Genome-wide interactions with diet patterns on long-term weight change

全基因组与饮食模式的相互作用对长期体重变化的影响

基本信息

批准号：
8805017
负责人：
Lu Qi
金额：
$ 20.19万
依托单位：
HARVARD SCHOOL OF PUBLIC HEALTH
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-12-01 至 2015-08-15
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8805017
关键词：
Accounting Address Affect Atherosclerosis Body Weight Body Weight Changes Body mass index Cardiovascular Diseases Collaborations Communities Data Development Diabetes Mellitus Diet Diet Modification Dietary Factors Dietary Intervention Dietary Practices Dietary intake Environment Environmental Risk Factor Epidemic Epidemiology Etiology Food Food Interactions Framingham Heart Study Genes Genome Genome Scan Genomics Genotype Goals Health Health Professional Investigation Life Life Style Measures Methodology Methods Modeling Nurses&apos Health Study Nutrient Obesity Outcome Outcome Measure Pattern Play Population Positioning Attribute Prevalence Prevention Procedures Public Health Qi Regulation Reporting Research Research Personnel Resources Risk Risk Factors Role Solid Testing Time United States Variant Waist-Hip Ratio Weight Gain Weight maintenance regimen Woman base cardiovascular disorder risk clinical application cohort cost design experience follow-up gene environment interaction genetic epidemiology genetic variant genome-wide genome-wide analysis genomic variation improved indexing insight men modifiable risk novel nutrition obesity prevention obesity treatment prospective public health relevance response sedentary lifestyle statistics sugar sweetened beverage trait tv watching

项目摘要

DESCRIPTION (provided by applicant): Obesity and weight gain are major modifiable risk factors for cardiovascular disease (CVD), and the prevalence of obesity has been increasing alarmingly in the past decades. Diet is among the most important environmental factors that may interact with genomic variations in affecting obesity epidemic. However, no genome-wide study on gene-diet interactions has been reported, and previous gene-diet interaction studies are severely flawed in design and analytic strategies. The goal of this application is to conduct novel, genome-wide analyses of gene-diet interactions on long-term changes in obesity traits (body mass index, BMI; and waist to hip ratio, WHR) in the period of time when obesity rapidly increased in the United States (~1980-2000), and apply state-of-the-art approaches to overcome the major challenges in the field. We will use the newly- developed 'variance prioritization' procedure to select genetic variants sensitive to interactions with environment (Ai 1); and examine interactions between the prioritized genetic variants and overall diet patterns/quality indices in five prospective cohorts including in total ~59,000 US men and women from the DietGen and CHARGE Consortia (Aim 2). Because information of dietary intakes, obesity traits, and genome- wide scans are available in all the cohorts, the proposed project will be conducted in an extremely cost-efficient manner. We have assembled a solid group of experienced collaborators with expertise in epidemiology, genetics, statistics, gene-environment interactions, and nutrition. We believe that findings of this unparalleled study will provide a unique opportunity to identify novel gene-diet interactions on obesity epidemic, and promote diet modifications on prevention and treatment of obesity and CVD.

描述（由申请人提供）：肥胖和体重增加是心血管疾病（CVD）的主要可修改风险因素，在过去的几十年中，肥胖症的患病率一直令人震惊。饮食是可能与基因组变异相互作用的最重要的环境因素之一。但是，尚无关于基因组相互作用的全基因组研究的研究，并且以前的基因 - 迪埃特相互作用研究在设计和分析策略中存在严重缺陷。该应用的目的是在肥胖症的长期变化（体重指数，BMI；腰部与髋关节，WHR）的长期变化中对基因 - 迪埃特相互作用进行新颖的，全基因组的分析，而肥胖症的时间很快就会在美国迅速增加（〜1980-2000），并在现行的主要方面越来越多地提高了主要的领域。我们将使用新开发的“方差优先级”程序来选择对与环境相互作用敏感的遗传变异（AI 1）；并检查五个前瞻性队列中的优先遗传变异与总体饮食模式/质量指数之间的相互作用，包括来自Dietgen和Charge Consortia的总共约59,000名美国男性和女性（AIM 2）。由于饮食摄入量，肥胖性状和基因组范围的信息都可以在所有同类中获得，因此拟议的项目将以极其成本效益的方式进行。我们组建了一组经验丰富的合作者，具有流行病学，遗传学，统计，基因环境相互作用和营养方面的专业知识。我们认为，这项无与伦比的研究的发现将提供一个独特的机会，以识别有关肥胖流行的新型基因 - 基因相互作用，并促进对肥胖和CVD的预防和治疗的饮食修饰。