Expression Quantitative Trait Methylation Analysis Identifies Whole Blood Molecular Footprint in Fetal Alcohol Spectrum Disorder (FASD).

Fetal alcohol spectrum disorder (FASD) encompasses neurodevelopmental disabilities and physical birth defects associated with prenatal alcohol exposure. Previously, we attempted to identify epigenetic biomarkers for FASD by investigating the genome-wide DNA methylation (DNAm) profiles of individuals with FASD compared to healthy controls. In this study, we generated additional gene expression profiles in a subset of our previous FASD cohort, encompassing the most severely affected individuals, to examine the functional integrative effects of altered DNAm status on gene expression. We identified six differentially methylated regions (annotated to the SEC61G, REEP3, ZNF577, HNRNPF, MSC, and SDHAF1 genes) associated with changes in gene expression (p-value < 0.05). To the best of our knowledge, this study is the first to assess whole blood gene expression and DNAm-gene expression associations in FASD. Our results present novel insights into the molecular footprint of FASD in whole blood and opens opportunities for future research into multi-omics biomarkers for the diagnosis of FASD.

Multi-locus imprinting disturbance (MLID): interim joint statement for clinical and molecular diagnosis.

BACKGROUND: Imprinting disorders are rare diseases resulting from altered expression of imprinted genes, which exhibit parent-of-origin-specific expression patterns regulated through differential DNA methylation. A subgroup of patients with imprinting disorders have DNA methylation changes at multiple imprinted loci, a condition referred to as multi-locus imprinting disturbance (MLID). MLID is recognised in most but not all imprinting disorders and is also found in individuals with atypical clinical features; the presence of MLID often alters the management or prognosis of the affected person. Some cases of MLID are caused by trans-acting genetic variants, frequently not in the patients but their mothers, which have counselling implications. There is currently no consensus on the definition of MLID, clinical indications prompting testing, molecular procedures and methods for epigenetic and genetic diagnosis, recommendations for laboratory reporting, considerations for counselling, and implications for prognosis and management. The purpose of this study is thus to cover this unmet need. METHODS: A comprehensive literature search was conducted resulting in identification of more than 100 articles which formed the basis of discussions by two working groups focusing on clinical diagnosis (n = 12 members) and molecular testing (n = 19 members). Following eight months of preparations and regular online discussions, the experts from 11 countries compiled the preliminary documentation and determined the questions to be addressed during a face-to-face meeting which was held with the attendance of the experts together with four representatives of patient advocacy organisations. RESULTS: In light of available evidence and expert consensus, we formulated 16 propositions and 8 recommendations as interim guidance for the clinical and molecular diagnosis of MLID. CONCLUSIONS: MLID is a molecular designation, and for patients with MLID and atypical phenotypes, we propose the alternative term multi-locus imprinting syndrome. Due to the intrinsic variability of MLID, the guidelines underscore the importance of involving experts from various fields to ensure a confident approach to diagnosis, counselling, and care. The authors advocate for global, collaborative efforts in both basic and translational research to tackle numerous crucial questions that currently lack answers, and suggest reconvening within the next 3-5 years to evaluate the research advancements and update this guidance as needed.

Prenatal NeuN+ neurons of Down syndrome display aberrant integrative DNA methylation and gene expression profiles.

Aim: To detect expression quantitative trait methylation (eQTM) loci within the cerebrum of prenatal Down syndrome (DS) and controls. Material & methods: DNA methylation gene expression profiles were acquired from NeuN+ nuclei, obtained from cerebrum sections of DS and controls. Linear regression models were applied to both datasets and were subsequently applied in an integrative analysis model to detect DS-associated eQTM loci. Results & conclusion: Widespread aberrant DNA methylation and gene expression were observed in DS. A substantial number of differentially methylated loci were replicated according to a previously reported study. Subsequent integrative analyses (eQTM) yielded numerous associated DS loci. the authors associated DNA methylation, gene expression and eQTM loci with DS that may underlie particular DS phenotypical characteristics.

Down syndrome (DS) is a common (1 of 1000 live births) autosomal aneuploidy in humans. Epigenetic programming regulates gene expression, defines cell fate and differentiation and drives early development. The authors aimed to detect DNA loci that are linked with the early developing brain of DS by analyzing DNA methylation and gene expression in prenatal DS neuronal samples. Numerous differential DNA methylated and expressed loci were found to be linked with DS. These findings may underlie particular DS characteristics, yet follow-up confirmation is required.

DNA methylation abundantly associates with fetal alcohol spectrum disorder and its subphenotypes.

Aim: Fetal alcohol spectrum disorder (FASD) involves prenatal growth delay, impaired facial and CNS development and causes severe clinical, social-economic burdens. Here, we aim to detect DNA-methylation aberrations associated with FASD and potential FASD diagnostic and prognostic biomarkers. Patients & methods: The FASD diagnosis was established according to golden-standard protocols in a discovery and independent replication cohort. Genome-wide differential methylation association and replication analyses were performed. Results: We identified several loci that were robustly associated with FASD or one of its sub phenotypes. Our findings were evaluated using previously reported genome-wide surveys. Conclusion: We have detected robust FASD associated differentially methylated positions and differentially methylated regions for FASD in general and for FASD subphenotypes, in other words on growth delay, impaired facial and CNS development.

Genetic variant in CACNA1C is associated with PTSD in traumatized police officers.

Posttraumatic stress disorder (PTSD) is a debilitating psychiatric disorder that may develop after a traumatic event. Here we aimed to identify epigenetic and genetic loci associated with PTSD. We included 73 traumatized police officers with extreme phenotypes regarding symptom severity despite similar trauma history: n = 34 had PTSD and n = 39 had minimal PTSD symptoms. Epigenetic and genetic profiles were based on the Illumina HumanMethylation450 BeadChip. We searched for differentially methylated probes (DMPs) and differentially methylated regions (DMRs). For genetic associations we analyzed the CpG-SNPs present on the array. We detected no genome-wide significant DMPs and we did not replicate previously reported DMPs associated with PTSD. However, GSE analysis of the top 100 DMPs showed enrichment of three genes involved in the dopaminergic neurogenesis pathway. Furthermore, we observed a suggestive association of one relatively large DMR between patients and controls, which was located at the PAX8 gene and previously associated with other psychiatric disorders. Finally, we validated five PTSD-associated CpG-SNPs identified with the array using sanger sequencing. We subsequently replicated the association of one common SNP (rs1990322) in the CACNA1C locus with PTSD in an independent cohort of traumatized children. The CACNA1C locus was previously associated with other psychiatric disorders, but not yet with PTSD. Thus, despite the small sample size, inclusion of extreme symptom severity phenotypes in a highly homogenous traumatized cohort enabled detection of epigenetic and genetic loci associated with PTSD. Moreover, here we showed that genetically confounded 450K probes are informative for genetic association analysis.