Genetic information was obtained through a previous initiative. DNA was extracted from venous blood samples using the Qiagen (Germantown, MD) DNAeasy kit, which were then sent to BGI-Shenzhen for processing. Genotype information was obtained using a Goldengate platform (Illumina).
GRS were calculated using the same method as presented by Ananthakrishnan et al. Risk alleles as well as their log odds ratios of association with disease were identified from Jostins et al. Each allele was then assigned a weight, with wild type as 0, heterozygous as 1 and homozygous as 2. The overall GRS was the summation of the weighted contribution of each risk allele calculated as Σ [log(odds ratio) × allele weight (0,1,2)]. Missing data on allele genotype were counted as wild type. Unlike Ananthakrishnan et al., we elected to keep GRS as a continuous variable for our analyses rather than arbitrarily dividing it into quartiles. Our Immunochip covers 151 of the 163 risk alleles described by Jostins et al. (14 (link)). The list of genes and their odds ratios is included inSupplementary Appendix 1a .
GRS were calculated using the same method as presented by Ananthakrishnan et al. Risk alleles as well as their log odds ratios of association with disease were identified from Jostins et al. Each allele was then assigned a weight, with wild type as 0, heterozygous as 1 and homozygous as 2. The overall GRS was the summation of the weighted contribution of each risk allele calculated as Σ [log(odds ratio) × allele weight (0,1,2)]. Missing data on allele genotype were counted as wild type. Unlike Ananthakrishnan et al., we elected to keep GRS as a continuous variable for our analyses rather than arbitrarily dividing it into quartiles. Our Immunochip covers 151 of the 163 risk alleles described by Jostins et al. (14 (link)). The list of genes and their odds ratios is included in
