Very excited to share our recent work in my VERY FIRST tweet! Lots of thanks to Qiongshi Lu, there were tons of advising behind all the work. Try the package on your GWAS! Any feedback is welcome and we'll add more features soon.

Celebrate Halloween with new preprint!🎃We introduce a new method to identify precise genome regions with local genetic correlations between traits. This was a fun collaboration with Hanmin Guo and Lin Hou from Tsinghua University (all those late-night calls🤣) biorxiv.org/content/10.110…

🍾New preprint from us! We found it puzzling that rare and common variants do not affect the same genes in autism. In this project, we generalize TWAS to trio data and highlight a key TF POU3F2 that regulates many ASD genes affected by rare mutations biorxiv.org/content/10.110…

Super excited to share our preprint on decomposing the direct and indirect genetic effects using only GWAS sumstats. A very fun project! Started < 1 year ago; really thankful to get it out during a pandemic! Miss the lunch over which Q Qiongshi Lu peached the idea to me.

New preprint by MS student Jiawen Chennn (now doing her PhD at UNC) 🍾 We built a tool (named ORIGAMI) to simulate offspring genome-wide data from parental genomes. It accounts for technical issues such as genetic distance, sex difference, etc. #ASHG2020 biorxiv.org/content/10.110…

I'm not afraid to put RNA on blast

Excited to finally throw our hat in the ring. Here is our new method (named X-Wing) for cross-ancestry PRS. A key takeaway is that we now do EVERYTHING with sumstats alone which is a major methodological advance. Work is led by Jiacheng Miao & Hanmin. biorxiv.org/content/10.110…

Extremely excited to see my (first first-author) paper now out PNASNews! We develop a novel framework named QUAIL that uses quantile regression to identify SNPs associated with phenotypic variability (vQTL). Work is supervised by Qiongshi Lu. pnas.org/doi/abs/10.107…. 1/n

Very excited to share our recent work! PUMA-CUBS can fine-tune, benchmark, and do ensemble learning for various PRS methods using just one GWAS sumstats. Come by poster 3346 today #ASHG22 to see more details about our method!

Optimizing and benchmarking polygenic risk scores with GWAS summary statistics biorxiv.org/content/10.110…

You'll want to check out Jiacheng Miao's new paper if your work involves gene-environment interaction. This is our best GxE work so far. We introduce a statistical framework named PIGEON to reimagine how GxE studies could and should unfold. biorxiv.org/content/10.110…

Qiongshi Lu, Yuchang Wu Zijie Zhao and I show that sibling relative rank shapes associations between PGS and educational attainment in PNAS Nexus Implications for within-family inequalities and interpreting PGS Paper: shorturl.at/ENPST UW-Madison CDHA La Follette School of Public Affairs Social Genomics at the University of Wisconsin