Author: Davda, Jayeshkumar Narsibhai; Frank, Keith; Prakash, Sivakumar; Purohit, Gunjan; Vijayashankar, Devi Prasad; Vedagiri, Dhiviya; Tallapaka, Karthik Bharadwaj; Harshan, Krishnan Harinivas; Siva, Archana Bharadwaj; Mishra, Rakesh Kumar; Dhawan, Jyotsna; Siddiqi, Imran
                    Title: An Inexpensive RT-PCR Endpoint Diagnostic Assay for SARS-CoV-2 Using Nested PCR: Direct Assessment of Detection Efficiency of RT-qPCR Tests and Suitability for Surveillance  Cord-id: sx2q5ol4  Document date: 2020_6_8
                    ID: sx2q5ol4
                    
                    Snippet: With a view to extending testing capabilities for the ongoing SARS-CoV-2 pandemic we have developed a test that lowers cost and does not require real time quantitative reverse transcription polymerase chain reaction (RT-qPCR). We developed a reverse transcription nested PCR endpoint assay (RT-nPCR) and showed that RT-nPCR has comparable performance to the standard RT-qPCR test. In the course of comparing the results of both tests, we found that the standard RT-qPCR test can have low detection ef
                    
                    
                    
                     
                    
                    
                    
                    
                        
                            
                                Document: With a view to extending testing capabilities for the ongoing SARS-CoV-2 pandemic we have developed a test that lowers cost and does not require real time quantitative reverse transcription polymerase chain reaction (RT-qPCR). We developed a reverse transcription nested PCR endpoint assay (RT-nPCR) and showed that RT-nPCR has comparable performance to the standard RT-qPCR test. In the course of comparing the results of both tests, we found that the standard RT-qPCR test can have low detection efficiency (less than 50%) in a real testing scenario which may be only partly explained by low viral representation in many samples. This finding points to the importance of directly monitoring detection efficiency in test environments. We also suggest measures that would improve detection efficiency.
 
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