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Combinational polymorphisms of seven CXCL12-related genes are protective against breast cancer in Taiwan.

Authors :
Lin GT
Tseng HF
Yang CH
Hou MF
Chuang LY
Tai HT
Tai MH
Cheng YH
Wen CH
Liu CS
Huang CJ
Wang CL
Chang HW
Source :
Omics : a journal of integrative biology [OMICS] 2009 Apr; Vol. 13 (2), pp. 165-72.
Publication Year :
2009

Abstract

Many single nucleotide polymorphisms (SNPs) have been found to be associated with breast cancer, but their SNP interactions are seldom addressed. In this study, we focused on the joint effect for SNP combinations of seven CXCL12-related genes involved in major cancer-related pathways. SNP genotyping was determined by PCR-restriction fragment length polymorphism (RFLP) in this study (case = 220, control = 334). Different numbers of combinational SNPs with genotypes called the SNP barcodes from different chromosomes were used to evaluate their joint effect on breast cancer risk. Except for vascular endothelial growth factor (VEGF) rs3025039-CT, none of these SNPs were found to individually contribute to breast cancer risk. However, for two combined SNPs, the proportion of subjects with breast cancer was significantly low in the SNP barcode with CC-GG genotypes in rs2228014-1801157 (CXCR4-CXCL12) compared to those with non-CC-GG genotypes. Similarly, the SNP barcode of rs12812942-rs2228014-rs3025039 (CD4-CXCR4-VEGF) and rs12812942-rs3136685-rs2228014-rs1801157 (CD4- CCR7-CXCR4-CXCL12) with specific genotype patterns (AT-CC-CC and AT-AG-CC-GG) among three and four combinational SNPs were significantly low in breast cancer occurrence. More SNP combinations larger than five SNPs were also addressed, and these showed similar effects. After controlling for age, and comparing their corresponding non-SNP barcodes, the estimated odds ratios for breast cancer ranged between 0.20 and 0.71 for specific SNP barcodes with two to seven SNPs. In conclusion, we have associated the potential combined CXCL12-related SNPs with genotypes that were protective against breast cancer, and that may contribute to identification of a low-risk population for the development of breast cancer.

Details

Language :
English
ISSN :
1557-8100
Volume :
13
Issue :
2
Database :
MEDLINE
Journal :
Omics : a journal of integrative biology
Publication Type :
Academic Journal
Accession number :
19196101
Full Text :
https://doi.org/10.1089/omi.2008.0050