Ewan Birney Profile picture
Aug 20, 2019 11 tweets 3 min read Read on X
Great meeting with Dr Morishita and Professor Takeda at the University of Tokyo (other campus though - testing my Tokyo metro skills) on Medaka fish genome and annotation. They have some great HiC data during Medaka development in the works - look out for the publication
Worth stressing again that there are classes of questions we can't answer in human - we can make statistical models, and fit those models, but we can (rarely) challenge or explore the underlying model in human - eg, how many GxE loci are there and do they overlap with GxG?
There is a surprisingly large amount of "this is the simplest model we can think of to describe the data so let's use it" in human genetics, and some real handwaving moments - how much "variance" is due to structured environment and how much due to individual chance events?
We can't get at some of these things easily (some studies try, but it's really hard) and most human genetics sweep all of these terms up together, along with measurement error (confusingly often called "environment" - not a good moniker) and this gets mainly ignored.
This is both because one can't control most variables in human (in particular the environment) and also because the numbers really work against you for some analyses - for example, the product of allele frequencies, in particular >2 make most GxG explorations in human a nightmare
We *need* non human models - both to do the "final mile" set of experiments to really nail down causality (eg, introducing specific changes via CRISPR) but also just simply to understand what is going on - both biologically, physiologically and statistically.
Many models are applicable - Marmoset, Mouse, Rat, Chicken, Xenopus, Zebrafish and ... my favoured Medaka fish ("Japanese rice paddy fish"). Why Medaka fish? The key feature is you can inbreed Medaka fish reliably from the wild (~50% of inbreeding attempts succeed)
We (Felix Loosli, Jochen Wittbrodt, Kiyoshi Naruse and myself) have made the first ever inbred panel from the wild in a vertebrate (old hat for arabidopsis and Drosophila - new for vertebrates!). This panel has 110 lines and alleles and allele frequencies that come from the wild
If you are human geneticist, it is as if Framingham, or part of UK BioBank, or part of Finland, was in fact a set of every lasting identical twins which you can repeat studies on again and again. Doing 10 embryos from a isogenic line is pretty routine in Medaka.
If you come from animal studies, this is like a recombinant inbred line, except the recombination is population scale recombination. This has positives (crazy good mapping properties!) and negatives (too much haplotype diversity, low allele frequencies).
University Tokyo's old campus is lovely - mature Ginko trees with the leaves being swept up; old buildings in the gothic style. Now waiting in a cafe in Tokyo station for the right train to get me to Okazaki where NIBB and @Naruse_kiyoshi is.

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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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