Infrastructure and Core Activities of the Social Science Genetic Association Consortium

社会科学遗传学协会联盟的基础设施和核心活动

• 批准号: 10410572
• 负责人: Daniel J Benjamin
• 金额: $ 33.7万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-15 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10410572
• 关键词: Adolescent; Adult; Aging; Area; Behavior; Behavioral; Catalogs; Collection; Communities; Computer software; Data; Data Set; Development; Dietary intake; Documentation; Follow-Up Studies; Funding; Genetic; Genomics; Genotype; Goals; Grant; Health; Health and Retirement Study; Infrastructure; Life; Longitudinal Studies; Manuals; Measures; Meta-Analysis; Methodology; Methods; Monoclonal Antibody R24; National Institute on Aging; Phenotype; Policies; Publishing; Research; Research Personnel; Resources; Risk; Sampling; Science of genetics; Social Functioning; Social Sciences; Targeted Research; Update; Wisconsin; behavioral genomics; behavioral phenotyping; behavioral study; behavioral/social science; experience; genetic association; genetic predictors; genome wide association study; genome-wide; interdisciplinary collaboration; online resource; repository; response; satisfaction; social; statistics; tool; user friendly software; user-friendly; web site

The Social Science Genetic Association Consortium (SSGAC) is a research network that provides a platform for large-scale, interdisciplinary collaborations on genome-wide association studies of behavioral phenotypes. Because credible results often require large discovery samples, a primary function of the SSGAC is to conduct genome-wide association studies conducted in different datasets and then rigorously combine the results. To this end, the SSGAC also promotes the collection of harmonized and well-measured phenotypes across datasets and the development of new methodological tools. The SSGAC is committed to disseminating its research findings, as well as accompanying software and manuals, to the research community. The overarching goal of this proposal is to maintain and develop the core infrastructure of the SSGAC. The resources produced by the SSGAC will continue to serve the field of behavioral genomics in general, and the behavioral genomics of aging in particular. The Specific Aims are: • Conduct genome-wide association studies of health and aging-relevant behavioral phenotypes in much larger samples that have now become available. Currently planned studies include analyses of educational attainment, general risk tolerance, and life satisfaction, all in unprecedentedly large samples. In addition, we will undertake large-scale studies of additional phenotypes as data becomes available. • Facilitate researchers' use of SSGAC results by (a) maintaining published results on the SSGAC's website, and (b) providing participating datasets with certain unpublished results, in accordance with the SSGAC's Data Availability Policy. • Develop a “Repository of Polygenic Scores,” which are variables constructed from genetic data that are useful to researchers. We will set up the Repository to provide polygenic scores to participating datasets. • Update and expand the Repository as new genetic-association results become available. We will also welcome any new datasets who wish to participate. Each release will be accompanied by documentation that clearly describes methods used and the underlying data. • Create and disseminate software that will allow datasets to create their own polygenic scores, using the same harmonized methodology as the Repository but without needing to share their genetic data with the SSGAC. The software will be publicly available on a GitHub repository featuring a Q&A forum where potential users can ask questions. We will also prepare user-friendly software manual.

社会科学遗传协会财团（SSGAC）是一个研究网络，为 关于行为表型的全基因组关联研究的大规模跨学科合作。 由于可靠的结果通常需要大量发现样本，因此SSGAC的主要功能是进行 在不同数据集中进行的全基因组关联研究，然后严格结合结果。对此 最后，SSGAC还促进了跨数据集和统一和测量表型的收集 开发新的方法论工具。 SSGAC致力于传播其研究发现， 以及参与的软件和手册，向研究界。 该提案的总体目标是维护和发展SSGAC的核心基础设施。 SSGAC生产的资源将继续为行为基因组学领域提供服务，并将 尤其是衰老的行为基因组学。具体目的是： •在更大范围内进行全基因组的健康和与衰老相关的行为表型研究 现在已可用的样品。目前计划的研究包括教育分析 达成，普遍的风险承受能力和生活满意度，所有这些样本都是大型样本。另外，我们 随着数据可用，将对其他表型进行大规模研究。 •通过（a）维护SSGAC网站上已发布的结果，促进研究人员对SSGAC结果的使用， （b）根据SSGAC的参与数据集提供某些未发表的结果 数据可用性策略。 •开发一个“多基因分数的存储库”，这是由有用的遗传数据构成的变量 给研究人员。我们将设置存储库，为参与数据集提供多基因分数。 •随着新的遗传关联结果可用，更新和扩展了存储库。我们也欢迎 任何希望参与的新数据集。每个版本将通过文档来完成 描述所使用的方法和基础数据。 •创建和传播软件，该软件将允许数据集创建自己的多基因分数，并使用相同 协调的方法作为存储库，但不需要与SSGAC共享其遗传数据。 该软件将在GITHUB存储库中公开可用 可以问问题。我们还将准备用户友好的软件手册。