Cannabis Use and its Medical Risks and Benefits: Leveraging Mobile Technology and Consumer Genomics

大麻的使用及其医疗风险和益处：利用移动技术和消费者基因组学

• 批准号: 9899238
• 负责人: NANCY L SACCONE
• 金额: $ 19.67万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-04-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9899238
• 关键词: Addictive Behavior; Address; Adult; Affect; Age; Alcohol dependence; Alcohol or Other Drugs use; Alcohols; Behavior; Benefits and Risks; Biological; Biological Factors; Cannabis; Clinical; Cohort Studies; Complement; Consent; Data; Databases; Development; Electronic Mail; Frequencies; Future; Genetic; Genetic Research; Genetic study; Genomics; Genotype; Goals; Human Genetics; Individual; Informed Consent; Internet; Knowledge; Legal; Medical; Mental disorders; Metadata; Methods; National Institute of Drug Abuse; Nicotine; Nicotine Dependence; Other Genetics; Paranoia; Participant; Phenotype; Population; Prevalence; Prize; Protocols documentation; Public Health; Reporting; Research; Research Personnel; Resources; Respondent; Sampling; Secure; Substance of Abuse; TIE gene; Testing; Thinking; Time; Translating; Treatment Efficacy; United States; Work; addiction; alcohol risk; base; citizen science; clinically relevant; cohort; cost; genetic predictors; genetic testing; genome wide association study; genome-wide; genomic data; genomic locus; handheld mobile device; innovation; insight; interest; marijuana use; mobile application; mobile computing; novel; pain relief; phenotypic data; programs; prototype; recruit; secondary analysis; sex; smartphone Application; social media; tool; trait; trend; web site

ABSTRACT This R21 project implements an innovative online/mobile recruitment and assessment strategy and applies it to identify genetic factors that influence cannabis use and related medical risks and benefits. Too often, recruiting and developing sufficiently large cohorts for human genetic studies has been slow and expensive. Our approach will greatly reduce time and costs by recruiting already-genotyped consumer genomics customers and electronically assessing their substance use via mobile devices and the internet. The proposed work builds on our prototype Genomics of Addiction (GENA) mobile app that earned third prize in the 2016 NIDA Challenge “Addiction Research: There's an App for That” (https://www.drugabuse.gov/researchers/research- resources/nida-challenges-program). Specifically, to identify loci involved in cannabis use and related medical risks and benefits, we will: (1) Finalize and implement our “direct-to-participant” interface, which allows participants to use our mobile app and website to provide informed consent, answers to cannabis use questions, and secure access to their existing genome-wide genotype data; (2) Recruit and electronically assess a large, well-powered cohort for a genome-wide association study (GWAS) of cannabis use traits important to public health; (3) Analyze our new GWAS cohort to identify loci associated with medically relevant cannabis use traits and quantitative frequency of use. Our novel, direct-to-participant protocol will immediately address a high-priority substance, cannabis, and establish a platform for responding to emerging research needs in the substance use field.

抽象的 R21项目实施了创新的在线/移动招聘和评估策略，并将其应用于 识别影响大麻使用以及相关医疗风险和益处的遗传因素。 为人类遗传学研究开发足够大的队列既缓慢又昂贵。 该方法将通过招募已经进行基因分型的消费者基因组客户来大大减少时间和成本 并通过移动设备和互联网以电子方式评估他们的物质使用情况。 我们的原型 Genomics of Addiction (GENA) 移动应用程序在 2016 年 NIDA 中荣获三等奖 挑战“成瘾研究：有一个应用程序”（https://www.drugabuse.gov/researchers/research- 具体来说，是为了确定涉及大麻使用和相关医疗的基因座。 风险和收益，我们将： (1) 最终确定并实施我们的“直接面向参与者”界面，该界面允许 参与者使用我们的移动应用程序和网站提供知情同意、大麻使用问题的答案 (2) 招聘和电子化 评估一个大型、功能强大的队列，进行大麻使用特征的全基因组关联研究 (GWAS) 对公共卫生很重要；(3) 分析我们的新 GWAS 队列以确定与医学相关的位点 我们新颖的、直接面向参与者的协议将立即确定大麻的使用特征和定量使用频率。 解决高度优先物质大麻问题，并建立一个应对新兴研究的平台 物质使用领域的需求。