Inherited genetic factors in breast cancer predisposition and tumor presentation

乳腺癌易感性和肿瘤表现的遗传因素

• 批准号: 10223362
• 负责人: Julie Dutil
• 金额: $ 39.2万
• 依托单位: PONCE SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10223362
• 关键词: 10q21; Admixture; African; African American; Bioinformatics; Biological; Breast Cancer Genetics; Breast Cancer Prevention; Breast Cancer Risk Factor; California; Cancer Prognosis; Characteristics; Chromosome Mapping; Classification; Data; Diagnosis; Disease; Epithelial; Equilibrium; Estrogens; European; Frequencies; Funding; Gene Frequency; Genes; Genetic; Genetic Predisposition to Disease; Genetic Variation; Genetic study; Genome; Genomic Segment; Genomics; Goals; Growth Factor; Growth Factor Receptors; High Prevalence; Hispanic Americans; Hispanics; Human; Incidence; Individual; Infrastructure; Inherited; Intervention; Latina; Lead; Linkage Disequilibrium; Mammary Neoplasms; Manuscripts; Molecular Genetics; Mutation; Native American Ancestry; Native Americans; Outcome; PIK3CA gene; Piedra; Population; Positioning Attribute; Predisposition; Preparation; Prevalence; Progesterone; Prognosis; Puerto Rican; Puerto Rico; Race; Regimen; Reporting; Research Personnel; Risk; Risk Reduction; Role; SNP array; Sampling; San Francisco; Signal Transduction; Somatic Mutation; Statistical Study; Susceptibility Gene; TP53 gene; Time; Training; Translating; Treatment Efficacy; Variant; Vision; Woman; Work; admixture mapping; burden of illness; cancer predisposition; cancer subtypes; career; disorder risk; experience; falls; genetic association; genetic makeup; genetic risk factor; genetic variant; genome wide association study; genomic data; health disparity; improved; individualized prevention; innovation; malignant breast neoplasm; molecular subtypes; multidisciplinary; mutational status; next generation sequencing; personalized medicine; precision medicine; rare variant; receptor expression; risk variant; targeted sequencing; tumor

ABSTRACT Health disparities in the incidence and prognosis of breast cancer (BC) in African American and Hispanic populations have been at least partly attributed to genetic factors that distinguish these populations. Our long-term objective is to understand how inter-population and inter-individual genetic variations modulate BC risk. In our previous work, we have used admixture mapping in the population of Puerto Rico to identify regions of the genome predisposing to BC. This has led to the identification of three susceptibility loci (7p15.3, 10q21.1 and 14q24.1), two of which have not been reported before. Interestingly, African ancestry at the 10q21.1 locus was associated with an increase risk of triple negative negative tumors, which lack the expression of the estrogen (ER), progesterone (PR) and human epithelial growth factor (HER2) receptors and is known to be associated with a poor prognosis. In this renewal application, we propose to pursue this work as follow. In Specific Aim #1, we will identify common and rare genetic variants within the admixture signals by association analysis of a dense array of single nucleotide polymorphisms (SNPs) and targeted sequencing. In Specific Aim #2, we propose to identify the genomic regions involved in determining the somatic characteristics of breast tumors by conducting admixture mapping of breast tumors stratified by expression subtype and common mutation status. In Specific Aim #3, we will further explore the genetic factors involved in BC susceptibility in Puerto Rico by performing a replication study of known genome-wide association study (GWAS) loci. This application proposes an integrated and innovative strategy to improve our understanding of the role of genetics in BC and it targets a Hispanic population, which is often underrepresented in genetic and genomics studies. With the discovery of common genetic variants that may cumulatively identify the extremes of the risk distribution, one can begin to envision precision prevention of breast cancer by balancing the level of risk with appropriate risk reduction interventions. The results from the proposed study can contribute importantly to this goal. The proposed project is expected to have a positive impact on the PI's career by providing the basis for the preparation of high quality manuscripts that will lead to R-type funding. Dr. Dutil is well trained in molecular genetics and genomics and is surrounded by a strong multidisciplinary team: Dr. Massey is an expert in bioinformatics applied to genomic data; Dr. Ziv is a leader in the field of statistical genetics and admixture mapping; and Dr. Fejerman is a pioneer in using BC admixture and GWAS in Latina populations.

摘要 非裔美国人和非裔美国人乳腺癌发病率和预后的健康差异 西班牙裔人口至少部分归因于区分这些人的遗传因素 人口。我们的长期目标是了解种群间和个体间的遗传 变异会调节BC风险。在我们以前的工作中，我们使用了混合映射在 波多黎各确定易患BC的基因组区域。这导致了对 3个易感基因座(7p15.3、10q21.1和14q24.1)，其中两个以前未见报道。 有趣的是，10q21.1基因座上的非洲血统与增加三倍的风险有关 阴性肿瘤，缺乏雌激素(ER)、孕激素(PR)和 人上皮生长因子(HER2)受体，已知与不良预后有关。 在本次续展申请中，我们建议开展以下工作。在具体目标1中，我们将确定 通过密集数组的关联分析混合信号中常见和罕见的遗传变异 单核苷酸多态(SNPs)和靶向测序。在具体目标2中，我们建议 通过以下方法确定决定乳腺肿瘤躯体特征的基因组区域 根据表达亚型和常见突变对乳腺肿瘤进行混合标测 状态。在具体目标#3中，我们将进一步探讨与BC易感性有关的遗传因素。 波多黎各通过对已知的全基因组关联研究(GWAS)基因座进行复制研究。 此应用程序提出了一种集成和创新的策略，以提高我们对角色的理解 它针对的是西班牙裔群体，而这一群体在遗传和 基因组学研究。随着常见基因变异的发现，这些变异可能累积地识别 在风险分布的极端情况下，人们可以开始设想通过以下方式精确预防乳腺癌 通过适当的降低风险干预措施来平衡风险水平。建议的结果 学习可以对这一目标做出重要贡献。预计拟议中的项目将产生积极影响 关于PI的职业生涯，为准备高质量的手稿提供基础，这将导致 R型基金。杜蒂尔博士在分子遗传学和基因组学方面训练有素，周围有一位 强大的多学科团队：梅西博士是应用于基因组数据的生物信息学专家；齐夫博士 是统计遗传学和混合图谱领域的领先者；而费杰曼博士是 在拉丁裔人群中使用BC混合物和GWA。