Comparative Analysis of Type 2 Diabetes (T2D) Onset and Management in UK and Singaporean Populations: Identifying Population Specific Trends and Risk Factors
Main Applicant – Dr Neerja Karnani, Deputy Director (Clinical), Bioinformatics Institute, A*STAR 

Type 2 Diabetes (T2D) affects over 537 million people globally, with substantial variation in onset, progression, and management across populations.

Real-world data from disease registries and electronic health records are crucial for population health management, offering insights into risk factors, surveillance, and care delivery. Despite this, significant disparities in risk assessment and treatment outcomes remain, particularly for Asian populations, where knowledge gaps hinder effective understanding.

This study compares T2D in the UK and Singapore, focusing on population-specific risk factors and disease management trends. By integrating demographic, socioeconomic, and clinical data, it explores differences in age and BMI at diagnosis, glycemic control, lipid profiles, liver function, and medication use, providing valuable insights into population-specific trends.

This study demonstrates how federated analytics can enhance understanding of T2D and foster global collaboration to address shared health challenges.