Integrating lifecourse approaches, biologic and digital phenotypes in support of heart and lung disease epidemiologic research

整合生命历程方法、生物学和数字表型以支持心肺疾病流行病学研究

• 批准号: 10487390
• 负责人: Jorge Eduardo Chavarro
• 金额: $ 250.18万
• 依托单位: HARVARD SCHOOL OF PUBLIC HEALTH
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-02-08 至 2026-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10487390
• 关键词: Address; Adult; Adult Children; Affect; African American population; Age; Air Pollution; Anthropometry; Area; Asthma; Behavioral; Big Data; Biological; Biological Markers; Biological Specimen Banks; Blood Pressure; Cardiovascular Diseases; Cause of Death; Cellular Phone; Cessation of life; Characteristics; Child; Chronic Obstructive Pulmonary Disease; Clinical; Collection; Communities; Coronary heart disease; DNA; Data; Data Collection; Databases; Diet; Dimensions; Disease; Dyslipidemias; Educational Materials; Electronic cigarette; Environmental Exposure; Epidemiology; Erythrocytes; Etiology; Event; Exposure to; Food; Food Access; Future; Generations; Genes; Geographic Distribution; Geographic Information Systems; Geography; Gestational Diabetes; Goals; Green space; Health; Health Care Costs; Heart Diseases; Hispanic Americans; Hypertension; Individual; Infrastructure; Infrastructure Activities; Life; Life Cycle Stages; Link; Lung diseases; Maintenance; Marijuana; Measurement; Measures; Medical History; Medical Records; Minority; Morbidity - disease rate; Mothers; Nurses' Health Study; Obesity; Obstructive Lung Diseases; Online Systems; Participant; Periodicals; Persons; Phenotype; Physical activity; Plasma; Pregnancy; Pregnancy Complications; Premature Birth; Process; Protocols documentation; Questionnaires; RNA; Recording of previous events; Reporting; Research; Research Support; Resolution; Resources; Risk; Risk Factors; Rural Population; Sleep; Socioeconomic Status; Specimen; Stroke; Technology; Temperature; Total Lung Capacity; Translational Research; Triad Acrylic Resin; United States; Update; Urine; Visualization software; Woman; Women' s Health; analytical tool; attributable mortality; base; biobank; built environment; cardiorespiratory fitness; cardiovascular health; cardiovascular risk factor; cohort; data infrastructure; data repository; data resource; data sharing; digital; disability; disorder risk; epidemiology study; ethnic minority; excessive weight gain; follow-up; frontier; innovation; interest; intergenerational; lifestyle factors; lung health; men; mobile computing; mortality; novel; offspring; pregnancy disorder; racial and ethnic; reproductive; spatiotemporal; stool sample

PROJECT SUMMARY Increasing evidence suggests that early life and reproductive events, including specific pregnancy complications, predict future health risks including cardiovascular (CVD) risk factors (e.g., dyslipidemia, hypertension, obesity), clinical CVD events, and obstructive lung disease. Similarly, increasing evidence suggests that exposures during pregnancy may affect offspring’s cardiovascular and lung health throughout life. In this application, we propose to strengthen the infrastructure necessary to collect data on traditional and emerging risk factors for heart and lung diseases and to document the occurrence of these conditions within three related cohorts: the Nurses’ Health Study II (NHS-II), the Nurses’ Health Study 3 (NHS3), and the Growing Up Today Study (GUTS). These cohorts collectively follow 188,698 individuals including more than 14,000 minority participants with large numbers of African Americans and Hispanic Americans. The cohorts also follow more than 65,000 mother-adult offspring pairs, over 13,000 grandmother-mother-adult child triads and over 16,000 sib-groups; resources that facilitate research aimed at identifying inter-generational risk factors for CVD and obstructive lung diseases. Women in the two younger cohorts (NHS3 and GUTS) are in the middle of the reproductive years, resulting in the accrual of approximately 1,000 new pregnancies per year. Furthermore, study participants are broadly distributed across the United States, giving us the ability to address questions regarding rural populations including areas considered to be Frontier. The proposed infrastructure activities in these three related cohorts will ultimately support research aimed at identifying intergenerational and early life risk factors for CVD (CHD, stroke) and obstructive lung disease (COPD and asthma), as well as of relevant biologic intermediate endpoints, from genes to geography. We will focus our efforts in four areas: 1) the maximization of existing resources – including updating and maintenance of food composition databases and geographically-linked exposure data based on geographical information systems (GIS), 2) the collection of biological specimens tied to an in-person collection of blood pressure and anthropometric data, 3) the expansion of web-based mobile technology and “Big Data” capabilities for the cohorts, and 4) strengthening our capability for data sharing. The ability to combine biomarker data, state-of- the-art mobile high-resolution measures, and traditional epidemiologic risk factor data, collected across generations and throughout the life-course in three related cohorts will enable us and others to conduct powerful etiologic and translational research. Our goal is to maintain the quality of follow-up and associated data, as well as to broaden the technologies that would provide innovative dimensions to the cohort for novel scientific discovery.

项目总结 越来越多的证据表明，早期生活和生殖事件，包括特定的怀孕 并发症，预测未来的健康风险，包括心血管(CVD)危险因素(例如，血脂异常， 高血压、肥胖)、临床心血管事件和阻塞性肺疾病。同样，越来越多的证据 表明怀孕期间的暴露可能会影响后代的心血管和肺部健康。 生活。在这项应用中，我们建议加强必要的基础设施，以收集关于传统和 新出现的心肺疾病危险因素，并记录这些情况在 三个相关队列：护士健康研究II(NHS-II)、护士健康研究3(NHS3)和 今日成长研究(Guts)。这些队列总共跟踪了188,698人，其中包括超过 14,000名少数族裔参与者，其中有大量非裔美国人和西班牙裔美国人。这群人 还关注了超过65,000对母亲-成年后代，超过13,000个祖母-母亲-成年儿童三合一 和16,000多个兄弟姐妹组；促进旨在确定代际风险的研究的资源 心血管疾病和阻塞性肺疾病的相关因素。两个较年轻的人群(NHS3和Guts)中的女性 在生殖年度中期，每年约有1 000例新怀孕。 此外，研究参与者广泛分布在美国各地，使我们能够 解决有关农村人口的问题，包括被认为是边境地区的问题。建议数 这三个相关群体的基础设施活动最终将支持旨在确定 心血管疾病(CHD、中风)和阻塞性肺疾病(COPD和 哮喘)，以及相关的生物中间终点，从基因到地理。我们将专注于我们的 四个领域的努力：1)最大限度地利用现有资源--包括更新和维持粮食 基于地理信息系统的合成数据库和地理关联暴露数据 (Gis)，2)收集与亲自采集血压和 人体测量数据，3)基于Web的移动技术的扩展和用于 4)加强数据共享能力。能够将生物标记物数据、状态 最先进的移动高分辨率测量方法和传统的流行病学风险因素数据，收集于 世世代代和在三个相关群体的整个生命过程中将使我们和其他人能够 强大的病因学和翻译研究。我们的目标是保持跟踪和关联的质量 数据，以及扩大将为小说队列提供创新维度的技术 科学发现。