ABCD-USA Consortium: Coordinating Center

ABCD-美国联盟：协调中心

• 批准号: 9982004
• 负责人: SANDRA A BROWN
• 金额: $ 281.88万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-30 至 2027-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9982004
• 关键词: 10 year old; Address; Adolescent; Adolescent and Young Adult; Affect; Alcohol or Other Drugs use; Alcohols; Athletic Injuries; Behavior; Behavioral; Bioethics; Bioinformatics; Biological Assay; Blood; Brain; Caffeine; Child; Cognitive; Communication; Communities; Complement; Complex; Conflict (Psychology); Data; Data Analyses; Data Collection; Data Compromising; Data Set; Databases; Development; Emotional; Enrollment; Ensure; Environment; Environmental Risk Factor; Epidemiology; Epigenetic Process; Ethics; Exposure to; Funding; Genetic; Genotype; Goals; Hair; Hormones; Individual; Informatics; Institutional Review Boards; Knowledge; Leadership; Link; Liquid substance; Logistics; Magnetic Resonance Imaging; Marijuana; Measurement; Measures; Mental Health; Mental disorders; Methodology; Methods; Modeling; Monitor; National Institute of Mental Health; Neurocognition; Nicotine; Oral; Outcome; Parents; Participant; Physical activity; Physiological; Policies; Procedures; Process; Protocols documentation; Psychopathology; Publications; Quality Control; Research; Research Personnel; Research Project Grants; Resources; Role; Sampling; Scanning; Schedule; Secure; Security; Severities; Site; Site Visit; Sleep; Specific qualifier value; Standardization; Strategic Planning; Substance of Abuse; Technology; Technology Assessment; Time; Tooth structure; Toxic Environmental Substances; Triplet Multiple Birth; Twin Multiple Birth; United States National Institutes of Health; Visit; Wireless Technology; Work; Youth; base; behavioral health; cognitive development; cohort; data archive; data integration; data quality; data resource; data sharing; design; experience; flexibility; follow-up; gene interaction; genome-wide; high dimensionality; high risk; improved; indexing; mobile computing; multidimensional data; neuroimaging; novel; open data; physical conditioning; recruit; response; retention rate; tv watching

PROJECT SUMMARY In its initial funding period, the ABCD consortium used a rigorous epidemiological approach to recruit a diverse sample of 11,878 9- to 10-year-olds through our 21 research sites, of which 2,136 are twins or triplets. Expert workgroups (WGs) designed protocols using proven methods to assess, scan, and maintain this cohort with very high retention rates. The study complements well validated standardized assessments with novel real-time objective data collected wirelessly in the natural environment to securely capture indices of youth behaviors. These technologies add measurement precision, ecological validity, and an opportunity to reveal previously unknown effects of behavioral, physiological, and environmental factors in the development and fluctuation of substance use, screen media use, mental and physical health concerns, brain development, and their dynamic relationships. Bioassays (e.g., from hair, shed teeth, blood, and oral fluid) provide genome-wide genotyping, pubertal hormones, more precise estimates of exposures to substances of abuse and environmental toxins, and eventually more comprehensive estimates of relevant epigenetic effects. State-of-the-art harmonization methods for MRI and other data enable seamless data integration across sites into an invaluable open-science database that becomes available to the larger scientific community within a year of data collection. The Coordinating Center (CC) met all of its previous aims, and here describes how it will achieve an adjusted set of aims for the next 7 years. Specifically, we describe a flexible organizational framework created for management of the study that relies heavily on cross-disciplinary knowledge and extensive research experience of expert assessment WGs and strategic planning groups, and a dedicated team within the CC, Data Analysis, Informatics and Resource Center (DAIRC), and NIH to coordinate internal and external communications; support and integrate the development and revision of protocols and data quality reviews performed by WGs; establish, monitor, and maintain the standardization of study protocols across the consortium sites; measure and review study progress toward goals for retention, data quality, and scientific impact; based on these metrics, take supportive and corrective action to ensure that the goals are met; manage bioethics policies and consortium interactions with the single IRB (sIRB); promote the professional development of diverse junior investigators; establish a framework to resolve conflicts within the CC or within the wider consortium; and responsibly address any unanticipated scientific, methodological, logistical, or ethical challenges to ensure the study achieves its overarching objectives. We also describe how the CC and DAIRC will together implement quality control procedures to improve data quality across all data types; coordinate data sharing functions with the staff of the NIMH Data Archive; manage a pipeline for enhancing the study with novel assessment technologies; and facilitate rigorous analyses of ABCD data that set new standards for use of data from this powerful, but complex and challenging, high-dimensional study.

项目摘要 在最初的资金期间，ABCD财团使用严格的流行病学方法来招募多样化 通过我们的21个研究地点的11,878个9至10岁的孩子的样本，其中2,136个是双胞胎或三胞胎。专家 工作组（WGS）使用经过验证的方法设计协议来评估，扫描和维护该队列 高保留率。该研究通过新颖的实时进行了良好验证的标准化评估补充 在自然环境中无线收集的客观数据可牢固捕获青年行为的指标。 这些技术增加了测量精度，生态有效性以及以前揭示的机会 行为，生理和环境因素对发展和波动的不明影响 药物使用，屏幕媒体使用，身心健康问题，大脑发育及其动态 关系。生物测定（例如，牙齿，牙齿，血液和口服液）提供全基因组基因分型， 青春期激素，对滥用和环境毒素物质暴露的更精确估计，以及 最终对相关表观遗传效应的更全面估计。最先进的协调方法 对于MRI和其他数据，可以使跨站点的无缝数据集成到宝贵的开放科学数据库中 在数据收集的一年之内，较大的科学界就可以使用。协调 中心（CC）达到了所有以前的目标，此处描述了它将如何实现调整后的目标集 接下来的7年。具体来说，我们描述了为研究管理而创建的灵活的组织框架 这在很大程度上依赖跨学科知识和专家评估的广泛研究经验 WGS和战略计划小组，以及CC中的专门团队，数据分析，信息学和 资源中心（DAIRC）和NIH协调内部和外部通信；支持和集成 WGS执行的协议和数据质量评论的开发和修订；建立，监视和 维持整个财团地点的研究方案的标准化；衡量和审查研究进度 达到保留，数据质量和科学影响的目标；基于这些指标，请提供支持和 纠正措施以确保实现目标；管理生物伦理政策和财团互动 单个IRB（SIRB）；促进各种初级调查人员的专业发展；建立 解决CC内或更广泛的财团内的冲突的框架；并负责任地解决任何 意外的科学，方法论，后勤或道德挑战，以确保该研究实现其实现 总体目标。我们还描述了CC和DAIRC将如何共同实施质量控制 改善所有数据类型的数据质量的程序；协调数据共享功能与 NIMH数据存档；通过新颖的评估技术来管理一条可以增强研究的管道；和 促进对ABCD数据的严格分析，该数据设置了新的标准，用于使用此功能强大但复杂的数据 以及具有挑战性的高维研究。