Recruitment and Data Collection

招募和数据收集

• 批准号: 8374256
• 负责人: Unhee Lim
• 金额: $ 147.47万
• 依托单位: UNIVERSITY OF HAWAII AT MANOA
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8374256
• 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(见说明书)：该项目使用一种创新的方法来研究多种族人群中总体脂和隔室特定体脂与癌症风险的关系。该方案涉及重新联系多种族队列(MEC)研究中的2,000名参与者(10个性别-种族各200名)，以使用全身DXA和腹部MRI直接描述身体脂肪的数量和分布，并获得生物显微镜和问卷数据。将建立包含生活方式行为和血液生化、基因组、代谢组学和肠道微生物组标志的模型，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、腹深和腹部浅层皮下脂肪、肝脏脂肪)的每一种。接下来，这些预测因子作为肥胖表型的替代品，将在嵌套病例对照研究中使用MEC中已有的诊断前生物显微镜和问卷数据，对乳腺癌(n=1217例)和结直肠癌(n=1379例)的相关性进行测试。招募和数据收集核心(核心B)的作用是：1)招募2,000名MEC参与者进行肥胖症表型的横断面研究，并收集数据和血液/粪便样本；2)通过邮寄从另外约4,200名已有GWA型数据的MEC受试者那里收集粪便样本；以及3)检索和运送新收集和以前存储的生物标本，供P01中的四个研究项目进行实验室分析。这项横断面研究的招募工作将在头3.5年进行，涉及两个MEC研究地点之间的密切协调，并得到体脂成像核心(核心C)和数据管理与分析核心(核心D)的协助。夏威夷大学癌症中心将重新联系居住在夏威夷瓦胡岛的1200名年龄在65-70岁之间的日裔美国人、夏威夷原住民和白人。南加州大学将重新联系居住在洛杉矶的800名非洲裔和拉丁裔参与者。这两个网站都可以使用临床研究设施进行数据收集和成像，并且在对MEC人群进行类似方案的研究方面经验丰富。