Bioinformatics, Biostatistics, and Data Management Core

项目总结（APOE U19核心G：生物信息学、生物统计学和数据管理核心） 多组学的复杂性以及项目和核心产生的认知/功能数据， U19应用程序和随后的尖端生物信息学和生物统计分析任务 需要一个专门的生物信息学，生物统计学和数据管理核心（核心G）。 这些项目和核心涵盖了广泛的分析领域，包括群体遗传学，结构生物学， 蛋白质组学、脂质组学、代谢组学、转录组学和数字病理学。因此，在设计过程中 在U19计划的第一阶段，核心G与每个项目和核心团队进行了广泛的合作，以：1） 协调不同机构之间的样本元数据并使之标准化; 2）确保一致性， 跨项目和核心的分析方法的充分性; 3）确定所有项目的最佳研究设计 和核心，以允许严格测试他们提出的假设;和4）确定分析挑战， 新的算法和方法需要由Core G开发。 核心G将协调和执行所有与U19相关的研究设计、数据QC和分析以及数据/资源 管理活动。更重要的是，Core G将承担整合和 解释多组学和基因型/表型数据，以揭示分子机制和途径 在我们的新ApoE级联假说（ACH）的背景下，驱动年龄相关的认知下降。 核心G在这个拟议的U19计划中发挥着关键作用，因为它不仅充当协调员， 核心和项目之间的协同增效，为所有人提供充分的分析和数据管理支持 其他项目和核心，但也作为一个调查小组，以揭示基于ACH的老化机制，使用 由整个U19程序生成的多模态和多组学数据集。核心G将确保 数据库、生物信息学和生物统计学的完整性，用于U19团队的研究设计和数据分析，以及 同时，通过以下方式解决多组学数据集成和解释的重大挑战 开发新的方法，包括最先进的机器学习和深度学习方法。 核心G员工与整个U19团队有着广泛的互动/合作记录， 在老龄化和AD研究的独立调查，因此处于领先地位的数据库， 建议的U19计划的分析活动以及基于ACH的老化机制的研究。

PROJECT SUMMARY (APOE U19 Core G: Bioinformatics, Biostatistics, and Data Management Core) The complexity of multi-omics as well as cognitive/functional data generated by the Projects and Cores in this U19 application and the subsequent mandate for cutting-edge bioinformatics and biostatistical analyses demand a dedicated Bioinformatics, Biostatistics, and Data Management Core (Core G). The Projects and Cores span a wide range of analytical areas including population genetics, structural biology, proteomics, lipidomics, metabolomics, transcriptomics, and digital pathology. As such, during the designing stage of the proposed U19 program, the Core G worked extensively with every Project and Core team to: 1) harmonize and standardize sample metadata between different institutions; 2) ensure consistency and adequacy of analytic approaches across projects and cores; 3) determine optimal study design for all projects and cores to allow rigorous testing of their proposed hypotheses; and 4) identify analytic challenges for which novel algorithms and methods need to be developed by Core G. Core G will coordinate and perform all U19-related study design, data QC and analytics, and data/resource management activities. More importantly, Core G will take on the significant challenge of integrating and interpreting multi-omics and genotypic/phenotypic data to uncover molecular mechanisms and pathways driving age-related cognitive decline in the context of our novel ApoE Cascade Hypothesis (ACH). Core G plays a critical role in this proposed U19 program because it acts not only as the coordinator and synergizer between Cores and Projects to provide adequate analytic and data management support for all other Projects and Cores, but also as an investigative team to unveil the ACH-based aging mechanism using the multi-modalities and multi-omics datasets to be generated by the entire U19 program. Core G will ensure database, bioinformatics, and biostatistics integrity for study design and data analyses across U19 teams, and at the same time address the significant challenge of multi-omics data integration and interpretation by developing novel methodologies including the state-of-art machine learning and deep learning approaches. The Core G staff have a track record of both extensive interactions/collaborations with the entire U19 team and independent investigations in aging and AD research, and are thus well situated to lead the database and analytic activities of the proposed U19 program as well as the search of ACH-based aging mechanism.