Figure - PMC

Skip to main content

View full-text article in PMC

. Author manuscript; available in PMC: 2018 Apr 1.

Published in final edited form as: Environ Mol Mutagen. 2017 Apr;58(3):146–161. doi: 10.1002/em.22083

Figure 5a. Multinomial logistic regression probabilities for aneugen classification are graphed for each of 40 chemicals studied at Orion. Chemicals are coded according to genotoxic MoA: clastogens = red circles, aneugens = blue squares, and non-genotoxicants = green triangles. A series of probabilities are plotted for each chemical, as each represents a different concentration. These data show that each of the aneugens were correctly classified by the 4-factor aneugen detection model (two successive concentrations with probabilities in excess of 0.8, or one concentration in excess of 0.9). None of the clastogens or non-genotoxicants were misclassified as aneugens.

Figure 5b. Multinomial logistic regression probabilities for clastogen classification are graphed for each of 40 chemicals studied at Orion. Chemicals are coded according to genotoxic MoA: clastogens = red circles, aneugens = blue squares, and non-genotoxicants = green triangles. A series of probabilities are plotted for each chemical, with each point representing a different concentration. These data show that all 14 clastogens were correctly classified by the clastogen-detection model. One aneugen at one concentration showed a high clastogen probability score (griseofulvin), and only 1 of 21 non-genotoxicants was misclassified as clastogenic (dexamethasone).

Figure 5a. Multinomial logistic regression probabilities for aneugen classification are graphed for each of 40 chemicals studied at Orion. Chemicals are coded according to genotoxic MoA: clastogens = red circles, aneugens = blue squares, and non-genotoxicants = green triangles. A series of probabilities are plotted for each chemical, as each represents a different concentration. These data show that each of the aneugens were correctly classified by the 4-factor aneugen detection model (two successive concentrations with probabilities in excess of 0.8, or one concentration in excess of 0.9). None of the clastogens or non-genotoxicants were misclassified as aneugens.

Figure 5b. Multinomial logistic regression probabilities for clastogen classification are graphed for each of 40 chemicals studied at Orion. Chemicals are coded according to genotoxic MoA: clastogens = red circles, aneugens = blue squares, and non-genotoxicants = green triangles. A series of probabilities are plotted for each chemical, with each point representing a different concentration. These data show that all 14 clastogens were correctly classified by the clastogen-detection model. One aneugen at one concentration showed a high clastogen probability score (griseofulvin), and only 1 of 21 non-genotoxicants was misclassified as clastogenic (dexamethasone).