Enriching Alcoholism Cohort and Population Studies

丰富酗酒队列和人口研究

• 批准号: 9338111
• 负责人: ANDREW C. HEATH
• 金额: $ 58.94万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9338111
• 关键词: ARHGEF5 gene; Address; Adolescent; Affect; Age; Alcohol consumption; Alcohol dependence; Alcoholism; Alcohols; Algorithms; Area; Autopsy; Behavioral; Big Data; Biomedical Research; Birth Records; Censuses; Child; Chronic; Clinical; Cohort Studies; Communities; Cost Sharing; DNA Methylation; Data; Data Analyses; Data Collection; Data Set; Databases; Disease; Disease remission; Drunk driving; Environment; Environmental Risk Factor; Epidemiologist; Etiology; Faculty; Family; Family Research; Family Study; Fostering; Funding; Future; Gene Expression; Genetic; Genome; Genomics; Goals; Human; Individual; Institution; Joints; Licensing; Link; Marriage; Measures; Medical; Mental Health; Minority; Modeling; Monoclonal Antibody R24; National Institute on Alcohol Abuse and Alcoholism; Neighborhoods; Neuropsychology; Neurosciences; Obesity; Outcome; Outcome Study; Overweight; Parents; Participant; Pharmaceutical Preparations; Phenotype; Physiological; Population Study; Pregnancy; Probability; Process; Prospective cohort; Recording of previous events; Records; Recurrence; Reporting; Research; Research Design; Research Personnel; Research Project Grants; Resource Development; Resource Sharing; Resources; Risk; Risk Behaviors; Risk Factors; Role; Sampling; Schools; Scientist; Secure; Security; Sexual abuse; Siblings; Single Parent; Smoking; Source; Structure; Suicide attempt; Systematic Bias; Teenagers; Testing; Time; Tissues; Tobacco; Tobacco use; Twin Multiple Birth; Vision; Work; addiction; alcohol misuse; alcohol research; alcohol use disorder; biomedical scientist; career; child physical abuse; cohort; college; connectome; convict; crosslink; data sharing; design; early alcohol use; early onset; family structure; high risk; illicit drug use; improved; indexing; innovation; male; neuroimaging; next generation; novel; offspring; open data; parental alcoholism; problem drinker; prospective; psychosocial; public health relevance; research study; sex; social; socioeconomics; teenage mother; web site

 DESCRIPTION (provided by applicant): This R24 application seeks to upgrade and further develop a resource (Family Research Center: FRC) that supports alcohol-related research by investigators at multiple institutions, generating data that can be widely utilized and should help foster larger-scale collaborative data analyses, and novel data collection and data- sharing (`Open Science') initiatives. Historically, utilizing state vital (e.g. birth) record data, the resurce has enabled implementation of a wide range of cohort studies, using varied sampling designs, leading to over 60 funded research projects (including secondary data-analyses; biomedical/translational projects) by 24 faculty (including many early career) investigators. We seek to extend this resource, generating the capacity to further link and jointly analyze relevant state and research data, and through illustrative analyses utilizing the resource, to improve prediction models for early-onset alcohol use, transitions in alcohol use, and alcohol- related outcomes (e.g. to model neighborhood effects and their interplay with family and individual including genetic factors); and in turn to use research data and derived prediction models to inform interpretation of state data-bases and their limitations (e.g. accuracy and predictive utility), and identify areas where state data might be utilized to guide the design and implementation of future data-collections (e.g. for studies of risk- processes in families at high risks of future parental separation and later child early alcohol use). Because the structures of state data-bases are rather similar across states, the data-linking capabilities that we develop will be scalable, and can be made available to others, enabling integration of research study and state vital record or other data in a secure computing environment. Secondary data analyses, which will be used to prioritize programming and data-base linkage tasks, will also function as demonstration projects (DPs), to establish the utility of working across multiple cohort study and state data-bases. They will be organized around the themes of (i) interplay of parental alcoholism and parental separation effects and their relationship to early- onset alcohol use; (ii) interplay of neighborhood, school environment and family and individual factors in predicting transitions in alcohol use; (iii) generalizing outcomes to high-risk families identifiabe through parental recurrent drunk driving convictions. These efforts will be supplemented by (iv) work on the feasibility of matching designs (e.g. sibling) for next-generation human studies of alcoholism; (v) reconsenting for additional data-sharing, and modest additional data-collection, from research participants from the clinical neuroscience Human Connectome Project, most of whom derive from our existing cohort studies, to enable release of a broader array of alcohol-relevent variables to the research community, and guide our move to an `Open Science' model. We hope these efforts will also motivate alcohol researchers to come together in collaborative analyses of many rich existing data-sets of alcohol misuse in young people and parents, to leverage these data and analyses, and link and better inform interpretation and utilization of state data-bases.

 描述（由申请人提供）：此 R24 申请旨在升级和进一步开发资源（家庭研究中心：FRC），支持多个机构的研究人员进行与酒精相关的研究，生成可广泛使用的数据，并应有所帮助 促进更大规模的协作数据分析以及新颖的数据收集和数据共享（“开放科学”）举措。从历史上看，利用国家重要（例如出生）记录数据，资源得以利用不同的抽样设计实施广泛的队列研究，从而导致 24 名教员（包括许多早期职业）研究人员资助了 60 多个研究项目（包括二次数据分析；生物医学/转化项目）。我们寻求扩展这一资源，产生进一步联系和联合分析相关状态和研究数据的能力，并通过利用该资源的说明性分析，改进早发性饮酒、饮酒转变和酒精相关结果的预测模型（例如，模拟邻里效应及其与家庭和个人的相互作用，包括遗传因素）；反过来，利用研究数据和派生的预测模型来解释国家数据库及其局限性（例如准确性和预测效用），并确定可以利用国家数据来指导未来数据收集的设计和实施的领域（例如，研究未来父母分居和儿童早期酗酒高风险的家庭的风险过程）。由于各州的国家数据库的结构非常相似，因此我们开发的数据链接功能将是可扩展的，并且可以供其他人使用，从而能够在安全的计算环境中集成研究和国家重要记录或其他数据。二次数据分析将用于确定编程和数据库链接任务的优先级，也将充当示范项目（DP），以建立跨多个队列研究和状态数据库工作的效用。这些活动将围绕以下主题组织：(i) 父母酗酒和父母分居效应的相互作用及其与早发性饮酒的关系； (ii) 邻里、学校环境以及家庭和个人因素在预测酒精使用转变方面的相互作用； (iii) 将结果推广到通过父母经常醉酒驾驶定罪而确定的高风险家庭。这些努力将得到补充：(iv) 研究下一代酗酒人类研究的匹配设计（例如兄弟姐妹）的可行性； (v) 重新同意来自临床神经科学人类连接组项目的研究参与者的额外数据共享和适度的额外数据收集，其中大多数来自我们现有的队列研究，以便能够向研究界发布更广泛的与酒精相关的变量，并指导我们转向“开放科学”模型。我们希望这些努力还将激励酒精研究人员齐心协力，对年轻人和父母滥用酒精的许多丰富的现有数据集进行协作分析，利用这些数据和分析，并将国家数据库的解释和利用联系起来并更好地提供信息。