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Cohort profile Cohort profile update: the Korean Cancer Prevention Study-II Biobank
Heejin Kimm1,2*orcid , Keum Ji Jung1,2*orcid , Wes Spiller2orcid , Yeun Soo Yang2orcid , So Young Kim3orcid , Min Young Park4orcid , Sun Mi Lee3orcid , Sun Ha Jee1,2orcid
Epidemiol Health 2025;e2025040
DOI: https://doi.org/10.4178/epih.e2025040 [Accepted]
Published online: July 29, 2025
1Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
2Institute for Health Promotion, Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
3Health Insurance Research Institute, National Health Insurance Service, Wonju, Korea
4JS Link, Inc, Seoul, Korea
Corresponding author:  Sun Ha Jee,
Email: jsunha@yuhs.ac
* Heejin Kimm and Keum Ji Jung contributed equally to this study as co-first authors.
Received: 27 February 2025   • Revised: 23 June 2025   • Accepted: 8 July 2025
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Chronic diseases such as cancer and cardiovascular disease have a substantial impact on mortality and global disease burden. The Korean Cancer Prevention Study-II (KCPS-II) biobank was established to investigate these chronic diseases, with a particular focus on metabolic risk factors. Recently, genetic information reflecting diverse ancestries has been incorporated to support a precision medicine approach. These data can be leveraged to identify variation in causal effects among different ancestral groups, thereby informing the development of more effective, ancestry-specific treatments. From 2004 to 2013, baseline data were collected from 156,701 individuals aged 20–85 years, recruited from 18 health promotion centres across South Korea. Outcome data are routinely obtained from Statistics Korea (mortality data), the National Cancer Centre (cancer registry data), and the National Health Insurance Service (morbidity data). Additionally, new participants have been enrolled since 2022 as part of an ongoing expansion. This population-based cohort, enriched with genetic data, provides a robust foundation for research aimed at elucidating causal relationships in chronic disease.


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