Families of cohort survivors over 90 - Study Center

描述（由申请人提供）：我们建议招募心血管健康研究（CHS）中长期幸存者的家庭，用于家庭异常生存多中心研究（ESF）。CHS队列（n=5888）最初是从1989- 1990年美国4个社区的医疗保险参保者中随机招募的。它们在健康和功能方面已经非常好地表征，随着时间的推移，提供了检查许多特定和复合表型的机会。所有人都储存了DNA或冷冻保存的白细胞。我们已确定，约有400名90岁及以上的老人将在CHS服务，其中约有200人仍然没有残疾，100人拥有相当大的家庭（平均12人），包括兄弟姐妹及其子女。我们建议对这些家庭成员的特征进行几个层次的详细描述，包括工作组提出的关于特殊生存的最小数据集。由于针对最小数据集提出的残疾措施很可能尚未在儿童中表现出来，因此我们还提出了一些措施

DESCRIPTION (provided by applicant): We propose to recruit families of the long term survivors in the Cardiovascular Health Study (CHS) for the Multicenter Study on Exceptional Survival in Families (ESF). The CHS cohort (n=5888) was originally recruited from a random sample of Medicare enrollees in 4 US communities in 1989-90. They have been extremely well characterized regarding health and function, providing an opportunity to examine many specific as well as composite phenotypes over time. All have stored DNA or cryopreserved white blood cells. We have determined that about 400 individuals aged 90 and over will be available in CHS, with about 200 remaining free of disability and 100 with fairly large families (average 12) including sibs and their children. We would propose to characterize these family members at several levels of detail, to include the minimal data set suggested by the working group on exceptional survival. Since the disability measures proposed for the minimal data set may well not yet be expressed in the children, we also propose measures that would be informative across a spectrum of age as markers of aging and subclinical disease processes. We have a long history of productive collaboration on large multicenter studies and can contribute to the design of common protocols and analytic approaches. Our goal is to contribute as a study center in the design and implementation of this study. We will recruit and examine older adults who have reached age 90, their siblings and the children of the index generation (index cases and siblings). We will determine the extent of clustering of several potential important exceptional survival phenotype. We can contribute data on environmental and behavioral determinants and intermediate phenotypes that can be assessed in younger old adults and will measure core phenotypic characteristics and important environmental exposures in these families. We will participate in the evaluation of aggregation of selected traits and combination of traits to inform future studies. We would propose first determining whether "exceptional survival" is more common in families than expected and then would use combinatorial techniques (principal component analysis and pedigree discriminant analysis) to produce quantitative phenotypes for genetic analysis.