作者: M.-L. Ong , X. Lin , J. D. Holbrook
DOI: 10.1017/S2040174414000506
关键词:
摘要: Analysis of DNA methylation data in epigenome-wide association studies provides many bioinformatics and statistical challenges. Not least these, are the non-independence individual marks from each other, genotype technical sources variation. In this review we discuss Infinium450K array processing methodologies to reduce We describe recent approaches harness concordance neighbouring values improve power studies. also how has been used infer causality (in case Mendelian randomization approaches); suggest mediating effect linking intergenic single nucleotide polymorphisms, identified genome-wide studies, phenotype; uncover widespread influence gene environment interactions on levels.