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DE NOVO KMT2D HETEROZYGOUS FRAMESHIFT DELETION IN A NEWBORN WITH A CONGENITAL HEART ANOMALY

期刊

BALKAN JOURNAL OF MEDICAL GENETICS
卷 23, 期 1, 页码 83-90

出版社

MACEDONIAN ACAD SCIENCES ARTS
DOI: 10.2478/bjmg-2020-0008

关键词

Congenital heart anomalies (CHAs); Genetics; KMTD2 gene; Kabuki syndrome (KS); Next generation sequencing (NGS) analysis

资金

  1. Comparative Genomics and Genomic Biodiversity of the Slovenian Research Agency (ARRS) [P4-0220]
  2. University Medical Centre, Maribor, Slovenia [IRP-2015/01-07]

向作者/读者索取更多资源

Kabuki syndrome (KS) is characterized by typical facial features and patients are also affected by multiple congenital anomalies, of which congenital heart anomalies (CHAs) are present in 28.0 to 80.0%. In approximately 75.0% of patients, the genetic causes of KS are caused by mutation in the KMT2D gene. Although KS is a well-characterized syndrome, reaching the diagnosis in neonates is still challenging. Namely, newborns usually display mild facial features; therefore the diagnosis is mainly based on congenital malformations. In our case, a newborn was referred for next generation sequencing (NGS) testing due to the prenatally observed CHA. After birth, a ventricular septal defect (VSD), vesicoureteral reflux, muscular hypotonia, cleft palate, mild m icrocephaly, and some dysmorphic features, were noted. The NGS analysis was performed on the proband's genomic DNA using the TruSight One Sequencing Panel, which enriches exons of 4813 genes with clinical relevance to the disease. After variant calling, NGS data analysis was predominantly focused on rare variants in genes involved in VSD, microcephaly, and muscular hypotonia; features observed predominantly in our proband. With the aforementioned protocol, we were able to determine the previously unreported de novo frameshift deletion in the KMT2D gene resulting in translation termination. Although our proband is a typical representative of KS, his diagnosis was reached only after NGS analysis. Our proband thus represents the importance of genotype-phenotype driven NGS analysis in diagnosis of patients with congenital anomalies.

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