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Epigenetic Regulation

Epigenetic Regulation

Epigenetic changes alter the physical structure of the DNA without changing the genetic sequence and often regulate whether genes are turned on or off. This regulation ensures that each cell produces only proteins necessary for its function. For example, proteins that promote bone growth are not produced in muscle cells. Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
X-chromosome...

Inheritance of Chromatin Structures

Inheritance of Chromatin Structures

Epigenetics is the study of inherited changes in a cell's phenotype without changing the DNA sequences. It provides a form of memory for the differential gene expression pattern to maintain cell lineage, position-effect variegation, dosage compensation, and maintenance of chromatin structures such as telomeres and centromeres. For example, the structure and location of the centromere on chromosomes are epigenetically inherited. Its functionality is not dictated or ensured by the underlying...

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Related Experiment Video

Updated: Feb 20, 2026

Methyl-binding DNA capture Sequencing for Patient Tissues

Methyl-binding DNA capture Sequencing for Patient Tissues

Published on: October 31, 2016

Mapping eQTL by leveraging multiple tissues and DNA methylation.

Chaitanya R Acharya^1,2, Kouros Owzar², Andrew S Allen^3,4

¹Program in Computational Biology and Bioinformatics, Duke University, 2424 Erwin Road, Suite 1104, Durham, 27710, NC, USA.

BMC Bioinformatics

|October 20, 2017

Summary

This summary is machine-generated.

This study introduces a novel statistical method to map expression quantitative trait loci (eQTLs) by integrating DNA methylation data, improving detection power for tissue-specific gene expression. The approach identifies previously undetected eQTLs, offering new insights into genetic and epigenetic regulation.

Keywords:

Brain CpG islands DNA methylation Gene expression Monte Carlo simulations Multiple tissues SNP Score test Tissue-specificity eQTL

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Published on: October 31, 2016

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Area of Science:

Genomics
Epigenetics
Systems Biology

Background:

DNA methylation is a key tissue-specific epigenetic regulator of gene expression.
Differentially methylated CpG sites can mediate the relationship between genetic variation and gene expression.
Existing multi-tissue eQTL mapping methods have limitations in jointly modeling genetic and epigenetic effects.

Purpose of the Study:

To develop a new statistical approach for multi-tissue eQTL mapping that incorporates DNA methylation data.
To improve the power and accuracy of detecting eQTLs by modeling the interplay between genotype, methylation, and tissue-specific expression.
To identify novel eQTLs influenced by DNA methylation patterns.

Main Methods:

A novel score test-based statistical approach is proposed.
The method jointly models genotypic effects and interaction effects between genotype, methylation, and tissues.
Monte Carlo simulations were used to evaluate performance compared to existing methods.

Main Results:

The new method demonstrates improved statistical power for detecting eQTLs in the presence of both genetic and DNA methylation effects.
Application to human brain data identified eQTLs missed by standard tissue-by-tissue or joint tissue analyses.
Specific eQTLs were identified by leveraging methylated CpG sites in the LHX9 gene, suggesting a role in neural development.

Conclusions:

The score test approach avoids parameter estimation under the alternative hypothesis, simplifying model fitting.
The framework can be extended to model other epigenetic modifications (e.g., micro-RNAs) and genomic events (e.g., alternative splicing).
This method provides a flexible platform for dissecting complex gene regulation involving genetic and epigenetic factors across multiple tissues.