Bibliographic Details
| Title: |
The Use of CGH Arrays for Identifying Copy Number Variations in Children with Autism Spectrum Disorder. |
| Authors: |
Kucińska, Agata1 (AUTHOR) agata.kucinska@iczmp.edu.pl, Hawuła, Wanda1 (AUTHOR), Rutkowska, Lena1 (AUTHOR), Wysocka, Urszula1 (AUTHOR), Kępczyński, Łukasz1 (AUTHOR), Piotrowicz, Małgorzata1 (AUTHOR), Chilarska, Tatiana1 (AUTHOR), Wieczorek-Cichecka, Nina1 (AUTHOR), Połatyńska, Katarzyna2 (AUTHOR) lukasz.przyslo@iczmp.edu.pl, Przysło, Łukasz2 (AUTHOR), Gach, Agnieszka1 (AUTHOR) |
| Source: |
Brain Sciences (2076-3425). Mar2024, Vol. 14 Issue 3, p273. 15p. |
| Subject Terms: |
*CHILDREN with autism spectrum disorders, *COMMUNICATIVE disorders, *AUTISM spectrum disorders, *COMPARATIVE genomic hybridization, *DNA copy number variations |
| Abstract: |
Autism spectrum disorders (ASDs) encompass a broad group of neurodevelopmental disorders with varied clinical symptoms, all being characterized by deficits in social communication and repetitive behavior. Although the etiology of ASD is heterogeneous, with many genes involved, a crucial role is believed to be played by copy number variants (CNVs). The present study examines the role of copy number variation in the development of isolated ASD, or ASD with additional clinical features, among a group of 180 patients ranging in age from two years and four months to 17 years and nine months. Samples were taken and subjected to array-based comparative genomic hybridization (aCGH), the gold standard in detecting gains or losses in the genome, using a 4 × 180 CytoSure Autism Research Array, with a resolution of around 75 kb. The results indicated the presence of nine pathogenic and six likely pathogenic imbalances, and 20 variants of uncertain significance (VUSs) among the group. Relevant variants were more prevalent in patients with ASD and additional clinical features. Twelve of the detected variants, four of which were probably pathogenic, would not have been identified using the routine 8 × 60 k microarray. These results confirm the value of microarrays in ASD diagnostics and highlight the need for dedicated tools. [ABSTRACT FROM AUTHOR] |
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