ZHAO Yong-cheng,NIU Jin-liang,WANG Ji-xian.Influence of individual radiation sensitivity on GPA gene mutation frequency in medical diagnostic X-ray workers[J].Chinese Journal of Radiological Medicine and Protection,2004,24(2):91-94
Influence of individual radiation sensitivity on GPA gene mutation frequency in medical diagnostic X-ray workers
Received:May 20, 2003  
DOI:
KeyWords:Glycophrin A  Medical X-rays  Gene mutation frequency  Radiation sensitivity
FundProject:国家自然科学基金资助项目(30070644)
Author NameAffiliation
ZHAO Yong-cheng Institute of Radiation Medicine, Chinese Academy of Medicine Sciences, Tianjin 300192, China 
NIU Jin-liang Institute of Radiation Medicine, Chinese Academy of Medicine Sciences, Tianjin 300192, China 
WANG Ji-xian Institute of Radiation Medicine, Chinese Academy of Medicine Sciences, Tianjin 300192, China 
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Abstract::
      Objective To study the influence of individual radiation sensitivity on GPA gene mutation frequency and the way to adjust it. Methods Comet assay, cytokinesis-block micronucleus plus 3AB index technique, and multiple linear regression were used to determine the influence of individual radiation sensitivity on GPA gene mutation frequency in medical diagnostic X-ray workers, and then the fitted equation of multiple linear regression was obtained. Results There was individual difference in radiation sensitivity among medical diagnostic X-ray workers, which is a factor influencing GPA gene mutation frequency. The stronger the individual radiation sensitivity, the higher the GPA gene mutation frequency. The correlation between GPA gene mutation frequency and radiation dose was strengthened after it was adjusted by the individual radiation sensitivity. The equation of multiple linear regression for GPA gene mutation frequency was obtained by the multiple factor analysis: Y=24.7×10-6+0.5×10-6X1-99.5×10-6X2+17×10-6X3, and the correlation coefficient r= 0.673. Conclusions The relationship between GPA N gene mutation frequency and cumulative dose is improved by adjustment for individual radiation sensitivity. The accumulative dose estimated by using the multiple linear regressions is approximate to the dose estimated by physical method, thus it decreases the uncertainty of estimating cumulative dose and forecasting cancer risk by using GPA gene mutation frequency.
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