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

• 批准号: 9811339
• 负责人: VINCE D CALHOUN
• 金额: $ 55.17万
• 依托单位: GEORGIA STATE UNIVERSITY
• 依托单位国家: 美国
• 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/9811339
• 关键词: Address; Adolescence; Adolescent; Age; Alcohol or Other Drugs use; 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; Genes; Genetic; Genomics; Genotype; Heritability; Household; Image; Imagery; 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 Multiple Birth; Update; Urbanization; Work; adolescent substance use; base; cloud based; cognitive development; cohort; computerized tools; cost; data access; drinking; drinking behavior; early life stress; epidemiologic data; gene environment interaction; genetic profiling; genomic data; human subject; imaging genetics; insight; neuroimaging; open data; open source; peer; prevent; psychiatric symptom; relating to nervous system; rural area; sex; statistics; tool; tool development; urban area; virtual

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

项目总结/文摘