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The Korea Cohort Consortium: The Future of Pooling Cohort Studies

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dc.contributor.authorLee, Sangjun-
dc.contributor.authorKo, Kwang-Pil-
dc.contributor.authorLee, Jung Eun-
dc.contributor.authorKim, Inah-
dc.contributor.authorJee, Sun Ha-
dc.contributor.authorShin, Aesun-
dc.contributor.authorKweon, Sun-Seog-
dc.contributor.authorShin, Min-Ho-
dc.contributor.authorPark, Sangmin-
dc.contributor.authorRyu, Seungho-
dc.contributor.authorYang, Sun Young-
dc.contributor.authorChoi, Seung Ho-
dc.contributor.authorKim, Jeongseon-
dc.contributor.authorYi, Sang-Wook-
dc.contributor.authorKang, Daehee-
dc.contributor.authorYoo, Keun-Young-
dc.contributor.authorPark, Sue K.-
dc.date.accessioned2024-08-08T01:22:03Z-
dc.date.available2024-08-08T01:22:03Z-
dc.date.created2023-03-07-
dc.date.created2023-03-07-
dc.date.issued2022-09-
dc.identifier.citation예방의학회지, Vol.55 No.5, pp.464-474-
dc.identifier.issn1975-8375-
dc.identifier.urihttps://hdl.handle.net/10371/205435-
dc.description.abstractCopyright © 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.-
dc.language영어-
dc.publisher대한예방의학회-
dc.titleThe Korea Cohort Consortium: The Future of Pooling Cohort Studies-
dc.typeArticle-
dc.identifier.doi10.3961/jpmph.22.299-
dc.citation.journaltitle예방의학회지-
dc.identifier.wosid001100821700007-
dc.identifier.scopusid2-s2.0-85140142381-
dc.citation.endpage474-
dc.citation.number5-
dc.citation.startpage464-
dc.citation.volume55-
dc.identifier.kciidART002883421-
dc.description.isOpenAccessY-
dc.contributor.affiliatedAuthorLee, Jung Eun-
dc.contributor.affiliatedAuthorShin, Aesun-
dc.contributor.affiliatedAuthorPark, Sangmin-
dc.contributor.affiliatedAuthorKang, Daehee-
dc.contributor.affiliatedAuthorPark, Sue K.-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.subject.keywordPlusCANCER INCIDENCE-
dc.subject.keywordPlusPOOLED ANALYSIS-
dc.subject.keywordPlusUK BIOBANK-
dc.subject.keywordPlusPROFILE-
dc.subject.keywordPlusRESOURCE-
dc.subject.keywordAuthorCohort studies-
dc.subject.keywordAuthorData pooling-
dc.subject.keywordAuthorFollow-up studies-
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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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