Previous studies showed that PHACTR1 and SLC22A3 are involved in coronary vascular development and are key determinants of cardiovascular disease risk. We conducted a case-control study to examine the effect of SLC22A3 and PHACTR1 single nucleotide polymorphisms (SNPs) on CAD risk among 376 male CAD patients and 388 male healthy controls from China. Eleven SLC22A3 and PHACTR1 SNPs were selected and genotyped using Sequenom Mass-ARRAY technology. Odds ratios (OR) and 95% confidence intervals (CIs) were calculated using unconditional logistic regression adjusting for age. The rs9381439 minor allele “A” (OR = 0.72; 95% CI = 0.54–0.96; p = 0.024) in an allelic model was associated with reduced CAD risk, as were the rs2048327 “C/C” (OR = 0.60; 95% CI: 0.37–0.97; p = 0.036) and rs1810126 “T/T” (OR = 0.58; 95% CI: 0.36–0.93; p = 0.024) genotypes. Likewise, the rs9349379 “A/G” genotype in a dominant model (p = 0.041), the rs1810126 “T/C” genotype in additive (p = 0.041) and recessive (p = 0.012) models, and the rs2048327 “C/T” genotype in a recessive model were associated with decreased CAD risk (p = 0.016). These results suggest several PHACTR1 and SLC22A3 polymorphisms are associated with decreased CAD risk in the male Chinese Han population.
Ischemic stroke is a complex vascular disease, which has become 1 of the major causes of morbidity and mortality worldwide. More and more data showed that matrix metalloproteinases (MMPs), in particular, MMP-2 are deleterious after ischaemic stroke. This study investigated the relationship between MMP-2 and stroke risk in the Southern Chinese population.We evaluated single nucleotide polymorphisms (SNP) of MMP-2 in stroke patients in an association study using a case-control design. Six SNPs of MMP2 were selected and genotyped by Agena MassARRAY. SNPStats, Haploview was used to analyze genetic data.Two SNPs in the MMP-2 gene were significantly associated with stroke risk.For rs1132896 (C versus G allele), the C allele was significantly reduced stroke risk (OR = 0.56, 95% confidence intervals [95% CI] = 0.39–0.81, P = .002). The effect of the T allele of rs243849 was IS risk according to an additive genetic model (OR = 0.67, 95% CI = 0.47–0.96, P = .028). We did not found any strong linkage between the six SNPs (rs1132896, rs1053605, rs243849, rs243847, rs243832, rs7201)The results presented strongly indicate that MMP-2 genetic variants are an important mediator of stroke risk.
The Epidermal Growth Factor Receptor gene has been reported to be involved in the progression of gliomas which is one of the deadliest primary brain tumors in humans. To determine potential association between EGFR and glioma risk, we performed a case-control study with 394 glioma patients and 298 cancer-free controls in which captured a total of 8 tag single nucleotide polymorphisms of EGFR gene from Xi’an, China. SPSS 19.0 statistical packages, χ2 test, genetic model analysis and SHEsis software platform were analyzed s the variants in EGFR gene associations with glioma risk. For five different inheritance models analyzed, the following genotypes were associated with increased glioma risk. In the codominant model, genotype CC (rs730437, OR = 1.93, p = 0.024; rs1468727, OR = 2.02, p = 0.007); In the dominant model, genotype CA and CC (rs730437, OR = 1.45, p = 0.026), genotype GA and AA (rs845552, OR = 1.40, p = 0.044); In the recessive model, genotype CC (rs730437, OR = 1.64, p = 0.026; rs1468727, OR = 1.87, p = 0.002); In the additive model, genotype CC (rs730437, OR = 1.32, p = 0.006; rs1468727, OR = 1.39, p = 0.005), genotype GG (rs11506105, OR = 1.32, p = 0.02) and genotype AA (rs845552, OR = 1.27, p = 0.04). Our study indicated that 8 mutants located in EGFR gene were risk-conferring factors, larger and different populations with EGFR polymorphisms are required to verify these associations.
We explored the association between single nucleotide polymorphisms (SNPs) in ACYP2 and liver cancer risk. Thirteen SNPs were genotyped in 473 cases and 564 controls. Genetic model, linkage disequilibrium, and haplotype analyses were performed to evaluate the association between ACPY2 SNPs and liver cancer risk. We found that rs6713088 (G allele: odds ratio [OR] = 1.27, 95% confidence interval [CI]: 1.07−1.52, P = 0.007; GG vs. CC: OR = 1.49, 95% CI: 1.02−2.1, P = 0.038), rs843711 (T allele: OR = 1.29, 95% CI: 1.09−1.54, P = 0.004; TT vs. CC: OR = 1.62, 95% CI: 1.13−2.31, P = 0.008), rs843706 (A allele: OR = 1.30, 95% CI: 1.09−1.55, P = 0.003; AA vs. CC: OR = 1.62, 95% CI: 1.13−2.31, P = 0.008), and rs843645 (GG vs. AG: OR = 1.40, 95% CI: 1.07−1.82, P = 0.014) were associated with an increased risk of liver cancer. In contrast, rs1682111 (A allele: OR = 0.77, 95% CI: 0.640−0.94, P = 0.007; AT vs. TT: OR = 0.69, 95% CI: 0.53−0.91, P = 0.007), rs843720 (additive model: OR = 0.82, 95% CI: 0.68−1.00, P = 0.049), ATATCGCC and CG haplotypes (OR = 0.76, 95% CI: 0.62−0.92, P = 0.006; OR = 0.78, 95% CI: 0.65−0.93, P = 0.006, respectively) were significantly decreased liver cancer risk. Our results confirmed that rs6713088, rs843645, rs843711 and rs843706 were significantly increased liver cancer risk, but rs1682111, rs843720 and haplotypes (ATATCGCC and CG) were significantly decreased liver cancer risk in a Han Chinese population.
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