New method from our group for identifying disease-mediating genes using perturb-seq, eQTL, and GWAS data. Check out the thread:
Zeyun Lu 鲁泽沄@zeyunlu.bsky.social · 7mo agoHappy 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...
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...
Integrating perturbational screens, eQTL, and GWAS data identifies mediating genes for complex traits
Most current GWAS-eQTL approaches prioritize genes whose mediating effects on complex traits act through cis-regulation, while trans-acting genes remain largely underexplored. Recent perturbational sc...
medrxiv.org
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.
Emma Dann@emmamarydann.bsky.social · 7mo agoTogether with @ronghuizhu.bsky.social, we are thrilled to present our new perturb-seq study of 22M primary CD4+ T cells, across donors and timepoints – the result of a decade-long collaboration between the Marson @marsonlab.bsky.social and Pritchard @jkpritch.bsky.social labs 🧵 tinyurl.com/gwt2025
📢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...
Improved multiancestry fine-mapping identifies cis-regulatory variants underlying molecular traits and disease risk - Nature Genetics
SuShiE is a multiancestry fine-mapping method for molecular quantitative trait loci that leverages linkage disequilibrium heterogeneity to improve resolution, infer cross-ancestry effect size correlat...
nature.com
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.
👋 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-...
Novel insight into the etiology of ischemic stroke gained by integrative multiome-wide association s...
Abstract. Stroke, characterized by sudden neurological deficits, is the second leading cause of death worldwide. Although genome-wide association studies (GWAS)
academic.oup.com
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
Postdoctoral Fellow in Statistical Genetics (f/m/x)
tinyurl.com
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...
Rosace: a robust deep mutational scanning analysis framework employing position and mean-variance sh...
bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution
biorxiv.org
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. 🧬🧬💻
Zixuan (Eleanor) Zhang@elezzx.bsky.social · 3y agoSuper 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...
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...
A scalable approach to characterize pleiotropy across thousands of human diseases and complex traits...
Genome-wide association studies (GWASs) across thousands of traits have revealed the pervasive pleiotropy of trait-associated genetic variants. While …
sciencedirect.com
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
Estimating heritability explained by local ancestry and evaluating stratification bias in admixture ...
This study reports a method to estimate heritability explained by local ancestry using admixture mapping summary statistics and evaluates potential biases in admixture mapping. The method provides a s...
cell.com
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! 🧬 🧬💻
Tsz Fung Chan@tszfung.bsky.social · 3y agoThrilled 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
Thrilled to receive this reward! Have learned so much through this conference. And shout out to my amazing advisor Nick!
Nicholas Mancuso @nmancuso.bsky.social · 3y ago🎉 Super proud of trainee @zeyunlu.bsky.social for his stellar abstract award and talk on multi ancestry fine mapping of molecular QTL data for PQG 2023! 🎉
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...
A likelihood-based framework for demographic inference from genealogical trees
bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution
biorxiv.org
