Metabolic fitness in relation to genetic variation and leukocyte DNA methylation

• Published in: Physiological genomics Vol. 51; no. 1; pp. 12 - 26
• Main Authors: Caspers, M, Blocquiaux, S, Charlier, R, Lefevre, J, De Bock, K, Thomis, M
• Format: Journal Article
• Language: English
• Published: United States American Physiological Society 01.01.2019
• Subjects: Adult; Aged; Aged, 80 and over; AP-2 protein; Belgium; Blood Glucose; Blood Pressure; Deoxyribonucleic acid; DNA; DNA methylation; DNA Methylation - genetics; Environmental factors; Epigenesis, Genetic; Epigenetics; Female; Follow-Up Studies; Genetic diversity; Genetic Predisposition to Disease; Genotype; Genotypes; Genotyping; Healthy Volunteers; Humans; Leukocytes - metabolism; Lipoproteins; Lipoproteins, HDL - blood; Male; Metabolic syndrome; Metabolic Syndrome - genetics; Metabolism; Middle Aged; Phenotype; Phenotypes; Polymorphism, Single Nucleotide - genetics; Promoter Regions, Genetic; Reproductive fitness; Triglycerides; Triglycerides - blood; Waist Circumference; Young Adult; Belgium; DNA methylation; genotypic variation; metabolic fitness
• ISSN: 1094-8341; 1531-2267
• DOI: 10.1152/physiolgenomics.00077.2018

Metabolic syndrome (MetS) is a highly prevalent condition causing increased risk of several life-threatening diseases. MetS has a pronounced hereditary basis but is also influenced by environmental factors, partly through epigenetic mechanisms. In this study, the five phenotypes underlying MetS were incorporated into a continuous score for metabolic fitness (MF), and associations with both genotypic variation and leukocyte DNA methylation were investigated. Baseline MF phenotypes (waist circumference, blood pressure, blood glucose, serum triglycerides, and high-density lipoproteins) of 710 healthy Flemish adults were measured. After a 10 yr period, follow-up measures were derived from 618 of these subjects. Genotyping was performed for 65 preselected MF-related genetic variants. Next, full genetic predisposition scores (GPSs) were calculated, combining genotype scores of multiple genetic variants. Additionally, stepwise GPSs were constructed, including only the most predictive genetic variants for the different MF phenotypes. For a subset of 68 middle-aged men, global and gene-specific DNA methylation was investigated, and a biological pathway analysis was performed. The full GPSs were predictive for some baseline MF phenotypes, but not for changes over time. Only a limited number of genetic variants were significantly predictive individually. On the contrary, global and gene-specific DNA methylation was associated with changes in the MF phenotypes rather than with the baseline measures, indicating that effects of DNA methylation on MF are somewhat delayed. Furthermore, several biological pathways were associated with the MF phenotypes through gene promoter methylation. For CETP, G6PC2, MC4R, and TFAP2B both a genetic and epigenetic relationship was found with MF.