Yin Jiaoyang, Wang Huiwen, Vogel Ulla, Wang Chunhong, Ma Yegang, Hou Wei, Zhang Ying, Guo Li, Li Xinxin
Key Laboratory of Environment and Population Health of Liaoning Education Ministry (Shenyang Medical College), Shenyang, Liaoning Province, People's Republic of China.
National Research Centre for The Working Environment, Lerso Parkalle, Copenhagen O, Denmark.
Oncotarget. 2016 Sep 20;7(38):60929-60939. doi: 10.18632/oncotarget.9279.
Linkage disequilibrium-mapping studies in Caucasians have indicated anassociation of Chr19q13.3 sub-region spanning ERCC2, PPP1R13L, CD3EAP and ERCC1 with several cancers. To refine the region of association and identify potential causal variations among Asians, we performed a fine-mapping study using 32 (39) SNPs in a 71.654kb sub-region. The study included 384 Chinese lung cancer cases and 387 controls. Seven closely situated SNPs showed significant associations with lung cancer risk in five different genetic models of single-locus associations (adjusted for smoking duration). These were PPP1R13L rs1970764 [OR (95% CI) = 1.58 (1.09-2.29), P = 0.014] in a recessive model and PPP1R13L rs1005165 [OR (95% CI) = 1.25 (1.01-1.54), P = 0.036], CD3EAP rs967591 [OR (95% CI) = 1.40 (1.13-1.75), P = 0.0023], rs735482 [OR (95% CI) = 1.29 (1.03-1.61), P = 0.026], rs1007616 [OR (95% CI) = 0.78 (0.61-1.00), P = 0.046], and rs62109563 [OR (95% CI) = 1.28 (1.03-1.59), P = 0.024] in a log-additive model and ERCC1 rs3212965 [OR (95% CI) = 0.70 (0.52-0.94), P = 0.019] in an over-dominant model. Six-haplotype blocks were determined in the sub-region. Using an alternative approach where we performed a haplotype analysis of all significant polymorphisms, rs1970764 was found to be most consistently associated with lung cancer risk. The combined data suggest that the sub-region with the strongest association to lung cancer susceptibility might locate to the 23.173kb from PPP1R13L intron8 rs1970764 to rs62109563 3' to CD3EAP. Limited risk loci and span on lung cancer in this sub-region are initially defined among Asians.
针对高加索人的连锁不平衡图谱研究表明,19号染色体q13.3亚区域(涵盖ERCC2、PPP1R13L、CD3EAP和ERCC1)与多种癌症相关。为了细化关联区域并确定亚洲人中潜在的因果变异,我们在一个71.654kb的亚区域使用32个(39个)单核苷酸多态性(SNP)进行了精细定位研究。该研究纳入了384例中国肺癌病例和387例对照。在单基因座关联的五种不同遗传模型中(根据吸烟时长进行校正),七个紧密相邻的SNP与肺癌风险显著相关。这些包括隐性模型中的PPP1R13L rs1970764 [比值比(95%置信区间)= 1.58(1.09 - 2.29),P = 0.014],对数加性模型中的PPP1R13L rs1005165 [比值比(95%置信区间)= 1.25(1.01 - 1.54),P = 0.036]、CD3EAP rs967591 [比值比(95%置信区间)= 1.40(1.13 - 1.75),P = 0.0023]、rs735482 [比值比(95%置信区间)= 1.29(1.03 - 1.61),P = 0.026]、rs1007616 [比值比(95%置信区间)= 0.78(0.61 - 1.00),P = 0.046]和rs62109563 [比值比(95%置信区间)= 1.28(1.03 - 1.59),P = 0.024],以及超显性模型中的ERCC1 rs3212965 [比值比(95%置信区间)= 0.70(0.52 - 0.94),P = 0.019]。在该亚区域确定了六个单倍型块。使用另一种方法,即对所有显著多态性进行单倍型分析,发现rs1970764与肺癌风险最一致相关。综合数据表明,与肺癌易感性关联最强的亚区域可能位于从PPP1R13L内含子8的rs1970764到CD3EAP下游3'端的rs62109563的23.173kb区域。在亚洲人中初步确定了该亚区域有限的肺癌风险位点及其范围。