Enriching Alcoholism Cohort and Population Studies

 描述(由申请人提供)：这份R24申请旨在升级和进一步开发一个资源(家庭研究中心：FRC)，支持多个机构的研究人员进行与酒精有关的研究，生成可以广泛使用的数据，应该会有所帮助 促进更大规模的协作数据分析，以及新的数据收集和数据共享(“开放科学”)倡议。从历史上看，该资源利用州重要(例如出生)记录数据，使用不同的抽样设计，实现了广泛的队列研究，导致由24名教员(包括许多职业生涯早期)的研究人员资助了60多个研究项目(包括二级数据分析；生物医学/翻译项目)。我们寻求扩展这一资源，产生进一步链接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，改进对早发性酒精使用、酒精使用的转变和与酒精相关的结果的预测模型(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)；并反过来利用研究数据和派生的预测模型为解释状态数据库及其局限性(例如准确性和预测实用性)提供信息，并确定可在哪些领域利用状态数据来指导未来数据收集的设计和实施(例如用于对未来父母分离和儿童早期饮酒的高风险家庭的风险过程的研究)。由于各州的州数据库结构相当相似，我们开发的数据链接能力将是可扩展的，并可供其他人使用，从而能够在安全的计算环境中整合研究研究和州关键记录或其他数据。次级数据分析将用于确定方案编制和数据库连接任务的优先顺序，还将作为示范项目发挥作用，以确定在多个队列研究和国家数据库中开展工作的效用。这些研究将围绕以下主题组织：(1)父母酗酒和父母分离效应的相互作用及其与早发性饮酒的关系；(2)社区、学校环境以及家庭和个人因素在预测饮酒转变方面的相互作用；(3)推广通过父母反复酒后驾车定罪确定的高风险家庭的结果。对这些努力的补充将是(Iv)为下一代酒精中毒人类研究匹配设计(例如兄弟姐妹)的可行性工作；(V)重新同意从临床神经科学人类连接项目的研究参与者那里进行额外的数据共享和适度的额外数据收集，他们中的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”模式。我们希望这些努力也将激励酒精研究人员走到一起，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。

 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.