Adam Auton
@adamauton.bsky.social
820 followers 240 following 25 posts
Geneticist @ 23andMe
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adamauton.bsky.social
The brilliant Sarah Senk, together with Taiyo Inoue, has just launched a podcast that explores the implications of AI for higher education: My Robot Teacher. Please give it a listen! #MyRobotTeacher #HigherEd www.youtube.com/watch?v=H2Ta...
How Professors Are Responding to AI: Resistance Is Futile (and Brief) | My Robot Teacher Episode 1
YouTube video by My Robot Teacher
www.youtube.com
Reposted by Adam Auton
newcastleunited.com
YOUR 2024/25 CARABAO CUP WINNERS 😍
Reposted by Adam Auton
blogeman.bsky.social
On the x-axis is every human gene, ranked by number of publications containing mention of the gene name. Lots left to discover...
Reposted by Adam Auton
Reposted by Adam Auton
ericfauman.bsky.social
So given that, can you spot the error right at the start of this Wikipedia article on HERC2?

"HERC2 is a giant E3 ubiquitin protein ligase, implicated in DNA repair regulation, pigmentation and neurological disorders."
Reposted by Adam Auton
cmhmaliani.bsky.social
Good news, Altmetric has now started watching BlueSky for mentions of publications. And by the way, provides an easy comparison between this and the old site for a recent preprint of mine which I posted simultaneousl at both. Numbers speak by themselves !
adamauton.bsky.social
Yesterday was a hard day at 23andMe, and we said goodbye to a number of tremendously talented colleagues. If people have job openings in the genetics space that they'd like me to share with the impacted folks, please do post here.
Reposted by Adam Auton
madhupai.bsky.social
Today seems like a good day to share this Scientific American story on how vaccines have saved more lives throughout history than any other intervention

www.scientificamerican.com/article/see-...
Reposted by Adam Auton
jkpritch.bsky.social
I want to try something new at #ASHG24 this year: I'm going to block some time on Friday afternoon to meet with any trainees who would be interested to chat on any topic.
adamauton.bsky.social
We demand examples!
Reposted by Adam Auton
biotobi.bsky.social
Long COVID #GWAS preprint identifies #HLA class II associations | #23andMe www.medrxiv.org/content/10.1...
Reposted by Adam Auton
michelnivard.bsky.social
I made a starter pack full of statistical genetics (adjacent) scientists. it covers all flavours of behaviour, psychiatric, social science and population genetics people. One click follow all of em! let me know if I missed key people!
adamauton.bsky.social
Thank you! Super useful.
adamauton.bsky.social
A super fun project. Congrats to Suyash Shringarpure, Wei Wang, Sotiris Karagounis, Xin Wang, Anna Reisetter, and Aly Khan on getting this out the door. Feedback very welcome!

www.medrxiv.org/content/10.1...
Large language models identify causal genes in complex trait GWAS
medRxiv - The Preprint Server for Health Sciences
www.medrxiv.org
adamauton.bsky.social
Definitely a fun result that I would not have expected! It's very early days, but it is exciting to think how LLM approaches could be combined with approaches that rely on functional data to incorporate prior knowledge of biology. Could we get the best of both worlds?
adamauton.bsky.social
Interestingly, you can probe the internal embeddings of these models, and we found that the causal genes tend to be 'proximal' to the phenotypes that they influence in embedding space. So they do seem to be learning some relationship between these two concepts.
adamauton.bsky.social
Nonetheless, the LLMs also have biases; they tend to favor genes with lots of existing literature, which perhaps isn't surprising given how they're trained. They also struggle to identify causal genes in loci containing large numbers of genes.
adamauton.bsky.social
We found this really surprising; and worried that the LLMs had been trained using the truth data. However, we tried to use benchmark data that was curated after the LLM training period as well as a benchmark dataset not available on the internet.
adamauton.bsky.social
The answer appears to be yes! In fact, using a *really simple* approach, LLMs appear to outperform state-of-the-art methods at identifying the causal gene in a variety of 'gold standard' truth datasets!