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Transcription Factor Binding and Individual Genetic Risk of Valproate Teratogenicity
Alison Anderson1,2, Piero Perucca1,2,3,4,5, Elena Vianca1,6
1Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.
Genetic variants in maternal DNA can alter how transcription factors bind, influencing the risk of birth defects from valproate (VPA) exposure during pregnancy. This research identifies EP300 as a key gene in VPA teratogenicity, paving the way for personalized risk assessment.
Area of Science:
- Genetics
- Pharmacology
- Developmental Biology
Background:
- Valproate (VPA) use in pregnancy is linked to birth defects, but individual risk varies, suggesting a genetic component.
- Understanding maternal genetic influence on VPA teratogenicity is crucial for preconception counseling and developing risk prediction biomarkers.
Purpose of the Study:
- To investigate the role of maternal genomic variants affecting transcription factor (TF) binding affinity in VPA-associated teratogenicity.
- To identify potential pharmacogenomic biomarkers for predicting VPA-induced birth defect risks.
Main Methods:
- Analysis of maternal exome variants from epilepsy pregnancy registries and genomics consortia.
- Application of a network-based approach to link variants to birth defect-associated genes and identify variant-sensitive TFs.
- Utilized gene burden tests and multi-modal evidence to identify key TFs and their interactions, including EP300, in an hESC model.
Main Results:
- Higher variant burden in VPA-exposed pregnancies compared to other antiseizure medications (ASMs) across 32 birth defect types (OR 1.73).
- Identified 359 variant-sensitive TFs, forming a connected network where EP300 interacted with 41% of these TFs.
- VPA exposure was shown to alter EP300-TF interactions in an embryonic stem cell model.
Conclusions:
- VPA-induced disruption of EP300-related gene regulation is a potential teratogenic mechanism underlying diverse birth defects.
- This mechanism is sensitive to genetic variation, supporting the development of pharmacogenomic risk biomarkers.
- Findings have implications for safer drug development and personalized medicine for women of childbearing potential.
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