Analysis Core Rio Grande Valley AD-RCMAR

里奥格兰德河谷分析核心 AD-RCMAR

• 批准号: 10241359
• 负责人: John Blangero
• 金额: $ 14.44万
• 依托单位: UNIVERSITY OF TEXAS RIO GRANDE VALLEY
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10241359
• 关键词: Address; Age-associated memory impairment; Aging; Alzheimer' s Disease; Alzheimer' s disease risk; Andean; Animal Model; Area; Argentina; Behavioral; Behavioral Sciences; Bioinformatics; Biological; Biometry; Brain; Budgets; Cells; Clinical; Clinical Research; Cognition; Complex; Data; Data Analyses; Data Management Resources; Data Set; Dementia; Development; Diabetes Mellitus; Disease; Economics; Ensure; Epidemiology; Faculty; Family; Genetic; Genetic Predisposition to Disease; Healthcare Systems; High Performance Computing; Hispanics; Impaired cognition; In Vitro; Individual; Institutes; Integrative Therapy; Life Cycle Stages; Measurement; Methodology; Methods; Mexican Americans; Minority; Minority Groups; Modality; Molecular Biology; NIH Program Announcements; Neurology; Neurosciences; Obesity; Participant; Patients; Phenotype; Population; Population Study; Psychiatry; Quality Control; Research; Research Personnel; Resources; Social Interaction; South Texas; Specific qualifier value; Structure; System; Texas; Training; Universities; Venezuela; Work; advanced analytics; behavioral impairment; cluster computing; cognitive function; data harmonization; data resource; design; high dimensionality; improved; knowledge base; large datasets; member; multidimensional data; non-genetic; novel; population based; prevent; psychologic; repository; social; tool

Project Summary – Analysis Core The number of people living with Alzheimer's disease (AD) is expected to almost triple by 2050. Understanding and restoring cognitive function is critical to improving patients´ lives and minimize the catastrophic strains on the health care system, families, and the federal budget. The understanding of the determinants of Alzheimer’s disease risk and the consequences of disease constitutes a complex problem. The Analysis Core (AnC) of the AD Resource Center for Minority Aging Research (AD-RCMAR) at the University of Texas Rio Grande Valley (UTRGV) aims to support projects in order to examine these large problems and to add to our knowledge base about age-related cognitive decline by combining several scientific methodologies at multiple levels of analysis. The proposed AD-RCMAR will encourage faculty from psychiatry, neurology, behavioral science, neuroscience, epidemiology, genetics, molecular biology, biostatistics, bioinformatics and other areas to focus on the specific vulnerabilities of AD in Hispanic and other minority populations. AD-RCMAR research will be conducted through population-based epidemiology, clinical studies, and work with animal models, and in vitro cell systems. The breadth and depth of likely AD-RCMAR projects will generate particular needs for state-of-the-art analytic approaches that address longitudinal, high-dimensional, and integrative treatment of data at phenotypic, genetic, and environmental (i.e., non-genetic) levels as well as the consideration of interactions between causal domains. The proposed AnC is designed to meet these needs by providing access to experts with a broad range of complementary expertise who will be able to work collaboratively with AD-RCMAR investigators to conduct any needed specified analyses. The overall function of the proposed core focuses, as required by the program announcement, is on the integrative analysis of data sets across multiple broad domains including social, economic, behavioral, psychological, biological and genetic factors. We will achieve our objectives through the following Specific Aims: 1) to maximize cross-study and cross-modality analysis among AD-RCMAR projects, we will organize and make available existing data sets of aging Hispanics/minorities into a central repository hosted in our high performance compute cluster at the South Texas Diabetes and Obesity Institute including the Genetics of Brain Structure and Function Study with 2,000 participants who are members of large Mexican American families, the lMaracaibo Aging Study consisting of ~4,500 Hispanic individuals living in Venezuela, and the Kolla Population Study which focuses on an isolated Andean population in Argentina comprised of ~250 individuals; 2) the AnC will provide analytical expertise and training in relevant statistical, statistical genetic and bioinformatics methods appropriate for complex, multisystem and high dimensional data including a novel integrative analytical framework for diverse large data sets; 3) the AnC will disseminate scientific information regarding measurement tools, novel methodological developments and new data resources produced by and/or available to the AD-RCMAR.

项目摘要 - 分析核心 患有阿尔茨海默氏病（AD）的人数预计到2050年将几乎三倍。 恢复认知功能对于改善患者的生活并最大程度地减少灾难性菌株至关重要 医疗保健系统，家庭和联邦预算。对阿尔茨海默氏症决定者的理解 疾病风险和疾病的后果构成了一个复杂的问题。分析核心（ANC） 德克萨斯大学里奥格兰德分校的广告资源少数族裔老化研究中心（AD-RCMAR） （UTRGV）旨在支持项目以研究这些大问题并增加我们的知识库 通过在多个分析级别的分析中结合几种科学方法，以与年龄相关的认知下降。 拟议的AD-RCMAR将鼓励精神病学，神经病学，行为科学，神经科学，神经科学， 流行病学，遗传学，分子生物学，生物统计学，生物信息学和其他领域，以关注特定 AD在西班牙裔和其他少数群体中的脆弱性。 AD-RCMAR研究将通过 基于人群的流行病学，临床研究以及与动物模型和体外细胞系统的工作。 可能的AD-RCMAR项目的广度和深度将产生针对最新分析的特定需求 在表型，遗传， 和环境（即非遗传）水平以及因果域之间相互作用的考虑。 拟议的ANC旨在通过提供广泛的专家访问来满足这些需求 完全专业的知识，他们将能够与AD-RCMAR调查人员合作进行任何合作 需要指定的分析。根据程序的要求，提议的核心重点的总体功能 公告，正在对跨多个广泛领域的数据集进行集成分析，包括社交， 经济，行为，心理，生物学和遗传因素。我们将通过 以下具体目的：1）在AD-RCMAR项目之间最大化跨研究和跨模式分析， 我们将组织并将现有的衰老西班牙裔/少数民族的现有数据集成为中央存储库 在我们的高性能计算集群中主持在南德克萨斯州糖尿病和肥胖研究所 大脑结构和功能研究的遗传学与2,000名大型墨西哥成员的参与者 美国家庭，Lmaracaibo老化研究，包括约4,500名西班牙裔人，居住在委内瑞拉 和Kolla人口研究的重点是阿根廷的孤立的安第斯人口，完成了约250个 个人2）ANC将在相关统计，统计遗传和 生物信息学方法适用于复杂，多系统和高维数据，包括新颖的数据 潜水员大数据集的集成分析框架； 3）ANC将传播科学信息 相关的测量工具，新颖的方法论发展和由和/或产生的新数据资源 可用于AD-RCMAR。