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Diagnostic yield of exome sequencing in prenatal agenesis of corpus callosum: systematic review and meta-analysis.

Mustafa, HJ; Barbera, JP; Sambatur, EV; Pagani, G; Yaron, Y; Baptiste, CD; Wapner, RJ; Brewer, CJ; Khalil, A (2024) Diagnostic yield of exome sequencing in prenatal agenesis of corpus callosum: systematic review and meta-analysis. Ultrasound Obstet Gynecol, 63 (3). pp. 312-320. ISSN 1469-0705 https://doi.org/10.1002/uog.27440
SGUL Authors: Khalil, Asma

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Abstract

OBJECTIVES: To determine the incremental diagnostic yield of exome sequencing (ES) after negative chromosomal microarray analysis (CMA) in cases of prenatally diagnosed agenesis of the corpus callosum (ACC) and to identify the associated genes and variants. METHODS: A systematic search was performed to identify relevant studies published up until June 2022 using four databases: PubMed, SCOPUS, Web of Science and The Cochrane Library. Studies in English reporting on the diagnostic yield of ES following negative CMA in prenatally diagnosed partial or complete ACC were included. Authors of cohort studies were contacted for individual participant data and extended cohorts were provided for two of them. The increase in diagnostic yield with ES for pathogenic/likely pathogenic (P/LP) variants was assessed in all cases of ACC, isolated ACC, ACC with other cranial anomalies and ACC with extracranial anomalies. To identify all reported genetic variants, the systematic review included all ACC cases; however, for the meta-analysis, only studies with ≥ three ACC cases were included. Meta-analysis of proportions was employed using a random-effects model. Quality assessment of the included studies was performed using modified Standards for Reporting of Diagnostic Accuracy criteria. RESULTS: A total of 28 studies, encompassing 288 prenatally diagnosed ACC cases that underwent ES following negative CMA, met the inclusion criteria of the systematic review. We classified 116 genetic variants in 83 genes associated with prenatal ACC with a full phenotypic description. There were 15 studies, encompassing 268 cases, that reported on ≥ three ACC cases and were included in the meta-analysis. Of all the included cases, 43% had a P/LP variant on ES. The highest yield was for ACC with extracranial anomalies (55% (95% CI, 35-73%)), followed by ACC with other cranial anomalies (43% (95% CI, 30-57%)) and isolated ACC (32% (95% CI, 18-51%)). CONCLUSIONS: ES demonstrated an incremental diagnostic yield in cases of prenatally diagnosed ACC following negative CMA. While the greatest diagnostic yield was observed in ACC with extracranial anomalies and ACC with other central nervous system anomalies, ES should also be considered in cases of isolated ACC. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Item Type: Article
Additional Information: © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: corpus callosum, exome, meta-analysis, microarray, prenatal diagnosis, systematic review, Female, Humans, Pregnancy, Agenesis of Corpus Callosum, Corpus Callosum, Exome Sequencing, Corpus Callosum, Humans, Pregnancy, Female, Agenesis of Corpus Callosum, Exome Sequencing, corpus callosum, exome, meta-analysis, microarray, prenatal diagnosis, systematic review, 1114 Paediatrics and Reproductive Medicine, Obstetrics & Reproductive Medicine
Journal or Publication Title: Ultrasound Obstet Gynecol
ISSN: 1469-0705
Language: eng
Dates:
DateEvent
1 March 2024Published
31 July 2023Published Online
7 July 2023Accepted
Publisher License: Creative Commons: Attribution 4.0
PubMed ID: 37519216
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/115694
Publisher's version: https://doi.org/10.1002/uog.27440

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