Check out our recent work led by @arielmadr Hamed Najafabadi in Nature Communications 🙌🙌

I'm immensely grateful for and proud of having been part of this wonderful team 🎆

Thrilled to have contributed to this amazing work led by Jiacheng Miao Qiongshi Lu, now out in Nature Genetics nature.com/articles/s4158…

NEW PREPRINT! Interested in Mendelian randomization and proteomics? We created a comprehensive multi-ancestry proteome-phenome-wide atlas of protein-disease associations in European, African, and East Asian ancestries! medrxiv.org/cgi/content/sh… Website: broad.io/protein_mr_atl…

Huge congratulations to my wife, Dr. Wenmin Zhang (not on X), on the IGES IGES James V. Neel Young Investigator Award 💕🎇 Her work with Guillaume Lettre JoseeDupuis and Rob Sladek: biorxiv.org/content/10.110…

Our paper on misleading biases in AD GWAS-by-proxy is published Nature Genetics. We identify the source of biases and explore strategies to reduce them Yuchang Wu Zhongxuan(John) Sun Paper📰: doi.org/10.1038/s41588… Software🧑‍💻: github.com/qlu-lab/GSUB Sumstats⬇️: qlu-lab.org/data.html

📣#ASHG2024 oral presentation alert for proteomics/MR/drug discovery enthusiasts! Join Chen-Yang Su for our lab's work on multi-ancestry proteome-phenome-wide MR to create a protein-disease atlas and highlight drug targets! 🕙: Nov 7 at 10:30 AM 📍: Four Seasons Ballroom 1 🔬

Another beautiful piece from Guillaume Butler-Laporte Who else routinely discards MHC in genomic analyses as I do? Maybe it is time to face the dragon! medrxiv.org/content/10.110…

#ASHG24 Interested in how to reliably use AI/ML to accelerate genetic discovery? Stop by poster 4151 this afternoon to chat!

📣Excited to share our paper in Nature Genetics! rdcu.be/d7mo0 Do plasma proteins mediate obesity’s effect on CAD risk? →Using two-step proteome-wide MR, domain-aware MR, epigenomics & scRNA-seq, we prioritized endotrophin as a mediator & potential therapeutic target A

Another great piece 🥳 Satoshi Yoshiji

My amazing friend and colleague Satoshi Yoshiji at my alma mater is recruiting. Great people, Great place, Great opportunity🎓

Beyond excited to share this new paper with all of you . It's the most fun we've ever had. We figured out how to study a latent index driving partner choice without measuring it directly🥂 Qinwen Zheng Preprint📰: biorxiv.org/content/10.110… Sumstats⬇️: qlu-lab.org/data.html

🧬New #publication in the AJCN from CDHA affiliate Tianyuan Lu, PhD & colleagues ➡️”Characterization of gene-environment interactions for vitamin D through variance quantitative trait loci: a UK Biobank-based genetic epidemiology study” doi.org/10.1016/j.ajcn…

Pleased to share our work in Diabetes, a research journal of the ADA 🧪

Our paper out in JCEM showing bias that can creep into Mendelian randomization studies via: 1. Collider bias due to participant selection 2. Indirect genetic effects 3. Collider bias due to GxE effects in nonlinear MR. Led by the great Tianyuan Lu, PhD academic.oup.com/jcem/article/1…

Our COSIME@natmachintell backpropagates learnable optimal transport on multi-view deep neural networks to prioritize features & interactions across views, w/ applications in single-cell & spatial transcriptomics, epigenomics, metabolomics in #alzheimers nature.com/articles/s4225…

Can machine learning simultaneously integrate heterogeneous multi-omics data AND reveal how individual features interact to predict disease—all while remaining interpretable?Nature Machine Intelligence UW–Madison "Cooperative multi-view integration with a scalable and interpretable model