Microarray-Based Comparative Genomic Hybridization, Multiplex Ligation-Dependent Probe Amplification, and High-Resolution Karyotype for Differential Diagnosis Oculoauriculovertebral Spectrum: A Systematic Review

Author:

Glaeser Andressa Barreto1,Diniz Bruna Lixinski1,Deconte Desirée1,Santos Andressa Schneiders2,Rosa Rafael Fabiano Machado3,Zen Paulo Ricardo Gazzola3ORCID

Affiliation:

1. Graduate Program in Pathology, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil

2. Undergraduate Program in Biomedicine, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil

3. Department of Internal Medicine, Clinical Genetics, Irmandade Santa Casa de Misericórdia de Porto Alegre, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil

Abstract

AbstractOculoauriculovertebral spectrum (OAVS) is a rare class of heterogenous congenital craniofacial malformation conditions of unknown etiology. Although classic OAVS has been described as hemifacial microsomia with facial asymmetry and microtia, there is no consensus regarding clinical criteria for diagnosis or genetic cause. This systematic review aims to assess the applicability of high-resolution (HR) karyotype, fluorescence in situ hybridization, multiplex ligation-dependent probe amplification (MLPA), and microarray-based comparative genomic hybridization (array-CGH) for differential diagnosis of OAVS. A search was performed in PubMed and Web of Science using all entry terms to the following descriptors: Goldenhar's syndrome, cytogenetic analysis, hybridization in situ, fluorescent, comparative genomic hybridization, multiplex polymerase chain reaction, whole genome sequencing, and karyotype analysis methods. After screening, 25 articles met eligibility. Of the included studies, 59 individuals had a genetic alteration identified. Array-CGH, MLPA, and HR karyotype appear to be viable approaches for molecular diagnosis in OAVS. Heterogeneity is a hallmark of OAVS. Establishing an enhanced framework for diagnosis would inform clinical decision making, and better resource utilization could improve health care facility efficiency and economy.

Funder

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

Programa de Extensão Universitária do Ministério da Educação e Cultura

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)/Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Georg Thieme Verlag KG

Subject

Genetics(clinical),Pediatrics, Perinatology, and Child Health

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