Achievements (1)
Association of circulating metabolites and polygenic risk score with incident type 2 diabetes: a prospective community-based cohort study
Takase M; Nakaya N; Kogure M; Hatanaka R; Nakaya K; Chiba I; Tokioka S; Nochioka K; Nakamura T; Tsuchiya N; Hirata T; Koshiba S; Kumada K; Motoike I; Hishinuma E; Narita A; Obara T; Ishikuro M; Ohseto H; Takahashi I; Kobayashi T; Kodama EN; Hamanaka Y; Orui M; Ogishima S; Nagaie S; Fuse N; Sugawara J; Kuriyama S; Matsuda K; Izumi Y; Ohneda K; Kinoshita K; Hozawa A; Yamamoto M; Biobank Japan Project; ToMMo investigators
Cardiovascular diabetology
Blog Posts (2)
Genomic Research for Clinical Researchers: Leveraging GWAS
A practical guide for clinical researchers on leveraging GWAS results through polygenic risk scores (PRS) and Mendelian randomization (MR) for disease prediction and causal inference.
How to Leverage Disease Risk Prediction ─ Perspectives from Epidemiology and Preventive Medicine ①
Why predict disease risk? An epidemiologist clarifies how risk prediction differs from causal inference and outlines three conditions under which prediction models matter clinically.