Copy Number Variation Analysis Increases the Number of Candidate Loci Associated with Pediatric Obesity

• Published in: Hormone research in paediatrics Vol. 94; no. 7-8; p. 251
• Main Authors: Madeo, Simona Filomena, Stanghellini, Ilaria, Predieri, Barbara, Ciancia, Silvia, Leo, Francesco, Bruzzi, Patrizia, Calabrese, Olga, Iughetti, Lorenzo
• Format: Journal Article
• Language: English
• Published: Switzerland 2021
• Subjects: Adolescent; Child; Chromosome Aberrations; DNA Copy Number Variations - genetics; Female; Genetic Testing; Humans; Intellectual Disability - genetics; Mutation; Pediatric Obesity - genetics; Array-CGH; Obesity; Copy number variation; Children; Adolescents
• ISSN: 1663-2826
• DOI: 10.1159/000519299

Obesity is a multifactorial disease caused by the interaction of genetic, environmental, and behavioral factors. Currently, only a small number of obese children undergo genetic analysis, usually when obesity is associated with dysmorphic features. The aim of this study was to identify genomic rearrangement causing obesity. We analyzed the DNA of children and adolescents by single-nucleotide polymorphism-array (platform CytoScan HD, Affymetrix). Patients included in this study were obese with dysmorphic features and/or intellectual disabilities and/or neuropsychomotor signs. Ninety-four children and adolescents with obesity (9.25 ± 4.04 years old, 60 males) were enrolled in the study. Dysmorphic features were found in 64 out of 94 subjects (68.1%), intellectual disability was found in 23 subjects (24.5%), and other neuropsychomotor signs in 31 (32.9%). Copy number variations (CNVs) were identified in 43 out of 94 patients (45.7%): among these 14 subjects showed at least 1 deletion, 22 duplication, whereas 7 patients showed both deletion and duplication. In 20 subjects (13 males), CNVs were linked or possibly related with obesity; in 23 subjects, this correlation cannot be inferred. A genetic origin of obesity was detected in about half of our obese children and adolescents with associated dysmorphic features and/or intellectual disability and/or neuropsychomotor signs. In these children, array-CGH analysis can be useful to identify causative genetic mutations, with consequent advantage in therapeutic management and follow-up of these patients.