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Diagnostic utility of DNA methylation analysis in genetically unsolved pediatric epilepsies and CHD2 episignature refinement

Authors :
Christy W. LaFlamme
Cassandra Rastin
Soham Sengupta
Helen E. Pennington
Sophie J. Russ-Hall
Amy L. Schneider
Emily S. Bonkowski
Edith P. Almanza Fuerte
Talia J. Allan
Miranda Perez-Galey Zalusky
Joy Goffena
Sophia B. Gibson
Denis M. Nyaga
Nico Lieffering
Malavika Hebbar
Emily V. Walker
Daniel Darnell
Scott R. Olsen
Pandurang Kolekar
Mohamed Nadhir Djekidel
Wojciech Rosikiewicz
Haley McConkey
Jennifer Kerkhof
Michael A. Levy
Raissa Relator
Dorit Lev
Tally Lerman-Sagie
Kristen L. Park
Marielle Alders
Gerarda Cappuccio
Nicolas Chatron
Leigh Demain
David Genevieve
Gaetan Lesca
Tony Roscioli
Damien Sanlaville
Matthew L. Tedder
Sachin Gupta
Elizabeth A. Jones
Monika Weisz-Hubshman
Shamika Ketkar
Hongzheng Dai
Kim C. Worley
Jill A. Rosenfeld
Hsiao-Tuan Chao
Undiagnosed Diseases Network
Geoffrey Neale
Gemma L. Carvill
University of Washington Center for Rare Disease Research
Zhaoming Wang
Samuel F. Berkovic
Lynette G. Sadleir
Danny E. Miller
Ingrid E. Scheffer
Bekim Sadikovic
Heather C. Mefford
Source :
Nature Communications, Vol 15, Iss 1, Pp 1-21 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract Sequence-based genetic testing identifies causative variants in ~ 50% of individuals with developmental and epileptic encephalopathies (DEEs). Aberrant changes in DNA methylation are implicated in various neurodevelopmental disorders but remain unstudied in DEEs. We interrogate the diagnostic utility of genome-wide DNA methylation array analysis on peripheral blood samples from 582 individuals with genetically unsolved DEEs. We identify rare differentially methylated regions (DMRs) and explanatory episignatures to uncover causative and candidate genetic etiologies in 12 individuals. Using long-read sequencing, we identify DNA variants underlying rare DMRs, including one balanced translocation, three CG-rich repeat expansions, and four copy number variants. We also identify pathogenic variants associated with episignatures. Finally, we refine the CHD2 episignature using an 850 K methylation array and bisulfite sequencing to investigate potential insights into CHD2 pathophysiology. Our study demonstrates the diagnostic yield of genome-wide DNA methylation analysis to identify causal and candidate variants as 2% (12/582) for unsolved DEE cases.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.56ab879163324f04934308a670c8a49d
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-024-50159-6