Project description:Genomic DNA was extracted from human islets using Dneasy Blood & Tissue Kit (QIAGEN) with RNase A treatment. 200-500ng DNA was genotyped using InfiniumOmni2-5-8v Genotyping BeadChips (Illumina).DNA was isolated from human islet cells from various donors. DNA was genotyped using Illumina Infinium whole-genome genotyping array. Genotypes were called with GenomeStudio (v.2.0.4) using default settings. Genotypes that passed quality filters (missing<0.05, minor allele frequency (MAF>0.01), non-ambiguous alleles defined by AT/GC variants with MAF>40%) were exported.
Project description:477 spring-type Brassica napus (canola) lines from a hybrid breeding programme were genotyped using the Brassica Infinium™ 60k genotyping array.
Project description:Illumina Infinium whole genome genotyping (WGG) arrays are increasingly being applied in cancer genomics to study gene copy number alterations and allele-specific aberrations such as loss-of-heterozygosity (LOH). Methods developed for normalization of WGG arrays have mostly focused on diploid, normal samples. However, for cancer samples genomic aberrations may confound normalization and data interpretation. Therefore, we examined the effects of the conventionally used normalization method for Illumina Infinium arrays when applied to cancer samples. We demonstrate an asymmetry in the detection of the two alleles for each SNP, which deleteriously influences both allelic proportions and copy number estimates. The asymmetry is caused by a remaining bias between the two dyes used in the Infinium II assay after using the normalization method in Illumina’s proprietary software (BeadStudio). We propose a quantile normalization strategy for correction of this dye bias. We tested the normalization strategy using 535 individual hybridizations from 10 data sets from the analysis of cancer genomes and normal blood samples generated on Illumina Infinium II 300k version 1 and 2, 370k and 550k BeadChips. We show that the proposed normalization strategy successfully removes asymmetry in estimates of both allelic proportions and copy numbers. Additionally, the normalization strategy reduces the technical variation for copy number estimates while retaining the response to copy number alterations. The proposed normalization strategy represents a valuable low-level analysis tool that improves the quality of data obtained from Illumina Infinium arrays, in particular when used for LOH and copy number variation studies.
Project description:To better understand the natural history of bone marrow failure syndromes, we analyzed 124 single nucleotide polymorphism arrays (SNP-A) from a comprehensively characterized cohort of 91 patients who had SNP-A for clinical evaluation of BMFS. 67 samples from 51 patients were genotyped with the Quad610, and 57 samples from 54 patients were genotyped with the Omni1-Quad. This submission includes 67 samples from 51 patients that were genotyped with Illumina Quad610 Beadchip. Illumina Infinium SNP-A genotyping was performed on DNA extracted from bone marrow aspirates using standard manufacturer's protocol
Project description:We report the DNA methylation profile of 4 chordoma cell lines (UCH1, UCH7, UM-Chor and MUG-Chor) and 1 ostesarcoma cell line (U2OS) using Illumina Infinium MethylationEPIC array
Project description:Illumina Infinium MethylationEPIC BeadChip (850k) array analysis of DNA methylation of 12 different growing teratoma tissues. Samples were subgrouped based on growth speed into GTSslow to GTSrapid (see corresponding publication).