Protocol detail

Genetic Data Curation and Quality Control

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Imputed genetic data were obtained from BiB. All samples were genotyped using two chips: the Infinium Global Sequencing Array-24 v.1 (GSA) (~640K SNPs) and the Infinium CoreExome-24 v1.1 BeadChip (~550K SNPs) (21 (link)). Genetic data from the Illumina Global Sequencing Array (GSA) and Illumina CoreExome SNPs were combined. Where SNPs were missing in >5% of individuals, they were excluded (21 (link)). When evaluating imputed data, the R² value can be a measure of quality control as it reflects to the estimated proportion of genetic variation maintained in the imputed data. As a result, SNPs with an R² <0.9 were excluded prior to analysis.

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Fuller H., Iles M.M., Moore J.B, & Zulyniak M.A. (2023). Metabolic drivers of dysglycemia in pregnancy: ethnic-specific GWAS of 146 metabolites and 1-sample Mendelian randomization analyses in a UK multi-ethnic birth cohort. Frontiers in Endocrinology, 14, 1157416.

Publication 2023

CoreExome

Chips Genetic variation Snps

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Variable analysis

independent variables

Genetic data from the Illumina Global Sequencing Array (GSA) and Illumina CoreExome SNPs

dependent variables

Not explicitly mentioned

control variables

SNPs with an R^2 < 0.9 were excluded prior to analysis
SNPs missing in >5% of individuals were excluded

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