AI Article Synopsis

  • - The study aimed to clarify the potential link between personal radiation exposure history and the risk of developing breast cancer using Mendelian randomisation (MR) analysis, which helps address confounding factors often present in epidemiological studies.
  • - Researchers selected 102 single nucleotide polymorphisms (SNPs) related to radiation exposure and employed several analysis methods to ensure reliable results, including tests for pleiotropy and heterogeneity.
  • - The results consistently showed a significant positive correlation, indicating that personal radiation exposure increases the risk of breast cancer, with odds ratios around 1.52 across different datasets, confirming the association at a genetic level.

Article Abstract

Background: Studies on the relationship between personal history of irradiation and breast cancer have been reported for a long time. Still, epidemiological studies have not been conclusive, and the causal relationship is unclear. To address this issue, we employed Mendelian randomisation (MR) analysis to examine the association between individual radiation exposure history and breast cancer.

Methods: We used a series of quality control methods to select single nucleotide polymorphism (SNP) closely related to exposure. Meanwhile, several analysis methods were used to analyse the sample data to make the conclusion more reliable. To evaluate the horizontal pleiotropy, heterogeneity and stability of SNPs for breast cancer, the MR-Egger intercept test, Cochran's Q test and 'leave one' sensitivity analysis were used. Finally, the outlier variation determined by the Mendelian Randomisation Pleiotropy RESidual Sum and Outlier test is gradually eliminated to reduce the influence of heterogeneity and horizontal pleiotropy.

Results: After implementing rigorous quality control procedures, we carefully chose 102 qualified instrumental variables closely associated with the selected exposure for sensitivity analysis. This was conducted to evaluate the heterogeneity, level multiplicity, and stability of SNPs in the context of personal radiation history and its correlation with breast cancer. The results of the inverse variance weighted method analysis revealed a positive correlation between personal radiation and a heightened risk of breast cancer (odds ratio (OR) = 1.52; 95% confidence interval (CI) = 1.30-1.77). We also validated on another data set; the results were similar (OR = 1.51; 95% CI = 1.27-1.81). Furthermore, the findings from the sensitivity analysis were consistent. At the genetic level, our research demonstrated that personal radiation exposure is associated with an elevated risk of breast cancer.

Conclusions: Using genetic data provides evidence and strengthens the causal link that personal radiation causes breast cancer.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11467774PMC
http://dx.doi.org/10.7189/jogh.14.04106DOI Listing

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