This derives from our SMBE 2025 symposium: βGene Trees and Beyond: Genealogical Methods and Their Applications in Evolutionary Geneticsβ.
09.12.2025 03:26 β π 0 π 0 π¬ 0 π 0@yundeng.bsky.social
Postdoc in Pritchard lab at Stanford University. Previous PhD co-advised by Yun Song and Rasmus Nielsen at UC Berkeley.
This derives from our SMBE 2025 symposium: βGene Trees and Beyond: Genealogical Methods and Their Applications in Evolutionary Geneticsβ.
09.12.2025 03:26 β π 0 π 0 π¬ 0 π 0With @szhan.bsky.social, @yulinzhang.bsky.social, Chao Zhang and Bingjie Chen, we wrote a Perspective about unifying the tree-based method across phylogenetics, population genetics and cell biology: arxiv.org/abs/2512.05499.
Reposts are greatly appreciated!
BAPG 2025 was a blast. Looking forward to seeing folks in Davis in Spring 2026! bapg2025.github.io/bapg2025stan...
07.12.2025 03:58 β π 10 π 7 π¬ 1 π 0Our new ancient DNA paper has just been published!
We present 28 new genomes from southern Africa - several of them high-coverage whole genomes.
Exciting to be moving towards population-level representation of ancient southern African genetic diversity!
www.nature.com/articles/s41...
Excited to share work from my postdoc with @docedge.bsky.social and collaborators Matt Pennell and @jgschraiber.bsky.social, newly out over the weekend: www.biorxiv.org/content/10.1... (1/6)
01.12.2025 19:09 β π 60 π 28 π¬ 2 π 2www.biorxiv.org/content/10.1...
We finally submitted the earlier preprint to a journal after massive restructuring.
We've expanded the REML section for those interested in the method. We clarify that ARG-LMM estimates mutational variance and not additive variance.
Interested in pleiotropy dissection but not sure where to start, which methods are useful, which studies offer illustrative examples, or how to robustly validate your results? Look no further π rdcu.be/eSfAZ
28.11.2025 13:10 β π 41 π 15 π¬ 0 π 0We've got a really cool preprint out in collaboration with @lpachter.bsky.social's awesome student Cat Felce. Using biophysical models and RNA-seq data, we explore the mechanisms of selective constraint on mRNA abundance, finding constraint on decay rate www.biorxiv.org/content/10.1...
26.11.2025 17:25 β π 27 π 8 π¬ 1 π 0Work from my amazing undergrad @leyan-wang.bsky.social is just preprinted! TL;DR: If you worry that ARG methods might fail on unphased data due to phasing errors, you may not need to.
Check it out & consider reposting to support a great young scientist!
Hitting refresh on biorxiv for a paper to appear... realized my first biorxiv preprint was more than 12 years ago, and on arXiv two years before that! Preprinting sure seemed strange at the time, but it's become my favorite part of the process!
www.biorxiv.org/content/10.1...
arxiv.org/abs/1208.0634
The tool is available at github.com/YunDeng98/PO.... It should be usable generally for tskit formatted ARGs. Let me know if you have any questions! (n/n)
25.11.2025 20:27 β π 1 π 0 π¬ 0 π 0POLEGON can also accommodate mutation rate variation along the genome by taking a mutation map. We used a mutation rate estimation from Roulette and re-estimated the pairwise TMRCA in the HLA region. The trans-species polymorphism signal is stronger than what SINGER reports (C). (10/n)
25.11.2025 20:27 β π 2 π 0 π¬ 1 π 0With the help from @wsdewitt.github.io, we also improved the mutation rate estimation, by not assuming uniform placement of mutations on branches, which is incorrect when mutation rate changes over time. We implemented a new algorithm with better accuracy (A, B). (9/n)
25.11.2025 20:27 β π 2 π 0 π¬ 1 π 0It also led to good performance of population size history estimation of the CEU and YRI model in simulation benchmarks (A, B). Also when applied to the 1000 Genomes Project, it has led to similar results to other popular methods (C, D). (8/n)
25.11.2025 20:27 β π 1 π 0 π¬ 1 π 0We name our method POLEGON, and it is shown to improve the performance of SINGER on ARG inference accuracy in a few commonly used statistics: pairwise TMRCA, its distribution, local diversity, and local mutation density. (7/n)
25.11.2025 20:27 β π 0 π 0 π¬ 1 π 0The strategy of combining flat prior and ARG rescaling is shown to be adaptive to different demographic models, such as constant-size, CEU model (featuring OOA bottleneck), and YRI model (mainly expansion), when provided with simulated ARGs (C). (6/n)
25.11.2025 20:27 β π 0 π 0 π¬ 1 π 0Normally a coalescent prior is needed as the mutation data is sparse. Yet we figure out that we can perform MCMC only using the flat prior, and use ARG rescaling (introduced by SINGER) as an adjustment (A). This greatly simplifies the math. (5/n)
25.11.2025 20:27 β π 2 π 0 π¬ 1 π 0Goal here: tune the node ages such that branch lengths best match the number of mutations on them. We perturb the age of each node while fixing the others (C), to perform MCMC using a node-wise likelihood. The perturbation must not violate any parent-child ordering (D). (4/n)
25.11.2025 20:27 β π 1 π 0 π¬ 1 π 0The ARG can be viewed as a sequence of marginal trees (A). By merging the same node across trees (which must have the same age) we now have a Directed Acyclic Graph with mutations mapped to edges connecting these nodes (B). (3/n)
25.11.2025 20:27 β π 2 π 0 π¬ 1 π 0This project is joint with @wsdewitt.github.io , @yun-s-song.bsky.social and Rasmus Nielsen. (2/n)
25.11.2025 20:27 β π 0 π 0 π¬ 1 π 0The last work of my PhD is finally out: www.pnas.org/doi/10.1073/...! This work is about accurately estimating branch length in the Ancestral Recombination Graph (ARG), which is achieved by a really simple framework with minimal assumptions. (1/n)
25.11.2025 20:27 β π 48 π 16 π¬ 1 π 2In 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 wasnβt expecting.
Iβm not sure if this is all that interesting or relevant, but at least itβs short.
Looks super fun. Already applied!
21.11.2025 07:29 β π 0 π 0 π¬ 0 π 0@hakha.bsky.social and I wrote a Research Briefing (with a lay summary + "behind the scenes") of our paper on how genes are prioritized by GWAS and rare variant burden tests. π§¬π§ͺ
www.nature.com/articles/d41...
SAVE THE DATE: the yearly NY Population Genetics meeting will be back on March 9 2026, generously hosted by the
@simonsfoundation.org. Details to follow. Please RT.
I am so excited to share new work on a TE insertion that regulates iridescence in swordtails, led by fantastic grad student @nadiahaghani.bsky.social and with help from many coauthors! In a time that has been so difficult to navigate, this & other projects have kept my spirits up: shorturl.at/NE65A
12.11.2025 20:34 β π 186 π 69 π¬ 3 π 15Super excited that the bulk of my PhD work is now preprinted! Here we used whole-community competition, or coalescence, experiments to quantify selection acting on genetically diverged strains within larger communities. (1/n)
www.biorxiv.org/content/10.1...
An empirical approach to evaluating the prevalence of long-lived balancing selection in humans--and important limitations. Work by @hannahmm.bsky.social
11.11.2025 19:14 β π 62 π 35 π¬ 0 π 0How do GWAS and rare variant burden tests rank gene signals?
In new work @nature.com with @hakha.bsky.social, @jkpritch.bsky.social, and our wonderful coauthors we find that the key factors are what we call Specificity, Length, and Luck!
π§¬π§ͺπ§΅
www.nature.com/articles/s41...
Exciting new study led by @ekerdoncuff.bsky.social and @meaghanmarohn.bsky.social on the evolution of Lactase Persistence in South Asia.
www.biorxiv.org/content/10.1...