| Title |
Array-CGH Analysis in a Cohort of Phenotypically Well-Characterized Individuals with “Essential” Autism Spectrum Disorders
|
|---|---|
| Published in |
Journal of Autism and Developmental Disorders, October 2017
|
| DOI | 10.1007/s10803-017-3329-4 |
| Pubmed ID | |
| Authors |
Eleonora Napoli, Serena Russo, Laura Casula, Viola Alesi, Filomena Alessandra Amendola, Adriano Angioni, Antonio Novelli, Giovanni Valeri, Deny Menghini, Stefano Vicari |
| Abstract |
Copy-number variants (CNVs) are associated with susceptibility to autism spectrum disorder (ASD). To detect the presence of CNVs, we conducted an array-comparative genomic hybridization (array-CGH) analysis in 133 children with "essential" ASD phenotype. Genetic analyses documented that 12 children had causative CNVs (C-CNVs), 29 children had non-causative CNVs (NC-CNVs) and 92 children without CNVs (W-CNVs). Results on clinical evaluation showed no differences in cognitive abilities among the three groups, and a higher number of ASD symptoms and of non-verbal children in the C-CNVs group compared to the W-CNVs and NC-CNVs groups. Our results highlighted the importance of the array-CGH analyses and showed that the presence of specific CNVs may differentiate clinical outputs in children with ASD. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 17% |
| Student > Master | 8 | 15% |
| Student > Bachelor | 6 | 12% |
| Student > Doctoral Student | 4 | 8% |
| Other | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 18 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 7 | 13% |
| Biochemistry, Genetics and Molecular Biology | 6 | 12% |
| Psychology | 6 | 12% |
| Medicine and Dentistry | 4 | 8% |
| Agricultural and Biological Sciences | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 21 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 October 2017.
All research outputs
#21,376,200
of 23,867,274 outputs
Outputs from Journal of Autism and Developmental Disorders
#4,711
of 5,240 outputs
Outputs of similar age
#287,460
of 327,785 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#110
of 130 outputs
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