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URMC / Labs / Corsetti Lab / Projects / Pathways of familial dysbetalipoproteinemia (FD) development assessed by Bayesian Network (BN) model

Pathways of familial dysbetalipoproteinemia (FD) development assessed by Bayesian Network (BN) modeling

BN modeling is a probabilistic graphical data analysis approach that allows relationships among risk variables to be pictured in simple diagrams that can provide insights into pathophysiologic mechanisms, in this case to FD development with special regard to apolipoprotein E (apoE), high-density lipoprotein (HDL) particle composition, and insulin resistance.

The below diagram shows BN results demonstrating relationships among apoE, HDL, apolipoprotein A-I (apoA-I), apolipoprotein A-II (apoA-II), and insulin resistance via insulin levels and homeostatic model assessment of insulin resistance (HOMA-IR).

BN photo

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