Washington University Omics Production Center

项目摘要 为了提高我们对不同祖先人群中人类疾病的理解，我们建议建立 华盛顿大学OMICS生产中心(WU-Economics PC)。作为健康和健康的多重奥米克的一部分 疾病联盟，吴-组学PC将帮助设计一项协作计划，以：(I)探索使用多 组学、环境暴露数据和表型信息，以评估疾病状态；(2)开发 在多组学研究中协调、整合和解释数据的方法；以及(Iii)创建丰富的集合 与研究界共享的强大的多维数据。在颁奖的第一年，吴- 组学PC将与联盟的其他成员密切合作，设计一个项目路线图，详细说明 招募受试者的战略、需要收集的生物检疫物质的类型、样本处理和运输 转移和整合协调的程序、要执行的组学技术以及最佳做法 数据。1年后，我们建议使用Wu-Economics PC收集全基因组测序、全基因组 亚硫酸氢盐测序、atac-seq、rna-seq、蛋白质组学和代谢组学数据 方法：研究方法。Wu-Economics PC将使用已建立的、相同的工作流来收集组学数据 调查组已经成功地应用于其他类似范围和规模的多组学研究。我们的 组学工作流程已经过广泛的基准测试，我们有详细的质量保证协议， 质量控制和批次效应的纠正。WU-Economy PC处于独特的地位，可以实现其 目标是因为执行大规模、高通量组学分析的基础设施已经到位。 此外，五体机的领导层在参与组学联合体方面也有成功的记录 并提供遗传学、生物化学、分析、生物化学等方面的互补和协同研究专业知识 仪器、计算数据处理和多维数据集成。

Project Summary To improve our understanding of human disease in ancestrally diverse populations, we propose to establish the Washington University Omics Production Center (WU-omics PC). As part of the Multi-Omics of Health and Disease Consortium, the WU-omics PC will help design a collaborative plan to: (i) explore the use of multi- omics, environmental exposure data, and phenotypic information to assess disease states; (ii) develop methods for data harmonization, integration, and interpretation in multi-omics studies; and (iii) create a rich set of robust multi-dimensional data to share with the research community. In the first year of the award, the WU- omics PC will work closely with other members of the Consortium to design a project roadmap that details strategies for subject recruitment, the types of biospecimens to be collected, sample handling and shipping procedures, omics techniques to be performed, and best practices for transferring and integrating harmonized data. After year 1, we propose for the WU-omics PC to collect whole genome sequencing, whole genome bisulfite sequencing, ATAC-seq, RNA-seq, proteomics, and metabolomics data by using the agreed upon methods. The WU-omics PC will collect omics data by using well-established workflows that the same investigative team has already successfully applied to other multi-omics studies of similar scope and scale. Our omics workflows have been extensively benchmarked and we have detailed protocols for quality assurance, quality control, and correction of batch effects. The WU-omics PC is uniquely positioned to accomplish its goals because the infrastructure to perform large-scale, high-throughput omics assays is already in place. Moreover, the leadership of the WU-omics PC has a successful track record of participating in omics consortia and provides complementary and synergistic research expertise in genetics, biochemistry, analytical instrumentation, computational data processing, and multi-dimensional data integration.