- 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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