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Genome viewer

Manufactured by Illumina

The Genome Viewer is a software tool designed to visualize and analyze genomic data. It provides a comprehensive view of the genome, allowing users to navigate, explore, and interact with genetic information.

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5 protocols using genome viewer

1

Genotyping DNA Samples with HumanOmni1-Quad BeadChip

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Two-hundred-nanogram aliquots of DNA from the 67 paired samples were genotyped with the HumanOmni1-Quad BeadChip (Illumina) in accordance with the manufacturer’s protocols. The data were assembled using GenomeStudio software (Illumina). For the single-nucleotide mutation detection, we developed the Bayesian data analysis pipeline using SNP microarray data (see “Exome analysis”). Localization of intragenic breakpoints, in which the end point of a deletion or duplication lies within a gene, in each of the T samples was clearly identified by the visual inspection of the B allele frequency plots on the Illumina Genome Viewer in the GenomeStudio software (Supporting Information Fig. S1). Copy number data has been obtained using Allele-Specific Copy Number Analysis of Tumors (ASCAT; http://heim.ifi.uio.no/bioinf/Projects/ASCAT/)22 (link) and Global Parameter Hidden Markov Model (GPHMM; http://bioinformatics.ustc.edu.cn/gphmm/)23 (link) software.
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2

Whole-Genome SNP Genotyping via Illumina HumanOmni 2.5 M Array

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Illumina HumanOmni 2.5 M SNP array was used for whole genome SNP genotyping. A total of 200 ng genomic DNA from four members (III:3, III:4, III:5, IV:2) of a family was used as a starting material. Briefly, 0.1 N NaOH was used for DNA denaturation and whole genome was amplified out with Random Primers Mix (RPM) using Multi Sample Master Mix (MSM). Enzymatic fragmentation of the amplified DNA was carried out using Fragmentation Mix (FMS) followed by precipitation using Precipitation Mix 1 (PM1) and 2-propanol. Fragmented DNA was hybridized to BeadChip by denaturing the sample and dispensing 35 ul of the sample onto the BeadChip section followed by incubation for 18 hours at 48 °C in the hybridization oven. Single base extension on BeadChips was performed after washing and staining. Single base extension reaction incorporates labeled nucleotides into the extended primers. Scanning of BeadChips was performed in Illumina iScan using iScan control software. Illumina GenomeStudio software and HomozygosityMapper were used to call loss of heterozygous (LOH) regions while the Illumina Genome Viewer incorporated in GenomeStudio was used to detect copy number variations (CNVs) in the genome. Identity-by-descent (IBD) analysis was carried out using PLINK [26 (link)] to identify shared genomic regions.
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3

Illumina CNV Analysis in Pedigree

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CNV analysis was conducted for seven samples in the family pedigree (Fig. 1A). The Illumina cnvPartition v3.2.0 CNV Analysis Plug-in for GenomeStudio Software was used to calculate CNV and confidence values for all chromosomes. The default value was adopted for each parameter of the plug-in. The CNV regions were listed using the Illumina CNV Region Report Plug-in v2.1.1. The distributions of the CNV value, log R ratio, and B allele frequency were visualized using the Illumina Genome Viewer embedded in GenomeStudio Software to confirm whether the detected CNVs in the genes with high LOD scores were false positives or true negatives.
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4

Visual Confirmation of CNV Calls

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To ensure high-quality of the EGCUT CNV dataset, CNVs detected by PennCNV and QuantiSNP algorithms were further visually confirmed with Illumina Genome Viewer. For each CNV locus, signal intensity data for all corresponding family members was loaded simultaneously and visually inspected to confirm CNV calls and family members with no CNV call. CNV regions containing no visually detectable CNVs (or CNVs not called but visually distinguishable) were excluded from the further analyses.
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5

Comprehensive Autosomal CNV Detection

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Candidate autosomal CNVs were selected if they met the following criteria: at least 10 probes, at least 25 Kb in length and less than 35% overlap with: common HapMap3 copy number polymorphisms, common CNV blocks identified in the CHOP CNV database, controls in this project (of the same CNV type), other cases with unrelated birth defects and controls that we previously genotyped. The UCSC genome browser [38 (link)] was used to filter out CNVs that had substantial overlap with multiple Database of Genomic Variants (DGV) [39 (link)] entries (of the same CNV type, release date– 2014/10/16). Sex chromosome CNVs that were at least 25 Kb in length were manually reviewed for overlap with control subjects, other birth defect cases and CNVs catalogued in DGV.
Log-R ratio (LRR) and B-allele frequency (BAF) plots across each candidate CNV region were manually reviewed to subjectively assess the quality and validity of generated CNV calls using the Illumina Genome Viewer in Genome Studio.
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