Recruitment and Data Collection

招募和数据收集

• 批准号: 9130769
• 负责人: Unhee Lim
• 金额: $ 21.72万
• 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 2019-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9130769
• 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; 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; gut microbiome; innovation; member; metabolomics; 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.

． 项目概述（见说明）：本项目采用一种创新的方法来调查多种族人群中总脂肪和隔室特异性体脂与癌症风险的关系。该方案涉及重新联系2000名多种族队列（MEC）研究的参与者（10个性别种族组各200名），使用全身DXA和腹部MRI直接表征体脂量和分布，并获得生物标本和问卷调查数据。将建立包括生活方式行为和血液生化标志物、基因组学、代谢组学和肠道微生物组的模型，以最好地预测几种肥胖表型（总脂肪量、躯干与周围脂肪比、内脏脂肪、深层和浅层腹部皮下脂肪、肝脏脂肪）。接下来，将使用MEC中已有的诊断前生物标本和问卷调查数据，在巢式病例对照研究中测试这些预测因子与乳腺癌（n= 1217例）和结直肠癌（n= 1379例）的关联，并将其作为肥胖表型的替代品。招募和数据收集核心（Core B）的作用是：1)招募2000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)通过邮寄方式收集另外约4,200名已获得GWAS基因型数据的MEC受试者的粪便样本；3)回收和运送新收集的和以前储存的生物标本，供P01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，在体脂隔区成像核心（Core C）和数据管理与分析核心（Core D）的协助下。夏威夷大学癌症中心将重新联系居住在夏威夷瓦胡岛65-70岁的1200名日裔美国人、夏威夷原住民和白人队列成员。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。这两个地点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。