scholarly journals Associations between Familial Rates of Psychiatric Disorders and De Novo Genetic Mutations in Autism

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Kyleen Luhrs ◽  
Tracey Ward ◽  
Caitlin M. Hudac ◽  
Jennifer Gerdts ◽  
Holly A. F. Stessman ◽  
...  
Keyword(s):  
Psychiatric Disorders ◽  
Copy Number ◽  
Depressive Disorders ◽  
De Novo ◽  
Familial Risk ◽  
Autism Spectrum ◽  
Copy Number Variations ◽  
Genetic Etiology ◽  
Additive Contribution ◽  
Familial Risk Factors

The purpose of this study was to examine the confluence of genetic and familial risk factors in children with Autism Spectrum Disorder (ASD) with distinct de novo genetic events. We hypothesized that gene-disrupting mutations would be associated with reduced rates of familial psychiatric disorders relative to structural mutations. Participants included families of children with ASD in four groups: de novo duplication copy number variations (DUP, n=62), de novo deletion copy number variations (DEL, n=74), de novo likely gene-disrupting mutations (LGDM, n=267), and children without a known genetic etiology (NON, n=2111). Familial rates of psychiatric disorders were calculated from semistructured interviews. Results indicated overall increased rates of psychiatric disorders in DUP families compared to DEL and LGDM families, specific to paternal psychiatric histories, and particularly evident for depressive disorders. Higher rates of depressive disorders in maternal psychiatric histories were observed overall compared to paternal histories and higher rates of anxiety disorders were observed in paternal histories for LGDM families compared to DUP families. These findings support the notion of an additive contribution of genetic etiology and familial factors are associated with ASD risk and highlight critical need for continued work targeting these relationships.

scholarly journals Association of Copy Number Variations in Autism Spectrum Disorders: A Systematic Review

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Elif Funda Sener
Keyword(s):  
Autism Spectrum Disorders ◽  
Complex Traits ◽  
Copy Number ◽  
De Novo ◽  
Genome Structure ◽  
Autism Spectrum ◽  
Copy Number Variations ◽  
Repetitive Behaviors ◽  
Wide Range ◽  
Spectrum Disorders

Autism spectrum disorders (ASDs) are characterized by language impairments, social deficits, and repetitive behaviors. The onset of symptoms occurs by the age of 3 and shows a lifelong persistence. Genetics plays a major role in the etiology of ASD. Except genetics, several potential risk factors (environmental factors and epigenetics) may contribute to ASD. Copy number variations (CNVs) are the most widespread structural variations in the human genome. These variations can alter the genome structure either by deletion or by duplication. CNVs can be de novo or inherited. Chromosomal rearrangements have been detected in 5–10% of the patients with ASD and recently copy number changes ranging from a few kilobases (kb) to several megabases (Mb) in size have been reported. Recent data have also revealed that submicroscopic CNVs can have a role in ASD, and de novo CNVs seem to be a more common risk factor in sporadic compared with inherited forms of ASD. CNVs are being implicated as a contributor to the pathophysiology of complex neurodevelopmental disorders and they can affect a wide range of human phenotypes including mental retardation (MR), autism, neuropsychiatric disorders, and susceptibility to other complex traits such as HIV, Crohn’s disease, and psoriasis. This review emphasizes the major CNVs reported to date in ASD.

scholarly journals Large mosaic copy number variations confer autism risk

2020 ◽  
Author(s):  
Maxwell A. Sherman ◽  
Rachel E. Rodin ◽  
Giulio Genovese ◽  
Caroline Dias ◽  
Alison R. Barton ◽  
...  
Keyword(s):  
Copy Number ◽  
De Novo ◽  
Clinical Symptoms ◽  
Copy Number Variants ◽  
Autism Spectrum ◽  
Copy Number Variations ◽  
Chromosome 2 ◽  
Simons Simplex Collection ◽  
Post Mortem Brain ◽  
Significant Burden

AbstractAlthough germline de novo copy number variants are a known cause of autism spectrum disorder (ASD), the contribution of mosaic (early-developmental) copy number variants (mCNVs) has not been explored. Here, we assessed the contribution of mCNVs to ASD by ascertaining mCNVs in genotype array intensity data from 12,077 ASD probands and 5,500 unaffected siblings in the Simons Simplex Collection (SSC) and Simons Powering Autism Research for Knowledge (SPARK) cohorts. We detected 46 mCNVs in probands and 19 mCNVs in siblings ranging from 49 kb to 249 Mb and affecting 2.8-73.8% of cells. In both cohorts, probands carried a significant burden of large (>4 Mb) mCNVs (P = 0.043 and P = 6.6 × 10−3 in SSC and SPARK, respectively), which were present in a total of 25 probands but only 1 sibling (OR=11.4, 95% CI=1.5-84.2). Surprisingly, we did not observe mosaic analogues of the short de novo CNVs recurrently observed in ASD. Event size positively correlated with severity of ASD symptoms (P = 0.016), and four probands exhibited clinical symptoms consistent with syndromes previously associated with genes or regions disrupted by their respective mosaic mutations. In analyses of post-mortem brain tissue from 60 additional probands, we further detected and experimentally validated two mCNVs including a complex 10.3 Mb duplication on chromosome 2. These results indicate that mosaic CNVs contribute a previously unexplained component of ASD risk.

scholarly journals Copy Number Variation Analysis of 100 Twin Pairs Enriched for Neurodevelopmental Disorders

2017 ◽  
Author(s):  
Sofia Stamouli ◽  
Britt-Marie Anderlid ◽  
Charlotte Willfors ◽  
Bhooma Thiruvahindrapuram ◽  
John Wei ◽  
...  
Keyword(s):  
Neurodevelopmental Disorders ◽  
Copy Number ◽  
De Novo ◽  
Single Cells ◽  
Autism Spectrum ◽  
Copy Number Variations ◽  
Rare Cnvs ◽  
Number Variation ◽  
Discordant Twins ◽  
Mz Twins

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.

scholarly journals Modeling and Predicting Developmental Trajectories of Neuropsychiatric Dimensions Associated With Copy Number Variations

2019 ◽  
Vol 22 (8) ◽  
pp. 488-500 ◽  
Author(s):  
Noboru Hiroi ◽  
Takahira Yamauchi
Keyword(s):  
Autism Spectrum Disorder ◽  
Working Memory ◽  
Psychiatric Disorders ◽  
Mouse Models ◽  
Social Communication ◽  
Copy Number ◽  
Autism Spectrum ◽  
Copy Number Variations ◽  
Spectrum Disorder ◽  
Catecholamine Metabolism

AbstractCopy number variants, such as duplications and hemizygous deletions at chromosomal loci of up to a few million base pairs, are highly associated with psychiatric disorders. Hemizygous deletions at human chromosome 22q11.2 were found to be associated with elevated instances of schizophrenia and autism spectrum disorder in 1992 and 2002, respectively. Following these discoveries, many mouse models have been developed and tested to analyze the effects of gene dose alterations in small chromosomal segments and single genes of 22q11.2. Despite several limitations to modeling mental illness in mice, mouse models have identified several genes on 22q11.2—Tbx1, Dgcr8, Comt, Sept5, and Prodh—that contribute to dimensions of autism spectrum disorder and schizophrenia, including working memory, social communication and interaction, and sensorimotor gating. Mouse studies have identified that heterozygous deletion of Tbx1 results in defective social communication during the neonatal period and social interaction deficits during adolescence/adulthood. Overexpression of Tbx1 or Comt in adult neural progenitor cells in the hippocampus delays the developmental maturation of working memory capacity. Collectively, mouse models of variants of these 4 genes have revealed several potential neuronal mechanisms underlying various aspects of psychiatric disorders, including adult neurogenesis, microRNA processing, catecholamine metabolism, and synaptic transmission. The validity of the mouse data would be ultimately tested when therapies or drugs based on such potential mechanisms are applied to humans.

scholarly journals Animal Models of Psychiatric Disorders That Reflect Human Copy Number Variation

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Jun Nomura ◽  
Toru Takumi
Keyword(s):  
Animal Models ◽  
Psychiatric Disorders ◽  
Copy Number ◽  
Chromosome Rearrangement ◽  
Autism Spectrum ◽  
Copy Number Variations ◽  
Large Chromosome ◽  
Brain Anatomy ◽  
Normal Brain ◽  
Chromosome Engineering

The development of genetic technologies has led to the identification of several copy number variations (CNVs) in the human genome. Genome rearrangements affect dosage-sensitive gene expression in normal brain development. There is strong evidence associating human psychiatric disorders, especially autism spectrum disorders (ASDs) and schizophrenia to genetic risk factors and accumulated CNV risk loci. Deletions in 1q21, 3q29, 15q13, 17p12, and 22q11, as well as duplications in 16p11, 16p13, and 15q11-13 have been reported as recurrent CNVs in ASD and/or schizophrenia. Chromosome engineering can be a useful technology to reflect human diseases in animal models, especially CNV-based psychiatric disorders. This system, based on the Cre/loxPstrategy, uses large chromosome rearrangement such as deletion, duplication, inversion, and translocation. Although it is hard to reflect human pathophysiology in animal models, some aspects of molecular pathways, brain anatomy, cognitive, and behavioral phenotypes can be addressed. Some groups have created animal models of psychiatric disorders, ASD, and schizophrenia, which are based on human CNV. These mouse models display some brain anatomical and behavioral abnormalities, providing insight into human neuropsychiatric disorders that will contribute to novel drug screening for these devastating disorders.

scholarly journals The Cytoscan HD Array in the Diagnosis of Neurodevelopmental Disorders

2018 ◽  
Vol 7 (3) ◽  
pp. 28 ◽  
Author(s):  
Francesca Scionti ◽  
Maria Di Martino ◽  
Licia Pensabene ◽  
Valentina Bruni ◽  
Daniela Concolino
Keyword(s):  
Copy Number ◽  
De Novo ◽  
Snp Array ◽  
Autism Spectrum ◽  
Copy Number Variations ◽  
Clinical Diagnostic Laboratory ◽  
Diagnostic Laboratory ◽  
Unknown Significance ◽  
Pathogenic Cnvs ◽  
Line Test

Submicroscopic chromosomal copy number variations (CNVs), such as deletions and duplications, account for about 15–20% of patients affected with developmental delay, intellectual disability, multiple congenital anomalies, and autism spectrum disorder. Most of CNVs are de novo or inherited rearrangements with clinical relevance, but there are also rare inherited imbalances with unknown significance that make difficult the clinical management and genetic counselling. Chromosomal microarrays analysis (CMA) are recognized as the first-line test for CNV detection and are now routinely used in the clinical diagnostic laboratory. The recent use of CMA platforms that combine classic copy number analysis with single-nucleotide polymorphism (SNP) genotyping has increased the diagnostic yields. Here we discuss the application of the Cytoscan high-density (HD) SNP-array for the detection of CNVs. We provide an overview of molecular analyses involved in identifying pathogenic CNVs and highlight important guidelines to establish pathogenicity of CNV.

scholarly journals Copy Number Variation Analysis of 100 Twin Pairs Enriched for Neurodevelopmental Disorders

2018 ◽  
Vol 21 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Sofia Stamouli ◽  
Britt-Marie Anderlid ◽  
Charlotte Willfors ◽  
Bhooma Thiruvahindrapuram ◽  
John Wei ◽  
...  
Keyword(s):  
Neurodevelopmental Disorders ◽  
Copy Number ◽  
De Novo ◽  
Single Cells ◽  
Autism Spectrum ◽  
Copy Number Variations ◽  
Typically Developing ◽  
Rare Cnvs ◽  
Number Variation ◽  
Discordant Twins

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.

scholarly journals Rare Copy Number Variations in a Chinese Cohort of Autism Spectrum Disorder

2018 ◽  
Vol 9 ◽  
Author(s):  
Yanjie Fan ◽  
Xiujuan Du ◽  
Xin Liu ◽  
Lili Wang ◽  
Fei Li ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Copy Number ◽  
Autism Spectrum ◽  
Copy Number Variations ◽  
Spectrum Disorder ◽  
Chinese Cohort

Familial risk factors and the familial aggregation of psychiatric disorders

1990 ◽  
Vol 20 (2) ◽  
pp. 311-319 ◽  
Author(s):  
Kenneth S. Kendler
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Psychiatric Disorders ◽  
Genetic Factors ◽  
Familial Aggregation ◽  
Familial Risk ◽  
Significant Proportion ◽  
Potential Importance ◽  
Obstetric Injury ◽  
Familial Risk Factors

SynopsisAll major psychiatric disorders aggregate in families. For most disorders, both genes and environmental factors play an important role in this aggregation. While recent work has tended to concentrate on the importance of genetic factors, this report focuses on the potential importance of environmental risk factors which themselves aggregate in families. In particular, this article examines how much of the familial aggregation of a psychiatric disorder may result from the familial aggregation of a risk factor. The model is illustrated and then applied to putative familial risk factors for schizophrenia and depression. The results of the model suggest that if parental loss and exposure to pathogenic rearing practices are true risk factors for depression, then they could account for a significant proportion of the familial aggregation of depression. By contrast, the model predicts that even if obstetric injury and low social class are true risk factors for schizophrenia, they together would account for only a very small proportion of the tendency for schizophrenia to aggregate in families.

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