DNA Methylation in the Fields of Prenatal Diagnosis and Early Detection of Cancers.

The central objective of the metamorphosis of discovery science into biomedical applications is to serve the purpose of patients and curtail the global disease burden. The journey from the discovery of DNA methylation (DNAm) as a biological process to its emergence as a diagnostic tool is one of the finest examples of such metamorphosis and has taken nearly a century. Particularly in the last decade, the application of DNA methylation studies in the clinic has been standardized more than ever before, with great potential to diagnose a multitude of diseases that are associated with a burgeoning number of genes with this epigenetic alteration. Fetal DNAm detection is becoming useful for noninvasive prenatal testing, whereas, in very preterm infants, DNAm is also shown to be a potential biological indicator of prenatal risk factors. In the context of cancer, liquid biopsy-based DNA-methylation profiling is offering valuable epigenetic biomarkers for noninvasive early-stage diagnosis. In this review, we focus on the applications of DNA methylation in prenatal diagnosis for delivering timely therapy before or after birth and in detecting early-stage cancers for better clinical outcomes. Furthermore, we also provide an up-to-date commercial landscape of DNAm biomarkers for cancer detection and screening of cancers of unknown origin.

Genome-wide DNA methylation profiling and exome sequencing resolved a long-time misdiagnosed case.

The search for aetiology of Mendelian disorders is traditionally based on the observation of clinical phenotypes and molecular screening of associated genes. However, a disease-specific diagnosis can be challenging. In this study we detail how the combinatorial genomic and epigenomic assessment allowed to find the underlying molecular event of a clinical case that remained misdiagnosed for years. The individual was referred as affected by an atypical form of Kabuki syndrome with a variant of uncertain significance in the KMT2D gene. However, significant inconsistencies with this diagnosis emerged upon familial segregation of the variant and after the clinical re-evaluation. Therefore, we applied an epigenomic strategy by studying the DNA methylation profile which resulted not consistent with the Kabuki syndrome episignature or with any other disorder-specific episignature described so far, providing strong evidence that the Kabuki syndrome diagnosis does not apply. This result led us to further investigate for epigenetic machinery diseases by using a multigene panel for chromatinopathies. Since this analysis yielded negative results, we applied a whole exome sequencing and identified a de novo pathogenic variant in the CTNNB1 gene associated to NEDSDV syndrome, a neurodevelopmental disorder characterized by intellectual disability and craniofacial anomalies. Based on molecular results and the updated clinical features, we confirmed the NEDSDV diagnosis. Our findings show that the combination of genomic and epigenomics strategies, along with a deeper analysis of clinical phenotype, may provide a significant improvement in the diagnostic protocols for rare genetic disorders and help resolve long-time misdiagnosed and unsolved case.

Identification of a DNA Methylation Episignature in the 22q11.2 Deletion Syndrome.

The 22q11.2 deletion syndrome (22q11.2DS) is the most common genomic disorder in humans and is the result of a recurrent 1.5 to 2.5 Mb deletion, encompassing approximately 20-40 genes, respectively. The clinical presentation of the typical deletion includes: Velocardiofacial, Di George, Opitz G/BBB and Conotruncalanomaly face syndromes. Atypical deletions (proximal, distal or nested) are rare and characterized mainly by normal phenotype or mild intellectual disability and variable clinical features. The pathogenetic mechanisms underlying this disorder are not completely understood. Because the 22q11.2 region harbours genes coding for transcriptional factors and chromatin remodelers, in this study, we performed analysis of genome-wide DNA methylation of peripheral blood from 49 patients with 22q11.2DS using the Illumina Infinium Methylation EPIC bead chip arrays. This cohort comprises 43 typical, 2 proximal and 4 distal deletions. We demonstrated the evidence of a unique and highly specific episignature in all typical and proximal 22q11.2DS. The sensitivity and specificity of this signature was further confirmed by comparing it to over 1500 patients with other neurodevelopmental disorders with known episignatures. Mapping the 22q11.2DS DNA methylation episignature provides both novel insights into the molecular pathogenesis of this disorder and an effective tool in the molecular diagnosis of 22q11.2DS.