Project description:SNP profiles from 30 pheochromocytomas and paragangliomas were analyzed to detect identical-by-descent haplotypes, highlighting a founder mutation of SDHD in two samples.
Project description:We present a computational tool, FounderTracker, for discovering founder mutations in cancer, based on the detection of significantly conserved haplotypes in tumor SNP profiles. We demonstrate the relevance of the approach by identifying founder mutations in two different cancers, and we show with simulated data that FounderTracker can detect rare founder mutations with high power and negligible false discovery rate. FounderTracker is a powerful tool for discovering novel founder mutations that may explain part of the "missing" heritability in cancer. This SuperSeries is composed of the SubSeries listed below.
Project description:SNP profiles from 30 pheochromocytomas and paragangliomas were analyzed to detect identical-by-descent haplotypes, highlighting a founder mutation of SDHD in two samples. 30 pheochromocytomas and paragangliomas were analyzed with Illumina Human610-Quad v1.0 BeadChips.
Project description:The Ashkenazi Jewish population has long been considered a genetic isolate and presumed to have the genetic signatures of founder effects and isolation. We genotyped a large cohort of Ashkenazi Jews and analyzed their genetic structure compared to other worldwide populations. We genotyped 471 normal control Ashkenazi Jewish individuals with the Affymetrix 6.0 array and analyzed their genetic structure relative to other Europe and worldwide populations. We measured heterozygosity, linkage disequilibrium, identity-by-descent and used extended haplotype tests of positive selection.
Project description:sPNETs are highly malignant embryonal brain tumours of poor prognosis. The underlying biology is poorly understood. To address this we therefore performed high resolution genetic analysis. 36 CNS PNETs and 8 PBs were analysed using the Affymetrix 100K and 500K Mapping Set to identify copy number imbalance at both the chromosome and gene level. Keywords: Affymetrix 100K SNP array, Affymetrix 500K SNP arrays
Project description:Copy number profiling of 36 ovarian tumors on Affymetrix 100K SNP arrays Thirty-six ovarian tumors were profiled for copy-number alterations with the Affymetrix 100K Mapping Array. Copy number profiling of 36 ovarian tumors on Affymetrix 500K SNP arrays Sixteen ovary tumors were profiled for copy-number alterations with the high-resolution Affymetrix 500K Mapping Array.
Project description:Mutations in the nucleophosmin 1 (NPM1) gene are considered as a founder event in the pathogenesis of acute myeloid leukemia (AML). To address the role of clonal evolution in relapsed NPM1 mutated (NPM1mut) AML, we applied high-resolution genome-wide single-nucleotide polymorphism (SNP) array profiling to detect copy number alterations (CNA) and uniparental disomies (UPD) and performed comprehensive gene mutation screening in 53 paired bone marrow/peripheral blood samples obtained at diagnosis and relapse. At diagnosis, 15 aberrations (CNAs, n=10; UPDs, n=5) were identified in 13 patients (25%), whereas at relapse 56 genomic alterations (CNAs, n=46; UPDs, n=10) were detected in 29 patients (55%) indicating an increase in genomic complexity. Recurrent aberrations acquired at relapse included deletions affecting tumor suppressor genes [ETV6 (n=3), TP53 (n=2), NF1 (n=2), WT1 (n=3), FHIT (n=2)] and homozygous FLT3 mutations acquired via UPD13q (n=7). DNMT3A mutations (DNMT3Amut) showed the highest stability (97%). Persistence of DNMT3Amut in 5 patients who lost NPM1mut at relapse suggests that DNMT3Amut may precede NPM1mut in AML pathogenesis. Of note, all relapse samples shared at least one genetic aberration with the matched primary AML sample implying common ancestral clones. In conclusion, our study reveals novel insights into clonal evolution in NPM1mut AML. Bone marrow or peripheral blood samples from diagnosis, remission and relapse of 53 NPM1 mutated AML patient were analyzed on the Affymetrix Genome-Wide Human SNP 6.0 Array. Raw data (CEL-Files) were transformed to genotyping files (CHP) with Genotyping Console Version 4.2 from Affymetrix. Bioinformatic evaluation of CNAs was performed using dChipSNP and circular binary segmentation .
Project description:In addition to KIT and PDGFRA mutations, sequential accumulation of other genetic events is involved in the development and progression of gastrointestinal stromal tumors (GISTs). Until recently, the significance of these other alterations has not been thoroughly investigated. The combination of gene expression profiling and high-resolution genomic copy number analysis offers a detailed molecular portrait of GISTs, providing an essential comprehensive knowledge necessary to guide the discovery of novel target genes involved in tumor development and progression. Fresh tissue specimens from 25 patients with GIST were collected and high-resolution genomic copy number analyses were performed using Affymetrix SNP array 6.0.
Project description:sPNETs are highly malignant embryonal brain tumours of poor prognosis. The underlying biology is poorly understood. To address this we therefore performed high resolution genetic analysis. 36 CNS PNETs and 8 PBs were analysed using the Affymetrix 100K and 500K Mapping Set to identify copy number imbalance at both the chromosome and gene level. Keywords: Affymetrix 100K SNP array, Affymetrix 500K SNP arrays 36 CNS PNETs and 8 PBs with constitutional controls
Project description:In addition to KIT and PDGFRA mutations, sequential accumulation of other genetic events is involved in the development and progression of gastrointestinal stromal tumors (GISTs). Until recently, the significance of these other alterations has not been thoroughly investigated. The combination of gene expression profiling and high-resolution genomic copy number analysis offers a detailed molecular portrait of GISTs, providing an essential comprehensive knowledge necessary to guide the discovery of novel target genes involved in tumor development and progression. Fresh tissue specimens from 25 patients with GIST were collected and high-resolution genomic copy number analyses were performed using Affymetrix SNP array 6.0. GIST tumor samples from mutated (KIT or PDGFRA) or Wild Type patients were labeled for hybridization on Affymetrix microarrays. Copy number analysis of Affymetrix SNP6.0 arrays was performed for 25 GIST samples, then compared to gene expression data.