Enriching Alcoholism Cohort and Population Studies

 描述（由申请人提供）：此R24申请旨在升级和进一步开发一个资源（家庭研究中心：FRC），该资源支持多个机构的研究人员进行酒精相关研究，生成可以广泛利用的数据，并应有助于 促进更大规模的合作数据分析，以及新的数据收集和数据共享（“开放科学”）举措。从历史上看，利用国家的重要（如出生）记录数据，resurce已经实现了广泛的队列研究的实施，使用不同的抽样设计，导致超过60个资助的研究项目（包括二级数据分析;生物医学/翻译项目）由24名教师（包括许多早期职业）调查。我们寻求扩展这一资源，产生进一步联系和联合分析相关国家和研究数据的能力，并通过利用资源的说明性分析，改进早发性酒精使用、酒精使用过渡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，利用研究数据和衍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），并确定可利用州数据指导未来数据收集设计和实施的领域（例如，研究未来父母分离和儿童早期饮酒的高风险家庭的风险过程）。由于各州数据库的结构在各州之间相当相似，我们开发的数据链接功能将是可扩展的，并且可以提供给其他人，从而能够在安全的计算环境中整合研究和州生命记录或其他数据。次级数据分析将用于确定方案拟订和数据库连接任务的优先次序，也将作为示范项目，以确定跨多个群组研究和国家数据库工作的效用。他们将围绕以下主题组织：（一）父母酗酒和父母分离效应的相互作用及其与早发性酒精使用的关系;（二）邻里、学校环境和家庭及个人因素在预测酒精使用过渡方面的相互作用;（三）通过父母经常性醉酒驾驶定罪将结果推广到高风险家庭。这些工作将由（iv）关于匹配设计的可行性的工作加以补充（例如兄弟姐妹）用于下一代人类酒精中毒研究;（v）重新同意从临床神经科学人类连接组项目的研究参与者中进行额外的数据共享和适度的额外数据收集，其中大部分来自我们现有的队列研究，以便向研究界发布更广泛的与酒精有关的变量，并引导我们转向“开放科学”模式。我们希望这些努力也将激励酒精研究人员聚集在一起，对年轻人和父母滥用酒精的许多丰富的现有数据集进行合作分析，利用这些数据和分析，并链接和更好地为国家数据库的解释和利用提供信息。

 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.