Polygenic risk scores predict diabetes complications and their response to intensive blood pressure and glucose control.

ABSTRACT:

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. Genetic information can be used to enable early detection of risk.

Methods

We developed a multi-polygenic risk score (multiPRS) that combines ten weighted PRSs (10 wPRS) composed of 598 SNPs associated with main risk factors and outcomes of type 2 diabetes, derived from summary statistics data of genome-wide association studies. The 10 wPRS, first principal component of ethnicity, sex, age at onset and diabetes duration were included into one logistic regression model to predict micro- and macrovascular outcomes in 4098 participants in the ADVANCE study and 17,604 individuals with type 2 diabetes in the

SUBMITTER: Tremblay J 

PROVIDER: S-EPMC8382653 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature