Polymorphism of lncRNAs in breast cancer: Meta-analysis shows no association with susceptibility

J Gene Med. 2020 Dec;22(12):e3271. doi: 10.1002/jgm.3271. Epub 2020 Oct 12.

Abstract

Background: Long non-coding RNAs (lncRNAs) have been the target of considerable attention for their roles in many biological processes. Only a small portion of lncRNAs are functionally characterized, and several approaches have been proposed for investigating the roles of these molecules, including how polymorphisms in lncRNA genomic sites may interfere with their function. Allele frequency variation in single nucleotide polymorphisms (SNPs), for example, has been associated with several diseases, including breast cancer (BC), the most common type of cancer in women.

Methods: In the present study, we performed a systematic review of lncRNA SNPs associated with BC and a meta-analysis of some lncRNA SNPs. We found 31 SNPs mapped in 12 lncRNAs associated with BC in 28 case-control studies.

Results: Our meta-analysis showed an insignificant difference between the SNPs rs217727, rs3741219, rs2107425 and rs2839698 on H19, as well as rs920778, rs1899663, rs12826786 and rs4759314 on HOTAIR, and BC susceptibility.

Conclusions: The present analysis recognized the importance of extensive association studies, including different populations, and further evaluation of potential functional effects caused by lncRNA SNPs. Nevertheless, genetic variants such as SNPs in lncRNAs may play many other essential roles, although this field is still under explored.

Keywords: H19; HOTAIR; SNP; breast cancer; lncRNA.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Breast Neoplasms / genetics
  • Breast Neoplasms / pathology*
  • Female
  • Gene Frequency
  • Genetic Association Studies
  • Genetic Predisposition to Disease*
  • Humans
  • Polymorphism, Single Nucleotide*
  • RNA, Long Noncoding / genetics*

Substances

  • RNA, Long Noncoding