Did vaccination drive the evolution of variant (Alpha, Beta, etc...) SARS-CoV-2 viruses? This is a legitimate scientific question, but after looking into it I don't believe this to be the case. 1/19
Grenfell et al. 2004 (science.org/doi/10.1126/sc…) lays out the conceptual foundations for thinking about this problem. This figure is a bit hard to parse, but basically vaccination will increase population immunity and move rightward on the x-axis. 2/19
This will increase the strength of selection for immune escape (blue line), but will decrease viral abundance (red line). The rate of viral adaptation (black line) depends on both selection and abundance and so is maximized at an intermediate level of population immunity. 3/19
I've redrawn this concept here. We have viral abundance on the x-axis in arbitrary units of 0% to 100% and population immune pressure on the y-axis also in arbitrary units. Viral adaptation is plotted by color and is just abundance × immune pressure. 4/19
If we start from an intermediate level of viral abundance and population immunity and allow virus to spread further, we'll see increasing viral abundance as well as a wake of immunity in the population. We expect the combination to drive viral adaptation. 5/19
On the other hand, if we vaccinate, we'll see increasing population immunity, but decreasing viral abundance. This suggests more of a wash in terms of viral adaptation, so that adaptation rate is lower in the vaccination scenario than in the circulation scenario. 6/19
This is all theory. What have we actually observed with SARS-CoV-2? We've seen the highest rates of adaptation in the S1 domain of the spike protein (), consistent with effective antibodies from vaccination and infection both targeting S1. 7/19
We also know that S1 is responsible for binding to host cells and so evolution for better binding and replication is also likely to focus on S1 (). Host adaptation regardless of immunity may focus on S1. 8/19
So, S1 as target of evolution does not address vaccine-driven evolution. However, we can look at broader correlates in terms of time and place of variant emergence. 9/19
Variant viruses largely evolved during 2020 before widespread vaccination () with the common ancestor of Delta viruses (for example) emerging in ~Oct 2020. 10/19
We also see some specific locations of emergence to be correlated with circulation in 2020 and high seroprevalence (Gamma in Manaus particularly hard hit within Brazil science.org/doi/10.1126/sc…, Iota in NYC particularly hard hit within the US nature.com/articles/s4158…, etc...). 11/19
To this end, @KateKistler revised analysis from bedford.io/papers/kistler… to reconstruct a tree of 20k SARS-CoV-2 genomes, infer date and country of internal nodes and use these inferences to estimate vaccination coverage at internal nodes in the tree from @OurWorldInData. 12/19
If we then compare S1 mutations on phylogeny branches to inferred vaccine coverage we get the following result where branches with mutations at S1 do not correlate with higher inferred vaccine coverage. 13/19
Average vaccine coverage is 7.4% for branches without S1 mutations and 7.0% for branches with S1 mutations (p = 0.71 by Mann-Whitney U test). 14/19
I'd consider this analysis to preliminary, but based on this result alongside general time and place of variant emergence, I think it's safe to conclude there is little evidence for vaccination driving emergence of variant viruses. 15/19
Separately to looking at the evolution of variant viruses, we can see if vaccination is driving their spread. Here, @marlinfiggins has estimated variant-specific Rt through time and across states in the US (). 16/19
If we compare variant-specific Rt against vaccine coverage across states and across time we can estimate the reduction in Rt due to vaccination. Doing so, we find that vaccine coverage reduces Rt of non-variant viruses and variant viruses to an equivalent degree. 17/19
This suggests that vaccination in 2021 did not drive spread of variants in the US (in fact it shows that vaccination significantly reduced circulation). This is consistent with variant viruses having spread through increased transmissibility rather than antigenic drift. 18/19
I believe it's unlikely that vaccination drove emergence or spread of variant viruses. In general, we need to get to endemicity through immunity and we can get there by infection or vaccination. Infection gives more opportunity for the virus to transmit and further evolve. 19/19

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More from @trvrb

17 Nov
I support making boosters broadly available for those 18 and older. Even if breakthrough cases are generally mild in younger age groups, there is significant societal benefit to reducing circulation. 1/6
nytimes.com/2021/11/16/us/…
Currently Washington State is seeing almost 30% of cases as breakthrough cases (doh.wa.gov/Portals/1/Docu…). 2/6
Here, I think of @alexismadrigal's piece on the implications of a positive COVID test (theatlantic.com/health/archive…). It's crazy to me that we're saying to healthy younger individuals they must isolate for 10 days after a positive test, but that they're not eligible for a booster. 3/6
Read 6 tweets
15 Nov
The evolution of SARS-CoV-2 in the past year has been remarkable with Delta increasing transmissibility by perhaps 2.2X over "non-variant" viruses. 1/14
We should expect this evolution to slow as SARS-CoV-2 continues to adapt to the human host, but when should we expect this? Here, I propose that we've already seen slowing between 2020 and today. 2/14
One very important concept here that I keep coming back to in thinking about evolution is @GreatDismal's quote that "the future is already here. It's just not evenly distributed yet". 3/14
Read 14 tweets
13 Oct
I've meaning to write a "COVID endgame" thread for a while and I apologize this is somewhat delayed compared to media interviews like science.org/content/articl… and statnews.com/2021/09/20/win… and to recent seminars like . 1/17
Here, I've been trying to think about what COVID will look like in its endemic state, ie once the (more or less entire) population has immunity to the virus, blunting transmission and disease relative to the pandemic state. 2/17
I expect endemicity to be achieved at different times throughout the world due to inequities in vaccine distribution and I expect this to be a soft transition rather than a sudden flip of a switch. 3/17
Read 17 tweets
11 Oct
I realize this is rather late to the party, but I wanted to provide a look at the prospects of Mu variant virus. I believe we can conclude that Mu appears more transmissible than all circulating variants except for Delta, but Delta is substantially fitter than Mu. 1/9
If we look within Colombia, we see Mu becoming predominant around May 2021, outcompeting other endogenous South American variants Gamma and Lambda. However, recent sequencing suggests that Delta is successfully invading on this Mu background (nextstrain.org/ncov/gisaid/so…). 2/9 Image
In neighboring Ecuador, we see a heterogeneous mix of Alpha, Gamma, Iota, Lambda and Mu by June 2021. Delta has been successfully displacing most of this diversity since July 2021, while Mu has remained relatively stable (nextstrain.org/ncov/gisaid/so…). 3/9 Image
Read 9 tweets
28 Sep
I'm honored and completely overwhelmed by the recognition from @macfound and @HHMINEWS. Flexible funding with a multi-year commitment is the professional scientist's dream and I'm incredibly grateful for this opportunity. 1/4
For me, like others in the field, responding to the pandemic has been a ceaseless and exhausting endeavor. But I'm immensely proud of what the teams at @nextstrain, @fredhutch and the @seattleflustudy, as well as the larger scientific community, have accomplished. 2/4
That said, it's difficult for me to sort out my feelings about these awards, as they are so intertwined with the pandemic. It feels perhaps uncomfortable to be professionally rewarded for doing something that felt like a moral imperative. 3/4
Read 4 tweets
13 Sep
New (not yet peer-reviewed) work by Katie Kistler and @huddlej in the lab assessing adaptive evolution in SARS-CoV-2 across the viral genome. 1/12
biorxiv.org/content/10.110…
We measure adaptive evolution by correlating mutations in different regions of the genome with growth of clade frequency. For this, we use a viral phylogeny of ~10k genomes sampled equitably through space and time across the pandemic (nextstrain.org/groups/blab/nc…). 2/12 Image
If mutations to a region result in fitter viruses, clades bearing these mutations should expand more rapidly. We find that the S1 domain of spike accumulates protein-coding (nonsynonymous) changes rapidly and that clades with more S1 mutations tend to grow in frequency. 3/12 Image
Read 12 tweets

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