A decentralized macro and micro gene-by-environment interaction analysis of substance use behavior and its brain biomarkers

物质使用行为及其大脑生物标志物的分散宏观和微观基因与环境相互作用分析

基本信息

批准号：
10443779
负责人：
VINCE D CALHOUN
金额：
$ 54.27万
依托单位：
GEORGIA STATE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-15 至 2024-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10443779
关键词：
Address Adolescence Adolescent Age Anxiety Behavior Behavioral Behavioral Genetics Biological Markers Brain Brain imaging Brain scan China Climate Communities Complex Computer software Consumption Country Data Data Analyses Data Protection Decentralization Development Disease Dropout Economic Burden Environment Environmental Risk Factor Epidemiology Ethnic group Europe Family Study Genes Genetic Genomics Genotype Heritability Household Image Income India Individual Informatics International Intervention Learning Legal Magnetic Resonance Imaging Measures Mental Depression Modeling Movement Neurobiology Neurons Neurosciences Outcome Participant Physiological Population Population Density Privacy Quality Control Race Regulation Risk Scanning Site Smoking Smoking Behavior Source Code Structure System Time Twin Studies Update Urbanization Visualization Work adolescent substance use base cloud based cognitive development cohort computerized tools cost data access data exchange drinking drinking behavior early life stress epidemiologic data gene environment interaction genomic data human subject imaging genetics insight neuroimaging open data open source peer prevent psychiatric symptom relating to nervous system rural area sex statistics substance use tool tool development urban area virtual

项目摘要

Project Summary/Abstract Substance use behavior (smoking/drinking) is well known to be the result of a complex interplay between genetics and environmental components. However macro- and micro-environmental effects on smoking and drinking behavior are still poorly understood and there is little work evaluating the relationship of such factors to neurobiological changes measured via brain imaging. The data are available though. There is a great amount of internationally collected imaging and genomics data, however much of this data is not being analyzed due to privacy issues or other factors which prevent sharing of the raw data. To address this barrier, we propose to leverage and extend a software platform which enables decentralized analysis of data (e.g. sharing without sharing). We will use this platform to perform an analysis which pools together data from the 10,000 participant longitudinal US-based adolescent brain cognitive development (ABCD) study with an international cohort of more than 20,000 participants from Europe, China, and India called the global imaging genetics of adolescents (GIGA). Our focus will be on assessing macro- and micro-environmental and heritability factors associated with sub- stance use behavior as well as their neuronal biomarkers in the context of factors such as cultural acceptance, urbanization, annual household income, and climate. Results will provide new insights into the factors contrib- uting to substance use behavior. We also propose to develop a persistent decentralized analysis nodes for the GIGA sites using our Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation (COINSTAC) to allow for re-analyses of these large cohorts as well as pooling with one’s local data without requiring collocation of the data at the same site. 3

项目摘要/摘要众所周知，药物使用行为（吸烟/饮酒）是彼此之间复杂相互作用的结果遗传学和环境成分。但是宏观和微环境对吸烟和饮酒行为仍然很了解，几乎没有工作来评估这些因素与神经生物学的变化通过脑成像测量。数据可用。有很多国际收集的成像和基因组学数据，但是由于隐私问题或其他因素，以阻止共享原始数据。为了解决这个障碍，我们建议利用并扩展了一个软件平台，该平台可以分散数据分析（例如，共享分享）。我们将使用此平台进行分析，将10,000名参与者的数据汇总在一起总部位于美国纵向的青少年大脑认知发展（ABCD）研究，国际队列更多来自欧洲，中国和印度的20,000名参与者称为青少年的全球成像遗传学（GIGA）。我们的重点将放在评估宏观和微观环境以及与亚的遗传因素和遗传因素上在文化接受等因素的背景下，立场使用行为以及其神经元生物标志物城市化，年收入和气候。结果将为因素提供新的见解 - 到吸毒行为。我们还建议开发一个持续的分散分析节点 GIGA网站使用我们的协作信息学和神经成像套件工具包用于匿名计算（COINSTAC）允许重新分析这些大型队列，并汇集不在本地数据的情况下需要在同一站点上搭配数据。 3