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The Korea Cohort Consortium: The Future of Pooling Cohort Studies
DC Field | Value | Language |
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dc.contributor.author | Lee, Sangjun | - |
dc.contributor.author | Ko, Kwang-Pil | - |
dc.contributor.author | Lee, Jung Eun | - |
dc.contributor.author | Kim, Inah | - |
dc.contributor.author | Jee, Sun Ha | - |
dc.contributor.author | Shin, Aesun | - |
dc.contributor.author | Kweon, Sun-Seog | - |
dc.contributor.author | Shin, Min-Ho | - |
dc.contributor.author | Park, Sangmin | - |
dc.contributor.author | Ryu, Seungho | - |
dc.contributor.author | Yang, Sun Young | - |
dc.contributor.author | Choi, Seung Ho | - |
dc.contributor.author | Kim, Jeongseon | - |
dc.contributor.author | Yi, Sang-Wook | - |
dc.contributor.author | Kang, Daehee | - |
dc.contributor.author | Yoo, Keun-Young | - |
dc.contributor.author | Park, Sue K. | - |
dc.date.accessioned | 2024-08-08T01:22:03Z | - |
dc.date.available | 2024-08-08T01:22:03Z | - |
dc.date.created | 2023-03-07 | - |
dc.date.created | 2023-03-07 | - |
dc.date.issued | 2022-09 | - |
dc.identifier.citation | 예방의학회지, Vol.55 No.5, pp.464-474 | - |
dc.identifier.issn | 1975-8375 | - |
dc.identifier.uri | https://hdl.handle.net/10371/205435 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.publisher | 대한예방의학회 | - |
dc.title | The Korea Cohort Consortium: The Future of Pooling Cohort Studies | - |
dc.type | Article | - |
dc.identifier.doi | 10.3961/jpmph.22.299 | - |
dc.citation.journaltitle | 예방의학회지 | - |
dc.identifier.wosid | 001100821700007 | - |
dc.identifier.scopusid | 2-s2.0-85140142381 | - |
dc.citation.endpage | 474 | - |
dc.citation.number | 5 | - |
dc.citation.startpage | 464 | - |
dc.citation.volume | 55 | - |
dc.identifier.kciid | ART002883421 | - |
dc.description.isOpenAccess | Y | - |
dc.contributor.affiliatedAuthor | Lee, Jung Eun | - |
dc.contributor.affiliatedAuthor | Shin, Aesun | - |
dc.contributor.affiliatedAuthor | Park, Sangmin | - |
dc.contributor.affiliatedAuthor | Kang, Daehee | - |
dc.contributor.affiliatedAuthor | Park, Sue K. | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.subject.keywordPlus | CANCER INCIDENCE | - |
dc.subject.keywordPlus | POOLED ANALYSIS | - |
dc.subject.keywordPlus | UK BIOBANK | - |
dc.subject.keywordPlus | PROFILE | - |
dc.subject.keywordPlus | RESOURCE | - |
dc.subject.keywordAuthor | Cohort studies | - |
dc.subject.keywordAuthor | Data pooling | - |
dc.subject.keywordAuthor | Follow-up studies | - |
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