Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA318420 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Copy number variation in fetal alcohol spectrum disorder
| PRJNA398332 | ENA
Project description:DNA methylation as a predictor of fetal alcohol spectrum disorder
| PRJNA429971 | ENA
Project description:Background: Fetal alcohol spectrum disorder (FASD) is a developmental disorder that manifests through a range of cognitive, adaptive, physiological, and neurobiological deficits resulting from prenatal alcohol exposure. Although the North American prevalence is currently estimated at 2-5%, FASD has proven difficult to identify in the absence of the overt physical features characteristic of fetal alcohol syndrome. As interventions may have the greatest impact at an early age, accurate biomarkers are needed to identify children at risk for FASD. Building on our previous work identifying distinct DNA methylation patterns in children and adolescents with FASD, we have attempted to validate these associations in a different clinical cohort and to use our DNA methylation signature to develop a possible epigenetic predictor of FASD. Methods: Genome-wide DNA methylation patterns were analyzed using the Illumina HumanMethylation450 array in the buccal epithelial cells of a cohort of 48 individuals aged 3.5-18 (24 FASD cases, 24 controls). The DNA methylation predictor of FASD was built using a stochastic gradient boosting model on our previously published dataset FASD cases and controls (GSE80261). The predictor was tested on the current dataset and an independent dataset of 48 autism spectrum disorder cases and 48 controls (GSE50759). Results: We validated findings from our previous study that identified a DNA methylation signature of FASD, replicating the altered DNA methylation levels of 161/648 CpGs in this independent cohort, which may represent a robust signature of FASD in the epigenome. We also generated a predictive model of FASD using machine learning in a subset of our previously published cohort of 179 samples (83 FASD cases, 96 controls), which was tested in this novel cohort of 48 samples and resulted in a moderately accurate predictor of FASD status. Upon testing the algorithm in an independent cohort of individuals with autism spectrum disorder, we did not detect any bias towards autism, sex, age, or ethnicity. Conclusion: These findings further support the association of FASD with distinct DNA methylation patterns, while providing a possible entry point towards the development of epigenetic biomarkers of FASD.
2018-02-23 | GSE109042 | GEO
Project description:Prenatal alcohol exposure is recognized to alter DNA methylation profiles of brain cells during development, and as being part of the molecular basis underpinning Fetal Alcohol Spectrum Disorder (FASD) etiology. However, we have negligible information on the effects of alcohol during the initial embryonic stages, a window marked with dynamic DNA methylation reprogramming, and on how this may rework the brain developmental program. Using a pre-clinical in vivo mouse model, we show that pre-implantation alcohol exposure leads to adverse developmental outcomes that replicate clinical facets observed in children with FASD. Genome-wide DNA methylation analyses of fetal forebrains uncovered sex-specific alterations, including partial loss of DNA methylation maintenance at imprinted control regions, and abnormal re-establishment of de novo DNA methylation profiles in various biological pathways (e.g, neural/brain development). These findings support the contribution of alcohol-induced DNA methylation programming deviations during pre-implantation to the manifestations of neurodevelopmental phenotypes associated with FASD.
2023-01-17 | GSE162765 | GEO
Project description:Epigenetic profiling of Fetal Alcohol Spectrum Disorder (FASD)
| PRJNA449761 | ENA
Project description:Epigenetic profiling of Fetal Alcohol Spectrum Disorder (FASD) Replication
| PRJNA449759 | ENA
Project description:Epigenetic profiling of Fetal Alcohol Spectrum Disorder (FASD) Discovery
| PRJNA449694 | ENA
Project description:Mouse models of Fetal Alcohol Spectrum Disorder can be used to assess molecular changes underlying the disorder. Neonatal ethanol exposure in mice can be used to model third trimester ethanol exposure in humans.
2015-03-07 | GSE66645 | GEO
Project description:Mouse models of Fetal Alcohol Spectrum Disorder can be used to assess molecular changes underlying the disorder. Neonatal ethanol exposure in mice can be used to model third trimester ethanol exposure in humans.
2015-03-07 | GSE66644 | GEO
Project description:Gene methylation profiling of immortalized human mesenchymal stem cells comparing HPV E6/E7-transfected MSCs cells with human telomerase reverse transcriptase (hTERT)- and HPV E6/E7-transfected MSCs. hTERT may increase gene methylation in MSCs. Goal was to determine the effects of different transfected genes on global gene methylation in MSCs.
2011-08-25 | GSE23936 | GEO