Appropriateness of array-CGH in the ADHD clinics: A comparative study.
Marco BaccarinChiara PicinelliPasquale TomaiuoloPaola CastronovoAnna CostaMagda VerdecchiaChiara CannizzaroGiusi BarbieriRoberto SaccoAntonio M PersicoCarla LintasPublished in: Genes, brain, and behavior (2020)
Attention deficit hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorder with a worldwide prevalence of about 5%. The disorder is characterized by inattentive, hyperactive and impulsive behavior and is often comorbid with other neuropsychiatric conditions. Array comparative genomic hybridization (array-CGH) testing has been proved to be useful to detect chromosomal aberrations in several neuropsychiatric conditions including autism spectrum disorders (ASD) and intellectual disability (ID). The usefulness of array-CGH in the ADHD clinics is still debated and no conclusive evidence has been reached to date. We performed array-CGH in 98 children and adolescents divided in two similarly sized groups according to the clinical diagnosis: (a) one group diagnosed with ADHD as primary diagnosis; (b) the other group in which ADHD was co-morbid with ASD and/or ID. We detected pathogenetic and likely pathogenetic copy number variants (CNVs) in 12% subjects in which ADHD was co-morbid with autism and/or intellectual disability and in 8.5% subjects diagnosed with ADHD as primary diagnosis. Detection of CNVs of unknown clinical significance was similar in the two groups being 27% and 32%, respectively. Benign and likely benign CNVs accounted for 61% and 59.5% in the first and second group, respectively. Differences in the diagnostic yield were not statistically significant between the two groups (P > .05). Our data strongly suggest that array-CGH (a) is a valuable diagnostic tool to detect clinically significant CNVs in individuals with ADHD even in the absence of comorbidity with ASD and/or ID and (b) should be implemented routinely in the ADHD clinics.
Keyphrases
- attention deficit hyperactivity disorder
- autism spectrum disorder
- intellectual disability
- copy number
- high resolution
- high throughput
- mitochondrial dna
- primary care
- working memory
- genome wide
- high density
- machine learning
- bariatric surgery
- gene expression
- electronic health record
- quantum dots
- weight loss
- single cell
- sensitive detection