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Updated: Mar 1, 2026

Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants
Published on: February 21, 2015
Genomic diagnosis for children with intellectual disability and/or developmental delay
Kevin M Bowling1, Michelle L Thompson1, Michelle D Amaral1
1HudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, AL, 35806, USA.
Genomic sequencing, particularly whole-genome sequencing (WGS) in families, aids in diagnosing developmental disabilities. Reanalysis of genetic data improves diagnostic yield for rare pediatric neurological diseases.
Area of Science:
- Genetics
- Genomics
- Developmental Biology
Background:
- Developmental disabilities stem from diverse genetic origins requiring precise identification for accurate diagnosis.
- Genomic data from 371 individuals with developmental disabilities were analyzed, including 309 proband-parent trios.
Purpose of the Study:
- To identify genetic causes of developmental disabilities.
- To evaluate the effectiveness of large-scale sequencing, including whole-genome sequencing (WGS), as a diagnostic tool.
- To improve the interpretation and reclassification of genetic variants.
Main Methods:
- Whole-exome sequencing (WES) was performed on 365 individuals (127 affected).
- Whole-genome sequencing (WGS) was performed on 612 individuals (244 affected).
- Systematic reanalysis of genetic variants was conducted to improve interpretation.
Main Results:
- Pathogenic or likely pathogenic variants were identified in 27% of cases (100 individuals).
- Variants of uncertain significance (VUS) were found in an additional 11.3% (42 individuals).
- Reanalysis led to reclassification of 15 variants, improving diagnostic yield for families with initially negative or VUS results.
Conclusions:
- Large-scale sequencing, especially WGS in proband-parent trios, is a valuable diagnostic tool for pediatric neurological diseases.
- Ongoing reanalysis and data sharing are crucial for advancing genetic understanding and diagnosis.
- This study highlights the importance of genomic data for both clinical diagnosis and research progress.
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