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 在最初的资助期间，ABCD财团使用严格的流行病学方法招募了一个多样化的 通过我们的21个研究地点，对11，878名9至10岁的儿童进行了抽样调查，其中2，136名是双胞胎或三胞胎。专家 工作组（WG）设计的协议使用成熟的方法来评估，扫描和维护这个队列， 较高的保留率。该研究补充了经过充分验证的标准化评估， 在自然环境中无线收集的客观数据，以安全地捕捉青年行为指数。 这些技术增加了测量精度，生态有效性，并有机会揭示以前 行为，生理和环境因素在发育和波动中的未知影响， 物质使用、屏幕媒体使用、精神和身体健康问题、大脑发育及其动态 关系。生物测定（例如，来自毛发、脱落的牙齿、血液和口腔液）提供全基因组基因分型， 青春期激素，对滥用物质和环境毒素接触的更精确估计，以及 最终对相关的表观遗传效应进行更全面的评估。最先进的协调方法 用于MRI和其他数据，使各站点之间的数据无缝集成到一个宝贵的开放科学数据库中 在数据收集的一年之内就可以提供给更大的科学界。协调 中心（CC）达到了以前的所有目标，这里描述了它将如何实现一套调整后的目标， 下一个7年。具体来说，我们描述了一个灵活的组织框架，为管理的研究 这在很大程度上依赖于跨学科的知识和专家评估的广泛研究经验 工作组和战略规划小组，以及CC、数据分析、信息学和 资源中心（DAIRC）和NIH协调内部和外部沟通;支持和整合 制定和修订工作组执行的方案和数据质量审查;建立、监测和 维持联盟各研究中心研究方案的标准化;衡量和审查研究进展 实现保留、数据质量和科学影响的目标;基于这些指标，采取支持性和 采取纠正措施，确保实现目标;管理生物伦理政策和与 单一IRB（sIRB）;促进不同初级研究者的专业发展;建立 解决CC内部或更广泛联盟内部冲突的框架;并负责任地解决任何 非预期的科学、方法、后勤或伦理挑战，以确保研究实现其 总体目标。我们还描述了CC和DAIRC将如何共同实施质量控制 提高所有数据类型的数据质量的程序; NIMH数据档案;管理一个管道，以加强与新的评估技术的研究;和 促进对ABCD数据的严格分析，为使用这种强大但复杂的 具有挑战性的高维度研究。