Risk and Resilience Variants in the Retinoic Acid Metabolic and Developmental Pathways Associated with Risk of FASD Outcomes.
Leo McKayBerardino PetrelliMolly PindJames N ReynoldsRichard F WintleAlbert E ChudleyBritt DrögemöllerAbraham FainsodStephen W SchererAna Hanlon-DearmanGeoffrey G HicksPublished in: Biomolecules (2024)
Fetal Alcohol Spectrum Disorder (FASD) is a common neurodevelopmental disorder that affects an estimated 2-5% of North Americans. FASD is induced by prenatal alcohol exposure (PAE) during pregnancy and while there is a clear genetic contribution, few genetic factors are currently identified or understood. In this study, using a candidate gene approach, we performed a genetic variant analysis of retinoic acid (RA) metabolic and developmental signaling pathway genes on whole exome sequencing data of 23 FASD-diagnosed individuals. We found risk and resilience alleles in ADH and ALDH genes known to normally be involved in alcohol detoxification at the expense of RA production, causing RA deficiency, following PAE. Risk and resilience variants were also identified in RA-regulated developmental pathway genes, especially in SHH and WNT pathways. Notably, we also identified significant variants in the causative genes of rare neurodevelopmental disorders sharing comorbidities with FASD, including STRA6 (Matthew-Wood), SOX9 (Campomelic Dysplasia), FDG1 (Aarskog), and 22q11.2 deletion syndrome ( TBX1 ). Although this is a small exploratory study, the findings support PAE-induced RA deficiency as a major etiology underlying FASD and suggest risk and resilience variants may be suitable biomarkers to determine the risk of FASD outcomes following PAE.
Keyphrases
- spectrum disorder
- genome wide
- copy number
- rheumatoid arthritis
- climate change
- signaling pathway
- genome wide identification
- dna methylation
- disease activity
- pregnant women
- ankylosing spondylitis
- transcription factor
- bioinformatics analysis
- cell proliferation
- healthcare
- gene expression
- big data
- systemic lupus erythematosus
- interstitial lung disease
- epithelial mesenchymal transition
- social media
- positron emission tomography
- data analysis
- high glucose
- artificial intelligence
- insulin resistance
- induced apoptosis