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Glessner JT, Khan ME, Chang X, Liu Y, Otieno FG, Lemma M, Slaby I, Hain H, Mentch F, Li J, Kao C, Sleiman PMA, March ME, Connolly J, Hakonarson H. Rare recurrent copy number variations in metabotropic glutamate receptor interacting genes in children with neurodevelopmental disorders. J Neurodev Disord 2023; 15:14. [PMID: 37120522 PMCID: PMC10148449 DOI: 10.1186/s11689-023-09483-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 04/06/2023] [Indexed: 05/01/2023] Open
Abstract
BACKGROUND Neurodevelopmental disorders (NDDs), such as attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), are examples of complex and partially overlapping phenotypes that often lack definitive corroborating genetic information. ADHD and ASD have complex genetic associations implicated by rare recurrent copy number variations (CNVs). Both of these NDDs have been shown to share similar biological etiologies as well as genetic pleiotropy. METHODS Platforms aimed at investigating genetic-based associations, such as high-density microarray technologies, have been groundbreaking techniques in the field of complex diseases, aimed at elucidating the underlying disease biology. Previous studies have uncovered CNVs associated with genes within shared candidate genomic networks, including glutamate receptor genes, across multiple different NDDs. To examine shared biological pathways across two of the most common NDDs, we investigated CNVs across 15,689 individuals with ADHD (n = 7920), ASD (n = 4318), or both (n = 3,416), as well as 19,993 controls. Cases and controls were matched by genotype array (i.e., Illumina array versions). Three case-control association studies each calculated and compared the observed vs. expected frequency of CNVs across individual genes, loci, pathways, and gene networks. Quality control measures of confidence in CNV-calling, prior to association analyses, included visual inspection of genotype and hybridization intensity. RESULTS Here, we report results from CNV analysis in search for individual genes, loci, pathways, and gene networks. To extend our previous observations implicating a key role of the metabotropic glutamate receptor (mGluR) network in both ADHD and autism, we exhaustively queried patients with ASD and/or ADHD for CNVs associated with the 273 genomic regions of interest within the mGluR gene network (genes with one or two degrees protein-protein interaction with mGluR 1-8 genes). Among CNVs in mGluR network genes, we uncovered CNTN4 deletions enriched in NDD cases (P = 3.22E - 26, OR = 2.49). Additionally, we uncovered PRLHR deletions in 40 ADHD cases and 12 controls (P = 5.26E - 13, OR = 8.45) as well as clinically diagnostic relevant 22q11.2 duplications and 16p11.2 duplications in 23 ADHD + ASD cases and 9 controls (P = 4.08E - 13, OR = 15.05) and 22q11.2 duplications in 34 ADHD + ASD cases and 51 controls (P = 9.21E - 9, OR = 3.93); those control samples were not with previous 22qDS diagnosis in their EHR records. CONCLUSION Together, these results suggest that disruption in neuronal cell-adhesion pathways confers significant risk to NDDs and showcase that rare recurrent CNVs in CNTN4, 22q11.2, and 16p11.2 are overrepresented in NDDs that constitute patients predominantly suffering from ADHD and ASD. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02286817 First Posted: 10 November 14, ClinicalTrials.gov Identifier: NCT02777931 first posted: 19 May 2016, ClinicalTrials.gov Identifier: NCT03006367 first posted: 30 December 2016, ClinicalTrials.gov Identifier: NCT02895906 first posted: 12 September 2016.
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Affiliation(s)
- Joseph T Glessner
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Munir E Khan
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Xiao Chang
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Yichuan Liu
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, USA
| | - F George Otieno
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Maria Lemma
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Isabella Slaby
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Heather Hain
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Frank Mentch
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Jin Li
- Department of Cell Biology, the Province and Ministry Co-Sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Charlly Kao
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Patrick M A Sleiman
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Michael E March
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - John Connolly
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, USA.
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
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Bhola SL, Nieuwint AWM, Stuurman KE. A prenatal case of partial trisomy 21 (q22.2q22.3), resulting from a paternal insertion translocation ins(16;21) and uncovered by QF-PCR, and characterized by array CGH and FISH. Clin Case Rep 2018; 6:1313-1316. [PMID: 29988599 PMCID: PMC6028365 DOI: 10.1002/ccr3.1563] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 01/19/2018] [Accepted: 03/24/2018] [Indexed: 11/30/2022] Open
Abstract
In addition to detecting trisomies of whole chromosomes, QF-PCR can also detect partial trisomies of the chromosomes 13, 18, and 21, which can suggest an unbalanced translocation. Additional testing with other techniques, such as microarray or FISH, is recommended when an unbalanced translocation is suspected.
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Affiliation(s)
- Shama L. Bhola
- Department of Clinical GeneticsVU University Medical CenterAmsterdamThe Netherlands
| | - Aggie W. M. Nieuwint
- Department of Clinical GeneticsVU University Medical CenterAmsterdamThe Netherlands
| | - Kyra E. Stuurman
- Department of Clinical GeneticsErasmus Medical CenterRotterdamThe Netherlands
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Human Embryonic Stem Cells: A Model for the Study of Neural Development and Neurological Diseases. Stem Cells Int 2016; 2016:2958210. [PMID: 27239201 PMCID: PMC4864561 DOI: 10.1155/2016/2958210] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 03/14/2016] [Indexed: 01/05/2023] Open
Abstract
Although the mechanism of neurogenesis has been well documented in other organisms, there might be fundamental differences between human and those species referring to species-specific context. Based on principles learned from other systems, it is found that the signaling pathways required for neural induction and specification of human embryonic stem cells (hESCs) recapitulated those in the early embryo development in vivo at certain degree. This underscores the usefulness of hESCs in understanding early human neural development and reinforces the need to integrate the principles of developmental biology and hESC biology for an efficient neural differentiation.
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A de novo 2.78-Mb duplication on chromosome 21q22.11 implicates candidate genes in the partial trisomy 21 phenotype. NPJ Genom Med 2016; 1. [PMID: 27840696 PMCID: PMC5102301 DOI: 10.1038/npjgenmed.2016.3] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Down syndrome (DS) is the most common genetic cause of intellectual disability (ID) and in the majority of cases is the result of complete trisomy 21. The hypothesis that the characteristic DS clinical features are due to a single DS critical region (DSCR) at distal chromosome 21q has been refuted by recently reported segmental trisomy 21 cases characterised by microarray-based comparative genomic hybridisation (aCGH). These rare cases have implicated multiple regions on chromosome 21 in the aetiology of distinct features of DS; however, the map of chromosome 21 copy-number aberrations and their associated phenotypes remains incompletely defined. We report a child with ID who was deemed very high risk for DS on antenatal screening (1 in 13) and has partial, but distinct, dysmorphologic features of DS without congenital heart disease (CHD). Oligonucleotide aCGH testing of the proband detected a previously unreported de novo 2.78-Mb duplication on chromosome 21q22.11 that includes 16 genes; however, this aberration does not harbour any of the historical DSCR genes (APP, DSCR1, DYRK1A and DSCAM). This informative case implicates previously under-recognised candidate genes (SOD1, SYNJ1 and ITSN1) in the pathogenesis of specific DS clinical features and supports a critical region for CHD located more distal on chromosome 21q. In addition, this unique case illustrates how the increasing resolution of microarray and high-throughput sequencing technologies can continue to reveal new biology and enhance understanding of widely studied genetic diseases that were originally described over 50 years ago.
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