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全基因组关联研究(GWAS)鉴定的单核苷酸多态性与印度人群乳腺癌风险的关联。

Association of Genome-Wide Association Study (GWAS) Identified SNPs and Risk of Breast Cancer in an Indian Population.

机构信息

Centre for Cancer Epidemiology, Tata Memorial Centre, Mumbai, India.

Division of Cancer Epidemiology &Genetics, National Cancer Institute, Bethesda, USA.

出版信息

Sci Rep. 2017 Jan 18;7:40963. doi: 10.1038/srep40963.

Abstract

To date, no studies have investigated the association of the GWAS-identified SNPs with BC risk in Indian population. We investigated the association of 30 previously reported and replicated BC susceptibility SNPs in 1,204 cases and 1,212 controls from a hospital based case-control study conducted at the Tata Memorial Hospital, Mumbai. As a measure of total susceptibility burden, the polygenic risk score (PRS) for each individual was defined by the weighted sum of genotypes from 21 independent SNPs with weights derived from previously published estimates of association odds-ratios. Logistic regression models were used to assess risk associated with individual SNPs and overall PRS, and stratified by menopausal and receptor status. A total of 11 SNPs from eight genomic regions (FGFR2, 9q31.2, MAP3K, CCND1, ZM1Z1, RAD51L11, ESR1 and UST) showed statistically significant (p-value ≤ 0.05) evidence of association, either overall or when stratified by menopausal status or hormone receptor status. BC SNPs previously identified in Caucasian population showed evidence of replication in the Indian population mainly with respect to risk of postmenopausal and hormone receptor positive BC.

摘要

迄今为止,尚无研究调查 GWAS 确定的 SNP 与印度人群中 BC 风险之间的关联。我们调查了 30 个先前报道并在孟买塔塔纪念医院进行的基于医院的病例对照研究中在 1204 例病例和 1212 例对照中复制的 BC 易感性 SNP 与风险之间的关联。作为总体易感性负担的衡量标准,每个个体的多基因风险评分(PRS)由 21 个独立 SNP 的基因型加权和定义,权重来自先前发表的关联优势比的估计值。使用逻辑回归模型评估与个体 SNP 和总体 PRS 相关的风险,并按绝经和受体状态分层。来自八个基因组区域(FGFR2、9q31.2、MAP3K、CCND1、ZM1Z1、RAD51L11、ESR1 和 UST)的 11 个 SNP 显示出与总体或按绝经状态或激素受体状态分层时的关联具有统计学意义(p 值≤0.05)。先前在白种人群中确定的 BC SNP 在印度人群中显示出复制的证据,主要是针对绝经后和激素受体阳性 BC 的风险。

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