Journal of Preventive Medicine and Public Health

The Korean Society for Preventive Medicine (대한예방의학회)
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The Korea Cohort Consortium: The Future of Pooling Cohort Studies

  • Lee, Sangjun (Department of Preventive Medicine, Seoul National University College of Medicine) ;
  • Ko, Kwang-Pil (Clinical Preventive Medicine Center, Seoul National University Bundang Hospital) ;
  • Lee, Jung Eun (Department of Food and Nutrition, Seoul National University) ;
  • Kim, Inah (Department of Occupational and Environmental Medicine, Hanyang University College of Medicine) ;
  • Jee, Sun Ha (Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University) ;
  • Shin, Aesun (Department of Preventive Medicine, Seoul National University College of Medicine) ;
  • Kweon, Sun-Seog (Department of Preventive Medicine, Chonnam National University Medical School) ;
  • Shin, Min-Ho (Department of Preventive Medicine, Chonnam National University Medical School) ;
  • Park, Sangmin (Department of Biomedical Sciences, Seoul National University Graduate School) ;
  • Ryu, Seungho (Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine) ;
  • Yang, Sun Young (Department of Internal Medicine, Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center) ;
  • Choi, Seung Ho (Department of Internal Medicine, Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center) ;
  • Kim, Jeongseon (Graduate School of Science and Policy, National Cancer Center) ;
  • Yi, Sang-Wook (Department of Preventive Medicine and Public Health, Catholic Kwandong University College of Medicine) ;
  • Kang, Daehee (Department of Preventive Medicine, Seoul National University College of Medicine) ;
  • Yoo, Keun-Young (Veterans Health Service Medical Center) ;
  • Park, Sue K. (Department of Preventive Medicine, Seoul National University College of Medicine)
  • Received : 2022.07.06
  • Accepted : 2022.08.19
  • Published : 2022.09.30
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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.

Keywords

Acknowledgement

This work was supported by the Korean Genome and Epidemiology Study (KoGES; 6635-302), National Institute of Health, Korea Disease Control and Prevention Agency, Republic of Korea, Korea National Health and Nutrition Examination Survey (KNHANES), Korea Disease Control and Prevention Agency, and customized cohort databases provided by the National Health Insurance Service (NHIS-2019-1-495, NHIS-2020-1-164), Occupational Safety and Health Research Institute (OSHRI), and Korea Occupational Safety and Health Agency (KOSHA).

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