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Yan V. Sun

Researcher at Emory University

Publications -  227
Citations -  12762

Yan V. Sun is an academic researcher from Emory University. The author has contributed to research in topics: Medicine & Genome-wide association study. The author has an hindex of 43, co-authored 177 publications receiving 9439 citations. Previous affiliations of Yan V. Sun include Vanderbilt University & Yale University.

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Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

Georg Ehret, +391 more
- 06 Oct 2011 - 
TL;DR: A genetic risk score based on 29 genome-wide significant variants was associated with hypertension, left ventricular wall thickness, stroke and coronary artery disease, but not kidney disease or kidney function, and these findings suggest potential novel therapeutic pathways for cardiovascular disease prevention.
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A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.

Alisa K. Manning, +243 more
- 01 Jun 2012 - 
TL;DR: Six previously unknown loci associated with fasting insulin at P < 5 × 10−8 in combined discovery and follow-up analyses of 52 studies comprising up to 96,496 non-diabetic individuals are presented.
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Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.

Evangelos Evangelou, +341 more
- 17 Sep 2018 - 
TL;DR: In this article, the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry was conducted.
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Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program.

Derek Klarin, +67 more
- 01 Oct 2018 - 
TL;DR: Analysis of genetic data and blood lipid measurements from over 300,000 participants in the Million Veteran Program identifies new associations for blood lipid traits and proposes novel indications for pharmaceutical inhibitors targeting PCSK9, ANGPTL4 (type 2 diabetes) and PDE3B (triglycerides and coronary disease).
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Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

Cristian Pattaro, +735 more
TL;DR: A meta-analysis of genome-wide association studies for estimated glomerular filtration rate suggests that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.