Project description:Population scale sweeps of viral pathogens, such as SARS-CoV-2, require high intensity testing for effective management. However, reliable systems affording parallel testing of thousands of patients for pathogen infection have not yet been routinely employed. Here we describe “Systematic Parallel Analysis of RNA coupled to Sequencing for Covid-19 screening” (C19-SPAR-Seq), a multiplexed, readily automated platform for SARS-CoV-2 detection capable of analyzing tens of thousands of patient samples in a single instrument run. To address strict requirements for control of assay parameters and output demanded by clinical diagnostics, we employed a control-based Precision-Recall and Receiver Operator Characteristics (coPR) analysis to assign run-specific quality control metrics. C19-SPAR-Seq coupled to coPR on a trial cohort of several hundred patients performed with a specificity of 100% and sensitivity of 91% on samples with low viral loads. Our study thus establishes the feasibility of employing C19-SPAR-Seq for the large-scale monitoring of SARS-CoV-2 and other pathogens.
