THE CACHE COUNTY FAMILY BASED COHORT STUDY ON AGING

描述：(摘自申请)犹他州卡奇县，研究 老年记忆是一项关于痴呆症和认知能力下降的纵向研究， 非常适合开展遗传疾病的纵向流行病学研究 和特定年龄生存特征的环境决定因素以及 变化率特征。我们提出以下具体目标，以建立 喀什县以家庭为基础的老龄化队列研究 1.来自原始5092缓存队列成员的数据将链接到 犹他州人口数据库的计算机化家谱记录。这个 将分析每个队列成员的家庭结构，并将变量 得出每个参与者的平均家庭寿命和家庭晚年 女性生育能力。我们将研究家族长寿之间的联系 以及晚期雌性生育能力和特定年龄的特征。 2.将重新联系估计尚存的4100名队列成员，并 采访以收集有关他们的健康史和生命状况的数据，并 他们亲属的联系方式。血液样本将会被采集， 加工，并储存起来，用于未来的遗传、营养和生物标志物研究。 3.关于在目标2中确定的亲属的数据，包括估计11,000人 活着的兄弟姐妹，将被链接到原始队列的系谱数据库 使用犹他州人口数据库的成员。在一项初步研究中，我们将选择 居住在卡奇县外的居住兄弟姐妹的随机样本 招募其中400人进行数据收集，以确定可行性 全面的基于家庭的关联研究延伸到了卡奇县以外 以及犹他州以外的地方。 4.将开发新的统计工具，以研究特定年龄的 以家庭为基础的关联研究中的特征。我们建议将统一的 在三个新领域为以家庭为基础的关联研究建立战略模型： A)在没有父母基因数据的研究中的应用；b) 表型平均公害处理问题的解决方案 分布；以及c)将表型视为经审查的生存 结果。我们将研究统一建模方法的使用--在 SIB-Pair框架--测试候选基因之间的关联度 和特定年龄的特征，并测试基因-基因和基因-环境 互动。

DESCRIPTION: (Abstract from application) The Cache County, Utah, Study on Memory in Aging, a longitudinal study of dementia and cognitive decline, is well-suited for development of longitudinal epidemiologic studies of genetic and environmental determinants of age-specified survival traits and rate-of-change traits. We propose the following specific aims to establish the Cache County Family-based Cohort Study on Aging: 1. Data from the original 5092 Cache cohort members will be linked to the computerized genealogical records of the Utah Population Data Base. The family structure of each cohort member will be analyzed and variables will be derived for each participant's average familial longevity and familial late female fertility. We will examine the associations between familial longevity and late female fertility and age-specified traits. 2. The estimated 4100 surviving cohort members will be re-contacted and interviewed to collect data on their health history and the vital status and contact information for their relatives. Blood samples will be obtained, processed, and banked for future genetic, nutritional, and biomarker studies. 3. Data on the relatives ascertained in Aim 2, including an estimated 11,000 living siblings, will be linked to the pedigree database of original cohort members using the Utah Population Data Base. In a pilot study we will select a random sample of the living siblings living outside of Cache County and recruit 400 of them for data collection in order to determine the feasibility of full-scale family-based association studies that extend beyond Cache County and beyond Utah. 4. New statistical tools will be developed for the study of age-specified traits in family-based association studies. We propose to extend the unified modeling strategies for family-based association studies in three new areas: a) application in studies with the absence of parental genotype data; b) solution of the problem of handling the nuisance mean of phenotypic distributions; and c) consideration of phenotype as a censored survival outcome. We will investigate use of the unified modeling approach--within the sib-pair framework--to test the degree of association between candidate genes and age-specified traits and to test for gene-gene and gene-environment interactions.