DNA Methylation Markers, Genes and Breast Cancer Risk

项目总结 全基因组关联研究已确定了约200个相关遗传基因座的常见变异 有患乳腺癌的风险。然而，将这些发现转化为疾病预防和治疗是困难的。 因为这些基因座的致病基因和潜在机制在很大程度上是未知的。越来越多的证据 这表明表观遗传调控可能在遗传变异和疾病之间的因果路径上。 DNA甲基化是最常见和最重要的表观遗传修饰之一，在 癌症的发展。然而，几乎不可能收集诊断前的乳腺组织来描述 来自大量参与者的甲基组。在这里，我们提出了一种新的组学方法：甲基化- 使用基因工具的广泛关联研究(Mewas)。在目标1中，我们将建立特定于种族的预测 600例无癌新鲜冷冻乳房样本的全基因组甲基化和基因数据模型 非洲、亚洲和欧洲血统的妇女(每个种族200人)。然后，这些模型将应用于 Gwas数据来自三个大型财团，包括约123,000例病例和约106,000例欧洲对照，约25,000例 亚裔病例和约25,000名对照--非洲血统约20,000例病例和约20,000名对照 甲基化水平。基因预测的甲基化水平将被测试与乳腺癌有关 总体而言，由雌激素受体和HER2状态决定。在目标2中，我们将执行一系列综合泛函 潜在甲基化位点和潜在靶基因的功能评价分析 这些甲基化位点。在目标3中，我们将选择前20个甲基化位点及其目标基因进行体外研究 功能分析，以评估它们对与癌症生物学相关的主要细胞功能的影响。考虑到强者 试点数据，来自三大基因财团的独特资源，以及我们团队广泛的专业知识和 凭借丰富的经验，我们在开展该项目方面具有得天独厚的优势。这些发现将极大地改善我们的 了解乳腺癌发病的遗传学和生物学基础，并促进翻译 基因发现用于预防和治疗。

PROJECT SUMMARY Genome-wide association studies (GWAS) have identified common variants in ~200 genetic loci associated with breast cancer risk. However, it is difficult to translate these findings to disease prevention and treatment because causal genes and underlying mechanisms in these loci are largely unknown. Increasing evidence suggests that epigenetic regulation may be on the causal pathway between genetic variants and diseases. DNA methylation, one of the most frequent and important epigenetic modifications, plays a crucial role in cancer development. However, it is almost impossible to collect pre-diagnostic breast tissues to profile the methylome from a large number of participants. Herein, we propose a novel -omics approach: a methylation- wide association study (MeWAS) using genetic instruments. In Aim 1, we will build race-specific prediction models using genome wide methylation and genetic data in fresh-frozen breast samples from 600 cancer-free women of African-, Asian- and European- ancestry (200 per race). These models will then be applied to the GWAS data from three large consortia, including ~123,000 cases and ~106,000 controls of European, ~25,000 cases and ~25,000 controls of Asian-, ~20,000 cases and ~20,000 controls of African- ancestry to impute methylation levels. The genetically predicted methylation levels will be tested in association with breast cancer overall and by estrogen receptor and HER2 status. In Aim 2, we will perform a series of integrative functional analyses to evaluate the functions of promising methylation sites and the potential target genes regulated by these methylation sites. In Aim 3, we will select the top 20 methylation sites and their target genes for in vitro functional assays to assess their influence on major cell functions related to cancer biology. Given the strong pilot data, unique resources from three large genetic consortia, and our team's extensive expertise and experience, we are uniquely positioned to conduct this project. The findings will greatly improve our understanding of the genetic and biological basis of breast cancer pathogenesis and facilitate the translation of genetic findings to prevention and treatment.