Imperial College London
Alternate

ProfessorJohnChambers

Faculty of Medicine, School of Public Health

Professor of Cardiovascular Medicine & Epidemiology
 
 
 
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Contact

 

+44 (0)7866 365 776john.chambers

 
 
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Location

 

172Medical SchoolSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Lehne:2015:10.1186/s13059-015-0600-x,
author = {Lehne, B and Drong, AW and Loh, M and Zhang, W and Scott, WR and Tan, S-T and Afzal, U and Scott, J and Jarvelin, M-R and Elliott, P and McCarthy, MI and Kooner, JS and Chambers, JC},
doi = {10.1186/s13059-015-0600-x},
journal = {Genome Biology},
title = {A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies},
url = {http://dx.doi.org/10.1186/s13059-015-0600-x},
volume = {16},
year = {2015}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - DNA methylation plays a fundamental role in the regulation of the genome, but the optimal strategy for analysis ofgenome-wide DNA methylation data remains to be determined. We developed a comprehensive analysis pipelinefor epigenome-wide association studies (EWAS) using the Illumina Infinium HumanMethylation450 BeadChip, basedon 2,687 individuals, with 36 samples measured in duplicate. We propose new approaches to quality control, datanormalisation and batch correction through control-probe adjustment and establish a null hypothesis for EWASusing permutation testing. Our analysis pipeline outperforms existing approaches, enabling accurate identificationof methylation quantitative trait loci for hypothesis driven follow-up experiments.
AU  - Lehne,B
AU  - Drong,AW
AU  - Loh,M
AU  - Zhang,W
AU  - Scott,WR
AU  - Tan,S-T
AU  - Afzal,U
AU  - Scott,J
AU  - Jarvelin,M-R
AU  - Elliott,P
AU  - McCarthy,MI
AU  - Kooner,JS
AU  - Chambers,JC
DO  - 10.1186/s13059-015-0600-x
PY  - 2015///
SN  - 1474-760X
TI  - A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies
T2  - Genome Biology
UR  - http://dx.doi.org/10.1186/s13059-015-0600-x
UR  - http://hdl.handle.net/10044/1/28695
VL  - 16
ER  -
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