Jonathan Pritchard

Amazing photos! Thanks for sharing

Proud of the latest edition of my free intro biostats book.

gitrepo: github.com/ybrandvain/b...
book: ybrandvain.github.io/biostats/

Not complete but at a good point to take a break, and I think its quite usable

dm me with comments , ideas etc

For population genetics and evolutionary biology folks in the Bay Area: the next BAPG will be hosted by Stanford CEHG and the Petrov lab at Stanford on 12/6.
Registration is free but required. The deadline for talk submission is Nov. 16. Hope to see you soon! Pls RT!
docs.google.com/forms/d/e/1F...

I'm recruiting a postdoc for my group (based in beautiful Eugene, OR). Please get in touch if you're interested, esp if you'd like to chat at #ASHG25!

I’ll be attending #ASHG25! I’m currently hiring for (i) a Senior Research Scientist or (ii) a Postdoc position in my lab. If you’re interested, please reach out to arrange a time to meet and discuss.

Announcement for the Wellcome Connecting Science, hybrid conference 'Biology at Scale: From Variants to Cellular Programs and Functions' Conference dates: 29 June–1 July 2026 Location: Hinxton Hall Conference Centre, UK, and online.

Save the date for a new conference exploring genomics for linking polygenic signals to mechanistic insights!

Biology at Scale: From Variants to Cellular Programs & Functions is opening soon for registrations. #BiologyAtScale26

📍 Wellcome Genome Campus, UK
📅 29 June -1 July 2026
👉 bit.ly/4mYud02

Heritability and target size underlie differences between trait architectures: examples for three traits. Top: Height (blue) and platelet crit (red) have the same heritability per site h2/L, but height has a much higher mutational target size L. This results in many more hits for height (1533) than for platelet crit (648) (2 left panels). However, the marginal distributions of effect sizes, MAFs, and z-scores of hits are nearly identical for the two traits (3 right panels). Middle: Height (blue) and FEV1 (gold) differ in h2/L, but have similar L. Consequently, the joint distribution of z-scores and MAFs of their hits are markedly different (2 left panels), as are the marginal distributions of hit effect sizes, MAFs and z-scores (right). Bottom: After scaling by their respective , and imposing the more stringent scaled significance threshold (corresponding to FEV1) for both traits, the joint distribution of z-scores and MAFs of their hits (2 left panels) and the corresponding marginal distributions (3 right panels) are highly similar.

Genetic architectures of #ComplexTraits vary widely. @yuvalsim.bsky.social @jkpritch.bsky.social @gs2747.bsky.social &co show these diffs arise from mutational target size & heritability per site; when controlled for, all tested traits have similar architectures @plosbiology.org 🧪 plos.io/47mZXqT

Thanks for the great response! All our meeting slots are now taken (17 meetings with early-career scientists at all stages, representing many countries!).

But you can always feel free to email me with questions about any of the above. --Jonathan

Maybe so. And did I tell you about my new interest in casual inference? It's so much easier than the usual kind.

Ancestry and Education Indirect, direct, confounded and quasi-causal

Blog post: Ancestry and Education
Indirect, direct, confounded and quasi-causal.

I write about a preprint by Wang et al, in which they look for associations with genetic ancestry in an admixed Mexican population. They found genetic effects for height and Type-II diabetes, but not for education.

If you're interested, please email me and my assistant Lily (our emails are on my lab's contact page); please include at least a sentence about yourself, and your cv, to introduce yourself. Let us know if you have major scheduling constraints.

Another possible topic is that we typically hire 1-2 postdocs per year. This year I'd like to add at least one person with functional genomics/single cell/perturb-seq interests, especially relating to immune cells. Our broader lab interests are in popgen and complex traits.

I'll be very happy to chat about career advice, anything about human genetics, my HG textbook, or absolutely anything else that's on your mind. We'll schedule ~15 min blocks.

I want to try something again at #ASHG25 this year: I'll block some time on Thursday and Friday afternoons to meet with trainees who would be interested to chat on any topic.

I did this last year and it was great to meet a whole bunch of new people, at all career stages!

It's the start of the year-long intro course to our Human Biology major. I teach a week on principles of evolution + tree of life, and a week on human evolution and history.

Thanks, love this thread! I was just teaching about this last week, wish I'd had some of these images.

What question is being debated?

Congratulations! Great book choice!

Thanks for sharing the great news. Wishing you the best for the remainder of the obligated funds.

Thank you, and sorry about the delay... I'm finally making progress on Part 4. I should have some of this out by end of the calendar year and hopefully the rest next spring.

Collateral mutagenesis funnels multiple sources of DNA damage into a ubiquitous mutational signature Mutations reflect the net effects of myriad types of damage, replication errors, and repair mechanisms, and thus are expected to differ across cell types with distinct exposures to mutagens, division ...

In these dark times, it comes as a rare pleasure to highlight @natanaels.bsky.social ‬ & @marcdemanuel.bsky.social's work on germline and somatic mutations in humans. 1/n
www.biorxiv.org/cgi/content/...

🎉scverse conference 2025 Call for Abstracts DEADLINE EXTENDED! 🎉

We're excited to announce that the deadline to submit abstracts for the scverse Conference 2025 has been extended to September 15, 2025!
🧵

#scverse #scverse2025 #SingleCell #Conference

That's wonderful news, and so well deserved for you and the entire bioRxiv team!

Delighted to share some wonderful work by our recent grad Matthew Aguirre on theoretical models of GRNs, and what eQTL data can teach us about these!

tskit_arg_visualizer: interactive plotting of ancestral recombination graphs Summary: Ancestral recombination graphs (ARGs) are a complete representation of the genetic relationships between recombining lineages and are of central importance in population genetics. Recent brea...

Excited to share our new preprint for the tskit_arg_visualizer Python package! ARGs can sometimes feel like a black box, so
@yanwong.bsky.social and I have been developing a method to programmatically drawing these graphs.

🔗 arxiv.org/abs/2508.03958

1/6

🧠 Meet the keynote speakers for the 2025 scverse conference!
Panos Roussos, Professor at Icahn School of Medicine at Mount Sinai
🧵

@panosroussos.bsky.social
#scverse #scverse2025 #SingleCell #SpatialTranscriptomics #Conference #Keynote

Grateful for this terrific commentary by @tomonroe.bsky.social in @jclinical-invest.bsky.social on our paper that is out in final print format today: www.jci.org/articles/vie...

Please check it out: www.jci.org/articles/vie...

Thank you Cedric! Thread by the first author Matt Aguirre incoming tomorrow!

Figure 1. Illustration of different genetic and evolutionary mechanisms that can contribute to the evolution of hybrid incompatibilities.

"The molecular evolutionary basis of species formation revisited"
by Molly Schumer (@mollyschumer.bsky.social) & colleagues

"The origin of species has long fascinated biologists, but determining the genes [involved] has only recently become possible in non-model organisms."

shorturl.at/wG0B5

Incredibly proud of this work where we developed a method for understanding the information contained in millions of genomes. Another example of NIH funded research.