z-logo
open-access-imgOpen Access
Investigation on the role of XPG gene polymorphisms in breast cancer risk in a Chinese population
Author(s) -
Shaohua Ma,
Feng Ling,
YingJi Sun,
Suyi Chen,
Zhiyong Li
Publication year - 2016
Publication title -
genetics and molecular research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 48
ISSN - 1676-5680
DOI - 10.4238/gmr.15028066
Subject(s) - breast cancer , genotyping , genotype , logistic regression , confounding , gene , oncology , biology , genetics , medicine , cancer
We conducted a case-control study to investigate the role of XPG gene polymorphisms (rs2094258, rs751402, and rs17655) in the development of breast cancer. Patients with breast cancer (320) and control subjects (294) were consecutively selected from the Zhongshan Hospital between April 2013 and January 2015. The genotyping of XPG rs2094258, rs751402, and rs17655 was performed using polymerase chain reaction-restriction fragment length polymorphism. Using the chi-square test, we did not find any significant differences in the genotype distributions of XPG rs2094258 (χ(2) = 1.48, P = 0.48), rs751402 (χ(2) = 0.65, P = 0.72), and rs17655 (χ(2) = 0.01, P = 0.92) genes between breast cancer patients and control subjects. The genotype distributions of XPG rs2094258, rs751402, and rs17655 did not deviate from the Hardy-Weinberg equilibrium in control subjects, and the P values were 0.58, 0.97, and 0.26, respectively. Using unconditional logistic regression analysis, we found that XPG rs2094258, rs751402 and rs17655 gene polymorphisms are not associated with the development of breast cancer after adjusting for potential confounding factors. In conclusion, we found that XPG rs2094258, rs751402, and rs17655 do not influence the development of breast cancer in a Chinese population.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom