ACYP2 polymorphisms are associated with the risk of liver cancer in a Han Chinese population

We explored the association between single nucleotide polymorphisms (SNPs) in 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 SNPs and liver cancer risk...

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Veröffentlicht in:Oncotarget 2017-09, Vol.8 (40), p.67723-67731
Hauptverfasser: Chen, Zhong, Sun, Yu, Xu, Zhenxiong, Xu, Junnv, Li, Jingjie, Yan, Mengdan, Li, Jing, Jin, Tianbo, Lin, Haifeng
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Sprache:eng
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Zusammenfassung:We explored the association between single nucleotide polymorphisms (SNPs) in 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 SNPs and liver cancer risk. We found that rs6713088 (G allele: odds ratio [OR] = 1.27, 95% confidence interval [CI]: 1.07-1.52, = 0.007; GG vs. CC: OR = 1.49, 95% CI: 1.02-2.1, = 0.038), rs843711 (T allele: OR = 1.29, 95% CI: 1.09-1.54, = 0.004; TT vs. CC: OR = 1.62, 95% CI: 1.13-2.31, = 0.008), rs843706 (A allele: OR = 1.30, 95% CI: 1.09-1.55, = 0.003; AA vs. CC: OR = 1.62, 95% CI: 1.13-2.31, = 0.008), and rs843645 (GG vs. AG: OR = 1.40, 95% CI: 1.07-1.82, = 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, = 0.007; AT vs. TT: OR = 0.69, 95% CI: 0.53-0.91, = 0.007), rs843720 (additive model: OR = 0.82, 95% CI: 0.68-1.00, = 0.049), ATATCGCC and CG haplotypes (OR = 0.76, 95% CI: 0.62-0.92, = 0.006; OR = 0.78, 95% CI: 0.65-0.93, = 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.
ISSN:1949-2553
1949-2553
DOI:10.18632/oncotarget.18574