Inefficient mitochondrial electron transport chain (ETC) function has been implicated in the vicious cycle of reactive oxygen species (ROS) production that may predispose an individual to late onset diseases, such as diabetes, hypertension, and cancer. Mitochondrial DNA (mtDNA) variations may affect the efficiency of ETC and ROS production, thus contributing to cancer risk. To test this hypothesis, we genotyped 69 mtDNA variations in 156 unrelated EuropeanAmerican females with familial breast cancer and 260 agematched European-American female controls. Fisher's exact test was done for each single-nucleotide polymorphism (SNP)/ haplogroup and the P values were adjusted for multiple testing using permutation. Odds ratio (OR) and its 95% confidence interval (95% CI) were calculated using the Sheehe correction. Among the 69 variations, 29 were detected in the study subjects. Three SNPs, G9055A (OR, 3.03; 95% CI, 1.63-5.63; P = 0.0004, adjusted P = 0.0057), A10398G (OR, 1.79; 95% CI, 1.14-2.81; P = 0.01, adjusted P = 0.19), and T16519C (OR, 1.98; 95% CI, 1.25-3.12; P = 0.0030, adjusted P = 0.0366), were found to increase breast cancer risk; whereas T3197C (OR, 0.31; 95% CI, 0.13-0.75; P = 0.0043, adjusted P = 0.0526) and G13708A (OR, 0.47; 95% CI, 0.24-0.92; P = 0.022, adjusted P = 0.267) were found to decrease breast cancer risk. Overall, individuals classified as haplogroup K show a significant increase in the risk of developing breast cancer (OR, 3.03; 95% CI, 1.63-5.63; P = 0.0004, adjusted P = 0.0057), whereas individuals bearing haplogroup U have a significant decrease in breast cancer risk (OR, 0.37; 95% CI, 0.19-0.73; P = 0.0023, adjusted P = 0.03). Our results suggest that mitochondrial genetic background plays a role in modifying an individual's risk to breast cancer. [Cancer Res 2007;67(10):4687-94]

Interactions between mitochondrial deoxyribonucleic acid (mtDNA) variants and the risk of developing breast cancer were investigated using DNA samples collected from non-Jewish European American breast cancer patients and ethnically age-matched female controls. Logistic regression was used to evaluate two-way interactions between 17 mtDNA variants. To control for multiple testing, empirical P values were calculated using permutation. Odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were calculated to measure the contribution of variants in modifying the risk of developing breast cancer. A highly significant interaction was identified between variants 12308G and 10398G (empirical P value = 0.0028), with results suggesting these variants increase the risk of a woman developing breast cancer (OR = 3.03; 95% CI 1.53-6.11). Nominal significant P values were also observed for interactions between mtDNA variants 709A and 16189C; 4216C and 10398G; 4216C and 16189C; 10398G and 16159C; 13368A and 16189C; and 14766T and 16519C. However, after adjusting for multiple testing, the P values did not remain significant. Although it is important to elucidate the main effect of mtDNA variants on the risk of developing breast cancer, understanding gene 9 gene interactions will give a greater knowledge of disease etiology and aid in interpreting a woman's risk of developing breast cancer.

Objective: Atherogenic dyslipidemia is highly associated with coronary heart disease and is characterized by elevated triglycerides (TG), low high-density lipoprotein cholesterol (HDL-C), and elevated low-density lipoprotein cholesterol (LDL-C). The combination of statins and fibrates is a common modality to treat individuals with atherogenic dyslipidemia. We sought to identify single nucleotide polymorphisms (SNPs) associated with HDL-C, TG, and apolipoprotein A1 (ApoA-I) response to combination therapy with statins and fenofibric acid (FA) in individuals with atherogenic dyslipidemia. Methods: 2228 individuals with mixed dyslipidemia who were participating in a multicenter, randomized, double-blind, active-controlled study comparing FA alone, in combination with a statin, or statin alone for a 12-week period, were genotyped for 304 candidate SNPs. A multivariate linear regression analysis for percent change in HDL-C, ApoA-I and TG levels was performed. Results: SNPs in the apolipoprotein (APO) A5-ZNF259 region rs3741298 (P = 1.8 × 10−7), rs964184 (P = 3.6 × 10−6), rs651821 (P = 4.5 × 10−5), and rs10750097 (P = 1 × 10−4), were significantly associated with HDL-C response to combination therapy with statins and FA, with a similar association identified for ApoA-I. A haplotype composed of the minor alleles of SNPs rs3741298, rs964184, and rs10750097, was associated with a positive response to statins and FA (P = 8.7 × 10−7) and had a frequency of 18% in the study population. Conclusion: In a population with atherogenic dyslipidemia, common SNPs and haplotypes within the APOA5-ZNF259 region are highly associated with HDL-C and ApoA-I response to combination therapy with statins and FA.