Chief Supervisor

Prof.HE Mingguang

Project Title

Synopsis

This study aims to identify the individualized aging biomarker in a multi-omics approach. Utilizing a homogeneous cohort of 250 female participants as well as public multi-omics cohort, this study aims to integrate oculomics with other omics data, including genomic, proteomic, metabolomic and behavioral omics data, and to generate an integrative Personal Omics Profile (iPOP). By doing so, the research seeks to achieve two primary objectives: first, to gain a deeper understanding and biological insight of personal aging process, and second, to identify effective and robust oculomics or multi-modal biomarkers that can be used for aging related disease prediction or risk stratification in populations.