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Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation
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Published on: September 4, 2017

Issues in using human variability distributions to estimate low-dose risk.

Kenny S Crump1, Weihsueh A Chiu, Ravi P Subramaniam

  • 1Louisiana Tech University, Ruston, Louisiana 71272-0046, USA. kennycrump@email.com

Environmental Health Perspectives
|January 13, 2010
PubMed
Summary
This summary is machine-generated.

Human variability distributions (HVDs) for estimating low-dose risks are based on scientifically questionable assumptions. Caution is advised when using HVD modeling for toxic chemical risk assessment due to unreliable low-dose risk estimates.

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Area of Science:

  • Toxicology and Risk Assessment
  • Environmental Health Sciences
  • Biostatistics

Background:

  • National Research Council recommended Human Variability Distributions (HVDs) for low-dose risk estimation.
  • HVD modeling uses log-normal distributions of pharmacokinetic and pharmacodynamic variables.
  • This approach estimates low-dose risk by combining individual sensitivity distributions.

Purpose of the Study:

  • To critically evaluate the assumptions underlying HVD modeling for low-dose risk assessment.
  • To examine the impact of these assumptions on the accuracy of risk estimations.
  • To identify limitations and potential biases in the HVD approach.

Main Methods:

  • Rigorous scrutiny of assumptions and data used in HVD modeling.
  • Analysis of alternative statistical distributions for human sensitivity variables.
  • Examination of the compatibility of different distributional assumptions within HVD models.

Main Results:

  • The log-normal distribution assumption for variables affecting human sensitivity is not scientifically defensible.
  • Alternative distributions yield significantly different low-dose risk estimates.
  • Incompatibility exists between assuming a log-normal distribution for threshold dose and the continuous response, impacting risk estimates.
  • The assumption of independent, multiplicative variables for threshold dose lacks phenomenological support.

Conclusions:

  • HVD modeling relies on scientifically unsupported assumptions.
  • The validity of HVD modeling for general low-dose risk estimation is questionable.
  • Caution is recommended when applying HVD modeling to assess risks from human exposure to toxic chemicals.