Neurodevelopmental Disorders and Array-Based Comparative Genomic Hybridization: Sensitivity and Specificity using a...

Area of Science:

• Genetics
• Genomics
• Medical Diagnostics

Background:

• Array-based comparative genomic hybridization (aCGH) detects chromosomal anomalies and copy number variants (CNVs).
• Identifying CNVs is crucial for understanding clinical phenotypes and genetic disorders.

Purpose of the Study:

• To identify key clinical variables predicting a positive aCGH outcome.
• To develop a simple predictive clinical score for aCGH analysis.

Main Methods:

• A cross-sectional study compared genotype and phenotype in a tertiary center.
• Multivariate logistic regression was used to develop a predictive score.
• Receiver operating characteristic (ROC) curve analysis determined score performance.

Main Results:

• aCGH identified pathogenic copy number variants (CNVs) in 13.7% of 570 patients.
• A checklist of phenotypic features (e.g., cranial perimeter alteration, growth deficits, malformations, dysmorphic features, autism spectrum disorder) was developed.
• A score cutoff of ≥1.5 yielded 82.4% sensitivity and 54.2% specificity for detecting pathogenic CNVs.

Conclusions:

• Individuals scoring ≥1.5 should undergo aCGH genetic screening.
• This score can refine clinical indications for aCGH in neurodevelopmental disorders.
• External validation of the scoring system is recommended.