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Identification of the DNA methylation signature of Mowat-Wilson syndrome

  • Stefano Giuseppe Caraffi
  • , Liselot van der Laan
  • , Kathleen Rooney
  • , Slavica Trajkova
  • , Roberta Zuntini
  • , Raissa Relator
  • , Sadegheh Haghshenas
  • , Michael A. Levy
  • , Chiara Baldo
  • , Giorgia Mandrile
  • , Carolyn Lauzon
  • , Duccio Maria Cordelli
  • , Ivan Ivanovski
  • , Anna Fetta
  • , Elena Sukarova
  • , Alfredo Brusco
  • , Lisa Pavinato
  • , Verdiana Pullano
  • , Marcella Zollino
  • , Haley McConkey
  • Marco Tartaglia, Giovanni Battista Ferrero, Bekim Sadikovic*, Livia Garavelli*
*Corresponding author for this work
  • Epidemiology Unit, 42122, Italy
  • Amsterdam Reproduction and Development
  • Western University
  • University of Turin
  • IRCCS Istituto Giannina Gaslini - Genova
  • Azienda Ospedaliera S. Luigi Gonzaga
  • IRCCS Istituto delle Scienze Neurologiche di Bologna
  • University of Bologna
  • Universität Zürich
  • SS Cyril and Methodius University in Skopje
  • CPO Piedmont-AOU Citta della Salute e della Scienza, 10131 Turin, Italy
  • Catholic University of the Sacred Heart
  • IRCCS Ospedale pediatrico Bambino Gesù - Roma

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Mowat-Wilson syndrome (MOWS) is a rare congenital disease caused by haploinsufficiency of ZEB2, encoding a transcription factor required for neurodevelopment. MOWS is characterized by intellectual disability, epilepsy, typical facial phenotype and other anomalies, such as short stature, Hirschsprung disease, brain and heart defects. Despite some recognizable features, MOWS rarity and phenotypic variability may complicate its diagnosis, particularly in the neonatal period. In order to define a novel diagnostic biomarker for MOWS, we determined the genome-wide DNA methylation profile of DNA samples from 29 individuals with confirmed clinical and molecular diagnosis. Through multidimensional scaling and hierarchical clustering analysis, we identified and validated a DNA methylation signature involving 296 differentially methylated probes as part of the broader MOWS DNA methylation profile. The prevalence of hypomethylated CpG sites agrees with the main role of ZEB2 as a transcriptional repressor, while differential methylation within the ZEB2 locus supports the previously proposed autoregulation ability. Correlation studies compared the MOWS cohort with 56 previously described DNA methylation profiles of other neurodevelopmental disorders, further validating the specificity of this biomarker. In conclusion, MOWS DNA methylation signature is highly sensitive and reproducible, providing a useful tool to facilitate diagnosis.
Original languageEnglish
Pages (from-to)619-629
Number of pages11
JournalEuropean journal of human genetics
Volume32
Issue number6
Early online date2024
DOIs
Publication statusPublished - Jun 2024

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