Advances in epigenome-wide association studies for common diseases

Trends in Molecular Medicine

Volumn 20, Issue 10, 2014, Pages 541-543

  Paul, Dirk S ^a   Beck, Stephan ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Biomarker; Disease mechanism; DNA methylation; EWAS; GWAS

Indexed keywords

DNA; HISTONE; BIOLOGICAL MARKER;

AUTOIMMUNE DISEASE; BODY MASS; CELL DIVISION; CELL POPULATION; CLINICAL ASSESSMENT; DNA DETERMINATION; DNA METHYLATION; DNA MODIFICATION; ENVIRONMENTAL FACTOR; EPIGENOME WIDE ASSOCIATION STUDY; GENE EXPRESSION; GENE LOCUS; GENETIC ASSOCIATION; GENETIC VARIABILITY; HISTONE MODIFICATION; HUMAN; IMMUNOPRECIPITATION; INSULIN DEPENDENT DIABETES MELLITUS; MENDELIAN RANDOMIZATION ANALYSIS; MOLECULAR DIAGNOSIS; MULTIPLE SCLEROSIS; OBESITY; PATHOGENESIS; PROMOTER REGION; QUANTITATIVE TRAIT LOCUS; RHEUMATOID ARTHRITIS; RNA SEQUENCE; SHORT SURVEY; GENETIC EPIGENESIS; GENETIC PREDISPOSITION; GENETICS; PROCEDURES; STANDARDS;

ARTHRITIS, RHEUMATOID; BIOLOGICAL MARKERS; DNA METHYLATION; EPIGENESIS, GENETIC; GENETIC PREDISPOSITION TO DISEASE; GENOME-WIDE ASSOCIATION STUDY; HUMANS; MULTIPLE SCLEROSIS;

EID: 84908222410     PISSN: 14714914     EISSN: 1471499X     Source Type: Journal    
DOI: 10.1016/j.molmed.2014.07.002     Document Type: Short Survey

References (11)

1. Rakyan V.K., et al. Epigenome-wide association studies for common human diseases. Nat. Rev. Genet. 2011, 12:529-541.
2. Michels K.B., et al. Recommendations for the design and analysis of epigenome-wide association studies. Nat. Methods 2013, 10:949-955.
3. Liu Y., et al. Epigenome-wide association data implicate DNA methylation as an intermediary of genetic risk in rheumatoid arthritis. Nat. Biotechnol. 2013, 31:142-147.
4. Houseman E.A., et al. DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinformatics 2012, 13:86.
5. Zou J., et al. Epigenome-wide association studies without the need for cell-type composition. Nat. Methods 2014, 11:309-311.
6. Houseman E.A., et al. Reference-free cell mixture adjustments in analysis of DNA methylation data. Bioinformatics 2014, 30:1431-1439.
7. Rakyan V.K., et al. Identification of type 1 diabetes-associated DNA methylation variable positions that precede disease diagnosis. PLoS Genet. 2011, 7:e1002300.
8. Dick K.J., et al. DNA methylation and body-mass index: a genome-wide analysis. Lancet 2014, 383:1990-1998.
9. Bell J.T., et al. Differential methylation of the TRPA1 promoter in pain sensitivity. Nat. Commun. 2014, 5:2978.
10. Huynh J.L., et al. Epigenome-wide differences in pathology-free regions of multiple sclerosis-affected brains. Nat. Neurosci. 2014, 17:121-130.
11. Relton C.L., Davey Smith G. Two-step epigenetic Mendelian randomization: a strategy for establishing the causal role of epigenetic processes in pathways to disease. Int. J. Epidemiol. 2012, 41:161-176.