Background: Single-nucleotide polymorphisms (SNPs) are important
indicators of susceptibility to breast cancer.
Objective: To assess the associations between SNPs in the FAM13A, PHLDB1, and
CYP24A1 gene and breast cancer risk in the Chinese Han population.
Methods: We performed a case-control study including 379 female breast cancer
patients and 407 female healthy controls. The three SNPs were genotyped using Agena
MassARRAY platform. The χ2 test was used to compare alleles and genotypes
frequencies of polymorphisms between case and control groups. Genetic models
analyses to assess the associations between SNPs and breast cancer risk by computing
odds ratios (ORs) and 95% confidence intervals (CIs) using logistic regression.
RegulomeDB and HaploReg databases were used to calculate possible functional
effects of polymorphisms.
Results: Overall analysis results showed that rs4809957 was associated with an
increased risk of breast cancer (allele A: OR = 1.27, 95% CI: 1.03-1.55, p = 0.024; AA
vs. GG: OR = 1.80, 95% CI: 1.15–2.82, p = 0.010; recessive model: OR = 1.70, 95% CI:
1.12–2.58, p = 0.012); and rs1059122 was found to be associated with a reduced breast
cancer risk in the recessive model (OR = 0.71, 95% CI: 0.51–0.98, p = 0.039).
Stratification analysis found significant associations between the three SNPs
(rs1059122, rs17748, and rs4809957) and breast cancer risk.
Conclusion: Our results suggested that rs1059122 (FAM13A), rs17748 (PHLDB1), and
rs4809957 (CYP24A1) might contribute to breast cancer susceptibility in the Chinese
Han population. Future studies with large samples are required to confirm our findings,
as well as functional studies are needed to explore their function in the breast cancer