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Axiom precision medicine diversity array

Manufactured by Thermo Fisher Scientific

The Axiom Precision Medicine Diversity Array is a high-throughput, comprehensive genotyping platform designed for genetic research. It provides a broad coverage of genetic variants associated with diverse populations and precision medicine applications.

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6 protocols using axiom precision medicine diversity array

1

Genotyping and Imputation for AMD Study

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Genotyping was undertaken using the Axiom™ Precision Medicine Diversity Array (Thermo Fisher) following standard protocols at the Ramaciotti Centre for Genomics. Imputation of genetic variants was performed on European-ancestry samples using the haplotype reference consortium (HRC) panel on the Michigan imputation server [58 (link)]. In post imputation quality control step all single nucleotide polymorphisms (SNPs) < 0.3 imputation quality scores were excluded from further downstream analysis. Of the 52 SNPs previously associated with AMD [59 (link)], 40 imputed genetic variants were available for further analysis. The remaining 12 variants were not present in the ASPREE imputed genotype data because they were not included in the microarray of the whole ASPREE cohort.
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2

Genotyping and PRS Calculation for Cardiomyopathy

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Peripheral blood samples were collected, and DNA was extracted following standard protocols.9 (link) Genotyping was performed using the Axiom Precision Medicine Diversity Array (v2.0; Thermo Fisher Scientific, CA) following standard protocols as described previously.10 (link) Array quality control was performed following the best practices workflow according to the manufacturer’s instructions with in-house pipelines. Thresholds of >82% for dish quality control and >97% call rate were applied to each sample. Variant imputation was performed on the Michigan imputation server running minmac4 with the Haplotype Reference Consortium.11 (link) Genomic risk analysis was performed with plink (v1.9) using both the genotyped and imputed variant calls with hg19 (GRCh37) coordinates. A polygenic risk score for indexed LV end-systolic volume that had been previously associated with incident DCM in the general population (LVESVi-PRS; PRS000666), and a polygenic risk score for hypertrophic cardiomyopathy (HCM) (HCM-PRS; PGS000778) were derived.12 (link),13 (link) A total of 20 of 28 variants were used for LVESVi-PRS with all 20 variants used for the HCM-PRS. Sequencing analysis to identify pathogenic rare variants in cardiomyopathy-associated genes was considered outside the scope of this study.
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3

Genotyping and Imputation of Blood DNA

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Blood DNA from MSK and VUMC were genotyped on the Affymetrix Axiom Precision Medicine Diversity Array. Imputation was performed on the Michigan Imputation Server using the 1000 Genomes phase 3 v5 reference panel. Standard quality control measures were implemented to remove poorly genotyped samples (call rate < 95%), SNPs (genotyping rate < 95%), and rare variants (minor allele frequency < 0.005) prior to imputation. After dropping samples with missing genotypes or low quality genotypes we had a total of N=729 (N=536 from MSKCC and N=193) in the genetics dataset.
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4

Genotyping Precision Medicine Diversity

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DNA from blood or saliva was extracted and genotyped using Affymetrix Axiom Precision Medicine Diversity Array. Samples with a call rate <95% were excluded from the analysis and SNPs with missing rates >5% were also excluded from the analysis. Genetic ancestry was calculated using principal component analysis in PLINK after linkage disequilibrium pruning (R2<0.1). Imputation was performed using the Michigan Imputation Server with the 1000 Genomes phase3 v5 reference panel. Standard genotyping and quality control procedures were implemented. Variants with minor allele frequency <0.01 were excluded from the analysis.
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5

Childhood Glioma Case-Control Study in California

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Californian glioma cases and controls (ncases = 3150, ncontrols = 3154) were selected from the California Childhood Cancer Record Linkage Project, a matched case–control study previously described in detail.21 (link) In short, cases were born in California between 1982 and 2009, with a primary glioma diagnosis made before the age of 15 years registered from 1988 to 2011. California-born cancer-free controls were matched to cases based on date of birth, sex, and self-reported maternal race and/or ethnicity via the California Vital Statistics records. A total of 3150 cases and 3154 controls were included; European-Americans (ncases = 1583, ncontrols = 1592), African-Americans (ncases = 215, ncontrols = 217,), Latino-Americans (ncases = 1208, ncontrols = 1222), and Asian-Americans (ncases = 238, ncontrols = 245). Archived neonatal dried blood spot samples for cases and controls were provided by the California Biobank Program (CBP SIS#311). DNA extraction and processing were performed on the Affymetrix Axiom Precision Medicine Diversity Array. Affymetrix Powertools were used to make genotype calls as previously described.22 (link) This study was approved by the State of California Committee for the Protection of Human Subjects, the University of Southern California, and University of California, Berkeley review board (CPHS IRB Project number 15-05-2005).
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6

Genotyping of Dried Blood Spots

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Archived DBS were obtained from the California biobank program. DNA extraction, processing, and genotyping were performed as previously described.15 (link) Briefly, DNA was extracted from a 1/3 of DBS using Genfind v3.0 (Beckman) reagents on an Eppendorf robot, and a minimum of 300 ng DNA (using nanodrop for purity and pico-green measurement for DNA quantity) was genotyped on the Affymetrix Axiom Precision Medicine Diversity Array (PMDA). Genotype calls were then extracted with Affymetrix Powertools. Polymorphisms were numbered according to the mitochondrial reference genome Genbank: NC_012920.1.
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