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Differential long noncoding RNA profiling of BMI in twins
Weilong Li1, Jan Baumbach2,3, Martin J Larsen4,5
1Unit of Epidemiology, Biostatistics & Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Epigenomics
|September 9, 2020
Summary
This study reveals that long noncoding RNAs (lncRNAs) in whole blood are significantly influenced by Body Mass Index (BMI) variations. BMI appears to causally affect the expression of specific lncRNAs, impacting biological processes.
Area of Science:
- Epigenetics
- Genomics
- Human Physiology
Background:
- Genetic variants are extensively studied for BMI association.
- Epigenetic regulation, particularly via long noncoding RNAs (lncRNAs), offers an alternative avenue for understanding BMI variation.
Purpose of the Study:
- To investigate the epigenetic contribution of lncRNAs to Body Mass Index (BMI) variation.
- To identify specific lncRNAs in whole blood whose expression is associated with BMI.
Main Methods:
- Analysis of lncRNA expression in whole blood from 229 monozygotic twin pairs.
- Utilized generalized estimating equations to assess the association between lncRNA expression and BMI.
- Applied false discovery rate (FDR) < 0.05 for significance threshold.
Main Results:
- Identified six significant lncRNA probes associated with BMI.
- Demonstrated a causal effect of BMI on the expression of these identified lncRNAs.
- Functional annotation linked differential lncRNA profiles to biological processes like kidney development and lipid metabolism.
Conclusions:
- Whole blood lncRNA expression is significantly responsive to BMI variations.
- lncRNAs represent a key epigenetic regulatory layer influenced by BMI.
- Findings suggest a role for lncRNAs in BMI-related physiological processes.
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