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Related Experiment Video

Updated: Aug 7, 2025

A Semiautomated ChIP-Seq Procedure for Large-scale Epigenetic Studies
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A systematic evaluation of normalization methods and probe replicability using infinium EPIC methylation data.

H Welsh1, C M P F Batalha2, W Li3

  • 1Department of Anthropology, University of Toronto at Mississauga, Mississauga, Canada. hayley.welsh@mail.utoronto.ca.

Clinical Epigenetics
|March 11, 2023
PubMed
Summary
This summary is machine-generated.

The SeSAMe 2 normalization method significantly improves reproducibility for the Infinium EPIC array, outperforming other methods and enhancing probe reliability for methylation analysis.

Keywords:
DNA methylationICCIllumina EPIC arrayNormalizationReproducibility

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Area of Science:

  • Epigenetics
  • Genomics
  • Bioinformatics

Background:

  • The Infinium EPIC array, measuring over 850,000 CpG sites, uses Type I and Type II probes with distinct technical characteristics that can bias analyses.
  • Existing normalization and pre-processing methods aim to mitigate issues like probe type bias, background noise, and dye bias.

Purpose of the Study:

  • To evaluate and compare the performance of various normalization methods for the Infinium EPIC array.
  • To identify the most effective normalization strategy for improving data quality and reproducibility.

Main Methods:

  • Evaluation of normalization methods using 16 replicated samples.
  • Assessment based on absolute beta-value difference, CpG overlap in replicates, and beta-value distribution.
  • Pearson's correlation and intraclass correlation coefficient (ICC) analyses on raw and normalized data.

Main Results:

  • SeSAMe 2 normalization, including extra QC and pOOBAH masking, was the top-performing method; quantile-based methods performed worst.
  • High whole-array Pearson's correlations were observed, but a significant portion of probes showed poor reproducibility (ICC < 0.50).
  • Poor probe performance was linked to limited biological variation, not technical error; SeSAMe 2 improved ICC from 45.18% to 61.35%.

Conclusions:

  • SeSAMe 2 is the recommended normalization method for Infinium EPIC array data, significantly enhancing probe reproducibility.
  • Quantile normalization methods should be avoided due to poor performance.
  • Addressing probe reliability issues is crucial for accurate methylation studies, and SeSAMe 2 offers a substantial improvement.