Literature DB >> 11024483

Ionizing radiation and genetic risks. XI. The doubling dose estimates from the mid-1950s to the present and the conceptual change to the use of human data on spontaneous mutation rates and mouse data on induced mutation rates for doubling dose calculations.

K Sankaranarayanan1, R Chakraborty.   

Abstract

This paper provides an overview of the concept of doubling dose, changes in the database employed for calculating it over the past 30 years and recent advances in this area. The doubling dose is estimated as a ratio of the average rates of spontaneous and induced mutations in a defined set of genes. The reciprocal of the doubling dose is the relative mutation risk per unit dose and is one of the quantities used in estimating genetic risks of radiation exposures. Most of the doubling dose estimates used thus far have been based on mouse data on spontaneous and induced rates of mutations. Initially restricted to mutations in defined genes (with particular focus on the seven genes at which induced recessive mutations were studied in different laboratories), the doubling dose concept was subsequently expanded to include other endpoints of genetic damage. At least during the past 20 years, the magnitude of the doubling dose has remained unchanged at approximately 1 Gy for chronic low LET radiation exposures. One of the assumptions underlying the use of the doubling dose based on mouse data for predicting genetic risks in humans, namely, that the spontaneous rates of mutations in mouse and human genes are similar, is incorrect; this is because of the fact that, unlike in the mouse, the mutation rate in humans differs between the two sexes (being higher in males than in females) and increases with paternal age. Further, an additional source of uncertainty in spontaneous mutation rate estimates in mice has been uncovered. This is related to the non-inclusion of mutations which arise as germinal mosaics and which result in clusters of identical mutations in the following generation. In view of these reasons, it is suggested that a prudent way forward is to revert to the use of human data on spontaneous mutation rates and mouse data on induced mutation rates for doubling dose calculations as was first done in the 1972 BEIR report of the US National Academy of Sciences. The advantages of this procedure are the following: (i) estimates of spontaneous mutation rates in humans, which are usually presented as sex-averaged rates, automatically include sex differences and paternal age-effects; (ii) since human geneticists count all mutations that arise anew irrespective of whether they are part of a cluster or not, had clusters occurred, they would have been included in mutation rate calculations and (iii) one stays close to the aim of risk estimation, namely, estimation of the risk of genetic diseases in humans. On the basis of detailed analyses of the pertinent data, it is now estimated that the average spontaneous mutation rate of human genes (n=135 genes) is: (2.95+/-0.64)x10(-6) per gene and the average induced mutation rate of mouse genes (n=34) is: (0.36+/-0.10)x10(-5) per gene per Gy for chronic low LET radiation. The resultant doubling dose is (0.82+/-0.29) Gy. The standard error of the doubling dose estimate incorporates sampling variability across loci for estimates of spontaneous and induced mutation rates as well as variability in induced mutation rates in individual mouse experiments on radiation-induced mutations. We suggest the use of a rounded doubling dose value of 1 Gy for estimating genetic risks of radiation. Although this value is the same as that used previously, its conceptual basis is different and the present estimate is based on more extensive data than has so far been the case.

Entities:  

Mesh:

Year:  2000        PMID: 11024483     DOI: 10.1016/s0027-5107(00)00108-1

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  8 in total

1.  Metakaryotic stem cell lineages in organogenesis of humans and other metazoans.

Authors:  Elena V Gostjeva; Vera Koledova; Aoy Tomita-Mitchell; Michael Mitchell; Mary A Goetsch; Susannah Varmuza; Janna N Fomina; Firouz Darroudi; William G Thilly
Journal:  Organogenesis       Date:  2009-10       Impact factor: 2.500

2.  Medical radiation exposure and risk of retinoblastoma resulting from new germline RB1 mutation.

Authors:  Greta R Bunin; Marc A Felice; William Davidson; Debra L Friedman; Carol L Shields; Andrew Maidment; Michael O'Shea; Kim E Nichols; Ann Leahey; Ira J Dunkel; Rima Jubran; Carlos Rodriguez-Galindo; Mary Lou Schmidt; Joanna L Weinstein; Stewart Goldman; David H Abramson; Matthew W Wilson; Brenda L Gallie; Helen S L Chan; Michael Shapiro; Avital Cnaan; Arupa Ganguly; Anna T Meadows
Journal:  Int J Cancer       Date:  2011-05-15       Impact factor: 7.396

3.  Recovery of a low mutant frequency after ionizing radiation-induced mutagenesis during spermatogenesis.

Authors:  Guogang Xu; Gabriel W Intano; John R McCarrey; Ronald B Walter; C Alex McMahan; Christi A Walter
Journal:  Mutat Res       Date:  2008-06-07       Impact factor: 2.433

Review 4.  Radiobiology in Cardiovascular Imaging.

Authors:  Pat Zanzonico; Lawrence Dauer; H William Strauss
Journal:  JACC Cardiovasc Imaging       Date:  2016-12

5.  Transgenerational accumulation of radiation damage in small mammals chronically exposed to Chernobyl fallout.

Authors:  Nadezhda I Ryabokon; R I Goncharova
Journal:  Radiat Environ Biophys       Date:  2006-07-22       Impact factor: 1.925

6.  Elevated minisatellite mutation rate in the post-chernobyl families from ukraine.

Authors:  Yuri E Dubrova; Gemma Grant; Anatoliy A Chumak; Vasyl A Stezhka; Angela N Karakasian
Journal:  Am J Hum Genet       Date:  2002-09-11       Impact factor: 11.025

7.  Simultaneous measurement of benzo[a]pyrene-induced Pig-a and lacZ mutations, micronuclei and DNA adducts in Muta™ Mouse.

Authors:  Christine L Lemieux; George R Douglas; John Gingerich; Souk Phonethepswath; Dorothea K Torous; Stephen D Dertinger; David H Phillips; Volker M Arlt; Paul A White
Journal:  Environ Mol Mutagen       Date:  2011-10-04       Impact factor: 3.216

Review 8.  Exposure-Response Relationship and Doubling Risk Doses-A Systematic Review of Occupational Workload and Osteoarthritis of the Hip.

Authors:  Yi Sun; Annette Nold; Ulrich Glitsch; Frank Bochmann
Journal:  Int J Environ Res Public Health       Date:  2019-09-30       Impact factor: 3.390

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.