Recruitment and Data Collection

招募和数据收集

• 批准号: 8565876
• 负责人: Unhee Lim
• 金额: $ 123.45万
• 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/8565876
• 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（请参阅说明）：该计划项目使用一种创新的方法来调查多种族人口中总体和车厢的特定身体脂肪与癌症风险的关联。该协议涉及重新连接2,000名参与者（MEC）研究（MEC中有200个性别族群中的200个），以直接表征体内脂肪的数量和使用全身DXA和腹部MRI分布，并获得生物测量和问卷数据。将建立结合血液生物化学，基因组学，代谢组学和肠道微生物组的生活方式行为和标志的模型，以最好地预测几种肥胖表型中的每一个（总脂肪质量，躯干与腹部脂肪比，内脏脂肪，深层脂肪，深层和腹部腹部和腹部腹部皮下脂肪，Liver脂肪）。接下来，这些预测因子将作为肥胖表型的替代物，将在嵌套的病例对照研究中进行与乳腺癌（n = 1,217例）和结直肠癌（n = 1,379例）相关的研究。招聘和数据收集核心（Core 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，并执行数据以及血液/粪便标本的收集； 2）通过邮件收集粪便样本，从额外的〜4,200个MEC受试者中，已经为其提供了GWAS基因型数据； 3）在P01中的四个研究项目中检索并运送新收集的和以前存储的生物测量进行实验室分析。横断面研究的招聘将在最初的3。5年内进行，并在两个MEC研究地点之间进行密切协调，并在体内脂肪室成像核心（Core C）和数据管理与分析核心（Core D）的帮助下进行密切协调。夏威夷大学癌症中心将重新接触1,200名日裔美国人，夏威夷本地和白人队列成员，居住在夏威夷瓦胡岛的65-70岁。南加州大学将重新连接800名居住在洛杉矶的非裔美国人和拉丁裔参与者。这两个地点都可以使用用于数据收集和成像的临床研究机构，并且在对MEC人群的协议进行类似方案的研究中经验丰富。