ATM Variants and Breast Cancer Risk in North Macedonia: Focus on the Regionally Enriched p.(Leu2492Arg) Variant.

BACKGROUND

Germline pathogenic variants (PVs) in the ataxia-telangiectasia mutated (ATM) gene are established moderate-risk factors for breast cancer (BC), however, population-specific variant spectra and the clinical significance of many missense variants remain incompletely characterized.

AIMS: To evaluate the prevalence of ATM variants in a large cohort of patients with BC from North Macedonia and compare it with that in the general population, with a particular focus on the frequency of the p.(Leu2492Arg) variant and its distribution relative to global genomic datasets.

STUDY

DESIGN

Retrospective case–control study.

METHODS

ATM variants were analyzed in 1,211 patients with BC from North Macedonia using a targeted hereditary cancer gene panel. These findings were compared with those from 1,303 population-based controls analyzed by clinical exome or whole-exome sequencing.

RESULTS

Pathogenic ATM variants were identified in 1.9% of BC cases and 0.4% of controls, indicating a significantly increased risk of BC [odds ratio (OR) = 5.02, p = 0.0006]. Most PVs were protein-truncating, with six recurrent variants accounting for over 70% of detections, suggesting regional enrichment. Carriers showed a significantly higher prevalence of human epidermal growth factor receptor 2-positive tumors (OR = 2.92, p = 0.0189). Variants of uncertain significance were observed at comparable frequencies in cases and controls. The p.(Leu2492Arg) missense variant was more frequently detected in cases than in controls (1.9% vs. 1.1%; OR = 1.78, p = 0.086) and exhibited a markedly higher allele frequency in this population than in global databases.

CONCLUSION

These findings confirm ATM as a clinically relevant BC susceptibility gene in North Macedonia and highlight the population-specific enrichment of both PVs and the p.(Leu2492Arg) missense variant. The results emphasize the importance of using population-matched controls and regional genomic data for accurate risk assessment and variant interpretation.