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Application of high-resolution array comparative genomic hybridization in children with unknown syndromic microcephaly.

TitleApplication of high-resolution array comparative genomic hybridization in children with unknown syndromic microcephaly.
Publication TypeJournal Article
Year of Publication2017
AuthorsTsoutsou, E., Tzetis M., Giannikou K., Braoudaki M., Mitrakos A., Amenta S., Selenti N., Kanavakis E., Zafeiriou D., Kitsiou-Tzeli S., & Fryssira H.
JournalPediatr Res
Volume82
Issue2
Pagination253-260
Date Published2017 Aug
ISSN1530-0447
KeywordsChild, Cohort Studies, Comparative Genomic Hybridization, Female, Humans, Karyotyping, Male, Microcephaly, Syndrome
Abstract

BackroundMicrocephaly can either be isolated or it may coexist with other neurological entities and/or multiple congenital anomalies, known as syndromic microcephaly. Although many syndromic cases can be classified based on the characteristic phenotype, some others remain uncertain and require further investigation. The present study describes the application of array-comparative genomic hybridization (array-CGH) as a diagnostic tool for the study of patients with clinically unknown syndromic microcephaly.MethodsFrom a cohort of 210 unrelated patients referred with syndromic microcephaly, we applied array-CGH analysis in 53 undiagnosed cases. In all the 53 cases except one, previous standard karyotype was negative. High-resolution 4 × 180K and 1 × 244K Agilent arrays were used in this study.ResultsIn 25 out of the 53 patients with microcephaly among other phenotypic anomalies, array-CGH revealed copy number variations (CNVs) ranging in size between 15 kb and 31.6 Mb. The identified CNVs were definitely causal for microcephaly in 11/53, probably causal in 7/53, and not causal for microcephaly in 7/53 patients. Genes potentially contributing to brain deficit were revealed in 16/53 patients.ConclusionsArray-CGH contributes to the elucidation of undefined syndromic microcephalic cases by permitting the discovery of novel microdeletions and/or microduplications. It also allows a more precise genotype-phenotype correlation by the accurate definition of the breakpoints in the deleted/duplicated regions.

DOI10.1038/pr.2017.65
Alternate JournalPediatr. Res.
PubMed ID28422950

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