Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA124811 | ENA |
REPOSITORIES: ENA
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Project description:Purpose: The purpose of this study was to evaluate SNP genotyping methodology as a means to detect chromosomal abnormalities previously diagnosed by G-band karyotype or fluorescence in situ hybridization (FISH) analysis and to determine the frequency of sub-microscopic (cryptic) chromosomal alterations in these subjects. Methods: We used the Illumina HumanHap Beadchip platform to genotype 40 individuals having previously detected chromosomal anomalies (by G-banded and/or FISH analysis). The resulting data were analyzed for signal intensity (log R ratio) and allelic composition (B allele frequency). Results: SNP array analysis detected 100% of previously identified cytogenetic abnormalities. Changes or clarifications of the ISCN karyotype designation assigned by conventional cytogenetic and/or FISH analysis were made in 82 % of the cases (32 of 39). Nine of the 39 cases (23%) involved a reassignment of an abnormal band while an additional 9 of the 39 (23%) resulted in a clarification of a sub-band assignment. In 8 more of the 39 cases (21%) the previously reported alterations were confirmed, however the SNP analysis also identified related cryptic alterations. SNP analysis not only confirmed FISH-detected abnormalities but also more precisely mapped the breakpoints of 6/6 patients. Investigations into the origin of de novo abnormalities in 15 trio families established that 12 /15 occurred on the paternal chromosome. Conclusions: SNP genotyping array analysis, confirmed all previously detected structural chromosomal abnormalities and provided additional, clinically-relevant genomic information in 82% of these alterations.
2011-02-22 | GSE20623 | GEO
Project description:Purpose: The purpose of this study was to evaluate SNP genotyping methodology as a means to detect chromosomal abnormalities previously diagnosed by G-band karyotype or fluorescence in situ hybridization (FISH) analysis and to determine the frequency of sub-microscopic (cryptic) chromosomal alterations in these subjects. Methods: We used the Illumina HumanHap Beadchip platform to genotype 40 individuals having previously detected chromosomal anomalies (by G-banded and/or FISH analysis). The resulting data were analyzed for signal intensity (log R ratio) and allelic composition (B allele frequency). Results: SNP array analysis detected 100% of previously identified cytogenetic abnormalities. Changes or clarifications of the ISCN karyotype designation assigned by conventional cytogenetic and/or FISH analysis were made in 82 % of the cases (32 of 39). Nine of the 39 cases (23%) involved a reassignment of an abnormal band while an additional 9 of the 39 (23%) resulted in a clarification of a sub-band assignment. In 8 more of the 39 cases (21%) the previously reported alterations were confirmed, however the SNP analysis also identified related cryptic alterations. SNP analysis not only confirmed FISH-detected abnormalities but also more precisely mapped the breakpoints of 6/6 patients. Investigations into the origin of de novo abnormalities in 15 trio families established that 12 /15 occurred on the paternal chromosome. Conclusions: SNP genotyping array analysis, confirmed all previously detected structural chromosomal abnormalities and provided additional, clinically-relevant genomic information in 82% of these alterations. To evaluate potential chromosomal abnormalities in patients, we measured SNPs using Illumina 550K and 300K arrays. In some cases we also measured SNPs in parents to determine whether deletions or duplications occurred de novo or were inherited.
2011-02-22 | E-GEOD-20623 | biostudies-arrayexpress
Project description:We present here a genome-wide map of abnormalities found in diagnostic samples from 45 adults and adolescents with acute lymphoblastic leukemia (ALL). 500K single nucleotide polymorphism (SNP) array analysis uncovered frequent genetic abnormalities, with cryptic deletions constituting half of the detected changes, implying that microdeletions are a characteristic feature of this malignancy. Importantly, the pattern of deletions resembled that recently reported in pediatric ALL, suggesting that adult, adolescent, and childhood cases may be more similar on the genetic level than previously thought. Thus, 70% of the cases displayed deletion of one or more of the CDKN2A, PAX5, IKZF1, ETV6, RB1, and EBF1 genes. Furthermore, several genes not previously implicated in the pathogenesis of ALL were identified as possible recurrent targets of deletion. In total, the SNP array analysis identified 367 genetic abnormalities not corresponding to known copy number polymorphisms, with all but two cases (96%) displaying at least one cryptic change. This SNP array study is the first to specifically address adult and adolescent ALL, and the resolution level is the highest used to date to investigate a malignant hematologic disorder. Our findings provide insights into the leukemogenic process and may be clinically important in adult and adolescent ALL. Most importantly, we report that microdeletions of key genes appear to be a common, characteristic feature of ALL that is shared between different clinical, morphological, and cytogenetic subgroups. Keywords: Genomic analysis of acute lymphoblastic leukemia samples
2008-04-10 | GSE9611 | GEO
Project description:Chronic myelomonocytic leukemia (CMML) is a clonal hematopoietic disorder with heterogeneous clinical, morphological and genetic characteristics. Clonal cytogenetic abnormalities are found in 20-30% of patients with CMML. Patients with low risk cytogenetic features (normal karyotype and isolated loss of Y chromosome) account for approximately 80% of CMML patients and often fall into the low risk categories of CMML prognostic scores. SNP-A were performed in 82 CMML patients with low risk karyotypes and uninformative results for conventional G-banding cytogenetics (CC).
2015-12-01 | GSE67460 | GEO
Project description:Gene expression profiles, high-throughput SNP genotyping, and pathway analysis effectively distinguish chRCC from oncocytoma. We have generated a novel transcript predictor that is able to discriminate between the two entities accurately, and which has been validated both in an internal and an independent data-set, implying generalizability. A cytogenetic alteration, loss of chromosome 1p, common to renal oncocytoma and chRCC has been identified, providing the opportunities for identifying novel tumor suppressor genes and we have identified a series of immunohistochemical markers that are clinically useful in discriminating chRCC and oncocytoma.
2011-02-02 | GSE20376 | GEO
Project description:Gene expression profiles, high-throughput SNP genotyping, and pathway analysis effectively distinguish chRCC from oncocytoma. We have generated a novel transcript predictor that is able to discriminate between the two entities accurately, and which has been validated both in an internal and an independent data-set, implying generalizability. A cytogenetic alteration, loss of chromosome 1p, common to renal oncocytoma and chRCC has been identified, providing the opportunities for identifying novel tumor suppressor genes and we have identified a series of immunohistochemical markers that are clinically useful in discriminating chRCC and oncocytoma. Oncocytoma and Chromophobe RCC samples - SNP chip analysis
2011-02-02 | E-GEOD-20376 | biostudies-arrayexpress
Project description:With the advancement of molecular technology, fetal talipes equinovarus (TE) is believed to be not only associated with chromosome aneuploidy, but also related to chromosomal microdeletion and microduplication. The study aimed to explore the molecular etiology of fetal TE and provide more information for the clinical screening and genetic counseling of TE by CMA.This retrospectively study included 131 fetuses with TE identified by ultrasonography. Conventional karyotyping and SNP array analysis were performed for all the subjects. They were divided into isolated TE group (n=55) and complex group (n=76) according to structural anomalies.Among the total of 131 fetuses, karyotype analysis found 12(9.2%) abnormal results, while SNP array found 27 (20.6%) cases. Trisomy 18 was detected most frequently among abnormal karyotypes. The detection rate of SNP array was significantly higher than that of traditional chromosome karyotype analysis.SNP array detected 15 (11.5%) cases of submicroscopic abnormalities that karyotype analysis did not find. The most common CNV was the 22q11.2 microdeletion. For both analyses, the overall detection rates were significantly higher in the complex TE group than in the isolated TE group. The incremental yield of chromosomal abnormalities in fetuses with unilateral TE (22.0%) was higher than in fetuses with bilateral TE (19.8%), but this difference was not statistically significant.Abnormal chromosomes were most frequently detected in fetuses with TE plus cardiovascular system abnormalities.Fetal TE is related to chromosomal microdeletion or microduplication. Prenatal diagnosis is recommended for fetuses with TE, and CMA testing is preferred. CMA can improve the detection rate of chromosomal abnormalities associated with fetal TE, especially in pregnancies with complex TE.
2023-10-22 | GSE230532 | GEO
Project description:Correlate the gene expression profiles with the most relevant patterns of chromosome abnormalities (cytogenetic subgroups of gliomas) and the histopathology.
2013-01-05 | GSE43289 | GEO
Project description:Cytogenetic profiles of 50 meningiomas using high-density GeneChip Mapping 500K set and Genome-Wide Human SNP 6.0 Array in the tumor tissues and in the peripheral blood of the same patients. A total of two hundred 500k arrays (100 tumor samples and 100 blood samples) and 14 SNP6.0 arrays (7 tumour samples and 7 peripheral blood samples) were studied to explore the most common recurrent chromosomal abnormalities (gains and losses) in meningiomas. Our results confirm that del(22q) (52%) and del(1p) (16%) (common deleted regions: 22q11.21-22q13.3. and 1p31.2-p36.33) are the most frequent abnormalities. Additionally, recurrent monosomy 14 (8%), del(6p) (10%), del(7p) (10%) and del(19p) (6%) were also observed, while copy number variation (CNV) patterns consistent with recurrent chromosome gains, gene amplification was absent or rare. Based on their overall SNP profiles meningiomas could be classified into: i) diploid cases, ii) meningiomas with a single chromosome change (e.g. monosomy 22/del(22q) and iii) tumours with ≥2 altered chromosomes.
2012-11-30 | GSE42624 | GEO
Project description:Chromosomal abnormalities, such as structural and numerical abnormalities, are a common occurrence in cancer. The close association of homologous chromosomes during interphase, a phenomenon termed somatic chromosome pairing, has been observed in cancerous cells, but the functional consequences of somatic pairing have not been established. Gene expression profiling studies revealed that somatic pairing of chromosome 19 is a recurrent chromosomal abnormality in renal oncocytoma, a neoplasia of the adult kidney. Somatic pairing was associated with significant disruption of gene expression within the paired regions and resulted in the deregulation of the prolyl-hydroxylase EGLN2, a key protein that regulates the oxygen-dependent degradation of hypoxia-inducible factor (HIF). Overexpression of EGLN2 in renal oncocytoma increased ubiquitin-mediated destruction of HIF and concomitantly suppressed the expression of several HIF-target genes, including the pro-death BNIP3L gene. The transcriptional changes that are associated with somatic pairing of chromosome 19 mimic the transcriptional changes that occur following DNA amplification. Therefore, in addition to numerical and structural chromosomal abnormalities, alterations in chromosomal spatial dynamics should be considered as genomic events that are associated with tumorigenesis. The identification of EGLN2 as a significantly deregulated gene that maps within the paired chromosome region directly implicates defects in the oxygen-sensing network to the biology of renal oncocytoma. Keywords: Gene expression profiling, SNP analysis, renal, tumor Oncocytoma and Chromophobe RCC samples - expression profiling and SNP chip analysis
2010-05-25 | E-GEOD-8271 | biostudies-arrayexpress