DNA methylation in the human genome is largely programmed and shaped by transcription factor binding and interaction between DNA methyltransferases and histone marks during gamete and embryo development. Normal methylation profiles can be modified at single or multiple loci, more frequently as consequences of genetic variants acting in cis or in trans, or in some cases stochastically or through interaction with environmental factors. For many developmental disorders, specific methylation patterns or signatures can be detected in blood DNA. The recent use of high-throughput assays investigating the whole genome has largely increased the number of diseases for which DNA methylation analysis provides information for their diagnosis. Here, we review the methylation abnormalities that have been associated with mono/oligogenic diseases, their relationship with genotype and phenotype and relevance for diagnosis, as well as the limitations in their use and interpretation of results.

DNA methylation in the diagnosis of monogenic diseases

Coppede F.;
2020-01-01

Abstract

DNA methylation in the human genome is largely programmed and shaped by transcription factor binding and interaction between DNA methyltransferases and histone marks during gamete and embryo development. Normal methylation profiles can be modified at single or multiple loci, more frequently as consequences of genetic variants acting in cis or in trans, or in some cases stochastically or through interaction with environmental factors. For many developmental disorders, specific methylation patterns or signatures can be detected in blood DNA. The recent use of high-throughput assays investigating the whole genome has largely increased the number of diseases for which DNA methylation analysis provides information for their diagnosis. Here, we review the methylation abnormalities that have been associated with mono/oligogenic diseases, their relationship with genotype and phenotype and relevance for diagnosis, as well as the limitations in their use and interpretation of results.
2020
Cerrato, F.; Sparago, A.; Ariani, F.; Brugnoletti, F.; Calzari, L.; Coppede, F.; De Luca, A.; Gervasini, C.; Giardina, E.; Gurrieri, F.; Nigro, C. L.; Merla, G.; Miozzo, M.; Russo, S.; Sangiorgi, E.; Sirchia, S. M.; Squeo, G. M.; Tabano, S.; Tabolacci, E.; Torrente, I.; Genuardi, M.; Neri, G.; Riccio, A.
File in questo prodotto:
File Dimensione Formato  
Cerrato et al. Genes 2020.pdf

accesso aperto

Descrizione: Articolo principale
Tipologia: Versione finale editoriale
Licenza: Creative commons
Dimensione 440.98 kB
Formato Adobe PDF
440.98 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1041052
Citazioni
  • ???jsp.display-item.citation.pmc??? 11
  • Scopus 24
  • ???jsp.display-item.citation.isi??? 22
social impact