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病(AD)和AD相关痴呆(AD/ADRD)的人数 到2050年几乎是现在的三倍。在美国，拉美裔美国人在美国人口中所占的比例将越来越大， 随着他们人数的增加，他们患AD/ADRD的风险更高，发病更早。尽管有很多 努力和资金集中在开发有效的药物疗法上，但突破仍然具有挑战性。一个 仍然迫切需要开发有效的社会和行为干预措施，以支持患有艾滋病的人 痴呆症和他们的照顾者。此外，还需要完善AD/ADRD风险分层和响应 为治疗干杯。理解复杂的社会/行为结构如何影响老年人衰老的关键障碍 拉美裔美国人的问题是，无论是在研究队伍中还是作为参与者，他们的代表性都严重不足 在研究研究中。为了克服这些挑战，格兰德河谷(RGV)的分析核心(ANC) 德克萨斯州里约热内卢大学少数族裔老龄化研究AD/ADRD资源中心(AD/ADRD-RCMAR) 格兰德山谷(UTRGV)将支持高质量的尖端研究，重点领域是行为和 RCMAR科学家对AD/ADRD的社会科学研究，重点是西班牙裔美国人，特别是 德克萨斯州贫困的美墨边境地区的墨西哥裔美国人。的广度和深度 AD/ADRD-RCMAR项目需要最先进的分析方法，以实现纵向、高度 对表型、遗传和环境层面的数据进行维度和综合分析，以供开发 相关的生物标志物和生物风险决定因素，可以指出可能成为目标的相互作用的因素 干预措施。非国大将为AD/ADRD-RCMAR科学家进行这样的分析，并进一步满足现场的 通过提供指导性的更高层次的分析技能培养和技术培训来充分准备 不同民族干部的早期职业生涯调查。非国大，由具有广泛领域的专家领导 补充专门知识，将成为最大限度地提高研究的严谨性和影响力的关键机制 由AD/ADRD RCMAR科学家进行。在新一轮的拨款周期中，我们会透过 以下具体目标：1)提供相关统计和生物信息学方面的分析专门知识和培训 适用于复杂、多系统和高维数据的方法，包括一种新的集成 各种大型数据集的分析框架。2)最大限度地进行交叉研究和跨模式分析 所有AD/ADRD-RCMAR的项目，通过组织和提供关于墨西哥老龄化的现有数据集 将居住在南得克萨斯州的美国人存储到我们的高性能计算集群中的中央存储库。 3)传播有关计量工具、新方法发展和新数据的科学信息 由AD/ADRD-RCMAR产生和/或提供给AD/ADRD-RCMAR的资源。RGV ANC的独特优势包括 经验丰富的核心领导，丰富的培训和指导环境，有能力促进少数族裔的职业生涯 调查人员，以及接触墨西哥裔美国人的纵向队列。