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58 protocols using humanhap550

1

Detailed Genotyping and Imputation Procedures

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Extensive details on genotyping and imputation procedures for each participating study are presented in Supplemental Table 2. Briefly, samples of the Generations Study, Sister Study, and most samples of the Nurses’ Health Studies, were genotyped using the OncoArray array.8 (link) The remaining 225 samples of the Nurses’ Health Studies were genotyped using Illumina HumanHap550 and HumanHap610 arrays.8 (link) Samples of the Doetinchem Cohort Study were genotyped using the Illumina Infinium Global Screening Array-24 Kit (Illumina Inc., San Diego, California, United States of America). For genotyping of samples from ALSPAC mothers and daughters, the Illumina Human660W-Quad array and Illumina HumanHap550 quad genome-wide SNP genotyping platform were used, respectively. SWAN participants were genotyped using the Illumina Multi-Ethnic Global Array (MEGA A1). All participating studies performed sample and SNP QC prior to imputation, which was done using the Haplotype Reference Consortium (HRC) panel version r1.1 2016 (Supplemental Table 2).
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2

Genome-Wide Association Study of Serum Magnesium

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A total of 4,898 patients were recruited from The Children’s Hospital of Philadelphia (CHOP) Health Care Network. Among them, 4,473 were genotyped on the Illumina HumanHap550 or Quad610 arrays, and 425 were genotyped on the Illumina HumanOmniExpress arrays. The genotyping procedure follows the Illumina standard protocols as previously described18 (link). European-American children were genetically inferred by EIGENSTRAT19 (link) (Fig. S1). After quality control, 2,267 samples genotyped on the Illumina HumanHap550 or Quad610 arrays were included as the discovery cohort, and 257 samples genotyped on the Illumina HumanOmniExpress arrays were included as the replication cohort. The values of serum magnesium levels displayed normal distribution in both discovery and replication cohorts (Fig. S2). Subjects with values beyond 3SD of the mean were removed from the study. Details of the discovery and replication cohorts used in this study are summarized in (Supplementary Table 5).
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3

Genome-Wide Association Study on 8,365 Participants

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A total of 9,912 research participants were genotyped using the Illumina HumanHap550 quad genome-wide SNP genotyping platform by the Wellcome Trust Sanger Institute (Cambridge, UK) and the Laboratory Corporation of America (Burlington, NC) using support from 23andMe. Details on the quality control (QC) procedure have been published previously.19 (link) The resulting data set consisted of 8,365 participants and 500,527 SNPs available for analysis. Association analyses were performed under an additive model using PLINK,20 (link) with sex included in the analysis as a covariate.
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4

ALSPAC Genotyping and Imputation Protocol

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A total of 9,912 ALSPAC children were genotyped using the Illumina HumanHap550 quad genome-wide SNP genotyping platform. Individuals were excluded from further analysis based on having incorrect gender assignments; minimal or excessive heterozygosity (0.345 for the Sanger data and 0.330 for the LabCorp data); disproportionate levels of individual missingness (>3%); evidence of cryptic relatedness (>10% IBD) and being of non-European ancestry (as detected by a multidimensional scaling analysis seeded with HapMap 2 individuals). The resulting post-quality control dataset contained 8,237 individuals. The post-quality control ALSPAC children were combined with the ALSPAC mothers cohort (described in detail previously [44 (link)]) and imputed together using a subset of markers common to both the mothers and the children. The combined sample was pre-phased using ShapeIT (v2.r644) [45 ] and imputed to the 1000 Genomes reference panel (Phase 1, Version3) [46 (link)] using IMPUTE3 V2.2.2 [47 (link)]. After removing SNPs with MAF (<0.1) and INFO (<0.8), genotype data were available for 8,099,747 SNPs.
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5

Illumina Genotyping Platform for ALSPAC

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Genetic data were acquired using the Illumina HumanHap550 quad genome-wide single nucleotide polymorphism (SNP) genotyping platform from 9912 participants. Following quality control assessment and imputation (see Supplementary Methods), genetic data was available for 7977 ALSPAC individuals.
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6

Genotyping DNA from Whole Blood

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Patients’ DNA was extracted from whole blood using a Maxwell 16 PROMEGA® extractor (Promega France, Charbonnières-les-Bains, France). Purity assessment followed the procedures described by the Centre National de Recherche en Génomique Humaine, estimated on a NanoDrop® spectrophotometer. Participants were genotyped using the Infinium PsychArray (PsychArray.html">https://www.illumina.com/products/by-type/microarray-kits/infinium-PsychArray.html). Samples were processed in two stages (2014 and 2017) by Integragen SA® (Evry, France) and genotype files were merged for this study, keeping variants common to both extractions.
Controls’ DNA was extracted and analyzed according to the Wellcome Trust Case-Control Consortium standards. Genotyping was performed with the humanhap550 array (Illumina, San Diego, CA, USA; humanhap550-quad_plus_dna_analysis_kit.html">https://support.illumina.com/array/array_kits/humanhap550-quad_plus_dna_analysis_kit.html).
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7

TCGA/CGEMS and IARC GWAS Replication of RCC

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For replication, we used, as detailed previously [2 (link)], data from TCGA and IARC. Briefly, the TCGA RCC clear cell cases (KIRC study, accession number phs000178.v7.p6) were genotyped using the Affymetrix Genome-Wide Human SNP Array 6.0. For controls we made use of data on healthy individuals from the CGEMS breast and prostate cancer study, genotyped using Illumina HumanHap550 and Phase 1A HumanHap300+Phase 1BHumanHap240 Beadchips respectively. Both cases and controls were formally examined for an overlap with the NCI GWAS samples. Any TCGA or CGEMS sample found to be a duplicate of or related to a sample from the NCI GWAS was removed from the replication dataset. After further checking for relatedness and European ancestry 383 cases and 2,189 controls constituted the TCGA/CGEMS replication series. The International Agency for Research on Cancer (IARC) GWAS consisted of 2,461 RCC cases (including 1,340 CCCs, 95 PCs, 88 other histological subtypes) and 5,081 controls of European background from eight European studies) and has previously been described [7 (link)]. Genotyping of cases and controls was performed using either Illumina HumanHap300, 550 or 610 Quad Beadchips. Data derived from the three arrays were imputed to recover rs3845536 genotype.
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8

ALSPAC Genotyping Protocol

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ALSPAC children were genotyped using the Illumina HumanHap550 quad chip genotyping platforms (Supplemental Methods). After quality control, 8237 children and 477,482 directly genotyped SNPs were kept within the study.
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9

Alopecia Areata Genetic Ancestry Analysis

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AA patients were ascertained through the National Alopecia Areata Registry with approval from institutional review boards of the contributing sites and genotyped on the Illumina HumanHap 610-Quadv1 or HumanHap 550 chip for our previous GWAS.4 (link) Controls consisted of individuals that were genotyped on HumanHap550, Illumina HumanHap 610-Quadv1, Illumina HumanHap 1M, Illumina HumanHap iM duo chips for 11 genome-wide association case-control or longitudinal studies unrelated to alopecia areata, as described previously.21 (link),22 (link),38 (link),39 (link) Ancestry-specific SNP genotypes called from the arrays were used in principal component analysis to determine genetic ancestry of each case and control. Only genetically European samples were used in our CNV analysis. Relatedness was also assessed with SNP genotypes to insure that cases and controls were unrelated.
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10

Breast Cancer Risk Prediction SNPs

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The 77 SNPs used to compute the PRS [6 ] were genotyped for the eight studies either as part of a GWAS (Illumina, Human Hap550) [34 (link)] or on a custom Illumina iSelect genotyping array comprising 211,155 SNPs (iCOGS, described in [1 (link)]). Quality control was conducted at the study level, as previously described [1 (link), 35 ]; call rates were > 95% for all SNPs. Thus, 77 SNPs associated with breast cancer and their published odds ratios were used to form the PRS.
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