Using the OLINK platform’s inflammation and cardiovascular panels, we have constructed a proteomic age score and calculated proteomic age acceleration (how much proteomic age differs from the chronological age) using data from a Dutch cohort (n=302) established at Radboudumc. However, this and other cohorts that we have access to lack follow-up information. With the UK Biobank data, we aim to understand if the proteomic age acceleration is able to predict cardiovascular events and/or mortality and how it compares to classical risk factors in terms of prediction. We would like to calculate the proteomic age score of the UK Biobank participants for which OLINK measurements are available and to test the predictive power using Cox proportional hazard regression.
