PhD Candidate @ Penn 🧬 Genomics and Computational Bio 💻
https://orcid.org/0000-0001-8521-9543
Labs: @struangrant.bsky.social, Laura Almasy
Max Dudek
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Excited to finally share my recent preprint with @struangrant.bsky.social!
www.biorxiv.org/content/10.6...
We collected chromatin accessibility QTLs (caQTLs) from 10 different studies and observed that they are less depleted at selectively constrained genes compared to eQTLs.
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Check out @maxdudek.bsky.social paper on fpQTLs!
www.cell.com/ajhg/fulltex...
I will be speaking about this work next week at the Probabilistic Modeling in Genomics conference in Berkeley on Thursday @ 11:30 am. If you’re attending, come and say hi!
I'll be at #ASHG25 this week! Check out my poster Wed 2:30-4:30, at 5071W.
"Bridging the GWAS-eQTL colocalization gap with insights from caQTL analyses" with @struangrant.bsky.social and Laura Almasy
We also present a simplified model of QTL discovery, suggesting that caQTL sensitivity more easily captures regulatory variants than eQTLs at constrained genes. Since GWAS hits are enriched at these genes, caQTLs can supplement eQTLs in interpreting the molecular mechanisms of trait heritability.
Most p-value explanations that I've come across focus only on the mechanical process of calculation, without telling students why they're doing it or how to interpret the results. So this video is me attempting to motivate the concept of hypothesis testing from first principles.
My foray into video creation! This is my entry into #SoME4, an annual exposition of math-explainers. A friendly introduction to hypothesis testing, with minimal math background required.
www.youtube.com/watch?v=qEE0rzytHls
The 2026 Probabilistic Modeling in Genomics (ProbGen) meeting will be held at UC Berkeley, March 25-28, 2026. We have an amazing list of keynote speakers and session chairs:
probgen2026.github.io
Please help spread the news.
With @struangrant.bsky.social, @ajhgnews.bsky.social
Full text: authors.elsevier.com/a/1ky1DgeXDywz
Our new paper is out today in AJHG! We applied a "footprinting" algorithm to ATAC-seq data from 170 livers to find non-coding variants associated with TF binding. We show that these "footprint QTLs" (#fpQTLs) can fine-map GWAS loci at base-pair resolution.
www.cell.com/ajhg/fulltex...
