Type 2 diabetes results from a complex interaction between genetic and environmental
factors. Precision medicine for type 2 diabetes using genetic data is expected to predict the …

Cardiovascular disease (CVD) is a leading cause of morbidity and mortality globally.
Although CVD events do not typically manifest until older adulthood, CVD develops …

Polygenic risk scores (PRS) enhance population risk stratification and advance
personalized medicine, but existing methods face several limitations, encompassing issues …

Numerous type 2 diabetes (T2D) polygenic risk scores (PGSs) have been developed to
predict individuals' predisposition to the disease. An independent assessment and …

Background Atrial fibrillation (AF), the most common atrial arrhythmia, presents with varied
clinical manifestations. Despite the identification of genetic loci associated with AF …

Polygenic risk scores (PRS) enhance population risk stratification and advance
personalized medicine, yet existing methods face a tradeoff between predictive power and …

Atrial fibrillation (AF) is a common heart arrhythmia and a major cause of cardioembolic
stroke. Therefore, accurate prediction is desirable to allow high-risk individuals to be …

Electronic health record (EHR)-based phenotype risk scores (PheRS) leverage individuals'
health trajectories to infer disease risk. Similarly, polygenic scores (PGS) use genetic …

BACKGROUND: Atrial fibrillation (AF) is the most common atrial arrhythmia and is
subcategorized into numerous clinical phenotypes. Previous studies demonstrated that early …

Background: Coronary heart disease (CHD) is a leading cause of death for Hispanic/Latino
populations in the United States. We evaluated polygenic risk scores (PRS) with incident …