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The Journal of Gene Medicine
Article . 2022 . Peer-reviewed
License: CC BY NC ND
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Prenatal diagnosis of Walker–Warburg syndrome due to compound mutations in the B3GALNT2 gene

Authors: Peng Wang; Pengzhen Jin; Linyan Zhu; Min Chen; Yeqing Qian; Wenshan Zeng; Miaomiao Wang; +3 Authors

Prenatal diagnosis of Walker–Warburg syndrome due to compound mutations in the B3GALNT2 gene

Abstract

AbstractBackgroundCongenital hydrocephalus is one of the symptoms of Walker–Warburg syndrome that is attributed to the disruptions of the genes, among which the B3GALNT2 gene is rarely reported. A diagnosis of the Walker–Warburg syndrome depends on the clinical manifestations and the whole‐exome sequencing after birth, which is unfavorable for an early diagnosis.MethodsWalker–Warburg Syndrome was suspected in two families with severe fetal congenital hydrocephalus. Whole‐exome sequencing and Sanger sequencing were performed on the affected fetuses.ResultsThe compound heterozygous variants c.1A>G p.(Met1Val) and c.1151+1G>A, and c.1068dupT p.(D357*) and c.1052 T>A p.(L351*) in the B3GALNT2 gene were identified, which were predicted to be pathogenic and likely pathogenic, respectively. Walker–Warburg syndrome was prenatally diagnosed on the basis of fetal imaging and whole‐exome sequencing.ConclusionsOur findings expand the spectrum of pathogenic mutations in Walker–Warburg syndrome and provide new insights into the prenatal diagnosis of the disease.

Related Organizations
Keywords

Walker-Warburg Syndrome, Pregnancy, Prenatal Diagnosis, Mutation, Exome Sequencing, Humans, N-Acetylgalactosaminyltransferases, Female, Research Articles, Hydrocephalus

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
Green
hybrid