Ageing is characterized by substantial individual variation in its rate and susceptibility to age-related diseases. However, the genetic, biological, and environmental determinants of healthy ageing remain poorly understood due to the complex and multifaceted nature of ageing. To address this gap, this project aims to adopt a systems biology approach to investigate how genetics, biomarkers (e.g., proteomics, metabolomics, clinical biomarkers), lifestyle and socioeconomic factors (e.g., physical activity, diet, education) interact with each other and influence outcomes of healthy ageing, including frailty, healthspan, and risk of major age-related diseases. Using large-scale omics data (e.g., genomics, proteomics, metabolomics), the project will identify biological pathways linked to healthy ageing. Moreover, we will develop and validate predictive multi-omics models that integrate genetics, proteomics, metabolomics, and other omics layers to improve the prediction of frailty and major age-related diseases. The study will also assess how lifestyle and socioeconomic influence ageing outcomes and interact with genetic and omics biomarkers. These findings will provide new insights into potentially modifiable risk factors, offering evidence to inform health policies and interventions aimed at promoting healthy ageing.
