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. https://t.co/Q8kqRC9GqU
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: https://t.co/hLEVoPfteN
🚨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!
SMR Portal: an online analysis, visualisation, and database platform for mapping complex disease genes. Powered by Westlake FutureGene. Try it out at: https://t.co/bjZiXolaLl. See a tutorial video at: https://t.co/SekxUDfwEg
📢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
I will work remotely from the Bay Area 🌴🏖️🌅 and visit Boston ☃️⛷️ occasionally. Looking forward to connecting with friends and colleagues in both locations! ☕️(4/4)
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)
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)
https://t.co/yC4rq0Fk3R
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!
Our new multi-ancestry PRS paper is now on Nature Genetics: https://t.co/Icd6IxGAde! Thanks for the guidance from @nilanjan10c@XihongLin . Also huge thanks to all the amazing collborators: @JiananZhan@Jin_10ustc@JingningZhang35 and all others 1/X.
Please check our newly accepted #naturecommunications paper:
https://t.co/11duOnXToe
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