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Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis |
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| Authors: | Pan Du Xiao Zhang Chiang-Ching Huang Nadereh Jafari Warren A Kibbe Lifang Hou Simon M Lin |
| Institution: | 1.Northwestern University Biomedical Informatics Center (NUBIC), NUCATS, Feinberg School of Medicine,Northwestern University,Chicago,USA;2.Department of Preventive Medicine, Feinberg School of Medicine,Northwestern University,Chicago,USA;3.The Robert H. Lurie Comprehensive Cancer Center,Northwestern University,Chicago,USA;4.Center for Genetic Medicine, Feinberg School of Medicine,Northwestern University,Chicago,USA |
| Abstract: | BackgroundHigh-throughput profiling of DNA methylation status of CpG islands is crucial to understand the epigenetic regulation of genes. The microarray-based Infinium methylation assay by Illumina is one platform for low-cost high-throughput methylation profiling. Both Beta-value and M-value statistics have been used as metrics to measure methylation levels. However, there are no detailed studies of their relations and their strengths and limitations. |
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