Differential DNA methylation in familial hypercholesterolemia

EBioMedicine. 2020 Nov:61:103079. doi: 10.1016/j.ebiom.2020.103079. Epub 2020 Oct 21.

Abstract

Background: Familial hypercholesterolemia (FH) is a monogenic disorder characterized by elevated low-density lipoprotein cholesterol (LDL-C). A FH causing genetic variant in LDLR, APOB, or PCSK9 is not identified in 12-60% of clinical FH patients (FH mutation-negative patients). We aimed to assess whether altered DNA methylation might be associated with FH in this latter group.

Methods: In this study we included 78 FH mutation-negative patients and 58 FH mutation-positive patients with a pathogenic LDLR variant. All patients were male, not using lipid lowering therapies and had LDL-C levels >6 mmol/L and triglyceride levels <3.5 mmol/L. DNA methylation was measured with the Infinium Methylation EPIC 850 K beadchip assay. Multiple linear regression analyses were used to explore DNA methylation differences between the two groups in genes related to lipid metabolism. A gradient boosting machine learning model was applied to investigate accumulated genome-wide differences between the two groups.

Findings: Candidate gene analysis revealed one significantly hypomethylated CpG site in CPT1A (cg00574958) in FH mutation-negative patients, while no differences in methylation in other lipid genes were observed. The machine learning model did distinguish the two groups with a mean Area Under the Curve (AUC)±SD of 0.80±0.17 and provided two CpG sites (cg26426080 and cg11478607) in genes with a possible link to lipid metabolism (PRDM16 and GSTT1).

Interpretation: FH mutation-negative patients are characterized by accumulated genome wide DNA methylation differences, but not by major DNA methylation alterations in known lipid genes compared to FH mutation-positive patients.

Funding: ZonMW grant (VIDI no. 016.156.445).

Keywords: DNA methylation; Epigenetics; Familial hypercholesterolemia; LDLR.

MeSH terms

  • Adolescent
  • Adult
  • Biomarkers
  • Computational Biology / methods
  • CpG Islands
  • DNA Methylation*
  • Epigenesis, Genetic
  • Epigenomics / methods
  • Gene Expression Regulation
  • Genetic Predisposition to Disease*
  • Humans
  • Hyperlipoproteinemia Type II / diagnosis
  • Hyperlipoproteinemia Type II / etiology*
  • Hyperlipoproteinemia Type II / metabolism
  • Machine Learning
  • Middle Aged
  • Mutation
  • ROC Curve
  • Young Adult

Substances

  • Biomarkers