Trevor Bedford Profile picture
22 Dec, 17 tweets, 7 min read
Following up on general thoughts on antigenic drift of #COVID19 from this weekend, I wanted to discuss what we know about the new variant of SARS-CoV-2 thats emerged in the UK. 1/17
This variant is referred to as the B.1.1.7 lineage in cov-lineages.org nomenclature and clade 20B/501Y.V1 in @nextstrain nomenclature and can be seen here within circulating viral diversity, where the variant lineage is highlighted in orange (nextstrain.org/ncov/europe?c=…). 2/17
Broadly, I'd characterize the source of concern as arising from the combination of:
1. Multiple mutations that from sequence composition alone are suggestive of biological importance
2. Observed rapid epidemic spread
3/17
For point 1 (mutational composition), the best reference is @arambaut, @pathogenomenick et al (virological.org/t/preliminary-…), but briefly there are 4 different mutations that are particularly striking. 4/17
These are:
1. Spike N501Y which alters a key residue responsible for binding to the human ACE2 receptor
2. Deletion of spike residues 69 and 70 which may aid antibody escape
3. Spike P681H which is adjacent to the furin cleavage site
4. Knockout of accessory gene ORF8
5/17
Many of these mutations have been characterized in the lab and we know something about them. However, their combination (along with other changes) has not been characterized. 6/17
For point 2 (rapid spread), we know the variant emerged recently (~Sep) and has quickly come to comprise a large fraction of cases sequenced by @covidgenomicsuk. Here, I'm plotting daily proportion of sequenced cases that comprise the variant and a 7-day average. 7/17
If we look at a detailed phylogenetic tree of this variant, rapid spread is also apparent. We also see that almost all the 501Y.V1 cases are in the UK, with 1 sequenced case from Australia (quarantined), 1 from Italy and 9 cases from Denmark (nextstrain.org/groups/blab/nc…). 8/17
Fortuitously, the spike deletion at residues 69 and 70 broke one of the three PCR probes used in the TaqPath assay and so @PHE_uk has been able to track spread of variant by comparing tests where all three probes light up vs tests where only two light up. 9/17
Here, I'm borrowing a figure from the recent @PHE_uk technical report (assets.publishing.service.gov.uk/government/upl…) showing a dramatic increase in proportion of tests with "S dropout" indicative of a variant case. 10/17
The dramatic increase in frequency of the variant has been associated with increases in overall epidemic growth as measured by R in regions where it's circulating as described in the PHE technical report and the NERVTAG meeting report (khub.net/documents/1359…). 11/17
In addition to the primary factors 1 (mutational composition) and 2 (rapid spread), we also see higher viral loads in 501Y.V1 cases with Ct values on average 2 units lower. 12/17
Note that "70% more transmissible" is based entirely on the rapid predominance of the variant over existing diversity. However, this evidence is strong enough that I believe a biologically-driven increase in transmissibility is the most likely hypothesis for the data. 13/17
The mechanism for this increase could be higher viral loads and infected individuals being consequently more contagious, but it could also be due to things like increased presymptomatic period or more asymptomatic infections that maintain viral load. We just don't know. 14/17
We don't yet have data on changes in severity. This could be established by comparing frequency of 501Y.V1 in all detected cases vs frequency of 501Y.V1 in hospitalized cases. I'm sure @PHE_uk is working on this now. 15/17
We also don't know if this variant will alter antigenicity. I believe that large reductions in vaccine efficacy are unlikely, but that a modest effect is possible. Experimental work conducted with post-vaccination sera will shed light on this. 16/17
Finally, we have no evidence of the 501Y.V1 variant in the US at this point. However, the US has sequenced and shared to @GISAID just 37 genomes from specimens collected after Dec 1, while the UK has sequenced and shared 3774. So, we can't exclude some limited circulation. 17/17

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More from @trvrb

23 Dec
Given the large discrepancy in specimens collected in Dec that were sequenced and shared between the US and the UK, I wanted to follow up on the relative quality of genomic surveillance in the US and the UK. 1/12
First thing to clarify, in the @nytopinion opinion piece yesterday (nytimes.com/2020/12/22/opi…), it's mentioned that "since Dec. 1, Britain has sequenced more than 3,700 coronavirus cases, compared with fewer than 40 cases in the United States, according to Trevor Bedford". 2/12
As of today, the UK has shared to @GISAID 23,377 genomes during Dec and the US has shared 8033 genomes. However, the UK turnaround time has been much faster with 5010 specimens that were collected in Dec shared vs 65 collected in Dec and shared by the US. 3/12
Read 12 tweets
19 Dec
With #COVID19 vaccine efficacy of ~95%, I'm looking forward to vaccine distribution in 2021 bringing the pandemic under control. However, I'm concerned that we'll see antigenic drift of SARS-CoV-2 and may need to update the strain used in the vaccine with some regularity. 1/18
First, some background. RNA viruses all evolve extremely rapidly, but some like influenza are able to accept mutations to their surface proteins in such a way that they can partially escape human immunity. This process is known as "antigenic drift". 2/18
For influenza, this necessitates regular vaccine updates to keep up with an evolving virus population. Other RNA viruses like measles mutate quickly but are unable to change protein structure to escape from immunity and so these vaccines don't need updating. 3/18
Read 18 tweets
17 Dec
There has been a significant question about the degree to which Thanksgiving holiday and associated travel and social gatherings may have contributed to transmission of #COVID19. Here I try to briefly address this question. 1/8
Based on known incubation periods (nejm.org/doi/full/10.10…), we expect, on one end, some infections arising on Nov 26 to become symptomatic on Nov 30 and on the other end, for some infections arising on Nov 30 to become symptomatic on Dec 6. 2/8
This brackets the window where we expect most of the increased case load to be. However, most states only list cases based on date of report rather than date the case became symptomatic. This causes jitter that's hard to deal with when looking for a Thanksgiving effect. 3/8
Read 8 tweets
12 Dec
Although the US is continuing to hit records for daily #COVID19 cases reported, the rate of exponential growth has slowed. Mortality is still catching up to increased case loads and I expect daily deaths reported to further increase. 1/8
This plot summarizes the overall picture. Bubble size is proportional to daily cases per capita from @COVID19Tracking and bubble color shows Rt from rt.live. Timepoints are shown up to two weeks ago due to delay in reliable estimates of Rt. 2/8
The Midwest and Mountain West had rapid growth during October resulting in large epidemics in November, but they're now starting to plateau or decline in incidence. Although current incidence is lower, the epidemic is still growing in much of the East Coast. 3/8
Read 8 tweets
10 Dec
The US reported over 3000 deaths from #COVID19 today and the 7-day average of deaths has hit a record with today's average of 2276. Here, I dig into these grim mortality numbers and look at deaths across ages and across weeks in the epidemic. 1/14
I'm using data from @CDCgov (cdc.gov/nchs/nvss/vsrr…) that records weekly deaths involving COVID-19 as well as deaths from all causes. These data use actual date of death but there is a reporting lag. 2/14
CDC reports 261k deaths involving COVID-19 in this dataset. Over half of these deaths are in individuals 75 or older and over three quarters are in individuals 65 or older. 3/14
Read 14 tweets
4 Dec
The US is reporting over 2000 deaths per day from Dec 1 and I believe will do so consistently throughout December based on daily case loads above 120k starting early November. 1/4
A drop in reporting over Thanksgiving weekend has made for some difficulty in directly comparing 7-day averaged deaths, but the trend is clear. Red bars are daily reported deaths from @COVID19Tracking and black line is 7-day sliding average. 2/4
The simple projection of 1.7% of reported cases into deaths 22 days later has remained largely accurate, although drop of reporting during Thanksgiving weekend is quite clear. We'll know soon whether 7-day average returns back to projection. 3/4
Read 4 tweets

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