Genomic Analysis for Social-Behavioral Scientists

社会行为科学家的基因组分析

• 批准号: 9161296
• 负责人: Jessica Faul
• 金额: $ 13.49万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2021-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9161296
• 关键词: Address; Aging; Area; Behavioral; Biological; Biological Sciences; Biology; Biosocial; Cognition; Collaborations; Collection; Communities; Complex; Custom; Data; Data Files; Databases; Discipline; Education; Educational process of instructing; Educational workshop; Epidemiology; Exercise; Explosion; Funding; Future; Genetic; Genetic Research; Genetic study; Genomics; Genotype; Goals; Health; Health Sciences; Health behavior; Heart; Human; Internet; Knowledge; Language Development; Link; Measures; Methodology; Methods; Michigan; Modeling; Online Systems; Outcome; Personal Satisfaction; Personality; Reporting; Research; Research Methodology; Research Personnel; Research Project Grants; Resources; Retirement; Science; Science of genetics; Scientist; Series; Social Behavior; Social Sciences; Sum; Surveys; Thinking; Time; Training; Translating; United States National Institutes of Health; Universities; Work; behavioral/social science; cohort; computer network; cost; data modeling; education research; experience; functional genomics; genetic analysis; genetic association; genetic variant; genome-wide; genomic data; health data; innovation; interest; online tutorial; phenotypic data; population based; programs; response; skills; social; social science research; tool; trait; web site

Project Summary In this application, we propose a week-long summer workshop and series of online modules to build the capacity of social and behavioral scientists to understand and conduct genomic research using NIH-funded resources, such as the Health and Retirement Study (HRS). Our proposed R25 Research Education Program will open up the opportunity for social science researchers using these data to integrate genomics into their research by 1) offering a training workshop with a hands-on lab component annually at the University of Michigan, 2) creating a series of online tutorials that can augment the workshop or serve as stand-alone exercises, and 3) linking these custom tools with resources already available on the web. The course and supporting material will focus on providing hands-on training for researchers working at the intersection of genetics and social science research, using HRS data as a model, but broadly applicable to any social science study with genetic data. We will cover a biological overview of genetics and functional genomics as well as an introduction to current statistical and genetic methods for studying human complex traits. Hands-on analysis will be an integral part of the course and will utilize a classroom of networked computers with tutorial versions of the HRS core survey data and HRS genetic data files. Through discussion and by example we will focus on the unique aspects of analyzing genetic data in combination with social science data and will facilitate collaboration across disciplines among the workshop attendees and project investigators.

项目摘要 在此应用程序中，我们提出了为期一周的夏季研讨会和一系列在线模块来构建 社会和行为科学家使用NIH资助的理解和进行基因组研究的能力 资源，例如健康和退休研究（HRS）。我们建议的R25研究教育计划 将为社会科学研究人员使用这些数据将基因组学整合到他们的 1）每年在大学的动手实验室组件提供培训研讨会。 密歇根州，2）创建一系列在线教程，可以增强研讨会或独立 练习以及3）将这些自定义工具与网络上已经可用的资源链接在一起。课程和 支持材料将着重于为在交集的研究人员提供动手培训 遗传学和社会科学研究，使用人力资源数据作为模型，但广泛适用于任何社会科学 研究遗传数据。我们将介绍遗传学和功能基因组学的生物学概述以及 研究人类复杂性状的当前统计和遗传学方法的简介。动手分析 将是该课程不可或缺的一部分，并将利用带有教程版本的网络计算机教室 HRS核心调查数据和HRS遗传数据文件的。通过讨论，以例如我们将重点放在 分析遗传数据与社会科学数据的独特方面，并将促进 讲习班参与者和项目调查员之间的跨学科合作。