Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1782312690736168960 |
---|---|
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. |
format | Online Article Text |
id | pubmed-3994227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT changweichiao identifyingassociationmodelforsinglenucleotidepolymorphismsoforai1geneforbreastcancer AT fangyongyuan identifyingassociationmodelforsinglenucleotidepolymorphismsoforai1geneforbreastcancer AT changhsuehwei identifyingassociationmodelforsinglenucleotidepolymorphismsoforai1geneforbreastcancer AT chuangliyeh identifyingassociationmodelforsinglenucleotidepolymorphismsoforai1geneforbreastcancer AT linyuda identifyingassociationmodelforsinglenucleotidepolymorphismsoforai1geneforbreastcancer AT houmingfeng identifyingassociationmodelforsinglenucleotidepolymorphismsoforai1geneforbreastcancer AT yangchenghong identifyingassociationmodelforsinglenucleotidepolymorphismsoforai1geneforbreastcancer |