1/ Our new paper is out in @CellGenomics 🎉
We introduce FastGxC, a fast and powerful method for mapping eQTLs in bulk and single cell sequencing studies and quantifying how their effects vary across tissues and cell types.
https://t.co/9y5pxJ8fLf
Our perspective on heritable confounders in big GWAS meta-analyses on psychiatric disorders is now online @NatureGenet: https://t.co/Nkh1ejGcun, with @andywdahl, @jonathan_flint1, Richard Border et al. Small thread for context 1/n
Our paper, “Protein–protein interactions shape trans-regulatory impact of genetic variation on protein expression and complex traits,” is now online in Nature Genetics.
Link 👉 https://t.co/bLJmv30TS2
Happy to share our new preprint from @SashaGusevPosts and @nmancuso_ labs! We introduce Mr. PEG, a framework integrating perturbational screens, eQTL, and GWAS data to identify mediating genes for complex traits. (1/n) https://t.co/YShpOyKLw0
🧬 Do genetic variants interact in humans?
For years, the answer was “probably, but we lacked solid statistical evidence.” We now bring one of the strongest pieces of evidence to date.
Thrilled to share our latest work, FAME, now at Nature Genetics: https://t.co/vXkP7OQWON
Great science happens at the intersections. STATGEN is a fantastic forum to connect, challenge assumptions, and raise the bar for rigor in genetics and genomics.
Submit an abstract by December 15, 2025: https://t.co/yFHKXwqV2U
Conference Website: https://t.co/BoGAFebKsL
1/3 Metacells boost power in single-cell RNA-seq & multiome analysis. But without checking homogeneity, they risk forming dubious metacells that bias discoveries.
We introduce mcRigor: a statistical safeguard for rigorous metacell analysis.
👉 https://t.co/nSt9JBGJOk
🚀 Introducing Paper2Agent - a system that turns static research papers into interactive AI agents you can chat with and use the tools/data in the paper.
Just ask, “Run this paper’s method on my data.” The paper agent will handle the task for you. 1/n
excited to share our new preprint looking at mosaic chromosomal alterations in blood whole genome sequencing data! i learned tons working on this project, and i hope our findings are of interest to those thinking about CH, somatic mosaicism, and genetics.
https://t.co/HUgGESfBH8
Happy to share that our work from the @nmancuso_ lab is out in @NatureGenet! We developed SuShiE, a multiancestry fine-mapping method for molecular traits. https://t.co/8gySuJkDEw
The fifth paper from the group this year. Led by a former postdoc @imyingchulo, our evaluation of polygenic scores (PGS) for BMI and T2D for Native Hawaiians is published in @CommsBio!
https://t.co/LpuPI02KvG
Check out our scPrediXcan paper
https://t.co/Pcni6LfrNg
Led by talented @Charles_Zhou12, supervised by @MengjieChen6
and me, with thanks to many contributors
scPrediXcan integrates deep learning and single cell expression data into a powerful cell type specific TWAS framework.
Work with @jnovembre on extending FEEMS to represent long-range gene flow on a background migration surface! The software for the method, called FEEMSmix, is readily available at https://t.co/SsOeAc2c7c #popgen#Genetics#evolution
Family members share quite a lot genetically and environmentally. Curious about how we quantify the resemblance using any possible genealogy-traceable relatives to study human phenotypes?Join us at Exhibit hall Board 4118w to explore our latest work! 😀 #ASHG24
Excited to be heading to #ASHG24 today! I’ll be presenting at Wednesday’s poster session (Board 3016W) about our latest work on spatial sampling strategies & deleterious variants - come say hi!
I am very excited to share my study, trans-regulation of proteome through protein-protein interactions, at #ASHG2024 ! Please check my poster number 6077 on Wednesday (11/6) afternoon!
Excited to share our work on alternative splicing (AS)
https://t.co/9zf3WRSPR5. This version, compared to the biorXiv one, is much more succinct due to word limits; I hope you will have a look. Congrats to @BenjaminFair3 and @cfbuenabad for their incredible work!🧵⬇️