This study aims to systematically elucidate the mechanisms shaping visual health-determined by complex genetic, developmental, and environmental factors-and to develop precise predictive tools. It seeks to integrate multimodal data from UK Biobank to uncover multi-level biological pathways, evaluate causal and interactive effects, and build integrated risk models for major eye diseases.
Objectives:
1.Quantify population-scale ocular structural variation using imaging-derived phenotypes.
2.Identify genetic and molecular pathways influencing eye development and disease via multi-omics integration.
3.Establish causal links between genes, imaging phenotypes, and disease using Mendelian randomization.
4.Assess independent and interactive effects of lifestyle and environmental exposures on visual health.
5.Develop an interpretable, multimodal risk prediction model for major ocular diseases.
Scientific Rationale:
Visual health arises from multifactorial influences whose integrated pathways remain poorly understood. UK Biobank uniquely provides large-scale, high-resolution ophthalmic imaging paired with multi-omics and rich phenotypic data within the same cohort. This enables, for the first time, a systematic cross-modal analysis to decode disease mechanisms and deliver actionable insights for early, precise ocular disease prevention and diagnosis.