New method from our group for identifying disease-mediating genes using perturb-seq, eQTL, and GWAS data. Check out the thread:

Happy to share our new preprint from @sashagusevposts.bsky.social and @nmancuso.bsky.social labs! We introduce Mr. PEG, a framework integrating perturbational screens, eQTL, and GWAS data to identify mediating genes for complex traits. (1/n) www.medrxiv.org/content/10.6...

I'm just delighted to announce our new preprint on genome-scale perturb-seq in CD4+ T cells. We learned both general lessons about the power of perturb-seq, and specific lessons about T cell biology. Led by amazing postdocs Emma Dann and Ronghui Zhu, with my wonderful collaborator Alex Marson.

Glad to see everyone!

📢OUT TODAY @natgenet.nature.com 📰Improved multiancestry fine-mapping identifies cis-regulatory variants underlying molecular traits and disease risk. By @zeyunlu.bsky.social, @nmancuso.bsky.social and colleagues. ⬇️ www.nature.com/articles/s41...

Super happy!!!!!

I'm become quite partial to cell-type-biased (population-biased) terminology rather than cell-type-specific (population-specific) when it comes to QTLs, because it reflects better that these are a result of power, rather than biological differences.

Congrats on the first PhD work!! Very nicely done! @alnahid.bsky.social

👋 Hi everyone! We're the Center for Genetic Epidemiology, here at Keck School of Medicine, USC! Please follow us for updates on our member's research, community engagement, and activities! Stay tuned for more content 🧬 🧪 💻 👨‍🔬 👩‍🔬

Our paper on mutli-omics analysis of ischemic stroke is now online! Initiated and led by Dr. Junghyun Jung (now at Cedars) with wonderful support of @adamdesmith.bsky.social . 🧬 academic.oup.com/hmg/advance-...

Thank you so much!!!

Dear statgen friends at #ASHG2023 #ASHG23, my lab is #hiring #phds #postdocs to work on heterogeneity and trajectories of psychiatric disorders using EHR/cohorts across US/Europe/Asia (incl. data from PGC), lots of cool stuff to be done! Please reach out by email! Ad link: tinyurl.com/7tae8k

Thank you so much!

MancusoLab at #ASHG2023 😎 🧬

Meet Rosace, a robust deep mutational scanning analysis tool that incorporates positional information and mean-variance shrinkage. Check it out if you are running DMS experiments or handling DMS data! (1/n) www.biorxiv.org/content/10.1...

I'm writing a molecular perspective on heritability, behavior, (and eventually) race/ancestry, group differences. The idea is to start with what we've learned from genetic data and then work backwards to what we used to know from classical studies. gusevlab.org/projects/hsq/

Excited to see Dong's work on a bayesian approach for scalable, ultra-sparse PCA models 🎉 We apply extend the wonderful variational approach of sum of single effects in regression modeling (i.e. SuSiE) to latent factors in order to compute PIPs of loadings. 🧬💻 www.sciencedirect.com/science/arti...

*street fighter voice* "Round 2" So happy to see Eleanor's work out in AJHG! Along with Steven Gazal, Eleanor developed a factor analysis model of GWAS sumstats to identify and characterize pleiotropy. 🧬🧬💻

Super excited to see my first first-author paper on AJHG, in which we created FactorGo as a scalable tool to learn shared genetic components across traits using thousands of GWAS summary stats. Thanks to mentorship by Drs. @nmancuso.bsky.social and Steven Gazal. www.sciencedirect.com/science/arti...

Thrilled to see our paper published in AJHG today: Estimating heritability explained by local ancestry and evaluating stratification bias in admixture mapping from summary statistics with my amazing advisors @charleston.bsky.social @nmancuso.bsky.social

So excited to see this out! Tsz Fung developed a model to estimate heritability in complex traits from admixture mapping summary statistics, in a way that adjusts for latent population structure. Please check it out! 🧬 🧬💻

Thrilled to receive this reward! Have learned so much through this conference. And shout out to my amazing advisor Nick!

My first skeet on work from our group! In case you need weekend reading, very proud of the new preprint spearheaded by the superb recent PhD, Caoqi Fan, on leveraging the genealogical trees to better infer the demographic histories of human populations! www.biorxiv.org/content/10.1...