- The Korea Cohort Consortium: The Future of Pooling Cohort Studies
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Sangjun Lee, Kwang-Pil Ko, Jung Eun Lee, Inah Kim, Sun Ha Jee, Aesun Shin, Sun-Seog Kweon, Min-Ho Shin, Sangmin Park, Seungho Ryu, Sun Young Yang, Seung Ho Choi, Jeongseon Kim, Sang-Wook Yi, Daehee Kang, Keun-Young Yoo, Sue K. Park
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J Prev Med Public Health. 2022;55(5):464-474. Published online September 12, 2022
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DOI: https://doi.org/10.3961/jpmph.22.299
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 Abstract
Summary
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- Objectives
We introduced the cohort studies included in the Korea 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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Summary
Korean summary
한국 코호트 컨소시엄(KCC)은 “2015년 한국의 생활 습관 및 환경 요인에 따른 암 기여분율” 프로젝트의 3단계 과업으로써, 본 프로젝트에 참여한 기존의 구축된 개인 코호트 연구의 연구자들을 주도로 다수의 대규모 한국 코호트 연구를 기반으로 구성되었다. 따라서 본 연구는 KCC에 포함된 한국 코호트 연구를 소개하는 것을 목표로 하였다. 또한 여러 기 확립된 국제 컨소시엄을 기반으로 빅데이터 기반 코호트 풀링 연구의 중요성을 제시하였다.
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Citations
Citations to this article as recorded by  - A Comparison of Green, Delta, and Monte Carlo Methods to Select an Optimal Approach for Calculating the 95% Confidence Interval of the Population-attributable Fraction: Guidance for Epidemiological Research
Sangjun Lee, Sungji Moon, Kyungsik Kim, Soseul Sung, Youjin Hong, Woojin Lim, Sue K. Park
Journal of Preventive Medicine and Public Health.2024; 57(5): 499. CrossRef - Comparison of Population Attributable Fractions of Cancer Incidence and Mortality Linked to Excess Body Weight in Korea from 2015 to 2030
Youjin Hong, Jihye An, Jeehi Jung, Hyeon Sook Lee, Soseul Sung, Sungji Moon, Inah Kim, Jung Eun Lee, Aesun Shin, Sun Ha Jee, Sun-Seog Kweon, Min-Ho Shin, Sangmin Park, Seung-Ho Ryu, Sun Young Yang, Seung Ho Choi, Jeongseon Kim, Sang-Wook Yi, Yoon-Jung Cho
Endocrinology and Metabolism.2024; 39(6): 921. CrossRef - The relationship between regional inequalities in the provision of emergency health services and other health services
Erkan Boğa
Medicine.2023; 102(45): e35930. CrossRef
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