Analysis Core Rio Grande Valley AD-RCMAR
里奥格兰德河谷分析核心 AD-RCMAR
基本信息
- 批准号:10241359
- 负责人:
- 金额:$ 14.44万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 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:
- 关键词:AddressAge-associated memory impairmentAgingAlzheimer&aposs DiseaseAlzheimer&aposs disease riskAndeanAnimal ModelAreaArgentinaBehavioralBehavioral SciencesBioinformaticsBiologicalBiometryBrainBudgetsCellsClinicalClinical ResearchCognitionComplexDataData AnalysesData Management ResourcesData SetDementiaDevelopmentDiabetes MellitusDiseaseEconomicsEnsureEpidemiologyFacultyFamilyGeneticGenetic Predisposition to DiseaseHealthcare SystemsHigh Performance ComputingHispanicsImpaired cognitionIn VitroIndividualInstitutesIntegrative TherapyLife Cycle StagesMeasurementMethodologyMethodsMexican AmericansMinorityMinority GroupsModalityMolecular BiologyNIH Program AnnouncementsNeurologyNeurosciencesObesityParticipantPatientsPhenotypePopulationPopulation StudyPsychiatryQuality ControlResearchResearch PersonnelResourcesSocial InteractionSouth TexasSpecific qualifier valueStructureSystemTexasTrainingUniversitiesVenezuelaWorkadvanced analyticsbehavioral impairmentcluster computingcognitive functiondata harmonizationdata resourcedesignhigh dimensionalityimprovedknowledge baselarge datasetsmembermultidimensional datanon-geneticnovelpopulation basedpreventpsychologicrepositorysocialtool
项目摘要
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.
项目总结-分析核心
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('John Blangero', 18)}}的其他基金
Experimental Cellular Approaches to Genotype × Environment Interaction
基因型与环境相互作用的实验细胞方法
- 批准号:
10630638 - 财政年份:2023
- 资助金额:
$ 14.44万 - 项目类别:
Research Project 2 - Genomic Approaches to Pollutome Effects on Risk of Major Depression in Hispanic Pedigrees
研究项目 2 - 污染组学方法对西班牙裔谱系中重度抑郁症风险的影响
- 批准号:
10749788 - 财政年份:2023
- 资助金额:
$ 14.44万 - 项目类别:
Shared Genetic and Environmental Influences on Age-Related Hearing Loss, Cognitive Decline, and Dementia Risk
遗传和环境对与年龄相关的听力损失、认知能力下降和痴呆风险的共同影响
- 批准号:
10658077 - 财政年份:2023
- 资助金额:
$ 14.44万 - 项目类别:
Identification of the Exposome in Fatty Liver Disease in Mexican American Families Using Genetic Correction
使用基因校正鉴定墨西哥裔美国人家庭脂肪肝中的暴露组
- 批准号:
10057266 - 财政年份:2018
- 资助金额:
$ 14.44万 - 项目类别:
Identification of the Exposome in Fatty Liver Disease in Mexican American Families Using Genetic Correction
使用基因校正鉴定墨西哥裔美国人家庭脂肪肝中的暴露组
- 批准号:
10307087 - 财政年份:2018
- 资助金额:
$ 14.44万 - 项目类别:
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