Four common polymorphisms of BRIP1 (rs2048718, rs4988344, rs4986764, and rs6504074) and cancer risk: Evidence from 13,716 cancer patients and 15,590 cancer-free controls

  • Di Liu
  • , Yi Zheng
  • , Meng Wang
  • , Yujiao Deng
  • , Shuai Lin
  • , Linghui Zhou
  • , Pengtao Yang
  • , Cong Dai
  • , Peng Xu
  • , Qian Hao
  • , Dingli Song
  • , Huafeng Kang
  • , Zhijun Dai

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Previous studies have showed the associations between various BRCA1-interacting protein 1 (BRIP1) polymorphisms and cancer risk. But, these results were inconsistent. This meta-analysis based on 18 studies involving 13,716 cancer patients and 15,590 cancer-free controls is aimed at to evaluate the relationship between the four common SNPs of BRIP1 (rs2048718, rs4988344, rs4986764, and rs6504074) and cancer risk. The results showed a decreased risk of rs2048718 or rs4986764 for cervical cancer rather than breast cancer in the overall population (P < 0.05). However, rs6504074 was associated with gynecologic cancer risk among overall population (P < 0.05). Further stratification analyses by ethnicity indicated that all 4 polymorphisms (rs2048718, rs4988344, rs4986764, and rs6504074) were strongly related to cancer susceptibility in Chinese people (P < 0.05). This meta-analysis showed that rs6504074 may play a decreased risk of gynecologic cancer in the overall population. Rs4988344, rs4986764, and rs6504074 were significantly related to decreasing cancer risk in Chinese population.

Original languageEnglish
Pages (from-to)266-277
Number of pages12
JournalAging
Volume10
Issue number2
DOIs
StatePublished - 1 Feb 2018
Externally publishedYes

Keywords

  • BRIP1
  • Cancer risk
  • Meta-analysis
  • Polymorphism

Fingerprint

Dive into the research topics of 'Four common polymorphisms of BRIP1 (rs2048718, rs4988344, rs4986764, and rs6504074) and cancer risk: Evidence from 13,716 cancer patients and 15,590 cancer-free controls'. Together they form a unique fingerprint.

Cite this