Adjustment of Cell-Type Composition Minimizes Systematic Bias in Blood DNA Methylation Profiles Derived by DNA Collection Protocols

A systematic study of normalization methods for Infinium 450K methylation data using whole-genome bisulfite sequencing data

(2015) Ting Wang et al.   Epigenetics

Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays

(2014) Martin J. Aryee et al.   BIOINFORMATICS

Integrative genomic analysis identifies epigenetic marks that mediate genetic risk for epithelial ovarian cancer

(2014) Devin C Koestler et al.   BMC Medical Genomics

Epigenome-wide DNA methylation changes with development of arsenic-induced skin lesions in Bangladesh: A case-control follow-up study

(2014) Wei Jie Seow et al.   ENVIRONMENTAL AND MOLECULAR MUTAGENESIS

Differences in smoking associated DNA methylation patterns in South Asians and Europeans

(2014) Hannah R Elliott et al.   Clinical Epigenetics

Accounting for cellular heterogeneity is critical in epigenome-wide association studies

(2014) Andrew E Jaffe et al.   GENOME BIOLOGY

Stratified randomization controls better for batch effects in 450K methylation analysis: a cautionary tale

(2014) Olive D. Buhule et al.   Frontiers in Genetics

ChAMP: 450k Chip Analysis Methylation Pipeline

(2013) Tiffany J. Morris et al.   BIOINFORMATICS

MethylPCA: a toolkit to control for confounders in methylome-wide association studies

(2013) Wenan Chen et al.   BMC BIOINFORMATICS

Batch Effects and Pathway Analysis: Two Potential Perils in Cancer Studies Involving DNA Methylation Array Analysis

(2013) K. N. Harper et al.   CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION

Epigenome-wide Association Study of Breast Cancer Using Prospectively Collected Sister Study Samples

(2013) Zongli Xu et al.   JNCI-Journal of the National Cancer Institute

Epigenome-wide association data implicate DNA methylation as an intermediary of genetic risk in rheumatoid arthritis

(2013) Yun Liu et al.   NATURE BIOTECHNOLOGY

Effects of early-life environment and epigenetics on cardiovascular disease risk in children: highlighting the role of twin studies

(2013) Cong Sun et al.   PEDIATRIC RESEARCH

IMA: an R package for high-throughput analysis of Illumina's 450K Infinium methylation data

(2012) D. Wang et al.   BIOINFORMATICS

DNA methylation arrays as surrogate measures of cell mixture distribution

(2012) Eugene Houseman et al.   BMC BIOINFORMATICS

Differential DNA Methylation in Purified Human Blood Cells: Implications for Cell Lineage and Studies on Disease Susceptibility

(2012) Lovisa E. Reinius et al.   PLoS One

SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChips

(2012) Jovana Maksimovic et al.   GENOME BIOLOGY

Batch effect correction for genome-wide methylation data with Illumina Infinium platform

(2011) Zhifu Sun et al.   BMC Medical Genomics

A statistical framework for Illumina DNA methylation arrays

(2010) Pei Fen Kuan et al.   BIOINFORMATICS