Association analysis of telomere length related gene ACYP2 with the gastric cancer risk in the northwest Chinese Han population
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Jianhui Li1,2, Gang Ma1,2, Xulong Zhu1,2, Tianbo Jin3,4, Jianxiong Wang1,2, Cheng Li1,2
1Department of Surgical Oncology, Shaanxi Provincial People’s Hospital, Xi’an, Shaanxi 710068, China
2The Third Affiliated Hospital, the School of Medicine Xi’an Jiaotong University, Xi’an, Shaanxi 710068, China
3Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, College of Life Sciences, Northwest University, Xi’an, Shaanxi 710069, China
4Xi’an Tiangen Precision Medical Institute, Xi’an, Shaanxi 710075, China
Jianhui Li, email: firstname.lastname@example.org
Keywords: gastric cancer (GC), single-nucleotide polymorphisms (SNPs), ACYP2, telomere length, association analysis
Received: January 17, 2017 Accepted: March 02, 2017 Published: March 10, 2017
Gastric cancer (GC) is a complex multifactorial disease, and genetic factors are believed the predominant cause to the occurrence of GC. We sought to investigate the associations between single nucleotide polymorphisms (SNPs) in ACYP2 gene and the risk of GC in the Northwest Chinese Han population. We recruited 302 GC cases and 300 controls from northwest China and selected 13 SNPs from ACYP2 gene. SNPs were genotyped using Sequenom Mass-ARRAY technology. Odds ratios (ORs) and 95 % confidence intervals (CIs) were used to assess the association. Bonferroni’s multiple adjustment was applied to the level of significance, which was set at P < 0.00078 (0.05/65). We found that the minor alleles of rs6713088, rs11125529, rs12615793, rs843711, rs11896604, rs843706 and rs17045754 significantly stimulated the risk of GC, and homozygous alleles of above SNPs except rs6713088 were also found increasing the GC risk (P < 0.05). Under additive model and recessive model, rs11125529, rs12615793, rs843711, rs11896604, and rs17045754 also activated the risk of GC (P < 0.05). However, after Bonferroni’s multiple adjusted was applied to our data, no SNP in our study was significantly related to GC risk. Further results of haplotype analysis founds that the haplotypes “TTCTAATG” (rs1682111, rs843752, rs10439478, rs843645, rs11125529, rs12615793, rs843711, and rs11896604) and “AC” (rs843706 and rs17045754) were more frequency among patients with GC, on the contrary, the haplotypes “CG” had a protective role in the GC risk (P < 0.05). Our results indicate that ACYP2 polymorphisms may influence the GC risk and may serve as a new precursory biomarker in the northwest Chinese Han population.
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