scholarly journals DNA Methylation in the Diagnosis of Monogenic Diseases

Genes ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 355 ◽  
Author(s):  
Flavia Cerrato ◽  
Angela Sparago ◽  
Francesca Ariani ◽  
Fulvia Brugnoletti ◽  
Luciano Calzari ◽  
...  

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 ◽  
Vol 135 (1) ◽  
pp. 167-173 ◽  
Author(s):  
Barbara Elisabeth Koop ◽  
Felix Mayer ◽  
Tanju Gündüz ◽  
Jacqueline Blum ◽  
Julia Becker ◽  
...  

AbstractAge estimation based on the analysis of DNA methylation patterns has become a focus of forensic research within the past few years. However, there is little data available regarding postmortem DNA methylation analysis yet, and literature mainly encompasses analysis of blood from corpses without any signs of decomposition. It is not entirely clear yet which other types of specimen are suitable for postmortem epigenetic age estimation, and if advanced decomposition may affect methylation patterns of CpG sites. In living persons, buccal swabs are an easily accessible source of DNA for epigenetic age estimation. In this work, the applicability of this approach (buccal swabs as source of DNA) under different postmortem conditions was tested. Methylation levels of PDE4C were investigated in buccal swab samples collected from 73 corpses (0–90 years old; mean: 51.2) in different stages of decomposition. Moreover, buccal swab samples from 142 living individuals (0–89 years old; mean 41.2) were analysed. As expected, methylation levels exhibited a high correlation with age in living individuals (training set: r2 = 0.87, validation set: r2 = 0.85). This was also the case in postmortem samples (r2 = 0.90), independent of the state of decomposition. Only in advanced putrified cases with extremely low DNA amounts, epigenetic age estimation was not possible. In conclusion, buccal swabs are a suitable and easy to collect source for DNA methylation analysis as long as sufficient amounts of DNA are present.


Author(s):  
Anna Hecht ◽  
Julia A. Meyer ◽  
Johann-Christoph Jann ◽  
Katja Sockel ◽  
Aristoteles Giagounidis ◽  
...  

AbstractMyelodysplastic syndrome (MDS) with isolated deletion of chromosome 5q (MDS del5q) is a distinct subtype of MDS with quite favorable prognosis and excellent response to treatment with lenalidomide. Still, a relevant percentage of patients do not respond to lenalidomide and even experience progression to acute myeloid leukemia (AML). In this study, we aimed to investigate whether global DNA methylation patterns could predict response to lenalidomide. Genome-wide DNA methylation analysis using Illumina 450k methylation arrays was performed on n=51 patients with MDS del5q who were uniformly treated with lenalidomide in a prospective multicenter trial of the German MDS study group. To study potential direct effects of lenalidomide on DNA methylation, 17 paired samples pre- and post-treatment were analyzed. Our results revealed no relevant effect of lenalidomide on methylation status. Furthermore, methylation patterns prior to therapy could not predict lenalidomide response. However, methylation clustering identified a group of patients with a trend towards inferior overall survival. These patients showed hypermethylation of several interesting target genes, including genes of relevant signaling pathways, potentially indicating the evaluation of novel therapeutic targets.


Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 761-761
Author(s):  
Mathias Ehrich ◽  
Lars Bullinger ◽  
Mattew R. Nelson ◽  
Konstanze Döhner ◽  
Hartmut Döhner ◽  
...  

Abstract Acute myeloid leukemia is classified by the presence or absence of recurrent cytogenetic aberrations. In order to improve diagnosis and therapy, more recently new studies have been performed to supplement the current classification with refined molecular information based on gene expression profiling. However, it has been established that expression levels of genes are often largely controlled by the state of cytosine methylation in the adjacent promoter region. Thus we were interested to evaluate the quantitative methylation levels for a previously identified predictive set of genes (Bullinger et al. 2004) using a novel technology based on a unique combination of base specific cleavage of single stranded nucleic acids with MALDI TOF detection. We have employed this new quantitative high throughput DNA methylation analysis technology to analyze 147 promoter regions in a total of 192 individuals. The resulting quantitative methylation data was analyzed using a semi-supervised approach to evaluate the quantitative methylation data as a predictor for patient survival. We used a first set of 96 individuals to train a statistical learning algorithm and a second set of 96 samples to validate the trained algorithm. The analysis revealed quantitative methylation patterns as a reliable predictor for survival (p < 0.001). Subsequently, we combined the methylation based predictive model with the results from the expression based predictor. The combination of both models yielded a superior predictive model for patient survival, which outperformed all clinical and cytogenetic risk stratification in the given sample set. The results of this work revealed a potential significance of DNA methylation in the pathophysiology of AML and suggest that DNA-methylation patterns might be useful molecular markers for patient survival prediction based on the fact that large-scale DNA methylation studies can now be performed with reasonable efforts in a limited amount of time. Therefore, these results lay the groundwork for future research which might ultimately enable individualized therapy based on improved molecular characterization of AML.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 600-600
Author(s):  
Hyang-Min Byun ◽  
Timothy Triche ◽  
Hyeoung-Joon Kim ◽  
Hee Nam Kim ◽  
Yeo-Kyeoung Kim ◽  
...  

Abstract Abstract 600 Background: Azacitidine is hypothesized to exert its therapeutic effect in patients with myelodysplastic syndrome (MDS) through inhibition of DNA methylation. However to date no genomic DNA methylation pattern has been shown to predict response to azacitidine in patients with MDS, and no aberrantly silenced gene or group of genes has been shown to be reactivated by azacitidine that can be clearly linked to the beneficial clinical effect. We sought to identify the gene or group of aberrantly hypermethylated genes that are responsible for the therapeutic effect of azacitidine by retrospectively analyzing genome-wide DNA methylation profiles from bone marrow samples of a cohort of 113 patients with MDS treated with the DNA methylation inhibitor, azacitidine. Methods: Bone marrow aspirates were collected at time of diagnosis prior to treatment, after 4 cycles of azacitidine therapy and 8 cycles of therapy. DNA was isolated and bisulfite treated with the EZ-96 DNA Methylation-Gold Kit. DNA methylation analysis was performed on 27,578 CpG sites representing 14,475 genes (almost ¾ of known genes) using the Infinium Bead Array system for samples at the time of diagnosis, 4 and 8 cycles of therapy. Only 19,662 CpG sites were used for further analysis due to exclusion of CpG sites that were on the × chromosome, sites suspected of containing single nucleotide polymorphisms (SNP), and sites within DNA repeats. In total 91 samples were analyzed from 43 patients with MDS, which were selected to represent different disease classifications and responses to therapy, and bone marrow aspirates from 10 healthy control subjects without MDS. Results: Two-way hierarchical cluster analysis showed clear clustering of bone marrow samples taken from subjects without MDS. DNA methylation patterns from healthy controls clustered together, and pre and post azacitidine treatment samples from the same subject clustered together as well. Samples did not cluster by DNA methylation patterns for WHO classification, International Prognostic Scoring System (IPSS), cytogenetic abnormalities, or response to azacitidine. Supervised cluster analysis is ongoing. Global decreases in DNA methylation as measured by the average methylation for all 19,662 loci assayed did decrease with treatment and there was a trend for a larger decrease in DNA methylation in those patients who responded to azacitidine. Conclusion: In this pilot study of genome-wide DNA methylation analysis of MDS patients treated with azacitidine we find global decreases of DNA methylation. We were unable to identify a DNA methylation pattern or group of hypermethylated genes that would predict response to azacitidine. MDS samples did not cluster by WHO classification, IPSS or response to azacitidine. Larger translational studies are needed, but the possibility that DNA methylation decreases in patients treated with azacitidine serve as a pharmacological marker rather than a therapeutic target should also be considered Disclosures: Laird: Celgene: Consultancy. Yang:Celgene: Honoraria, Research Funding, Speakers Bureau.


2021 ◽  
Author(s):  
Christian Koelsche ◽  
Jamal K. Benhamida ◽  
Felix K. F. Kommoss ◽  
Damian Stichel ◽  
David T. W. Jones ◽  
...  

AbstractUndifferentiated mesenchymal tumors arising from the inner lining (intima) of large arteries are classified as intimal sarcomas (ISA) with MDM2 amplification as their molecular hallmark. Interestingly, undifferentiated pleomorphic sarcomas (UPS) of the heart have recently been suggested to represent the cardiac analog of ISA due to morphological overlap and high prevalence of MDM2 amplifications in both neoplasms. However, little is known about ISAs and cardiac UPS without MDM2 amplifications and molecular data supporting their common classification is sparse. Here, we report a series of 35 cases comprising 25 ISAs of the pulmonary artery, one ISA of the renal artery and 9 UPS of the left atrium. Tumors were analyzed utilizing the Illumina Infinium MethylationEPIC BeadChip array, enabling copy number profile generation and unsupervised DNA methylation analysis. DNA methylation patterns were investigated using t-distributed stochastic neighbor embedding (t-SNE) analysis. Histologically, all ISAs and UPS of the left atrium resembled extra-cardiac UPS. All cases exhibited highly complex karyotypes with overlapping patterns between ISA and UPS. 29/35 cases showed mutually exclusive amplifications in the cell-cycle associated oncogenes MDM2 (25/35), MDM4 (2/35), and CDK6 (2/35). We further observed recurrent co-amplifications in PDGFRA (21/35), CDK4 (15/35), TERT (11/35), HDAC9 (9/35), and CCND1 (4/35). Sporadic co-amplifications occurred in MYC, MYCN, and MET (each 1/35). The tumor suppressor CDKN2A/B was frequently deleted (10/35). Interestingly, DNA methylation profiling (t-SNE) revealed an overlap of ISA and cardiac UPS. This “ISA” methylation signature was distinct from potential histologic and molecular mimics. In conclusion, our data reveal MDM4 and CDK6 amplifications in ISAs and UPS of the left atrium, lacking MDM2 amplification. We further report novel co-amplifications of various oncogenes, which may have therapeutic implications. Finally, the genetic and epigenetic concordance of ISAs and UPS of the left atrium further supports a shared pathogenesis and common classification.


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