Junyu Chen🏳️‍🌈

PhD Student @EmoryEpi. Statistical Genetics and kidney diseases.

[Sarah Urbut @tigerstatdoc]

One of my first consults as a cardiology fellow: a 34-year-old, textbook MI. A day earlier, no risk model would have flagged him for prevention. That paradox has driven my work ever since — our models miss how disease actually evolves, dynamically, on top of a genetic background. @Nature https://t.co/PHDOjmGxE3

[Ming "Tommy" Tang @tangming2005]

MIT Deep Learning in Life Sciences course https://t.co/zip21jqy95

[Dr. Jean Fan @JEFworks]

Just finished teaching another semester of genomic #datavisualization 🥳

Discover the awesome #dataviz made by students in the class for various #singlecell #spatialtranscriptomics data

Check out the course notes + #Rstats code to explore for yourself: https://t.co/eikhx46fOb

[Manolis Kellis @manoliskellis]

The first six lectures of #DeepLearning for #Genomics and #LifeSciences are posted on @YouTube here:
https://t.co/sTC2Z1rNfe
covering #MachineLearning #CNNs #RNNs #GNNs #RepresentationLearning #InterpretableML #Convolution
Linking to them individually in the thread below 1/n

[Johanna Rickne @johannarickne]

Banning the purchase of sex 🚨DOES NOT🚨increase cases of reported rape.

A re-analysis of Ciacci (2024) shows that the paper's headline result comes from an erroneous use of Stata's regression command.

A thread from @Jopieboy, @OlleFolke, and me 1/11

[Tony @Tony_Chen6]

Very excited to share our preprint presenting a framework for translation of PRS to primary care for lung cancer in diverse high-risk patients. Grateful for the support from @AndrewHaoyu and @lishiunchen, and amazing collaborators from WashU and ILCCO.
https://t.co/MzLHuh32Mi

[Sasha Gusev @SashaGusevPosts]

I've written about race, genetic ancestry, analyses of large biobanks, and human history

https://t.co/DogeRfUCdr

I'll summarize the key points here 🧵:

[Ruidong Xiang @RXiang5]

Check out our latest review on polygenic (risk) scores, including the FAIR (Findable, Accessible, Interoperable, and Reusable) use to maximise its clinical utility!

[Veera Rajagopal  @doctorveera]

pQTL analysis suggests increased circulating levels of APOL1 are protective against giant-cell arteritis (GCA), implicating reverse cholesterol transport in the GCA pathogenesis. Interesting!
Chaddock et al.
https://t.co/0riXEfVjbW

[Nature Reviews Nephrology @NatRevNeph]

Approved cell and gene therapies worldwide.

https://t.co/tIi45BiL7T

[Rosana Ferrero 📈📊🙌 @RosanaFerrero]

📣Acaba de salir la segunda edición de Introduction to #DataScience by @rafalab
Ahora con dos versiones:
📘Intro: https://t.co/meLkjN3mr7
📙Advanced: https://t.co/GV0F8Bl8V2
#rstats #Datascience #stats #analytics #book #programming #code

[Stephen Burgess @stevesphd]

Our new review "Using genetic association data to guide drug discovery and development: Review of methods and applications" is now online at @ajhg: https://t.co/tW5CEdLLHQ. Summarizes a lot of recent work from our group and others. Thread follows:

[Sen Pei @SenPei_CU]

Hey, students at @ColumbiaMSPH, I am teaching a new course, Introduction to Network Science, in Spring 2024. We will have lots of fun playing with networks and discussing broad applications in public health. Welcome to join us and try it out!

[Ming "Tommy" Tang @tangming2005]

🔬 Path to a free self-taught education in Bioinformatics! https://t.co/IazBKH1ta6

[Charles Breeze @charles_breeze]

🧬 Our paper is out now @CellGenomics! Exploring the Mysteries of our DNA and its influence on our kidney health. 🧬

Dive into the world of genetics and kidney function with us as we explore groundbreaking new results from our latest GWAS. Ready? Let’s go! 🚀 🧵 #Genomics #KidneyFunction #ScienceTwitter 1/ https://t.co/pswFP0K8x9

[Katalin Susztak @KSusztak]

Analysis of the human kidney transcriptome and plasma proteome identifies markers of proximal tubule maladaptation to injury | ⁦@ScienceTM⁩ ⁦@KidneydrChirag⁩ ⁦@hopkinsneph⁩ ⁦@YaleNephrology⁩ https://t.co/psGrkAA8Zn

[Katalin Susztak @KSusztak]

Just to show the most beautiful organ

[Bogdan Pasaniuc @bpasaniuc]

Excited for the NHGRI workshop on Advances in Genetic Architecture of Complex Traits @NeuroMinded
https://t.co/Wfs7Wo0siz

Bonus: you may see some of @SashaGusevPosts tweets in my slides

https://t.co/13RktBN0h3

[Caitlyn Vlasschaert @DrFlashHeart]

Over the past few years, I’ve spent a lot of time thinking about how CHIP – a common, acquired blood cell condition – might affect the kidneys.

Our review in @NatRevNeph discusses the current state of knowledge. 🫘 🧬