Meta-analysis reveals differential gene expression in tetralogy of Fallot versus controls.
Sarah Mae VoskampMaya Alexis HammondsThomas M KnappAshley L PekmezianDexter HadleyJennifer S NelsonPublished in: Birth defects research (2023)
We introduced the interpretation of open "big data" using the STARGEO platform to define robust genomic signatures of congenital heart disease pathology of TOF. Overall, our meta-analysis results indicated increased metabolism, inflammation, and altered gene expression in TOF patients. Estrogen receptor signaling and the role of NFAT in cardiac hypertrophy represent unique pathways upregulated in TOF patients and are potential targets for future pharmacologic treatments.
Keyphrases
- gene expression
- systematic review
- big data
- end stage renal disease
- mass spectrometry
- congenital heart disease
- ejection fraction
- ms ms
- chronic kidney disease
- dna methylation
- prognostic factors
- oxidative stress
- artificial intelligence
- meta analyses
- risk assessment
- randomized controlled trial
- patient reported outcomes
- deep learning
- copy number
- estrogen receptor
- case control