Core D: Biomarkers and Biobanking Core

核心 D：生物标志物和生物样本库核心

• 批准号: 10188354
• 负责人: Michele Michele Ramsay
• 金额: $ 6.01万
• 依托单位: HARVARD SCHOOL OF PUBLIC HEALTH
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10188354
• 关键词: Africa; African; Age; Aging; Biological Assay; Biological Markers; Biological Sciences; Blood; Blood Vessels; Body Composition; Cardiometabolic Disease; Collaborations; Collection; Communities; Community Health; Confounding Factors (Epidemiology); DNA; Data; Data Analyses; Data Storage and Retrieval; Decision Making; Disease; Ensure; Environment; Epigenetic Process; Ethics; Famines; Funding; Future; Generations; Genes; Genetic; Genetic Markers; Genetic Predisposition to Disease; Genetic Risk; Genetic Variation; Genetic study; Genomics; Genotype; Goals; HIV; HIV Infections; Health; Heredity; Human; Individual; Inflammation; Infrastructure; Institutes; International; Investigation; Knowledge; Length; Life Style; Longitudinal Studies; Measurement; Measures; Metabolic; Methylation; Modernization; Molecular; Participant; Population; Population Study; Procedures; Process; Quality Control; Research; Research Personnel; Resources; SNP genotyping; Sampling; Secure; Shipping; South Africa; Structure; Testing; Time; Universities; Urine; base; biobank; cognitive function; cohort; comparative genomics; data management; disease phenotype; disorder risk; experience; gene environment interaction; genetic variant; genome wide association study; genome-wide; genomic data; health application; health care availability; health data; next generation sequencing; novel marker; phenotypic data; population stratification; programs; sample collection; specific biomarkers; telomere; trait

Core D: Biomarkers and Biobanking Core—Abstract The Health and Aging in Africa: Longitudinal Studies of an INDEPTH Community (HAALSI) Program Biomarkers and Biobanking Core (Core D) will be critical to achieving the goals of all five projects and for enabling both internal and external collaboration that can extend over a long period of time and across a broad research network. Biobanking research has become a cornerstone of modern population-based study approaches to ensure that maximum benefit is derived from existing resources and collected data and samples and to enhance knowledge generation and discovery potential.1, 2 Biomarker measurement and assessment is an objective measure of parameters that provide information on the state of health of an individual at the time of collection as well as on their inherent genetic risk or predisposition for specific traits or diseases. Longitudinal biomarker measurements planned for the HAALSI study will allow the tracking of changes in various biomarkers with increasing age and with a changing environment, for example, in the context of high rates of HIV infection, famine, lifestyle changes, and greater access to health care. Through collaboration with the African Wits-INDEPTH Partnership for the Genomic Study of Body Composition and Cardiometabolic Disease Risk (AWI-Gen) Collaborative Center,3 which is part of the Human Heredity & Health in Africa (H3Africa) Consortium,4 we will have access to genome-wide data on genetic variation that can be analyzed in the context of the phenotypic data we will be collecting in the HAALSI Program. The depth of information will make it possible to assess potential population stratification and to build in corrective measures to circumvent population sub-structure as a confounding variable in comparative genomic studies. The expertise of the Core D leaders and its collaborating investigators will ensure appropriate and extensive blood and urine biomarker analysis and genomic investigations (including telomere length and epigenetic DNA methylation analysis), as well as data analysis and interpretation. The paucity of health biomarker data from African populations5-8 makes the proposed HAALSI Biobank and its biomarker testing capacity an extremely valuable resource, not only for the study of the substantive HAALSI cohort of 5,059 participants, but also for future research investigations. Its value, however, can only be secured through good governance practices for biobanking and biomarker measurement and data storage and management.

核心D：生物标志物和生物库核心 - 取消 非洲的健康与衰老：深入社区（HAALSI）计划的纵向研究 生物标志物和生物库核心（核心D）对于实现所有五个项目的目标以及对 实现内部和外部协作，可以在很长一段时间内延伸 研究网络。生物库研究已成为现代人群研究的基石 方法以确保从现有资源和收集的数据和样本中获得最大收益 1，2生物标志物测量和评估是 对参数的客观测量，这些参数当时提供有关个人健康状况的信息 收集及其继承的特定特征或疾病的遗传风险或倾向。 为Haalsi研究计划的纵向生物标志物测量结果将允许跟踪变化 各种生物标志物随着年龄的增长和环境变化而变化，例如在较高的情况下 艾滋病毒感染，饥荒，生活方式改变和更多获得医疗保健的率。通过与之合作 非洲机智 - 建立伙伴关系，用于身体成分和心脏代谢的基因组研究 疾病风险（AWI-GEN）协作中心，3是非洲人类遗传与健康的一部分 （H3africa）财团，4我们将可以访问有关遗传变异的全基因组数据，可以在 我们将在Haalsi计划中收集的表型数据的上下文。信息深度将 使评估潜在的人口分层并建立正确的措施以规避的可能性成为可能 在比较基因组研究中，种群子结构作为混杂变量。核心的专业知识 D领导者及其合作调查人员将确保适当，广泛的血液和尿液生物标志物 分析和基因组研究（包括端粒长度和表观遗传学DNA甲基化分析），AS 以及数据分析和解释。非洲人口的健康生物标志物数据很少5-8 使拟议的Haalsi Biobank及其生物标志物测试能力成为极为宝贵的资源，而不是 仅用于研究5,059名参与者的实质性Haalsi队列，还用于未来的研究 调查。但是，它的价值只能通过生物库的良好治理实践和 生物标志物测量以及数据存储和管理。