Predictive diagnostic value for the clinical features accompanying intellectual disability in children with pathogenic copy number variations: A multivariate analysis

Elisa Caramaschi, Ilaria Stanghellini, Pamela Magini, Maria Grazia Giuffrida, Silvia Scullin, Tiziana Giuva, Patrizia Bergonzini, Azzurra Guerra, Paolo Paolucci, Antonio Percesepe

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Background: Array comparative genomic hybridization (a-CGH) has become the first-tier investigation in patients with unexplained developmental delay/intellectual disability (DD/ID). Although the costs are progressively decreasing, a-CGH is still an expensive and labour-intensive technique: for this reason a definition of the categories of patients that can benefit the most of the analysis is needed. Aim of the study was to retrospectively analyze the clinical features of children with DD/ID attending the outpatient clinic of the Mother & Child Department of the University Hospital of Modena subjected to a-CGH, to verify by uni- and multivariate analysis the independent predictors of pathogenic CNVs. Methods. 116 patients were included in the study. Data relative to the CNVs and to the patients' clinical features were analyzed for genotype/phenotype correlations. Results and conclusions. 27 patients (23.3%) presented pathogenic CNVs (21 deletions, 3 duplications and 3 cases with both duplications and deletions). Univariate analysis showed a significant association of the pathogenic CNVs with the early onset of symptoms (before 1 yr of age) and the presence of malformations and dysmorphisms. Logistic regression analysis showed a significant independent predictive value for diagnosing a pathogenic CNV for malformations (P = 0.002) and dysmorphisms (P = 0.023), suggesting that those features should address a-CGH analysis as a high-priority test for diagnosis.

Original languageEnglish
Article number39
JournalItalian Journal of Pediatrics
Volume40
Issue number1
DOIs
Publication statusPublished - Apr 28 2014

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Intellectual Disability
Comparative Genomic Hybridization
Multivariate Analysis
Genetic Association Studies
Ambulatory Care Facilities
Logistic Models
Regression Analysis
Mothers
Costs and Cost Analysis

Keywords

  • Array CGH
  • CNVs
  • Developmental delay/intellectual disability
  • Malformations
  • Multivariate analysis

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health

Cite this

Predictive diagnostic value for the clinical features accompanying intellectual disability in children with pathogenic copy number variations : A multivariate analysis. / Caramaschi, Elisa; Stanghellini, Ilaria; Magini, Pamela; Giuffrida, Maria Grazia; Scullin, Silvia; Giuva, Tiziana; Bergonzini, Patrizia; Guerra, Azzurra; Paolucci, Paolo; Percesepe, Antonio.

In: Italian Journal of Pediatrics, Vol. 40, No. 1, 39, 28.04.2014.

Research output: Contribution to journalArticle

Caramaschi, E, Stanghellini, I, Magini, P, Giuffrida, MG, Scullin, S, Giuva, T, Bergonzini, P, Guerra, A, Paolucci, P & Percesepe, A 2014, 'Predictive diagnostic value for the clinical features accompanying intellectual disability in children with pathogenic copy number variations: A multivariate analysis', Italian Journal of Pediatrics, vol. 40, no. 1, 39. https://doi.org/10.1186/1824-7288-40-39
Caramaschi, Elisa ; Stanghellini, Ilaria ; Magini, Pamela ; Giuffrida, Maria Grazia ; Scullin, Silvia ; Giuva, Tiziana ; Bergonzini, Patrizia ; Guerra, Azzurra ; Paolucci, Paolo ; Percesepe, Antonio. / Predictive diagnostic value for the clinical features accompanying intellectual disability in children with pathogenic copy number variations : A multivariate analysis. In: Italian Journal of Pediatrics. 2014 ; Vol. 40, No. 1.
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AB - Background: Array comparative genomic hybridization (a-CGH) has become the first-tier investigation in patients with unexplained developmental delay/intellectual disability (DD/ID). Although the costs are progressively decreasing, a-CGH is still an expensive and labour-intensive technique: for this reason a definition of the categories of patients that can benefit the most of the analysis is needed. Aim of the study was to retrospectively analyze the clinical features of children with DD/ID attending the outpatient clinic of the Mother & Child Department of the University Hospital of Modena subjected to a-CGH, to verify by uni- and multivariate analysis the independent predictors of pathogenic CNVs. Methods. 116 patients were included in the study. Data relative to the CNVs and to the patients' clinical features were analyzed for genotype/phenotype correlations. Results and conclusions. 27 patients (23.3%) presented pathogenic CNVs (21 deletions, 3 duplications and 3 cases with both duplications and deletions). Univariate analysis showed a significant association of the pathogenic CNVs with the early onset of symptoms (before 1 yr of age) and the presence of malformations and dysmorphisms. Logistic regression analysis showed a significant independent predictive value for diagnosing a pathogenic CNV for malformations (P = 0.002) and dysmorphisms (P = 0.023), suggesting that those features should address a-CGH analysis as a high-priority test for diagnosis.

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