Studying genomics, transcriptomics, and all things data science in interstitial lung disease at Columbia University. https://nitter.cf/t.co/FjzkUx5Mpn
New York, USA
Joined May 2019
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David Zhang retweeted
1/10 We’re excited to announce the publication of our work with @StanfordMed, examining the premature deaths that would be saved if PRS-guided screening was introduced across seven common disease screening programs
nature.com/articles/s41467-0…
How can we use genetic risk for practical clinical applications?
Join us in an upcoming @ATS_GG Journal Club on 2/9 at 1PM EST, where we discuss using polygenic scores to improve case finding of undiagnosed COPD.
jamanetwork.com/journals/jam…
Register here: tinylink.net/UaHgc
David Zhang retweeted
We’re excited to spotlight new IPF genetics research in The Lancet Respiratory Medicine by Team Telomere & Uplifting Athletes’ 2026 YID pick, Dr. David Zhang. The study shows shortened telomeres increase IPF risk—and that IPF has multiple genetic pathways. 🧬
ALT blue background with telomere logo
ALT white background with tt logo on top right corner. Circle in center of doctor Da Zhang smiling.
ALT blue background with tt logo in right corner
Genetic heterogeneity in IPF has been a major gap. In our new paper, we define genetic endotypes of IPF, uncover subtype-specific risk, improve disease prediction, and identify telomere-associated polygenic risk as a key, previously unrecognized driver.
thelancet.com/journals/lanre…
Why is this important? A genetic basis for IPF heterogeneity enables endotype-focused research over all-comer approaches and advances precision medicine. Polygenic factors that modify high-risk rare variants offer a path to understanding disease-modifying pathways in IPF.
This study would be impossible without @AnnaArtbyanna and all our incredible collaborators! Special gratitude goes to the @LancetRespirMed editorial team and reviewers, who penned this amazing editorial!
thelancet.com/journals/lanre…
David Zhang retweeted
📊 Research Summary: Higher doses of nalbuphine ER led to greater cough reduction in idiopathic pulmonary fibrosis; adverse events were consistent with those expected for opioid-class medications.
ja.ma/3ZbF1OZ
ALT JAMA Research Summary: Oral Nalbuphine in Idiopathic Pulmonary Fibrosis-Associated Cough. Nalbuphine ER 27mg, 54mg, 108mg, and Placebo show cough reduction rates of 47.9%, 53.4%, 60.2%, and 16.9% respectively.
David Zhang retweeted
Another incredible genomics paper from Po-Ru Loh’s team just dropped in Nature.
The team analyzed whole genome sequence (WGS) data of 900,000 individuals from the UK Biobank and All of Us and report fascinating insights on short tandem repeat (STR) mutations in the human genome.
At the core of the paper is the authors’ creative methodologies to overcome the challenges involved in using short read WGS data of unrelated individuals to study germline and somatic repeat expansions.
Must read for anyone interested in repeat mutations and genetics of repeat expansion disorders.
Hujoel et al. Nature 2026
nature.com/articles/s41586-0…
David Zhang retweeted
📢 A NEW #ISHLT Consensus Statement on short telomere syndrome (#STS) and #LungTransplantation is now available. 📖💡🫁 Check out the top 8⃣ takeaways ⏬
David Zhang retweeted
Team Telomere’s 2026 Young Investigator Draft pick is Dr. Da (David) Zhang, Columbia University Irving Medical Center! We are beyond grateful to be advocacy partners with Uplifting Athletes and the Young Investigator Draft. Read more: upliftingathletes.org/2025/1…
I’m delighted to partner with @UpliftingAth and @TeamTelomereInc! This grant will enable new research to support the 1 in 10 Americans diagnosed with a #RareDisease. Join me as #WeTackleRare at the Young Investigator Draft on Jan. 31! #YID26 bit.ly/yid2026 @ColumbiaMed
David Zhang retweeted
Genetic Associations in Non-Europeans with Pulmonary Fibrosis: Analysis of the All of Us Cohort
Key genetic risk factors of IPF are less prevalent in non-European individuals but confer similar risk of disease when present
@DavidZhangMD
🔗 tinyurl.com/2w8jpj9r
David Zhang retweeted
🧬💥 Do the genetics that make you develop a disease also help you survive it? Not much.
Our new @NatureGenet including 9 disease and 7 biobanks shows:
• Susceptibility variants ≠ survival
• PRSs for onset weak at predicting survival
• Lifespan PRS predicts survival better
David Zhang retweeted
A complete diploid human genome benchmark for personalized genomic. #HumanGenome #ReferenceGenome #DiploidGenome #T2T #HG002 #Q100project #Bioinformatics #Genomics @biorxivpreprint.bsky.social
biorxiv.org/content/10.1101/…
David Zhang retweeted
At Cocktails & Chromosomes, we brought together patients, families, researchers, clinicians and new community members for an unforgettable evening. Now, you can listen in 🎧 thanks to this special live-recorded episode from DNA Today.
ALT Picture of Will Mannherz, Jena Robertson and Kira Deenen with welcome sign for cocktails and chromosomes in the center. Image from NYC live event.
David Zhang retweeted
Original Article: Nerandomilast in Patients with Progressive Pulmonary Fibrosis (FIBRONEER-ILD phase 3 trial) nej.md/436a8g4
#ATS2025 | @atscommunity
ALT Bar charts showing the changes from baseline to week 52 in the forced vital capacity (FVC)
David Zhang retweeted
On April 15th at 2pm ET, join our @ATS_GG for a Journal Club on Convergent and Divergent Immune Aberrations in COVID-19, post-COVID-19-Interstitial Lung Disease, and Idiopathic Pulmonary Fibrosis!
Register here: thoracic.zoom.us/meeting/reg…
David Zhang retweeted
We're thrilled to present ESM3 in @ScienceMagazine. ESM3 is a generative language model that reasons over the three fundamental properties of proteins: sequence, structure, and function. Today we're making ESM3 available free to researchers worldwide via the public beta of an API for biological intelligence.
Trained with over a trillion teraflops of compute, this is the first time a model of this scale has been trained for biology, pushing the frontier of AI for biological discovery and engineering.
ESM3 learns to represent the immense complexity of protein biology, learning from billions of natural proteins. From this training it developed the capability to design proteins, responding to complex prompts combining atomic level details and high level instructions to generate new proteins.
ESM3 can explore protein space far beyond natural evolution. We prompted ESM3 to generate a fluorescent protein at a far distance from any known fluorescent proteins, searching an unknown region of protein space, to discover a new fluorescent protein.
We estimate this is equivalent to simulating five hundred million years of evolution.
David Zhang retweeted
Excited to share the HIF2 story in Science Translational Medicine. Its been a long time coming.
science.org/doi/10.1126/scit…
also appreciate the write-up in the VUMC reporter highlighting our group and potential.
news.vumc.org/2025/01/08/stu…
@JKropski @VUMC_MedPSTP
