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Zheng L, Wang L. Comprehensive information management system for a medical research cohort biobank based on quality by design. BMC Med Inform Decis Mak 2023; 23:222. [PMID: 37845654 PMCID: PMC10580628 DOI: 10.1186/s12911-023-02318-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 09/30/2023] [Indexed: 10/18/2023] Open
Abstract
BACKGROUND With the development of big health and big data, cohort research has become a medical research hotspot. As an important repository of human genetic resources, biobanks must adapt to the requirements of large-scale and efficient operation. Thus, biobanks urgently need to design and build a legal, convenient, and efficient information management system. METHODS This study applies the concept of "quality by design" to build a comprehensive biobank information management system based on the analysis of user requirements, legal and regulatory risks, and industry-standard requirements. The system integrates the management of scientific research projects, biological specimens, clinical information, quality control, and multi-dimensional information query and development. After 10 months of its operation, the comprehensive management system was evaluated through statistical analysis of the efficiency of the construction of the pregnancy-birth cohort and the quality of genetic resources. RESULTS Since the system's launch, the statistics on cohort construction efficiency show that the enrollment rate of eligible pregnant women has increased, and the rate of missing volunteers has dropped. The time needed to establish a 1000-person cohort (with complete biological samples and clinical information in early, middle, and late pregnancy) was reduced, and the effective tracking rate of the samples was 77.42%. The error rate of the deep cryogenic refrigerator decreased, with a clinical information integrity rate of 96.47%. CONCLUSIONS The comprehensive biobank information management system constructed with the "quality by design" concept is well suited to meet the requirements of medical research. This study provides a solution for designing a comprehensive information system for medical institutions' biobanks.
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Affiliation(s)
- Lianshuai Zheng
- Biobank of Lianyungang Maternal and Child Health Hospital, Lianyungang Maternal and Child Health Hospital, Jiangsu, China
| | - Leilei Wang
- Biobank of Lianyungang Maternal and Child Health Hospital, Lianyungang Maternal and Child Health Hospital, Jiangsu, China.
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2
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Leung CK. An overview of cord blood stem cell transplantation in Hong Kong. JOURNAL OF MEDICAL SCIENCE 2022. [DOI: 10.20883/medical.e741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Haematopoietic stem cell graft derived from cord blood is standard therapy for several haematological malignancies and other diseases. The study reports cases of public and private (family) cord blood biobanking services and the related hematopoietic stem cell transplantation ever performed in Hong Kong. The published original research papers and review articles from inception to Nov 2022 have been searched for on Pubmed, Microsoft Academic Search, and Google Scholar to identify reports on existing or terminated cord blood biobanking and transplantation service in Hong Kong. Moreover, all data publicly available on the official websites of the local cord blood banks and local mainstream media has been analysed. The public Hong Kong Red Cross Blood Transfusion Service delivers the highest quantity of haematopoietic stem cell transplants. Among the private sector, HealthBaby releases the most cord blood units for clinical use in diseases in both autologous and allogeneic administration, followed by Cordlife HK. Both public and private (family) cord blood biobanks have been and continue to contribute to the Hong Kong cord blood donor registry. However, the growth of the cord blood inventory is detrimental to donor-recipient matching for lifesaving therapy.
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Suhre K, Stephan N, Zaghlool S, Triggle CR, Robinson RJ, Evans AM, Halama A. Matching Drug Metabolites from Non-Targeted Metabolomics to Self-Reported Medication in the Qatar Biobank Study. Metabolites 2022; 12:metabo12030249. [PMID: 35323692 PMCID: PMC8948833 DOI: 10.3390/metabo12030249] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 03/06/2022] [Accepted: 03/11/2022] [Indexed: 11/30/2022] Open
Abstract
Modern metabolomics platforms are able to identify many drug-related metabolites in blood samples. Applied to population-based biobank studies, the detection of drug metabolites can then be used as a proxy for medication use or serve as a validation tool for questionnaire-based health assessments. However, it is not clear how well detection of drug metabolites in blood samples matches information on self-reported medication provided by study participants. Here, we curate free-text responses to a drug-usage questionnaire from 6000 participants of the Qatar Biobank (QBB) using standardized WHO Anatomical Therapeutic Chemical (ATC) Classification System codes and compare the occurrence of these ATC terms to the detection of drug-related metabolites in matching blood plasma samples from 2807 QBB participants for which we collected non-targeted metabolomics data. We found that the detection of 22 drug-related metabolites significantly associated with the self-reported use of the corresponding medication. Good agreement of self-reported medication with non-targeted metabolomics was observed, with self-reported drugs and their metabolites being detected in a same blood sample in 79.4% of the cases. On the other hand, only 29.5% of detected drug metabolites matched to self-reported medication. Possible explanations for differences include under-reporting of over-the-counter medications from the study participants, such as paracetamol, misannotation of low abundance metabolites, such as metformin, and inability of the current methods to detect them. Taken together, our study provides a broad real-world view of what to expect from large non-targeted metabolomics measurements in population-based biobank studies and indicates areas where further improvements can be made.
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Affiliation(s)
- Karsten Suhre
- Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha 24144, Qatar; (N.S.); (S.Z.); (A.H.)
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA
- Correspondence:
| | - Nisha Stephan
- Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha 24144, Qatar; (N.S.); (S.Z.); (A.H.)
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Shaza Zaghlool
- Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha 24144, Qatar; (N.S.); (S.Z.); (A.H.)
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Chris R. Triggle
- Departments of Medical Education and Pharmacology, Weill Cornell Medicine-Qatar, Education City, Doha 24144, Qatar;
| | | | - Anne M. Evans
- Metabolon Inc., Morrisville, NC 27560, USA; (R.J.R.); (A.M.E.)
| | - Anna Halama
- Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha 24144, Qatar; (N.S.); (S.Z.); (A.H.)
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA
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Zhou H, Wu X, Zeng L, Yan X, Tian W, Xiong K, Huang J. The International Teaching and Practice of Cryobiology and Biobankology Course in China. Biopreserv Biobank 2020; 18:10-13. [PMID: 32069099 DOI: 10.1089/bio.2019.0104] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
In the past 10 years, clinical biobanks have experienced increasing expansion in China. Demand for systematically educated biobanking professionals is a priority for Chinese biobanks' agenda. The cryobiology and biobankology course is the first semester-long course in China, designed and developed at Central South University with international cooperation. Leading professors were from China, the United States, United Kingdom, and Canada to teach the latest version of biobanking knowledge and skills around the globe. This course is a comprehensive elective course with six specific teaching modules, which is suitable for graduate students majoring in basic medical sciences, clinical medicine, life sciences, mechanical engineering, and biomedical engineering, who would like to seek biobanking careers in the future. Participants from China, Czech Republic, Ghana, Madagascar, Tanzania, South Sudan, and Israel attended the course. Through taking this course, students can broaden their international academic horizons and cultivate the ability to learn and apply the knowledge of biology, medicine, and engineering to analyze and explain the low-temperature biology and clinical samples-based research practice. At the same time, the course enables students to realize the importance of multidisciplinary fields of biobanking and the significance of innovative precision medicine research, and further enlightens students' enthusiasm to pursue biobanking professional careers, and in the future they can proudly call themselves "biobankers."
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Affiliation(s)
- Hongkang Zhou
- Department of Anatomy and Neurobiology, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Xiuyu Wu
- Department of Anatomy and Neurobiology, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Leping Zeng
- Department of Anatomy and Neurobiology, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Xiaoxin Yan
- Department of Anatomy and Neurobiology, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Wei Tian
- Department of Immunology, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Kun Xiong
- Department of Anatomy and Neurobiology, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Jufang Huang
- Department of Anatomy and Neurobiology, School of Basic Medical Sciences, Central South University, Changsha, China
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5
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Wu M, Wu D, Hu C, Yan C. How to Make a Cost Model for the Birth Cohort Biobank in China. Front Public Health 2020; 8:24. [PMID: 32154203 PMCID: PMC7046621 DOI: 10.3389/fpubh.2020.00024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Accepted: 01/24/2020] [Indexed: 11/13/2022] Open
Abstract
Biobanks and cohort studies are a popular topic in China these days and even in the global scientific research field. Cohorts with biological material are necessary to investigate potential biological mechanisms behind a disease and its early detection. Establishing a biobank is expensive and the long-term sustainability of biorepositories is a key issue globally. There is some published information on tools to calculate the biospecimen user fee; however, they may not be suitable for China's biobanks (as most of the biobanks in China are not for profit and are funded by government or research grants, and as such, funding is a major constraint). The limited published data also tend to be highly variable and specific to the type of biobank. The authors of this article aim to present the basis of a cost analysis model for a biobank of human biological samples of a birth cohort in Shanghai, China. The results show that it is very practical for us to consider how to build a cost model for the birth cohort biobank from the direct funds, such as storage equipment, temperature monitoring system, information management system, and so on. We conclude that by comparing the similarities and differences between China's cost model and that of other countries, this paper provides valuable information for biobankers to identify new perspectives on potential collaborators and mutual learning opportunities.
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Affiliation(s)
- Meiqin Wu
- MOE, Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Deqing Wu
- Department of Gastroenterology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chunping Hu
- School of Public Health, Shanghai Jiao Tong University, Shanghai, China
| | - Chonghuai Yan
- MOE, Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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6
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Jiang M, Liu B, Wei Q. Pathogenic microorganism biobanking in China. JOURNAL OF BIOSAFETY AND BIOSECURITY 2019. [DOI: 10.1016/j.jobb.2018.12.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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7
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Li X, Chen Y, Zhang X, Huang T, Zhang P, Zhang Y. Design and Application of the Utility System of Clinical Data and Biobank Resource of the Beijing Friendship Hospital, Capital Medical University. Biopreserv Biobank 2018. [DOI: 10.1089/bio.2018.0053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Xiuhong Li
- Clinical Data and Biobank Resource, Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center of Digestive Diseases, Beijing Clinical Medicine Institute, Beijing Key Laboratory of Tolerance Induction and Organ Protection in Transplantation, Beijing, China
| | - Yilin Chen
- Clinical Data and Biobank Resource, Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center of Digestive Diseases, Beijing Clinical Medicine Institute, Beijing Key Laboratory of Tolerance Induction and Organ Protection in Transplantation, Beijing, China
| | - Xuan Zhang
- Clinical Data and Biobank Resource, Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center of Digestive Diseases, Beijing Clinical Medicine Institute, Beijing Key Laboratory of Tolerance Induction and Organ Protection in Transplantation, Beijing, China
| | - Tao Huang
- Clinical Data and Biobank Resource, Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center of Digestive Diseases, Beijing Clinical Medicine Institute, Beijing Key Laboratory of Tolerance Induction and Organ Protection in Transplantation, Beijing, China
| | - Ping Zhang
- Clinical Data and Biobank Resource, Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center of Digestive Diseases, Beijing Clinical Medicine Institute, Beijing Key Laboratory of Tolerance Induction and Organ Protection in Transplantation, Beijing, China
| | - Yun Zhang
- Clinical Data and Biobank Resource, Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center of Digestive Diseases, Beijing Clinical Medicine Institute, Beijing Key Laboratory of Tolerance Induction and Organ Protection in Transplantation, Beijing, China
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8
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Chen Y, Song L. China: concurring regulation of cross-border genomic data sharing for statist control and individual protection. Hum Genet 2018; 137:605-615. [PMID: 30014187 PMCID: PMC6132628 DOI: 10.1007/s00439-018-1903-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 07/05/2018] [Indexed: 11/19/2022]
Abstract
This paper reviews the major legal instruments and self-regulations that bear heavily on the cross-border sharing of genomic data in China. It first maps out three overlapping frameworks on genomic data and analyzes their underpinning policy goals. Subsequent sections examine the regulatory approaches with respect to five aspects of responsible use and sharing of genomic data, namely, consent, privacy, security, compatible processing, and oversight. It argues that substantial centralised control exerted by the state is, and would probably remain, the dominant feature of genomic data governance in China, though concerns of individual protection are gaining momentum. Rather than revolving around a simplistic antinomy between privacy preservation and open science, the regulatory landscape is mainly shaped by the tension between government desires for national security, state competitiveness, and public health benefits.
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Affiliation(s)
- Yongxi Chen
- Faculty of Law, The University of Hong Kong, Hong Kong, Hong Kong.
| | - Lingqiao Song
- Center of Genomics and Policy, McGill University, Montreal, Canada
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Liu X, Hoene M, Yin P, Fritsche L, Plomgaard P, Hansen JS, Nakas CT, Niess AM, Hudemann J, Haap M, Mendy M, Weigert C, Wang X, Fritsche A, Peter A, Häring HU, Xu G, Lehmann R. Quality Control of Serum and Plasma by Quantification of (4E,14Z)-Sphingadienine-C18-1-Phosphate Uncovers Common Preanalytical Errors During Handling of Whole Blood. Clin Chem 2018; 64:810-819. [PMID: 29567661 DOI: 10.1373/clinchem.2017.277905] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Accepted: 02/05/2018] [Indexed: 01/08/2023]
Abstract
BACKGROUND Nonadherence to standard operating procedures (SOPs) during handling and processing of whole blood is one of the most frequent causes affecting the quality of serum and plasma. Yet, the quality of blood samples is of the utmost importance for reliable, conclusive research findings, valid diagnostics, and appropriate therapeutic decisions. METHODS UHPLC-MS-driven nontargeted metabolomics was applied to identify biomarkers that reflected time to processing of blood samples, and a targeted UHPLC-MS analysis was used to quantify and validate these biomarkers. RESULTS We found that (4E,14Z)-sphingadienine-C18-1-phosphate (S1P-d18:2) was suitable for the reliable assessment of the pronounced changes in the quality of serum and plasma caused by errors in the phase between collection and centrifugation of whole blood samples. We rigorously validated S1P-d18:2, which included the use of practicality tests on >1400 randomly selected serum and plasma samples that were originally collected during single- and multicenter trials and then stored in 11 biobanks in 3 countries. Neither life-threatening disease states nor strenuous metabolic challenges (i.e., high-intensity exercise) affected the concentration of S1P-d18:2. Cutoff values for sample assessment were defined (plasma, ≤0.085 μg/mL; serum, ≤0.154 μg/mL). CONCLUSIONS Unbiased valid monitoring to check for adherence to SOP-dictated time for processing to plasma or serum and/or time to storage of whole blood at 4 °C is now feasible. This novel quality assessment step could enable scientists to uncover common preanalytical errors, allowing for identification of serum and plasma samples that should be excluded from certain investigations. It should also allow control of samples before long-term storage in biobanks.
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Affiliation(s)
- Xinyu Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Miriam Hoene
- Division of Clinical Chemistry and Pathobiochemistry (Central Laboratory), University Hospital Tübingen, Tübingen, Germany
| | - Peiyuan Yin
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
| | - Louise Fritsche
- Core Facility German Center for Diabetes Research (DZD) Clinical Chemistry Laboratory, Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD), Tübingen, Germany
| | - Peter Plomgaard
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen, Denmark.,Center of Inflammation and Metabolism and Center for Physical Activity Research, Department of Infectious Diseases and Copenhagen Muscle Research Center (CMRC), Rigshospitalet, Copenhagen, Denmark
| | - Jakob S Hansen
- Center of Inflammation and Metabolism and Center for Physical Activity Research, Department of Infectious Diseases and Copenhagen Muscle Research Center (CMRC), Rigshospitalet, Copenhagen, Denmark
| | - Christos T Nakas
- University Institute of Clinical Chemistry, Center of Laboratory Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.,Laboratory of Biometry, University of Thessaly, Volos, Greece
| | - Andreas M Niess
- Department of Sports Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Jens Hudemann
- Department of Sports Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Michael Haap
- Department of Internal Medicine, Medical Intensive Care Unit, University of Tübingen, Tübingen, Germany
| | - Maimuna Mendy
- Laboratory Services and Biobank Group, International Agency for Research on Cancer (IARC) of the World Health Organization (WHO), Lyon, France
| | - Cora Weigert
- Division of Clinical Chemistry and Pathobiochemistry (Central Laboratory), University Hospital Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD), Tübingen, Germany
| | - Xiaolin Wang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
| | - Andreas Fritsche
- Division of Clinical Chemistry and Pathobiochemistry (Central Laboratory), University Hospital Tübingen, Tübingen, Germany.,Core Facility German Center for Diabetes Research (DZD) Clinical Chemistry Laboratory, Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD), Tübingen, Germany
| | - Andreas Peter
- Division of Clinical Chemistry and Pathobiochemistry (Central Laboratory), University Hospital Tübingen, Tübingen, Germany.,Core Facility German Center for Diabetes Research (DZD) Clinical Chemistry Laboratory, Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD), Tübingen, Germany
| | - Hans-Ulrich Häring
- Division of Clinical Chemistry and Pathobiochemistry (Central Laboratory), University Hospital Tübingen, Tübingen, Germany.,Core Facility German Center for Diabetes Research (DZD) Clinical Chemistry Laboratory, Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD), Tübingen, Germany
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China;
| | - Rainer Lehmann
- Division of Clinical Chemistry and Pathobiochemistry (Central Laboratory), University Hospital Tübingen, Tübingen, Germany; .,Core Facility German Center for Diabetes Research (DZD) Clinical Chemistry Laboratory, Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD), Tübingen, Germany
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Diversity and inclusion in genomic research: why the uneven progress? J Community Genet 2017; 8:255-266. [PMID: 28770442 PMCID: PMC5614884 DOI: 10.1007/s12687-017-0316-6] [Citation(s) in RCA: 170] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 06/29/2017] [Indexed: 12/15/2022] Open
Abstract
Conducting genomic research in diverse populations has led to numerous advances in our understanding of human history, biology, and health disparities, in addition to discoveries of vital clinical significance. Conducting genomic research in diverse populations is also important in ensuring that the genomic revolution does not exacerbate health disparities by facilitating discoveries that will disproportionately benefit well-represented populations. Despite the general agreement on the need for genomic research in diverse populations in terms of equity and scientific progress, genomic research remains largely focused on populations of European descent. In this article, we describe the rationale for conducting genomic research in diverse populations by reviewing examples of advances facilitated by their inclusion. We also explore some of the factors that perpetuate the disproportionate attention on well-represented populations. Finally, we discuss ongoing efforts to ameliorate this continuing bias. Collaborative and intensive efforts at all levels of research, from the funding of studies to the publication of their findings, will be necessary to ensure that genomic research does not conserve historical inequalities or curtail the contribution that genomics could make to the health of all humanity.
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Li H, Ni M, Wang P, Wang X. A Survey of the Current Situation of Clinical Biobanks in China. Biopreserv Biobank 2017; 15:248-252. [PMID: 28080144 DOI: 10.1089/bio.2016.0095] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
The development of biomedical research urgently needs the support of a large number of high-quality clinical biospecimens. Therefore, human biobanks at different levels have been established successively in China and other countries at a significantly increasing pace in recent years. To better understand the general current state of clinical biobanks in China, we surveyed 42 clinical biobanks based in hospitals and collected information involving their management systems, sharing mechanisms, quality control systems, and informational management systems using closed questionnaire methods. Based on our current information, there has not been such a large-scale survey in China. An understanding of the status and challenges current clinical biobanks face will provide valuable insights for the construction and sustainable development of higher quality clinical biobanks.
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Affiliation(s)
- Haiyan Li
- 1 School of Health Management and Education, Capital Medical University , Beijing, China .,2 Department of Science and Technology, Capital Medical University , Beijing, China .,3 Beijing Biobank of Clinical Resources , Beijing, China
| | - Mingyu Ni
- 2 Department of Science and Technology, Capital Medical University , Beijing, China .,3 Beijing Biobank of Clinical Resources , Beijing, China
| | - Peng Wang
- 3 Beijing Biobank of Clinical Resources , Beijing, China .,4 Beijing Institute for Brain Disorders , Beijing, China
| | - Xiaomin Wang
- 1 School of Health Management and Education, Capital Medical University , Beijing, China .,3 Beijing Biobank of Clinical Resources , Beijing, China .,4 Beijing Institute for Brain Disorders , Beijing, China
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12
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Lee S, Jung PE, Lee Y. Publicly-funded biobanks and networks in East Asia. SPRINGERPLUS 2016; 5:1080. [PMID: 27462528 PMCID: PMC4945521 DOI: 10.1186/s40064-016-2723-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Accepted: 06/30/2016] [Indexed: 11/30/2022]
Abstract
With the enactment of the Nagoya Protocol, international competitions to secure biological resources are intensifying. Biobanking is one of the many attempts to preserve biological resources and their information for the use in future research and development. Asian countries, especially China, Japan, and Korea are very active in biobanking activities under the strategic plans coordinated by their governments. They also proactively established networks for biobanks of Asia to facilitate resource and expertise sharing. Biobanks of these countries should furthermore standardize operating procedures and diversify funding sources for establishing stable operation systems.
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Affiliation(s)
- Sunhee Lee
- Korea National Research Resource Center (KNRRC), #324, Golden 50 Commemoration Hall, Seoul Women's University, 621 Hwarang-ro, Nowon-gu, Seoul, 01797 Korea
| | - Paul Eunil Jung
- Korea National Research Resource Center (KNRRC), #324, Golden 50 Commemoration Hall, Seoul Women's University, 621 Hwarang-ro, Nowon-gu, Seoul, 01797 Korea
| | - Yeonhee Lee
- Korea National Research Resource Center (KNRRC), #324, Golden 50 Commemoration Hall, Seoul Women's University, 621 Hwarang-ro, Nowon-gu, Seoul, 01797 Korea ; Department of Horticulture, Biotechnology and Landscape Architecture, Seoul Women's University, 621 Hwarang-ro, Nowon-gu, Seoul, 01797 Korea
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