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Updated: Aug 14, 2025

Real-Time Quantification of the Effects of IS200/IS605 Family-Associated TnpB on Transposon Activity
Published on: January 20, 2023
Systemic interindividual epigenetic variation in humans is associated with transposable elements and under strong
Chathura J Gunasekara1, Harry MacKay1, C Anthony Scott1
1USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
We identified novel genetic links to DNA methylation patterns in human blood, which correlate with internal organ methylation and gene expression. These findings reveal many more methylation quantitative trait loci (mQTLs) and associate them with disease risk.
Area of Science:
- Genomics
- Epigenetics
- Human Genetics
Background:
- Genetic variants influence phenotypes through epigenetic modifications like methylation quantitative trait loci (mQTLs).
- Correlated regions of systemic interindividual variation (CoRSIVs) are genomic regions with variable CpG methylation, measurable in blood DNA without cellular composition bias.
Purpose of the Study:
- To conduct the first large-scale assessment of mQTLs within human CoRSIVs.
- To investigate the relationship between DNA methylation in blood and internal organs, and its genetic underpinnings.
Main Methods:
- Target-capture bisulfite sequencing was employed to analyze DNA methylation at 4086 CoRSIVs across multiple tissues from 188 GTEx donors.
- Genetic influences on CoRSIV methylation were quantified, and mQTLs were identified and characterized.
Main Results:
- DNA methylation at CoRSIVs in blood strongly correlates with methylation and gene expression in internal organs.
- An unprecedented number of mQTLs were discovered at CoRSIVs, with genetic influences being exceptionally strong (median R²=0.76), yielding over 70-fold more mQTLs than previous studies.
- mQTLs at CoRSIVs exhibited highly skewed beta coefficients, suggesting a major allele predicts higher methylation, potentially linked to transposable elements and evolutionary selection.
- These mQTL polymorphisms were found to be associated with metabolic and other diseases through GWAS analyses.
Conclusions:
- Focusing on systemic interindividual epigenetic variants, particularly mQTLs within CoRSIVs, significantly enhances the discovery of genetic associations.
- This approach is expected to advance studies linking human epigenetic variation to disease risk.
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