Publications by authors named "D Czamara"
DNA methylation in peripheral tissues may be a relevant biomarker of risk for developing mental disorders after exposure to early life adversity. Genes involved in HPA axis regulation, such as , might play a key role. In this study, we aimed to identify the main drivers of salivary methylation in a cohort of 162 maltreated and non-maltreated children aged 3-5 years at two measurement timepoints.
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- - Aging significantly impacts the brain, increasing the risk for neurodegenerative disorders, especially in individuals with psychiatric conditions.
- - A study analyzed transcriptomic changes in the orbitofrontal cortex from nearly 800,000 brain cell nuclei of 87 people, revealing that aging affects all brain cell types, particularly certain interneurons.
- - Findings indicate that the transcriptomic aging process is accelerated in those with psychiatric disorders, highlighting shared biological pathways between aging and mental health issues.
Article Synopsis
- * A genome-wide association meta-analysis of nearly 122,000 ANX cases revealed 58 significant genetic variants and 66 related genes, with many of these findings replicated in a larger independent sample.
- * The findings indicate a substantial genetic overlap between ANX and other conditions like depression, emphasizing GABAergic signaling as a key mechanism, thereby enhancing our understanding of the genetic basis of ANX for future research.
Article Synopsis
- The study investigates the connections between genetic predispositions for autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), and schizophrenia (SCZ) and their related DNA methylation patterns present at birth.
- It analyzes cord blood DNA from over 5,800 individuals, revealing that SCZ shows significant associations with specific DNA loci, while ASD and ADHD have fewer identifiable connections.
- The research suggests that integrating these DNA methylation patterns into models could help improve predictions for various neurodevelopmental outcomes in children from birth to 14 years.
Article Synopsis
- The Illumina MethylationEPIC BeadChip microarray platform has two versions (v1.0 and v2.0), which show high correlation overall but varying results at the probe level for tools assessing DNA methylation effects.
- Research using blood samples from different adult age groups found that samples clustered more by the EPIC version used than by other characteristics, indicating significant differences in data outputs between the two versions.
- The study emphasizes the need to consider which EPIC version is used when analyzing data for meta-analyses and longitudinal studies, as these differences can impact findings in epigenome-wide association studies (EWAS).