Ewan Birney Profile picture
Dec 14, 2020 20 tweets 5 min read Read on X
Deep breath, my views on the SARS CoV2 Mutation story in London/South East. It's a fast moving story (at least for phylogeography); I'm a one step-away from experts, aiming here to provide some light.
Some background - like all viruses SARS-CoV-2 encodes its information in a nucleic acid, in SARS's case, RNA. This is simply a very long polymer made from 4 chemical subunits; the "long form" of these chemicals are too tedious to write down, so we give the 4 letters - A,C, U* + G
(the * is because in RNA one of the bases is Uracil - U - whereas as in DNA it is Thymine - T - basically for these purposes it doesn't matter and because one often does read outs in DNA not RNA letters, one uses T not U. One of these little "this is how it works, its a detail")
This chemical polymer - ~30,000 letters, just 1.3 million atoms - is remarkable in that if it gets into a human cell it can usurp the human cell's machinery to make more copies of itself (the polymer) and the virus coat, thus making more virus. This is... the way viruses roll.
Occasionally when it makes copies of the polymer it makes a copying error; one of the letters flips to another letter. We call this mutation, but unlike superhero movies, most of these mutations are as important as typos ... there, dectable, but don't change anything important.
Just some perspective on this error process - SARS-CoV-2 is a pretty faithful replicating virus - we know of far more error prone ones (eg HIV) or full-on let's keep shuffling the deck whenever we can ones - influenza - not SARS-CoV-2.
We can read out SARS-CoV-2 genomes (determining the precise polymer for a specific isolate) and a number of countries are doing this alot, in particular the UK. This is both a "know your enemy" sort of thing and because these errors allow us to make family trees of the virus.
From the family trees (they go back to Wuhan isolates) we can tell roughly how much mixing there is, and in a outbreak (eg, a hospital) we can tell whether a group of infected people all come from the same origin or different - this can change what one does.
More ominously, monitoring this is good to check for new strains that might infected faster, or be more virulent, or perhaps evade vaccines, though the rather pedestrian rate for the SARS-CoV-2 mutations means this is unlikely.
Today there was announcement from @CovidGenomicsUK that it was tracking a new virus variant which has grown in prevelance in London and South East England. cogconsortium.uk/news_item/upda…
You might think that "growing" is a prime facie case for "concerning" but by definition if the outbreak is growing in London and the South East (which it is) probably some viruses 'by chance' are the ones which are growing, and some will be shrinking;
So - although this is *definitely* worth more study (this is precisely why @CovidGenomicsUK is sequencing these things) do not get too concerned. There are over 4,000 similar mutations in the key Spike protein around the world for example.
I think the reason why this is slightly more of interest is that this mutation impacts parts of the RT-PCR read out at least from some reports (@The_Soup_Dragon). Again, this needs more study and should not overly concern you. I promise to freak out if it looks freaky.
Thankfully the people who design the RT PCR have a complete belt-and-braces approach with 3 independent sites to get a read out of the virus. In fact, it's going to be cool (and lucky) if we can get a read out of the strain spread from RT-PCR processing.
Viruses becoming more infectious is common; they may become more virulent or less (less is at least as common as more) and thankfully our immune system also has a belt and braces approach on detecting the virus >>
<< the key T-cell immunity happens via fragments of the virus proteins processed inside of cells - mutations might effect one fragment, but it is hard to impact all. Vaccines stimulate this (T cells) as much as B cells we hope.
So - take homes - there is a mutation in SARS-CoV-2 - this is to be expected; in London and Thames Estuary more virus is being founded; we should expect some strains to go up in prevalence. This strain is by chance spottable at the "testing" level but just by sheer chance.
We need to keep an eye on this (hence... @CovidGenomicsUK - rock on COG UK) - it might be that it is more infectious though the actual key reported mutation is also found in France and Denmark so ... we can probably get an idea (there might be a substrain issue).
We should also keep an eye on these things for vaccination, but remember all the clinical trials happened with a fair number of different "mutant" spike proteins over the summer and autumn. Never say never - we should know every moving part of this, but don't get concerned.
And stay tuned to @CovidGenomicsUK

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More from @ewanbirney

Apr 2
A short, personal thread on what is odd about other cultures when interacting with Brits, and then also what I think is odd about Brits when interacting with other cultures - highly, highly personal, but from >30 years working internationally.
German+Dutch do not have to preface a challenge with "I think you might have missed something..." or some other British-style softening up. It is entirely fine - indeed polite/shows respect - just come out "you are wrong because X,Y" - this directness is surprising for a Brit.
Northern (Protestant/river/Prussian) Germans are very different from Southern (Catholic, Mountain+Forest) Germans. Don't confuse them. External stereotypes of Germans (in particular in Britain) is a weird mixture of both and you have to untangle this.
Read 20 tweets
Feb 20
The publication of the whole genomes from the US @AllofUsResearch cohort is great to see, but the choice of how to represent an overview of the genetic relationships has (rightly) drawn controversy, in particular how the concepts of ethnicity and race are mapped to it.
This is not in bad faith - the AllofUs cohort should be applauded in its diversity push and much of the but it is an illustration of the messiness of genetics and the inability to represent our complex relationships in any 2D space. Longer thread below>>
A reminder that genetics (the variation in DNA sequence passed down from your parents, +their parents etc) and race or ethnicity (a box people tick on surveys or on census) are quite different concepts, strongly linked only by visible features which are genetic, eg, skin colour
Read 28 tweets
Jan 19
Next monday is 4 hours of preliminary grant reviews - a necessary but intense part of being a scientist who goes through peer review is being the reviewer. As ever, I am rather amazed by scientists who make simple mistakes in their proposals. My thoughts for a good proposal:
For me as a reviewer you need to convince me of 4 major things. >>
1. Is the problem important/interesting? 2. What has changed in the last ~five years that means an important/interesting problem can now be tackled? 3. Can you actually perform the science? Is it likely to fail? 4. Why are you one of the best people in the world to do this?
Read 18 tweets
Dec 10, 2023
It is a dark, drizzly december sunday in London and I've just read yet another depressing thread of someone reaching for genetics to justify racism and superiority to themselves. It is deeply wrong, but such a recurrent thread worth both dismantling+ understanding the attraction
Let's dismantle first; although a feature of ethnicity/race is skin colour and other visible features, and although these have strong genetic components, counter-intutively for most people, ethnicity is *not* a good predictor for genetics
(certain manipulations of genetic information are reasonable predictors of ethnicity in a single country setting but the reverse is not true; the genetic space is far more high dimensional than these crude ethnicity labels, and it all breaks down when you go global)
Read 25 tweets
May 21, 2023
Here is the slightly cheesy montage for the great #nanoporeconf for 2023 - and, with a reminder of my conflict of interest - I am a longestablished paid consultant for Oxford Nanopore and a shareholder - here are my thoughts on the conference.
For long time nanopore scientists -and I am definitely one of those- one can definitely both plot progress London Calling conference (on the Thames in London) both in terms of what the company presents as near and long horizon+how the plenary speakers use and talk about nanopore
From the company side, much of this was giving a roadmap of key software and flow cells; the R10 flow cells (which is a distinct step up in quality) are now routine; what is not yet is high yield duplex which has being moving from Oxford to Alpha to broader Beta testers.
Read 34 tweets
May 21, 2023
My friend and economics/ markets guru @felixmwmartin commenting on super human AI and all too human market behaviour - on the money that AI will transform many things (science included - it has started in earnest) but also more broadly in the economy
Economics and biology are closer in data science than you might think - in particular micro economics and observational human biology aka epidemiology. Plenty of differences but lots of overlap as well, eg biased sampling, many hidden confounders, clearly correlated variables
A deeper issue is the need to understand causality / intervention- if I enacted this policy or provided this drug what would happen next. Finding the golden causal threads in the tangled Gordian knot (hairball?) of correlation is a common challenge shared by biology+economics
Read 6 tweets

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