Analysis of genomic DNA methylation by generating epigenetic signature profiles (episignatures) is increasingly being implemented in genetic diagnosis. Here we report our experience using episignature analysis to resolve both uncomplicated and complex cases of neurodevelopmental disorders (NDDs). We analyzed 97 NDDs divided into (1) a validation cohort of 59 patients with likely pathogenic/pathogenic variants characterized by a known episignature and (2) a test cohort of 38 patients harboring variants of unknown significance or unidentified variants. The expected episignature was obtained in most cases with likely pathogenic/pathogenic variants (53/59 [90%]), a revealing exception being the overlapping profile of two SMARCB1 pathogenic variants with ARID1A/B:c.6200, confirmed by the overlapping clinical features. In the test cohort, five cases showed the expected episignature, including (1) novel pathogenic variants in ARID1B and BRWD3; (2) a deletion in ATRX causing MRXFH1 X-linked mental retardation; and (3) confirmed the clinical diagnosis of Cornelia de Lange (CdL) syndrome in mutation-negative CdL patients. Episignatures analysis of the in BAF complex components revealed novel functional protein interactions and common episignatures affecting homologous residues in highly conserved paralogous proteins (SMARCA2 M856V and SMARCA4 M866V). Finally, we also found sex-dependent episignatures in X-linked disorders. Implementation of episignature profiling is still in its early days, but with increasing utilization comes increasing awareness of the capacity of this methodology to help resolve the complex challenges of genetic diagnoses.

DNA methylation analysis in patients with neurodevelopmental disorders improves variant interpretation and reveals complexity

Trajkova, Slavica
First
;
Rossi Sebastiano, Matteo;Pavinato, Lisa;Ferrero, Enza;Giovenino, Chiara;Carli, Diana;Di Gregorio, Eleonora;Marinoni, Roberta;Mandrile, Giorgia;Palermo, Flavia;Carestiato, Silvia;Cardaropoli, Simona;Pullano, Verdiana;Giorgio, Elisa;Pasini, Barbara;Mussa, Alessandro;Ferrero, Giovanni Battista;Brusco, Alfredo
Last
2024-01-01

Abstract

Analysis of genomic DNA methylation by generating epigenetic signature profiles (episignatures) is increasingly being implemented in genetic diagnosis. Here we report our experience using episignature analysis to resolve both uncomplicated and complex cases of neurodevelopmental disorders (NDDs). We analyzed 97 NDDs divided into (1) a validation cohort of 59 patients with likely pathogenic/pathogenic variants characterized by a known episignature and (2) a test cohort of 38 patients harboring variants of unknown significance or unidentified variants. The expected episignature was obtained in most cases with likely pathogenic/pathogenic variants (53/59 [90%]), a revealing exception being the overlapping profile of two SMARCB1 pathogenic variants with ARID1A/B:c.6200, confirmed by the overlapping clinical features. In the test cohort, five cases showed the expected episignature, including (1) novel pathogenic variants in ARID1B and BRWD3; (2) a deletion in ATRX causing MRXFH1 X-linked mental retardation; and (3) confirmed the clinical diagnosis of Cornelia de Lange (CdL) syndrome in mutation-negative CdL patients. Episignatures analysis of the in BAF complex components revealed novel functional protein interactions and common episignatures affecting homologous residues in highly conserved paralogous proteins (SMARCA2 M856V and SMARCA4 M866V). Finally, we also found sex-dependent episignatures in X-linked disorders. Implementation of episignature profiling is still in its early days, but with increasing utilization comes increasing awareness of the capacity of this methodology to help resolve the complex challenges of genetic diagnoses.
2024
5
100309
1
22
https://www.cell.com/hgg-advances/fulltext/S2666-2477(24)00048-4?_returnURL=https://linkinghub.elsevier.com/retrieve/pii/S2666247724000484?showall=true
ARID1A; ARID1B; BAFopathy; Coffin-Siris syndrome; DNA methylation; SMARCA2; SMARCA4; SMARCB1; episignatures; neurodevelopmental disorders
Trajkova, Slavica; Kerkhof, Jennifer; Rossi Sebastiano, Matteo; Pavinato, Lisa; Ferrero, Enza; Giovenino, Chiara; Carli, Diana; Di Gregorio, Eleonora;...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1986410
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