학술논문

Predictive diagnostic value for the clinical features accompanying intellectual disability in children with pathogenic copy number variations: a multivariate analysis.
Document Type
Article
Source
Italian Journal of Pediatrics. 2014, Vol. 40 Issue 1, p3-14. 13p.
Subject
*DEVELOPMENTAL disabilities
*HUMAN abnormalities
*ACADEMIC medical centers
*CHI-squared test
*CONFIDENCE intervals
*CYTOGENETICS
*GENES
*PEOPLE with intellectual disabilities
*MULTIVARIATE analysis
*PHENOTYPES
*LOGISTIC regression analysis
*RETROSPECTIVE studies
*DATA analysis software
*ODDS ratio
*CHILDREN
*GENETICS
DIAGNOSIS of developmental disabilities
Language
ISSN
1720-8424
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. [ABSTRACT FROM AUTHOR]