CDC's Role in Tracking Variants (2024)

What to know

In the United States, CDC uses genomic surveillance to track emerging SARS-CoV-2 variants that cause COVID-19.

What is CDC doing to track SARS-COV-2 variants?

CDC established multiple pipelines to connect genomic sequence data from CDC, public health laboratories, and commercial diagnostic laboratories within publicly accessible databases maintained by the National Center for Biotechnology Information (NCBI).

Learn how CDC tracks emerging variants through the pipeline for genomic surveillance. View Infographic [PDF, 3 MB, 1 Page]

As part of the CDC National SARS-CoV-2 Strain Surveillance (NS3) System, public health laboratories ship deidentified specimens to CDC to provide a representative set of viruses for sequencing. There are four main stages in the process of generating SARS-CoV-2 genetic sequence data from these specimens and making it available in public repositories.

Why is genomic surveillance important for public health?

A comprehensive system for SARS-CoV-2 genetic surveillance is important

  • Mutations (nucleotide substitutions) occur in viruses and accumulate with continued viral spread; these mutations result in variants that may have different attributes. Genomic surveillance identifies circulating variants to rapidly inform public health response efforts.
    • Testing, treatment, and vaccination programs can be improved based on regularly updated surveillance of variants, including updating future vaccines if needed.
      • Detection of new variants supports outbreak preparedness and prevention efforts and strengthens public health response.

        Genomic sequencing process for SARS-CoV-2*

        1. Specimen receipt and initial processing: Specimens are received and entered into the laboratory information system.
          1. Specimen preparation and sequencing: SARS-CoV-2 RNA is extracted and converted to complimentary DNA, enriched, and loaded into the next-generation sequencing equipment.
            1. Sequence data generation and collection: Specimens are sequenced and data is collected from sequencers and initial quality control steps are taken. The raw data is processed and turned into sequence data. At this point, a parallel process begins where sequence data collected from commercial laboratories are integrated with CDC databases for processing.
              1. Sequence data submission to public repositories: Scientists conduct quality control steps. Sequences not initially accepted by public repositories are analyzed and potentially re-sequenced for resubmission. Published data are made available to scientists around the world through public repositories.

                *There are quality control tests at multiple stages of the pipeline to verify the accuracy of genomic sequencing data.

                Bioinformatic analysis of genomic sequence data

                Published data are available to scientists around the world through public repositories. CDC regularly collects genomic sequence data from multiple sources to support national surveillance. Commercial laboratories transfer genomic sequence data to CDC at step 3 in the sequencing process. CDC processes the data and submits for publishing. Public health laboratories, research laboratories, and universities submit data directly to public repositories. Scientists at CDC conduct detailed analyses of the sequence data to identify variants and actively monitor their proportions to evaluate potential impacts on critical SARS-CoV-2 countermeasures, including vaccines, therapeutics, and diagnostics.

                CDC encourages state public health laboratories to “tag” the sequences they generate and publish in public databases to include their output in CDC analyses. The use of standard and consistent tagging information on the submitted sequences improves our ability to search, analyze, and share the data generated across the Unites States.

                Leading the National SARS-CoV-2 Strain Surveillance (NS3) system

                The NS3 program collects, analyzes, and shares information about the genetic diversity of SARS-CoV-2, the virus that causes COVID-19. The program provides a comprehensive surveillance system for the United States to track virus evolution over time and identify emerging variants that may affect the performance of diagnostics, therapeutics, or vaccines, or that impact the transmissibility of SARS-CoV-2 or severity of COVID-19. A notable strength of NS3 is the regular collection of specimens from across the United States to support variant characterization efforts, which provides important data to inform public health decision-making.

                Through partnerships with state and local public health agencies CDC requests up to 750 total specimens per week from all states and jurisdictions for sequencing and further characterization of representative viruses. The NS3 program has three main goals:

                1. National virus monitoring: US public health laboratories send representative SARS-CoV-2–positive clinical specimens to CDC on a bi-weekly basis to support federal efforts to sequence, genetically analyze and phenotypically characterize the viruses circulating among our population over time. This also supports a repository of public SARS-CoV-2 sequence data and specimens.
                  1. Virus characterization: Based on genomic analyses, SARS-CoV-2 variants are isolated from positive specimens provided by US public health laboratories. These isolated viruses are evaluated in CDC laboratories to understand their potential impact on current vaccines, treatments, and diagnostics, and their overall risk to public health.

                    As laboratories have scaled up sequencing capacity, CDC works to improve and build additional technical infrastructure and workflows to ensure efficient sequence data submission to public repositories, which store publicly accessible sequence data for scientists to include in analyses.

                    Next-generation sequencing is a multi-step process that involves both laboratory and bioinformatic workflows. The time from specimen receipt at CDC to having an assembled sequence ready for submission to public databases is approximately 10 or more days. A similar timeline often applies to state, local, academic, and commercial partners.

                    The genetic sequence data generated by CDC and state and local public health laboratories are submitted to publicly accessible databases.

                    Collaborating with universities

                    CDC has funded universities to conduct genomic surveillance research in collaboration with public health agencies. These studies provide deeper insights into viral genomics and molecular epidemiology within the various regions across the country. These insights include:

                    • Genomic surveillance and outbreak investigation
                      • Vaccine breakthrough
                        • Patient outcomes and risk factors for severe disease
                          • Transmission on or around schools and institutes of higher education

                            These collaborations further develop and build upon bioinformatic and sequencing capabilities around the country, which are necessary components of a comprehensive public health infrastructure.

                            Supporting state, territorial, local, and tribal health departments

                            Since 2014, CDC’s Advanced Molecular Detection program has integrated next-generation sequencing and bioinformatics capabilities into the US public health system. Many state and local health departments use genomic sequencing as part of their response to COVID-19.

                            Sequencing conducted by public health departments can help provide a better understanding of local epidemiology and transmission, and these data can help investigate clusters of disease in various settings, such as healthcare facilities. State and federal public health departments support local investigations, conduct studies, and make genomic data available to public databases.

                            Virus characterization

                            CDC’s COVID Data Tracker analyzes the available genomic sequence data and provides bi-weekly COVID-19 updates.

                            These analyses drive the selection and prioritization of a subset of representative viruses for further characterization. Virus characterization efforts may include evaluation of the ability of antibodies generated after a previous infection or vaccination to neutralize circulating viruses, the susceptibility of viruses to authorized treatments, and laboratory studies to assess virus transmissibility and pathogenesis. Virus isolates are shared with public health, academic, federal, and commercial partners through BEI Resources.

                            CDC's Role in Tracking Variants (2024)
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