Exploring genome-wide DNA methylation patterns in Aicardi syndrome

Epigenomics. 2017 Nov;9(11):1373-1386. doi: 10.2217/epi-2017-0060. Epub 2017 Oct 2.

Abstract

Aim: To explore differential DNA methylation (DNAm) in Aicardi syndrome (AIC), a severe neurodevelopmental disorder with largely unknown etiology.

Patients & methods: We characterized DNAm in AIC female patients and parents using the Illumina 450 K array. Differential DNAm was assessed using the local outlier factor algorithm, and results were validated via qPCR in a larger set of AIC female patients, parents and unrelated young female controls. Functional epigenetic modules analysis was used to detect pathways integrating both genome-wide DNAm and RNA-seq data.

Results & conclusion: We detected differential methylation patterns in AIC patients in several neurodevelopmental and/or neuroimmunological networks. These networks may be part of the underlying pathogenic mechanisms involved in the disease.

Keywords: Aicardi syndrome; DNA methylation; KCNAB3.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aicardi Syndrome / genetics*
  • Algorithms
  • DNA Methylation*
  • Epigenesis, Genetic*
  • Female
  • Gene Regulatory Networks
  • Humans
  • Infant
  • Infant, Newborn
  • Male
  • Molecular Diagnostic Techniques / methods
  • Pedigree
  • Whole Genome Sequencing / methods