Literature DB >> 26511719

The Diagnostic Yield of Array Comparative Genomic Hybridization Is High Regardless of Severity of Intellectual Disability/Developmental Delay in Children.

Stefano D'Arrigo1, Francesco Gavazzi2, Enrico Alfei2, Orsetta Zuffardi3, Cristina Montomoli4, Barbara Corso5, Erika Buzzi6, Francesca L Sciacca7, Sara Bulgheroni2, Daria Riva2, Chiara Pantaleoni2.   

Abstract

Microarray-based comparative genomic hybridization is a method of molecular analysis that identifies chromosomal anomalies (or copy number variants) that correlate with clinical phenotypes. The aim of the present study was to apply a clinical score previously designated by de Vries to 329 patients with intellectual disability/developmental disorder (intellectual disability/developmental delay) referred to our tertiary center and to see whether the clinical factors are associated with a positive outcome of aCGH analyses. Another goal was to test the association between a positive microarray-based comparative genomic hybridization result and the severity of intellectual disability/developmental delay. Microarray-based comparative genomic hybridization identified structural chromosomal alterations responsible for the intellectual disability/developmental delay phenotype in 16% of our sample. Our study showed that causative copy number variants are frequently found even in cases of mild intellectual disability (30.77%). We want to emphasize the need to conduct microarray-based comparative genomic hybridization on all individuals with intellectual disability/developmental delay, regardless of the severity, because the degree of intellectual disability/developmental delay does not predict the diagnostic yield of microarray-based comparative genomic hybridization.
© The Author(s) 2015.

Entities:  

Keywords:  array-CGH; developmental delay; intellectual disability

Mesh:

Year:  2015        PMID: 26511719     DOI: 10.1177/0883073815613562

Source DB:  PubMed          Journal:  J Child Neurol        ISSN: 0883-0738            Impact factor:   1.987


  11 in total

1.  Whole-genome sequencing analysis of CNV using low-coverage and paired-end strategies is efficient and outperforms array-based CNV analysis.

Authors:  Bo Zhou; Steve S Ho; Xianglong Zhang; Reenal Pattni; Rajini R Haraksingh; Alexander E Urban
Journal:  J Med Genet       Date:  2018-07-30       Impact factor: 6.318

2.  Diagnostic and Therapeutic Misconception: Parental Expectations and Perspectives Regarding Genetic Testing for Developmental Disorders.

Authors:  Isabelle Tremblay; Steffany Grondin; Anne-Marie Laberge; Dominique Cousineau; Lionel Carmant; Anita Rowan; Annie Janvier
Journal:  J Autism Dev Disord       Date:  2019-01

3.  Copy number variants prioritization after array-CGH analysis - a cohort of 1000 patients.

Authors:  Isabel Marques Carreira; Susana Isabel Ferreira; Eunice Matoso; Luís Miguel Pires; José Ferrão; Ana Jardim; Alexandra Mascarenhas; Marta Pinto; Nuno Lavoura; Cláudia Pais; Patrícia Paiva; Lúcia Simões; Francisco Caramelo; Lina Ramos; Margarida Venâncio; Fabiana Ramos; Ana Beleza; Joaquim Sá; Jorge Saraiva; Joana Barbosa de Melo
Journal:  Mol Cytogenet       Date:  2015-12-30       Impact factor: 2.009

4.  Application of array comparative genomic hybridization in Korean children under 6 years old with global developmental delay.

Authors:  Kyung Yeon Lee; Eunsim Shin
Journal:  Korean J Pediatr       Date:  2017-09-21

5.  Prematurity, ventricular septal defect and dysmorphisms are independent predictors of pathogenic copy number variants: a retrospective study on array-CGH results and phenotypical features of 293 children with neurodevelopmental disorders and/or multiple congenital anomalies.

Authors:  I Maini; I Ivanovski; O Djuric; S G Caraffi; E Errichiello; M Marinelli; F Franchi; V Bizzarri; S Rosato; M Pollazzon; C Gelmini; M Malacarne; C Fusco; G Gargano; S Bernasconi; O Zuffardi; L Garavelli
Journal:  Ital J Pediatr       Date:  2018-03-09       Impact factor: 2.638

6.  Chromosomal Microarray With Clinical Diagnostic Utility in Children With Developmental Delay or Intellectual Disability.

Authors:  Jin Sook Lee; Hee Hwang; Soo Yeon Kim; Ki Joong Kim; Jin Sun Choi; Mi Jung Woo; Young Min Choi; Jong Kwan Jun; Byung Chan Lim; Jong Hee Chae
Journal:  Ann Lab Med       Date:  2018-09       Impact factor: 3.464

7.  The clinical benefit of array-based comparative genomic hybridization for detection of copy number variants in Czech children with intellectual disability and developmental delay.

Authors:  Marketa Wayhelova; Jan Smetana; Vladimira Vallova; Eva Hladilkova; Hana Filkova; Marta Hanakova; Marcela Vilemova; Petra Nikolova; Barbora Gromesova; Renata Gaillyova; Petr Kuglik
Journal:  BMC Med Genomics       Date:  2019-07-23       Impact factor: 3.063

8.  Yield of comparative genomic hybridization microarray in pediatric neurology practice.

Authors:  Shibalik Misra; Greg Peters; Elizabeth Barnes; Simone Ardern-Holmes; Richard Webster; Christopher Troedson; Shekeeb S Mohammad; Deepak Gill; Manoj Menezes; Sachin Gupta; Peter Procopis; Jayne Antony; Manju A Kurian; Russell C Dale
Journal:  Neurol Genet       Date:  2019-10-23

9.  Testing single/combined clinical categories on 5110 Italian patients with developmental phenotypes to improve array-based detection rate.

Authors:  Ilaria Catusi; Maria Paola Recalcati; Ilaria Bestetti; Maria Garzo; Chiara Valtorta; Melissa Alfonsi; Alberta Alghisi; Stefania Cappellani; Rosario Casalone; Rossella Caselli; Caterina Ceccarini; Carlo Ceglia; Anna Maria Ciaschini; Domenico Coviello; Francesca Crosti; Annamaria D'Aprile; Antonella Fabretto; Rita Genesio; Marzia Giagnacovo; Paola Granata; Ilaria Longo; Michela Malacarne; Giuseppina Marseglia; Annamaria Montaldi; Anna Maria Nardone; Chiara Palka; Vanna Pecile; Chiara Pessina; Diana Postorivo; Serena Redaelli; Alessandra Renieri; Chiara Rigon; Fabiola Tiberi; Mariella Tonelli; Nicoletta Villa; Anna Zilio; Daniela Zuccarello; Antonio Novelli; Lidia Larizza; Daniela Giardino
Journal:  Mol Genet Genomic Med       Date:  2019-12-18       Impact factor: 2.183

10.  Microarray testing in clinical diagnosis: an analysis of 5,300 New Zealand patients.

Authors:  Adrian Mc Cormack; Karen Claxton; Fern Ashton; Philip Asquith; Edward Atack; Roberto Mazzaschi; Paula Moverley; Rachel O'Connor; Methat Qorri; Karen Sheath; Donald R Love; Alice M George
Journal:  Mol Cytogenet       Date:  2016-03-31       Impact factor: 2.009

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