Core 1: Biostatistics & Bioinformatics Core

摘要/摘要 生物统计和生物信息学核心(BBC)的目标是为孢子项目提供支持， 其他核心，以及通过发展研究计划或职业生涯资助的研究人员 研究设计和数据管理、处理、集成和数据管理的所有方面的增强计划 分析。这项建议侧重于少数群体健康和癌症健康公平的转化研究 夏威夷的不同人群，特别是研究不足的亚裔美国人、夏威夷原住民和太平洋人 岛民(AANHPI)团体。项目1将重点放在预防肝细胞癌上，夏威夷的 AANHPI人群处于高危状态，通过在随机临床试验中评估间歇性 能量限制对降低非酒精性脂肪性肝病(NAFLD)患者肝脏脂肪和肝脏硬度的作用 预测的纤维化阶段为2+。项目2的重点是减少夏威夷原住民患肺癌的差异 通过阐明筛查和生物学检查的行为方面和改进的指南 这种恶性肿瘤在这一人群中的特征。项目3将重点放在预防乳腺癌方面 AANHPI妇女通过校正和添加乳房X光摄影的放射学特征，与预后相关 对于常用的乳腺癌风险模型(例如，Gail模型)，也存在与肥胖和肥胖相关的风险。英国广播公司由一个团队组成 在生物统计学和生物信息学方面经验丰富，在多种族人口中进行翻译研究。提供 通过将专业知识集中在核心而不是 单独的项目，因为这将导致想法和工具的共享。核心的目标是：1)提供支持 用于项目的数据管理和集成，同时确保数据质量和安全流程 2)为每个研究项目制定和执行研究设计和分析计划， 与项目负责人合作，以及3)促进孢子研究人员之间和与 研究社区。我们将确保最适当和最严格的数据收集、管理和 使用分析方法，数据和物质的流动是无缝的，对数据的要求 治理、安全和共享都得到了满足。此外，我们还将探索新的技术，如集成 结合组学数据的聚类和贝叶斯方法，以更好地理解潜在的机制。 BBC作为这些综合活动的单一中心，将提供效率、一体化和科学性 严谨是以其他方式无法获得的。

SUMMARY / ABSTRACT The goal of the Biostatistics and Bioinformatics Core (BBC) is to provide support to the SPORE projects, other cores, as well as the researchers funded through the Developmental Research Program or Career Enhancement Program in all aspects of study design and data management, processing, integration and analysis. This proposal focuses on translational research in minority health and health equity in cancer for the diverse populations of Hawaii, particularly the understudied Asian American, Native Hawaiian and Pacific Islander (AANHPI) groups. Project 1 will focus on prevention of hepatocellular carcinoma, for which Hawaii’s AANHPI populations are at high risk, by evaluating, in a randomized clinical trial, the efficacy of an intermittent energy restriction on reducing liver fat and liver stiffness in non-alcoholic fatty liver disease (NAFLD) with predicted fibrosis stage 2+. Project 2 will focus on reducing the disparity for lung cancer among Native Hawaiians through elucidation of the behavioral aspects of, and improved guidelines for, screening and the biological characteristics of this malignancy in this population. Project 3 will focus on breast cancer prevention among AANHPI women through calibration and addition of mammography radiomic features, associated with prognosis and adiposity, to commonly used breast cancer risk models (e.g., Gail model). The BBC is staffed by a team experienced in biostatistics and bioinformatics for translational research in multiethnic populations. Provision of the highest quality support will be facilitated by having the expertise concentrated in the Core rather than in individual projects, as this will lead to sharing of ideas and tools. The aims of the core are: 1) to provide support for data management and integration for the projects, while ensuring data quality and security processes are incorporated, 2) to develop and execute study design and analysis plans for each of the research projects, in conjunction with Project Leaders, and 3) to facilitate data sharing among SPORE researchers and with the research community. We will ensure that the most appropriate and rigorous data collection, management and analysis approaches are used, that the flow of data and material is seamless, and that requirements for data governance, security, and sharing are met. In addition, we will explore novel techniques, such as integrative clustering and Bayesian methods for combining omics data, to better understand the underlying mechanisms. The BBC as a single locus for these comprehensive activities will provide efficiency, integration and scientific rigor that are not otherwise available.