scholarly journals Duplications at 19q13.33 in patients with neurodevelopmental disorders

2017 ◽  
Author(s):  
Eduardo Pérez-Palma ◽  
Elmo Saarentaus ◽  
Joris Andrieux ◽  
Marie Ravoet ◽  
Giancarlo V. De Ferrari ◽  
...  

AbstractOBJECTIVEAfter recent publication of the first patients with disease associated missense variants in GRIN2D, we evaluate the effect of copy number variation (CNV) overlapping this gene towards the presentation of neurodevelopmental disorders.METHODSWe explored ClinVar (N°CNV = 41,398) and DECIPHER (N°CNV = 30,222) clinical databases of genomic variations for patients with copy number changes overlapping the GRIN2D gene at the 19q13.33 locus and evaluated their respective phenotype alongside their frequency, gene content and expression with publicly available reference databases.RESULTSWe identified 13 patients with microduplications at the 19q13.33 locus. The majority of CNVs arose de novo and comparable CNVs are not present in control databases. All patients were reported to have neurodevelopmental disorders and dysmorphic features as the most common clinical phenotype (N= 10/13), followed by seizures (N= 6/13) and intellectual disability (N= 5/13). All duplications shared a consensus region of 405 kb overlapping 13 genes. After screening for duplication tolerance in control populations, positive gene brain expression and gene dosage sensitivity analysis, we highlight four genes for future evaluation: CARD8, C19orf68, KDELR1 and GRIN2D, which are promising candidates for disease causality. Further, investigation of the literature especially supports GRIN2D as the best candidate gene.CONCLUSIONSOur study presents dup19q13.33 as novel duplication syndrome locus associated with neurodevelopmental disorders. CARD8, C19orf68, KDELR1 and GRIN2D are promising candidates for functional follow up.

2018 ◽  
Vol 4 (1) ◽  
pp. e210 ◽  
Author(s):  
Eduardo Pérez-Palma ◽  
Elmo Saarentaus ◽  
Marie Ravoet ◽  
Giancarlo V. De Ferrari ◽  
Peter Nürnberg ◽  
...  

ObjectiveAfter the recent publication of the first patients with disease-associated missense variants in the GRIN2D gene, we evaluate the effect of copy number variants (CNVs) overlapping this gene toward the presentation of neurodevelopmental disorders (NDDs).MethodsWe explored ClinVar (number of CNVs = 50,794) and DECIPHER (number of CNVs = 28,085) clinical databases of genomic variations for patients with copy number changes overlapping the GRIN2D gene at the 19q13.33 locus and evaluated their respective phenotype alongside their frequency, gene content, and expression, with publicly available reference databases.ResultsWe identified 11 patients with microduplications at the 19q13.33 locus. The majority of CNVs arose de novo, and comparable CNVs are not present in control databases. All patients were reported to have NDDs and dysmorphic features as the most common clinical phenotype (N = 8/11), followed by seizures (N = 6/11) and intellectual disability (N = 5/11). All duplications shared a consensus region of 405 kb overlapping 13 genes. After screening for duplication tolerance in control populations, positive gene brain expression, and gene dosage sensitivity analysis, we highlight 4 genes for future evaluation: CARD8, C19orf68, KDELR1, and GRIN2D, which are promising candidates for disease causality. Furthermore, investigation of the literature especially supports GRIN2D as the best candidate gene.ConclusionsOur study presents dup19q13.33 as a novel duplication syndrome locus associated with NDDs. CARD8, C19orf68, KDELR1, and GRIN2D are promising candidates for functional follow-up.


2017 ◽  
Author(s):  
Sofia Stamouli ◽  
Britt-Marie Anderlid ◽  
Charlotte Willfors ◽  
Bhooma Thiruvahindrapuram ◽  
John Wei ◽  
...  

AbstractHundreds of penetrant risk loci have been identified across different neurodevelopmental disorders (NDDs), and these often involve rare (<1% frequency) copy number variations (CNVs), which can involve one or more genes. Monozygotic (MZ) twin pairs are long thought to share 100% of their genomic information. However, genetic differences in the form of postzygotic somatic variants have been reported recently both in typically developing (TD) and in clinically discordant MZ pairs. Here, we sought to investigate the contribution of CNVs in 100 twin pairs enriched for NDD phenotypes with a particular focus on MZ pairs discordant for autism spectrum disorder (ASD) using the PsychChip array. In our collection, no postzygotic de novo CNVs were found in 55 MZ twin pairs, including the 13 pairs discordant for ASD. When analyzing the burden of rare CNVs among pairs concordant and discordant for ASD/NDD in comparison with typically developed (TD) pairs, no differences were found. However, we did detect a higher rate of CNVs overlapping genes involved in disorders of the nervous system in MZ pairs discordant and concordant for ASD in comparison with TD pairs (p=0.02). Our results are in concordance with earlier findings that postzygotic de novo CNV events are typically rare in genomic DNA derived from saliva or blood and, in the majority of MZ twins, do not explain the discordance of NDDs. Still, studies investigating postzygotic variation in MZ discordant twins using DNA from different tissues and single cells and higher resolution genomics are needed in the future.


2018 ◽  
Vol 21 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Sofia Stamouli ◽  
Britt-Marie Anderlid ◽  
Charlotte Willfors ◽  
Bhooma Thiruvahindrapuram ◽  
John Wei ◽  
...  

Hundreds of penetrant risk loci have been identified across different neurodevelopmental disorders (NDDs), and these often involve rare (<1% frequency) copy number variations (CNVs), which can involve one or more genes. Monozygotic (MZ) twin pairs are long thought to share 100% of their genomic information. However, genetic differences in the form of postzygotic somatic variants have been reported recently both in typically developing (TD) and in clinically discordant MZ pairs. We sought to investigate the contribution of rare CNVs in 100 twin pairs enriched for NDD phenotypes with a particular focus on postzygotic CNVs in MZ pairs discordant for autism spectrum disorder (ASD) using the Illumina Infinium PsychArray. In our sample, no postzygotic de novo CNVs were found in 55 MZ twin pairs, including the 13 pairs discordant for ASD. We did detect a higher rate of CNVs overlapping genes involved in disorders of the nervous system, such as a rare deletion affecting HNRNPU, in MZ pairs discordant and concordant for ASD in comparison with TD pairs (p = .02). Our results are in concordance with earlier findings that postzygotic de novo CNV events are typically rare in genomic DNA derived from saliva or blood, and suggests that the discordance of NDDs in our sample of twins is not explained by discordant CNVs. Still, studies investigating postzygotic variation in MZ discordant twins using DNA from different tissues and single cells and higher resolution genomics are needed in the future.


Author(s):  
М.Е. Лопаткина ◽  
В.С. Фишман ◽  
М.М. Гридина ◽  
Н.А. Скрябин ◽  
Т.В. Никитина ◽  
...  

Проведен анализ генной экспрессии в нейронах, дифференцированных из индуцированных плюрипотентных стволовых клеток пациентов с идиопатическими интеллектуальными нарушениями и реципрокными хромосомными мутациями в регионе 3p26.3, затрагивающими единственный ген CNTN6. Для нейронов с различным типом хромосомных аберраций была показана глобальная дисрегуляция генной экспрессии. В нейронах с вариациями числа копий гена CNTN6 была снижена экспрессия генов, продукты которых вовлечены в процессы развития центральной нервной системы. The gene expression analysis of iPSC-derived neurons, obtained from patients with idiopathic intellectual disability and reciprocal microdeletion and microduplication in 3p26.3 region affecting the single CNTN6 gene was performed. The global gene expression dysregulation was demonstrated for cells with CNTN6 copy number variation. Gene expression in neurons with CNTN6 copy number changes was downregulated for genes, whose products are involved in the central nervous system development.


2020 ◽  
Author(s):  
Christopher W. Whelan ◽  
Robert E. Handsaker ◽  
Giulio Genovese ◽  
Seva Kashin ◽  
Monkol Lek ◽  
...  

AbstractTwo intriguing forms of genome structural variation (SV) – dispersed duplications, and de novo rearrangements of complex, multi-allelic loci – have long escaped genomic analysis. We describe a new way to find and characterize such variation by utilizing identity-by-descent (IBD) relationships between siblings together with high-precision measurements of segmental copy number. Analyzing whole-genome sequence data from 706 families, we find hundreds of “IBD-discordant” (IBDD) CNVs: loci at which siblings’ CNV measurements and IBD states are mathematically inconsistent. We found that commonly-IBDD CNVs identify dispersed duplications; we mapped 95 of these common dispersed duplications to their true genomic locations through family-based linkage and population linkage disequilibrium (LD), and found several to be in strong LD with genome-wide association (GWAS) signals for common diseases or gene expression variation at their revealed genomic locations. Other CNVs that were IBDD in a single family appear to involve de novo mutations in complex and multi-allelic loci; we identified 26 de novo structural mutations that had not been previously detected in earlier analyses of the same families by diverse SV analysis methods. These included a de novo mutation of the amylase gene locus and multiple de novo mutations at chromosome 15q14. Combining these complex mutations with more-conventional CNVs, we estimate that segmental mutations larger than 1kb arise in about one per 22 human meioses. These methods are complementary to previous techniques in that they interrogate genomic regions that are home to segmental duplication, high CNV allele frequencies, and multi-allelic CNVs.Author SummaryCopy number variation is an important form of genetic variation in which individuals differ in the number of copies of segments of their genomes. Certain aspects of copy number variation have traditionally been difficult to study using short-read sequencing data. For example, standard analyses often cannot tell whether the duplicated copies of a segment are located near the original copy or are dispersed to other regions of the genome. Another aspect of copy number variation that has been difficult to study is the detection of mutations in the copy number of DNA segments passed down from parents to their children, particularly when the mutations affect genome segments which already display common copy number variation in the population. We develop an analytical approach to solving these problems when sequencing data is available for all members of families with at least two children. This method is based on determining the number of parental haplotypes the two siblings share at each location in their genome, and using that information to determine the possible inheritance patterns that might explain the copy numbers we observe in each family member. We show that dispersed duplications and mutations can be identified by looking for copy number variants that do not follow these expected inheritance patterns. We use this approach to determine the location of 95 common duplications which are dispersed to distant regions of the genome, and demonstrate that these duplications are linked to genetic variants that affect disease risk or gene expression levels. We also identify a set of copy number mutations not detected by previous analyses of sequencing data from a large cohort of families, and show that repetitive and complex regions of the genome undergo frequent mutations in copy number.


Author(s):  
George Kirov ◽  
Michael C. O’Donovan ◽  
Michael J. Owen

Several submicroscopic genomic deletions and duplications known as copy number variants (CNVs) have been reported to increase susceptibility to schizophrenia. Those for which the evidence is particularly strong include deletions at chromosomal segments 1q21.1, 3q29, 15q11.2, 15q13.3, 17q12 and 22q11.2, duplications at 15q11.2-q13.1, 16p13.1, and 16p11.2, and deletions atthe gene NRXN1. The effect of each on individual risk is relatively large, but it does not appear that any of them is alone sufficient to cause disorder in carriers. These CNVs often arise as new mutations(de novo). Analyses of genes enriched among schizophrenia implicated CNVs highlight the involvement in the disorder of post-synaptic processes relevant to glutamatergicsignalling, cognition and learning. CNVs that contribute to schizophrenia risk also contribute to other neurodevelopmental disorders, including intellectual disability, developmental delay and autism. As a result of selection, all known pathogenic CNVs are rare, and none makes a sizeable contribution to overall population risk of schizophrenia, although the study of these mutations is nevertheless providing important insights into the origins of the disorder.


Author(s):  
Natália Oliva-Teles ◽  
Maria Chiara de Stefano ◽  
Louise Gallagher ◽  
Severin Rakic ◽  
Paula Jorge ◽  
...  

Copy number variants (CNVs) play an important role in the genetic underpinnings of neuropsychiatric/neurodevelopmental disorders. The chromosomal region 16p11.2 (BP4–BP5) harbours both deletions and duplications that are associated in carriers with neurodevelopmental and neuropsychiatric conditions as well as several rare disorders including congenital malformation syndromes. The aim of this article is to provide a review of the current knowledge of the diverse neurodevelopmental disorders (NDD) associated with 16p11.2 deletions and duplications reported in published cohorts. A literature review was conducted using the PubMed/MEDLINE electronic database limited to papers published in English between 1 January 2010 and 31 July 2020, describing 16p11.2 deletions and duplications carriers’ cohorts. Twelve articles meeting inclusion criteria were reviewed from the 75 articles identified by the search. Of these twelve papers, eight described both deletions and duplications, three described deletions only and one described duplications only. This study highlights the heterogeneity of NDD descriptions of the selected cohorts and inconsistencies concerning accuracy of data reporting.


Gene ◽  
2020 ◽  
Vol 735 ◽  
pp. 144393
Author(s):  
Pamela Magini ◽  
Emanuela Scarano ◽  
Ilaria Donati ◽  
Alberto Sensi ◽  
Laura Mazzanti ◽  
...  

2019 ◽  
Vol 10 ◽  
Author(s):  
Fátima Lopes ◽  
Fátima Torres ◽  
Gabriela Soares ◽  
Clara D. van Karnebeek ◽  
Cecília Martins ◽  
...  

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