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Identification of DNA methylation episignature for the intellectual developmental disorder, autosomal dominant 21 syndrome, caused by variants in the CTCF gene

  • Karim Karimi
  • , Merel O. Mol
  • , Sadegheh Haghshenas
  • , Raissa Relator
  • , Michael A. Levy
  • , Jennifer Kerkhof
  • , Haley McConkey
  • , Alice Brooks
  • , Evelien Zonneveld-Huijssoon
  • , Erica H. Gerkes
  • , Matthew L. Tedder
  • , Lisenka Vissers
  • , Emanuela Salzano
  • , Maria Piccione
  • , Sebastian Dorin Asaftei
  • , Diana Carli
  • , Alessandro Mussa
  • , Elena Shukarova-Angelovska
  • , Slavica Trajkova
  • , Alfredo Brusco
  • Giuseppe Merla, Marielle M. Alders, Arjan Bouman*, Bekim Sadikovic*
*Corresponding author for this work
  • Western University
  • University Medical Centre Groningen
  • Greenwood Genetics Center
  • Radboud University Medical Center
  • AOOR Villa Sofia-Cervello
  • University of Palermo
  • Azienda Ospedaliera - Universitaria Città della Salute e della Scienza di Torino
  • University of Turin
  • SS Cyril and Methodius University in Skopje
  • Complex Unit of Geriatrics
  • University of Naples Federico II
  • University of Amsterdam

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)
37 Downloads (Pure)

Abstract

Purpose: The main objective of this study was to assess clinical features and genome-wide DNA methylation profiles in individuals affected by intellectual developmental disorder, autosomal dominant 21 (IDD21) syndrome, caused by variants in the CCCTC-binding factor (CTCF) gene. Methods: DNA samples were extracted from peripheral blood of 16 individuals with clinical features and genetic findings consistent with IDD21. DNA methylation analysis was performed using the Illumina Infinium Methylation EPIC Bead Chip microarrays. The methylation levels were fitted in a multivariate linear regression model to identify the differentially methylated probes. A binary support vector machine classification model was constructed to differentiate IDD21 samples from controls. Results: We identified a highly specific, reproducible, and sensitive episignature associated with CTCF variants. Six variants of uncertain significance were tested, of which 2 mapped to the IDD21 episignature and clustered alongside IDD21 cases in both heatmap and multidimensional scaling plots. Comparison of the genomic DNA methylation profile of IDD21 with that of 56 other neurodevelopmental disorders provided insights into the underlying molecular pathophysiology of this disorder. Conclusion: The robust and specific CTCF/IDD21 episignature expands the growing list of neurodevelopmental disorders with distinct DNA methylation profiles, which can be applied as supporting evidence in variant classification.

Original languageEnglish
Article number101041
JournalGenetics in Medicine
Volume26
Issue number3
DOIs
Publication statusPublished - Mar 2024

Bibliographical note

Publisher Copyright:
© 2023 American College of Medical Genetics and Genomics

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