10 Intellectual Disability samples for clinically relevant CNV detection
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Joep de Ligt
PROVIDER: E-GEOD-46060 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:We saw a patient who presented with respiratory distress from birth due to interstitial lung disease. Before the age of three months a diagnosis of nephrotic syndrome was made. Lung biopsy revealed pulmonary interstitial glycogenosis. Despite extensive investigations, no known genetic or infectious cause was found for the congenital nephrotic syndrome. The patient died at the age of 8 months due to respiratory failure. A 20 Mb homozygous region was identified on chromosome 17 in the patientM-bM-^@M-^Ys DNA, revealing a novel homozygous missense variant in ITGA3 gene. Genomic DNA was obtained from peripheral blood samples of the patient with interstitial lung fibrosis and nephrotic syndrome. Copy number variation (CNV) screening by means of microarray analyses was carried out on the Affymetrix GeneChip 250k (NspI) SNP array platform (Affymetrix, Inc., Santa Clara, CA, USA), which contains 25-mer oligonucleotides representing a total of 262,264 SNPs. Hybridizations were performed according to the manufacturerM-bM-^@M-^Ys protocols. Copy numbers and M-bM-^@M-^\long contiguous stretches of homozygosityM-bM-^@M-^] (LCSH/LOH) were determined using the 2.0 version of the CNAG (Copy Number Analyzer for Affymetrix GeneChip mapping) software package (Nannya Y, Sanada M, et al (2005) "A robust algorithm for copy number detection using high-density oligonucleotide single nucleotide polymorphism genotyping arrays." Cancer Res; 65: 6071M-bM-^@M-^S6079.). The average resolution of this array platform, described by McMullan et al is 150M-bM-^@M-^S200 kb (Mc McMullan DJ, Bonin M et al. (2009), M-bM-^@M-^\Molecular karyotyping of patients with unexplained mental retardation by SNP arrays: a multicenter studyM-bM-^@M-^] Hum Mutat. Jul;30(7):1082-92).
2012-08-28 | E-GEOD-40405 | biostudies-arrayexpress
Project description:DNA copy number alterations and mutations were characterised by bulk SNP anlaysis and exome sequencing (not sown here) in three acute lymphoblastic leukaemia samples and one establish cell line REH. Further single cell experiments of these cases investigated the mutation and copy number targets previously defined exploring the sub-clonal populations and phylogenic trees within each leukaemia. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from cryopreserved diagnostic bone marrow or peripheral blood samples. Copy number analysis of Affymetrix SNP6 arrays or Cytogenetics whole genome 2.7M arrays was performed for three leukaemic samples and one established cell line REH. Remission samples were only available for two of the leukaemia samples (Case A and Case B) and therefore 20 HapMap Caucasien samples were used as controls for the SNP6 array expeeriments.
2013-07-26 | E-GEOD-49215 | biostudies-arrayexpress
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:This was a retrospective comparison study of SNP-based preimplantation genetic screening (SNP-PGS) and FISH-based preimplantation genetic diagnosis (FISH-PGD) for 575 couples in total with chromosome translocations, including 169 couples treated by SNP-PGS between October 2011 and August 2012, and 406 couples treated by FISH- PGD between January 2005 and October 2011. In total, 773 blastocysts obtained from 169 couples were biopsied and frozen, embryo transfer was carried out on the balanced embryos. The PGS results and pregnancy outcomes were compared with those of FISH-PGD for 406 translocation carriers with 3,968 embryos biopsied on day 3. Of the 773 biopsied blastocysts, reliable SNP-PGS results were obtained for 717 (92.76%). For Robertsonian translocation carriers, the rate of normal/balanced embryos, embryos with translocation-related abnormalities, and embryos with abnormalities unrelated to a translocation were 57.80%, 23.39% and 18.81%, respectively. In reciprocal translocation carriers, the rate of normal/balanced embryos, embryos with translocation-related abnormalities and embryos with abnormalities unrelated to translocation were 35.47%, 52.10% and 12.42%, respectively. There was no significant differences in patient age, basal endocrine level and the average number of retrieved oocytes and good quality day 3 embryos before biopsy in the SNP-PGS group compared with the FISH-PGD group. The number of embryos biopsied in the FISH-PGD group was higher than in the SNP-PGS group. However, the pregnancy rate with successful delivery per oocyte retrieval and the implantation rate were both lower in the FISH-PGD group than in the SNP-PGS group. The spontaneous abortion rate was higher in the FISH-PGD group than in the SNP-PGS group. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from trophectoderm cells.
2013-03-11 | E-GEOD-44994 | biostudies-arrayexpress
Project description:Lung cancer is the leading cause of death from malignant diseases worldwide, with the non-small cell (NSCLC) subtype accounting for the majority of cases. NSCLC is characterized by frequent genomic imbalances and copy number variations (CNVs), but the epigenetic aberrations that are associated with clinical prognosis and therapeutic failure remain not completely identify. In the present study, a total of 55 lung cancer patients were included and we conducted genomic and genetic expression analyses, immunohistochemical protein detection, DNA methylation and chromatin immunoprecipitation assays to obtain genetic and epigenetic profiles associated to prognosis and chemoresponse of NSCLC patients. Finally, siRNA transfection-mediated genetic silencing and cisplatinum cellular cytotoxicity assays in NSCLC cell lines A-427 and INER-37 were assesed to described chemoresistance mechanisms involved. Our results identified high frequencies of CNVs (60% of cases) in the 7p22.3-p21.1 and 7p15.3-p15.2 cytogenetic regions. However, overexpression of genes, such as MEOX2, HDAC9, TWIST1 and AhR, at 7p21.2-p21.1 locus occurred despite the absence of CNVs and little changes in DNA methylation. In contrast, the promoter sequences of MEOX2 and TWIST1 displayed significantly lower/decrease in the repressive histone mark H3K27me3 and increased in the active histone mark H3K4me3 levels. Finally these results correlate with poor survival in NSCLC patients and cellular chemoresistance to oncologic drugs in NSCLC cell lines in a MEOX2 and TWIST1 overexpression dependent-manner. In conclusion, we report for the first time that MEOX2 participates in chemoresistance irrespective of high CNV, but it is significantly dependent upon H3K27me3 enrichment probably associated with aggressiveness and chemotherapy failure in NSCLC patients, however additional clinical studies must be performed to confirm our findings as new probable clinical markers in NSCLC patients. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from fresh frozen, and paraffin embedded lung tumor samples Copy number analysis of Affymetrix 500K SNP arrays was performed for 33 lung tumor samples, including lung precursor metaplasia, lung tumors and cell lines. Six samples were also hybridized on the Affymetrix SNP 6.0 array
2014-12-10 | E-GEOD-62407 | biostudies-arrayexpress
Project description:Chromosomal DNA copy number alterations are a hallmark of human malignancies, including hepatocellular carcinoma (HCC). However, which oncogenes or tumor suppressors located on regions with DNA copy number aberration may contribute to HCC initiation and progression still remain obscure. Here we performed a genome-wide DNA copy number analysis on human HCC samples to identify novel potential oncogenes or tumor suppressors with DNA copy number aberrations. Genome-wide DNA copy numbers analysis was performed with single nucleotide polymorphism micoarray. RT-PCR and immunohistochemical staining were employed to evaluate the NOXIN expression in HCC samples. Colony formation, cell cycle analysis and tumor xenograft assays were performed to assess the role of NOXIN in HCC cells. Reciprocal co-immunoprecipitation experiments were used to detect the interaction between NOXIN and DNA polymerase a primase. Genome-wide DNA copy number analysis on 43 paired HCC samples indentified the smallest DNA amplification region containing NOXIN, along with the elevated transcript. NOXIN overexpression was significantly associated with HCC tumor stage. Enforced NOXIN promoted cellular proliferation, colony formation, cell migration and in vivo tumorigenicity, whereas RNA interference against NOXIN can attenuate these effects. Interestingly, NOXIN overexpression can accelerate the G1-S transition of cell cycle progression through enhancing DNA synthesis in HCC cells, as indicated by bromodeoxyuridine incorporation. Furthermore, NOXIN can interact with DNA polymerase a, implying that NOXIN may promote de novo DNA synthesis via affiliating formation of DNA polymerase-primase complex. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from hepatocellular carcinoma and adjacent liver tissue samples. Copy number analysis of Affymetrix 500K SNP arrays was performed for 43 hepatocellular carcinoma tissue samples, which their adjacent liver tissues were used as references for copy number inference.
2013-07-30 | E-GEOD-49317 | biostudies-arrayexpress
Project description:Solid tumors, including head and neck squamous cell carcinomas (HNSCC), arise as a result of genetic and epigenetic alterations in a sustained stress environment. Since it has been hypothesized that epigenetic alterations may act by providing the second carcinogenic hit in gene silencing, we sought to identify genome-wide DNA copy number alterations and CpG dinucleotide methylation events and examine the global/local relationships between these types of alterations in HNSCC. Importantly, we found that the global pattern of copy number alterations in these tumors was significantly associated with tumor methylation profiles. However, at the local level, gene promoter regions did not exhibit a correlation between copy number and methylation , and the spectrum of genes affected by each type of alteration was unique. A case-series of 19 tumors and matched blood references were hybrizided to Affymetrix Human Mapping 500k arrays and copy number was determined via HMM with Copy Number Analysis Tool v4.0.1. This study was designed to investigate the relationship between copy number and DNA methylation alterations in head and neck squamous cell carcinoma. Data in this submission relates to the copy number portion only. Each patient tumor has been de-identified and assigned a number (1-19) and the blood samples with the same number correspond to the respectively-numbered tumor. The supplementary file 'GSE20939_tumor_copy_number.txt' contains the (blood normalized) copy number calls for each tumor sample.
2010-11-11 | E-GEOD-20939 | biostudies-arrayexpress
Project description:Integrated profiling of somatic molecular alterations present in tumors is necessary to further our understanding of the tumorigenic process. We investigated the potential relationships between gene copy number alterations and DNA methylation profiles in a case series of pleural mesotheliomas (n=23). Gene copy number (CN) alterations profiled with 500K SNP arrays and DNA methylation measured at over 750 cancer-related genes with methylation bead-arrays were examined concomitantly. Considering each probed locus, there were no instances of significantly correlated CN alteration and methylation (no loci with Q < 0.05) and averaging loci over their associated genes revealed only two genes with significantly correlated CN and methylation alterations (Q < 0.04). In contrast to the lack of discrete correlations, the overall extent of tumor CN alteration was significantly associated with DNA methylation profile when comparing CN alteration extent among methylation profile classes (P < 0.02), and there was evidence that this association was partially attributable to prevalent allele loss observed at the maintenance DNA methyltransferase DNMT1. Taken together, this work indicates a strong association between global genetic and global epigenetic dysregulation in mesothelioma rather than a discrete, local coordination of gene inactivation, and further highlights the utility and necessity of integrative genomics approaches in cancer biology. From the total study population, 23 tumors from the incident case series were chosen for copy number alteration profiling by hybridizing 5ml containing ⥠50ng/ml of tumor or matched peripheral blood DNA to each of the two GeneChips® that comprise the Human Mapping 500K single-nucleotide polymorphism array set (Affymetrix, Santa Clara, CA), following manufacturer protocols and standard operating procedures at the Harvard Partners Microarray Core servicing facility. Probe intensities at each locus were determined in the GCOS software and genotypes calls were generated using the Genotyping Analysis Software (Affymetrix). Probe signals were normalized to their matched referent peripheral blood sample data using the Copy Number Analysis Tool v4.0.1 software (CNAT) (Affymetrix) with median scaling and default tuning parameters, and copy number states were inferred by Hidden Markov Model analysis. The supplementary file 'GSE21057_tumor_copy_number.txt' contains the (blood-normalized) copy number calls for each tumor sample.
2010-07-31 | E-GEOD-21057 | biostudies-arrayexpress
Project description:Gene modified autologous hematopoietic stem cells (HSC) can provide significant clinical benefits to patients suffering from X-linked chronic granulomatous disease (X-CGD), a rare inherited immunodeficiency characterized by recurrent, often life threatening bacterial and fungal infections. Here we report on the molecular and cellular events observed in two patients treated by gene therapy in 2004. After the initial resolution of bacterial and fungal infections, both patients exhibited silencing of transgene expression due to methylation of the viral promoter, and myelodysplasia with monosomy 7 as a result of insertional activation of EVI1. One patient died from overwhelming sepsis 27 months after gene therapy, whereas a second patient underwent an allogeneic HSC transplantation. Our data shows that forced overexpression of MDS1/EVI1 or EVI1 in human cells disrupts normal centrosome duplication, linking MDS1/EVI1 activation to the development of genomic instability, monosomy 7 and clonal progression towards myelodysplasia. Genomic copy number alterations were detected by analyzing the fluorescence signal intensities of each SNP on the GeneChip Human Mapping 100K array st (Affymetrix, Santa Clara, Ca) with the Copy Number Analyzer for Affymetrix GeneChip 100K arrays (CNAT) version 2.0. The log2 ratio of each SNP, the local averaged log2 signal ratio (averaged for 10 SNPs) and the inferred chromosome copy number according to the Hidden Markov Model (HMM) were calculated. Copy number analysis of Affymetrix 100K SNP arrays was performed for one young adult with the X-linked chronic granulomatous disease (X-CGD)
2010-01-12 | E-GEOD-19523 | biostudies-arrayexpress
Project description:Chromosomal structural mutations play an important role in determining the transcriptional landscape of human breast cancers. We determined that pro-oncogenic and anti-oncogenic genes are clustered throughout the genome and that these clusters coincide with regions of segmental amplification and deletion. We constructed detailed structural mutation maps of representative breast cancers and found that tandem duplications appear to nucleate regions for amplification. Subsequent rearrangements link distant pro-oncogenic elements for co-amplification, and are associated with loss of tumor suppressors. We show that genes engaged in co-amplifications or conjoint deletions on 17q and 8q have pro-growth effects that are additive in nature. Our results suggest structural mutations efficiently orchestrate the gain and loss of cancer gene cassettes that engage many oncogenic pathways simultaneously. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from fresh-frozen breast tumors with >80% tumor cell content and their paired peripheral blood samples. Copy number analysis of the SNP arrays was done using the copy number pipeline implemented into Partek software version 6.5
2013-06-29 | E-GEOD-48377 | biostudies-arrayexpress