Hypertrophic cardiomyopathy (HCM) and restrictive cardiomyopathy (RCM) have significant phenotypic overlap and a similar genetic background, both caused mainly by variants in sarcomeric genes. HCM is the most common cardiomyopathy, while RCM is a rare and often underdiagnosed heart condition, with a poor prognosis. This study focuses on a large family with four infants diagnosed with fatal RCM associated with biventricular hypertrophy.
View Article and Find Full Text PDFBackground: Non-invasive prenatal testing (NIPT) for fetal aneuploidies has rapidly been incorporated into clinical practice. Current NGS-based methods can reliably detect fetal aneuploidies non-invasively with fetal fraction of at least 4%. Inaccurate fetal fraction assessment can compromise the accuracy of the test as affected samples with low fetal fraction have an increased risk for misdiagnosis.
View Article and Find Full Text PDFDNA methylation is an epigenetic marker that has been shown to vary significantly across different tissues. Taking advantage of the methylation differences between placenta-derived cell-free DNA and maternal blood, several groups employed different approaches for the discovery of fetal-specific biomarkers. The aim of this study was to analyse whole-genome fetal and maternal methylomes in order to identify and confirm the presence of differentially methylated regions (DMRs).
View Article and Find Full Text PDFObjective: The goal of this study is to evaluate the amount of free fetal DNA (ffDNA), total DNA, and 'fetal fraction' found in maternal plasma and whether these influence the enrichment ratios of differentially methylated regions (DMRs) and the correct classification of trisomy 21 using the methylated DNA immunoprecipitation-quantitative polymerase chain reaction (MeDIP-qPCR)-based noninvasive prenatal diagnostic methodology applied in peripheral blood.
Methods: Absolute quantification of ffDNA using DYS14 and total DNA using β-globin was applied in 83 maternal plasma samples. The quantification values for all 83 samples were correlated with the enrichment ratios of all seven DMRs and D-values that were obtained from the diagnostic formula of MeDIP-qPCR method.
Objective: To reevaluate the efficiency of the 12 differentially methylated regions (DMRs) used in the methylated DNA immunoprecipitation (MeDIP) real-time quantitative polymerase chain reaction (real-time qPCR) based approach, develop an improved version of the diagnostic formula and perform a larger validation study.
Methods: Twelve selected DMRs were checked for copy number variants in the Database of Genomic Variants. The DMRs located within copy number variants were excluded from the analysis.