Arjun Biddanda

@aabiddanda.github.io

Statistical and population geneticist | Postdoc @ JHU Biology | COYS | Costco enthusiast | aabiddanda.github.io

🧵 What if one reason fertility declines with age isn’t just genetic-but mechanical? Thrilled to share our new paper in @NatureCellBio : Elevated contractility drives implantation failure in mouse embryos from aged females… here’s what we found 👇 www.nature.com/articles/s41... 1/11

Elevated contractility drives implantation failure in mouse embryos from aged females - Nature Cell Biology

Cavanaugh et al. show that embryos from aged mice have increased contractility and tissue viscosity on embryonic day 4.5, which leads to poor spreading and attachment. Similar age-associated mechanica...

nature.com

New from 404 Media: we solved which AI company is buying massive shipments of rare books, scanning and destroying them to train AI. We put an Apple AirTag in a rare book, followed it. It ended up at an Amazon facility. Its logo is a dinosaur ripping through a book www.404media.co/we-tracked-a...

We Tracked a Shipment of Rare Books. It Ended at an Amazon AI Training Facility

We placed a tracking device in a shipment of rare books to see which AI company was buying it, and found an Amazon facility where Amazon scans and destroys books.

404media.co

B

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

Coalescent-Based Time-Stratified Statistics Reveal Population Structure Dynamics using the Ancestral Recombination Graph

Many 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

google.com

I think this work really underscores that we are at a turning point in human genetics. There is a growing consensus that doing good research in human genetics requires an expanded skillset (including, e.g., one that can navigate the relationship between genetics, ancestry, and pop descriptors) (1/)

Jayati Sharma, PhD, ScM@jayatirsharma.bsky.social · 2mo ago

In what has been a labor of love & joyful collaboration, we are super excited to share our preprint on recommendations towards the ethical and accurate use of population descriptors generated from a survey by trainees, for trainees. www.biorxiv.org/content/10.6...

P

Excited to share our new preprint, "Inference of elevated mutation rates and variant effects using 700k exomes"! - www.biorxiv.org/content/10.6... Using gnomAD v4, we estimate per-variant missense selection coefficients, and find loss-of-function (LoF) mutations with enhanced mutation rates.

Inference of elevated mutation rates and variant effects using 700k exomes

Genomic sequencing is now widely accessible for genetic diagnostics and is emerging as a component of newborn screening. This technological development generates the need to characterize incoming muta...

biorxiv.org

H

Minibwa is a hybrid of bwa-mem and minimap2 and the successor of bwa-mem for short-read mapping. ~4X/2.5X as fast as bwa-mem/bwa-mem2 for WGS reads at comparable accuracy. Native support of directional bisulfite-seq. Applicable to long reads. Preprint at arxiv.org/abs/2606.15357

Bild