Linking Data Sources from the Autism Genetic Resource Exchange (AGRE) with NDAR

描述（由申请人提供）：本申请涉及广泛的挑战领域（06）使能技术和特定的挑战主题，06-MH-104，将数据资源与NIH的国家自闭症研究数据库（NDAR）链接。这项申请建议加强自闭症遗传资源交换（AGRE）的基础设施，使AGRE可以作为自闭症研究国家数据库（NDAR）的联合会网站。AGRE是Autism Speaks的一个项目，它积累了一个非常强大的临床数据集，其中包括详细的医疗，发育，形态，人口统计和行为信息，使其成为超过4000个ASD个体和家庭成员的丰富，多学科数据的最大系统库之一。将AGRE的表型数据与来自多个来源的遗传信息相结合，将为数据挖掘提供极其丰富的数据集。该应用程序将通过汇集临床表型，数据收集，数据管理，系统集成和遗传分析的领导者来增强AGRE，以提供一个共享的公共平台，促进更广泛的数据共享和科学合作，以加快自闭症研究的步伐。这将在数量和范围上大大加强国家自闭症研究所用户可用的知识库，使他们能够推进对自闭症根本原因的分析和调查。复杂的神经发育障碍，如自闭症，最好通过合作研究来解决，这种合作研究汇集了大量的患者样本，以加快研究的步伐。自闭症谱系障碍（ASD）的综合临床和遗传数据库的可用性，如自闭症之声的自闭症遗传资源交换（AGRE），对ASD遗传研究的轨迹产生了重大影响。该项目的目标是建立AGRE方案的能力，使其成为国家自闭症研究数据库的数据联合网站。通过这笔赠款，AGRE将能够使全面的表型和遗传数据集更广泛地提供给更大的自闭症研究人员社区。

DESCRIPTION (provided by applicant): This application addresses Broad Challenge Area (06) Enabling Technologies and specific Challenge Topic, 06-MH-104, Linking data resources with NIH's National Database for Autism Research (NDAR). This application proposes to enhance the infrastructure of the Autism Genetic Resource Exchange (AGRE) so that AGRE can serve as a federation site for the National Database for Autism Research (NDAR). AGRE, a program of Autism Speaks, has amassed an extremely robust clinical dataset that includes detailed medical, developmental, morphological, demographic and behavioral information making it one of the largest systematic repositories of rich, multidisciplinary data for over 4000 ASD individuals and family members. Integrating AGRE's phenotype data with genetic information from multiple sources will provide an extremely rich dataset for data mining. This application will enhance AGRE by bringing together the leaders in clinical phenotyping, data collection, data management, systems integration, and genetic analysis to provide a shared common platform that will facilitate data sharing and scientific collaboration on a broader scale to accelerate the pace of autism research. This will greatly enhance, in both quantity and scope, the knowledge base available to NDAR users, allowing them to advance their analysis and investigation of the underlying causes of autism. Complex neurodevelopmental disorders such as autism are best approached by collaborative research efforts that pool large patient samples to accelerate the pace of research. The availability of comprehensive clinical and genetic databases for autism spectrum disorders (ASD) such as Autism Speaks' Autism Genetic Resource Exchange (AGRE) has had a substantial influence on the trajectory of genetic studies of ASD. The goal of this project is to build the capacity of the AGRE program to serve as a data federation site for the National Database for Autism Research (NDAR). Through this grant, AGRE will be able to make comprehensive phenotype and genetic datasets more broadly available to a larger community of autism researchers.