In collaboration with the Connecticut Department of Public Health, Yale University, Jackson Laboratories, and diagnostic laboratories across the state, we are conducting surveillance for SARS-CoV-2 variants of the lineage B.1.1.7 (first detected in the UK), B.1.351 (first detected in South Africa), P.1 (first detected in Brazil), B.1.427/B.1.429 (first detected in California), and variants of interest identified by the CDC. See the CDC’s webpage for more information.
SARS-CoV-2 variants in Connecticut
[table id=3 /]
Table 1. Number and frequency of sequence-confirmed cases detected per variant in Connecticut.
- *Cumulative cases reported by the CDPH = the total cases for each variant that are confirmed by sequencing and reported by the Connecticut Department of Public Health.
- **Percent sequenced during previous week from Yale/JAX = percent of each variant of all samples (unbiased) from weekly sequencing conducted by Yale University and Jackson Laboratories for SARS-CoV-2 surveillance.
- Variant of concern (VOC) = A variant for which there is evidence of an increase in transmissibility, more severe disease (increased hospitalizations or deaths), significant reduction in neutralization by antibodies generated during previous infection or vaccination, reduced effectiveness of treatments or vaccines, or diagnostic detection failures.
- Variant of interest (VOI) = A variant with specific genetic markers that have been associated with changes to receptor binding, reduced neutralization by antibodies generated against previous infection or vaccination, reduced efficacy of treatments, potential diagnostic impact, or predicted increase in transmissibility or disease severity.
- As of 4/21/2021, CDC updated the list of VOI to include both B.1.526 and B.1.526.1 separately. In previous reports, all B.1.526 sublineages (B.1.526, B.1.526.1, B.1.526.2) were included in this report as B.1.526.
Figure 1. Estimated temporal frequencies of variants of concern (VOC) and variants of interest (VOI) in Connecticut identified through unbiased sequencing by Yale and JAX.A breakdown of lineage B.1.526 into sublineages B.1.526.1 and B.1.526.2 can be found here. Phylogenetic relationships of all VOC/VOIs in Connecticut can be visualized here.
Frequency of probable B.1.1.7 cases
Many labs are using the TaqPath PCR test to screen for potential B.1.1.7 cases using “spike gene target failure” (SGTF) results. Initially, we found that many of the viruses that cause SGTF belong to a new viral lineage (B.1.375 – not a variant of concern). However, now we find that >90% of SGTF results are from B.1.1.7, and thus we characterize samples that cause SGTF as probable B.1.1.7.
Figure 2. Overall test positivity (%) and presumed B.1.1.7 positivity (%) in tests performed by Yale-New Haven Hospital (primary catchment = New Haven and Fairfield Counties) and Jackson Labs (primary catchment = New Haven and Hartford Counties). Probable B.1.1.7 positivity defined as “spike gene target failure” (SGTF) frequency on the TaqPath SARS-CoV-2 diagnostic test.
SARS-CoV-2 Mutations of interest
Figure 3. Estimated temporal frequency of all SARS-CoV-2 lineages containing the Spike E484K mutation **potentially** associated with vaccine/immune evasion in Connecticut identified through unbiased sequencing by Yale and JAX. Phylogenetic relationships of all lineages with the Spike E484K mutation in Connecticut can be visualized here.
Other mutations of interest in the spike gene:
- L18F: Tree and frequencies
- K417N/T: Tree and frequencies
- L452R: Tree and frequencies
- S477N: Tree and frequencies
- N501Y/T: Tree and frequencies
- P681H: Tree and frequencies
SARS-CoV-2 variants by county
Figure 4. Proportion of variants of concern (VOC) and variants of interest (VOI) per county in Connecticut of all SARS-CoV-2 sequences identified through unbiased sequencing by Yale and JAX since February, 2021 (see map here).
Estimated temporal frequencies for all VOC/VOIs (Figure 1) and lineages with the E484K mutation (Figure 2) as shown above are broken down by some counties below.
SARS-CoV-2 variants by diagnostic lab
The majority of our unbiased sequencing is currently coming from the following diagnostic labs: Yale-New Haven Hospital, Jackson Laboratories, and Murphy Medical Associates. Other diagnostic labs will soon be included as the state expands their SARS-CoV-2 genomic surveillance program.
- Yale-New Haven Hospital: Tree, frequencies, and catchment area
- Jackson Laboratory: Tree, frequencies, and catchment area
- Murphy Medical Associates: Tree, frequencies, and catchment area
SARS-CoV-2 sequencing in Connecticut
Genomic sequencing of COVID-19 cases is required to confirm the presence of SARS-CoV-2 variants. These efforts are ramping up across the country (see CDC National Genomic Surveillance Dashboard). The map in Figure 5 shows where we are primarily sequencing from in Connecticut. Figure 6 shows how these efforts have changed throughout the pandemic.
Figure 5. Relative frequency of SARS-CoV-2 sequences generated by county in Connecticut in 2021.
Figure 6. COVID-19 cases sequenced in Connecticut per epidemiological week. Note that there is a 2-3 week lag from cases identified to sequenced and posted on data repositories.
Genetic relatedness of SARS-CoV-2 genomes from Connecticut
We created a custom Nextstrain page to visualize the relatedness of sequenced COVID-19 cases in the state. Below shows an enlargement of the B.1.1.7 variant lineage. The full tree can be found on our Connecticut Nextstrain page.
Figure 7: Phylogenetic relationship among viruses from lineage B.1.1.7. Mint green represents viruses sequenced from Connecticut. For more details, click here.
For more information on the importance of these variants, including why we are conducting this surveillance, please refer to our Variant Surveillance About page.
- CDC: SARS-CoV-2 classifications
- CDC: COVID-19 cases caused by variants
- CDC: National Genomic Surveillance
- Connecticut DPH: COVID-19 resources
- Jackson Laboratory: COVID-19 variant data
- Jackson Laboratory: Coronavirus Information
- Yale University: COVID-19 information
- Grubaugh Lab: Lab website
- Nextstrain code: Github
The best response to the new variant is to rely on the disease control measures that are known to work to prevent the spread of COVID-19. State residents must follow the guidelines already in place set by the Connecticut Department of Health and the CDC.
Please direct all media inquiries to firstname.lastname@example.org.