Wongyung Choi’s Post

View profile for Wongyung Choi, graphic

Minerva University '28 Bioinformatics | Medical Informatics | Computational Biology pronounced: won-gyeong

Integration of population genetics (GWAS) and single-cell methods (Perturb-seq), and it's amazing! These approaches can bring computational/statistic results and highly complex biological contexts all together.

View organization page for Broad Institute of MIT and Harvard, graphic

125,438 followers

Researchers have linked hundreds of genetic variants to coronary artery disease risk, but as with many conditions, probing the biological relationships between variants and risk remains challenging. Gavin Schnitzler, Helen Kang, Rajat Gupta, Jesse Engreitz and colleagues have developed and applied what they call a Variant-to-Gene-to-Program (V2G2P) approach which prioritizes the pathways shared by multiple risk loci. Using CRISPRi-Perturb-seq and machine learning, they found connections between CAD risk and 41 variants in endothelial cells, which line blood vessels. Several of these variants regulate endothelial cells' response to blood flow, and represent new CAD mechanisms. Learn more in Nature: https://lnkd.in/efcmYbNQ. #BroadInstitute #Science #ScienceNews #Research #ScientificResearch

Convergence of coronary artery disease genes onto endothelial cell programs - Nature

Convergence of coronary artery disease genes onto endothelial cell programs - Nature

nature.com

To view or add a comment, sign in

Explore topics