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A Study on Studies: Exploring the Metadata Associated with dbGaP Studies

机译:研究研究:探索与DBGAP研究相关的元数据

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The database of Genotypes and Phenotypes (dbGaP) was developed by the National Heart Lung, and Blood Institute (NHLBI) to archive genome-wide association studies (GWAS) data. As of July 17th 2012, dbGaP contained 305 top-level studies. The metadata for each study (available from the dbGaP website) are organized into distinct sections, including a study description, inclusion/exclusion criteria, policies for authorized access requests, MeSH terms, PubMed identifiers, study histories, and the names of principal and co-investigators. We here tabulate the salient characteristics of dbGaP metadata as part of the Phenotype Discoverer (PhD) project, a research project at the University of California San Diego Division of Biomedical Informatics which aims to enhance the """"searchability"""" of the current dbGaP website through the alignment of phenotypes to a standard information model. In particular, we are interested in using the extracted metadata PubMed identifiers, principal investigator names, associated journal names, etc. as input to a statistical text
机译:基因型和表型(DBGAP)的数据库由全国心肺和血液研究所(NHLBI)开发,以归档基因组关联研究(GWAS)数据。截至2012年7月17日,DBGAP包含305项顶级研究。每个研究的元数据(可从DBGAP网站提供)被组织成不同的部分,包括学习描述,包含/排除标准,授权访问请求的政策,网格术语,PubMed标识符,学习历史和主体和CO的名称 - 投体者。我们在这里制表DBGAP元数据的突出特征作为表型发现者(PHD)项目的一部分,该项目是加州大学San Diego划分的生物医学信息学的研究项目,旨在增强“搜索”“”“当前DBGAP网站通过对准的表型对标准信息模型进行对齐。特别是,我们有兴趣使用所提取的元数据PubMed标识符,主体调查器名称,相关日志名称等作为统计文本的输入

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