Aims/hypothesis Type 2 diabetes increases the risk of cardiovascular and renal
complications, but early risk prediction could lead to timely intervention and better outcomes …

Aims/hypothesis Both obesity and genetics contribute to cardiovascular disease (CVD). We
examined whether a genetic risk score (GRS) prospectively predicted cardiovascular …

Background Type 2 diabetes mellitus (T2DM) is a prototypical complex disease with
polygenic architecture playing an important role in determining susceptibility to develop the …

Background Type 2 diabetes increases the risk of coronary heart disease (CHD), yet the
mechanisms involved remain poorly described. Polygenic risk scores (PRS) provide an …

Polygenic risk scores (PRSs) are a promising approach to accurately predict an individual's
risk of developing disease. The area under the receiver operating characteristic curve (AUC) …

OBJECTIVE Given the high rates of cardiovascular disease (CVD) and associated mortality
in individuals with type 2 diabetes, identifying and understanding predictors of CVD events …

Purpose: Using effect estimates from genome-wide association studies (GWAS), we
identified a genetic risk score (GRS) that has the strongest association with type 2 diabetes …

Polygenic risk score (PRS) has been shown to be predictive of disease risk such as type 2
diabetes (T2D). However, the existing studies on genetic prediction for T2D only had limited …

Decades of research have identified numerous biomarkers for cardiovascular diseases
(CVDs) and type 2 diabetes, providing molecular insights for improved treatment and …

OBJECTIVE To establish a polyexposure score (PXS) for type 2 diabetes (T2D)
incorporating 12 nongenetic exposures and examine whether a PXS and/or a polygenic risk …