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Updated: May 14, 2026

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
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Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Published on: September 18, 2020

A powerful statistical method for identifying differentially methylated markers in complex diseases.

Surin Ahn1, Tao Wang

  • 1Department of Epidemiology and Population Health, Albert Einstein College of Medicine of Yeshiva, 1300 Morris Park Ave, Bronx, NY 10461, USA. surin.ahn@gmail.com

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|February 21, 2013
PubMed
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This summary is machine-generated.

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This study introduces a new score test for identifying DNA methylation markers associated with complex diseases like cancer. The method improves statistical power by considering both average and variability of methylation levels, outperforming the t-test in simulations.

Area of Science:

  • Epigenetics and Molecular Biology
  • Genomics and Bioinformatics
  • Cancer Research

Background:

  • DNA methylation is a key epigenetic modification regulating gene expression and implicated in complex diseases, particularly cancer.
  • Genome-wide methylation patterns exhibit unique characteristics, necessitating advanced analytical methods.
  • Disease tissues often show distinct methylation levels (mean and variability) compared to normal tissues.

Purpose of the Study:

  • To develop a novel score test for identifying DNA methylation markers associated with disease.
  • To enhance statistical efficiency by utilizing both the first and second moments of methylation distribution.
  • To provide a flexible approach applicable to various disease phenotypes and covariate adjustments.

Main Methods:

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Methodology for Accurate Detection of Mitochondrial DNA Methylation
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Methodology for Accurate Detection of Mitochondrial DNA Methylation

Published on: May 20, 2018

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Last Updated: May 14, 2026

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
07:50

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Published on: September 18, 2020

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
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Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients

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Methodology for Accurate Detection of Mitochondrial DNA Methylation

Published on: May 20, 2018

  • Proposed a score test derived from a generalized regression model.
  • Simultaneously analyzed methylation distribution's mean and variability.
  • Evaluated performance against existing methods, including the t-test, via simulations.

    • Main Results:

    • The proposed score test demonstrated robustness to non-normal methylation data.
    • It showed substantially higher statistical power than the t-test when methylation variability differed between disease and normal tissues.
    • The method successfully identified novel methylation loci in an ovarian cancer dataset.

    Conclusions:

    • The novel score test offers an efficient and powerful approach for detecting disease-associated methylation markers.
    • It is particularly advantageous in scenarios with heterogeneous methylation variability.
    • The method has practical applications in cancer genomics and biomarker discovery.