Yield of comparative genomic hybridization microarray in pediatric neurology practice.

Neurol Genet

Kids Neuroscience Centre (S.M., R.D.), the Children's Hospital at Westmead, Faculty of Medicine and Health, the University of Sydney; Department of Clinical Genetics (G.P.) at the Children's Hospital at Westmead; Kids Research Institute at Westmead (E.B.); TY Nelson Department of Neurology and Neurosurgery at the Children's Hospital at Westmead Sydney (S.A.-H., R.W., C.T., S.S.M., D.G., M.M., S.G., P.P., J.A., R.C.D.), New South Wales, Australia; and Institute of Child Health (M.K.), University College London, UK.

Published: December 2019

Objective: The present study investigated the diagnostic yield of array comparative genomic hybridization (aCGH) in a large cohort of children with diverse neurologic disorders as seen in child neurology practice to test whether pathogenic copy number variants (CNVs) were more likely to be detected in specific neurologic phenotypes.

Methods: A retrospective cross-sectional analysis was performed on 555 children in whom a genetic etiology was suspected and who underwent whole-genome aCGH testing between 2006 and 2012. Neurologic phenotyping was performed using hospital medical records. An assessment of pathogenicity was made for each CNV, based on recent developments in the literature.

Results: Forty-seven patients were found to carry a pathogenic CNV, giving an overall diagnostic yield of 8.59%. Certain phenotypes predicted for the presence of a pathogenic CNV, including developmental delay (odds ratio [OR] 3.69 [1.30-10.51]), cortical visual impairment (OR 2.73 [1.18-6.28]), dysmorphism (OR 2.75 [1.38-5.50]), and microcephaly (OR 2.16 [1.01-4.61]). The combination of developmental delay/intellectual disability with dysmorphism and abnormal head circumference was also predictive for a pathogenic CNV (OR 2.86 [1.02-8.00]). For every additional clinical feature, there was an increased likelihood of detecting a pathogenic CNV (OR 1.18 [1.01-1.38]).

Conclusions: The use of aCGH led to a pathogenic finding in 8.59% of patients. The results support the use of aCGH as a first tier investigation in children with diverse neurologic disorders, although whole-genome sequencing may replace aCGH as the detection method in the future. In particular, the yield was increased in children with developmental delay, dysmorphism, cortical visual impairment, and microcephaly.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6878849PMC
http://dx.doi.org/10.1212/NXG.0000000000000367DOI Listing

Publication Analysis

Top Keywords

pathogenic cnv
16
comparative genomic
8
genomic hybridization
8
neurology practice
8
diagnostic yield
8
children diverse
8
diverse neurologic
8
neurologic disorders
8
developmental delay
8
cortical visual
8

Similar Publications

In this article, we present a case study of a five-year-old girl with autism and developmental delay, conducted at the Academic Center for Autism Research in Bratislava, Slovakia. The girl was diagnosed using Autism Diagnostic Observation Schedule-Second Edition (ADOS-2) and Autism Diagnostic Interview-Revised (ADI-R) instruments and met the criteria for autism spectrum disorder. Intellectual functioning was in the markedly below-average range, as indicated by the Snijders-Oomen Nonverbal Intelligence Test-Revised (SON-R) examination, and her level of adaptive functioning was significantly reduced.

View Article and Find Full Text PDF

Role of copy number variation analysis in prenatally diagnosed Blake's pouch cyst.

BMC Pregnancy Childbirth

December 2024

Department of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Maternal and Child Health Care Hospital, Beijing, 100026, China.

Background: Blake's pouch cyst (BPC) is a midline cystic anomaly of the posterior fossa. BPC has been shown to have a risk of aneuploidy prenatally. Copy number variation (CNV) and/or genetic syndromes have been reported in a few prenatal/postnatal cases with BPC.

View Article and Find Full Text PDF

UniVar: A variant interpretation platform enhancing rare disease diagnosis through robust filtering and unified analysis of SNV, INDEL, CNV and SV.

Comput Biol Med

December 2024

Hong Kong Genome Institute, Hong Kong Science Park, Shatin, Hong Kong, China; Department of Chemical Pathology, The Chinese University of Hong Kong, Hong Kong, China; Laboratory of Computational Genomics, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China. Electronic address:

Background: Interpreting the pathogenicity of genetic variants associated with rare diseases is a laborious and time-consuming endeavour. To streamline the diagnostic process and lighten the burden of variant interpretation, it is crucial to automate variant annotation and prioritization. Unfortunately, currently available variant interpretation tools lack a unified and comprehensive workflow that can collectively assess the clinical significance of these types of variants together: small nucleotide variants (SNVs), small insertions/deletions (INDELs), copy number variants (CNVs) and structural variants (SVs).

View Article and Find Full Text PDF

Background: Frontotemporal lobar degeneration (FTLD) is one of the leading causes of early onset dementia. Pathogenic variants in GRN have been reported to cause 5-25% of familial and 5% of sporadic FTLD. Here, we present two novel, likely pathogenic variants in GRN.

View Article and Find Full Text PDF

Purpose: Structural variants such as multiexon deletions and duplications are an important cause of disease but are often overlooked in standard exome/genome sequencing analysis. We aimed to evaluate the detection of copy-number variants (CNVs) from exome sequencing (ES) in comparison with genome-wide low-resolution and exon-resolution chromosomal microarrays (CMAs) and to characterize the properties of de novo CNVs in a large clinical cohort.

Methods: We performed CNV detection using ES of 9859 parent-offspring trios in the Deciphering Developmental Disorders (DDD) study and compared them with CNVs detected from exon-resolution array comparative genomic hybridization in 5197 probands from the DDD study.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!