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.
DNA Methylation Analysis of Twin Samples
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.
Corresponding Organization : University of Southern Denmark
Other organizations : Oslo University Hospital, University of Oslo, Odense University Hospital, Statens Serum Institut
Variable analysis
- Bisulfite conversion of genomic DNA from peripheral blood using the EZ DNA methylation Kit (ZYMO research)
- DNA methylation (DNAm) status assessed using the Infinium 450 K HumanMethylation BeadChip (Illumina)
- Co-twins were processed together on the same chip to minimize the batch effect on intra-pair DNAm differences
- Data normalization was done using the free R package minfi, which employs subset quantile within-array normalization
- Quality control (QC) was performed using minfi to calculate the detection p-value and exclude CpGs with more than 5% missing data
- Statistical algorithm integrated in minfi was applied to adjust for differences in cell type composition between co-twins
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