TY - JOUR
T1 - An evaluation of analysis pipelines for DNA methylation profiling using the illumina humanmethylation450 BeadChip platform
AU - Marabita, Francesco
AU - Almgren, Malin
AU - Lindholm, Maléne E.
AU - Ruhrmann, Sabrina
AU - Fagerström-Billai, Fredrik
AU - Jagodic, Maja
AU - Sundberg, Carl J.
AU - Ekström, Tomas J.
AU - Teschendorff, Andrew E.
AU - Tegnér, Jesper
AU - Gomez-Cabrero, David
N1 - Generated from Scopus record by KAUST IRTS on 2021-02-16
PY - 2013/1/1
Y1 - 2013/1/1
N2 - The proper identification of differentially methylated CpGs is central in most epigenetic studies. The Illumina HumanMethylation450 BeadChip is widely used to quantify DNA methylation; nevertheless, the design of an appropriate analysis pipeline faces severe challenges due to the convolution of biological and technical variability and the presence of a signal bias between Infinium I and II probe design types. Despite recent attempts to investigate how to analyze DNA methylation data with such an array design, it has not been possible to perform a comprehensive comparison between different bioinformatics pipelines due to the lack of appropriate data sets having both large sample size and sufficient number of technical replicates. Here we perform such a comparative analysis, targeting the problems of reducing the technical variability, eliminating the probe design bias and reducing the batch effect by exploiting two unpublished data sets, which included technical replicates and were profiled for DNA methylation either on peripheral blood, monocytes or muscle biopsies. We evaluated the performance of different analysis pipelines and demonstrated that: (1) it is critical to correct for the probe design type, since the amplitude of the measured methylation change depends on the underlying chemistry, (2) the effect of different normalization schemes is mixed, and the most effective method in our hands were quantile normalization and Beta Mixture Quantile dilation (BMIQ) and (3) it is beneficial to correct for batch effects. In conclusion, our comparative analysis using a comprehensive data set suggests an efficient pipeline for proper identification of differentially methylated CpGs using the Illumina 450K arrays. © 2013 Landes Bioscience.
AB - The proper identification of differentially methylated CpGs is central in most epigenetic studies. The Illumina HumanMethylation450 BeadChip is widely used to quantify DNA methylation; nevertheless, the design of an appropriate analysis pipeline faces severe challenges due to the convolution of biological and technical variability and the presence of a signal bias between Infinium I and II probe design types. Despite recent attempts to investigate how to analyze DNA methylation data with such an array design, it has not been possible to perform a comprehensive comparison between different bioinformatics pipelines due to the lack of appropriate data sets having both large sample size and sufficient number of technical replicates. Here we perform such a comparative analysis, targeting the problems of reducing the technical variability, eliminating the probe design bias and reducing the batch effect by exploiting two unpublished data sets, which included technical replicates and were profiled for DNA methylation either on peripheral blood, monocytes or muscle biopsies. We evaluated the performance of different analysis pipelines and demonstrated that: (1) it is critical to correct for the probe design type, since the amplitude of the measured methylation change depends on the underlying chemistry, (2) the effect of different normalization schemes is mixed, and the most effective method in our hands were quantile normalization and Beta Mixture Quantile dilation (BMIQ) and (3) it is beneficial to correct for batch effects. In conclusion, our comparative analysis using a comprehensive data set suggests an efficient pipeline for proper identification of differentially methylated CpGs using the Illumina 450K arrays. © 2013 Landes Bioscience.
UR - http://www.tandfonline.com/doi/abs/10.4161/epi.24008
UR - http://www.scopus.com/inward/record.url?scp=84875737335&partnerID=8YFLogxK
U2 - 10.4161/epi.24008
DO - 10.4161/epi.24008
M3 - Article
C2 - 23422812
SN - 1559-2308
VL - 8
SP - 333
EP - 346
JO - Epigenetics
JF - Epigenetics
IS - 3
ER -