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...

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Bibliographic Details
Published in:International journal of molecular sciences 2023-04, Vol.24 (7), p.6601
Main Authors: Krzyzewska, Izabela M, Lauffer, Peter, Mul, Adri N, van der Laan, Liselot, Yim, Andrew Y F Li, Cobben, Jan Maarten, Niklinski, Jacek, Chomczyk, Monika A, Smigiel, Robert, Mannens, Marcel M A M, Henneman, Peter
Format: Article
Language:English
Subjects:
Biomarkers
Birth defects
Blood
Communication
Comparative analysis
Congenital defects
Congenital diseases
DNA Methylation
Effect of alcohol on
Epigenetic inheritance
Epigenetics
eQTM
FASD
Female
fetal alcohol spectrum disorder
Fetal Alcohol Spectrum Disorders - diagnosis
Fetal Alcohol Spectrum Disorders - genetics
Fetal alcohol syndrome
Fetus
Footprints
Gene expression
Genes
Genetic aspects
Genetic research
Genomes
Genomics
Humans
Metadata
Methylation
Neurodevelopmental disorders
Phenotype
Pregnancy
Pregnant women
Prenatal experience
Prenatal Exposure Delayed Effects - genetics
SEC Translocation Channels - genetics
Statistical analysis
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Summary: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 , , , , and genes) associated with changes in gene expression ( -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.
ISSN:1422-0067
1661-6596
1422-0067
DOI:10.3390/ijms24076601