The association between phospholipase C epsilon gene (PLCE1) polymorphisms and colorectal cancer risk in a Chinese Han population: a case-control study

磷脂酶C epsilon基因(PLCE1)多态性与中国汉族人群结直肠癌风险的关联性:病例对照研究

阅读:5
作者:Yongwang Zhang, Yanwei Gong, Shuli Du, Mengdan Yan, Tingting Geng, Tian Feng, Jianrui Wang, Tianbo Jin

Background

Heritable factors contribute to the development of colorectal cancer (CRC). We investigated the association between single nucleotide polymorphisms in phospholipase C epsilon 1 (PLCE1) and CRC susceptibility.

Conclusions

Our results suggest that PLCE1 may be associated with CRC in Han Chinese population.

Methods

We selected eight tag single nucleotide polymorphisms (tSNPs) and investigated whether they were associated with CRC in Chinese Han population. In this study, we used Sequenom MassARRAY technology and genotyped 276 CRC cases and 385 controls. The effects of the polymorphisms on the risk of CRC were expressed as odds ratios (ORs) with 95% confidence intervals (95% CIs), evaluated by different genetic models using unconditional logistic regression analysis adjusted for age and gender. We also analyzed the risk of the eight PLCE1 tSNPs in different histology of CRC.

Results

Based on x(2) tests, rs753724 (OR = 1.49, 95% CI: 1.10-2.03, P = 0.010) and rs10882424 (OR = 1.32, 95% CI: 1.02-1.70, P = 0.037) in PLCE1 were associated with CRC. In genetic model analyses, we found that rs753724 in PLCE1 may increase CRC risk (OR = 1.48, 95% CI: 1.09-2.03, P = 0.013) in the log-additive model, and rs11187842 in PLCE1 may increase CRC risk (OR = 3.09, 95% CI: 1.17-8.14, P = 0.018) in the recessive model. Rs753724 TT (OR = 4.31, P = 0.010), rs11187842 TT (OR = 5.78, P = 0.003), and rs10882424 GG (OR = 2.64, P = 0.022) in PLCE1 may increase rectal cancer in a recessive model. Conclusions: Our results suggest that PLCE1 may be associated with CRC in Han Chinese population.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。