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The ontology of craniofacial development and malformation for translational craniofacial research

机译:颅面发育和畸形的本体论为颅面翻译的研究

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摘要

We introduce the Ontology of Craniofacial Development and Malformation (OCDM) as a mechanism for representing knowledge about craniofacial development and malformation, and for using that knowledge to facilitate integrating craniofacial data obtained via multiple techniques from multiple labs and at multiple levels of granularity. The OCDM is a project of the NIDCR-sponsored FaceBase Consortium, whose goal is to promote and enable research into the genetic and epigenetic causes of specific craniofacial abnormalities through the provision of publicly accessible, integrated craniofacial data. However, the OCDM should be usable for integrating any web-accessible craniofacial data, not just those data available through FaceBase. The OCDM is based on the Foundational Model of Anatomy (FMA), our comprehensive ontology of canonical human adult anatomy, and includes modules to represent adult and developmental craniofacial anatomy in both human and mouse, mappings between homologous structures in human and mouse, and associated malformations. We describe these modules, as well as prototype uses of the OCDM for integrating craniofacial data. By using the terms from the OCDM to annotate data, and by combining queries over the ontology with those over annotated data, it becomes possible to create "intelligent" queries that can, for example, find gene expression data obtained from mouse structures that are precursors to homologous human structures involved in malformations such as cleft lip. We suggest that the OCDM can be useful not only for integrating craniofacial data, but also for expressing new knowledge gained from analyzing the integrated data.
机译:我们介绍了颅面发育和畸形本体(OCDM),作为表示有关颅面发育和畸形的知识的机制,并使用该知识来促进整合通过多种实验室和多种粒度的多种技术获得的颅面数据。 OCDM是由NIDCR赞助的FaceBase财团的一个项目,其目标是通过提供可公开访问的集成颅面数据来促进和实现对特定颅面异常的遗传和表观遗传原因的研究。但是,OCDM应该可用于集成任何可通过Web访问的颅面数据,而不仅仅是可通过FaceBase获得的数据。 OCDM基于解剖学的基础模型(FMA),这是我们对规范的成人成年解剖学的全面本体,并包括代表人和小鼠的成年和发育性颅面解剖的模块,人与小鼠的同源结构之间的映射以及相关的畸形。我们将介绍这些模块以及OCDM集成颅面数据的原型用法。通过使用OCDM中的术语来注释数据,以及将对本体的查询与对注释数据的查询组合在一起,可以创建“智能”查询,例如,该查询可以找到从作为前体的小鼠结构获得的基因表达数据涉及畸形的同源人体结构,例如唇裂。我们建议OCDM不仅可用于整合颅面数据,而且还可用于表达通过分析整合数据获得的新知识。

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