, L., Hwa, S.-H., Tegally, H., Lustig, G., Giandhari, J., Pillay, S., et al. (2021) · Nature · doi:10.1038/s41586-021-03471-w · Cited by 651
Increased resistance of SARS-CoV-2 variant P.1 to antibody neutralization
Wang, P., Casner, R. G., Nair, M. S., Wang, M., Yu, J., Cerutti, G., Liu, L., Kwong, P. D., Huang, Y., Shapiro, L., et al. (2021) · Cell Host & Microbe · doi:10.1016/j.chom.2021.04.007 · Cited by 636
Neutralizing Activity of BNT162b2-Elicited Serum
Liu, Y., Liu, J., Xia, H., Zhang, X., Fontes-Garfias, C. R., Swanson, K. A., Cai, H., Sarkar, R., Chen, W., Cutler, M., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmc2102017 · Cited by 537
Chemaitelly, H., Yassine, H. M., Benslimane, F. M., Al Khatib, H. A., Tang, P., Hasan, M. R., Malek, J. A., Coyle, P., Ayoub, H. H., Al Kanaani, Z., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01446-y · Cited by 386
SARS-CoV-2 spike E484K mutation reduces antibody neutralisation
Jangra, S., Ye, C., Rathnasinghe, R., Stadlbauer, D., Alshammary, H., Amoako, A. A., Awawda, M. H., Beach, K. F., Bermúdez-González, M. C., Chernet, R. L., et al. (2021) · The Lancet Microbe · doi:10.1016/s2666-5247(21)00068-9 · Cited by 385
Graham, M. S., Sudre, C. H., May, A., Antonelli, M., Murray, B., Varsavsky, T., Kläser, K., Canas, L. S., Molteni, E., Modat, M., et al. (2021) · The Lancet Public Health · doi:10.1016/s2468-2667(21)00055-4 · Cited by 304
Self-citation
Cited by
Šmíd, M., Berec, L., Přibylová, L., Májek, O., Pavlík, T., Jarkovský, J., Weiner, J., Barusová, T., & Trnka, J. (2022) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiac161 · Cited by 67
Shishir, T. A., Jannat, T., & Naser, I. B. (2022) · doi:10.1101/2022.02.21.481269 · Cited by 5
Metadata
- Authors
- Choi, J. Y., & Smith, D. M.
- Venue
- Yonsei Medical Journal
- Publisher
- XMLink
- Published
- 2021
- Volume
- 62
- Issue
- 11
- Pages
- 961
- ISSN
- 0513-5796 (ISSN-L)
- 1976-2437
- OpenAlex
- W3206432019
- Cited by
- 293
- References
- 19
- FWCI
- 18.14
- Type
- journal article
- Language
- en
- Open access
- gold
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