Analysis Core

分析核心

• 批准号: 10730147
• 负责人: John Blangero
• 金额: $ 6.57万
• 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: 2018-09-15 至 2028-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10730147
• 关键词: Address; Advisory Committees; Aging; Alzheimer' s Disease; Alzheimer' s disease related dementia; Area; Behavior Therapy; Behavioral; Behavioral Sciences; Bioinformatics; Biological; Biological Markers; Biometry; Brain; Budgets; Caregivers; Caring; Collaborations; Communities; Complex; Data; Data Analyses; Data Set; Dementia; Development; Diabetes Mellitus; Discipline of Nursing; Disease; Doctor of Philosophy; Early Onset Alzheimer Disease; Environment; Epidemiology; Faculty; Family; Fostering; Funding; Genetic; Goals; Healthcare Systems; High Performance Computing; Hispanic Americans; Human Genetics; Infrastructure; Instruction; Integrative Therapy; Intervention; Intervention Studies; Ions; Leadership; Longitudinal cohort; Measurement; Mentors; Methodology; Methods; Mexican Americans; Mexico; Minority; Minority Groups; Modality; Molecular Biology; NIH Program Announcements; Neurology; Neurosciences; Obesity; Observational Study; Participant; Patients; Persons; Pharmacotherapy; Phenotype; Pilot Projects; Population; Poverty; Psychiatry; Research; Research Design; Research Personnel; Research Project Grants; Resources; Risk; Scientist; Social Work; Sociology; South Texas; Structure; System; Texas; Thinking; Training; Training Activity; Underrepresented Populations; Universities; base; behavioral and social science; career; cluster computing; cognitive function; data resource; design; education research; experience; high dimensionality; high risk; improved; interest; large datasets; medical schools; member; method development; minority investigator; multidimensional data; non-genetic; novel; pharmacologic; professor; programs; recruit; repository; research study; risk stratification; skills; social; social interventions; social science research; therapy development; tool

Project Summary – Analysis Core The number of people living with Alzheimer's disease (AD) and AD-related dementias (AD/ADRD) is expected to almost triple by 2050. In the US, Hispanic Americans will comprise an ever-larger fraction of this population, as their numbers are increasing, and they have higher risk for and earlier onset of AD/ADRD. Despite much effort and funding to focused on developing effective drug therapies, breakthroughs remain challenging. An urgent need persists to develop efficient social and behavioral interventions to support people living with dementia and their caregivers. Also, there is a need to refine AD/ADRD risk stratification and responsiveness to treatments. A key barrier to understanding how complex social/behavioral structures impact aging of Hispanic Americans is that they are vastly underrepresented both in the research workforce and as participants in research studies. To overcome these challenges, the Analysis Core (AnC) of the Rio Grande Valley (RGV) AD/ADRD Resource Center for Minority Aging Research (AD/ADRD-RCMAR) at the University of Texas Rio Grande Valley (UTRGV) will support high-quality, cutting-edge research in priority areas of behavioral and social science research on AD/ADRD by RCMAR scientists, focusing on Hispanic Americans, and particularly Mexican Americans of the impoverished US-Mexico border region in Texas. The breadth and depth of AD/ADRD-RCMAR projects require state-of-the-art analytic approaches that enable longitudinal, high- dimensional, and integrative analyses of data at the phenotypic, genetic, and environmental levels to exploit relevant biomarkers and biological risk determinants that can point to interacting factors that may be targets for interventions. The AnC will conduct such analyses for AD/ADRD-RCMAR scientists and further meet the field’s needs by providing instructional higher-order analytical skill-building and technical training to fully prepare a cadre of diverse minority early career stage investigators. The AnC, led by experts with a broad range of complementary expertise, will serve as a critical mechanism for maximizing rigor and impact of the research conducted by AD/ADRD RCMAR scientists. For the new funding cycle, we will achieve our objectives via the following Specific Aims: 1) Provide analytical expertise and training in relevant statistical and bioinformatics methods appropriate for complex, multisystem, and high dimensional data, including a novel integrative analytical framework for diverse large data sets. 2) Maximize cross-study and cross-modality analyses among all AD/ADRD-RCMARs’ projects by organizing and make available existing data sets on aging Mexican Americans residing in South Texas into a central repository hosted in our high-performance computing cluster. 3) Disseminate scientific information on measurement tools, novel methodological developments, and new data resources produced by and/or available to the AD/ADRD-RCMAR. Unique strengths of the RGV AnC include experienced core leaders, a rich training and mentoring environment, the ability to foster careers of minority investigators, and access to longitudinal cohorts of Mexican Americans.

项目摘要 - 分析核心 预计患有阿尔茨海默氏病（AD）和广告相关痴呆症（AD/ADRD）的人数是 到2050年，几乎将三倍。在美国，西班牙裔美国人将完成这一人口的一部分， 随着它们的数量越来越多，并且在AD/ADRD发作及以前的风险较高。尽管很多 努力和资金专注于开发有效的药物疗法，突破仍然是挑战。一个 迫切需要持续发展有效的社会和行为干预措施，以支持拥有的人们 痴呆症及其护理人员。此外，有必要完善广告/ADRD风险分层和响应能力 进行治疗。了解复杂的社会/行为结构如何影响衰老的关键障碍 西班牙裔美国人是，他们在研究人员和参与者中的代表性大大不足 在研究中。为了克服这些挑战，里奥格兰德山谷（RGV）的分析核心（ANC） 德克萨斯大学里奥分校的广告/ADRD少数民族老龄化研究中心（AD/ADRD-RCMAR） 格兰德谷（UTRGV）将支持行为和行为优先领域的高质量，尖端研究 RCMAR科学家对广告/ADRD的社会科学研究，专注于西班牙裔美国人，尤其是 德克萨斯州贫困的美国 - 墨西哥边境地区的墨西哥裔美国人。广度和深度 AD/ADRD-RCMAR项目需要最先进的分析方法，以使纵向，高级 在表型，遗传和环境水平上对数据的维度和综合分析以利用 相关的生物标志物和生物风险决定者可以指出可能是目标的相互作用因素 干预措施。 ANC将对AD/ADRD-RCMAR科学家进行此类分析，并进一步符合该领域的 通过提供教学高阶分析技能培养和技术培训来充分准备一个需求 少数民族早期职业阶段调查人员的干部。 ANC由专家领导 完全专业知识将成为最大化严格和研究影响的关键机制 由AD/ADRD RCMAR科学家进行。对于新的资金周期，我们将通过 以下具体目的：1）在相关统计和生物信息学方面提供分析专业知识和培训 适用于复杂，多系统和高维数据的方法，包括一种新颖的集成 潜水员大数据集的分析框架。 2）最大化跨研究和交叉模式分析 通过组织并提供有关墨西哥老化的现有数据集，所有广告/ADRD-RCMARS的项目 居住在德克萨斯州南部的美国人进入了我们高性能计算集群中的中央存储库。 3）传播有关测量工具，新颖方法论和新数据的科学信息 AD/ADRD-RCMAR生产和/或可用的资源。 RGV ANC的独特优势包括 经验丰富的核心领导者，丰富的培训和心理环境，培养少数职业的能力 调查人员，并获得墨西哥裔美国人纵向人群的机会。