Evidence map›Paper›PMID 36384483›Full record

ArticleBMC genomics2022

A two-step process for in silico screening to assess the performance of qRTPCR kits against variant strains of SARS-CoV-2.

Swati Gupta, Amit Kumar, Nivedita Gupta, Deepak R Bharti, Neeraj Aggarwal, Vasanthapuram Ravi

Abstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Swati Gupta *Division of Epidemiology and Communicable Disease, V. Ramalingaswami Bhawan, Indian Council of Medical Research, Ansari Nagar, New Delhi, 110029, India.
Amit Kumar *Biomedical Informatics Division, Indian Council of Medical Research, Ansari Nagar, New Delhi, India.
Nivedita GuptaDivision of Epidemiology and Communicable Disease, V. Ramalingaswami Bhawan, Indian Council of Medical Research, Ansari Nagar, New Delhi, 110029, India. drguptanivedita@gmail.com.
Deepak R BhartiDepartment of Forensic Medicine & Toxicology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India.
Neeraj AggarwalDivision of Epidemiology and Communicable Disease, V. Ramalingaswami Bhawan, Indian Council of Medical Research, Ansari Nagar, New Delhi, 110029, India.
Vasanthapuram RaviDepartment of Neurosciences, National Institute of Mental Health and Neuro-Sciences, Bengaluru, 560029, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince inception of the COVID-19 pandemic, early detection and isolation of positive cases is one of the key strategies to restrict disease transmission. Real time reverse transcription polymerase chain reaction (qRTPCR) has been the mainstay of diagnosis. Most of the qRTPCR kits were designed against the target genes of original strain of SARS-CoV-2. However, with the emergence of variant strains of SARS-CoV-2, sensitivity of the qRTPCR assays has reportedly reduced. In view of this, it is critical to continuously monitor the performance of the qRTPCR kits in the backdrop of variant strains of SARS-CoV-2. Real world monitoring of assay performance is challenging. Therefore, we developed a two-step in-silico screening process for evaluating the performance of various qRTPCR kits used in India.

resultsWe analysed 73 qRT-PCR kits marketed in India, against the two SARS-CoV-2 VoCs. Sequences of both Delta (B.1.617.2) and Omicron (B.1.1.529) VoCs submitted to GISAID within a specific timeframe were downloaded, clustered to identify unique sequences and aligned with primer and probe sequences. Results were analysed following a two-step screening process. Out of 73 kits analysed, seven were unsatisfactory for detection of both Delta and Omicron VoCs, 10 were unsatisfactory for Delta VoC whereas 2 were unsatisfactory for only Omicron VoC.

conclusionOverall, we have developed a useful screening process for evaluating the performance of qRTPCR assays against Delta and Omicron VoCs of SARS-CoV-2 which can be used for detecting SARS-CoV-2 VoCs that may emerge in future and can also be redeployed for other evolving pathogens of public health importance.

Indexed as

COVID-19SARS-CoV-2HumansPandemicsRNA, ViralSensitivity and SpecificityRNA, ViralDeltaIn silico analysisOmicronqRT-PCR kitsSARS-CoV-2 variant

Identifiers

PMID36384483
PMCPMC9668695

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