Introduction to epigenomics and epigenome-wide analysis

Area of Science:

• Epigenetics and Genomics
• Molecular Biology
• Computational Biology

Background:

• Epigenetics involves heritable changes not encoded in DNA sequence, with DNA methylation at CpG sites being a primary mechanism.
• Aberrant DNA methylation is linked to various diseases, especially cancer.
• Epigenetic mechanisms include histone modifications, micro-RNAs, and chromatin remodeling.

Purpose of the Study:

• To provide an overview of epigenomics, with a focus on analyzing genome-wide cytosine methylation data.
• To review current technologies for measuring DNA methylation, including their strengths and weaknesses.
• To discuss the identification of aberrant methylation loci for disease diagnostics and therapeutics.

Main Methods:

• Overview of microarray-based and sequencing-based techniques for genome-wide DNA methylation analysis.
• Discussion of statistical approaches for identifying differentially methylated loci across multiple samples.
• Emphasis on the importance of genomic context in understanding epigenetic mechanisms.

Main Results:

• Current technologies offer various advantages and limitations for measuring DNA methylation.
• Comparison of methylation levels across samples is crucial for identifying disease-associated changes.
• Prioritization of candidate loci requires robust statistical testing and consideration of genomic context.

Conclusions:

• Accurate methylation measurements are essential for reliable epigenetic studies.
• Identifying aberrant methylation patterns can lead to novel diagnostic tools and therapeutic strategies.
• Further statistical research is needed for building predictive methylation-based models.