Identifying association model for single-nucleotide polymorphisms of ORAI1 gene for breast cancer

Wei Chiao Chang, Yong Yuan Fang, Hsueh Wei Chang, Li Yeh Chuang, Yu Da Lin, Ming Feng Hou, Cheng Hong Yang

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Background: ORAI1 channels play an important role for breast cancer progression and metastasis. Previous studies indicated the strong correlation between breast cancer and individual single nucleotide polymorphisms (SNPs) of ORAI1 gene. However, the possible SNP-SNP interaction of ORAI1 gene was not investigated.Results: To develop the complex analyses of SNP-SNP interaction, we propose a genetic algorithm (GA) to detect the model of breast cancer association between five SNPs (rs12320939, rs12313273, rs7135617, rs6486795 and rs712853) of ORAI1 gene. For individual SNPs, the differences between case and control groups in five SNPs of ORAI1 gene were not significant. In contrast, GA-generated SNP models show that 2-SNP (rs12320939-GT/rs6486795-CT), 3-SNP (rs12320939-GT/rs12313273-TT/rs6486795-TC), 5-SNP (rs12320939-GG/rs12313273-TC/rs7135617-TT/rs6486795-TT/rs712853-TT) have higher risks for breast cancer in terms of odds ratio analysis (1.357, 1.689, and 13.148, respectively).Conclusion: Taken together, the cumulative effects of SNPs of ORAI1 gene in breast cancer association study were well demonstrated in terms of GA-generated SNP models.

Original languageEnglish
Article number29
JournalCancer Cell International
Volume14
Issue number1
DOIs
Publication statusPublished - Mar 31 2014

Keywords

  • Breast cancer
  • Genetic algorithm
  • Single nucleotide polymorphism
  • SNP interaction

ASJC Scopus subject areas

  • Cancer Research
  • Oncology
  • Genetics

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