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Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants
Published on: February 21, 2015
Array-CGH analysis in Rwandan patients presenting development delay/intellectual disability with multiple congenital
Annette Uwineza, Jean-Hubert Caberg, Janvier Hitayezu
1Center for Medical Genetics, College of Medicine and Health Sciences, University of Rwanda, Huye, Rwanda. L.MUTESA@ur.ac.rw.
Copy number variations (CNVs) are a significant genetic cause of developmental delay and congenital malformations in East Africa. This study highlights the need for genetic testing in the region.
Area of Science:
- Genetics
- Medical Genetics
- Genomic Medicine
Background:
- Array comparative genomic hybridization (Array-CGH) is a primary method for detecting copy number variations (CNVs).
- Limited data exists on the genetic causes of developmental delay/intellectual disability and congenital malformations in East Africa.
- Congenital abnormalities and developmental disorders are significant health concerns globally.
Purpose of the Study:
- To investigate the genetic etiology of developmental delay/intellectual disability and congenital malformations in Rwandan patients using Array-CGH.
- To determine the prevalence and spectrum of copy number variations in this patient cohort.
- To assess the utility of genetic testing in East African populations.
Main Methods:
- Array comparative genomic hybridization (Array-CGH) was performed on 50 Rwandan patients.
- The Agilent 180K microarray platform was utilized for high-resolution analysis.
- Patients presented with a combination of global development delay, intellectual disability, and multiple congenital abnormalities.
Main Results:
- 28% of patients had global development delay, and 72% had intellectual disability.
- Clinically significant copy number variations (CNVs) were identified in 26% of patients (13 out of 50).
- CNVs ranged from 0.9 Mb to 34 Mb, with 6 patients having CNVs linked to known syndromes and 7 presenting rare genomic imbalances.
Conclusions:
- Copy number variations (CNVs) are a relevant genetic factor in the East African population.
- The findings underscore the importance of implementing genetic testing services in East African countries.
- Array-CGH is a valuable tool for diagnosing genetic disorders in diverse populations.
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