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)
The third option should be left for the pros.

It means that GISAID will accept all of your FRAMESHIFTS w/o curation. As Illumina is known for indels in homopolymer regions, errors do occur.

If you are not verifying these in your sequences, please do not use this option. (4/6)
The "notify me only about NOT PREVIOUSLY REPORTED FRAMESHIFTS..." option in the middle is the real fix here.

This means that GISAID will not make you confirm/resubmit B.1.621 sequences that contain the real 4nt deletion in ORF3a.

USE THIS! (5/6)
πŸ‘† This also means that other real deletions that are previously reported will also be immediately uploaded, alleviating an important data bias in our system.

**THANK YOU** GISAID for hearing our concerns and creating a real solution to this problem. πŸ‘πŸ» (6/6)
was in response to this. For some reason the "quote tweet" didn't work.

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More from @NathanGrubaugh

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
24 Jun
🧬6/24 Connecticut #SARSCoV2 variant surveillance
@CovidCT | @jacksonlab | @CTDPH | @YaleSPH | @Yalemed | @YNHH

Alpha (B.1.1.7) = 59% (πŸ“ˆ2%)
Gamma (P.1) = 4.5% (πŸ“‰6.4%)
Delta (B.1.617.2) = 2.3% (πŸ“‰4.2%)

short 🧡 | Report πŸ‘‰
covidtrackerct.com/variant-survei…
2/8 In Connecticut, the % of sequenced cases that are the Delta variant (B.1.617.2) decreased in recent weeks. This is probably more of a reflection of noisy data when trying estimate frequencies from a small number of cases vs an actual decline in delta.
3/8 Looking at our neighbors in Massachusetts and New York, delta is 10-20%, so we in Connecticut are probably pretty close to that. My guess is that we'll see a πŸ“ˆ in delta in the coming weeks to reflect the trends of our neighbors.
Read 9 tweets

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