Broad Institute of MIT and Harvard’s Post

The risk of coronary artery disease (CAD) can change over a person’s lifetime, and current methods of estimating CAD risk don’t incorporate new information over time. Sarah Urbut, Pradeep Natarajan, and colleagues have developed MSGene, a model that accounts for longitudinal data, clinical covariates, and CAD polygenic risk scores to estimate transitions between 10 cardiometabolic states. The team used MSGene to analyze longitudinal data from more than 480,000 UK Biobank participants and found that it improved risk predictions compared to other risk scores. The findings, in Nature Communications, highlight the potential public health value of more accurate lifetime CAD risk estimation. #BroadInstitute #Science #ScienceNews #Research #ScientificResearch

MSGene: a multistate model using genetic risk and the electronic health record applied to lifetime risk of coronary artery disease - Nature Communications

MSGene: a multistate model using genetic risk and the electronic health record applied to lifetime risk of coronary artery disease - Nature Communications

nature.com

Sandra Tremulis, MBA

Marketing Consultant @ Tremulis Stractical Marketing Consulting | MBA, Inherited CardioMetabolic Health, Women's Health

4d

The participants who gave their DNA to the UKBiobank deserve a medal of recognition for changing science for everyone globally.

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Sandra Tremulis, MBA

Marketing Consultant @ Tremulis Stractical Marketing Consulting | MBA, Inherited CardioMetabolic Health, Women's Health

4d

Did this include high Lp(a), homocysteinemia, genetically high triglycerides?

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