Literature DB >> 32920771

Implementation of chromosomal microarrays in a cohort of patients with intellectual disability at the Argentinean public health system.

Lucía Daniela Espeche1, Andrea Paula Solari1, María Ángeles Mori2,3,4, Rubén Martín Arenas2,3,4, María Palomares2,3,4, Myriam Pérez1, Cinthia Martínez1, Vanesa Lotersztein1, Mabel Segovia1, Romina Armando5, Liliana Beatriz Dain1, Julián Nevado2,3,4, Pablo Lapunzina2,3,4, Sandra Rozental6.   

Abstract

Intellectual disability is a neurodevelopmental disorder in which genetic, epigenetic and environmental factors are involved. In consequence, the determination of its etiology is usually complex. Though many countries have migrated from conventional cytogenetic analysis to chromosomal microarrays as the first-tier genetic test for patients with this condition, this last technique was implemented in our country a few years ago. We report on the results of the implementation of chromosomal microarrays in a cohort of 133 patients with intellectual disability and dysmorphic features, normal karyotype and normal subtelomeric MLPA results in an Argentinean public health institution. Clinically relevant copy number variants were found in 12% of the patients and one or more copy number variants classified as variants of uncertain significance were found in 5.3% of them. Although the diagnostic yield of chromosomal microarrays is greater than conventional cytogenetics for these patients, there are financial limitations to adopt this technique as a first-tier test in our country, especially in the public health system.

Entities:  

Keywords:  CMA; CNV; Chromosomal microarray; Intellectual disability; arrayCGH

Mesh:

Year:  2020        PMID: 32920771     DOI: 10.1007/s11033-020-05743-6

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  45 in total

Review 1.  Genomic microarrays in mental retardation: from copy number variation to gene, from research to diagnosis.

Authors:  Lisenka E L M Vissers; Bert B A de Vries; Joris A Veltman
Journal:  J Med Genet       Date:  2009-11-30       Impact factor: 6.318

Review 2.  Chromosomal Microarrays: Understanding Genetics of Neurodevelopmental Disorders and Congenital Anomalies.

Authors:  Jill A Rosenfeld; Ankita Patel
Journal:  J Pediatr Genet       Date:  2016-05-30

3.  A parallel study of different array-CGH platforms in a set of Spanish patients with developmental delay and intellectual disability.

Authors:  Laia Rodríguez-Revenga; Elena Vallespín; Irene Madrigal; María Palomares; Antonio Mur; Sixto García-Miñaur; Fernando Santos; M Ángeles Mori; Pablo Lapunzina; Montserrat Mila; Julián Nevado
Journal:  Gene       Date:  2013-03-19       Impact factor: 3.688

Review 4.  Consensus statement: chromosomal microarray is a first-tier clinical diagnostic test for individuals with developmental disabilities or congenital anomalies.

Authors:  David T Miller; Margaret P Adam; Swaroop Aradhya; Leslie G Biesecker; Arthur R Brothman; Nigel P Carter; Deanna M Church; John A Crolla; Evan E Eichler; Charles J Epstein; W Andrew Faucett; Lars Feuk; Jan M Friedman; Ada Hamosh; Laird Jackson; Erin B Kaminsky; Klaas Kok; Ian D Krantz; Robert M Kuhn; Charles Lee; James M Ostell; Carla Rosenberg; Stephen W Scherer; Nancy B Spinner; Dimitri J Stavropoulos; James H Tepperberg; Erik C Thorland; Joris R Vermeesch; Darrel J Waggoner; Michael S Watson; Christa Lese Martin; David H Ledbetter
Journal:  Am J Hum Genet       Date:  2010-05-14       Impact factor: 11.025

5.  American College of Medical Genetics standards and guidelines for interpretation and reporting of postnatal constitutional copy number variants.

Authors:  Hutton M Kearney; Erik C Thorland; Kerry K Brown; Fabiola Quintero-Rivera; Sarah T South
Journal:  Genet Med       Date:  2011-07       Impact factor: 8.822

6.  The utility of chromosomal microarray analysis in developmental and behavioral pediatrics.

Authors:  Arthur L Beaudet
Journal:  Child Dev       Date:  2013-01-11

7.  Variation in the influence of selected sociodemographic risk factors for mental retardation.

Authors:  C D Drews; M Yeargin-Allsopp; P Decouflé; C C Murphy
Journal:  Am J Public Health       Date:  1995-03       Impact factor: 9.308

8.  Triplication of 16p12.1p12.3 associated with developmental and growth delay and distinctive facial features.

Authors:  Graeme A M Nimmo; Andrea Guerin; Ramses Badilla-Porras; Dimitri J Stavropoulos; Grace Yoon; Melissa T Carter
Journal:  Am J Med Genet A       Date:  2015-12-08       Impact factor: 2.802

9.  The genetic basis of non-syndromic intellectual disability: a review.

Authors:  Liana Kaufman; Muhammad Ayub; John B Vincent
Journal:  J Neurodev Disord       Date:  2010-07-29       Impact factor: 4.025

10.  Technical standards for the interpretation and reporting of constitutional copy-number variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics (ACMG) and the Clinical Genome Resource (ClinGen).

Authors:  Erin Rooney Riggs; Erica F Andersen; Athena M Cherry; Sibel Kantarci; Hutton Kearney; Ankita Patel; Gordana Raca; Deborah I Ritter; Sarah T South; Erik C Thorland; Daniel Pineda-Alvarez; Swaroop Aradhya; Christa Lese Martin
Journal:  Genet Med       Date:  2019-11-06       Impact factor: 8.822

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  1 in total

1.  Genetic Analysis Algorithm for the Study of Patients with Multiple Congenital Anomalies and Isolated Congenital Heart Disease.

Authors:  Marisol Delea; Lucia S Massara; Lucia D Espeche; María Paz Bidondo; Pablo Barbero; Jaen Oliveri; Paloma Brun; Mónica Fabro; Micaela Galain; Cecilia S Fernández; Melisa Taboas; Carlos D Bruque; Jorge E Kolomenski; Agustín Izquierdo; Ariel Berenstein; Viviana Cosentino; Celeste Martinoli; Mariana Vilas; Mónica Rittler; Rodrigo Mendez; Lilian Furforo; Rosa Liascovich; Boris Groisman; Sandra Rozental; Liliana Dain
Journal:  Genes (Basel)       Date:  2022-06-29       Impact factor: 4.141

  1 in total

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