A biological approach to the interspecies prediction of radiation-induced mortality risk

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Evolutionary explanations for why sexually reproducing organisms grow old suggest that the forces of natural selection affect the ages when diseases occur that are subject to a genetic influence (referred to here as intrinsic diseases). When extended to the population level for a species, this logic leads to the general prediction that age-specific death rates from intrinsic causes should begin to rise as the force of selection wanes once the characteristic age of sexual maturity is attained. Results consistent with these predictions have been found for laboratory mice, beagles, and humans where, after adjusting for differences in life span, it ... continued below

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19 p.

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Carnes, B.A.; Grahn, D. & Olshansky, S.J. August 1, 1997.

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  • Carnes, B.A.
  • Grahn, D. Argonne National Lab., IL (United States). Center for Mechanistic Biology and Biotechnology
  • Olshansky, S.J. Univ. of Chicago, IL (United States). Dept. of Medicine

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Description

Evolutionary explanations for why sexually reproducing organisms grow old suggest that the forces of natural selection affect the ages when diseases occur that are subject to a genetic influence (referred to here as intrinsic diseases). When extended to the population level for a species, this logic leads to the general prediction that age-specific death rates from intrinsic causes should begin to rise as the force of selection wanes once the characteristic age of sexual maturity is attained. Results consistent with these predictions have been found for laboratory mice, beagles, and humans where, after adjusting for differences in life span, it was demonstrated that these species share a common age pattern of mortality for intrinsic causes of death. In quantitative models used to predict radiation-induced mortality, risks are often expressed as multiples of those observed in a control population. A control population, however, is an aging population. As such, mortality risks related to exposure must be interpreted relative to the age-specific risk of death associated with aging. Given the previous success in making interspecies predictions of age-related mortality, the purpose of this study was to determine whether radiation-induced mortality observed in one species could also be predicted quantitatively from a model used to describe the mortality consequences of exposure to radiation in a different species. Mortality data for B6CF{sub 1} mice and beagles exposed to {sup 60}Co {gamma}-rays for the duration of life were used for analysis.

Physical Description

19 p.

Notes

INIS; OSTI as DE97008267

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  • Other Information: PBD: [1997]

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  • Other: DE97008267
  • Report No.: ANL/CMB/PP--93700
  • Grant Number: W-31109-ENG-38
  • DOI: 10.2172/515530 | External Link
  • Office of Scientific & Technical Information Report Number: 515530
  • Archival Resource Key: ark:/67531/metadc696375

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Creation Date

  • August 1, 1997

Added to The UNT Digital Library

  • Aug. 14, 2015, 8:43 a.m.

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  • Dec. 16, 2015, 10:57 a.m.

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Carnes, B.A.; Grahn, D. & Olshansky, S.J. A biological approach to the interspecies prediction of radiation-induced mortality risk, report, August 1, 1997; Illinois. (digital.library.unt.edu/ark:/67531/metadc696375/: accessed September 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.