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Infinium global screening array v2

Manufactured by Illumina
Sourced in United States

The Infinium Global Screening Array v2.0 is a high-throughput genotyping platform developed by Illumina. It is designed to interrogate a comprehensive set of genetic variants across multiple populations and research applications.

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14 protocols using infinium global screening array v2

1

HLA Genotype Imputation and Phasing

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In total, 6351 variants were extracted from the HLA region at chromosomal coordinates chr6:29-34 Mb. HLA allele genotypes for the classical HLA class I loci HLA-A, -B, -C and class II loci HLA-DQA1, -DQB1, -DPB1 and -DRB1 were imputed using the Broad HLARES models for the Illumina Infinium Global Screening Array v2.0 using the R-package HLA genotype imputation without attribute bagging (HIBAG) (Version 1.20.0) at 4-digit resolution.19 (link)⁠ We additionally imputed HLA nucleotides and amino acids, as well as performing HLA genotype phasing based on SHAPEIT2.20 (link),21 (link) A significance threshold of P < 0.001 was considered suggestive of an association for the purposes of our study.
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2

Genome-wide Linkage and Homozygosity Mapping Analysis

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Samples were derived from the 25 members of pedigrees P1 and P2 with marked genotypes (Fig. 1a). Genome-wide linkage analysis was performed as previously described43 (link). In short, using Illumina GSAv2 (Infinium™ Global Screening Array v2.0; Illumina, San Diego, CA, USA) > 665 K markers per sample were genotyped. All informative SNPs were used for subsequent analyses. Homozygosity mapping for both pedigrees (separately and combined) was carried out using Homozygosity-Mapper44 (link), using 309,811 markers spread across all autosomal chromosomes, and was set to retrieve all common homozygous regions shared by the seven available affected individuals, with no lower threshold set for the size of homozygosity loci. Regions of over 50 sequentially identical homozygous markers appearing in at least one healthy control were omitted. Next, multipoint LOD score for both pedigrees was calculated via SUPERLINK ONLINE SNP 1.145 (link) software, zooming into the locus found in the homozygosity mapping (using all segregating SNPs), in groups of 6 SNPs per window. Physical positions are of GRCh37/hg19 genome assembly.
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3

Genome-wide SNP Genotyping of SLC10A1

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Additionally, information on 5 SLC10A1 SNPs of the HumanHap300 Genotyping BeadChip (Illumina Inc., San Diego, CA, USA) was available [92 (link)]. Moreover, whole-genome genotyping of more than 700k SNPs was performed using the Infinium™ Global Screening Array-v2.0 (Illumina Inc.).
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4

HLA Imputation Using HIBAG in Genomics

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HLA types were imputed using HIBAG version 1.18.1 [69 (link)] and the multi-ethnic prediction model specific for Illumina Infinium Global Screening Array v2.0.
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5

Genome-Wide Genotyping and Imputation

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The genotyping of the samples was conducted with the Illumina Infinium Global Screening Array v2.0. The genotype calls were done using Illumina GenomeStudio 2.0. We filtered variants with minor allele frequency (MAF) less than 1%, genotype missingness greater than 2.5%, and Hardy-Weinberg equilibrium (HWE) p-value less than 1e-5. This resulted in 484886 variants which were imputed using the Michigan Imputation Server with the HRC (Version r1.1 2016) reference panel. Post-imputation filters, r2 less than 0.3, MAF less than 1%, and HWE p-value less than 1e-6 were applied, resulting in 7924221 variants. Principle component analysis of the samples, together with 1000 genomes samples [48 (link)] revealed that 2 samples have non-European ancestry, thus were excluded from further analyses. The human reference genome build used was GRCh37.
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6

Genotyping and Quality Control for Genetic Heterogeneity

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Genotyping was conducted on the Infinium Global Screening Array v2.0 (Illumina, San Diego, California, US). Quality control of samples was carried out to filter extremely low-quality samples and variants (call rate <97.5%) using PLINK (version 1.9). A total of 729,526 SNPs were mapped to the GRCh37 (hg19) reference genome. To reduce heterogeneity in population structure, we conducted principal component analysis using PLINK on the whole genome SNP data and extracted the top five principal components for correcting genetic heterogeneity across different races/ethnic groups. We limited our analyses to SNPs with minor allele frequency > 0.05 and with a Hardy-Weinberg equilibrium P > 1*10−6.
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7

Detecting NTHL1 Copy Number Variation

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Assessment of copy number variation in the NTHL1 region was carried out using the Illumina Infinium Global Screening Array v2.0. Data on hybridization intensity for each probe were used to calculate the Log R ratio (LRR) and B allele frequency (BAF) values. These values were used to identify copy number regions and to segment the genome. Segmentation calculations were performed with genoCN software17 (link) using the R package.
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8

Blood Genotyping and Transcriptomics

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Additional information regarding genotyping on the Infinium Global Screening Array v2.0 (Illumina, San Diego, and Calif) and RNA-seq (Differential Gene Expression Analysis) performed at Admera Health (Plainfield NJ) on RNA extracted from human blood using PAXgene Blood RNA kit (Qiagen, Hilden, and Germany) at baseline and 6 weeks is available in the Supplementary Material.
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9

Genome-wide Genotyping and Imputation

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DNA from the healthy individuals were genotyped on the Infinium Global Screening Array v2.0 (Illumina). The genetic structure of the study population was analysed using EIGENSOFT [65 (link)] after excluding long-range linkage disequilibrium (LD) regions [66 (link)], SNVs with MAF < 0.05 and SNVs in LD r2 > 0.2 using the HapMap3 cohort as reference population. All individuals mapped to the CEU population (< 10 SD from the mean HapMAP CEU population for the first 5 principle components) and passed the exclusion criteria for heterozygosity (> 5 SD from population mean), call rate (< 98%) and discordance for reported sex. One individual was excluded due to relatedness (π-hat > 0.1875, PLINK software v1.90).
Variants with a call rate < 98%, a MAF < 1% or with deviation from Hardy-Weinberg equilibrium (p < 0.00001) were excluded. Imputation of additional variants was performed at the Sanger imputation service [67 (link)] using the Haplotype reference consortium r1.1 reference and the “pre-phase with EAGLE2 and impute” pipeline [68 (link)]. Imputed genotype calls with a genotype probability score below 0.9 were set to missing and variants with an info score below 0.8, a MAF < 0.01, deviation from Hardy-Weinberg equilibrium (p < 0.0001) or a call rate < 95% were excluded. The final dataset contained 303 individuals and 5,084,123 genetic variants.
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10

Genetic Profiling of CIHL Biomarkers

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Following enrollment, DNA was purified from patient saliva samples that were collected from patients in both the treatment and observation arms (Oragene®, DNA Genotek, Ottawa, Canada), and extracted using an automated DNA purification system (QiaSymphony). Candidate gene variants involved in glutathione metabolism that have been previously associated with CIHL (GSTP1, GSTT1, GSTM1, GSTM3, GSTA1, GPX5) were genotyped on an Illumina Infinium Global Screening Array (v2.0) with standard sample and variant quality control (QC), phasing, and imputation. Copy number variants for GSTM1 and GSTT1 were analyzed using a TaqMan CNV Assay (Thermo-Fisher).
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