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Custom infinium cardio metabochip

Manufactured by Illumina
Sourced in United States

The Custom Infinium Cardio-Metabochip is a high-density genotyping array designed by Illumina for the comprehensive analysis of genetic variants associated with cardiometabolic traits. The array provides coverage of common and rare variants in regions of the genome linked to cardiovascular, metabolic, and anthropometric phenotypes.

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2 protocols using custom infinium cardio metabochip

1

Genetic Risk Score for Childhood BMI

Check if the same lab product or an alternative is used in the 5 most similar protocols
Children in SKOT I and II were genotyped using the Illumina Infinium HumanCoreExome Beadchip. Children in the PANIC study were genotyped using the Illumina Custom Infinium Cardio-Metabochip and the Illumina Infinium HumanCoreExome Beadchip (Illumina, San Diego, CA, USA) and the genotypes from the two arrays were combined (see Supplementary Material 1 for information on quality control). The SNPs included in the GRS were selected based on a previously published GWAS meta-analysis in children 2-10 years of age (9 ) that identified 15 independent loci associated with BMI at genome-wide significance (p<5×10-8). We constructed a weighted BMI-increasing GRS by summing the number of BMI-increasing alleles weighted by the effect sizes of the variants estimated in the GWAS discovery study (Supplementary Material 1, Supplementary Table 1).
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2

Genetic Risk Score for Childhood BMI

Check if the same lab product or an alternative is used in the 5 most similar protocols
Children in SKOT I and II were genotyped using the Illumina Infinium HumanCoreExome Beadchip. Children in the PANIC study were genotyped using the Illumina Custom Infinium Cardio-Metabochip and the Illumina Infinium HumanCoreExome Beadchip (Illumina, San Diego, CA, USA) and the genotypes from the two arrays were combined (see Supplementary Material 1 for information on quality control). The SNPs included in the GRS were selected based on a previously published GWAS meta-analysis in children 2-10 years of age (9 ) that identified 15 independent loci associated with BMI at genome-wide significance (p<5×10-8). We constructed a weighted BMI-increasing GRS by summing the number of BMI-increasing alleles weighted by the effect sizes of the variants estimated in the GWAS discovery study (Supplementary Material 1, Supplementary Table 1).
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