
Satoshi Koyama
@skoyamamd
@nih_nhlbi K99 Postdoc in @pnatarajanmd and @patrick_ellinor lab
@broadinstitute | @CGM_MGH | @mghcvrc | @harvardmed
Cardiology, Genetics, and Informatics
ID: 1288982466850512896
30-07-2020 23:39:15
318 Tweet
458 Followers
466 Following

Delighted to share our study led by Harvard University undergrad Akshaya Ravi with Broad Institute postdoc Satoshi Koyama describing a general inverse genetic relationship between LDL-C and incident T2D. jamanetwork.com/journals/jamac… JAMA Cardiology



NEW in Circulation: Genomic and Precision Medicine led by Sarah Urbut Genomic and clinical risk factors of CAD display time-varying importance over the life course. The importance of CAD PRS is highest earlier in life and diminishes with older age. Collab with Pradeep Natarajan Mass General Heart MGH Cardiovascular Research Center


Delighted to share our study by Sarah Urbut with Akl Fahed on adding in a CAD polygenic risk score to clinical factors to boost CAD risk prediction, particularly for recovering premature CAD events ahajournals.org/doi/10.1161/CI… Circulation: Genomic and Precision Medicine


📣Excited to share our paper in Nature Genetics! rdcu.be/d7mo0 Do plasma proteins mediate obesity’s effect on CAD risk? →Using two-step proteome-wide MR, domain-aware MR, epigenomics & scRNA-seq, we prioritized endotrophin as a mediator & potential therapeutic target A



📣The recording of "Polygenic risk scores: method development and application" by Yunfeng Ruan🌻 #StandWithUkraine🌻 is now available: youtube.com/watch?v=ZdPZOr……. This talk is part of Broad Institute 's MPG Primer series. For more info, check out broad.io/MPGPrimer


📽️🍿🧬 Check out Yunfeng Ruan🌻 #StandWithUkraine🌻's talk in our growing collection of videos on the PRIMED Consortium website: primedconsortium.org/education#vide…

Our prior work has shown that ↑ CAD PRS predicts greater absolute & relative CAD benefit from statins in trials of middle-aged individuals. Our new collaboration led by SH Choi Gina Peloso BUBiostats shows that a ↑ CAD PRS predicts greater absolute risk (similar relative



Our 🌟 clinical research coordinator rockstars going into the community to advance cardiovascular prevention research! Mass General Heart



Our study led by R. Bhattacharya & Chris Marnell shows that, when simultaneously considering clinical, laboratory, and genetic risk factors for incident CAD prediction, the top 2 model explanatory factors are: 1. Hypertension 2. CAD polygenic risk score ahajournals.org/doi/10.1161/CI…
