Expanding a National Resource for Genetic Research in Behavioral & Health Science

项目描述（由申请人提供）：本项目将利用高通量基因技术进行主要的纵向行为研究，并通过建立科学伙伴关系来整合行为科学和基因科学，从而更新生物医学研究界。将被基因分型的7000名个体参与者将被添加到一个由13,000人组成的数据库中，该数据库是在早期的ARRA项目下建立的。1992年开始的健康和退休研究（HRS）为数据共享和传播设定了标准，有1 000多名不同的作者和共同作者发表了1 000多份出版物。其在健康、心理特征、社会网络、经济地位和行为等领域的丰富测量创造了无与伦比的表型数据体，随着时间的推移，这些数据现在可以使用Illumina omni1四芯芯片与100万个snp的丰富基因型特征配对。作为许多已建立的GWA研究的有价值的复制样本，该资源建立在行为衰老研究中已经广为人知的研究基础上，作为第一个将遗传学与行为表型相结合的大规模研究之一，将彻底改变行为科学研究，为发现创造一个平台。具体而言，该项目旨在通过遗传疾病研究中心（CIDR）对大约7,000份唾液样本进行基因分型；通过dbGaP提供具有有限表型阵列的基因型数据；保持在研究界更广泛地共享基因型和更广泛的表型数据的过程；并与已建立的心血管健康和认知表型进行有限的关联研究，以证明数据资源的潜力，并为未来的研究提供范例。数据和数据共享机制将在本项目结束时纳入正在进行的人力资源调查。

DESCRIPTION (provided by applicant): This project will utilize high-throughput genetic technologies in a major longitudinal behavioral study and renew the biomedical research community by building scientific partnerships for the integration of behavioral and genetic science. The 7,000 individual participants to be genotyped will be added to a database of 13,000 being constructed under an earlier ARRA project. The Health and Retirement Study (HRS), begun in 1992, sets the standard for data-sharing and dissemination, with over 1,000 publications by over 1,000 different authors and co-authors. Its rich measurement across domains of health, psychological characteristics, social networks, and economic status and behavior creates an unparalleled body of phenotypic data observed over time that can now be paired with a rich genotypic characterization of a million SNPs using the Illumina Omni1-quad beadchip. Valuable as a replication sample for many established GWA studies, this resource, building on a study already widely known in behavioral aging research, will revolutionize research on behavioral science as one of the first large-scale studies to combine genetics with behavioral phenotypes, creating a platform for discovery. Specifically, this project aims to conduct genotyping through the Center for Inherited Disease Research (CIDR) on approximately 7,000 samples derived from saliva; to make the genotype data available through dbGaP with a limited array of phenotypes; to maintain a process for sharing genotype and broader phenotype data more widely in the research community; and to conduct a limited set of association studies with established phenotypes of cardiovascular health and cognition to demonstrate the potential of the data resource and serve as examples for future studies. The data and data-sharing mechanisms will be integrated into the ongoing HRS at the conclusion of this project. PUBLIC HEALTH RELEVANCE: This project will conduct genetic analysis on 16,000 individual participants in an ongoing longitudinal study of older Americans, and create mechanisms by which qualified researchers anywhere in the country can access the data for scientific analysis of health and behavior in the older population. It will conduct demonstration studies of genetic factors in cardiovascular health and in cognition.