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10.3390/ijms21155585

http://scihub22266oqcxt.onion/10.3390/ijms21155585
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32759818!7432934!32759818
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suck abstract from ncbi


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pmid32759818      Int+J+Mol+Sci 2020 ; 21 (15): ä
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  • Use of Whole Genome Sequencing Data for a First in Silico Specificity Evaluation of the RT-qPCR Assays Used for SARS-CoV-2 Detection #MMPMID32759818
  • Gand M; Vanneste K; Thomas I; Van Gucht S; Capron A; Herman P; Roosens NHC; De Keersmaecker SCJ
  • Int J Mol Sci 2020[Aug]; 21 (15): ä PMID32759818show ga
  • The current COronaVIrus Disease 2019 (COVID-19) pandemic started in December 2019. COVID-19 cases are confirmed by the detection of SARS-CoV-2 RNA in biological samples by RT-qPCR. However, limited numbers of SARS-CoV-2 genomes were available when the first RT-qPCR methods were developed in January 2020 for initial in silico specificity evaluation and to verify whether the targeted loci are highly conserved. Now that more whole genome data have become available, we used the bioinformatics tool SCREENED and a total of 4755 publicly available SARS-CoV-2 genomes, downloaded at two different time points, to evaluate the specificity of 12 RT-qPCR tests (consisting of a total of 30 primers and probe sets) used for SARS-CoV-2 detection and the impact of the virus' genetic evolution on four of them. The exclusivity of these methods was also assessed using the human reference genome and 2624 closely related other respiratory viral genomes. The specificity of the assays was generally good and stable over time. An exception is the first method developed by the China Center for Disease Control and prevention (CDC), which exhibits three primer mismatches present in 358 SARS-CoV-2 genomes sequenced mainly in Europe from February 2020 onwards. The best results were obtained for the assay of Chan et al. (2020) targeting the gene coding for the spiking protein (S). This demonstrates that our user-friendly strategy can be used for a first in silico specificity evaluation of future RT-qPCR tests, as well as verifying that the former methods are still capable of detecting circulating SARS-CoV-2 variants.
  • |*Genome, Viral[MESH]
  • |Betacoronavirus/*genetics/isolation & purification[MESH]
  • |COVID-19[MESH]
  • |Coronavirus Infections/*diagnosis/virology[MESH]
  • |Databases, Genetic[MESH]
  • |Humans[MESH]
  • |Open Reading Frames/genetics[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*diagnosis/virology[MESH]
  • |Polymorphism, Single Nucleotide[MESH]
  • |RNA, Viral/analysis/*metabolism[MESH]
  • |RNA-Dependent RNA Polymerase/genetics[MESH]
  • |Real-Time Polymerase Chain Reaction/*methods[MESH]
  • |SARS-CoV-2[MESH]
  • |Sensitivity and Specificity[MESH]


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