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Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
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Deep molecular phenotypes link complex disorders and physiological insult to CpG methylation.
Shaza B Zaghlool1,2, Dennis O Mook-Kanamori3, Sara Kader1
1Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, PO Box 24144, Doha, Qatar.
Human Molecular Genetics
|January 12, 2018
Summary
Epigenetic regulation via CpG methylation links lifestyle and environment to metabolic health. This study reveals multi-omics associations and causal links between metabolites and methylation sites, offering insights into disease adaptation.
Area of Science:
- Genetics and Epigenetics
- Metabolomics and Systems Biology
- Environmental Health and Adaptation
Background:
- Epigenetic regulation, particularly DNA methylation at CpG sites, is crucial for organismal adaptation to environmental and lifestyle changes.
- Previous epigenome-wide association studies (EWAS) identified 20 CpG sites linked to both metabolic phenotypes and diabetes, obesity, and smoking.
- Understanding the molecular pathways connecting CpG methylation to these endpoints is essential for elucidating adaptive responses.
Purpose of the Study:
- To investigate the molecular pathways linking specific CpG methylation sites to metabolic diseases and lifestyle factors.
- To identify multi-omics associations (metabolites, proteins, glycans) with previously identified CpG sites.
- To explore potential causal relationships between metabolites and CpG methylation using Mendelian randomization.
Main Methods:
- Conducted a multi-omics association study on 359 samples from the Qatar Metabolomics Study on Diabetes (QMDiab).
- Integrated data from mass-spectrometry (metabolites), NMR (lipids/metabolites), aptamer technology (proteins), and glycan analysis (N-glycans, IgG-glycans).
- Employed Mendelian randomization to infer causal effects of metabolites on CpG methylation.
Main Results:
- Reported 138 multi-omics associations at the 20 identified CpG sites.
- Found diabetes biomarkers at the TXNIP locus and smoking-specific metabolites/proteins at the AHRR locus.
- Mendelian randomization suggested causal effects of specific metabolites (e.g., glycerophospholipid, glycine, VLDL-A) on methylation of obesity-associated CpG sites (e.g., DHCR24, MYO5C, CPT1A).
Conclusions:
- Multi-omics-associated CpG methylation provides functional insights into regulatory responses to disease and environmental stress.
- CpG methylation acts as a readout for the body's adaptation mechanisms.
- The findings highlight the interplay between epigenetics, metabolism, and lifestyle factors in health and disease.
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