Identification of novel differentially methylated sites with potential as clinical predictors of impaired respiratory function and COPD
Author(s) -
Mairead L. Bermingham,
Rosie M. Walker,
Riccardo E. Marioni,
Stewart W. Morris,
Konrad Rawlik,
Yanni Zeng,
Archie Campbell,
Paul Redmond,
Heather C. Whalley,
Mark J. Adams,
Caroline Hayward,
Ian J. Deary,
David J. Porteous,
Andrew M. McIntosh,
Kathryn L. Evans
Publication year - 2019
Publication title -
ebiomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.596
H-Index - 63
ISSN - 2352-3964
DOI - 10.1016/j.ebiom.2019.03.072
Subject(s) - copd , epigenetics , dna methylation , medicine , genome wide association study , cohort , population , genetics , biology , bioinformatics , single nucleotide polymorphism , gene , gene expression , genotype , environmental health
The causes of poor respiratory function and COPD are incompletely understood, but it is clear that genes and the environment play a role. As DNA methylation is under both genetic and environmental control, we hypothesised that investigation of differential methylation associated with these phenotypes would permit mechanistic insights, and improve prediction of COPD. We investigated genome-wide differential DNA methylation patterns using the recently released 850 K Illumina EPIC array. This is the largest single population, whole-genome epigenetic study to date.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom