Ontology highlight
ABSTRACT: Importance
Earlier identification of high coronary artery disease (CAD) risk individuals may enable more effective prevention strategies. However, existing 10-year risk frameworks are ineffective at earlier identification. Understanding the variable importance of genomic and clinical factors across life stages may significantly improve lifelong CAD event prediction.Objective
To assess the time-varying significance of genomic and clinical risk factors in CAD risk estimation across various age groups.Design setting and participants
A longitudinal study was performed using data from two cohort studies: the Framingham Offspring Study (FOS) with 3,588 participants aged 19-57 years and the UK Biobank (UKB) with 327,837 participants aged 40-70 years. A total of 134,765 and
SUBMITTER: Urbut SM
PROVIDER: S-EPMC10635271 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature