J Prev Med Public Health.
2022 Sep;55(5):464-474. 10.3961/jpmph.22.299.
The Korea Cohort Consortium: The Future of Pooling Cohort Studies
- Lee S
1,2,3 - Ko KP4
- Lee JE5
- Kim I6
- Jee SH7
- Shin A1,2,8
- Kweon SS9
- Shin MH9
- Park S3,10
- Ryu S11
- Yang SY12
- Choi SH12
- Kim J13
- Yi SW14
- Kang D1,2,8
- Yoo KY15,16
- Park SK1,2,8
- Affiliations
-
- 1Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- 2Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
- 3Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
- 4Clinical Preventive Medicine Center, Seoul National University Bundang Hospital, Seongnam, Korea
- 5Department of Food and Nutrition, Seoul National University, Seoul, Korea
- 6Department of Occupational and Environmental Medicine, Hanyang University College of Medicine, Seoul, Korea
- 7Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
- 8Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, Korea
- 9Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea
- 10Department of Family Medicine, Seoul National University Hospital, Seoul, Korea
- 11Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
- 12Department of Internal Medicine, Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea
- 13Graduate School of Science and Policy, National Cancer Center, Korea
- 14Department of Preventive Medicine and Public Health, Catholic Kwandong University College of Medicine, Gangneung, Korea
- 15Veterans Health Service Medical Center, Seoul, Korea
- 16Seoul National University College of Medicine, Seoul, Korea
- KMID: 2534256
- DOI: http://doi.org/10.3961/jpmph.22.299
Abstract
Objectives
We introduced the cohort studies included in the Korean Cohort Consortium (KCC), focusing on large-scale cohort studies established in Korea with a prolonged follow-up period. Moreover, we also provided projections of the follow-up and estimates of the sample size that would be necessary for big-data analyses based on pooling established cohort studies, including population-based genomic studies.
Methods
We mainly focused on the characteristics of individual cohort studies from the KCC. We developed “PROFAN”, a Shiny application for projecting the follow-up period to achieve a certain number of cases when pooling established cohort studies. As examples, we projected the follow-up periods for 5000 cases of gastric cancer, 2500 cases of prostate and breast cancer, and 500 cases of non-Hodgkin lymphoma. The sample sizes for sequencing-based analyses based on a 1:1 case-control study were also calculated.
Results
The KCC consisted of 8 individual cohort studies, of which 3 were community-based and 5 were health screening-based cohorts. The population-based cohort studies were mainly organized by Korean government agencies and research institutes. The projected follow-up period was at least 10 years to achieve 5000 cases based on a cohort of 0.5 million participants. The mean of the minimum to maximum sample sizes for performing sequencing analyses was 5917-72 102.
Conclusions
We propose an approach to establish a large-scale consortium based on the standardization and harmonization of existing cohort studies to obtain adequate statistical power with a sufficient sample size to analyze high-risk groups or rare cancer subtypes.
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