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Updated: May 6, 2026

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
Published on: April 5, 2018
Extensive variation in chromatin states across humans
Maya Kasowski1, Sofia Kyriazopoulou-Panagiotopoulou, Fabian Grubert
1Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
Human regulatory regions show significant variation in chromatin states, impacting disease risk. This study reveals how genetic differences influence these dynamic chromatin landscapes and gene regulation across diverse populations.
Area of Science:
- Genomics
- Epigenetics
- Human population genetics
Background:
- Most disease-associated genetic variants are non-coding, implicating regulatory regions in disease susceptibility.
- Understanding variation in gene regulatory elements is crucial for deciphering disease predisposition.
Purpose of the Study:
- To investigate variations in chromatin states across diverse human populations.
- To explore the relationship between chromatin variability, genetic variation, and gene regulation.
Main Methods:
- Analysis of five histone modifications, cohesin, and CTCF in lymphoblastoid cell lines from 19 individuals.
- Comparison of chromatin states and enhancer activity across individuals.
- Assessment of genetic inheritance and correlation with population divergence.
Main Results:
- Extensive variation in regulatory region chromatin states observed, with frequent switching between active and repressed states.
- Enhancer activity displayed significant inter-individual diversity, while gene expression remained relatively stable.
- Chromatin variability demonstrated genetic inheritance, correlated with genetic variation, and linked to transcription factor binding motif disruptions.
Conclusions:
- Human chromatin states in regulatory regions are highly variable and influenced by genetics.
- This variability contributes to understanding human genetic diversity and disease association.
- Findings provide insights into the dynamic nature of the human epigenome.
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