Genome Wide Association Coordinating Center

描述（由申请人提供）：NIH全基因与环境倡议（GEI），开发用于支持识别高影响疾病和潜在致病环境暴露的主要遗传易感性因素的努力，最近推出了全基因组关联（GWA）组件，以支持初始发现或复制阶段的全基因组关联研究。为了支持这一雄心勃勃的工作的复杂性，华盛顿大学生物统计系召集了一个专家小组，作为协调中心，为数据整合、数据协调和分析方法和工具的开发提供必要的组织和统计专门知识，以及管理这种性质的大型多地点科学研究所需的任务。具体而言，GWA CC将作为一个集中资源，通过以下方式促进和支持GEI-GWA计划的活动以及GEI支持的复制和精细绘图活动、测序和功能研究：（1）开发，协调和提供本倡议中所包含研究的表型数据的文件，并在国家生物技术中心和研究之间提供所有数据集的存储和传输根据需要的场地;（2）通过为建模和选择复制和后续研究的选项提供统计支持，为测序和功能研究选择靶点，为这些策略的发展做出贡献;开发统计方法学，以协调应用于组合表型集的数据，根据选定的平台识别用于基因分型的样本;为分析方法的进一步发展提供统计支持;并支持研究者对合并数据集进行数据分析;（3）通过开发和使用旨在允许和鼓励信息交换的工具，促进所有研究中心之间的研究沟通，对所有活动进行管理和协调;协调所有指导委员会和工作组会议以及电话会议，包括分发相关材料和编制所有中期和最终报告，指导委员会、项目办公室和工作组，（4）管理制定政策、记录和共享数据所需的所有任务，以及（5）支持指导委员会或项目办公室要求的所有其他工作，以成功协调GEI-GWA研究。将本着合作精神，采用创造性和灵活的办法，协调全球环境倡议-全球水评估研究，同时在统计方法和项目管理办法方面发挥领导作用。该提案汇集了一个强大的统计遗传学家，生物统计学家，流行病学家，程序员，分析师和项目管理人员团队，他们具有多年的相关经验，以成功实现GEI-GWA的目标。

DESCRIPTION (provided by applicant): The NIH-wide Genes and Environment Initiative (GEI), developed to support efforts for identification of major genetic susceptibility factors for high impact diseases and potential causative environmental exposures, recently launched the Genome-Wide Associations (GWA) component to support genome-wide association studies in both the initial discovery or replication phases. To support the complexities of such an ambitious effort, the Department of Biostatistics at the University of Washington has convened a team of experts to serve as the Coordinating Center (GWA CC) to provide the necessary organizational and statistical expertise for integration of data, development of methodologies and tools for both data harmonization and analyses, and for the administration of those tasks needed for a large multi-site scientific study of this nature. Specifically, the GWA CC will serve as a centralized resource to facilitate and support the activities of the GEI-GWA program and for GEI-supported replication and fine mapping activities, sequencing, and functional studies by (1) developing, harmonizing and providing documentation of phenotypic data from studies included in this initiative and to provide the storage and transfer of all datasets between the National Center for Biotechnology and study sites as needed; (2) contributing to the development of these strategies by providing statistical support for modeling and selecting options for replication and follow-up studies, selecting targets for sequencing and functional studies; developing statistical methodology for harmonization of data to be applied to the combined set of phenotypes, identifying samples for genotyping according to selected platforms; providing statistical support for further development of analytic methods; and supporting data analyses of the combined dataset to study investigators; (3) providing administration and coordination of all activities by facilitating study communications across all sites by developing and using tools designed to allow and encourage information exchange; coordinating all Steering Committee and working group meetings and conference calls to include distribution of pertinent materials and production of all interim and final reports for the Steering Committee, Project Office, and working groups, (4) administering all tasks necessary for development of policies, documentation of and sharing of data, and (5) supporting all other efforts requested by the Steering Committee or Project Office as needed for successful coordination of the GEI-GWA Study. Coordination of the GEI-GWA Study will be done in a spirit of collaboration using creative and flexible approaches while providing leadership in statistical methodology and approaches to project management. This proposal brings together a strong team of statistical geneticists, biostatisticians, epidemiologists, programmers, analysts and project management staff with many years of related experience to successfully accomplish the goals of the GEI-GWA.