Real-Time SARS-CoV-2 Genotyping by High-Throughput Multiplex PCR Reveals the Epidemiology of the Variants of Concern in Qatar
Author | R. Hasan, Mohammad |
Author | K.R. Kalikiri, Mahesh |
Author | Mirza, Faheem |
Author | Sundararaju, Sathyavathi |
Author | Sharma, Anju |
Author | Xaba, Thabisile |
Author | Lorenz, Stephan |
Author | Chemaitelly, Hiam |
Author | A. El-Kahlout, Reham |
Author | Ming Tsui, Kin |
Author | M. Yassine, Hadi |
Author | V. Coyle, Peter |
Author | Al Khal, Abdullatif |
Author | Bertollini, Roberto |
Author | H. Al Thani, Mohamed |
Author | J. Abu-Raddad, Laith |
Author | Tang, Patrick |
Available date | 2021-11-02T11:11:21Z |
Publication Date | 2021-11 |
Publication Name | International Journal of Infectious Diseases |
Identifier | http://dx.doi.org/10.1016/j.ijid.2021.09.006 |
Citation | Hasan, M. R., Kalikiri, M. K., Mirza, F., Sundararaju, S., Sharma, A., Xaba, T., Lorenz, S., Chemaitelly, H., El-Kahlout, R. A., Tsui, K. M., Yassine, H. M., Coyle, P. V., al Khal, A., Bertollini, R., al Thani, M. H., Abu-Raddad, L. J., & Tang, P. (2021). Real-Time SARS-CoV-2 Genotyping by High-Throughput Multiplex PCR Reveals the Epidemiology of the Variants of Concern in Qatar. International Journal of Infectious Diseases, 112, 52–54. https://doi.org/10.1016/j.ijid.2021.09.006 |
ISSN | 1201-9712 |
Abstract | Complementing whole genome sequencing strategies with high-throughput multiplex RT-qPCR genotyping allows for more comprehensive and real-time tracking of SARS-CoV-2 variants of concern. During the second and third waves of COVID-19 in Qatar, PCR genotyping, combined with Sanger sequencing of un-typeable samples, was employed to describe the epidemiology of the Alpha, Beta and Delta variants. A total of 9792 nasopharyngeal PCR-positive samples collected between April-June 2021 were successfully genotyped, revealing the importation and transmission dynamics of these three variants in Qatar. |
Language | en |
Publisher | Elsevier |
Subject | COVID-19 SARS-CoV-2 Variants of concern (VOC) Genotyping Epidemiology |
Type | Article |
Pagination | 52-54 |
Volume Number | 112 |
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Biomedical Research Center Research [738 items ]
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COVID-19 Research [835 items ]