Quality control for Illumina 450K methylation data in the absence of iDat files using correlation structure in pedigrees and repeated measures

An important feature in many genomic studies is quality control and normalization. This is particularly important when analyzing epigenetic data, where the process of obtaining measurements can be bias prone.