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端粒相关基因ACYP2多态性与中国汉族人群肺癌风险的关联

Association of polymorphisms in the telomere-related gene ACYP2 with lung cancer risk in the Chinese Han population.

作者信息

Chen Nanzheng, Yang Xiaomei, Guo Wen, You Jiangtao, Wu Qifei, Zhang Guangjian, Li Haijun, Geng Donghong, Jin Tianbo, Fu Junke, Zhang Yong

机构信息

Department of Thoracic Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, Shaanxi, China.

Hospital 521 of China's Ordnance Industry Group, Xi'an 710065, Shaanxi, China.

出版信息

Oncotarget. 2016 Dec 27;7(52):87473-87478. doi: 10.18632/oncotarget.13870.

Abstract

Single nucleotide polymorphisms (SNPs) in the telomere-associated gene ACYP2 are associated with increased lung cancer risk. We explored the correlation between ACYP2 SNPs and lung cancer susceptibility in the Chinese Han population. A total of 554 lung cancer patients and 603 healthy controls were included in this study. Thirteen SNPs in ACYP2 were selected. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using unconditional logistic regression analysis. Multivariate logistic regression analysis was used assess the correlation between SNPs and lung cancer. We found that rs1682111 was associated with increased lung cancer risk in the recessive model (crude, OR=1.50, 95%CI: 1.04-2.16, p=0.029; adjusted for age, OR=1.55, 95%CI: 1.04-2.30, p=0.029), as was rs11896604 in the codominant model (crude, OR=0.65, 95%CI: 0.33-1.28, p=0.045; adjusted for age, OR=0.74, 95%CI: 0.36-1.53, p=0.049) and over-dominant model (crude, OR=1.30, 95%CI: 1.02-1.66, p=0.032; adjusted for age, OR=1.37, 95%CI: 1.05-1.78, p=0.020). Finally, rs843720 was associated with increased lung cancer risk in the recessive model (crude, OR=1.43, 95%CI: 1.02-2.02, p=0.040; adjusted for age, OR=1.48, 95%CI: 1.02-2.15, p=0.040). Thus three SNPs in ACYP2 (rs1682111, rs11896604 and rs843720) associate with lung cancer in the Chinese Han population.

摘要

端粒相关基因ACYP2中的单核苷酸多态性(SNP)与肺癌风险增加相关。我们在中国汉族人群中探讨了ACYP2 SNP与肺癌易感性之间的相关性。本研究共纳入554例肺癌患者和603例健康对照。选择了ACYP2中的13个SNP。使用非条件逻辑回归分析计算比值比(OR)和95%置信区间(95%CI)。采用多变量逻辑回归分析评估SNP与肺癌之间的相关性。我们发现,rs1682111在隐性模型中与肺癌风险增加相关(粗OR=1.50,95%CI:1.04 - 2.16,p = 0.029;校正年龄后,OR=1.55,95%CI:1.04 - 2.30,p = 0.029),rs11896604在共显性模型中也是如此(粗OR=0.65,95%CI:0.33 - 1.28,p = 0.045;校正年龄后,OR=0.74,95%CI:0.36 - 1.53,p = 0.049)以及在超显性模型中(粗OR=1.30,95%CI:1.02 - 1.66,p = 0.032;校正年龄后,OR=1.37,95%CI:1.05 - 1.78,p = 0.020)。最后,rs843720在隐性模型中与肺癌风险增加相关(粗OR=1.43,95%CI:1.02 - 2.02,p = 0.040;校正年龄后,OR=1.48,95%CI:1.02 - 2.15,p = 0.040)。因此,ACYP2中的三个SNP(rs1682111、rs11896604和rs843720)与中国汉族人群的肺癌相关。

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