AIM: Despite advances in medical investigation, many children with neurological conditions remain without a diagnosis, although a genetic aetiology is often suspected. Chromosomal microarray (CMA) screens for copy number variants (CNVs) and long continuous stretches of homozygosity (LCSH) and may further enhance diagnostic yield. Although recent studies have identified pathogenic CNVs in intellectual disability, autism and epilepsy, the utility of CMA testing in a broader cohort of children with neurologic disorders has not been reported. METHODS: Two hundred fifteen patients with neurological conditions of unknown aetiology were seen over a 6-month period and were prospectively tested by CMA using high-resolution single nucleotide polymorphism (SNP) microarrays (Illumina HumanCytoSNP-12 v2.1 or Affymetrix 2.7M). RESULTS: Thirty of 215 (14%) patients tested had an abnormal CMA. Twenty-nine had CNVs (13%) and one (0.5%) a clinically significant stretch of homozygosity. Twenty (9.3%) had a CMA finding considered to be pathogenic or involved in susceptibility to the condition of interest, and 10 (4.7%) had findings of unknown significance. Their phenotypes included infantile spasms and other epilepsies, neuromuscular conditions, ataxia, movement disorders, microcephaly and malformations of cortical development. At least one third of patients did not meet national funding criteria for CMA at the time of presentation. CONCLUSIONS: CMA detected clinically significant abnormalities in a broad range of neurologic phenotypes of unknown aetiology. This test should be considered a first-tier investigation of children with neurologic disorders in whom the initial clinical assessment does not indicate a likely aetiology, especially those with severe epilepsies and neurologically abnormal neonates.
AIM: Despite advances in medical investigation, many children with neurological conditions remain without a diagnosis, although a genetic aetiology is often suspected. Chromosomal microarray (CMA) screens for copy number variants (CNVs) and long continuous stretches of homozygosity (LCSH) and may further enhance diagnostic yield. Although recent studies have identified pathogenic CNVs in intellectual disability, autism and epilepsy, the utility of CMA testing in a broader cohort of children with neurologic disorders has not been reported. METHODS: Two hundred fifteen patients with neurological conditions of unknown aetiology were seen over a 6-month period and were prospectively tested by CMA using high-resolution single nucleotide polymorphism (SNP) microarrays (Illumina HumanCytoSNP-12 v2.1 or Affymetrix 2.7M). RESULTS: Thirty of 215 (14%) patients tested had an abnormal CMA. Twenty-nine had CNVs (13%) and one (0.5%) a clinically significant stretch of homozygosity. Twenty (9.3%) had a CMA finding considered to be pathogenic or involved in susceptibility to the condition of interest, and 10 (4.7%) had findings of unknown significance. Their phenotypes included infantile spasms and other epilepsies, neuromuscular conditions, ataxia, movement disorders, microcephaly and malformations of cortical development. At least one third of patients did not meet national funding criteria for CMA at the time of presentation. CONCLUSIONS: CMA detected clinically significant abnormalities in a broad range of neurologic phenotypes of unknown aetiology. This test should be considered a first-tier investigation of children with neurologic disorders in whom the initial clinical assessment does not indicate a likely aetiology, especially those with severe epilepsies and neurologically abnormal neonates.
Authors: Olga Zilina; Rita Teek; Pille Tammur; Kati Kuuse; Maria Yakoreva; Eve Vaidla; Triin Mölter-Väär; Tiia Reimand; Ants Kurg; Katrin Ounap Journal: Mol Genet Genomic Med Date: 2014-01-09 Impact factor: 2.183
Authors: Rodrigo Roncato Pereira; Irene Plaza Pinto; Lysa Bernardes Minasi; Aldaires Vieira de Melo; Damiana Mirian da Cruz e Cunha; Alex Silva Cruz; Cristiano Luiz Ribeiro; Cláudio Carlos da Silva; Daniela de Melo e Silva; Aparecido Divino da Cruz Journal: PLoS One Date: 2014-07-25 Impact factor: 3.240
Authors: Karen S Ho; Hope Twede; Rena Vanzo; Erin Harward; Charles H Hensel; Megan M Martin; Stephanie Page; Andreas Peiffer; Patricia Mowery-Rushton; Moises Serrano; E Robert Wassman Journal: Biomed Res Int Date: 2016-11-16 Impact factor: 3.411
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
Authors: Namrata Singh; Pamela Traisak; Kayla A Martin; Mariana J Kaplan; Philip L Cohen; Michael F Denny Journal: Arthritis Res Ther Date: 2014-08-08 Impact factor: 5.156
Authors: Karen S Ho; E Robert Wassman; Adrianne L Baxter; Charles H Hensel; Megan M Martin; Aparna Prasad; Hope Twede; Rena J Vanzo; Merlin G Butler Journal: Int J Mol Sci Date: 2016-12-09 Impact factor: 5.923