The Combinational Polymorphisms ofORAI1Gene Are Associated with Preventive Models of Breast Cancer in the Taiwanese-Reference-Cited by-同舟云学术

The Combinational Polymorphisms ofORAI1Gene Are Associated with Preventive Models of Breast Cancer in the Taiwanese

Published:2015 Issue: Volume:2015 Page:1-7
ISSN:2314-6133
Container-title:BioMed Research International
language:en
Short-container-title:BioMed Research International

Author:

Ou-Yang Fu¹²³⁴,Lin Yu-Da⁵,Chuang Li-Yeh⁶,Chang Hsueh-Wei²⁷⁸⁹,Yang Cheng-Hong⁵,Hou Ming-Feng²³⁴¹⁰¹¹

Affiliation:

1. Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan

2. Cancer Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80708, Taiwan

3. Institute of Clinical Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan

4. Department of Surgery, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan

5. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung 80778, Taiwan

6. Department of Chemical Engineering & Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung 84001, Taiwan

7. Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung 80424, Taiwan

8. Research Center of Environmental Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan

9. Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung 80708, Taiwan

10. National Sun Yat-Sen University-Kaohsiung Medical University Joint Research Center, Kaohsiung 80424, Taiwan

11. Department of Biological Science and Technology, National Chiao Tung University, Hsinchu 30010, Taiwan

Abstract

The ORAI calcium release-activated calcium modulator 1 (ORAI1) has been proven to be an important gene for breast cancer progression and metastasis. However, the protective association model between the single nucleotide polymorphisms (SNPs) ofORAI1gene was not investigated. Based on a published data set of 345 female breast cancer patients and 290 female controls, we used a particle swarm optimization (PSO) algorithm to identify the possible protective models of breast cancer association in terms of the SNPs ofORAI1gene. Results showed that the PSO-generated models of 2-SNP (rs12320939-TT/rs12313273-CC), 3-SNP (rs12320939-TT/rs12313273-CC/rs712853-(TT/TC)), 4-SNP (rs12320939-TT/rs12313273-CC/rs7135617-(GG/GT)/rs712853-(TT/TC)), and 5-SNP (rs12320939-TT/rs12313273-CC/rs7135617-(GG/GT)/rs6486795-CC/rs712853-(TT/TC)) displayed low values of odds ratios (0.409–0.425) for breast cancer association. Taken together, these results suggested that our proposed PSO strategy is powerful to identify the combinational SNPs of rs12320939, rs12313273, rs7135617, rs6486795, and rs712853 ofORAI1gene with a strongly protective association in breast cancer.

Funder

Ministry of Science and Technology, Taiwan

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

Link

http://downloads.hindawi.com/journals/bmri/2015/281263.pdf

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