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Humanomniexpress beadchip kit

Manufactured by Illumina
Sourced in United States

The HumanOmniExpress BeadChip Kit is a high-throughput genotyping array designed to interrogate over 700,000 genetic markers across the human genome. It provides comprehensive genome-wide coverage for research applications.

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8 protocols using humanomniexpress beadchip kit

1

DNA Extraction and Genotyping of DACHS Cohort

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The Flexigene kit was used to extract DNA from EDTA blood and mouthwash samples of the DACHS patients and quantification of the DNA was performed using Q6 Quanti-iT picoGreen dsDNA reagent and kit (Invitrogen/Life technologies, Darmstadt, Germany).
Genotyping was performed in collaboration with the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO); details have been previously described 31 (link). DACHS samples were genotyped using the whole-genome Illumina CytoSNP assay (Illumina, San Diego, CA, USA) for patients recruited 2003–2006, the Illumina HumanOmniExpress BeadChip Kit for patients recruited 2007–2010 and the Illumina HumanOmniExpress BeadChip Kit or the Illumina Infinium OncoArray-500K BeadChip for those recruited 2011–2013. For quality control, genotyped variants were excluded based on call rate (< 98%), lack of Hardy–Weinberg Equilibrium in controls (HWE, P < 1 × 10− 4), and low minor allele frequency (MAF < 0.05) as described elsewhere 31 (link)–34 (link). Samples were imputed using as reference panel the cosmopolitan haplotypes from Phase 1 of the 1,000 Genome Project (for patients recruited between 2003 and 2010) or the Haplotype Reference Consortium (for patients between 2011 and 2013) 35 (link) using the University of Michigan Imputation Server 36 (link). Before imputation, Shapeit2 was used to phase the GWAS data 37 (link).
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2

Genotyping and Imputation for DACHS Study

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5262 DACHS samples were genotyped using the whole-genome Illumina CytoSNP assay (Illumina, San Diego, CA, USA) for patients recruited 2003–2007, the Illumina HumanOmniExpress BeadChip Kit for patients recruited 2008–2014, and the Illumina Infinium OncoArray-500K BeadChip for those recruited 2015 or the Infinium Global Screening Array for patients recruited 2016–2017 as described previously [38 (link)]. Missing genotypes were imputed using the Haplotype Reference Consortium as reference panel l (HRC r1.1 2016).
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3

Whole-Genome Genotyping and Linkage Analysis

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Whole-genome genotyping was performed for all of the subjects with available DNA. The HumanOmniexpress BeadChip Kit (Illumina®, San Diego, CA, USA) was used to type ~720,000 markers, and the samples were imaged with the Illumina® iScan following the manufacturer protocol. Quality control was performed as described elsewhere [23 (link)]. A pruning procedure was performed, removing markers with Mendelian errors, minor allele frequency (MAF) < 0.4, and evidence of Hardy–Weinberg disequilibrium (p < 0.00001) and markers with missing genotypes (>5%). A thinning procedure was then performed, to reduce the marker density to five SNPs per cM (centimorgan), obtaining a final set of ~30,000 markers. Given the absence of an a priori disease model, to compute the LOD score, namely the logarithm (base 10) of odds, we used the multipoint non-parametric exponential linkage approach (NPL). Linkage disequilibrium was modeled by clustering SNPs, and haplotypes were generated from di-allelic markers using the Merlin r2 option with a threshold of 0.15. We computed the theoretical sample power and the relative maximum expected information content, and applied both the linear and exponential model according to Kong and Cox [24 (link)], with all statistics giving more weight to markers identical by descent (IBD) shared among more than two affected relatives.
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4

Alzheimer's Genomics: Duplicate Removal

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Whole-genome (WGS) data used in this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). ADNI is the result of efforts of many co-investigators, led by Dr. Michael Weiner, from a broad range of institutions, and includes subjects from more than 50 American and Canadian research sites. A primary goal of ADNI is to identify biological markers for Alzheimer’s disease (AD). To date over 1,500 adults, ages 55 to 90, have participated in the study. For up-to-date information see www.adni-info.org. Of the 809 WGS samples (average coverage ~37) available in this dataset, we randomly selected 100 to use in our duplicate removal analysis. During the analysis process, one sample was removed due to low quality data and was not replaced. Each of the remaining 99 study samples was run through the exact same pipeline described below (Data Analysis subsection).
We also have matching SNP chip data for the 99 samples used in this study. Samples were genotyped using the HumanOmniExpress BeadChip Kit by Illumina. The SNP chip data were cleaned by removing (in order): (1) all SNPs missing greater than 2 % of data, (2) all individuals missing more than 2 % of data, (3) SNPs with a minor allele frequency less than 0.02, and (4) SNPs out of Hardy-Weinberg equilbrium (p < 0.000001).
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5

Detecting Chromosomal Changes in Cell Lines

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The Illumina Human OmniExpress Bead Chip kit (Illumina,
WG-312–3001) was used to analyze cell line gDNA for global chromosomal
changes, including copy number variance (CNV) and loss of heterozygosity (LOH),
when compared to the parental MCF10A cell line as per the manufacturer’s
protocol. Analysis was carried out as previously described [13 (link)].
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6

Evaluating ABO and Rh Prediction Methods

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The first goal for testing our method was the collection of samples with phenotype annotation and genetic data. We chose to work with public data from the PGP [3 (link),4 (link)], mainly due to the richness of the clinical profiles. From the 2,651 profiles accessed on 13 May 2013, entries having ABO and Rh annotation with sequencing data were extracted. We obtained two datasets with 69 samples with full genome sequences from Complete Genomics and 111 with 23andMe SNP data. The nature of the 23andMe data set is very heterogeneous in array size (ranging from 570k to 1000k SNVs) and chip type (customized Illumina Hap550+ or HumanOmniExpress BeadChip Kit). The reference genome used was either hg18 or hg19. For a detailed description of the data, please refer to the PGP website (URL: http://personalgenomes.org/). The full genome dataset was used for benchmarking the accuracy of the tool for ABO and Rh when full data is available. The 23andMe dataset was used as a further set to evaluate our prediction strategy when only partial information is available.
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7

Allele-Specific Copy Number Analysis

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DNA was processed and hybridized to the HumanOmniExpress BeadChip Kit (Illumina). Illumina's GenomeStudio software was used to obtain B allele frequencies (BAF) and log R ratios (LRR) from the raw output data. BAF and LRR were input into the ASCAT algorithm [32 (link)] to estimate purity and allele-specific absolute CN, which are used for calculation of CCF. Segmented LRR was also obtained from ASCAT and used for subsequent analyses after the median was shift to 0.
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8

Genome-wide Copy Number Analysis

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DNA was processed and hybridized to the Human Omni Express Bead Chip Kit (Illumina). Illumina’s GenomeStudio software was used to obtain B allele frequencies (BAFs) and log R ratios (LRRs) from the raw output data. BAFs and LRRs were put into the ASCAT algorithm [23 (link)] to estimate purity and allele-specific absolute CN. If DNA quality was too poor to use the above kit, we detected CNAs from WES data using the software tool EXCAVATOR (http://sourceforge.net/projects/excavatortool/)) [24 (link)], and the data were then applied to subsequent analyses.
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