The CYP17A1 -34T > C polymorphism and breast cancer risk in BRCA1 and BRCA2 mutation carriers

Urinary bisphenol A and its interaction with CYP17A1 rs743572 are associated with breast cancer risk

OBJECTIVE

Bisphenol A (BPA), a common endocrine disrupter, can be activated by cytochrome P450 (CYP) metabolizing enzymes and might influence the development of breast cancer (BC). We hypothesized that BPA could interact with CYP genes, synergistically contributing to the BC risk.

METHODS

Urinary BPA was measured in a total of 302 newly diagnosed BC patients and 302 healthy controls by ultra-high performance liquid chromatography-high resolution mass spectrometry. A set of seven CYP gene polymorphisms was genotyped by using the Sequenom MassARRAY system. A multivariate logistic regression model was used to assess the associations of BPA and BPA-SNP interaction with BC risk.

RESULTS

BC patients had a higher urinary BPA concentration than healthy individuals (P < 0.001). Each 1-unit increase in log-transformed urinary BPA was associated with a 54 % increased BC risk [95 % confidence interval (CI), 1.34-1.77, P < 0.001]. Individuals with the CYP19A1 rs1902580 GA + AA genotype showed a significantly higher BC risk than those with the GG genotype (OR = 1.45, 95 % CI, 1.01-2.09, P < 0.05). A significant BPA-CYP17A1 rs743572 interaction was found to be associated with a higher risk of BC (P_interaction = 0.020). Compared with low-BPA individuals carrying CYP17A1 rs743572 GG genotypes, high-BPA individuals with the GA + AA genotype had a higher BC risk, with an odds ratio of 2.49 (95 % CI, 1.52-4.13, P < 0.05).

CONCLUSIONS

The positive association of BPA exposure with BC risk might be modified by CYP17A1 rs743572, providing evidence for the interaction effect of environment-genes on the etiology of BC.

Association between CYP17 T-34C rs743572 and breast cancer risk

Association between CYP17 T-34C (rs743572) polymorphism and breast cancer (BC) risk was controversial. In order to derive a more definitive conclusion, we performed this meta-analysis. We searched in the databases of PubMed, EMBASE and Cochrane for eligible publications. Pooled odds ratios (ORs) with 95% confidence intervals (95% CIs) were used to assess the strength of association between CYP17 T-34C polymorphism and breast cancer risk. Forty-nine studies involving 2,7104 cases and 3,4218 control subjects were included in this meta-analysis. In overall, no significant association between CYP17 T-34C polymorphism and breast cancer susceptibility was found among general populations. In the stratified analysis by ethnicity and source, significant associations were still not detected in all genetic models; besides, limiting the analysis to studies with controls in agreement with HWE, we also observed no association between CYP17 T-34C polymorphism and breast cancer risk. For premenopausal women, we didn't detect an association between rs743572 and breast cancer risk; however, among postmenopausal women, we observed that the association was statistically significant under the allele contrast genetic model (OR = 1.10, 95% CI = 1.03-1.17, P = 0.003), but not in other four models. In conclusion, rs743572 may increase breast cancer risk in postmenopausal individuals, but not in premenopausal folks and general populations.

A false single nucleotide polymorphism generated by gene duplication compromises meat traceability

Controlling meat traceability using SNPs is an effective method of ensuring food safety. We have analyzed several SNPs to create a panel for bovine genetic identification and traceability studies. One of these was the transversion g.329C>T (Genbank accession no. AJ496781) on the cytochrome P450 17A1 gene, which has been included in previously published panels. Using minisequencing reactions, we have tested 701 samples belonging to eight Spanish cattle breeds. Surprisingly, an excess of heterozygotes was detected, implying an extreme departure from Hardy-Weinberg equilibrium (P<0.001). By alignment analysis and sequencing, we detected that the g.329C>T SNP is a false positive polymorphism, which allows us to explain the inflated heterozygotic value. We recommend that this ambiguous SNP, as well as other polymorphisms located in this region, should not be used in identification, traceability or disease association studies. Annotation of these false SNPs should improve association studies and avoid misinterpretations.