Correcting for cell-type composition bias in epigenome-wide association studies

Epigenome-wide association studies without the need for cell-type composition

(2014) James Zou et al.   NATURE METHODS

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

(2014) Andrew E Jaffe et al.   GENOME BIOLOGY

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

(2013) Yun Liu et al.   NATURE BIOTECHNOLOGY

DNA methylation age of human tissues and cell types

(2013) Steve Horvath   GENOME BIOLOGY

DNA methylation arrays as surrogate measures of cell mixture distribution

(2012) Eugene Houseman et al.   BMC BIOINFORMATICS

Regulated Noise in the Epigenetic Landscape of Development and Disease

(2012) Elisabet Pujadas et al.   CELL

FaST linear mixed models for genome-wide association studies

(2011) Christoph Lippert et al.   NATURE METHODS

Epigenome-wide association studies for common human diseases

(2011) Vardhman K. Rakyan et al.   NATURE REVIEWS GENETICS