High Prevalence of Pathologic Copy Number Variations Detected by Array Comparative Genomic Hybridization in Children with Autism Spectrum Disorders: The Experience of Southern Switzerland

2015 ◽  
Vol 46 (S 01) ◽  
Author(s):  
G. Pellanda ◽  
S. Lava ◽  
A. Ferrarini ◽  
G. Ramelli
2019 ◽  
Vol 50 (06) ◽  
pp. 367-377
Author(s):  
S. Monteiro ◽  
J. Pinto ◽  
A. Mira Coelho ◽  
M. Leão ◽  
S. Dória

Background Autism spectrum disorders (ASD) affect many children with an estimated prevalence of 1%. Array-comparative genomic hybridization (CGH) offers significant sensitivity for the identification of submicroscopic chromosomal abnormalities and it is one of the most used techniques in daily practice. The main objective of this study was to describe the usefulness of array-CGH in the etiologic diagnosis of ASD. Methods Two-hundred fifty-three patients admitted to a neurogenetic outpatient clinic and diagnosed with ASD were selected for array-CGH (4 × 180K microarrays). Public databases were used for classification in accordance with the American College of Medical Genetics Standards and Guidelines. Results About 3.56% (9/253) of copy number variations (CNVs) were classified as pathogenic. When likely pathogenic CNVs were considered, the rate increased to 11.46% (29/253). Some CNVs apparently not correlated to the ASD were also found. Considering a phenotype–genotype correlation, the patients were divided in two groups. One group according to previous literature includes all the CNVs related to ASDs (23 CNVs present in 22 children) and another with those apparently not related to ASD (10 CNVs present in 7 children). In 18 patients, a next-generation sequencing (NGS) panel were performed. From these, one pathogenic and 16 uncertain significance variants were identified. Conclusion The results of our study are in accordance with the literature, highlighting the relevance of array-CGH in the genetic of diagnosis of ASD population, namely when associated with other features. Our study also reinforces the need for complementarity between array-CGH and NGS panels or whole exome sequencing in the etiological diagnosis of ASD.


2016 ◽  
Vol 89 (6) ◽  
pp. 708-718 ◽  
Author(s):  
V. Oikonomakis ◽  
K. Kosma ◽  
A. Mitrakos ◽  
C. Sofocleous ◽  
P. Pervanidou ◽  
...  

2020 ◽  
Vol 34 (2) ◽  
Author(s):  
Lei Xu ◽  
Jo Anne Balanay

Environmental factors have been increasingly identi ed as the cause of the current high prevalence of autism spectrum disorders (ASD). Objective: The purpose of this study is to understand parents’ perceptions regarding environmental in uence and autism. Methods: We conducted individual, face-to-face interviews with parents of children with ASD in Eastern North Carolina. Results: Our sample is comprised of 25 parents of children with autism with an average age of 39.08 and 68% were mothers. Our data indicated that 19 (76%) parents believed that environmental factors impacted the development of their children’s autism, half of whom indicated >50% of influence. Among these environmental triggers, food and water (52%), air pollution (40%), pesticides and cleaning products (20%) were the most identied contributing factors associated with the onset of autism. Conclusions: Our findings reflected some unmet needs to improve parental awareness of environmental triggers of ASD.


2019 ◽  
Vol 10 (1) ◽  
Author(s):  
L. D’Abate ◽  
S. Walker ◽  
R. K. C. Yuen ◽  
K. Tammimies ◽  
J. A. Buchanan ◽  
...  

AbstractIdentification of genetic biomarkers associated with autism spectrum disorders (ASDs) could improve recurrence prediction for families with a child with ASD. Here, we describe clinical microarray findings for 253 longitudinally phenotyped ASD families from the Baby Siblings Research Consortium (BSRC), encompassing 288 infant siblings. By age 3, 103 siblings (35.8%) were diagnosed with ASD and 54 (18.8%) were developing atypically. Thirteen siblings have copy number variants (CNVs) involving ASD-relevant genes: 6 with ASD, 5 atypically developing, and 2 typically developing. Within these families, an ASD-related CNV in a sibling has a positive predictive value (PPV) for ASD or atypical development of 0.83; the Simons Simplex Collection of ASD families shows similar PPVs. Polygenic risk analyses suggest that common genetic variants may also contribute to ASD. CNV findings would have been pre-symptomatically predictive of ASD or atypical development in 11 (7%) of the 157 BSRC siblings who were eventually diagnosed clinically.


2010 ◽  
Vol 12 (11) ◽  
pp. 694-702 ◽  
Author(s):  
Jill A Rosenfeld ◽  
Blake C Ballif ◽  
Beth S Torchia ◽  
Trilochan Sahoo ◽  
J Britt Ravnan ◽  
...  

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