Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA123901 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE19347: microRNA expression data from pediatric primary intracranial germ cell tumor GSE19348: expression data from pediatric primary intracranial germ cell tumor GSE19349: Genotyping and analysis of chromosome copy number variation (CNV) from pediatric primary intracranial germ cell tumor Refer to individual Series
2010-06-24 | E-GEOD-19350 | biostudies-arrayexpress
Project description:Autism spectrum disorders (ASD) are common, heritable neurodevelopmental conditions. The genetic architecture of ASD is complex, requiring large samples to overcome heterogeneity. Here we broaden coverage and sample size relative to other studies of ASD by using Affymetrix 10K single nucleotide polymorphism (SNP) arrays and 1168 families with = 2 affected individuals to perform the largest linkage scan to date, while also analyzing copy number variation (CNV) in these families. Linkage and CNV analyses implicate chromosome 11p12-p13 and neurexins, respectively, amongst other candidate loci. Neurexins team with previously-implicated neuroligins for glutamatergic synaptogenesis, highlighting glutamate-related genes as promising candidates for ASD. Keywords: Autism spectrum disorder, Affymetrix SNP genotyping, linkage analysis, copy number analysis, chromosomal rearrangements.
2007-02-20 | GSE6754 | GEO
Project description:Chromosomal abnormalities have been identified in some individuals with Autism Spectrum Disorder (ASD), but their full etiologic role is unknown. Submicroscopic copy number variation (CNV) represents a considerable source of genetic variation in the human genome that contributes to phenotypic differences and disease susceptibility. To explore the contribution CNV imbalances in ASD, we genotyped unrelated ASD index cases using the Affymetrix GeneChip® 500K single nucleotide polymorphism (SNP) mapping array. Keywords: Whole Genome Mapping SNP Genotyping Array
2007-12-20 | GSE9222 | GEO
Project description:Copy-number variation (CNV) genotyping was run on 450 HapMap samples using a custom targeted array. The array contained 105 000 oligos targeted to about 10 000 CNVs.
2009-10-07 | E-MTAB-142 | biostudies-arrayexpress
Project description:We examined six pairs of monozygotic twins discordant (MZD) for schizophrenia and identified copy number variation (CNV) and single nucleotide polymorphism (SNP) differences between affected and unaffected co-twins using the Affymetrix Genome Wide SNP 6.0. Affymetrix SNP arrays were performed according to the manufacurer's protocol on DNA extracted from whole blood CNV analysis was done using Affymetrix Genotyping Console 4.0 and Partek Genotyping Suite
2011-11-11 | E-GEOD-33598 | biostudies-arrayexpress
Project description:Primary uveal melanomas show multiple chromosomal aberrations. To identify genome variation in six human primary uveal melanomas, genome wide copy number variation (CNV) analyses were carried out in human primary uveal melanoma samples using array comparative genome hybridization.
2021-01-25 | GSE138404 | GEO
Project description:Goal: To identify copy number variation in normal individuals using high density, non-polymorphic oligonucleotide probes Background DNA sequence diversity within the human genome may be more greatly affected by copy number variations (CNVs) than single nucleotide polymorphisms (SNPs). Although the importance of CNVs in genome wide association studies (GWAS) is becoming widely accepted, the optimal methods for identifying these variants are still under evaluation. We have previously reported a comprehensive view of CNVs in the HapMap DNA collection using high density 500K EA (Early Access) SNP genotyping arrays which revealed greater than 1,000 CNVs ranging in size from 1kb to over 3Mb. Although the arrays used most commonly for GWAS predominantly interrogate SNPs, CNV identification and detection does not necessarily require the use of DNA probes centered on polymorphic nucleotides and may even be hindered by the dependence on a successful SNP genotyping assay. Results In this study, we have designed and evaluated a high density array predicated on the use of non-polymorphic oligonucleotide probes for CNV detection. This approach effectively uncouples copy number detection from SNP genotyping and thus has the potential to significantly improve probe coverage for genome-wide CNV identification. This array, in conjunction with PCR-based, complexity-reduced DNA target, queries over 1.3M independent NspI restriction enzyme fragments in the 200bp to 1100bp size range, which is a several fold increase in marker density as compared to the 500K EA array. In addition, a novel algorithm was developed and validated to extract CNV regions and boundaries. Conclusions Using a well-characterized pair of DNA samples, close to 200 CNVs were identified, of which nearly 50% appear novel yet were independently validated using quantitative PCR. The results indicate that non-polymorphic probes provide a robust approach for CNV identification, and the increasing precision of CNV boundary delineation should allow a more complete analysis of their genomic organization. Keywords: Copy number variation (CNV) detection
2008-04-24 | GSE9053 | GEO
Project description:The association of genetic variation with disease and drug response, together with improvements in nucleic acids technologies, has given great optimism for the impact of 'genomic medicine'. However, the formidable size of the diploid human genome has prevented the routine application of sequencing methods to deciphering complete individual human genomes, and has so far limited the realization of the full potential of genomics for science and human health. Working towards the goal of harnessing the power of genomics, we sequenced the diploid genome of a single individual, Dr. James D. Watson, using a massively-parallel method of sequencing in picoliter size reaction vessels. Here we report the results of genotyping the subject's DNA using an Affymetrix 500k GeneChip as well as copy number variations as reported by Agilent 244k comparative genomic hybridization arrays. Keywords: Genotyping, copy number variation (CNV), aCGH
2008-02-29 | GSE10668 | GEO
Project description:Renal tumors with complex morphology require extensive workup for accurate classification. Chromosomal aberrations that define subtypes of renal epithelial neoplasms have been reported. We explored if whole-genome chromosome copy number and loss-of-heterozygosity analysis with single nucleotide polymorphism (SNP) arrays can be used to identify these aberrations in cases where morphology was unable to definitively classify these tumors. Keywords: Chromosome copy number and LOH analysis (virtual karyotyping) with SNP Genotyping Arrays Keywords: Genome variation profiling by SNP array
2008-11-01 | GSE11447 | GEO
Project description:Intracranial pediatric germ cell tumors (GCTs) have different histological differentiations, prognosis and clinical behaviors. Prognosis of patients with germinoma and mature teratoma is good, while patients with other types of GCTs, termed as nongerminomatous malignant germ cell tumors (NGMGCTs), require more extensive drug and irradiation treatment regimen. The mechanisms underlying different prognosis of various GCT subgroups remain elusive. We presented the first miRNA profile of pediatric primary intracranial GCTs.
2010-02-26 | GSE19347 | GEO