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

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...

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Autores principales: Chang, Wei-Chiao, Fang, Yong-Yuan, Chang, Hsueh-Wei, Chuang, Li-Yeh, Lin, Yu-Da, Hou, Ming-Feng, Yang, Cheng-Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3994227/
https://www.ncbi.nlm.nih.gov/pubmed/24685237
http://dx.doi.org/10.1186/1475-2867-14-29
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author Chang, Wei-Chiao
Fang, Yong-Yuan
Chang, Hsueh-Wei
Chuang, Li-Yeh
Lin, Yu-Da
Hou, Ming-Feng
Yang, Cheng-Hong
author_facet Chang, Wei-Chiao
Fang, Yong-Yuan
Chang, Hsueh-Wei
Chuang, Li-Yeh
Lin, Yu-Da
Hou, Ming-Feng
Yang, Cheng-Hong
author_sort Chang, Wei-Chiao
collection PubMed
description 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.
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spelling pubmed-39942272014-05-06 Identifying association model for single-nucleotide polymorphisms of ORAI1 gene for breast cancer Chang, Wei-Chiao Fang, Yong-Yuan Chang, Hsueh-Wei Chuang, Li-Yeh Lin, Yu-Da Hou, Ming-Feng Yang, Cheng-Hong Cancer Cell Int Primary Research 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. BioMed Central 2014-03-31 /pmc/articles/PMC3994227/ /pubmed/24685237 http://dx.doi.org/10.1186/1475-2867-14-29 Text en Copyright © 2014 Chang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Primary Research
Chang, Wei-Chiao
Fang, Yong-Yuan
Chang, Hsueh-Wei
Chuang, Li-Yeh
Lin, Yu-Da
Hou, Ming-Feng
Yang, Cheng-Hong
Identifying association model for single-nucleotide polymorphisms of ORAI1 gene for breast cancer
title Identifying association model for single-nucleotide polymorphisms of ORAI1 gene for breast cancer
title_full Identifying association model for single-nucleotide polymorphisms of ORAI1 gene for breast cancer
title_fullStr Identifying association model for single-nucleotide polymorphisms of ORAI1 gene for breast cancer
title_full_unstemmed Identifying association model for single-nucleotide polymorphisms of ORAI1 gene for breast cancer
title_short Identifying association model for single-nucleotide polymorphisms of ORAI1 gene for breast cancer
title_sort identifying association model for single-nucleotide polymorphisms of orai1 gene for breast cancer
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3994227/
https://www.ncbi.nlm.nih.gov/pubmed/24685237
http://dx.doi.org/10.1186/1475-2867-14-29
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