ReviewAmerican journal of medical genetics. Part C, Seminars in medical genetics2013
The ontology of craniofacial development and malformation for translational craniofacial research.
Review in American journal of medical genetics. Part C, Seminars in medical genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- FaceBase: A Community-Driven Hub for Data-Intensive Research.Journal of dental research · 2022Review
- FaceBase 3: analytical tools and FAIR resources for craniofacial and dental research.Development (Cambridge, England) · 2020Review
- Cranial Neural Crest Cells and Their Role in the Pathogenesis of Craniofacial Anomalies and Coronal Craniosynostosis.Journal of developmental biology · 2020Review
- Comprehensive anatomic ontologies for lung development: A comparison of alveolar formation and maturation within mouse and human lung.Journal of biomedical semantics · 2019Article
- Modeling craniofacial development reveals spatiotemporal constraints on robust patterning of the mandibular arch.PLoS computational biology · 2018Article
- Identification of five novel genetic loci related to facial morphology by genome-wide association studies.BMC genomics · 2018Article
- Article
- Multi-species Ontologies of the Craniofacial Musculoskeletal System.CEUR workshop proceedings · 2016Article
- The old and new face of craniofacial research: How animal models inform human craniofacial genetic and clinical data.Developmental biology · 2016Review
- The FaceBase Consortium: a comprehensive resource for craniofacial researchers.Development (Cambridge, England) · 2016Article
- From frames to OWL2: Converting the Foundational Model of Anatomy.Artificial intelligence in medicine · 2016Article
- Recent insights into the morphological diversity in the amniote primary and secondary palates.Developmental dynamics : an official publication of the American Association of Anatomists · 2015Review
- Computer processable classification of craniofacial clefts.Frontiers in physiology · 2015Article
- Evaluation and integration of disparate classification systems for clefts of the lip.Frontiers in physiology · 2014Review
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Authors and funding
11 authors.
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Abstract
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.