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-摘要 非洲的健康与老龄化：INDEPTH社区(HAALSI)计划的纵向研究 生物标志物和生物库核心(核心D)将是实现所有五个项目和 实现内部和外部协作，这种协作可以在很长一段时间内、在广泛的 研究网络。生物库研究已成为现代人口研究的基石 确保从现有资源和收集的数据和样本中获得最大利益的方法 并增强知识生成和发现的潜力。1、2生物标志物的测量和评估是 提供有关个人当时健康状态信息的参数的客观测量 它们的遗传风险或对特定特征或疾病的易感性。 HAALSI研究计划的纵向生物标记物测量将允许跟踪 随着年龄的增长和环境的变化而变化的各种生物标志物，例如在高 艾滋病毒感染率、饥荒、生活方式改变和更多获得医疗保健的机会。通过与 非洲Wits-INDEPTH人体成分和心脏代谢基因组研究伙伴关系 疾病风险(AWI-GEN)合作中心，3是非洲人类遗传与健康的一部分 (H3非洲)联盟，4我们将获得全基因组范围的遗传变异数据，这些数据可以在 我们将在HAALSI计划中收集的表型数据的背景。信息的深度将会 使评估潜在的人口分层成为可能，并建立纠正措施以规避 种群亚结构在比较基因组研究中的混杂变量。核心的专业知识 D领导者及其合作的调查人员将确保适当和广泛的血液和尿液生物标记物 分析和基因组研究(包括端粒长度和表观DNA甲基化分析)，AS 以及数据分析和解释。非洲人口健康生物标志物数据的匮乏5-8 使拟议的HAALSI生物库及其生物标志物测试能力成为极其宝贵的资源，而不是 仅用于对5,059名参与者的实质性HAALSI队列的研究，也用于未来的研究 调查。然而，它的价值只能通过生物库和生物银行的良好治理做法来确保。 生物标志物测量及数据存储和管理。