In the radiation protection approach to risk assessment, it is assumed that cancer induction follows low-level radiation exposure in a probabilistic way.
The stochastic model underlying all present risk assessment methods derives risks from cancer incidence frequencies in exposed populations and associates disease outcomes totally with the level of exposure to an environmental source.
Exposure is the risk factor that affects the probability of the disease outcome.
But cancer risk also reflects pre-existing underlying genetic predisposition (genetic risk factors) in individuals who are exposed.
The distribution of genetic risk factors in time and space is governed by the biological and social processes involved in reproduction (biological risk factors).
To include both genetic and biological risk factors in cancer risk assessment, a genetic cancer risk factors model must be developed.
We tested the plausibility of the genetic cancer risk factors model by surveying all genetic disorders associated with cancer in the Online Mendelian Inheritance in Man database, determined the gene map location, if known, and attached DNA sequence information if it was available.
We found 641 genetic disorders associated with cancer, of which 495 have been mapped into about 120 clusters on the human genome, and of which DNA sequence data are at least partially available for 253. (...)
Mots-clés Pascal : Génome, DNA, Radiolésion, Radioprotection, Analyse risque, Homme, Tumeur maligne, Radiosensibilité, Epidémiologie
Mots-clés Pascal anglais : Genome, DNA, Radiation injury, Radioprotection, Risk analysis, Human, Malignant tumor, Radiosensitivity, Epidemiology
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 98-0110025
Code Inist : 002B30A01A2. Création : 22/06/1998.