A novel FBXO28 frameshift mutation in a child with developmental delay, dysmorphic features, and intractable epilepsy: A second gene that may contribute to the 1q41-q42 deletion phenotype.

Chromosome 1q41-q42 deletions have recently been associated with a recognizable neurodevelopmental syndrome of early childhood (OMIM 612530). Within this group, a predominant phenotype of developmental delay (DD), intellectual disability (ID), epilepsy, distinct dysmorphology, and brain anomalies on magnetic resonance imaging/computed tomography has emerged. Previous reports of patients with de novo deletions at 1q41-q42 have led to the identification of an evolving smallest region of overlap which has included several potentially causal genes including DISP1, TP53BP2, and FBXO28. In a recent report, a cohort of patients with de novo mutations in WDR26 was described that shared many of the clinical features originally described in the 1q41-q42 microdeletion syndrome (MDS). Here, we describe a novel germline FBXO28 frameshift mutation in a 3-year-old girl with intractable epilepsy, ID, DD, and other features which overlap those of the 1q41-q42 MDS. Through a familial whole-exome sequencing study, we identified a de novo FBXO28 c.972_973delACinsG (p.Arg325GlufsX3) frameshift mutation in the proband. The frameshift and resulting premature nonsense mutation have not been reported in any genomic database. This child does not have a large 1q41-q42 deletion, nor does she harbor a WDR26 mutation. Our case joins a previously reported patient also in whom FBXO28 was affected but WDR26 was not. These findings support the idea that FBXO28 is a monogenic disease gene and contributes to the complex neurodevelopmental phenotype of the 1q41-q42 gene deletion syndrome.

Exploring genome-wide DNA methylation patterns in Aicardi syndrome.

AIM: To explore differential DNA methylation (DNAm) in Aicardi syndrome (AIC), a severe neurodevelopmental disorder with largely unknown etiology. PATIENTS & METHODS: We characterized DNAm in AIC female patients and parents using the Illumina 450 K array. Differential DNAm was assessed using the local outlier factor algorithm, and results were validated via qPCR in a larger set of AIC female patients, parents and unrelated young female controls. Functional epigenetic modules analysis was used to detect pathways integrating both genome-wide DNAm and RNA-seq data. RESULTS & CONCLUSION: We detected differential methylation patterns in AIC patients in several neurodevelopmental and/or neuroimmunological networks. These networks may be part of the underlying pathogenic mechanisms involved in the disease.