Poom Khunsriraksakul 🇹🇭
@GUTomics
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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
🚨 Antispasmodics in IBD: More harm than help? In a massive study of 85K+ patients, these drugs were linked to: ⚠️ More abdominal pain ⚠️ Increased opioid initiation ⚠️ Higher ER & hospital visits 🔗 https://t.co/poaAi7Hfh3
#IBD #Gastroenterology #MedTwitter @APandT
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Huge thanks to everyone who supported this work- especially the brilliant and twitterless (X-less?) Dr. Matthew Coates, @dajiangliu81, as well as @PennStHershey, @PennStGastroHep, @OslerResidency, and @OslerPSP. Grateful for your guidance and collaboration throughout 🙏
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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
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.
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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
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Check out our latest work on Genetic Progression Score (GPS) to predict the progression of autoimmune diseases from preclinical stages. Work led by @ChenWang_PSU and @MarkusHavell.
I am happy to share our new work that predicts the progression of autoimmune diseases, integrating EHR and GWAS datasets @NatureComms .
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Just a couple Longcope #strongcope physician scientists rocking the MTL service @GUTomics #mdphd #doubledocs
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So excited to welcome the newest members of the Longcope Firm to the @OslerResidency #strongcope 💪❤️
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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
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Excited to share our latest work in @NatureComms. We extended our previous PUMICE's framework ( https://t.co/8zr2ge8QTS) to allow the utilization of publicly available single-cell eQTL summary statistics. Kudos to @LD_matrix and @dajiangliu81 for leading this important work.
nature.com
Nature Communications - Transcriptome-wide association studies can be used to test the effects of predicted gene expression in a cohort of individuals based on genetic data. Here, the authors...
Delighted to share our work that integrates single cell eQTL data with GWAS to identify cell type specific risk genes for complex traits. Published today at @NatureComms . Work led by talented students @LD_matrix and @GUTomics .
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Real-World Data: Applications and Relevance to Cancer Clinical Trials https://t.co/xssotfs0da We compare randomized trials to retrospective data from US national cancer databases (eg, SEER, NCDB). @C_PisanoDO @GUTomics @DrSpratticus @HenryParkMD @yilun_sun @mwang_cwru
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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
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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
https://t.co/HiZIXbuO43 tl;dr = Yes Interested in more? see below
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@NatureComms @EalesJames and many others who contributed to this work @MarkusHavell, @LD_matrix, Jeniece Regan, @Aavanteeka, and @dajiangliu81.
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Excited to share our latest work ( https://t.co/isrE1AwUBe) in @NatureComms. We conducted TWAS focusing on blood pressure traits using PUMICE, complemented by multi-omics follow-up analyses. Kudos to Xiaoguang Xu, @EalesJames, and Maciej Tomaszewski for leading this amazing work.
nature.com
Nature Communications - Genetic mechanisms of blood pressure regulation remain poorly defined. Here, the authors perform a kidney multi-omics study to identify 399 kidney effector genes, 11 miRNAs...
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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
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Came here from Thailand 🇹🇭 at 18, I am grateful for all the opportunities that have been given, especially from @PennStHershey. Excited to match at my #1 @HopkinsMedicine for IM PSTP with GI 💩. #PSUmatch #MATCH2024
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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:
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Super excited a series of THREE @UKBIOBANK #proteomics papers are now online on @Nature! https://t.co/gC0OwiuX0O - flagship paper and two sister companion pieces: https://t.co/zO5qdZPTVC and https://t.co/KWeiRf0dwp - Herculean team effort across so many teams! More to follow.
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