Bioinformatics, Biostatistics, and Data Management Core

生物信息学、生物统计学和数据管理核心

• 批准号: 10667458
• 负责人: Yan W. Asmann
• 金额: $ 55.11万
• 依托单位: MAYO CLINIC JACKSONVILLE
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-01 至 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10667458
• 关键词: Address; Age-associated memory impairment; Aging; Algorithms; Alzheimer' s Disease; Apolipoprotein E; Area; Automobile Driving; Bioinformatics; Biology; Biometry; Cells; Cognitive; Collaborations; Communities; Computer software; Data; Data Analyses; Data Element; Data Security; Data Set; Database Management Systems; Databases; Dedications; Dictionary; Disease; Ensure; Fostering; Funding; Genes; Genotype; Guidelines; Institution; Investigation; Knowledge; Lead; Lipids; Machine Learning; Measures; Metadata; Methodology; Methods; Modality; Modeling; Molecular; Monitor; Multiomic Data; Outcome Study; Pathway interactions; Play; Policies; Population Genetics; Preparation; Problem Solving; Process; Proteins; Proteome; Proteomics; Publications; Quality Control; Research; Research Design; Resolution; Resources; Role; Sampling; Scientist; Standardization; Statistical Models; System; Testing; Time; Tissues; United States National Institutes of Health; Work; analytical tool; data format; data handling; data integration; data management; data portal; data quality; data sharing; deep learning; design; digital pathology; lipidomics; metabolomics; method development; multimodality; multiple omics; novel; phenotypic data; programs; structural biology; transcriptome; transcriptomics; web portal

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.

项目摘要（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本项目和核心生成的认知/功能数据 U19应用以及随后的尖端生物信息学和生物统计分析任务 需要专门的生物信息学、生物统计学和数据管理核心（核心 G）。 项目和核心涵盖广泛的分析领域，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 在拟议的 U19 计划的阶段，核心 G 与每个项目和核心团队广泛合作，以：1) 协调和标准化不同机构之间的样本元数据； 2）确保一致性和 跨项目和核心的分析方法是否充分； 3）确定所有项目的最佳研究设计 和核心，以便对其提出的假设进行严格的测试； 4）确定分析挑战 Core G 需要开发新的算法和方法。 Core G 将协调和执行所有与 U19 相关的研究设计、数据质量控制和分析以及数据/资源 管理活动。更重要的是，Core G将面临集成和集成的重大挑战。 解释多组学和基因型/表型数据以揭示分子机制和途径 在我们新颖的 ApoE 级联假说 (ACH) 背景下，导致与年龄相关的认知能力下降。 Core G 在这个拟议的 U19 计划中发挥着至关重要的作用，因为它不仅充当协调员，而且 核心和项目之间的协同器，为所有人提供足够的分析和数据管理支持 其他项目和核心，而且还作为一个调查团队揭示基于 ACH 的老化机制，使用 整个 U19 项目将生成多模态和多组学数据集。核心G将确保 U19 团队的研究设计和数据分析的数据库、生物信息学和生物统计学完整性，以及 同时解决多组学数据整合和解释的重大挑战 开发新颖的方法，包括最先进的机器学习和深度学习方法。 Core G 员工拥有与整个 U19 团队广泛互动/合作的记录， 老龄化和 AD 研究方面的独立调查，因此有能力领导数据库和 拟议的 U19 计划的分析活动以及基于 ACH 的老化机制的搜索。