Genotyping data from 54 patients with deficit schizophrenia
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE12714 | GEO | 2008/10/22
SECONDARY ACCESSION(S): PRJNA112649
REPOSITORIES: GEO
Similar Datasets
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
Project description:Copy number variations (CNVs) account for a substantial proportion of human genomic variation, and have been shown to cause neurodevelopmental disorders. We sought to determine the relevance of CNVs to the aetiology of schizophrenia. Whole genome, high resolution, tiling path BAC array comparative genomic hybridization (array CGH) was employed to test DNA from 91 individuals with DSM-IV schizophrenia. Common DNA copy number changes that are unlikely to be directly pathogenic in schizophrenia were identified by comparison to a reference dataset of 372 control individuals analysed in our laboratory, and a screen against the Database of Genomic Variants. The remaining aberrations were tested for inheritance from the parents, and validated with Affymetrix 250K SNP arrays or 244K Agilent oligo-arrays. Thirteen aberrations satisfied our criteria. Two of them are very likely to be pathogenic. A deletion at 2p16.3 disrupts NRXN1 and was present in an affected sibling. A de novo duplication at 15q13.1 spans APBA2. The proteins of these two genes interact directly and play a role in synaptic development and function. Both genes have been affected by CNVs in other neurodevelopmental disorders. Keywords: Array CGH
2008-12-25 | GSE8606 | GEO
Project description:Copy number variations (CNVs) account for a substantial proportion of human genomic variation, and have been shown to cause neurodevelopmental disorders. We sought to determine the relevance of CNVs to the aetiology of schizophrenia. Whole genome, high resolution, tiling path BAC array comparative genomic hybridization (array CGH) was employed to test DNA from 91 individuals with DSM-IV schizophrenia. Common DNA copy number changes that are unlikely to be directly pathogenic in schizophrenia were identified by comparison to a reference dataset of 372 control individuals analysed in our laboratory, and a screen against the Database of Genomic Variants. The remaining aberrations were tested for inheritance from the parents, and validated with Affymetrix 250K SNP arrays or 244K Agilent oligo-arrays. Thirteen aberrations satisfied our criteria. Two of them are very likely to be pathogenic. A deletion at 2p16.3 disrupts NRXN1 and was present in an affected sibling. A de novo duplication at 15q13.1 spans APBA2. The proteins of these two genes interact directly and play a role in synaptic development and function. Both genes have been affected by CNVs in other neurodevelopmental disorders. Keywords: Array CGH We undertook a systematic search for CNVs in patients with schizophrenia using high resolution, whole genome tiling path BAC arrays. We selected 45 male and 48 female unrelated proband-parent trios from our sample of ~600 Bulgarian SZ trios recruited as described previously. In all cases IQ was > 70. The mean age of probands was 33.8 years (SD = 10.1, range 13-57 years). The mean age at onset of psychotic symptoms was 22.1 years (SD = 6.6, range 11-44 years). Sonicated patient and reference DNA was labelled by random priming (Bioprime Array CGH, Invitrogen, Carlsbad, CA) with Cy3 and Cy5 (Amersham Biosciences, Piscataway, NJ), respectively, and hybridized onto a tiling path BAC array, consisting of ~36,000 BAC clones obtained from several sources as described on our website (http://www.molgen.mpg.de/~abt_rop/molecular_cytogenetics/). All protocols are also provided on that website. For the analysis and visualization of array CGH data, our software-package CGHPRO was employed. For the assessment of copy number gains and losses, we used conservative log2 ratio thresholds of 0.3 and -0.3, respectively. Deviant signal intensity ratios involving three or more neighboring BAC clones were considered to be potentially pathogenic, unless they were covered by more than one known DNA copy number variant, as listed in the Database of Genomic Variants. No dye swap was done. Array CGH analysis was successful in 91 cases.
2008-12-24 | E-GEOD-8606 | biostudies-arrayexpress
Project description:In the study we present a multicenter study in which three European diagnostic centres assessed the use of Affymetrix Mapping 500k SNP arrays for molecular karyotyping in patients with mental retardation. Each centre tested DNA from 40 patients with unexplained mental retardation together with their parents. In addition, 38 DNA samples containing known submicroscopic copy number variations (CNVs) were run for validation purposes Keywords: genomic hybridisation
2009-04-01 | GSE13117 | GEO
Project description:Genotyping data on 192 schizophrenia cases and 181 healthy controls was generated using Psych Array V 1.3 Aim: To identify CNVs and SNPs associated with increased risk of schizophrenia
2024-01-16 | GSE242813 | GEO
Project description:Genome-wide screening for DNA copy-number variations (CNVs) was conducted for ten pairs, a total of 20 cases, of affected siblings using oligonucleotide array-based CGH. We found negative symptoms were significantly more severe (p < 0.05) in the subgroup that harboring more genetic imbalance (n ≧ 13, n = number of CNV-disrupted genes) as compared with the subgroup with fewer CNVs (n ≦ 6), indicating the degree of genetic imbalance may influence the severity of schizophrenia negative symptoms. Four central nervous system (CNS) related genes including CCAAT/enhancer binding protein, delta (CEBPD, 8q11.21), retinoid X receptor, alpha (RXRA, 9q34.2), LIM homeobox protein 5 (LHX5, 12q24.13) and serine/threonine kinase 11 (STK11, 19p13.3) are recurrently (incidence ≧16.7%) disrupted by CNVs. Two genes, PVR (poliovirus receptor) and BU678720, are concordant deleted in one and two, respectively, pairs of co-affected siblings. However, we did not find significant association of this BU678720 and schizophrenia in a large case-control sample. We conclude that the high genetic loading of CNVs may as the underlying cause of schizophrenia negative symptoms, and the CNS-related genes revealed by this study warrants further investigation.
2010-06-23 | GSE16930 | GEO
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
Project description:Background: Schizophrenia is a severe, highly heritable, neuropsychiatric disorder characterized by episodic psychosis and altered cognitive function. Despite success in identifying genetic variants associated with schizophrenia, there remains uncertainty about the causal genes involved in disease pathogenesis and how their function is regulated. Insights into the functional complexity of the genome have focussed attention on the role of non-sequence-based genomic variation in health and disease. Although a better understanding of the molecular mechanisms underlying disease phenotypes is best achieved using an integrated functional genomics strategy, few studies have attempted to systematically integrate genetic and epigenetic epidemiological approaches. Results: We performed a multi-stage epigenome-wide association study (EWAS), quantifying genome-wide patterns of DNA methylation in a total of 1,801 individuals from three independent sample cohorts. We identified multiple differentially methylated positions (DMPs) and region (DMRs) associated with schizophrenia, independently of important confounders such as smoking, with consistent effects across the three independent cohorts. We also show that polygenic burden for schizophrenia is associated with epigenetic variation at multiple loci across the genome, independently of loci implicated in the analysis of diagnosed schizophrenia. Finally, we show how DNA methylation quantitative trait loci (mQTL) analyses can be used to annotate the extended genomic regions nominated by genetic studies of schizophrenia, with Bayesian co-localization analyses highlighting potential regulatory variation causally involved in disease. Conclusion: This study represents the first systematic integrated analysis of genetic and epigenetic variation in schizophrenia, introducing a methodological pipeline that can be used to inform EWAS analyses of other complex traits and diseases. We demonstrate the utility of using polygenic risk score (PRS) for identifying molecular variation associated with etiological variation, and mQTLs for refining the functional/regulatory variation associated with schizophrenia risk variants. Finally, we present strong evidence for the co-localization of genetic associations for schizophrenia and differential DNA methylation. 675 whole blood derived DNA samples (353 schizophrenia cases and 322 controls) representing phase 1 of our meta-analysis. Bisulfite converted DNA from these samples were hybridized to the Illumina Infinium 450k Human Methylation Beadchip v1.0.
2016-08-01 | E-GEOD-80417 | biostudies-arrayexpress
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
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