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1.
Am J Med Genet C Semin Med Genet ; 163C(4): 232-45, 2013 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-24124010

RESUMO

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.


Assuntos
Biologia Computacional , Anormalidades Craniofaciais/genética , Bases de Dados Factuais , Pesquisa Translacional Biomédica , Animais , Anormalidades Craniofaciais/classificação , Anormalidades Craniofaciais/fisiopatologia , Epigenômica , Genômica , Humanos , Camundongos
2.
Am J Med Genet C Semin Med Genet ; 163C(4): 271-82, 2013 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-24132932

RESUMO

Craniofacial microsomia (CFM) is a complex condition associated with microtia, mandibular hypoplasia, and preauricular tags. It is the second most common congenital facial condition treated in many craniofacial centers and requires longitudinal multidisciplinary patient care. The purpose of this article is to summarize current recommendations for clinical management and discuss opportunities to advance clinical research in CFM.


Assuntos
Anormalidades Congênitas/terapia , Orelha/anormalidades , Assimetria Facial/terapia , Síndrome de Goldenhar/terapia , Anormalidades Congênitas/genética , Anormalidades Congênitas/patologia , Microtia Congênita , Orelha/patologia , Assimetria Facial/genética , Assimetria Facial/patologia , Síndrome de Goldenhar/genética , Síndrome de Goldenhar/patologia , Humanos
3.
Cleft Palate Craniofac J ; 47(4): 368-77, 2010 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-20590458

RESUMO

OBJECTIVE: The authors developed and tested three-dimensional (3D) indices for quantifying the severity of deformational plagiocephaly (DP). DESIGN: The authors evaluated the extent to which infants with and without DP (as determined by clinic referral and two experts' ratings) could be correctly classified. PARTICIPANTS: Infants aged 4 to 11 months, including 154 with diagnosed DP and 100 infants without a history of DP or other craniofacial condition. After excluding participants with discrepant expert ratings, data from 90 infants with DP and 50 infants without DP were retained. MEASUREMENTS: Two-dimensional (2D) histograms of surface normal vector angles were extracted from 3D mesh data and used to compute the severity scores. OUTCOME MEASURES: Left posterior flattening score (LPFS), right posterior flattening score (RPFS), asymmetry score (AS), absolute asymmetry score (AAS), and an approximation of a previously described 2D measure, the oblique cranial length ratio (aOCLR). Two-dimensional histograms localized the posterior flatness for each participant. ANALYSIS: The authors fit receiver operating characteristic curves and calculated the area under the curves (AUC) to evaluate the relative accuracy of DP classification using the above measures. RESULTS: The AUC statistics were AAS = 91%, LPFS = 97%, RPFS = 91%, AS = 99%, and aOCLR = 79%. CONCLUSION: Novel 3D-based plagiocephaly posterior severity scores provided better sensitivity and specificity in the discrimination of plagiocephalic and typical head shapes than the 2D measurements provided by a close approximation of OCLR. These indices will allow for more precise quantification of the DP phenotype in future studies on the prevalence of this condition, which may lead to improved clinical care.


Assuntos
Modelos Anatômicos , Plagiocefalia não Sinostótica/classificação , Área Sob a Curva , Feminino , Humanos , Lactente , Masculino , Índice de Gravidade de Doença
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