XRCC1, XRCC3, XPD gene polymorphisms, smoking and 32P-DNA adducts in a sample of healthy subjects

Abstract

DNA repair genes have an important role in protecting individuals from cancer-causing agents. Polymorphisms in several DNA repair genes have been identified and individuals with non-dramatic reductions in the capacity to repair DNA damage are observed in the population, but the impact of specific genetic variants on repair phenotype and cancer risk has not yet been clarified. In 308 healthy Italian individuals belonging to the prospective European project EPIC, we have investigated the relationship between DNA damage, as measured by ³² P-DNA adduct levels, and three genetic polymorphisms in different repair genes: XRCC1 -Arg399Gln (exon 10), XRCC3 -Thr241Met (exon 7) and XPD -Lys751Gln (exon 23). DNA adduct levels were measured as relative adduct level (RAL) per 10 ⁹ normal nucleotides by DNA ³² P-post-labelling assay in white blood cells from peripheral blood. Genotyping was performed by PCR–RFLP analysis. The XRCC3 -241Met variant was significantly associated with higher DNA adduct levels, whereas XRCC1 -399Gln and XPD -751Gln were associated with higher DNA adduct levels only in never-smokers. XRCC3 -241Met homozygotes had an average DNA adduct level of 11.44 ± 1.48 (±SE) compared with 7.69 ± 0.88 in Thr/Met heterozygotes and 6.94 ± 1.11 in Thr/Thr homozygotes ( F = 3.206, P = 0.042). Never-smoking XRCC1 -399Gln homozygotes had an average DNA adduct level of 15.60 ± 5.42 compared with 6.16 ± 0.97 in Gln/Arg heterozygotes and 6.78 ± 1.10 in Arg/Arg homozygotes ( F = 5.237, P = 0.007). A significant odds ratio (3.81, 95% CI 1.02–14.16) to have DNA adduct levels above median value was observed for XPD -751Gln versus XPD -751Lys never-smoking homozygotes after adjustment for several confounders. These data show that all the analysed polymorphisms could result in deficient DNA repair and suggest a need for further investigation into the possible interactions between these polymorphisms, smoking and other risk factors.