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81 protocols using immunochip

1

Sardinian GWAS for T1D and MS

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The Sardinian T1D and MS GWAS case-control studies were performed using combined data sets where all samples were genotyped with ImmunoChip (Illumina) and subsets of the samples were genotyped with Genome-Wide Human SNP Array 6.0 (Affymetrix) and OmniExpress (Illumina). This combined approach after quality controls brought 883,557 SNPs subjected to the parallel GWAS studies on MS and T1D (Supplementary Figure.1). See Supplementary material for details for GWAS on MS and T1D using the integrated map (ImmunoChip, OmniExpress and Genome-Wide Human SNP Array 6.0).
To study PRF1:p.A91V mutation effect on phenotypes, the association results from the SardiNIA general population were used. The association results are based on 6,521 SardiNIA volunteers genotyped with Illumina arrays (OmniExpress, ImmunoChip, Cardio-MetaboChip and ExomeChip; 890,542 SNPs in total) [13 (link)]. Samples from both cohorts were imputed with Minimac3 on a Next Generation Sequencing based reference panel of 3,514 Sardinian individuals [13 (link)].
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2

Genotyping Saliva Samples for FUT2 Variants

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Paired saliva samples were obtained for each enrolled participant in the AGE and healthy control groups at the time of enrollment using Oragene-Dx-575 assisted saliva collection and DNA stabilization kits (DNA Genotek).
Human DNA from saliva was genotyped using both RT-PCR and the Immunochip (Illumina Infinium).13 (link) The Immunochip was selected for its coverage of the FUT2 locus. Following Illumina protocols, samples having SNPs with call rates above 95% were retained. All samples with incomplete Immunochip analysis, as well as 10% of the overall sample to ensure quality control, were analyzed at the FUT2 428 position using RT-PCR (TaqMan, Life Technologies).
Samples were checked for agreement with self-identified sex and autosomal heterozygosity less than 0.4. FUT2 SNPs rs601338 (428G>A nonsense mutation) and rs1800030 (rare 849G>A nonsense mutation) were directly genotyped from the Immunochip. Additional nonsecretor mutations 385 t>G and 571C>T were imputed from Immunochip data using the program IMPUTE2 to calculate the genotype of unobserved SNPs with greater than 0.9 probability. IMPUTE2 compares highly associated observed SNPs to a database of haplotypes constructed from the 1000 Genomes Project.14 (link)
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3

Genotyping and Analysis of Immunochip Data

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The blood of all cases was previously collected at the time of diagnosis of the disease and subsequently DNA was extracted and genotyped for 186 K SNPs using the Illumina Immunochip version 1 platform. The genotyped data of cases is described in the study by Rivera et al.8 (link). Similarly, the blood of all healthy controls was collected by the dedicated research nurses immediately next to the time of receiving response to questionnaire. DNA of controls was also genotyped on the Illumina Immunochip version 1 and is further described elsewhere65 (link),66 (link). In this study, 1,058 controls from EIMS, 1,905 controls from EIRA and 731 cases (290 LS and 441 non-LS) that passed genotyping quality control filtering were analyzed throughout the study.
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4

Immunochip: Comprehensive Autoimmune Profiling

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The Immunochip, a custom Illumina Infinium High-Density array, contains 196,524 polymorphisms (718 small insertion/deletions, 195,806 SNPs). It was initiated by the Welcome Trust Case-Control Consortium and designed for deep replication of established autoimmune and inflammatory disease loci identified by GWAS of common variants using data from the 1000 Genomes Project and any other available disease-specific resequencing data. The Immunochip Consortium selected 186 distinct loci containing markers reaching genome-wide significance (P < 5 × 10−8) from 12 diseases (autoimmune thyroid disease, ankylosing spondylitis, Crohn's disease, celiac disease, IgA deficiency, multiple sclerosis, primary biliary cirrhosis, psoriasis, rheumatoid arthritis, systemic lupus erythematosus, type 1 diabetes, and ulcerative colitis). For each disease, ~3,000 SNPs were selected from available GWAS data for deep replication, as well as to cover strong candidate genes. Samples were genotyped using the Immunochip according to Illumina's protocols at laboratories at Emory University and The Feinstein Institute for Medical Research and Cincinnati Children's Hospital Medical Center (Utah samples and Cincinnati controls).
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5

Genotyping Immunochip for Disease

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All the case–control subjects were genotyped using the ImmunoChip, an Illumina 200K Infinium high-density array. Summary statistics, including P-values and MAF, were downloaded from ImmunoBase (http://www.immunobase.org, accessed 04 May 2014). The number of participants for each disease is shown in Table 1. Samples were of European ancestry and are described in detail in the original papers (5 (link)–13 ).
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6

Validating TPMT Imputation Accuracy

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To determine the accuracy of imputation, TPMT imputed haplotypes were compared to those obtained by other genotyping platforms covering TPMT variation. Of the 87,979 samples, 583 also had genotyping data on Illumina Infinium Immunochip (Immunochip), and HumanOmni1-Quad version 1 (Omni), which captured both rs1800460 and rs1142345. Additionally, Sanger sequencing of rs1800460 in exon 7 and rs1142345 in exon 10 was used to validate the imputation results (primers previously described in Schaeffeler et al., 2001 (link)). The sample selected for Sanger sequencing consisted of 59 individuals predicted to carry one or two defective alleles by imputation that had been exposed to a TPMT medication based on the EMR.
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7

Genetic Analysis of Autoimmune Diseases

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SNP analysis was performed by the Center for Public Health Genomics at University of Virginia, using the Illumina ImmunoChip. The ImmunoChip is a custom array for genotyping of SNPs selected from regions of the human genome firmly associated with autoimmune diseases. The final selection of SNPs containing ~186 000 SNPs in 186 regions, for 12 autoimmune diseases was decided by the ImmunoChip Consortium. The 9- month sample was used for SNP genotyping after DNA extraction done by Roche Molecular Systems (Pleasanton, CA). Quality control (QC) steps to assure high quality of the reported SNPs comprised the exclusion of subjects due to low call rate (>5% SNPs missing) and discordance with reported sex and prior genotyping. Secondly, SNPs were removed from analysis due to low call rate (<95%), Hardy-Weinberg equilibrium (HWE) p-value <10−6 (except for chromosome 6 due to HLA eligibility requirements) as well as being monomorphic or an insertion-deletion.
A total of 17 SNPs residing in loci within genes coding for complement factors were present on the ImmunoChip. Of these 17 SNPs, two did not pass QC (rs1061170 in CFH and rs2274567 in CD35). In the TEDDY study, we have previously performed a confirmation study of 41 SNPs associated with type 1 diabetes and risk of autoantibody positivity39 (link).
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8

Genotyping and Imputation of 500FG and Lifelines Deep Cohorts

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The procedures for genotyping, genetic data filtering and genotype imputation of the 500FG cohort had been previously described (6 (link)). Extracted DNA was genotyped using the commercially available SNP chip, Illumina HumanOmniExpressExome-8 v1.0. Following pre-imputation filtering steps for both markers and individuals, the remaining dataset SNP genotypes were imputed with GoNL as reference panel (16 ).
For Lifelines Deep cohort, genotyping and imputation was performed as previously described (17 ). Both the HumanCytoSNP-12 BeadChip and the ImmunoChip platforms (Illumina, San Diego, CA, USA) were used to genotype the isolated DNA. Independent markers quality control was performed for both platforms and subsequently merged into one dataset. After merging, genotype SNPs were imputed using IMPUTE2 (18 ) against the GoNL reference panel.
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9

Genome-wide Genotyping of Blood Samples

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DNA was extracted from peripheral blood leukocytes by salting out with saturated NaCl solution according to standard methods, or by using a Chemagic Magnetic Separation Module I (Chemagen, Baesweiler, Germany) in accordance with the manufacturer's instructions. Whole genome genotyping for the meta analayis was performed on either Illumina HumanHap550 BeadChip or the Illumina Omni express, as detailed in Supplementary Table 1. The replication cohort was genotyped with the Illumina Immunochip. Additionally, SNPs selected for replication that are not present on the Immunochip were genotyped on the MassArray system using a Sequenom Compact MALDI-TOF device and iPLEX Gold reagents (Sequenom, San Diego, CA) in multiplex reactions. Primer sequences and standard assay conditions are available upon request. Standard quality control metrics were employed, removing data for SNPs and samples with call rates less than 90. Additional genotyping was performed by standard PCR based techniques.
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10

Genome-wide Genotyping of Blood Samples

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DNA was extracted from peripheral blood leukocytes by salting out with saturated NaCl solution according to standard methods, or by using a Chemagic Magnetic Separation Module I (Chemagen, Baesweiler, Germany) in accordance with the manufacturer's instructions. Whole genome genotyping for the meta analayis was performed on either Illumina HumanHap550 BeadChip or the Illumina Omni express, as detailed in Supplementary Table 1. The replication cohort was genotyped with the Illumina Immunochip. Additionally, SNPs selected for replication that are not present on the Immunochip were genotyped on the MassArray system using a Sequenom Compact MALDI-TOF device and iPLEX Gold reagents (Sequenom, San Diego, CA) in multiplex reactions. Primer sequences and standard assay conditions are available upon request. Standard quality control metrics were employed, removing data for SNPs and samples with call rates less than 90. Additional genotyping was performed by standard PCR based techniques.
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