Analytics Core

分析核心

• 批准号: 10555726
• 负责人: Kwangsik Timothy Nho
• 金额: $ 131.79万
• 依托单位: MAYO CLINIC JACKSONVILLE
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-03-15 至 2028-02-29
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10555726
• 关键词: Alzheimer' s Disease; Alzheimer' s disease risk; Alzheimer’s disease biomarker; Amyloid; Amyloid beta-Protein; Autopsy; Biological Markers; Biometry; Blood; Brain; Calibration; Clinical; Cognition; Cognitive; Communities; Complex; Computational Biology; Computing Methodologies; DNA Methylation; Data; Data Analyses; Databases; Deposition; Development; Diffusion Magnetic Resonance Imaging; Disease Progression; Documentation; Environment; Ethnic Population; Functional Magnetic Resonance Imaging; Genetic; Genetic Transcription; Genetic study; Genotype; Goals; Image; Institution; Link; Magnetic Resonance Imaging; Measures; Methods; Molecular; Molecular Profiling; Multiomic Data; Nerve Degeneration; Neurofibrillary Tangles; Pathway Analysis; Peripheral; Phenotype; Positron-Emission Tomography; Process; Proteomics; Research Personnel; Rest; Risk; Sampling; Science; Senile Plaques; Standardization; System; Systems Biology; Team Process; Tissues; Visualization; Work; advanced system; brain tissue; cerebrovascular; cohort; computerized data processing; data analysis pipeline; data framework; data harmonization; data integration; data mining; data visualization; deep learning; endophenotype; fluorodeoxyglucose positron emission tomography; genetic association; genome wide association study; high dimensionality; high throughput analysis; interoperability; lipidomics; metabolomics; method development; multi-ethnic; multidimensional data; multidisciplinary; multimodal neuroimaging; multimodality; multiple omics; neuroimaging; neuropathology; novel; phenome; phenotypic data; polygenic risk score; risk prediction; risk stratification; tau Proteins; transcriptome sequencing; whole genome; Alzheimer' s Disease; Alzheimer' s disease risk; Alzheimer’s disease biomarker; Amyloid; Amyloid beta-Protein; Autopsy; Biological Markers; Biometry; Blood; Brain; Calibration; Clinical; Cognition; Cognitive; Communities; Complex; Computational Biology; Computing Methodologies; DNA Methylation; Data; Data Analyses; Databases; Deposition; Development; Diffusion Magnetic Resonance Imaging; Disease Progression; Documentation; Environment; Ethnic Population; Functional Magnetic Resonance Imaging; Genetic; Genetic Transcription; Genetic study; Genotype; Goals; Image; Institution; Link; Magnetic Resonance Imaging; Measures; Methods; Molecular; Molecular Profiling; Multiomic Data; Nerve Degeneration; Neurofibrillary Tangles; Pathway Analysis; Peripheral; Phenotype; Positron-Emission Tomography; Process; Proteomics; Research Personnel; Rest; Risk; Sampling; Science; Senile Plaques; Standardization; System; Systems Biology; Team Process; Tissues; Visualization; Work; advanced system; brain tissue; cerebrovascular; cohort; computerized data processing; data analysis pipeline; data framework; data harmonization; data integration; data mining; data visualization; deep learning; endophenotype; fluorodeoxyglucose positron emission tomography; genetic association; genome wide association study; high dimensionality; high throughput analysis; interoperability; lipidomics; metabolomics; method development; multi-ethnic; multidimensional data; multidisciplinary; multimodal neuroimaging; multimodality; multiple omics; neuroimaging; neuropathology; novel; phenome; phenotypic data; polygenic risk score; risk prediction; risk stratification; tau Proteins; transcriptome sequencing; whole genome

Abstract The Analytic Core will process and harmonize multi-omics and multimodal endophenotype data, and provide advanced computational systems biology methods and frameworks for data integration and analysis for the entire project. Our multidisciplinary team has substantial expertise in multi-omics data analysis, data harmonization, computational method development, multi-omics data integration, genetic association analysis, neuroimaging analysis, data visualization, biostatistics, and network analysis. The Core will support collaborative work of the U19 project by providing processed multi-omics and multimodal phenotype data and enhancing the interoperability of analysis methods and pipelines. Furthermore, the Core will work closely with the Administrative Core to curate and share newly generated data and to provide documentation of data processing for public access. The overall goal of the U19 is to identify and validate centrally-linked longitudinal peripheral biomarkers of Alzheimer’s disease (AD) in multi-ethnic populations by integrating longitudinal multi-omics and multimodal phenotypes from eight independent cohorts. To achieve this goal, harmonized high-quality processed data and advanced computational and systems biology methods and pipelines for data analysis are critical to the entire project. First, the Analytic Core will provide high-quality and harmonized high-throughput multi-omics data from blood and brain tissue and multimodal neuroimaging, cognitive and postmortem neuropathology data. This data will permit analyses connecting peripheral and central changes within and across clinical, community-based and multi-ethnic cohorts and samples. The Core will also implement and provide advanced computational, systems biology frameworks for high-dimensional data analysis, enabling investigators from all three projects to perform data integration and analysis. To this end, the Analytic Core will be comprised of five teams: Omics, Imaging, Clinical, Neuropathology, and Computational and Systems Biology teams. The Analytic Core will focus on new data processing and integrative analysis framework development of longitudinal multi-omics data in relation to longitudinal multimodal endophenotypes. In Aim 1, we will assemble and provide state-of-the-art pipelines for processing high-dimensional multi-omics from blood and brain tissue and multimodal neuroimaging data, as well as clinical, cognition and neuropathology phenotypes for all projects. In Aim 2, we will implement and provide advanced multi-omics and multimodal endophenotype data integration and analysis approaches and pipelines for the entire project, which include but not limited to (1) novel systems biology and deep learning platforms for identification of blood molecular signatures that are associated with molecular signatures in the brain; (2) network-guided integrative analysis methods for multi-omics data integration to predict disease progression; and (3) an advanced system for query, analysis, and visualization in systems biology. The Core will work closely with the other Cores and Projects to enable analysis of multi-omics and AD phenome data for each components’ specific needs.

抽象的 分析核心将处理和协调多摩斯和多模式的内表型数据，并提供 高级计算系统生物学方法和框架用于数据集成和分析的框架 整个项目。我们的多学科团队在多摩斯数据分析中具有丰富的专业知识，数据 协调，计算方法发展，多摩学数据整合，遗传关联分析， 神经影像分析，数据可视化，生物统计学和网络分析。核心将支持协作 U19项目的工作通过提供经过处理的多词和多模式表型数据并增强 分析方法和管道的互操作性。此外，核心将与管理紧密合作 策划和共享新生成的数据并为公众提供数据处理的文档的核心 使用权。 U19的总体目标是识别和验证集中纵向的纵向外周生物标志物 通过整合纵向多词和多模式的多种族人口中的阿尔茨海默氏病（AD） 来自八个独立队列的表型。为了实现这一目标，协调高质量的处理数据， 高级计算和系统生物学方法和数据分析的管道对整个过程至关重要 项目。首先，分析核心将从 血液和脑组织以及多模式神经影像学，认知和验尸神经病理学数据。这个数据 将允许分析在临床，基于社区和 多种族人群和样品。核心还将实施并提供高级计算 用于高维数据分析的生物学框架，使所有三个项目的研究人员能够执行 数据集成和分析。为此，分析核心将完成五个团队：OMICS，Imaging， 临床，神经病理学以及计算和系统生物学团队。分析核心将专注于新的 数据处理和综合分析框架的纵向多派数据的开发与 纵向多模式内表型。在AIM 1中，我们将组装并提供最先进的管道 从血液和脑组织和多模式神经影像数据中处理高维的多摩学，以及 作为所有项目的临床，认知和神经病理学表型。在AIM 2中，我们将实施并提供 先进的多媒体和多模式内表型数据集成和分析方法以及管道 对于整个项目，其中包括但不限于（1）新型系统生物学和深度学习平台 鉴定与大脑中分子特征相关的血液分子信号； （2） 网络指导的综合分析方法用于多态数据集成以预测疾病进展；和 （3）系统生物学中用于查询，分析和可视化的高级系统。核心将与 其他核心和项目可以为每个组件分析多词和AD现象数据 具体需求。