2/9 While we continue to see the rapid decline of non-VOCs/VOIs, the competition between B.1.1.7 & B.1.526 is quite interesting, and could have significant public health importance. Currently B.1.1.7 is "winning", though things could rapidly change as more people get vaccinated.
3/9 For the first time we saw B.1.1.7 π from TaqPath data, which could mean that it is slowing down (it has to at some point). Below I also plotted the B.1.1.7 frequency estimates from our sequencing data, which has tracked with TaqPath and importantly still shows B.1.1.7 π
4/9 So I am hesitant to say that the π trajectory of B.1.1.7 is starting to slow down based on the TaqPath data. We now have enough data to expect B.1.1.7 to keep π until it completely dominates (>90%), or until the selection landscape changes w/ π
5/9 The B.1.526 story is interesting. 1st, it is a complicated lineage, with 2 new sub-lineages ("sister" lineages?) and 3 primary mutations within the spike RBD:
L452R, S477N, E484K
As you can see, they have very different patterns which could be functionally relevant.
6/9 What's interesting is that B.1.526 (+E484K or S477N) and B.1.526.2 (+S477N) were π as fast as B.1.1.7, but now both are on the π.
B.1.526.1 (+L452R), meanwhile, is still π. Perhaps this is a blip in the data, or perhaps their is something real to this.π€·ββοΈ
7/9 The L452R mutation on B.1.526.1 is notable as it is also found on the VOCs B.1.427/9 (first detected in CA) that are known to reduce the efficacy of some monoclonal antibodies. However, B.1.427/9 haven't been much of an issue in CT, and are collectively <3% since March.
8/9 The decline in B.1.526, and the fact that B.1.351 & P.1 have taken hold in CT, means that the frequency of viruses in CT with the E484K mutation has also π. I'll take this as good news with the caveat that other mutations are also likely important for immune evasion.
9/9 This week I'd like to highlight the work by @AndersonBrito_ who was instrumental in setting up our weekly reports. I am so grateful to have Anderson on our team π
3/6 We predicted that B.1.1.7 would become dominant in CT in our recent paper led by @tdalpert, @AndersonBrito_, & co. However, we thought that this would have happened earlier in March. The slowdown of B.1.1.7 was likely due to the rapid rise of B.1.526.
2/8 We didn't see an increase in the % of B.1.1.7 from the sequencing data last week, and the TaqPAth SGTF data also suggests that the expansion of B.1.1.7 *might* be slowing down in CT.
While this is good news, I think that it points to something else...
3/8 That something else is B.1.526.
It made up 32% of the sequenced cases analyzed this week, a 9% increase from the week before.
Its proportion is higher in Fairfield county, which is close to NY - where B.1.526 is currently dominating.
2/5 TaqPath SGTF data from YNHH (mostly New Haven County) and JAX (New Haven, Hartford, and some other counties) shows that the frequency of B.1.1.7 keeps π. Thankfully, the B.1.1.7 cases and total cases are still way down. Lets work to keep it that way.
3/5 We detected a B.1.1.7 sequence with the E484K mutation from a sample collected from New Haven County (CT). The genome is very closely related to others sequenced in CT so its likely acquired this mutation independently. This is potentially concerning for vaccines.
2/3 TaqPath SGTF data from YNHH (mostly New Haven County) and JAX (New Haven, Hartford, and some other counties) shows that probable B.1.1.7 cases keep π as non-B.1.1.7 cases slowly π.
B.1.1.7 is now ~35% of the total cases (~40% from YNHH and ~26% from JAX).
3/3 (YNHH TaqPath data only)
Our earlier projections of B.1.1.7 frequency growth are still pretty close. We expect the YNHH B.1.1.7 numbers to cross 50% this week, and the combined (YNHH and JAX) to cross 50% next week.
1/3 New Connecticut #SARSCoV2 variant surveillance report - @CovidCT
B.1.1.7 is rising rapidly, now close to 25% of positives in the New Haven area (based on SGTF results, purple). I'm worried that a rebound in cases will follow.
2/3 Most of the *confirmed* B.1.1.7 cases have been found in New Haven County because that is were we do most of our sequencing (primary catchment area of Yale diagnostic labs). We are working to increase sequencing from across the state.
3/3 In addition to the variants of concern - B.1.1.7 and B.1.351 - we've detected several *variants of interest*.
B.1.429, first reported in CA, may be increasing in frequency.
B.1.525 and B.1.526 (first reported from NY) are of interest because they have the E484K mutation.
2/n Temporal distribution of B.1.1.7 cases doesn't accurately reflect the growth of B.1.1.7 in CT as the sequence reporting is still lagging. Next week we'll have temporal est of frequency based on SGTF. B.1.1.7 is currently associated with 5-10% of the COVID-19 cases in CT.
3/n Phylogenetics of B.1.1.7 cases show many different clusters, some associated with NY.