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Original Articles

Genetic testing in fetuses with isolated agenesis of the corpus callosum

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Pages 2227-2234 | Received 02 Jul 2019, Accepted 23 Aug 2019, Published online: 05 Sep 2019
 

Abstract

Purpose

The objectives of this study were to explore genetics pathogenesis of isolated agenesis of corpus callosum (ACC) and assess the utility of chromosomal microarray analysis (CMA) for genetic diagnosis of isolated ACC.

Methods

We analyzed the genomes of 16 fetuses with isolated ACC using Afymetrix CytoScan HD arrays and conducted further bioinformatic analysis for one proband fetus with an abnormal copy number variation (CNV).

Results

Of the 16 fetal samples examined, two (12.5%) had pathogenic CNVs and three (18.75%) had variants of unknown significance. Two cases, case 2 and case 9, were found to have pathogenic CNVs. Bioinformatic analyses indicated that the CNV of one fetus (case 9) contained 115 annotated coding genes, five of which (SLC6A5, BDNF, ELP4, PAX6, and SLC1A2) have been associated with neurodevelopment. Three of these genes (SLC1A2, BDNF, and PAX6) may play a key role in ACC development. GO cluster analysis of the implicated genes revealed strong representations of protein binding and metal ion binding functions. KEGG pathway analysis pointed to four pathways: longevity regulating pathway, amyotrophic lateral sclerosis, cocaine addiction, and autophagy-animal.

Conclusions

BDNF, SLC1A2, and PAX6 may be involved in the development of isolated ACC. CMA is a feasible technology for prenatal diagnosis of isolated ACC.

Acknowledgements

We thank the patients at the Prenatal Diagnostic Center of Guangzhou Women and Children’s Medical Center and the Six Affiliated Hospital, Guangzhou Medical University, China for their support and assistance with this study.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This study was supported by The National Natural Science Foundation of China [81771594] and Guangdong medical science and Technology Research Fund [A2018476].

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