Literature DB >> 19088901

Summary of dose-response modeling for developmental toxicity studies.

Daniel L Hunt1, Shesh N Rai, Chin-Shang Li.   

Abstract

Developmental toxicity studies are an important area in the field of toxicology. Endpoints measured on fetuses include weight and indicators of death and malformation. Binary indicator measures are typically summed over the litter and a discrete distribution is assumed to model the number of adversely affected fetuses. Additionally, there is noticeable variation in the litter responses within dose groups that should be taken into account when modeling. Finally, the dose-response pattern in these studies exhibits a threshold effect. The threshold dose-response model is the default model for non-carcinogenic risk assessment, according to the USEPA, and is encouraged by the agency for the use in the risk assessment process. Two statistical models are proposed to estimate dose-response pattern of data from the developmental toxicity study: the threshold model and the spline model. The models were applied to two data sets. The advantages and disadvantages of these models, potential other models, and future research possibilities will be summarized.

Entities:  

Keywords:  Developmental toxicity study; Dose-group variation; Estimation; Spline; Threshold

Year:  2008        PMID: 19088901      PMCID: PMC2592994          DOI: 10.2203/dose-response.08-007.Hunt

Source DB:  PubMed          Journal:  Dose Response        ISSN: 1559-3258            Impact factor:   2.658


  12 in total

Review 1.  Hazard assessment of chemical carcinogens: the impact of hormesis.

Authors:  J G Teeguarden; Y Dragan; H C Pitot
Journal:  J Appl Toxicol       Date:  2000 Mar-Apr       Impact factor: 3.446

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Authors:  D A Williams
Journal:  Biometrics       Date:  1975-12       Impact factor: 2.571

3.  Dose and litter allocations in the design of teratological studies for detecting hormesis.

Authors:  Daniel Hunt
Journal:  Teratology       Date:  2002-12

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Authors:  Daniel L Hunt; Dale Bowman
Journal:  Risk Anal       Date:  2004-02       Impact factor: 4.000

Review 5.  Some implications for quantitative risk assessment if hormesis exists.

Authors:  R L Sielken; D E Stevenson
Journal:  Hum Exp Toxicol       Date:  1998-05       Impact factor: 2.903

6.  Threshold dose-response models in toxicology.

Authors:  C Cox
Journal:  Biometrics       Date:  1987-09       Impact factor: 2.571

7.  The impact of litter effects on dose-response modeling in teratology.

Authors:  L L Kupper; C Portier; M D Hogan; E Yamamoto
Journal:  Biometrics       Date:  1986-03       Impact factor: 2.571

8.  Analysis of dichotomous response data from certain toxicological experiments.

Authors:  J K Haseman; L L Kupper
Journal:  Biometrics       Date:  1979-03       Impact factor: 2.571

9.  A new method for determining allowable daily intakes.

Authors:  K S Crump
Journal:  Fundam Appl Toxicol       Date:  1984-10

10.  Analysis of proportions of affected foetuses in teratological experiments.

Authors:  S R Paul
Journal:  Biometrics       Date:  1982-06       Impact factor: 2.571

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  1 in total

Review 1.  In silico toxicology: computational methods for the prediction of chemical toxicity.

Authors:  Arwa B Raies; Vladimir B Bajic
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2016-01-06
  1 in total

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