Satoshi Koyama (@skoyamamd) 's Twitter Profile
Satoshi Koyama

@skoyamamd

@nih_nhlbi K99 Postdoc in @pnatarajanmd and @patrick_ellinor lab
@broadinstitute | @CGM_MGH | @mghcvrc | @harvardmed
Cardiology, Genetics, and Informatics

ID: 1288982466850512896

calendar_today30-07-2020 23:39:15

318 Tweet

458 Followers

466 Following

Pradeep Natarajan (@pnatarajanmd) 's Twitter Profile Photo

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

Delighted to share our study led by <a href="/Harvard/">Harvard University</a> undergrad <a href="/akshayaravi22/">Akshaya Ravi</a> with <a href="/broadinstitute/">Broad Institute</a> postdoc <a href="/skoyamamd/">Satoshi Koyama</a> describing a general inverse genetic relationship between LDL-C and incident T2D. jamanetwork.com/journals/jamac… <a href="/JAMACardio/">JAMA Cardiology</a>
JAMA Cardiology (@jamacardio) 's Twitter Profile Photo

Low-density lipoprotein cholesterol (LDL-C) and type 2 diabetes risks were inversely associated across genetic mechanisms for LDL-C variation. ja.ma/4gUfGA3

Low-density lipoprotein cholesterol (LDL-C) and type 2 diabetes risks were inversely associated across genetic mechanisms for LDL-C variation. ja.ma/4gUfGA3
Akl Fahed (@aklfahed) 's Twitter Profile Photo

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

NEW in <a href="/Circ_Gen/">Circulation: Genomic and Precision Medicine</a> led by <a href="/tigerstatdoc/">Sarah Urbut</a> 

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 <a href="/pnatarajanmd/">Pradeep Natarajan</a> 
<a href="/MGHHeartHealth/">Mass General Heart</a> <a href="/mghcvrc/">MGH Cardiovascular Research Center</a>
Pradeep Natarajan (@pnatarajanmd) 's Twitter Profile Photo

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

Delighted to share our study by <a href="/tigerstatdoc/">Sarah Urbut</a> with <a href="/aklfahed/">Akl Fahed</a> 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… <a href="/Circ_Gen/">Circulation: Genomic and Precision Medicine</a>
Satoshi Yoshiji (@satoshiyoshiji) 's Twitter Profile Photo

📣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

📣Excited to share our paper in <a href="/NatureGenet/">Nature Genetics</a>!
rdcu.be/d7mo0

Do plasma proteins mediate obesity’s effect on CAD risk?
→Using two-step proteome-wide MR, domain-aware MR, epigenomics &amp; scRNA-seq, we prioritized endotrophin as a mediator &amp; potential therapeutic target
A
Satoshi Yoshiji (@satoshiyoshiji) 's Twitter Profile Photo

📣 We are hiring! Join Yoshiji Lab at McGill University Dept of Human Genetics in Montreal, Canada! yoshiji-lab.org/joinus ✅Fully Funded Positions • 2 MSc Students • 1 PhD Student • 1 Postdoc ✅Goal: Using human genetics and multi-omics for drug target discovery and

📣 We are hiring!
Join Yoshiji Lab at McGill University Dept of Human Genetics in Montreal, Canada!
yoshiji-lab.org/joinus
âś…Fully Funded Positions
• 2 MSc Students
• 1 PhD Student
• 1 Postdoc
âś…Goal: Using human genetics and multi-omics for drug target discovery and
BroadMPG (@broadmpg) 's Twitter Profile Photo

📣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

📣The recording of "Polygenic risk scores: method development and application" by
<a href="/Yunfeng_Ruan/">Yunfeng Ruan🌻 #StandWithUkraine🌻</a> 
is now available: youtube.com/watch?v=ZdPZOr……. This talk is part of
<a href="/broadinstitute/">Broad Institute</a>
's MPG Primer series. For more info, check out broad.io/MPGPrimer
Pradeep Natarajan (@pnatarajanmd) 's Twitter Profile Photo

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 prior work has shown that ↑ CAD PRS predicts greater absolute &amp; relative CAD benefit from statins in trials of middle-aged individuals. Our new collaboration led by SH Choi <a href="/gina_peloso/">Gina Peloso</a> <a href="/BUBiostats/">BUBiostats</a> shows that a ↑ CAD PRS predicts greater absolute risk (similar relative
Min Seo Kim, MD, MSDH (@minseokim_md) 's Twitter Profile Photo

Delighted to share the preprint on the largest obesity GWAS to date! GWAS from >2 million participants Key: ✳️13% increase in loci discovery ✳️Identified 11 obesity genetic clusters (endotypes) ✳️Obesity management should be as diverse as the condition itself Thread👇

Delighted to share the preprint on the largest obesity GWAS to date!

GWAS from &gt;2 million participants

Key:
✳️13% increase in loci discovery 
✳️Identified 11 obesity genetic clusters (endotypes) 
✳️Obesity management should be as diverse as the condition itself

Thread👇
Pradeep Natarajan (@pnatarajanmd) 's Twitter Profile Photo

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…

Our study led by R. Bhattacharya &amp; <a href="/cmarnell92/">Chris Marnell</a> 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…