Human individual radiation sensitivity and prospects for prediction. (October 2018)

• Record Type: Journal Article
• Authors: Rajaraman, P.; Hauptmann, M.; Bouffler, S.; Wojcik, A.
• Is Part Of: Annals of the ICRP. Volume 47:Number 3/4(2018)
• Page Start: 126
• Page End: 141
• Publication Date: 2018-10
• Subjects: Individual radiosensitivity -- Tissue effects -- Stochastic effects -- Predictive tests; Radiation -- Safety measures -- Periodicals; Radiation -- Physiological effect -- Periodicals; Radiation -- Toxicology -- Periodicals; Periodicals; 612.01448
• DOI: 10.1177/0146645318764091
• Languages: English
• ISSNs: 0146-6453

Abstract

In the past few decades, it has become increasingly evident that sensitivity to ionising radiation is variable. This is true for tissue reactions (deterministic effects) after high doses of radiation, for stochastic effects following moderate and possibly low doses, and conceivably also for non-cancer effects such as cardiovascular disease, the causal pathway(s) of which are not yet fully understood. A high sensitivity to deterministic effects is not necessarily correlated with a high sensitivity to stochastic effects. The concept of individual sensitivity to high and low doses of radiation has long been supported by data from patients with certain rare hereditary conditions. However, these syndromes only affect a small proportion of the general population. More relevant to the majority of the population is the notion that some part of the genetic contribution defining radiation sensitivity may follow a polygenic model, which predicts elevated risk resulting from the inheritance of many low-penetrance risk-modulating alleles. Can the different forms of individual radiation sensitivities be inferred from the reaction of cells exposed ex vivo to ionising radiation? Can they be inferred from analyses of individual genotypes? This paper reviews current evidence from studies of late adverse tissue reactions after radiotherapy in potentially sensitive groups, including data from functional assays, candidate gene approaches, and genome-wide association studies. It focuses on studies published in 2013 or later because a comprehensive review of earlier studies was published previously in a report by the UK Advisory Group on Ionising Radiation.