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Temporal associations between leukocytes DNA methylation and blood lipids: a longitudinal study
Zhiyu Wu1, Lu Chen1, Xuanming Hong1
1Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Clinical Epigenetics
|October 24, 2022
Summary
This study reveals novel DNA methylation sites linked to blood lipids in a Chinese population, using longitudinal data to explore temporal associations and mediation by body mass index, advancing understanding of lipid metabolism regulation.
Area of Science:
- Epigenetics
- Genomics
- Metabolic Health
Background:
- Epigenome-wide association studies (EWAS) on blood lipids and DNA methylation primarily focus on European ancestry.
- Limited longitudinal data exists to establish causal relationships between DNA methylation and lipid measures.
Purpose of the Study:
- To investigate associations between DNA methylation and lipid profiles in a Chinese population.
- To explore the temporal sequence of these associations using longitudinal data.
- To examine mediation effects of DNA methylation on the relationship between BMI and lipids.
Main Methods:
- Utilized Illumina 450K/EPIC arrays for DNA methylation analysis in two Chinese cohorts (n=1084 and n=988).
- Employed cross-lagged and mediation analyses on longitudinal data.
- Focused on peripheral blood leukocytes DNA methylation and four lipid measures.
Main Results:
- Identified 23 associations between 19 CpG sites and lipid measures, including 4 novel CpG sites near TMEM49, SNX5/SNORD17, and CCDC7 genes.
- Found temporal associations between DNA methylation at 2 CpG sites and triglyceride levels, and 2 CpG sites and high-density lipoprotein-cholesterol (HDL-C) levels.
- Demonstrated partial mediation of the body mass index-HDL-C association by cg06500161 (ABCG1) methylation (10.1% mediation).
Conclusions:
- DNA methylation levels of ABCG1, AKAP1, and SREBF1 are implicated in lipid metabolism.
- Provides longitudinal evidence supporting the role of specific DNA methylation sites in lipid homeostasis regulation.
- Highlights potential epigenetic mechanisms linking metabolic factors to lipid profiles.
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