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Genomic Analysis for Social-Behavioral Scientists

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
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-15 至 2021-04-30

项目摘要

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中文摘要
翻译
项目摘要 在本申请中,我们建议举办为期一周的暑期研讨会和一系列在线模块,以构建 利用美国国立卫生研究院资助的社会和行为科学家理解和进行基因组研究的能力 资源,如健康和退休研究(HRS)。我们建议的R25研究性教育计划 将为社会科学研究人员利用这些数据将基因组学整合到他们的 研究方法:1)每年在密歇根大学举办一个带有动手实验室部分的培训研讨会 密歇根州,2)创建了一系列在线教程,可以补充研讨会或作为独立教程 练习,以及3)将这些定制工具与网络上已有的资源相关联。课程和 支持材料将侧重于为在交叉口工作的研究人员提供实践培训 遗传学和社会科学研究,使用HRS数据作为模型,但广泛适用于任何社会科学 利用基因数据进行研究。我们将涵盖遗传学和功能基因组学的生物学概述,以及 介绍目前研究人类复杂性状的统计和遗传学方法。实践分析 将是本课程不可或缺的一部分,并将使用带有教程版本的联网计算机教室 HRS核心调查数据和HRS遗传数据文件。通过讨论并以身作则,我们将重点关注 结合社会科学数据分析基因数据的独特方面,将有助于 研讨会参与者和项目调查人员之间的跨学科协作。
英文摘要
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.
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会议论文
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