
PGY2 @OslerResidency via MD/PhD @PennStHershey | Bioinformatics PhD @BioinformPSU | BME BS @JohnsHopkins | dabble in GI, anything omics, big data, EHR
Baltimore, MD
Joined September 2020
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Poom Khunsriraksakul 🇹🇭 retweeted
I am thrilled to share one of the most important projects from my PhD! We developed the method JOBS (JOint model of Bk-eQTLs as a weighted sum of Sc-eQTLs) and applied it to blood bulk (eQTLGen) and sc-eQTL (OneK1K). 1/3
Poom Khunsriraksakul 🇹🇭 retweeted
I am excited to share our new work that generates a single cell eQTL atlas for immune cell types. The work integrates bulk eQTLs with sc-eQTLs, which boosts the power for identifying sc-eQTLs for up to 4 folds. As such, we have the power equivalent to sc-RNASeq of 4K individuals.
An atlas of single-cell eQTLs dissects autoimmune disease genes and identifies novel drug classes for treatment dlvr.it/TJnSg0
Poom Khunsriraksakul 🇹🇭 retweeted
Happy Holidays from our Longcope family to yours🎄
@OslerResidency
Poom Khunsriraksakul 🇹🇭 retweeted
Just a couple Longcope #strongcope physician scientists rocking the MTL service @GUTomics #mdphd #doubledocs
Poom Khunsriraksakul 🇹🇭 retweeted
So excited to welcome the newest members of the Longcope Firm to the @OslerResidency #strongcope 💪❤️
Poom Khunsriraksakul 🇹🇭 retweeted
It’s almost July 1! Can’t wait to see this amazing new group of Osler interns grow and take fantastic care of patients under the leadership of their ACSs! #Oslerpride
Poom Khunsriraksakul 🇹🇭 retweeted
Real-World Data: Applications and Relevance to Cancer Clinical Trials
pubmed.ncbi.nlm.nih.gov/3768…
We compare randomized trials to retrospective data from US national cancer databases (eg, SEER, NCDB).
@C_PisanoDO @GUTomics @DrSpratticus @HenryParkMD @yilun_sun @mwang_cwru
Poom Khunsriraksakul 🇹🇭 retweeted
We used the awesome PUMICE software from @GUTomics to build predictive models for kidney gene expression and found 399 genes with evidence of a causal link to BP
Poom Khunsriraksakul 🇹🇭 retweeted
Can you use multiomic data from the kidney to identify new therapeutic and diagnostic targets with a causal link to blood pressure?
Our work out now in @NatureComms
rdcu.be/dBJT4
tl;dr = Yes
Interested in more? see below
Poom Khunsriraksakul 🇹🇭 retweeted
And the Osler Family grows!! Thrilled to welcome these fantastic future physicians to the Osler Medical Residency, and excited to see all they accomplish as they become master clinicians and shape medicine. It’s a great day in the Osler Medical Residency! MUCH #oslerpride
Poom Khunsriraksakul 🇹🇭 retweeted
The ability of glioblastoma cells to diffusely invade into healthy brain contributes to the deadliness of this cancer. We are excited to share our latest finding that iron may play a role in this crucial aspect of GBM cell biology - now out in FASEB J: faseb.onlinelibrary.wiley.co…
Poom Khunsriraksakul 🇹🇭 retweeted
Super excited a series of THREE @UKBIOBANK #proteomics papers are now online on @Nature!
nature.com/articles/s41586-0… - flagship paper and two sister companion pieces: nature.com/articles/s41586-0… and nature.com/articles/s41586-0… - Herculean team effort across so many teams! More to follow.
Poom Khunsriraksakul 🇹🇭 retweeted
Renal glutamyl aminopeptidase (ENPEP) as a new antihypertensive target.
manchester.ac.uk/discover/ne…
Poom Khunsriraksakul 🇹🇭 retweeted
Excited to share our review examining the role of iron in glioblastoma published in Neuro-Oncology. Iron plays such an important role in human physiology. Here we describe how this extends to GBM. @JamesConnorPhD #btsm #glioblastoma
A Closer Look at the Role of Iron in Glioblastoma doi.org/10.1093/neuonc/noad1…
Poom Khunsriraksakul 🇹🇭 retweeted
It seems like sci-fi. They engineered bacteria to detect colon cancer.
science.org/doi/full/10.1126… @ScienceMagazine #synbio
Poom Khunsriraksakul 🇹🇭 retweeted
1/10 Largest GWAS meta-analysis of #endometriosis demonstrates shared genetic basis with multiple pain and inflammatory conditions. Our paper is now out at Nature Genetics @NatureGenet
(nature.com/articles/s41588-0…).
Poom Khunsriraksakul 🇹🇭 retweeted
Very elegant study of SLE (with related traits) showing how PRS (P) adds to existing biomarkers (A+D)
Replying to @GUTomics
Lastly, we constructed PRS models and demonstrated that integrating PRS with clinical lab biomarkers (ANA and anti-dsDNA) improves the diagnostic accuracy of SLE in two biobanks (BioVU and MGI). Abbreviation: A = ANA, D = anti-dsDNA, P = PRS.
Poom Khunsriraksakul 🇹🇭 retweeted
🚨 ONLINE NOW @NatureGenet
📰 Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing
👩🏼🤝👨🏿 Bibo Jiang, Scott Vrieze, Dajiang J. Liu and team
👇🏿
go.nature.com/3XHiPd4
Poom Khunsriraksakul 🇹🇭 retweeted
I applied to mostly PSTP programs. Along the way I learned A LOT. Including that there are not many resources to learn about PSTP programs. So, after spending the past few months interviewing at programs, here’s a basic overview and what I’ve learned: #DoubleDocs #PSTP #Match2023



































