BACKGROUND AND OBJECTIVES: Submicroscopic chromosomal rearrangements are the most common identifiable causes of intellectual disability and autism spectrum disorders associated with dysmorphic features. Chromosomal microarray (CMA) can detect copy number variants <1 Mb and identifies size and presence of known genes. The aim of this study was to demonstrate the usefulness of CMA, as a first-tier tool in detecting the etiology of unexplained intellectual disability/autism spectrum disorders (ID/ASDs) associated with dysmorphic features in a large cohort of pediatric patients. PATIENTS AND METHODS: We studied 349 individuals; 223 males, 126 females, aged 5 months-19 years. Blood samples were analyzed with CMA at a resolution ranging from 1 Mb to 40 Kb. The imbalance was confirmed by FISH or qPCR. We considered copy number variants (CNVs) causative if the variant was responsible for a known syndrome, encompassed gene/s of known function, occurred de novo or, if inherited, the parent was variably affected, and/or the involved gene/s had been reported in association with ID/ASDs in dedicated databases. RESULTS: 91 CNVs were detected in 77 (22.06%) patients: 5 (6.49%) of those presenting with borderline cognitive impairment, 54 (70.13%) with a variable degree of DD/ID, and 18/77 (23.38%) with ID of variable degree and ASDs. 16/77 (20.8%) patients had two different rearrangements. Deletions exceeded duplications (58 versus 33); 45.05% (41/91) of the detected CNVs were de novo, 45.05% (41/91) inherited, and 9.9% (9/91) unknown. The CNVs caused the phenotype in 57/77 (74%) patients; 12/57 (21.05%) had ASDs/ID, and 45/57 (78.95%) had DD/ID. CONCLUSIONS: Our study provides further evidence of the high diagnostic yield of CMA for genetic testing in children with unexplained ID/ASDs who had dysmorphic features. We confirm the value of CMA as the first-tier tool in the assessment of those conditions in the pediatric setting.
BACKGROUND AND OBJECTIVES: Submicroscopic chromosomal rearrangements are the most common identifiable causes of intellectual disability and autism spectrum disorders associated with dysmorphic features. Chromosomal microarray (CMA) can detect copy number variants <1 Mb and identifies size and presence of known genes. The aim of this study was to demonstrate the usefulness of CMA, as a first-tier tool in detecting the etiology of unexplained intellectual disability/autism spectrum disorders (ID/ASDs) associated with dysmorphic features in a large cohort of pediatric patients. PATIENTS AND METHODS: We studied 349 individuals; 223 males, 126 females, aged 5 months-19 years. Blood samples were analyzed with CMA at a resolution ranging from 1 Mb to 40 Kb. The imbalance was confirmed by FISH or qPCR. We considered copy number variants (CNVs) causative if the variant was responsible for a known syndrome, encompassed gene/s of known function, occurred de novo or, if inherited, the parent was variably affected, and/or the involved gene/s had been reported in association with ID/ASDs in dedicated databases. RESULTS: 91 CNVs were detected in 77 (22.06%) patients: 5 (6.49%) of those presenting with borderline cognitive impairment, 54 (70.13%) with a variable degree of DD/ID, and 18/77 (23.38%) with ID of variable degree and ASDs. 16/77 (20.8%) patients had two different rearrangements. Deletions exceeded duplications (58 versus 33); 45.05% (41/91) of the detected CNVs were de novo, 45.05% (41/91) inherited, and 9.9% (9/91) unknown. The CNVs caused the phenotype in 57/77 (74%) patients; 12/57 (21.05%) had ASDs/ID, and 45/57 (78.95%) had DD/ID. CONCLUSIONS: Our study provides further evidence of the high diagnostic yield of CMA for genetic testing in children with unexplained ID/ASDs who had dysmorphic features. We confirm the value of CMA as the first-tier tool in the assessment of those conditions in the pediatric setting.
Authors: Jennifer Reiner; Lisa Karger; Ninette Cohen; Lakshmi Mehta; Lisa Edelmann; Stuart A Scott Journal: J Mol Diagn Date: 2017-03-18 Impact factor: 5.568
Authors: Marian Reiff; Ellen Giarelli; Barbara A Bernhardt; Ebony Easley; Nancy B Spinner; Pamela L Sankar; Surabhi Mulchandani Journal: J Autism Dev Disord Date: 2015-10
Authors: Heather Olson; Yiping Shen; Jennifer Avallone; Beth R Sheidley; Rebecca Pinsky; Ann M Bergin; Gerard T Berry; Frank H Duffy; Yaman Eksioglu; David J Harris; Fuki M Hisama; Eugenia Ho; Mira Irons; Christina M Jacobsen; Philip James; Sanjeev Kothare; Omar Khwaja; Jonathan Lipton; Tobias Loddenkemper; Jennifer Markowitz; Kiran Maski; J Thomas Megerian; Edward Neilan; Peter C Raffalli; Michael Robbins; Amy Roberts; Eugene Roe; Caitlin Rollins; Mustafa Sahin; Dean Sarco; Alison Schonwald; Sharon E Smith; Janet Soul; Joan M Stoler; Masanori Takeoka; Wen-Han Tan; Alcy R Torres; Peter Tsai; David K Urion; Laura Weissman; Robert Wolff; Bai-Lin Wu; David T Miller; Annapurna Poduri Journal: Ann Neurol Date: 2014-06-13 Impact factor: 10.422