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ECHO DAC (Environmental Influences on Child Health Outcomes Data Analysis Center)

ECHO DAC（环境对儿童健康结果的影响数据分析中心）

基本信息

批准号：
10744448
负责人：
Diane J Catellier
金额：
$ 1450万
依托单位：
JOHNS HOPKINS UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-09-21 至 2030-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10744448
关键词：
Acceleration Accountability Address Adoption Affect Attention Biometry Characteristics Child Development Child Health Childhood Cohort Studies Collaborations Collection Communication Communities Complex Data Data Analyses Data Collection Data Science Dedications Development Disparate Ensure Environment Environmental Exposure Environmental Health Epidemiology Epigenetic Process FAIR principles Familiarity Family Fostering Generations Genetic Genetic Predisposition to Disease Geography Health Individual Informatics Information Systems Infrastructure Institution International Investigation Knowledge Leadership Life Cycle Stages Link Measures Metadata Methodology Methods Mission Outcome Outcomes Research Participant Pediatric Research Philosophy Population Principal Investigator Productivity Protocols documentation Publications Reporting Reproducibility Research Research Design Research Infrastructure Research Methodology Research Personnel Research Proposals Resources Role Science Scientist Secure Site Specific qualifier value Structure Surveys System Translating United States National Institutes of Health Universities Visualization adverse outcome analytical method cohort data ecosystem data framework data integration data management data quality data sharing data standards database structure design epidemiology study equity, diversity, and inclusion experience flexibility innovation longitudinal analysis method development multilevel analysis next generation novel programs social statistics success support tools synergism tool tool development

项目摘要

The complementary expertise and resources of Johns Hopkins University and RTI International are combined as the NIH Environmental Influences on Child Health Outcomes (ECHO) Cohort Study Data Analysis Center (DAC). A DAC with expertise in informatics, epidemiology and biostatistics is essential for effective longitudinal and multi-level analyses to elucidate the influences of life course environmental and social exposures, and genetic susceptibility on pediatric health and adverse outcomes, with attention to solution-oriented research. System enhancements, a secured computing environment, and experience with on-boarding sites will facilitate an efficient, and effective transition from the first cycle (ECHO1) into the next cycle (ECHO2). DAC’s familiarity with existing ECHO sites and data enables continued productivity concurrent with implementation of ECHO2. DAC uniquely offers deep experience in developing innovative methods for analyzing data combined from disparate sites, as evidenced in ECHO1. DAC will broaden access and useability of ECHO Cohort data to the scientific community. To help drive the next generation science in pediatric research, expertise in epidemiology, statistics, informatics, pediatric outcomes, environmental exposures, and genetics is synergized to realize these specific aims: 1) Provide a secure, uniform and flexible central framework for data capture and storage and tracking of biospecimens, and to ensure high data quality and fidelity; 2) Provide statistical and epidemiological expertise in the design, analysis, and interpretation of research proposals, develop innovative and novel analytical methods where needed, and conduct analyses under direction of relevant content area scientists to enhance the scientific rigor and reproducibility of ECHO products; 3) Enhance research infrastructure, integrate data standards to support findable, accessible, interoperable, and reusable (FAIR) principles to accelerate data sharing; 4) Use an organizational, reporting, and accountability structure for optimal internal governance of the DAC and interaction with other components of the ECHO Cohort Study that will enhance transparency, accountability, and clear communication. The proposed enhancements, tools, and methods development for collecting, combining, and analyzing individual, geographic, family, and social data will be key in making ECHO the premier resource for impactful epidemiological studies of pediatric health.

约翰霍普金斯大学和RTI国际的互补专业知识和资源相结合美国国立卫生研究院（NIH）环境对儿童健康结果的影响（ECHO）队列研究数据分析中心（发援会）。一个具有信息学、流行病学和生物统计学专门知识的发援会对于有效的纵向监测至关重要。和多层次分析，以阐明生命过程中环境和社会暴露的影响，遗传易感性对儿科健康和不良后果的影响，并注意以解决方案为导向的研究。系统增强、安全的计算环境和入职网站的经验将有助于从第一周期（ECHO 1）到下一周期（ECHO 2）的高效且有效的过渡。DAC的熟悉度与现有的ECHO站点和数据相结合，可在实施ECHO 2的同时实现持续的生产力。 DAC在开发创新方法分析数据方面拥有丰富的经验，不同的站点，如ECHO 1所示。DAC将扩大ECHO队列数据的访问和使用范围，科学界。为了帮助推动儿科研究的下一代科学，流行病学、统计学、信息学、儿科结果、环境暴露和遗传学是协同作用的实现这些具体目标：1）为数据采集提供一个安全、统一和灵活的中央框架，生物样本的存储和跟踪，并确保高数据质量和保真度; 2）提供统计和流行病学专业知识的设计，分析和研究建议的解释，开发创新和新的分析方法，并在相关内容领域的指导下进行分析科学家提高ECHO产品的科学严谨性和可重复性; 3）加强研究基础设施，集成数据标准以支持可查找、可访问、可互操作和可重用（FAIR）加速数据共享的原则; 4）使用组织，报告和问责制结构， DAC的最佳内部治理以及与ECHO队列研究其他组成部分的互动，将加强透明度、问责制和清晰的沟通。建议的增强功能、工具和用于收集、组合和分析个人、地理、家庭和社会数据的方法开发将是使ECHO成为儿科健康有影响力的流行病学研究的首要资源的关键。

项目成果

期刊论文数量（8）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Ogburn et al. Respond to "Estimation and Bounds Under Data Fusion".

奥格本等人。

DOI：
10.1093/aje/kwab195
发表时间：
2022
期刊：
American journal of epidemiology
影响因子：
5
作者：
Ogburn,ElizabethL;Rudolph,KaraE;Morello-Frosch,Rachel;Khan,Amber;Casey,JoanA
通讯作者：
Casey,JoanA

A powerful method for pleiotropic analysis under composite null hypothesis identifies novel shared loci between Type 2 Diabetes and Prostate Cancer.

复合零假设下的多效分析的一种强大方法确定了2型糖尿病和前列腺癌之间的新型基因座。