BioinformaticsBioinformaticsPeer-reviewed journal article
mLiftOver: Harmonizing Data Across Infinium DNA Methylation Platforms
Abstract
Infinium DNA methylation BeadChips are widely used for genome-wide DNA methylation profiling at the population scale. Recent updates to probe content and naming conventions in the EPIC version 2 (EPICv2) arrays have complicated integrating new data with previous Infinium array platforms, such as the EPIC and the HumanMethylation450 (HM450) BeadChip. We present mLiftOver, a user-friendly tool that transfers probe ID, methylation level, and signal intensity data across different Infinium platforms. It manages probe replicates, missing data imputation, and platform-specific bias for accurate data conversion. We validated the tool by applying HM450-based cancer classifiers to EPICv2 cancer data, achieving high accuracy. Additionally, we successfully integrated EPICv2 healthy tissue data with legacy HM450 data for tissue identity analysis and produced consistent copy number profiles in cancer cells. Availability and implementationmLiftOver is implemented R and available in the Bioconductor package SeSAMe (version 3.21.13+): https://bioconductor.org/packages/release/bioc/html/sesame.html Analysis of EPIC and EPICv2 platform-specific bias and high-confidence mapping is available at https://github.com/zhou-lab/InfiniumAnnotationV1/blob/main/Anno/EPICv2/EPICv2ToEPIC_conversion.tsv.gz The source code is available at https://github.com/zwdzwd/sesame/blob/devel/R/mLiftOver.R under the MIT license.
- organism: human
- assay: DNA methylation
- research focus: batch correction / integration
- research focus: variant calling
- approach: statistical model
- Citations
- 11
- FWCI
- 1.49
- Field percentile
- top 18%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array
Jean-Philippe Fortin, Timothy Triche, Kasper Hansen·bioRxiv·Jul 23, 2016
- Re-annotating the EPICv2 manifest with genes, intragenic features, and regulatory elements
Bethan Mallabar-Rimmer, Jonathan S. Mill, … Amy P. Webster·bioRxiv·Mar 12, 2025
- Identification of polymorphic and off-target probe binding sites on the Illumina Infinium MethylationEPIC BeadChip
Daniel L McCartney, Rosie M Walker, … Kathryn L Evans·bioRxiv·Jun 7, 2016
- Accounting for differences between Infinium MethylationEPIC v2 and v1 in DNA methylation-based tools
Beryl C Zhuang, Marcia Smiti Jude, … Michael Steffen Kobor·Life Science AlliancePeer-reviewed·Jul 8, 2025
- Creating DNAm Algorithms Using the Illumina Methylation Screening Array (MSA)
Kirsten Seale, Sayf Al-Deen Hassouneh, … Natàlia Carreras-Gallo·bioRxiv·Sep 4, 2026
- Pylluminator: fast and scalable analysis of DNA methylation data in Python
Elio Fanchon, Benjamin Loire, … Anaı̈s Baudot·Bioinformatics AdvancesPeer-reviewed·Jan 1, 2026