Recruitment and Data Collection

招募和数据收集

• 批准号: 8729309
• 负责人: Unhee Lim
• 金额: $ 119.35万
• 依托单位: UNIVERSITY OF HAWAII AT MANOA
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8729309
• 关键词: Abdomen; African; African American; Behavior; Biochemistry; Blood; Blood Pressure; Blood specimen; Body fat; Breast; California; Cancer Center; Charge; Clinic; Clinical Research; Cohort Studies; Collection; Colorectal Cancer; Complex; Cross-Sectional Studies; Data; Data Analyses; Data Collection; Diagnostic; Dual-Energy X-Ray Absorptiometry; Energy Metabolism; Ethnic group; Faculty; Fasting; Fatty acid glycerol esters; Feces; Funding; Genomics; Genotype; Hawaii; Hawaiian population; Heart Rate; Image; Instruction; Japanese American; Japanese Population; Laboratories; Latino; Life Style; Liver; Location; Los Angeles; MRI Scans; Magnetic Resonance Imaging; Mails; Measurement; Measures; Metabolism; Modeling; Nested Case-Control Study; Obesity; Participant; Phenotype; Population; Process; Program Research Project Grants; Protocols documentation; Questionnaires; Race; Recontacts; Recruitment Activity; Research; Research Project Grants; Resources; Rest; Role; Sampling; Schedule; Shipping; Ships; Site; Testing; United States National Institutes of Health; Universities; Visceral; Visit; aged; biobank; blind; cancer risk; cohort; data management; experience; genome wide association study; innovation; member; metabolomics; microbiome; non-smoker; programs; research facility; sample collection; sex; subcutaneous; success

. PROJECT SUMMARY (See instructions): This program project uses an innovative approach to investigate the association of total and compartment specific body fatness with cancer risk in a multiethnic population. The protocol involves re-contacting 2,000 participants in the Multiethnic Cohort (MEC) Study (200 each in 10 sex-ethnic groups) for direct characterization of body fat amount and distribution using whole-body DXA and abdominal MRI and to obtain biospecimens and questionnaire data. Models that incorporate lifestyle behaviors and markers of blood biochemistry, genomics, metabolomics and the gut microbiome will be built to best predict each of several adiposity phenotypes (total fat mass, trunk-to-periphery fat ratio, visceral fat, deep and superficial abdominal subcutaneous fat, liver fat). Next, these predictors, taken as surrogates for the adiposity phenotypes, will be tested in nested case-control studies for association with breast (n=1,217 cases) and colorectal cancers (n=1,379 cases) using pre-diagnostic biospecimens and questionnaire data that are already available in the MEC. The role of the Recruitment & Data Collection Core (Core B) is: 1) to recruit the 2,000 MEC participants for the cross-sectional study of adiposity phenotypes and to perform the data and blood/stool specimen collection; 2) to collect a stool sample by mail from an additional ~4,200 MEC subjects for whom GWAS genotype data are already available; and 3) to retrieve and ship the newly collected and previously stored biospecimens for the laboratory analyses by the four research projects in the P01. Recruitment for the cross-sectional study will occur during the first 3.5 years and involve close coordination between the two MEC study locations, with the assistance of the Body Fat Compartments Imaging Core (Core C) and the Data Management & Analysis Core (Core D). The University of Hawaii Cancer Center will re-contact 1,200 Japanese American, Native Hawaiian and white cohort members aged 65-70 years residing on Oahu, Hawaii. The University of Southern California will re-contact 800 African American and Latino participants residing in Los Angeles. Both sites have access to a clinical research facility for data collection and imaging, and are highly experienced in conducting studies with similar protocols on the MEC population.

。项目摘要（参见说明）：该计划项目采用创新方法来研究多种族人群中总脂肪和区室特定身体脂肪与癌症风险的关联。该协议涉及重新联系多种族队列 (MEC) 研究的 2,000 名参与者（10 个性别种族群体各 200 名），使用全身 DXA 和腹部 MRI 直接表征身体脂肪量和分布，并获取生物样本和问卷数据。将建立结合生活方式行为和血液生化、基因组学、代谢组学和肠道微生物组标记的模型，以最好地预测几种肥胖表型（总脂肪量、躯干与外周脂肪比率、内脏脂肪、深层和浅层腹部皮下脂肪）脂肪、肝脂肪）。接下来，将使用诊断前生物样本和问卷数据，在巢式病例对照研究中测试这些作为肥胖表型替代物的预测因子与乳腺癌（n=1,217 例）和结直肠癌（n=1,379 例）的关联性。已在 MEC 中提供。招募和数据收集核心（核心 B）的作用是： 1) 招募 2,000 名 MEC 参与者进行肥胖表型的横断面研究，并进行数据和血液/粪便标本收集； 2) 通过邮寄从另外约 4,200 名已获得 GWAS 基因型数据的 MEC 受试者收集粪便样本； 3) 检索并运送新收集的和之前储存的生物样本，供 P01 中的四个研究项目进行实验室分析。横断面研究的招募将在前 3.5 年进行，涉及两个 MEC 研究地点之间的密切协调，并在身体脂肪室成像核心（核心 C）和数据管理与分析核心（核心 D）的协助下进行。夏威夷大学癌症中心将重新联系居住在夏威夷欧胡岛的 1,200 名 65 至 70 岁的日裔美国人、夏威夷原住民和白人群体成员。南加州大学将重新联系居住在洛杉矶的 800 名非裔美国人和拉丁裔参与者。这两个中心都可以使用临床研究设施进行数据收集和成像，并且在使用类似方案对 MEC 人群进行研究方面拥有丰富的经验。