Whole-Exome Sequencing (WES) has proven valuable in the characterization of underlying genetic defects in most rare diseases (RDs). Copy Number Variants (CNVs) were initially thought to escape detection. Recent technological advances enabled CNV calling from WES data with the use of accurate and highly sensitive bioinformatic tools. Amongst 920 patients referred for WES, 454 unresolved cases were further analysed using the ExomeDepth algorithm. CNVs were called, evaluated and categorized according to ACMG/ClinGen recommendations. Causative CNVs were identified in 40 patients, increasing the diagnostic yield of WES from 50.7% (466/920) to 55% (506/920). Twenty-two CNVs were available for validation and were all confirmed; of these, five were novel. Implementation of the ExomeDepth tool promoted effective identification of phenotype-relevant and/or novel CNVs. Among the advantages of calling CNVs from WES data, characterization of complex genotypes comprising both CNVs and SNVs minimizes cost and time to final diagnosis, while allowing differentiation between true or false homozygosity, as well as compound heterozygosity of variants in AR genes. The use of a specific algorithm for calling CNVs from WES data enables ancillary detection of different types of causative genetic variants, making WES a critical first-tier diagnostic test for patients with RDs.

The human 16p11.2 chromosomal region is rich in segmental duplications which mediate the formation of recurrent CNVs. CNVs affecting the 16p11.2 region are associated with an increased risk for developing neuropsychiatric disorders, including autism spectrum disorder (ASD), schizophrenia, and intellectual disability (ID), as well as abnormal body weight and head circumference and dysmorphic features, with marked phenotypic variability and reduced penetrance. CNVs affecting the 16p11.2 region mainly affect a distal interval of ~220 Kb, between Breakpoints 2 and 3 (BP2–BP3), and a proximal interval of ~593 Kb (BP4–BP5). Here, we report on 15 patients with recurrent 16p11.2 rearrangements that were identified among a cohort of 1600 patients (0.9%) with neurodevelopmental disorders. A total of 13 deletions and two duplications were identified, of which eight deletions included the proximal 16p11.2 region (BP4–BP5) and five included the distal 16p11.2 region (BP2–BP3). Of the two duplications that were identified, one affected the proximal and one the distal 16p11.2 region; however, both patients had additional CNVs contributing to phenotypic severity. The features observed and their severity varied greatly, even between patients within the same family. This article aims to further delineate the clinical spectrum of patients with 16p11.2 recurrent rearrangements in order to aid the counselling of patients and their families.

Coffin-Siris Syndrome 4 is an autosomal dominant congenital malformation syndrome caused by heterozygous mutations in the SMARCA4 gene with its main features being intellectual disability, developmental delay, behavioral abnormalities, and hypoplastic or absent fifth fingernails and fifth distal phalanges. Here, we report a young woman with developmental delay, moderate intellectual disability, and bilateral sensorineural hearing loss, referred for genetic testing. High-resolution chromosomal microarray analysis identified a 428-kb deletion in chromosome 19 which included the SMARCA4 gene. We conclude that haploinsufficiency of SMARCA4 may be a valid pathophysiological mechanism leading to milder Coffin-Siris syndrome phenotypes.

Chromosomal microarray analysis (CMA) is considered a first-tier test for patients with developmental disabilities and congenital anomalies and is also routinely applied in prenatal diagnosis. The current consensus size cut-off for reporting copy number variants (CNVs) in the prenatal setting ranges from 200 Kb to 400 Kb, with the intention of minimizing the impact of variants of uncertain significance (VUS). Very limited data are currently available on the application of higher resolution platforms prenatally. The aim of this study is to investigate the feasibility and impact of applying high-resolution CMA in the prenatal setting. To that end, we report on the outcomes of applying CMA with a size cut-off of 20 Kb in 250 prenatal samples and discuss the findings and diagnostic yield and also provide follow-up for cases with variants of uncertain significance. Overall, 19.6% (49) showed one or more chromosomal abnormalities, with the findings classified as Pathogenic (P) or Likely Pathogenic (LP) in 15.6% and as VUS in 4%. When excluding the cases with known familial aberrations, the diagnostic yield was 12%. The smallest aberration detected was a 32 Kb duplication of the 16p11.2 region. In conclusion, this study demonstrates that prenatal diagnosis with a high-resolution aCGH platform can reliably detect smaller CNVs that are often associated with neurodevelopmental phenotypes while providing an increased diagnostic yield, regardless of the indication for testing, with only a marginal increase in the VUS incidence. Thus, it can be an important tool in the prenatal setting.