Genetic Architecture of the Cardiovascular Risk Proteome.

ABSTRACT:

Background

We recently identified 156 proteins in human plasma that were each associated with the net Framingham Cardiovascular Disease Risk Score using an aptamer-based proteomic platform in Framingham Heart Study Offspring participants. Here we hypothesized that performing genome-wide association studies and exome array analyses on the levels of each of these 156 proteins might identify genetic determinants of risk-associated circulating factors and provide insights into early cardiovascular pathophysiology.

Methods

We studied the association of genetic variants with the plasma levels of each of the 156 Framingham Cardiovascular Disease Risk Score-associated proteins using linear mixed-effects models in 2 population-based cohorts. We performed discovery analyses on plasma

SUBMITTER: Benson MD 

PROVIDER: S-EPMC5849518 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature