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 这个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 确定影响大麻使用以及相关医疗风险和收益的遗传因素。经常招募 并且为人类遗传研究提供足够大的队列的发展缓慢而昂贵。我们的 通过招募已经制定的消费者基因组客户，方法将大大降低时间和成本 并通过移动设备和Internet进行电子方式评估其物质使用。拟议的工作建立 关于我们的原型成瘾基因组（GENA）移动应用程序，该应用在2016年NIDA中获得三等奖 挑战“成瘾研究：有一个应用程序”（https://www.drugabuse.gov/researchers/research-- 资源/NIDA-CHALLENGES编程）。特别是为了确定参与大麻使用及相关医疗的语言环境 风险和福利，我们将：（1）最终确定并实施我们的“直接参与者”界面，该界面允许 参与者使用我们的移动应用和网站提供知情同意，大麻使用的答案 问题，并确保访问其现有的全基因组基因型数据； （2）招募和电子 评估一个大型，全基因组关联研究（GWAS）的大麻使用性状的同类队列 对公共卫生很重要； （3）分析我们的新GWAS队列，以识别与医学相关的地方 大麻使用性状和使用的定量频率。我们的小说直接参与的协议将立即 解决高优先级物质，大麻，并建立一个响应新兴研究的平台 物质使用字段中的需求。