Analysis Core Rio Grande Valley AD-RCMAR

项目摘要-分析核心 到2050年，阿尔茨海默病（AD）患者的数量预计将增加近两倍。理解 恢复认知功能对改善患者的生活和减少灾难性的压力至关重要。 医疗保健系统、家庭和联邦预算。对阿尔茨海默病决定因素的理解 疾病风险和疾病后果构成了一个复杂的问题。分析核心（AnC） 德克萨斯大学格兰德河谷少数民族老龄化研究AD资源中心（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 通过在多个分析层次上结合几种科学方法来研究与年龄相关的认知能力下降。 拟议中的AD-RCMAR将鼓励精神病学、神经病学、行为科学、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的具体重点 西班牙裔和其他少数民族人群中AD的脆弱性。AD-RCMAR研究将通过 基于人群的流行病学，临床研究，动物模型和体外细胞系统的工作。的 可能的AD-RCMAR项目的广度和深度将产生对最先进的分析的特殊需求 解决表型，遗传， 和环境（即，非遗传）水平以及考虑因果域之间的相互作用。 拟议的AnC旨在满足这些需求，为专家提供广泛的 补充专业知识，他们将能够与AD-RCMAR研究人员合作， 需要具体分析。根据计划要求， 公告，是对多个广泛领域的数据集进行综合分析，包括社交， 经济、行为、心理、生物和遗传因素。我们将通过以下途径实现我们的目标： 以下具体目标：1）在AD-RCMAR项目中最大限度地进行交叉研究和交叉模态分析， 我们将组织和提供现有的老龄西班牙裔/少数民族的数据集到一个中央存储库 托管在南德克萨斯糖尿病和肥胖研究所的高性能计算集群中， 大脑结构和功能的遗传学研究与2,000名参与者谁是大型墨西哥 美国家庭，马拉开波老龄化研究，包括约4,500名生活在委内瑞拉的西班牙裔人， 以及Kolla人口研究，其重点是阿根廷的一个孤立的安第斯人口， 2）AnC将提供相关统计，统计遗传学和统计学方面的分析专业知识和培训， 适用于复杂、多系统和高维数据的生物信息学方法，包括一种新的 不同大型数据集的综合分析框架; 3）AnC将传播科学信息 关于计量工具、新的方法发展和 提供给AD-RCMAR。

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.