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Methylation was measured using the beta value taken from the Level 2 files provided by TCGA.
Based on TCGA Infinium 450K data, for any DMR identified in our study that overlaped at least one Infinium probe, we computed the average methylation level (aML) in each cancer type group (described in Additional file 1: Table S8) using the beta value of overlapping Infinium probes.
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For DNA methylation data, we use the beta value, which is a number between zero and one that measures the percentage of methylation.
Methylation levels for promoters and bodies were obtained using the beta-value means of the corresponding CpG probes.
Therefore, in order to prevent overestimation of the risk, we used the beta values from the appendix of the paper as suggested by Stevens et al. [ 8].Not all participants had a follow-up of 8 years; therefore, two types of analysis were conducted.
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Using the beta-binomial p-value, imbalance detection accuracy and precision remain significantly higher for imputed and common variants than for predicted rare variants.
For the Kaplan-Meier curves, groups of low and high methylation were defined via bifurcation using the median beta value of the specific probe.
This dimensionless slope tells how much a given compound's abundance depends on the total abundance; it is formally identical to the beta value used in Mathematical Portfolio Analysis, which is commonly called "stock volatility" [19].
The BMIQ package was used to adjust the beta values of type 2 design microarray probes into a statistical distribution characteristic of type 1 probes.
The logit-transform of the beta value (M) was used for all 450K statistical analyses.
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