Seattle Longitudinal Study: Archiving, Harmonizing and Augmenting Alzheimer's Disease Relevant Data Sets
Seattle Longitudinal Study: Archiving, Harmonizing and Augmenting Alzheimer's Disease Relevant Data Sets
批准号:
9287966
负责人:
ARTHUR W TOGA
金额:
$48.59万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-30 至 2021-05-31
关键词:
AddressAgeAlzheimer&aposs DiseaseArchivesAreaAutopsyBiological MarkersBirthBloodBlood specimenBrainCaringChronologyCognitionCognitiveCognitive agingCommunitiesDataData CollectionData SetDatabasesDeath RecordsDementiaElderlyEnvironmentEpidemiologyFamilyGenotypeGoalsHealth Maintenance OrganizationsHealth behaviorHome environmentImageryLaboratoriesLife StyleLongitudinal StudiesMeasurementMeasuresMovementMultiple Birth OffspringNeuropsychologyParticipantPathologicPatient Self-ReportPerceptionPersonalityRandomizedRecruitment ActivityResearchResearch InfrastructureResearch PersonnelResourcesRiskRisk FactorsRunningSamplingScanningScientistSecureSelf EfficacyTechnologyTimeUpdateVisualWalkingWashingtonWorkbrain tissuecognitive changecognitive testingcohortcritical perioddata modelingdata sharingdesignepidemiology studyfrailtyinnovationinstrumental activity of daily livinginterestlongitudinal datasetmiddle agemortalityneuroimagingnormal agingpathological agingpopulation basedpre-clinicalprospectivepsychosocialrepositorytrendusabilityweb siteyoung adult
中文摘要
该提案的总体目标是汇总、协调和保护1956年至2012年西雅图纵向研究(SLS)所有阶段获得的丰富数据,为阿尔茨海默病(AD)和正常衰老的流行病学研究创造一个有价值的和可访问的资源。SLS始于1956年,现已活跃60年,是认知纵向变化以及与正常和病理性衰老相关的保护和风险因素的最古老和最长的研究之一,涉及5,000多名参与者。它代表了从华盛顿西部的一家大型健康维护组织招募的基于人群的随机样本。该研究在其队列顺序设计中是独一无二的,该设计检查了1889年至1976年出生队列的认知和心理社会变化,从而提供了检查相同实际年龄范围内多个出生队列的认知变化的机会。该研究不仅涉及广泛的认知纵向数据集,还涉及AD中的多种重要生物标志物,包括具有APOE基因分型的血液样本,尸检时的脑组织和纵向多场合神经影像学数据集。与大多数从老年开始的前瞻性AD研究不同,SLS(年龄范围:22-100+岁)允许检查从年轻成年到非常年老的认知变化。神经成像实验室(LONI)将为SLS提供一个安全的数据存储库基础设施,所有数据和支持文件将首次被全球研究界广泛访问。创新方法的使用将提供整个SLS数据集的交互式和可视化视图,将SLS数据的多个波协调成统一的数据模型。将提供一个搜索界面,允许下载SLS数据,而无需在将其纳入后续分析之前进行大量预处理。NCRAD将作为血液和脑尸检生物标志物的储存库,与LONI储存库内的数据相关联。创建内容丰富的档案可以对科学家、研究资助者产生积极影响,并有可能有效地重新利用数据,使其超出收集数据的初衷。
英文摘要
The overarching goal of this proposal is to aggregate, harmonize and secure the rich collection of data acquire across all waves of the Seattle Longitudinal Study (SLS) from 1956 to 2012, creating a valuable and accessible resource for epidemiological research on Alzheimer’s Disease (AD), as well as normal aging. Begun in 1956 and now active for 60 years, the SLS is one of the oldest and longest running studies of longitudinal change in cognition and the protective and risk factors associated with normal and pathological aging, involving over 5,000 participants. It represents a population-based, randomized sample recruited from a large health maintenance organization in western Washington. The study is unique in its cohort sequential design that examines cognitive and psychosocial change in birth cohorts from 1889 through 1976, thus providing opportunity to examine cognitive change in multiple birth cohorts over the same chronological age range. The study involves not only extensive cognitive longitudinal data sets but also multiple biomarkers of significance in AD, including blood samples with APOE genotyping, brain tissue at autopsy, and longitudinal multi-occasion neuroimaging data sets. Unlike most prospective AD studies beginning in old age, the SLS (age range: 22-100+ yrs) permits examination of cognitive change from young adulthood to very old age. The Laboratory of Neuro Imaging (LONI) will provide a secure data repository infrastructure for the SLS from which all data and supporting documents will be broadly accessible to the research community worldwide for the first time. Use of innovative approaches will provide an interactive and visual view of the entire SLS data set, harmonizing the multiple waves of SLS data into a uniform data model. A search interface will be provided to permit download of SLS data without extensive preprocessing before incorporating it into subsequent analyses. NCRAD will serve as a repository for blood and brain autopsy biomarkers with linkages to data within the LONI repository. Creation of rich archives can have a positive impact on scientists, research funders and potential for effective reuse of data extending beyond the original intent for which it was collected.
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