Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Developmentally dynamic, non-convergent transcriptomic profiles in CNV models for schizophrenia risk

ABSTRACT: Schizophrenia is a complex psychiatric disorder with significant genetic and clinical heterogeneity. Although numerous rare copy number variations (CNVs) with high risk for schizophrenia have been identified, they show no obvious overlap in gene content or function. We hypothesized that the downstream effects of schizophrenia-associated CNVs converge on shared molecular pathways. To test this, we profiled the prefrontal cortex of five schizophrenia-associated CNV mouse models—15q13.3del, 3q29del, 1q21.1del, 22q11.2del, and 16p11.2dup—using single-cell RNA sequencing across two developmental stages: adolescence and adulthood. From 292,943 high-quality single-cell transcriptomes, we identified distinct age- and cell type-specific patterns of differential gene expression and biological pathway perturbations in each model. Rather than converging on a shared molecular mechanism, each CNV affected unique cellular pathways in a developmentally dynamic manner. Notably, genes dysregulated in deep-layer corticothalamic projection neurons from 15q13.3del and 16p11.2dup models, and intratelencephalic neurons from adult 22q11.2del mice, showed enrichment for schizophrenia-SNP heritability. These results support a model in which rare CNVs contribute to schizophrenia genetic risk through developmentally dynamic, distinct pathways rather than through a shared molecular mechanism.

ORGANISM(S): Mus musculus

PROVIDER: GSE329215 | GEO | 2026/05/27

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Impact of IQ on the diagnostic yield of chromosomal microarray in a community sample of adults with schizophrenia

Project description:The Affymetrix Genome-Wide Human SNP 6.0 and CytoScan HD arrays are high-resolution SNP platforms for studying copy number variations in the human genome. It is widely being used in both clinical and research settings for identifying causative variants as well as interrogating the genome for benign variants. We employed this platform to investigate the burden of clinically relevant rare (<0.1% in population controls) CNVs in individuals with schizophrenia, stratified by IQ group. We genotyped 540 unrelated probands with schizophrenia and applied rigorous methods to detect genome-wide CNVs. All rare CNV >500 kb and all rare exonic CNV >100 kb were adjudicated for clinical relevance following the American College of Medical Genetics guidelines for CNV interpretation. Our results revealed that burden of pathogenic CNVs is significantly greater for individuals with schizophrenia and low IQ compared to those with normal to superior IQ

2017-11-30 | GSE106818 | GEO

Genotyping data from 54 patients with deficit schizophrenia

Project description:Schizophrenia is a severe psychiatric disease with complex etiology, affecting approximately one percent of the general population. Most genetic studies so far focused on disease association with common genetic variation such as single nucleotide polymorphisms, but recently it has become apparent that large-scale genomic copy number variants (CNVs) are involved in disease development as well. To assess the role of rare CNVs in schizophrenia, we screened 54 patients with deficit schizophrenia using Affymetrixâ GeneChip 250K SNP arrays. Keywords: genomic hybridisation We hybridized genomic DNA of 54 patients with deficit schizophrenia to Affymetrix' GeneChip 250K SNP (Nsp) arrays, and identified genome-wide CNV using the Copy Number Analyzer for Affymetrix GeneChip (CNAG v2.0) software, which uses a Hidden Markov Model (HMM) algorithm to calculate copy numbers.

2010-05-18 | E-GEOD-12714 | biostudies-arrayexpress

Genome-wide copy number variation in Chinese schizophrenia trios

Project description:To reveal the risk CNVs of SZ in Chinese population, we recrited and enrolled 100 Chinese family trios with a schizophrenia affected children and both of their father and mother. SZ was diagnosed according to DSM-IV criteria by two independent psychiatrists. There gDNA we screen the genome-wide CNV using Agilent SurePrint G3 Human CGH Microarray Kit (1x1M) and Agilent sex-matched human DNA was used as reference. The CNV were called by ADM-2 statistical algorithms with a threshold of 6.0. We compared the burden of large rare CNVs and found that SZ probands carried more duplications and less deletions. Furtherly, we performed familial inheritance analysis of transmission disequilibrium and de novo CNV detection, validated several associated CNV loci with SZ susceptibility and also identify eight novel loci conferring risk of SZ

2021-10-01 | E-MTAB-8075 | biostudies-arrayexpress

A Genome-Wide Copy Number Variant Study of Suicidal Behavior

Project description:Suicide and suicide attempts are complex behaviors that result from the interaction of different factors, including genetic variants that increase the predisposition to suicidal behaviors. Copy number variations (CNVs) are deletions or duplications of a segment of DNA usually larger than one kilobase. These structural genetic changes, although quite rare, have been associated with genetic liability to mental disorders, such as autism, schizophrenia, and bipolar disorder. No genome-wide level studies have been published investigating the potential role of CNVs in suicidal behaviors. Based on single-nucleotide polymorphism array data, we followed the Penn-CNV standards to detect CNVs in 1,608 subjects, comprising 475 suicide and suicide attempt cases and 1,133 controls. Although the initial algorithms determined the presence of CNVs on chromosomes 6 and 12 in seven and eight cases, respectively, compared with none of the controls, visual inspection of the raw data did not support this finding. Furthermore we were unable to validate these findings by CNV-specific real-time polymerase chain reaction. Additionally, rare CNV burden analysis did not find an association between the frequency or length of rare CNVs and suicidal behavior in our sample population. Although our findings suggest CNVs do not play an important role in the etiology of suicidal behaviors, they are not inconsistent with the strong evidence from the literature suggesting that other genetic variants account for a portion of the total phenotypic variability in suicidal behavior.

2015-04-17 | E-MTAB-3519 | biostudies-arrayexpress

Large rare Deletions in Ashkenazi Jewish schizophrenia cases vs controls

Project description:Schizophrenia is a severe psychiatric illness that affects ~1% of the population and has a strong genetic underpinning. Recently, genome wide analysis of copy number variation (CNV) has implicated rare and de novo events as important in schizophrenia. Here we report a genome-wide analysis of 245 schizophrenia cases and 490 controls, all of Ashkenazi Jewish descent. Since many studies have found an excess burden of large, rare deletions in cases, we limited our analysis to deletions over 500 kb in size. We observed seven large, rare deletions in cases with 57% of these being de novo. We focused on one 836 kb de novo deletion at chromosome 3q29 that falls within a 1.3–1.6 Mb deletion previously identified in children with intellectual disability (ID) and autism, as increasing evidence suggests an overlap of specific rare CNVs between autism and schizophrenia. By combining our data with prior CNV studies of schizophrenia and analysis of the data of the Genetic Association Information Network (GAIN), we identified six 3q29 deletions among 7,545 schizophrenic subjects and one among 39,748 controls, resulting in a statistically significant association with schizophrenia (p = 0.02) and an odds ratio estimate of 17 (95% CI: 1.36–1198.4). Moreover, this 3q29 deletion region contains two linkage peaks from prior schizophrenia family studies, and the minimal deletion interval implicates 20 annotated genes, including PAK2 and DLG1, both paralogous to X-linked ID genes and now strong candidates for schizophrenia susceptibility. Copy Number alanysis was performed on 245 cases and 490 controls of Ashkenazi Jewish descent. Samples were analyzed for deletions greater than 500 kb, with 20 or more snps in the interval. Three algorithms were used for analysis, GADA, GLAD and BEAST. The reference was created by using all samples processed here as the reference.

2010-08-06 | E-GEOD-23201 | biostudies-arrayexpress

7q11.23 CNV altered proteome in iPSC differentiating neurons

Project description:Copy number variations (CNVs) at 7q11.23 cause Williams-Beuren (WBS) and 7q microduplication syndromes (7Dup), two neurodevelopmental disorders with shared and opposite cognitive-behavioral phenotypes. Using patient-derived and isogenic neurons, we integrated transcriptomics, translatomics and proteomics to elucidate the molecular underpinnings of this dosage effect. We found that 7q11.23 CNVs cause opposite alterations in neuronal differentiation and neuronal excitability. Here, the 7q11.23 CNV altered proteome in iPSC differentiating neurons was measured by a fast SWATH-MS method.

2024-10-17 | PXD038156 | Pride

Large rare Deletions in Ashkenazi Jewish schizophrenia cases vs controls

2010-08-06 | GSE23201 | GEO

Genotyping data from 54 patients with deficit schizophrenia

2008-10-22 | GSE12714 | GEO

Novel Rare Copy Number Variants Associated with Tetralogy of Fallot in the Han Chinese Population

Project description:Tetralogy of Fallot (TOF), the most frequent cyanotic congenital heart disease, occurs as a simplex trait of unknown etiology in the majority of cases. Studies of non-Asian populations suggest that approximately 10% of TOF cases carry a de novo rare copy number variant (CNV) thought to underlie the malformation. A genome-wide CNV analysis was performed in 303 TOF and 302 controls of Han Chinese as well as compared to 1,000 common Chinese database and revealed 166 rare CNVs identified in TOF patients with 119 CNVs further evaluated as potential “TOF-specific CNVs”; 98 were validated by qPCR, and 44 CNVs showed positive results on validation (positive rate 46.9%, 44/98). The genes related to the clinical phenotypes (subpulmonary VSD, bicuspid pulmonary valve, aortic valve overriding more than 75%, and right aortic arch) and the specific CNVs were included in integrating gene-gene interaction network analysis that identified the genes covering the specific CNVs directly or indirectly correlated to TOF and the signaling pathways. Thus, this study identified novel TOF-specific/associate CNVs in the Han Chinese that occurring at higher frequency in the Han Chinese (28.4% in Chr 1-20 and 42.9% in all chromosomes) is reflective of the increased prevalence of TOF in China. These novel CNVs identify new candidate genes for TOF. Our findings provide new insight into the contribution of CNVs to the genetic basis of TOF and identify new genetic loci potentially important to the pathogenesis of TOF

2021-01-01 | GSE151767 | GEO

CYFIP1 dosages exhibit divergent behavioral impact via diametric regulation of NMDAR complex translation in mouse models of psychiatric disorders

Project description:Gene dosage imbalance caused by copy number variations (CNVs) are prominent contributors to brain disorders. 15q11.2 CNV duplications and deletions have been associated with autism spectrum disorder (ASD) and schizophrenia (SCZ), respectively. The mechanism underlying these diametric contributions remain unclear. Here we established both loss-of-function and gain-of-function mouse models of Cyfip1, one of four genes within 15q11.2 CNVs and these mice exhibited both distinct and shared behavioral abnormalities related to ASD and SCZ. RIP-seq analysis identified mRNA targets of CYFIP1 in vivo, including postsynaptic NMDAR complex components. These mouse models showed diametric changes in levels of postsynaptic NMDAR complex components at synapses due to dysregulated protein translation, resulting in bidirectional alteration of NMDAR-mediated signaling. Importantly, pharmacological balancing of NMDAR signaling in mouse models with diametric CYFIP1 dosages rescues behavioral abnormalities. Our integrated analyses provide insight into how gene dosage imbalance caused by CNVs may contribute to divergent neuropsychiatric disorders.

2022-02-02 | GSE166939 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data