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The design and implementation of natural population cohort study Biobank: A multiple-center project cooperation with medical consortia in Southwest China
OBJECTIVE: The West China Hospital of Sichuan University collaborated with regional medical consortia in Sichuan Province to launch a natural population cohort study (NPCS) to investigate the health status of residents and collect public health data in southwest China. METHODS: Up to 80,000 particip...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751194/ https://www.ncbi.nlm.nih.gov/pubmed/36530701 http://dx.doi.org/10.3389/fpubh.2022.996169 |
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author | Fan, Ping Zhang, Shu Wang, Weiya Yang, Zongze Tan, Weiwei Li, Shujun Zhu, Chenxing Hu, Dan Zhou, Xinran Tian, Zixuan Wang, Yaxi Liu, Fang Huang, Wei Chen, Lei |
author_facet | Fan, Ping Zhang, Shu Wang, Weiya Yang, Zongze Tan, Weiwei Li, Shujun Zhu, Chenxing Hu, Dan Zhou, Xinran Tian, Zixuan Wang, Yaxi Liu, Fang Huang, Wei Chen, Lei |
author_sort | Fan, Ping |
collection | PubMed |
description | OBJECTIVE: The West China Hospital of Sichuan University collaborated with regional medical consortia in Sichuan Province to launch a natural population cohort study (NPCS) to investigate the health status of residents and collect public health data in southwest China. METHODS: Up to 80,000 participants will be enrolled by the NPCS from 11 regional medical consortia over five years. Individuals are invited to visit one of 11 participating medical consortia to fill out questionnaires, receive a free health exam, and donate biospecimens upon enrolment. All participating medical facilities adhered to standard operating procedures for collecting and processing biospecimens to ensure uniformity (serum, lithium heparinized plasma, ethylene diamine tetraacetie acid plasma, and buffy coat). The Electronic Data Capture System, Picture Archiving and Communication System, Laboratory Information Management System, Biospecimen Quality Control System, Biobank Information Management System, and will be used to sort and classify clinical indices, imaging data, laboratory parameters, pre-analytical variables, and biospecimen information, respectively. All quality assurance and quality control procedures in the NPCS biobank adhered to the “DAIDS Guidelines for Good Clinical Laboratory Practice Standards”. This project will integrate high-dimensional multi-omics data, laboratory data, clinical data, questionnaire data, and environmental risk factors. RESULTS: An estimated 2,240,000 aliquots of the sample will be stored by the end of the study. These samples are linked with comprehensively collected clinical indices, imaging data, and laboratory parameters. Big data analysis can be implemented to create predictive algorithms, explore pathogenesis mechanisms, uncover potential biomarkers, and provide information on public health. CONCLUSIONS: NPCS will provide an integrative approach to research risk factors and pathogenesis of major chronic or endemic diseases in Sichuan Province and provide key scientific evidence to support the formulation of health management policies in China. |
format | Online Article Text |
id | pubmed-9751194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97511942022-12-16 The design and implementation of natural population cohort study Biobank: A multiple-center project cooperation with medical consortia in Southwest China Fan, Ping Zhang, Shu Wang, Weiya Yang, Zongze Tan, Weiwei Li, Shujun Zhu, Chenxing Hu, Dan Zhou, Xinran Tian, Zixuan Wang, Yaxi Liu, Fang Huang, Wei Chen, Lei Front Public Health Public Health OBJECTIVE: The West China Hospital of Sichuan University collaborated with regional medical consortia in Sichuan Province to launch a natural population cohort study (NPCS) to investigate the health status of residents and collect public health data in southwest China. METHODS: Up to 80,000 participants will be enrolled by the NPCS from 11 regional medical consortia over five years. Individuals are invited to visit one of 11 participating medical consortia to fill out questionnaires, receive a free health exam, and donate biospecimens upon enrolment. All participating medical facilities adhered to standard operating procedures for collecting and processing biospecimens to ensure uniformity (serum, lithium heparinized plasma, ethylene diamine tetraacetie acid plasma, and buffy coat). The Electronic Data Capture System, Picture Archiving and Communication System, Laboratory Information Management System, Biospecimen Quality Control System, Biobank Information Management System, and will be used to sort and classify clinical indices, imaging data, laboratory parameters, pre-analytical variables, and biospecimen information, respectively. All quality assurance and quality control procedures in the NPCS biobank adhered to the “DAIDS Guidelines for Good Clinical Laboratory Practice Standards”. This project will integrate high-dimensional multi-omics data, laboratory data, clinical data, questionnaire data, and environmental risk factors. RESULTS: An estimated 2,240,000 aliquots of the sample will be stored by the end of the study. These samples are linked with comprehensively collected clinical indices, imaging data, and laboratory parameters. Big data analysis can be implemented to create predictive algorithms, explore pathogenesis mechanisms, uncover potential biomarkers, and provide information on public health. CONCLUSIONS: NPCS will provide an integrative approach to research risk factors and pathogenesis of major chronic or endemic diseases in Sichuan Province and provide key scientific evidence to support the formulation of health management policies in China. Frontiers Media S.A. 2022-12-01 /pmc/articles/PMC9751194/ /pubmed/36530701 http://dx.doi.org/10.3389/fpubh.2022.996169 Text en Copyright © 2022 Fan, Zhang, Wang, Yang, Tan, Li, Zhu, Hu, Zhou, Tian, Wang, Liu, Huang and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Fan, Ping Zhang, Shu Wang, Weiya Yang, Zongze Tan, Weiwei Li, Shujun Zhu, Chenxing Hu, Dan Zhou, Xinran Tian, Zixuan Wang, Yaxi Liu, Fang Huang, Wei Chen, Lei The design and implementation of natural population cohort study Biobank: A multiple-center project cooperation with medical consortia in Southwest China |
title | The design and implementation of natural population cohort study Biobank: A multiple-center project cooperation with medical consortia in Southwest China |
title_full | The design and implementation of natural population cohort study Biobank: A multiple-center project cooperation with medical consortia in Southwest China |
title_fullStr | The design and implementation of natural population cohort study Biobank: A multiple-center project cooperation with medical consortia in Southwest China |
title_full_unstemmed | The design and implementation of natural population cohort study Biobank: A multiple-center project cooperation with medical consortia in Southwest China |
title_short | The design and implementation of natural population cohort study Biobank: A multiple-center project cooperation with medical consortia in Southwest China |
title_sort | design and implementation of natural population cohort study biobank: a multiple-center project cooperation with medical consortia in southwest china |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751194/ https://www.ncbi.nlm.nih.gov/pubmed/36530701 http://dx.doi.org/10.3389/fpubh.2022.996169 |
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