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The Korea Cohort Consortium: The Future of Pooling Cohort Studies

Cited 1 time in Web of Science Cited 1 time in Scopus
Authors

Lee, Sangjun; Ko, Kwang-Pil; Lee, Jung Eun; Kim, Inah; Jee, Sun Ha; Shin, Aesun; Kweon, Sun-Seog; Shin, Min-Ho; Park, Sangmin; Ryu, Seungho; Yang, Sun Young; Choi, Seung Ho; Kim, Jeongseon; Yi, Sang-Wook; Kang, Daehee; Yoo, Keun-Young; Park, Sue K.

Issue Date
2022-09
Publisher
대한예방의학회
Citation
예방의학회지, Vol.55 No.5, pp.464-474
Abstract
Copyright © 2022 The Korean Society for Preventive Medicine.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.
ISSN
1975-8375
URI
https://hdl.handle.net/10371/205435
DOI
https://doi.org/10.3961/jpmph.22.299
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  • College of Human Ecology
  • Department of Food and Nutrition
Research Area epidemiology, nutrition, nutritional epidemiology, 만성질환 예방 및 관리에 관한 영양역학 연구

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