Wallace Wang

262 posts

Wallace Wang

Wallace Wang

@wallacemwang

PI@BIG, Chinese Academy of Sciences. Former computational biologist @broadinstitute, working on the genetics of human cardiovascular diseases. View on my own.

شامل ہوئے Ekim 2019
369 فالونگ196 فالوورز
Min Seo Kim, MD, MSDH
Min Seo Kim, MD, MSDH@MinSeoKim_MD·
🎉Excited to share our new research published in @Cell_Metabolism on the metabolic polygenic risk score To date, polygenic risk scores (PRS) have been developed and validated against single traits. In this study, we generated a PRS that captures metabolic dysfunction. Key take-aways: 👉 Biologically enriched Metabolic PRS was developed from GWAS of 20 metabolic traits 👉 Metabolic PRS demonstrated superior obesity & diabetes prediction across six ancestries 👉 Beyond predicting future risk of obesity and type 2 diabetes, Metabolic PRS effectively identified individuals at high risk for metabolic multimorbidity, and even likelihood of requiring GLP-1 receptor agonist & bariatric surgery, which proxy the clinical severity of metabolic dysfunction Huge thanks to co-first Qiuli Chen & Yang Sui, and co-seniors @aklfahed, @patrick_ellinor, and Minxian Wang who made this project possible! Deep appreciation to every contributor who helped bring this together: @LuChenWeng, @somijemmacho, @skoyamamd, @pnatarajanmd, and many more! Paper: lnkd.in/esdKX_N5 Support of @MGBResearchNews @MGHMedicine @mghcvrc @broadinstitute
Min Seo Kim, MD, MSDH tweet mediaMin Seo Kim, MD, MSDH tweet mediaMin Seo Kim, MD, MSDH tweet mediaMin Seo Kim, MD, MSDH tweet media
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Shaan Khurshid
Shaan Khurshid@shaan_khurshid·
Very cool work now out in @JAMACardio - common, rare, and somatic genetic variants provide complementary information (beyond clinical risk factors) for stratifying future #afib risk. Implications for risk-guided prevention and screening @MGHHeartHealth @broadinstitute
Pradeep Natarajan@pnatarajanmd

Our study, from @aklfahed @wallacemwang labs, shows that a multi-genomic (polygenic, monogenic, somatic) risk model improves incident atrial fibrillation risk prediction when added to a clinical risk score (CHARGE-AF) jamanetwork.com/journals/jamac… @JAMACardio

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Satoshi Koyama
Satoshi Koyama@skoyamamd·
Excited to share that I am launching my Computational Genetics Lab spanning Mass General Brigham Personalized Medicine (MGB-PM), @MassGeneralCVRC , @harvardmed and @broadinstitute! Our lab will focus on genetics 🧬 in common diseases focusing on cardiovascular diseases🫀
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Heng Li
Heng Li@lh3lh3·
Longdust, a new tool to identify highly repetitive STRs, VNTRs, satellite DNA and other low-complexity regions (LCRs). Similar to SDUST but for long regions. github.com/lh3/longdust
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Pradeep Natarajan
Pradeep Natarajan@pnatarajanmd·
Motivated by the favorable lipid indices and CV risk of ANGPLT3 & ANGPTL8 LoF carriers, @EliLillyandCo developed a combo ANGPTL3/8 mAb (LY3475766). Phase 1 RCT shows that LY3475766 recapitulates lipid patterns from human genetics nature.com/articles/s4159… @NatureMedicine @Giacomo_Ruotolo HDL-C effects more reflective of ANGPTL8 LoF (high) than ANGPTL3 LoF (low). Nice commentary from @ArchnaBajajMD & D. Rader nature.com/articles/s4159…
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Pradeep Natarajan
Pradeep Natarajan@pnatarajanmd·
Very excited to join the @JAMA_current team & contribute to the field of cardiology in this new way! As a reader, author, peer reviewer, and editor, I am deeply invested in the process of producing & communicating high-quality biomedical research. I will deeply miss regularly interfacing with my all-star editorial colleagues at @JAMACardio & @ScienceAdvances. @MassGeneralNews @broadinstitute @harvardmed
JAMA@JAMA_current

Tomorrow we welcome Pradeep Natarajan as an Associate Editor for cardiology. Dr Natarajan previously served as an Associate Editor at @JAMACardio and as an Associate Editor for Science Advances. He currently holds positions at both @MassGeneralNews and @harvardmed.

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Akl Fahed
Akl Fahed@aklfahed·
NEW preprint led by @MinSeoKim_MD @Alisa_QiuliChen and Yang Sui Metabolic Polygenic Risk Scores for Prediction of Obesity, Type 2 Diabetes, and Related Morbidities O-MetPRS and D-MetPRS 🔹 Leverage 22 metabolic traits from over 10 million people 🔹Derived in UKB, validated in All of Us, MGB Biobank and KFSH&RC 🔹Outperform existing PRSs in 6 ancestry groups 🔹Predict numerous morbidities of diabesity 🔹Predict prescription of GLP1 receptor agonists even among people without obesity at baseline Collaboration with @wallacemwang @patrick_ellinor @broadinstitute @MGHHeartHealth @mghcvrc Manuscript here medrxiv.org/content/10.110… X-planation from @MinSeoKim_MD below
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Min Seo Kim, MD, MSDH@MinSeoKim_MD

I'm thrilled to share our latest preprint on metabolic polygenic risk score🧬! We developed metabolic PRS using multi-ancestry GWAS of 22 metabolic traits from over 10 million people. w/ @Alisa_QiuliChen, Yang Sui, @aklfahed @patrick_ellinor @pnatarajanmd, and more Thread🧵

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Akl Fahed
Akl Fahed@aklfahed·
NEW from @MinSeoKim_MD and Xiong Yang An Integrated Germline and Somatic Genomic Model Improves Risk Prediction for Coronary Artery Disease medrxiv.org/content/10.110… Awesome collaboration with @wallacemwang @pnatarajanmd and enabled by UKBB and TOPMed @broadinstitute @MGHHeartHealth @mghcvrc Thread below
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Min Seo Kim, MD, MSDH@MinSeoKim_MD

Excited to share our preprint on the integrated genomic model for coronary artery disease (CAD)🧬! We integrated 6 genetic drivers (PRS, FH, CHIP, LTL, ProPRS, MetPRS) to enhance risk prediction for CAD From @broadinstitute @mghcvrc and Chinese Academy of Science Thread🧵~

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