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550k duo

Manufactured by Illumina

The Illumina 550K Duo is a high-density genotyping array designed for genome-wide association studies (GWAS) and other genomic research applications. The array provides comprehensive genome coverage with over 550,000 genetic markers.

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5 protocols using 550k duo

1

Genotyping and Imputation Workflow

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Details on genotyping and imputation have been reported previously(17 (link)–19 (link)). In brief, DNA was mostly obtained from blood samples, with some from buccal swabs. Several platforms, including Affymetrix 500K, Affymetrix Axiom, Illumina 1M, 1M duo, Illumina 300K, Illumina 550K, 550Kduo, 610K, Illumina OmniExpress, Illumina OmniExpressExome, Illumina Oncoarray, Illumina Oncoarray+custom iSelect, were used for genotyping(20 (link),21 (link)). Samples were excluded on the basis of sample call rate, heterozygosity, unexpected duplicates or relative pairs, gender discrepancy and principal component analysis (PCA) outliers. SNPs were excluded on the basis of inconsistency across platforms, call rate, and out of Hardy-Weinberg equilibrium (HWE) in controls(20 (link)). SNPs were imputed using Haplotype Reference Consortium (HRC version r1.0) reference panel (22 (link)), and restricted by imputation accuracy (R2>0.3 for SNPs with MAF>1%, R2>0.5 for SNPs with MAF>0.5% and <1%, and R2>0.99 for SNPs with MAF<0.05%).
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2

Genotyping, Imputation, and Genetic Risk Score for ADHD

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The Illumina 550K, 550K duo, and 610K arrays were used for genotyping samples with a call rate below 97.5%, gender mismatch, excess autosomal heterozygosity (>0.336), duplicates or family relations and ethnic outliers were excluded. Genetic variants were filtered by Hardy-Weinberg equilibrium (P<10-6), allele frequency (excluding minor allele frequency (MAF < 0.001) and SNP call rate with a minimum of 98%. Genotypes were imputed using MACH/minimac software to the 1000 Genomes phase I version three-reference panel (all populations). From the imputed data (HRC version 1.1), we selected eight SNPs associated with ADHD at a genome-wide threshold of significance (P<10-8) [Table SM1] (27 (link)). Four genetic variants were not included because were not available in the HRC imputations, nor were there are any variants in linkage disequilibrium, likely because the original ADHD GWAS used a custom genotyping array for psychiatric disorders. Furthermore, we constructed a genetic risk score (GRS) by multiplying the number of risk alleles by their reported odds ratio (after natural logarithm transformation) for the disease and summing this weighted allele score of each variant up into a disease risk score for ADHD.
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3

Genotyping and Imputation of Genetic Data

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Genotyping was performed with the Illumina 550 K, 550 K duo, and 610 quad arrays.13 (link) We then removed samples with call rate below 97.5%, gender mismatch,
excess autosomal heterozygosity, duplicates or family relations and ancestry
outliers, and variants with call rate below 95.0%, failing missingness test,
Hardy–Weinberg equilibrium p-value <10−6, and
minor allele frequency <1%. Genotypes were imputed to the 1000 Genomes phase
I version 3 reference panel (all population) by using the MACH/minimac software.15 (link)
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4

Genotyping Quality Control Pipeline

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The Illumina 550K, 550K duo and 610 quad arrays were used for genotyping. Samples with a call rate below 97.5% were removed, as well as gender mismatches, excess autosomal heterozygosity, duplicates or family relations, ethnic outliers, variants with call rates lower than 95.0%, failing missingness test, Hardy-Weinberg equilibrium p-value smaller than 10-6 and allele frequencies smaller than 1%. Genotypes were imputed using MaCH/minimac software to the 1000 Genomes phase I version 3 reference panel.
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5

Genetics and Eye Color in Rotterdam

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The Rotterdam Study is a prospective population-based cohort study19 . We used the first cohort consisting of 6291 participants, genotyped using the Illumina 550 and 550 K duo arrays. Samples with low call rate (<97.5%), excess autosomal heterozygosity (>0.336), or sex-mismatch were excluded, as were outliers identified by the identity-by-state clustering analysis (outliers were defined as being >3 standard deviation (SD) from the population mean or having identity-by-state probabilities > 97%). For imputation the Markov Chain Haplotyping (MACH) package version 1.0 software (Imputed to plus strand of NCBI build 37, 1000 Genomes phase I version 3) and minimac version 2012.8.6 were used (call rate > 98%, MAF > 0.001 and Hardy–Weinberg equilibrium P-value > 10−6). From here on, processing steps are identical as described for Sweden Schizophrenia resulting in a dataset with 113,241 exonic variants for 6291 subjects.
For each subject, both eyes were examined by an ophthalmological medical researcher, and eye (iris) color was categorized into three categories; blue, intermediate, and brown using standard images and based on the predominant color and pigmentation35 (link).
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