Doc Edge

Doc Edge

@docedge.bsky.social

Associate professor in quantitative and computational biology @USC. Genetics, evolution, statistics. https://edgepopgen.github.io/edgelab/

3.6K followers1K following74 posts

Doc Edge reposted

Replying to @shannonvallor.bsky.social

I get that making music (as opposed to listening) is not everyone’s chosen pastime, but man. Man. The one thing that people have never stopped doing, no matter how bad things get or how paltry the rewards, is making music. This is Intro to Being Human stuff. Most of us literally learn it on Day One

Doc Edge reposted

It's been 30 years (!!!) since the conceptualization of GWAS. GWAS has driven tons of discoveries, but with recent experimental developments (CRISPR, single-cell omics), we thought it was time to think about how to drive the next 30 years of human genetics. doi.org/10.5281/zeno...

doi.orgTrait Causal Models: from GWAS, perturbations, and omics to predictive models of human biologyA central goal of human genetics is to understand the molecular pathways that link genes to functions in cells and tissues, and ultimately to their roles in health and disease. Genome-wide association...

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Every tech ‘innovation’ is now designed to ensure that living your life leaves no mental or emotional trace in your physical being

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Doc Edge reposted

Please share! Applications open now to our comp bio PhD program at USC ⭐️ 40+ years of computational biology ⭐️ Yet we do not stand still! ⭐️ Join 12+ core and 30+ joint faculty at the cutting edge of biology ⭐️ Genomics, epigenetics, ML + AI, systems biology, population genetics, +++ Come join us 🚀

Doc Edge reposted

academic.oup.comMean fitness is maximized in small populations under stabilizing selection on highly polygenic traitsAbstract. Stabilizing selection commonly acts on complex traits that affect individual fitness. Here, we relate mean fitness under stabilizing selection to
Aaron Ragsdale@apragsdale.bsky.social

In an earlier project simulating quantitative traits/stabilizing selection in a human-Neanderthal model, I became a bit curious about some observed fitness dynamics that I wasn’t expecting. I’m not sure if this is all that interesting or relevant, but at least it’s short.

Doc Edge reposted

@roshnipatel.bsky.social and I wrote about using biobanks to learn about evolution, and how those findings shape interpretations of association studies. We focused on estimating evolutionary constraint and relating relating selection on variants to selection on traits and include open questions.

Jeffrey P. Spence, Roshni A. Patel: Insights into human evolution from large genetic biobanks https://arxiv.org/abs/2609.12297 https://arxiv.org/pdf/2609.12297 https://arxiv.org/html/2609.12297

Please repost: My department (quantitative and computational biology at the University of Southern California) is hiring a teaching-track faculty member. The new hire will focus on teaching statistics courses to biology students. Apply by Dec 1 usccareers.usc.edu/job/los-ange...

usccareers.usc.eduFull-Time, Teaching-Track Faculty Position in Quantitative and Computational Biology at USCLearn more about applying for Full-Time, Teaching-Track Faculty Position in Quantitative and Computational Biology at USC

Doc Edge reposted

I’m looking to hire an NIH funded postdoc to join our lab here at Davis (please RT). Ongoing areas of interest include: 1) polygenic signals of selection from time series, ARGs, GWAS, etc 2) The interpretation of GWAS, polygenic scores, & sources of confounding

Doc Edge reposted

Today, we at the @arbelharpak.bsky.social & @docedge.bsky.social labs are excited to share our updated manuscript for PGSUS, a tool for diagnosing confounding in polygenic scores (PGSs).

biorxiv.orgA Litmus Test for Confounding in Polygenic ScoresPolygenic scores (PGSs) are being rapidly adopted for trait prediction in the clinic and beyond. PGSs are often thought of as capturing the direct genetic effect of one's genotype on one's phenotype. ...
Samuel Pattillo Smith@sampatsmith.bsky.social

Think of a polygenic score you care about. Are direct genetic effects driving variation among people in this predictor? Or perhaps other, confounding factors? We at the @arbelharpak.bsky.social & @docedge.bsky.social Labs developed a method to tackle this question. [1/n]

Doc Edge reposted

This is the letter kids got at the end of Dolly’s Imagination Library. I defy you to read this and not cry.

Doc Edge reposted

The first manuscript from my postdoc is out (doi.org/10.64898/202...)! We introduce 𝐭𝐢𝐦𝐞-𝐬𝐭𝐫𝐚𝐭𝐢𝐟𝐢𝐞𝐝 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 for studying population structure change over time, with the temporal resolution of Ancestral Recombination Graphs (ARGs). Joint with @jkpritch.bsky.social and @jeffspence.github.io. 1/n

google.comCoalescent-Based Time-Stratified Statistics Reveal Population Structure Dynamics using the Ancestral Recombination GraphMany questions in population genetics are concerned with reconstructing evolutionary history through time, such as inferring how population structure has changed throughout the past. Yet, many existing approaches have only an implicit temporal component, using quantities such as allele frequency or haplotype length as rough proxies for age. Recent advances in the inference of Ancestral Recombination Graphs (ARGs) have made it possible to estimate the entire sequence of local genealogies along the genome. These genealogies explicitly encode how samples are related to each other at different time points in the past, enabling the inference of how population structure has changed over time. To this end, recent work has used ARGs to define time-stratified versions of widely-used population genetics summary statistics in an attempt to capture the population structure present within a particular time window. Here, we show that naive approaches result in statistics that cannot be interpreted solely in terms of the population structure present within the time window they are targeting. To address this problem, we introduce a framework of coalescent-based time-stratified statistics, which use coalescence probabilities to partition classical summary statistics into interval-specific contributions. Using coalescent simulations, we demonstrate that these statistics accurately isolate population structure at different temporal depths and avoid spurious signals. Our results highlight the necessity of integrating coalescent theory into ARG-based temporal analyses and provide a principled and practical foundation for studying the dynamics of population structure through time. ### Competing Interest Statement The authors have declared no competing interest. National Human Genome Research Institute, https://ror.org/00baak391, R01HG014005

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Doc Edge reposted

For Fall 25, I made a number of in class activities very much on the theme of "Here is Chat-GPT's terrible answer to material we've just covered in this intro bio class. Tell me what's wrong with it". Well, it's a year later, and new models have been released. So let's see how it fares now:

Doc Edge reposted

Avocados come in 2 varieties - A-types start each day female and switch to male midday. B-types do the reverse. In work just published from the last chapter of my PhD, we show this system evolved 40+million yrs ago and is regulated by alleles of 1 transcription factor www.pnas.org/doi/10.1073/...

pnas.orgBalanced polymorphism in a floral transcription factor underlies the ancient rhythm of daily sex alternation in avocado | PNASIn avocado and certain wild relatives in Lauraceae, a highly synchronized daily rhythm of floral sex timing promotes cross-pollination between two ...

Doc Edge reposted

The anatomy of an AI-supported academic article is becoming more apparent. I desk reviewed ~70 manuscripts this week for our journal. Reckon 20ish had significant AI assistance. On top of hundreds of others recently I'm starting to see patterns. Are other editors are seeing the same or similar? 1/

Doc Edge reposted

It’s truly astonishing to see how comprehensively the US government is tearing down every part of the system that has made it up until now a world-leading power in science, research, and technological development. The entire world will suffer from this wanton destruction.

Dan Vergano@danvergano.bsky.social

White House proposes new rules giving political appointees final approval of research grants These proposed Office of Management and Budget regulations would render the federal research grant review process opaque www.scientificamerican.com/article/whit...

Doc Edge reposted

I am beyond excited to announce that I will be joining the Dept. of Biosciences at Rice as an Assistant Professor this summer! I’m incredibly grateful to my mentors and colleagues for their guidance and encouragement throughout this journey. More soon—I’ll be recruiting students and postdocs!

Doc Edge reposted

Hi Genetics/Comp-Bio community 👋 Interested in mentoring a comp-bio research student in East Africa over the summer? Do you have any experience in bioinformatics, biostats, genome/RNA-seq analyses, ML, or metagenomics? We'd love to have you as a mentor in our new program! 🧵 (1/n)

Re-upping this: applications we get by next week will get full consideration

Doc Edge@docedge.bsky.social

Please repost: My department at USC is hiring for a teaching-track faculty position. We are looking for someone principally to teach statistics for biologists, but there will be opportunities for other courses in statistics & algorithms applied to biology usccareers.usc.edu/job/los-ange...

Doc Edge reposted

Please repost: My department at USC is hiring for a teaching-track faculty position. We are looking for someone principally to teach statistics for biologists, but there will be opportunities for other courses in statistics & algorithms applied to biology usccareers.usc.edu/job/los-ange...

usccareers.usc.eduFull-Time, Teaching-Track Faculty Position in Quantitative and Computational Biology at USCLearn more about applying for Full-Time, Teaching-Track Faculty Position in Quantitative and Computational Biology at USC

I should add that we only were approved to advertise recently and are hoping to hire someone for August, so interested parties should apply soon. If you have questions, please feel free to get in touch

Doc Edge reposted

This is so unbelievably pathetic

Aaron Rupar@atrupar.com

RFK Jr: "A Democratic senator claimed it's mathematically impossible to have a drug drop by 600%. I said, 'Well, if the drug was $100 and it raises to $600, that would be a 600% rise. If it drops from $600 to $100, that's a 600% savings.'" Trump: "Right"

Great postdoc opportunity!

Jazlyn Mooney@jazlynmooney.bsky.social

I am hiring a popgen postdoc! Looking for a creative scientist to join us at USC to investigate recessive variation and complex traits in model or non-model species. The project is funded by a multi-year NIH grant, contract can be renewed. Job add & details 👇🏽 usccareers.usc.edu/job/los-ange...

Doc Edge reposted

For an update on our preprint about the mysterious signature SBS5, see: www.biorxiv.org/content/10.1.... New analyses throughout, but see Figure 5 in particular.

biorxiv.orgbiorxiv.org
Molly Przeworski@mollyprz.bsky.social

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/...

Doc Edge reposted

Thrilled to have been able to review 'The Paradox of the Organism: Adaptation and Internal Conflict', a volume edited by @arvidagren.bsky.social & Manus Patten. "...the reality that complex organisms function at all feels like pure magic, with the powers of molecular evolution behind the curtain."

Doc Edge reposted

Delighted to share our latest research from the 23andMe Research Team, just published in @nature.com ! We looked at data from >27,000 participants to uncover how human genetics influences weight loss efficacy and side effects of GLP-1 medications like semaglutide. A short thread 🧵👇

Brian and I were grad students together. He's a mensch, and the goons who torpedoed his funding and his livelihood are contemptible.

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Doc Edge reposted

We're already losing a generation of scientists because of the things this administration has done. Grad students not admitted, faculty jobs not available. It's a crisis we won't see the cost of for 10 years but we'll feel it

Jenna Norton@jenna-m-norton.bsky.social

This isn’t a “could face” situation. It’s a “are facing” situation. And brain drain will continue to happen as long as we undermine science in the US. www.nytimes.com/2026/04/04/b...

Doc Edge reposted

Why do schizophrenia GWAS signals look so flat across the genome? In our recent preprint, we explored why psychiatric disorders — and, more broadly, brain-related traits involving the central nervous system — appear to have unusual genetic architectures. 🧵1/n