DynoSys offers a unified dynamic systems model integrating genetic, environmental, and neurobiological signals to analyze longitudinal behavioral phenotypes in adolescents via harmonized representations and survival or state-space modeling.
Polygenic prediction via bayesian regression and continuous shrinkage priors.Nature communications, 10(1):1776
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Time-varying Cox models and marginal structural models on ABCD data link higher impulsivity, lower parental monitoring, and nicotine PRS to earlier substance initiation, suggesting causal roles for these factors.
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DynoSys: A Dynamic Systems Framework for Multimodal Integration of Genetic, Environmental, and Neurobiological Signals
DynoSys offers a unified dynamic systems model integrating genetic, environmental, and neurobiological signals to analyze longitudinal behavioral phenotypes in adolescents via harmonized representations and survival or state-space modeling.
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Time-Varying Environmental and Polygenic Predictors of Substance Use Initiation in Youth: A Survival and Causal Modeling Study in the ABCD Cohort
Time-varying Cox models and marginal structural models on ABCD data link higher impulsivity, lower parental monitoring, and nicotine PRS to earlier substance initiation, suggesting causal roles for these factors.