A Biomarker-based Biological Age in UK Biobank: Composition and Prediction of Mortality and Hospital Admissions.

ABSTRACT:

Background

Chronological age is the strongest risk factor for most chronic diseases. Developing a biomarker-based age and understanding its most important contributing biomarkers may shed light on the effects of age on later-life health and inform opportunities for disease prevention.

Methods

A subpopulation of 141 254 individuals healthy at baseline were studied, from among 480 019 UK Biobank participants aged 40-70 recruited in 2006-2010, and followed up for 6-12 years via linked death and secondary care records. Principal components of 72 biomarkers measured at baseline were characterized and used to construct sex-specific composite biomarker ages using the Klemera Doubal method, which derived a weighted sum of biomarker principal components based on their linear associat

SUBMITTER: Chan MS 

PROVIDER: S-EPMC8202154 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature