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Beadxpress system

Manufactured by Illumina
Sourced in United States

The BeadXpress System is a high-throughput genotyping platform developed by Illumina. It utilizes bead-based technology to perform multiplexed analysis of genetic variations across large sample sets. The system is designed to deliver accurate and reliable genotyping results, but a detailed description of its core function is not available while maintaining an unbiased and factual approach.

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13 protocols using beadxpress system

1

Genotyping Workflow for Illumina BeadXpress

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Genotyping was performed in triplicate as part of two custom 384-plex multiplex oligo pools for analysis of SNP assays using the Illumina BeadXpress system following the manufacturer’s instructions (Illumina, Inc., San Diego, CA). Illumina’s internal controls, including allele-specific extension, PCR uniformity, gender genotype, gap extension efficiency, annealing specificity, and hybridization, were used to assure data quality and fidelity.
Purified DNA was plated by the NIEHS Molecular Genetics Core Facility and processed through several activation and ligation steps followed by PCR with universal primers and subsequent hybridization to Illumina genotyping beads. After hybridization and washing, plates were scanned on the BeadXpress® reader. Raw data were normalized across samples using Illumina's BeadStudio software suite®, and SNP genotype calls were made using genotyping cluster files generated by BeadStudio. Seven samples with a call rate below 50% were excluded from the analysis. Genotyping duplicate reproducibility was 99.76%, with a call rate of 95.8%. Chi-square analysis was used to calculate p values (0.05 level) for comparisons of genotype frequencies between different ethnic groups in this exploratory study. MAFs were calculated by race and ethnicity and were compared to the Genome Aggregation Database (gnomAD) of the Broad Institute populations [36 (link)].
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2

SNP Selection and Genotyping in OXSR1 Gene

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Single nucleotide polymorphisms (SNPs) in OXSR1 were selected using the Asian population database from the International HapMap Project (http://hapmap.ncbi.nlm.nih.gov/) and NCBI (http://www.ncbi.nlm.nih.gov/snp) databases as follows: first, candidate SNPs were extracted from the intragenic region including 2 kb of the 5’ region of the gene using Asian population data in the International HapMap database, and then linkage disequilibrium structures of each gene were analyzed using SNPs with > 5% minor allele frequencies (MAF). A representative SNP was selected in the case of absolute LD (|D′| = 1 and r2 > 0.95) between the SNPs. Finally, 11 SNPs were selected and genotyped using the GoldenGate assay with VeraCode microbeads (Illumina, San Diego, CA, USA) as previously described [30 (link)]. These were scanned using the BeadXpress® system (Illumina).
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3

Genetic Variation in Pima Indians

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Variation across a ~210.9 kb region encompassing FOXO1A(Chr13:41079801-41290734, ~50kb flanking FOXO1A) was identified
from whole-genome sequence data (40x coverage) of 335 Pima Indians (Illumina, San Diego,
CA). The 305 common SNPs (minor allele frequency, mAF ≥0.05) were captured by 17
tag SNPs with a pair-wise r2 ≥0.8 (Haploview). Genotyping of tag SNPs
utilized BeadXpress System (Illumina, San Diego, CA).
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4

Genetic Variation in Pima Indian GCK Gene

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Single-nucleotide polymorphisms (SNPs) in exons and the putative promoter region (∼1.4 kb upstream of the translational start site) of GCK were obtained from whole-genome sequence data (30–40× coverage) of 234 individuals who were predominantly full-heritage Pima Indians (Complete Genomics, Mountain View, CA, USA; Illumina, San Diego, CA, USA). Individuals had been characterised for metabolic traits in our Clinical Research Center and were selected from different nuclear families to maximise identification of genetic variation. Genome sequence data were compared with the reference sequence GRCh37/hg19. SNPs not reported in NCBI dbSNP/1000 genomes (http://www.ncbi.nlm.nih.gov/SNP/; or http://browser.1000genomes.org/) were classified as ‘novel’. Linkage disequilibrium (LD) was determined using Haploview (version 4.2, Broad Institute, Cambridge, MA, USA). Tag SNPs were selected using the Tagger algorithm with a pairwise r2 ≥ 0.8 taken as indicative of redundancy.
SNPs were genotyped for association analyses using the TaqMan Allelic Discrimination Assay on an ABI Prism 7900 (Applied Biosystems, Carlsbad, CA, USA) or BeadXpress System (Illumina).
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5

Genetic Markers of Cognitive Functioning

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The markers under consideration were on 11 genes (i.e., APOE, BDNF, CHRNA4, COMT, DRD4, HTR4, IGF2, MAOA, SLC5A7, SLC6A3 [DAT1], and SNAP25). These genes are related either to the availability of neurotransmitters such as acetylcholine, dopamine, and serotonin and to growth, brain development, attention, or general cognition. Multiple markers were used for each gene. These markers are SNPs and VNTRs. Risk alleles for some aspect of attention or cognition are known for 23 of the 39 markers.
Genetic data were collected from each participant using an Oragene-500 kit (DNA Genotek, Kanata, Ontario, Canada). Each kit collects approximately 2 ml of saliva, which can then be purified to obtain DNA. Nucleotides can be tagged with a fluorescent dye. Genotyping was performed using the GoldenGate assay on the BeadXpress system (Illumina, Inc.). Once the array had been visualized with the BeadXpress reader, wavelength and intensity values of the fluorescence were used to determine genotype. Allele detection and genotype calling were performed using GenomeStudio software v2011.1 (Illumina, Inc.). Genotype was coded as an ordinal variable with zero indicating no genetic risk, one indicating intermediate risk, and two indicating higher risk of attentional deficits.
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6

Genetic Polymorphism Analysis of ILVBL Gene

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Twelve ILVBL polymorphisms were selected using the Asian population database from the International HapMap Project database (http://​hapmap.​ncbi.​nlm.​nih.​gov/​) and the NCBI database (http://​www.​ncbi.​nlm.​nih.​gov). SNP selection was based on the following scheme. First, candidate SNPs were extracted from the intragenic region including 2 kb of the 5′ region of each gene using Asian population data in the International HapMap database, and then LD structures of each gene were analyzed using SNPs with >5% minor allele frequencies. A representative of the SNPs in almost absolute LD (|D′| = 1 and r2 > 0.95) was selected. A total of 702 SNPs were selected and genotyped using the GoldenGate assay with VeraCode microbeads (Illumina, Inc.) [36 (link)]. This was followed by scanning using the BeadXpress® system (Illumina, Inc.).
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7

Genotyping of Proteasome Subunits

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PSMD13 rs3817629, PSMD9 rs1043307 and PSMA7 rs2057168 were genotyped using the BeadXpress System and the VeraCode Assay according to the manufacturer's instructions (http://www.illumina.com). The raw BeadXpress data were processed using the Illumina BeadStudio software suite (genotyping module 3.3.7; San Diego, CA, USA), producing report files containing normalized intensity data and SNP genotypes.
The genotyping of PSMD13 rs3817629 and PSMD9 rs1043307 was repeated via the SNaPshot assay as a quality control. All details regarding the SNaPshot assay are available on request.
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8

Genotyping of Sentinel SNPs and AIMs

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A sentinel SNP for each region was selected for genotyping from previously reported GWAS (1 (link)–17 (link)). Two SNPs were selected for KCNQ1 and CDC123, where two distinct sets of variants have been described. In addition, 45 ancestry-informative markers (24 (link)) were genotyped for estimation of the individual proportion of European heritage (25 (link)). Genotyping was conducted by the SNPplex method (Life Technologies, Carlsbad, CA) or the BeadXpress system (Illumina, San Diego, CA) according to the manufacturer’s instructions. Results for 18 SNPs were reported previously (20 (link),26 (link)–29 (link)). They are included here for a more complete characterization of the effects of established T2DM loci.
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9

Genetic Variation in Pima Indians

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Variation across a ~210.9 kb region encompassing FOXO1A(Chr13:41079801-41290734, ~50kb flanking FOXO1A) was identified
from whole-genome sequence data (40x coverage) of 335 Pima Indians (Illumina, San Diego,
CA). The 305 common SNPs (minor allele frequency, mAF ≥0.05) were captured by 17
tag SNPs with a pair-wise r2 ≥0.8 (Haploview). Genotyping of tag SNPs
utilized BeadXpress System (Illumina, San Diego, CA).
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10

Genetic Variation Mapping of MC4R

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Common variation (minor allele frequency, mAF ≥ 0.01) across a ~510 kb region encompassing MC4R (chr18:57778138-58288450, ~250 kb flanking each side of the gene, GRCh37/hg19) was identified from whole-genome sequence data (30–40× coverage) of 234 Pima Indians (Complete Genomics Inc., Mountain View, CA; Illumina, San Diego, CA, USA) (Muller et al. 2014 ). Linkage Disequilibrium (LD) between variants was determined using Haploview (version 4.2). Tag SNPs were selected using the Tagger algorithm with a pair-wise r2 ≥ 0.8. SNPs were genotyped using the TaqMan Open Array System (Applied Biosystems, Carlsbad, CA, USA) or BeadXpress System (Illumina, San Diego, CA, USA).
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