Core 1: Biostatistics & Bioinformatics Core

核心1：生物统计学

• 批准号: 10716157
• 负责人: LYNNE R WILKENS
• 金额: $ 24.94万
• 依托单位: UNIVERSITY OF HAWAII AT MANOA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-19 至 2026-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10716157
• 关键词: Archives; Asian Americans; Attitude; Bayesian Method; Behavioral; Bioinformatics; Biologic Characteristic; Biological Markers; Biometry; Breast Cancer Prevention; Breast Cancer Risk Assessment Tool; Breast Cancer Risk Factor; Calibration; Collection; Communities; Computer software; DNA Methylation; DNA Sequence Alteration; Data; Data Analyses; Data Collection; Data Security; Deposition; Development; Dietary Intervention; Ensure; Equipment and supply inventories; Ethnic Population; Fatty acid glycerol esters; Fibrosis; Funding; Gene Expression; Goals; Guidelines; Hawaii; Individual; Information Systems; Informed Consent; Intention; Liver; Malignant Neoplasms; Malignant neoplasm of lung; Mammography; Manuscripts; Minority Health Research; Modeling; Molecular; Native Hawaiian; Native Hawaiian or Other Pacific Islander; Obesity; Outcome; Pacific Islands; Patients; Performance; Population; Population Heterogeneity; Preparation; Prevalence; Prevention; Primary carcinoma of the liver cells; Process; Prognosis; Randomized; Research; Research Design; Research Personnel; Research Project Grants; Retrieval; Risk; Sampling; Schedule; Security; Structure; Techniques; Tissue Banks; Tissues; Translational Research; Tumor Subtype; Tumor Tissue; Woman; cancer health disparity; cancer risk; career; cohort; computerized data processing; data integration; data management; data quality; data resource; data sharing; database of Genotypes and Phenotypes; design; dietary adherence; dietary restriction; disparity reduction; efficacy testing; experience; genome-wide; health equity; high risk; improved; liver stiffness; lung cancer screening; malignant breast neoplasm; mammography registry; methylation biomarker; minority health; minority health disparity; multi-ethnic; non-alcoholic fatty liver disease; novel; programs; radiomics; randomized, clinical trials; recruit; repository; risk prediction model; screening; sharing platform; tool; tumor; tumor registry

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.

摘要/摘要