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Dataset Information

Protein Biomarkers of Cardiovascular Disease and Mortality in the Community.


ABSTRACT:

Background

The discovery of novel and highly predictive biomarkers of cardiovascular disease (CVD) has the potential to improve risk-stratification methods and may be informative regarding biological pathways contributing to disease.

Methods and results

We used a discovery proteomic platform that targeted high-value proteins for CVD to ascertain 85 circulating protein biomarkers in 3523 Framingham Heart Study participants (mean age, 62 years; 53% women). Using multivariable-adjusted Cox models to account for clinical variables, we found 8 biomarkers associated with incident atherosclerotic CVD, 18 with incident heart failure, 38 with all-cause mortality, and 35 with CVD death (false discovery rate, q<0.05 for all; P-value ranges, 9.8×10-34 to 3.6×10-2<

SUBMITTER: Ho JE 

PROVIDER: S-EPMC6064847 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature