Epigenetic machine learning: utilizing DNA methylation patterns to predict spastic cerebral palsy.
Erin L CrowgeyAdam G MarshKaryn G RobinsonStephanie K YeagerRobert E AkinsPublished in: BMC bioinformatics (2018)
Adolescent patients with spastic CP can be distinguished from a non-CP cohort based on DNA methylation patterns in peripheral blood cells. A clinical diagnostic test utilizing a panel of CpG sites may be possible using a simulated classification model. A pilot validation test on patients that were more than 10 years younger than the main adolescent cohorts indicated that distinguishing methylation patterns are present earlier in life. This study is the first to report an epigenetic assay capable of distinguishing a CP cohort.
Keyphrases
- dna methylation
- cerebral palsy
- machine learning
- genome wide
- gene expression
- peripheral blood
- young adults
- end stage renal disease
- mental health
- induced apoptosis
- newly diagnosed
- ejection fraction
- chronic kidney disease
- deep learning
- prognostic factors
- peritoneal dialysis
- copy number
- cell cycle arrest
- high throughput
- artificial intelligence
- oxidative stress
- signaling pathway
- cell proliferation
- endoplasmic reticulum stress
- patient reported outcomes
- cell death