🧬8/12 Connecticut #SARSCoV2 variant surveillance
@CovidCT | @jacksonlab | @CTDPH | @YaleSPH | @Yalemed

Delta - 95% (πŸ“ˆ7%)
B.1.621 - 4% (πŸ“‰4%)
Gamma - <1% (πŸ“‰3%)
Alpha - 0% (πŸ“ˆ1%)

State infections = 55/100k pop/day
State Rt = 1.2

short 🧡 | Report πŸ‘‰
covidtrackerct.com/variant-survei…
217 days ago we reported the first B.1.1.7 (now called Alpha) cases in Connecticut. For the first time since then we report 0⃣ Alpha cases.

Lets quickly recap Alpha's reign (2/10)

Alpha is the first variant to hit the news, and concern over its emergence was the primary motivating factor for the construction of our state genomic surveillance system. Because of our rapid increase in sequencing, we've been able to detect other variants much earlier. (3/10)
Alpha initially raised more questions than we had answers, and subsequently caused quite a bit of panic in our community. I tried to address some of these to the best that I could. (4/10)

Alpha peaked at ~64% in Connecticut, much lower than what it reached in the UK. Its rapid rise in early 2021 was only surpassed by its recent fall.

I don't know why this is making me think 'Game of Thrones', but the πŸ‘‘ is dead (eaten by a Delta-shaped 🐲). RIP (5/10)
The new πŸ‘‘ is obviously Delta (first of its name), and it now makes up >95% of the sequenced cases in Connecticut.

We find it in 2 primary flavors: AY.3 (~15%) and B.1.617.2 (~80%). Its still not clear if one of these is more transmissible. (6/10)
The challenger, and second most common variant, is B.1.621 (& B.1.621.1 - Blue). I'm not yet sure if it will suffer the same fate as the other variants, but for now at least its still hanging around. (7/10)
BTW, the B.1.621 GISAID data submission issue has been fixed. As backlogged data gets uploaded, we should have a better picture of its national/global prevalence (8/10)

Our variant-specific Rt plots confirm that for the last 1.5 months, Delta, and to some extent B.1.621, has been driving transmission (i.e. Rt > 1). Cases for all other variants are decreasing even during this resurgence. Thus cases wont come down until we bring Delta down. (9/10)
Thanks to our friends in Puerto Rico (@fabyhealthyle ), Dominican Republic (@PaulinoRobert ), and USVI, we are producing reports and custom Nextstrain builds for the Caribbean too. We'll start generating weekly threads in the near future. (10/10)

covidtrackerct.com/caribbean/

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More from @NathanGrubaugh

10 Aug
UPDATE: GISAID put a fix in place to accept these sequences, and any sequence with a known FRAMESHIFT, w/o confirmation. πŸ»πŸ‘

Here's what you need to do. Its pretty easy. 🧡 (1/6)
If you go to the Upload > Batch Upload tab, you should see the new "Confirmation options" dropdown menu highlighted in yellow. (2/6)
Now you have options!

The Default is as before, any sequencing with FRAMESHIFTS, like B.1.621, will be kicked back for confirmation and resubmission.

I don't recommend using the default. (3/6)
Read 7 tweets
5 Aug
🧬8/5 Connecticut #SARSCoV2 variant surveillance
@CovidCT | @jacksonlab | @CTDPH | @YaleSPH | @Yalemed

88% - Delta (B.1.617.2 + AY.3)
8% - B.1.621 (no greek letter yet)
3% - Gamma (P.1)
<1% - Alpha (B.1.1.7)
0% - everything else

short 🧡 | Report πŸ‘‰
covidtrackerct.com/variant-survei…
Delta in Connecticut (~88%) is a bit behind the national average of 93%, but generally following the national trends. (2/9)

covid.cdc.gov/covid-data-tra…
Besides Delta, the other major story here is B.1.621. It's now firmly the second most frequent variant in CT (~8%), and has so far been able to maintain its ground against the expansion of Delta. Something that Alpha, Gamma, and everything else couldn't do. (3/9)
Read 9 tweets
29 Jul
πŸ“’ PSA for GISAID submitters/users

All of our B.1.621 + B.1.621.1 (important emerging SARS-CoV-2 variant) submissions are being rejected by GISIAD. This has some important implications that data producers + public health agencies should be aware of.

Technical 🧡(1/12)
We usually have a few sequences/week that get rejected for QC reasons (eg indel in a string of As or Ts). It takes a few days for these to be fixed and reposted. Sometimes longer depending on our bandwidth. These are usually a random distribution so not a problem if delayed(2/12)
This past week we had 40+ sequences get rejected, and almost all of them were B.1.621/B.1.621.1. @JosephFauver found that all of these sequences have a 4 nt deletion in ORF3A that results in a premature stop codon about ~50 nt upstream. GISAID sees these and kicks them back(3/12)
Read 12 tweets
19 Jul
Some further musings on our work with @carolilucas, @VogelsChantal, @InciYildirim11, @SaadOmer3,
& @VirusesImmunity. I'll start by nerding πŸ€“ out on some of the genetics and end with some thoughts πŸ€” about vaccination strategies (/gasp). (1/22)

One of the 😎 parts of our study is that we used virus isolates (not pseudovirsues) that represent much of the genetic diversity in our region. This allowed us to examine local effects and to dive into the genetic components of πŸ’‰neutralization (2/22)

These are the results that I want to spend some time with as there is a lot to unpack here. I know that I am a bit biased, but this is such a 😎 figure! (3/22)

Read 23 tweets
15 Jul
🧬7/15 Connecticut #SARSCoV2 variant surveillance
@CovidCT | @jacksonlab | @CTDPH | @YaleSPH | @YaleMed

Alpha (B.1.1.7) = 27% (πŸ“ˆ8%)
Delta (B.1.617.2) = 64% (πŸ“ˆ11%)

**Delta is now likely the dominant variant in CT**

short 🧡 | Report πŸ‘‰
covidtrackerct.com/variant-survei…
2/10 Our data combined with the CDC indicates that Delta was ~64% by 6/28 in Connecticut and may have been as high as 80% by 7/6 (remember that sequencing data always has a bit of a lag). Also, the rise in Delta is replacing almost all other variants. Image
3/10 In addition to B.1.617.2, we are also seeing the sub-lineages AY.1, AY.2, and AY.3, which are all classified as Delta. Some AY.1's have K417N and some AY.2's have V70F. AY.3 is defined by mutations outside of spike. The functional differences between these are unknown. Image
Read 10 tweets
1 Jul
🧬7/1 Connecticut #SARSCoV2 variant surveillance
@CovidCT | @jacksonlab | @CTDPH | @YaleSPH | @Yalemed

Alpha (B.1.1.7) = 50% (πŸ“‰9%)
Delta (B.1.617.2) = 13.6% (πŸ“ˆ11%)

short 🧡 | Report πŸ‘‰
covidtrackerct.com/variant-survei…
2/9 Last week when we reported that Delta was only 2.3% I said: "This is probably more of a reflection of noisy data when trying estimate frequencies from a small number of cases", and followed that up with an expectation that we will see Delta πŸ“ˆ.

3/9 This week we are seeing the expected πŸ“ˆ in Delta (B.1.617.2), but the caveat still remains that our estimates are noisy because of the low numbers of sequenced cases (a product of the low numbers of cases, which is a good problem to have πŸ‘)
Read 9 tweets

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