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Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants
Published on: February 21, 2015
Array-Based Comparative Genomic Hybridization Analysis in Children with Developmental Delay/Intellectual Disability
A Türkyılmaz1, B B Geckinli2, E Tekin3
1Department of Medical Genetics, Karadeniz Technical University Faculty of Medicine, Trabzon, Turkey.
Array-based comparative genomic hybridization (aCGH) significantly improves the diagnosis rate for developmental delay (DD) and intellectual disability (ID). This genetic testing method identifies copy number variations (CNVs), aiding in genotype-phenotype correlation for these complex conditions.
Area of Science:
- Genetics
- Developmental Biology
- Medical Diagnostics
Background:
- Developmental delay (DD) and intellectual disability (ID) are conditions affecting early childhood development, characterized by delayed milestones and impaired cognitive functions.
- These conditions exhibit significant genetic heterogeneity, complicating diagnosis through conventional methods.
- Array-based comparative genomic hybridization (aCGH) offers higher resolution for detecting genomic copy number variations (CNVs) compared to traditional cytogenetic techniques.
Purpose of the Study:
- To evaluate the clinical utility of aCGH in diagnosing isolated and syndromic DD/ID cases.
- To correlate identified genetic variations (CNVs) with observed clinical phenotypes.
- To determine the diagnostic yield of aCGH as a first-tier test for DD/ID.
Main Methods:
- Analysis of 139 pediatric cases (77 female, 62 male) diagnosed with DD/ID.
- Application of aCGH to detect CNVs across the genome.
- Clinical data collection for genotype-phenotype correlation.
Main Results:
- aCGH identified 38 distinct CNVs in 35 cases.
- Pathogenic CNVs were found in 13.6% of cases, and likely pathogenic CNVs in 3.5%, yielding an overall diagnostic rate of 17.1%.
- The study detected rare microdeletion/microduplication syndromes, contributing to genotype-phenotype correlation data.
Conclusions:
- aCGH is a highly effective first-tier diagnostic tool for DD/ID, significantly increasing diagnostic yields.
- The identification of specific CNVs aids in understanding the genetic basis of DD/ID and refining genotype-phenotype correlations.
- This approach facilitates the diagnosis of rare genetic syndromes, improving patient management and genetic counseling.
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