Our SBayesRC method is now published in Nature Genetics! SBayesRC is a full Bayesian method for polygenic score prediction that can analyse all common variants jointly with functional annotations in a single step. Zhili Zheng Institute for Molecular Bioscience nature.com/articles/s4158…

Through efforts to detect #CoronaryArteryDisease earlier, researchers are studying genetic links, including rare and ultra-rare variants, using #MachineLearning + #ElectronicHealthRecord data: nature.com/articles/s4158… genet nathalie The National Institute on Aging (NIA) NIGMS

Using an advanced artificial intelligence tool, our researchers have identified rare coding variants in 17 genes that shed light on the molecular basis of coronary artery disease (CAD), the leading cause of morbidity and mortality worldwide. Read more: mshs.co/4bUO6Ao

Delighted to see our recent paper on discovering rare coding variants with a digital marker for coronary artery disease featured in Nature Reviews Genetics. Thankful to the journal for highlighting our work, and to our team for their invaluable contributions.

GWAS of 2024 AI-derived (mainly imaging) human disease endophenotypes, including genetic correlations and Mendelian randomization associations with disease endpoints🧬 Summary stats to be made available upon publication medrxiv.org/content/10.110…

Impressive new single-cell resource from Asian Immune Diversity Atlas (AIDA) to study effects of genetic diversity in >1.2M circulating immune cells from >620 individuals, 7 ancestral groups across 5 countries Human Cell Atlas CZI Science biorxiv.org/content/10.110…

Measuring biological age using omics data go.nature.com/3n0hCfZ #Review by Jarod Rutledge, Ph.D., Hamilton Oh & Tony Wyss-Coray Stanford University #epigeneticclocks #agingclocks Free to read here: rdcu.be/cPR6u

Delighted to collaborate with Min Seo Kim, MD, MSDH Amit V. Khera Hong-Hee Won showing how high genetic risk for obesity and an obesogenic lifestyle synergistically are associated with greater obesity risk sciencedirect.com/science/articl… Cell Metabolism Injeong Shim Akl Fahed Ron Do

How does a polygenic risk score for obesity (BMI) interact with 5 lifestyle factors for outcomes in >330,000 UK Biobank participants ? cell.com/cell-metabolis… Cell Metabolism Min Seo Kim, MD, MSs Amit V. Khera Injeong Shim Akl Fahed Pradeep Natarajan Ron Do

I’m thrilled to share that our work from the VA Research is finally out in Science Magazine ! We dive deep into the genetic architecture of 2,068 traits using data from the VA Million Veteran Program, comprising 635,969 Veteran. science.org/doi/10.1126/sc…

The best part of my job. Huge congrats to Dr. Áine Duffy on a successful PhD thesis defense!

Our collaboration led by George Thanassoulis uses plasma proteomics and Mendelian randomization to prioritize ITPA, ACE, and PCSK9 as therapeutic targets for aortic stenosis linkinghub.elsevier.com/retrieve/pii/S… JACC Journals Gina Peloso Aeron Small

Very happy to bring a piece of Uruguay to the US. And grateful with Ron Do & Icahn School of Medicine at Mount Sinai for the opportunity to do research together.

A new website allows users to upload GWAS summary stats and receive PRS model coefficient based on 16 methods + evaluation of accuracy in the UK biobank. pgsfusion.net biorxiv.org/content/10.110…

A landmark paper on protein aging clocks, validated across 3 country biobanks (UK, FInland, China) for association with risk of 18 chronic diseases, mortality, and age-related traits such as cognitive decline Nature Medicine Austin Argentieri and colleagues nature.com/articles/s4159…

Polygenic risk scores (PRS) for coronary artery disease (CAD) associate with disease incidence🧬 What about disease severity❓ In patients undergoing angiography, a CAD-PRS was linked to 👉metrics of atherosclerosis 👉incident myocardial infarction ahajournals.org/doi/abs/10.116…

Excited to share our preprint led by M. Kamineni HST Harvard Medical School student & with Broad Institute senior postdoc (and soon Clinical & Translational Epidemiology Unit - MGH Harvard Medical School investigator) Zhi Yu using an unbiased radiomics assessment of the spleen to uncover new inflammatory insights about coronary

Our new arXiv paper: We built a generative AI model of blood glucose levels from 10 million continuous glucose monitoring measurements of 11,000 people from the Human Phenotype Project We show that our model can predict clinical parameters such as liver-related parameters, blood

Now online simultaneously with #ESCCongress! Colchicine as a promising candidate to prevent atherosclerosis in TET2-mutant clonal hematopoiesis. A great collaboration with Pradeep Natarajan led by Marian Zuriaga and Zhi Yu. bit.ly/3T6JYFW

Beyond LDL cholesterol, the importance of inflammation (as reflected by hs-CRP) and Lp(a) for determining risk of adverse cardiovascular outcomes in a 30-year study of ~28,000 healthy women NEJM #ESCCongress2024 nejm.org/doi/full/10.10…