Mapping of EFO terms from the GWAS catalog data to multiple ontologies at the Rat Genome Database.

IF 2.7 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Stanley J F Laulederkind, G T Hayman, Shur-Jen Wang, Carissa A Park, Mary L Kaldunski, Mahima Vedi, Marek A Tutaj, Logan Lamers, Jennifer R Smith, Jeffrey L de Pons, Melinda R Dwinell, Anne E Kwitek
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引用次数: 0

Abstract

The laboratory rat, Rattus norvegicus, is an important model of many human diseases, and experimental findings in the rat have relevance to both human physiology and disease. The Rat Genome Database (RGD, https://rgd.mcw.edu/) is a model organism database that provides access to a wide variety of curated rat data including disease associations, phenotypes, pathways, molecular functions, biological processes, cellular components, and chemical interactions for genes, quantitative trait loci (QTL), and strains. Because the laboratory rat is used often as a model of human physiology and disease, RGD has incorporated data from the NHGRI-EBI (National Human Genome Research Institute-European Bioinformatics Institute) catalog of human genome-wide association studies (GWAS) (https://www.ebi.ac.uk/gwas/). This provides the basis for easy integration of RGD data for rat and other species with human SNP (single nucleotide polymorphism)-phenotype associations. When data from different sources use different vocabularies, there must be some standard way to compare the data. Since the human GWAS data are annotated with Experimental Factor Ontology (EFO) terms, RGD needed to map those EFO terms to various ontologies used at RGD for annotating rat genomic and strain data, so the human data can be translationally associated with the wealth of preclinical data including rat genes, rat QTL, and rat strains. To bridge the ontology/vocabulary gap, the curators at RGD have mapped all the EFO terms (http://www.ebi.ac.uk/efo) used to annotate the human GWAS SNPs in the NHGRI-EBI Catalog of human GWAS Catalog Data (https://www.ebi.ac.uk/gwas/) to multiple ontologies used at RGD. RGD has used the mappings to translate human GWAS disease/phenotype EFO annotations into RGD Disease Ontology annotations, human phenotype ontology annotations, clinical measurement ontology annotations, and vertebrate trait ontology annotations. Also, RGD has made the ontological mappings available via Simple Standard for Sharing Ontological Mappings (SSSOM) files on the RGD download site (https://download.rgd.mcw.edu/ontology/mappings/).

从GWAS目录数据到鼠基因组数据库多个本体的EFO术语映射。
褐家鼠(Rattus norvegicus)是人类许多疾病的重要模型,在褐家鼠身上的实验发现与人类生理和疾病都有相关性。大鼠基因组数据库(RGD, https://rgd.mcw.edu/)是一个模式生物数据库,提供了对各种各样的大鼠数据的访问,包括疾病关联、表型、途径、分子功能、生物过程、细胞成分和基因、数量性状位点(QTL)和菌株的化学相互作用。由于实验室大鼠经常被用作人类生理和疾病的模型,RGD纳入了NHGRI-EBI(国家人类基因组研究所-欧洲生物信息学研究所)人类全基因组关联研究目录(GWAS) (https://www.ebi.ac.uk/gwas/)的数据。这为整合具有人类SNP(单核苷酸多态性)-表型关联的大鼠和其他物种的RGD数据提供了基础。当来自不同来源的数据使用不同的词汇表时,必须有一些标准的方法来比较数据。由于人类GWAS数据用实验因子本体(Experimental Factor Ontology, EFO)术语进行了注释,RGD需要将这些EFO术语映射到RGD用于注释大鼠基因组和品系数据的各种本体上,这样人类数据就可以与包括大鼠基因、大鼠QTL和大鼠品系在内的丰富的临床前数据进行翻译关联。为了弥合本体/词汇的差距,RGD的管理员将所有用于注释人类GWAS目录数据NHGRI-EBI目录(https://www.ebi.ac.uk/gwas/)中人类GWAS snp的EFO术语(http://www.ebi.ac.uk/efo)映射到RGD使用的多个本体。RGD使用这些映射将人类GWAS疾病/表型EFO注释翻译成RGD疾病本体注释、人类表型本体注释、临床测量本体注释和脊椎动物特征本体注释。此外,RGD还通过RGD下载站点(https://download.rgd.mcw.edu/ontology/mappings/)上的共享本体映射简单标准(SSSOM)文件提供了本体映射。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Database: The Journal of Biological Databases and Curation
Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
9.00
自引率
3.40%
发文量
100
审稿时长
>12 weeks
期刊介绍: Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.
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