An unbiased approach to measure aberrant DNA methylation alterations

The ability to accurately measure aberrant DNA methylation levels is integral to the understanding of DNA methylation biology. It is well-established that in cancer, the largest, and thus, most biologically important absolute gains of DNA methylation levels occur at CpG sites with low native levels while the largest losses occur at CpG sites with high native levels. Conventional wisdom assumes that the observed association between the degree of the alterations and the native levels are largely due to the limitations of change within the DNA methylation scale. Here, we present evidence that this association is largely caused by alterations occurring as a global rate of change relative to the native level. We show that DNA methylation alterations can be accurately compared by calculating the rate of change relative to the native level. Most importantly, this approach enables the identification of more biologically significant DNA methylation alterations.

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Publication Details

Journal
Nature Communications
Published
2026-03-27
DOI
https://doi.org/10.1038/s41467-026-71089-5
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
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article

An unbiased approach to measure aberrant DNA methylation alterations

Hanran Lei, Bradley M. Downs, Kuangwen Hsieh, Tza-Huei Wang et al.
Nature Communications
Epigenetics and DNA Methylation
article

An unbiased approach to measure aberrant DNA methylation alterations

Hanran Lei, Bradley M. Downs, Kuangwen Hsieh, Tza-Huei Wang, Thomas R. Pisanic, Jiumei Hu, Tra My Hoang, Joon Soo Park
article en

Abstract

The ability to accurately measure aberrant DNA methylation levels is integral to the understanding of DNA methylation biology. It is well-established that in cancer, the largest, and thus, most biologically important absolute gains of DNA methylation levels occur at CpG sites with low native levels while the largest losses occur at CpG sites with high native levels. Conventional wisdom assumes that the observed association between the degree of the alterations and the native levels are largely due to the limitations of change within the DNA methylation scale. Here, we present evidence that this association is largely caused by alterations occurring as a global rate of change relative to the native level. We show that DNA methylation alterations can be accurately compared by calculating the rate of change relative to the native level. Most importantly, this approach enables the identification of more biologically significant DNA methylation alterations.

Nature Communications
Johns Hopkins University (US), Konkuk University (KR)
Openalex Percentile: Top 5%
Epigenetics and DNA Methylation
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