Yi Ding retweeted
Announcing our much-awaited updated aladynoulli, a fully interpretable Bayesian model that considers predictive and explanatory disease trajectories across the life course for individuals, anchored on underlying PGS. medrxiv.org/content/10.1101/…
Yi Ding retweeted
Using complex models to detect genetic interactions (epistasis) can boost power, but how do we quantify their importance and interpret those 'epistasis signals'?
In our latest Genome Research paper, we revisit the simplest form—quadratic interactions—and introduce a scalable algorithm for in-depth epistasis quantification. Our findings highlight the unignorable and heterogeneous impact of epistasis in human genetics.
Many thanks to Prateek Anand, Aakarsh Anand, Dr. Joel Mefford, and my PI, Prof. @sr_sankararaman!
Full text: genome.cshlp.org/content/ear…
Yi Ding retweeted
🚨Review alert! Admixed populations make up a large portion of global genetic diversity but are often excluded from genomics. Our paper surveys tools & methods to better include these groups in studies, reducing disparities in genomic medicine. 🧬👏 @doubletaotan @egatkinson👇
Human genome has 3⃣0⃣0⃣0⃣0⃣0⃣0⃣0⃣0⃣0⃣ bp, only 1⃣0⃣0⃣0⃣0⃣ are used in the figure! Chromosomes pass down variants as a group to make sure your kid is more related to you. You never know how innovative racists can be when distorting genetics for their evil propaganda. 😡
Most people don't realize that interbreeding with other races means that strangers on the street from your own race are more related to you than your own child. Amplify this, @elonmusk and spread the knowledge!
Yi Ding retweeted
SMR Portal: an online analysis, visualisation, and database platform for mapping complex disease genes. Powered by Westlake FutureGene. Try it out at: yanglab.westlake.edu.cn/soft…. See a tutorial video at: yanglab.westlake.edu.cn/soft…
Yi Ding retweeted
📢Excited to share our comprehensive review led by @EstherHL5 on gene-environment interactions.
Within, you'll find:
🛠️Summary of current methods by underlying hypothesis
🗺️Framework for considerate epidemiological modeling
🗣️Call for greater contextual diversity needed for GxE
Gene–environment interactions in human health go.nature.com/3UXaIsJ #Review by Esther Herrera-Luis @EstherHL5, Kelly Benke, Heather Volk, Christine Ladd-Acosta @GnomeChris & Genevieve L. Wojcik @genandgenes @JohnsHopkinsEPI
🥳Excited to announce my new journey as a Postdoc Research Fellow at Gusev Lab today! @SashaGusevPosts (1/4)
I am immensely grateful to my PhD advisor @bpasaniuc and the UCLA community for their exceptional training and support, which cultivated my research interests and skill set, and led me to this incredible opportunity. (3/4)
Yi Ding retweeted
Read more about this new *LDpred2* work, now published in @AJHGNews 🥳
authors.elsevier.com/a/1i372…
Yi Ding retweeted
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)
biorxiv.org/content/10.1101/…
I am thrilled to have reached this milestone! 🎉I am grateful to my advisor and committee members for their incredible mentorship. My heartfelt thanks also go to my colleagues and friends, who have been an integral part of this amazing journey, providing me support at every step!
Congratulations Dr @yi_ding_ on successfully defending her PhD thesis: "Uncertainty, portability, and ancestry in polygenic scoring".
Many thanks to @TheBoutrosLab, @GeschwindLab and @sr_sankararaman for amazing mentorship!
Yi Ding retweeted
Our new multi-ancestry PRS paper is now on Nature Genetics: nature.com/articles/s41588-0…! Thanks for the guidance from @nilanjan10c @XihongLin . Also huge thanks to all the amazing collborators: @JiananZhan @Jin_10ustc @JingningZhang35 and all others 1/X.
Yi Ding retweeted
Please check our newly accepted #naturecommunications paper:
doi.org/10.1038/s41467-023-4…
We developed FastKAST, a highly-scalable algorithm to identify non-linear genetic effects on complex traits in large datasets. Applying FastKAST on #UKBB, we discovered new epistatic evidence
Yi Ding retweeted
My preprint on continuous optimization of structure using observational and interventional data is out! This is work with @JingyouR @sr_sankararaman @hjpimentel . arxiv.org/abs/2305.19215 (1/n)
Check out our latest paper in @Nature! We unveil the fascinating variation of individual polygenic scoring accuracy across the genetic ancestry continuum!
We offer an individual-level interpretation of polygenic score (PGS) transferability across genetic ancestries:
PGS accuracy varies individual-to-individual across the genetic-ancestry continuum, even in populations usually labeled as homogeneous.
1/
nature.com/articles/s41586-0…
Many thanks to our amazing coauthors @kangchenghou, Ziqi Xu, @apimplaskar @PetterElla @BoulierKristin @privefl @bvilhjal @loldeloo @bpasaniuc!
We are grateful to the patients at @UCLAHealth for their invaluable participation in the ATLAS biobank. Special thanks to the Institute for Precision Health, @CompMedUCLA, OHIA, and our dedicated collaborators for their unwavering support.