title: The precision relationships between eight GWAS-identified genetic variants and breast cancer in a Chinese population.
abstract: Some of the new breast cancer susceptibility loci discovered in recent Genome-wide association studies (GWASs) have not been confirmed in Chinese populations. To determine whether eight novel Single-Nucleotide Polymorphisms (SNPs) have associations with breast cancer risk in women from southeast China, we conducted a case-control study of 1,156 breast cancer patients and 1,256 healthy controls. We first validated that the SNPs rs12922061, rs2290203, and rs2981578 were associated with overall breast cancer risk in southeast Chinese women, with the per-allele OR of 1.209 (95%CI: 1.064-1.372), 1.176 (95%CI: 1.048-1.320), and 0.852 (95%CI: 0.759-0.956), respectively. Rs12922061 and rs2290203 even passed the threshold for Bonferroni correction (P value: 0.00625). In stratified analysis, we found another three SNPs were significantly associated within different subgroups. However, after Bonferroni correction (P value: 0.000446), there were no statistically significant was observed. In gene-environment interaction analysis, we observed gene-environment interactions played a potential role of in the risk of breast cancer. These findings provide new insight into the associations between the genetic susceptibility and fine classifications of breast cancer. Based on these results, we encourage further large series studies and functional research to confirm these finding.
authors.affiliation: Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China.
authors.forename: Yazhen
authors.initials: Y
authors.lastname: Chen
authors.affiliation: Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China.
authors.forename: Fangmeng
authors.initials: F
authors.lastname: Fu
authors.affiliation: Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China.
authors.forename: Yuxiang
authors.initials: Y
authors.lastname: Lin
authors.affiliation: Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China.
authors.forename: Lin
authors.initials: L
authors.lastname: Qiu
authors.affiliation: Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China.
authors.forename: Minjun
authors.initials: M
authors.lastname: Lu
authors.affiliation: Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China.
authors.forename: Jiantang
authors.initials: J
authors.lastname: Zhang
authors.affiliation: Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Qiu
authors.affiliation: Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China.
authors.forename: Peidong
authors.initials: P
authors.lastname: Yang
authors.affiliation: Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China.
authors.forename: Na
authors.initials: N
authors.lastname: Wu
authors.affiliation: Fujian Center for Disease Control and Prevention, Fuzhou, Fujian Province, 350001, China.
authors.forename: Meng
authors.initials: M
authors.lastname: Huang
authors.affiliation: Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China.
authors.forename: Chuan
authors.initials: C
authors.lastname: Wang
mesh_terms: D000483:Alleles; D001943:Breast Neoplasms / Q000453:epidemiology / Q000235:genetics*; D016022:Case-Control Studies; D002681:China; D005260:Female; D020022:Genetic Predisposition to Disease; D014644:Genetic Variation; D055106:Genome-Wide Association Study; D005838:Genotype; D006801:Humans; D020641:Polymorphism, Single Nucleotide; D011159:Population Surveillance; D012307:Risk Factors
keywords: GWAS; SNP; breast cancer; gene-environment interaction analysis; stratified analysis