normalize450K

normalize450K normalizes Illumina Infinium HumanMethylation450 BeadChip (450K) data to correct dye- and signal intensity–related biases and produce accurate beta-values for DNA methylation profiling across approximately 485,000 CpG sites.


Key Features:

  • Local regression normalization: Applies a local regression–based normalization to correct biases related to dye intensity and probe methylation levels.
  • Dye-bias correction: Corrects fluorescence dye bias that can affect methylation measurements on microarrays.
  • Signal intensity and probe-specific adjustment: Adjusts for biases associated with signal intensity and probe-specific methylation levels to improve beta-value precision.
  • No probe-type bias adjustment: Deliberately does not adjust for probe type bias to avoid compromising the accuracy of beta-values despite potential precision trade-offs.

Scientific Applications:

  • Epigenetic DNA methylation profiling: Supports analysis of DNA methylation measured by the 450K BeadChip for epigenetic studies.
  • Reproducibility assessment: Improves correlation between technical replicates, demonstrated using 21 pairs of replicates.
  • Differential methylation detection: Assists detection of differential methylation across samples for epigenetic association studies.
  • Correlation with phenotype: Enhances correlation between methylation at smoking-associated CpG sites and smoking behavior in a cohort of 655 participants.

Methodology:

The method applies local regression normalization and corrections for dye bias and signal intensity while explicitly not adjusting for probe type bias.

Topics

Collections

Details

License:
BSD-4-Clause
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
1/11/2019

Operations

Publications

Heiss JA, Brenner H. Between-array normalization for 450K data. Frontiers in Genetics. 2015;6. doi:10.3389/fgene.2015.00092. PMID:25806048. PMCID:PMC4354407.

Documentation

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