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Methylation Risk Score Modelling in Endometriosis: Evidence for Non-Genetic DNA Methylation Effects in a Case-Control

Li Ying Thong1, Allan F McRae1, Marina Sirota2,3

  • 1Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD 4072, Australia.

International Journal of Molecular Sciences
|May 7, 2025
PubMed
Summary
This summary is machine-generated.

This study developed a methylation risk score (MRS) for endometriosis, identifying DNA methylation signals beyond genetics. The MRS improved disease detection when combined with polygenic risk scores (PRS).

Keywords:
DNA methylationendometriosisendometriummethylation risk scorepolygenic risk score

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Area of Science:

  • Gynaecology
  • Epigenetics
  • Genomics

Background:

  • Endometriosis is a chronic gynaecological disease with a known genetic component, but environmental influences are less understood.
  • DNA methylation (DNAm) is a key epigenetic mechanism influenced by both genetic and environmental factors, serving as a biomarker for disease exposure.
  • Current research on environmental impacts on endometriosis is limited, highlighting a need for better understanding of its pathogenesis.

Purpose of the Study:

  • To develop a methylation risk score (MRS) for endometriosis.
  • To enhance the detection of DNA methylation signals associated with endometriosis.
  • To improve the understanding of endometriosis pathogenesis by integrating genetic and epigenetic factors.

Main Methods:

  • Analysis of endometrial methylation and genotype data from 318 controls and 590 endometriosis cases.
  • Development of several methylation risk score (MRS) models.
  • Evaluation of MRS performance using training and test sets from independent cohort institutions, calculating the area under the receiver-operator curve (AUC).

Main Results:

  • The best-performing MRS achieved a maximum AUC of 0.6748, utilizing 746 DNA methylation sites.
  • Combining the MRS with a polygenic risk score (PRS) demonstrated consistently higher classification performance than PRS alone.
  • The study identified DNA methylation signals associated with endometriosis that are independent of common genetic variants.

Conclusions:

  • DNA methylation provides valuable insights into endometriosis pathogenesis, independent of common genetic variations.
  • A methylation risk score (MRS) can effectively identify endometriosis risk.
  • Integrating MRS with PRS offers a more powerful approach for assessing endometriosis risk and understanding its complex etiology.