Division of Systems Epidemiology

Our research group aims to elucidate the complexity of human diseases through epidemiological approaches based on large-scale population data.

In particular, we focus on the processes through which disease risk and pathophysiology are shaped by complex interactions among diverse factors, including intrinsic factors represented by genetic predisposition and extrinsic factors such as environmental exposures. In addition, by characterizing the commonalities and differences observed across diseases, as well as the diversity observed between and within individuals, we seek to visualize disease architecture.

Such complexity cannot be fully captured through individual-level analyses alone, and some aspects become apparent only through comprehensive analyses of populations with diverse backgrounds. By combining epidemiological research platforms and large-scale biobanks with advanced molecular technologies, we are advancing research aimed at understanding disease-related processes ranging from biological mechanisms to clinical outcomes from multiple perspectives.

Furthermore, we aim to translate these findings into improved risk assessment and risk reduction strategies, ultimately contributing to precision medicine and novel approaches to disease management.