Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
School of Public Health, Zunyi Medical University, Zunyi, Guizhou, China.
Mol Carcinog. 2018 Dec;57(12):1845-1854. doi: 10.1002/mc.22902. Epub 2018 Sep 19.
Despite the successes of genome-wide association study (GWAS) in identifying breast cancer (BC) risk-associated variants, only a small fraction of the heritability can be explained. The greatest challenge in the post-GWAS is to identify causal variants and underlying mechanisms responsible for BC susceptibility. In this study, we integrated functional genomic data from ENCODE ChIP-seq, ANNOVAR, and the TRANSFAC matrix to identify potentially regulatory variants with modulating FOXA1-binding affinity across the whole genome, and then conducted a two-stage case-control study including 2164 cases and 2382 controls to investigate the associations between candidate SNPs and BC susceptibility. We identified a BC susceptibility SNP, rs6506689 G>T, with an odds ratio (OR) of 1.23 (95% confidence interval = 1.07-1.40, P = 0.003) under a dominant model in the combined study. Biological assays indicated that the germline G>T variation at rs6506689 creates a FOXA1-binding site and up-regulates the expression of RAB31, thus playing an important role in the development of BC. Our results highlight the importance of regulatory genetic variants in the development of BC by influencing TF-DNA interaction and provide critical insights to pinpoint causal genetic variants.
尽管全基因组关联研究 (GWAS) 在鉴定乳腺癌 (BC) 风险相关变异方面取得了成功,但仍有一小部分遗传率无法解释。GWAS 之后最大的挑战是确定导致 BC 易感性的因果变异和潜在机制。在这项研究中,我们整合了 ENCODE ChIP-seq、ANNOVAR 和 TRANSFAC 矩阵的功能基因组数据,以识别在整个基因组中具有调节 FOXA1 结合亲和力的潜在调节变异体,然后进行了两阶段病例对照研究,包括 2164 例病例和 2382 例对照,以研究候选 SNP 与 BC 易感性之间的关联。我们鉴定了一个 BC 易感性 SNP,rs6506689 G>T,在联合研究中,显性模型下的优势比 (OR) 为 1.23(95%置信区间为 1.07-1.40,P=0.003)。生物测定表明,rs6506689 处的种系 G>T 变异会产生 FOXA1 结合位点,并上调 RAB31 的表达,从而在 BC 的发展中发挥重要作用。我们的结果强调了调节遗传变异在 BC 发展中的重要性,通过影响 TF-DNA 相互作用提供了确定因果遗传变异的关键见解。