Lida Wang @LD_matrix
Postdoc @DanaFarber and @harvardmed | Biostat Ph.D @penn_state | Statistical genetics, functional genomics, data science lidawangpsu.github.io/Lida/ Boston, MA Joined August 2020-
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The proportion of epistatic heritability that is estimated as additive by quantitative genetic models. Epistasis deviates more from additivity for lower frequency causal alleles, but on average >80% of biological GxG will just look like statistical G.
Check out our scPrediXcan paper cell.com/cell-genomics/… 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.
I'm excited to share a wonderful collaboration with @LD_matrix: JOBS integrates bulk and single-cell eQTLs to boost eQTL discovery. Integrated with GWAS, it identified more disease-linked loci for 14 immune disorders & fueled drug-repurposing. #immunology #drugdiscovery #genomics
I'm excited to share a wonderful collaboration with @LD_matrix: JOBS integrates bulk and single-cell eQTLs to boost eQTL discovery. Integrated with GWAS, it identified more disease-linked loci for 14 immune disorders & fueled drug-repurposing. #immunology #drugdiscovery #genomics
🧠🔥"Put on your 3D glasses...oh wait, you don't need them!"😝 Brain Metabolome just got an upgrade-why look at slices when you can see the whole picture in 3D? Check out our latest work in @NatMetabolism .🚀🔬 🔗doi.org/10.1038/s42255…
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_zzz Preprint📰: biorxiv.org/content/10.110… Sumstats⬇️: qlu-lab.org/data.html
I am happy to share our new work that predicts the progression of autoimmune diseases, integrating EHR and GWAS datasets @NatureComms . nature.com/articles/s4146…
Excited to share our recent publication in Communications Biology! We explored how genetic variation shapes T cell receptor (TCR) diversity and its impact on diseases such as autoimmune disorders and cancer. nature.com/articles/s4200… (1/11)
Thrilled to share our work to analyze insurance claim datasets to dissect genetic and environmental contributions to 1083 human diseases. We developed a spatial linear mixed model SMILE, using geolocations as a proxy for the environment. nature.com/articles/s4146…
Excited to share our latest work describing a spatial mixed linear effect (SMILE) model that refines the estimates of genetic heritability and air pollution causal effects using EHR in @NatureComms. Huge thanks to Dan McGuire and my PI @dajiangliu81! nature.com/articles/s4146…
Really excited to share our latest work in @NatureComms! We developed a method called EXPRESSO to conduct TWAS using single-cell eQTL summary statistics. Special thanks to @dajiangliu81 for the guidance and the help from @GUTomics and lab members.
Really excited to share our latest work in @NatureComms! We developed a method called EXPRESSO to conduct TWAS using single-cell eQTL summary statistics. Special thanks to @dajiangliu81 for the guidance and the help from @GUTomics and lab members.
Excited to share our latest work in @NatureComms. We extended our previous PUMICE's framework (nature.com/articles/s4146…) to allow the utilization of publicly available single-cell eQTL summary statistics. Kudos to @LD_matrix and @dajiangliu81 for leading this important work.
Excited to share our latest work in @NatureComms. We extended our previous PUMICE's framework (nature.com/articles/s4146…) to allow the utilization of publicly available single-cell eQTL summary statistics. Kudos to @LD_matrix and @dajiangliu81 for leading this important work.
Hi friends! We are looking to hire a postdoc to join our group @CMUCompBio @SCSatCMU, to work on exciting projects related to identifying disease genes by integrating GWAS and functional genomics. mzhanglab.github.io/openings/
Excited to share our latest work (nature.com/articles/s4146…) in @NatureComms. We conducted TWAS focusing on blood pressure traits using PUMICE, complemented by multi-omics follow-up analyses. Kudos to Xiaoguang Xu, @EalesJames, and Maciej Tomaszewski for leading this amazing work.
It's 2024 and there are many great tutorials for single-cell analysis. One frustrating thing to follow any R-based tutorial is package installation (of course)! With all sorts pkg managers, it should be easy to install pkgs, right? Well, no, especially if you are a beginner. 1/9
A few thoughts on the recent set of papers torture testing genomic deep learning for predicting individual-level gene expression [ pubmed.ncbi.nlm.nih.gov/38036790/ , pubmed.ncbi.nlm.nih.gov/38036778/ , pubmed.ncbi.nlm.nih.gov/38036789/ ]. First a brief summary 🧵:
A few thoughts on the recent set of papers torture testing genomic deep learning for predicting individual-level gene expression [ pubmed.ncbi.nlm.nih.gov/38036790/ , pubmed.ncbi.nlm.nih.gov/38036778/ , pubmed.ncbi.nlm.nih.gov/38036789/ ]. First a brief summary 🧵:
Links to the recordings: Day 1: nih.zoomgov.com/rec/play/9o8-x… nih.zoomgov.com/rec/play/YZutj… Day 2: nih.zoomgov.com/rec/play/V1meR… nih.zoomgov.com/rec/play/tr_e8…
Links to the recordings: Day 1: nih.zoomgov.com/rec/play/9o8-x… nih.zoomgov.com/rec/play/YZutj… Day 2: nih.zoomgov.com/rec/play/V1meR… nih.zoomgov.com/rec/play/tr_e8…
Yifei HUANG (@huangyifeicmb), our dear colleague, Asst Prof @PennStateBio, passed away from cancer in October at the age of 40. We are collecting donations for his daughter's education. All donations are tax-deductible. @PSUresearch Please RT. gofund.me/ef82effe

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