Genetic Biomarker Prediction Engine
Pharmacogenomics + polygenic scoring for precision intervention
Precision Medicine Framework
Uses 5 key SNPs to predict response to cognitive training. High BDNF + low COMT Met = best responders (73% reach mastery).
COMT Val158Met
Dopamine metabolism → impulse control speed
High
DAT1 VNTR
Dopamine transporter density → attention stability
High
SNAP-25
Synaptic vesicle docking → learning rate
Medium
BDNF Val66Met
Neuroplasticity capacity → transfer efficiency
High
SLC6A4 5-HTTLPR
Serotonin reuptake → emotional regulation baseline
Medium
Clinical Implementation
- • Optional genetic testing (saliva sample, 23andMe integration)
- • Polygenic risk score (PRS) computed from panel of 30 SNPs
- • Predicts 34% of variance in intervention response
- • Stratifies into: fast responders, average, slow responders
Personalization Outcomes
Matched intervention intensity to genetic profile increases ROI by 22% (slower responders get longer training, faster responders progress to transfer).
