Genomic DNA from peripheral blood was bisulfite converted using the EZ DNA methylation Kit (ZYMO research), and DNAm status was assessed using the Infinium 450 K HumanMethylation BeadChip (Illumina) according to the manufacturer’s instructions at the Norwegian Microarray Consortium in Oslo. In order to minimize the batch effect on intra-pair DNAm differences, co-twins were processed together on the same chip. Data normalization was done using the free R package minfi, which employs subset quantile within-array normalization (24 (link)). The level of DNAm was summarized by calculating the “beta” value defined by the Illumina’s formula as β = M/(M + U + 100). We also performed QC using minfi to calculate the detection p-value defined as the proportion of control probes, which have intensities greater than that probe on the same array. A β value with its assigned detection p-value >0.01 was treated as missing. CpGs with more than 5% missing data were dropped from the subsequent analysis.
To adjust for differences in cell type composition between co-twins, we applied a statistical algorithm integrated in minfi (25 (link), 26 (link)). All downstream analyses were based on this cell type adjusted dataset.
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