DUKE CENTER FOR GEOSPATIAL MEDICINE

该子项目是利用NIH/NCRR资助的中心赠款提供的资源的许多研究子项目之一。子项目和研究者（PI）可能从另一个NIH来源获得了主要资金，因此可以在其他CRISP条目中表示。所列机构为中心，不一定是研究者所在机构。描述（由申请人提供）： 尽管许多疾病受到多种基因-基因和基因-环境相互作用的影响，但人们对遗传和环境因素如何相互作用影响儿童的结果知之甚少。此外，虽然社会心理学理论侧重于社会经济特征如何影响儿童的健康状况，但我们对社会因素如何与遗传和环境因素相互作用以影响儿童福祉的信息很少。因此，解决社会，环境和遗传因素的同时和综合影响的方法是必要的。杜克大学地理空间医学中心的使命是开发系统的、基于空间的方法，用于分析环境、遗传和心理社会领域共同塑造儿童健康和福祉的途径。该中心的具体目标是：1）发展一个跨学科中心，支持研究遗传、环境和社会方面的脆弱性如何结合联合收割机来影响儿童的健康和福祉; 2）促进生物医学、环境卫生、统计学和社会科学项目之间的跨学科研究互动; 3）推进将创新空间分析纳入健康研究的新方法; 4）开发新的和创造性的分析方法，解决空间/时间变化，多重比较，混淆和效果修改; 5）培养年轻学者的研究方法。我们将利用尼古拉斯环境学院、杜克大学医学中心和Trinity艺术与科学学院之间的积极合作关系。我们将使用先进的空间统计方法结合遗传学和基因组学技术，将社会，环境和遗传脆弱性联系起来。使用神经管缺陷作为原型健康终点，我们将开发一个通用框架，用于将这些方法应用于各种健康终点，包括自闭症，哮喘，多动症和肥胖症

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. DESCRIPTION (provided by applicant): Despite an emerging consensus that many diseases are influenced by multiple gene-gene and gene-environment interactions, little is known about how genetic and environmental factors interact to influence outcomes in children. In addition, although psychosocial theory focuses on how socio-economic characteristics influence the health status of children, we have little information about how social factors interact with genetic and environmental factors to affect child well-being. Thus, methods to address the simultaneous and combined influence of social, environmental, and genetic factors are imperative. The mission of Duke''s Center for Geospatial Medicine is to develop systematic, spatially-based methods for analyzing the pathways through which the environment, genetic, and psychosocial domains jointly shape child health and well-being. Specific goals of this Center are to: 1) develop an interdisciplinary center that supports research on how genetic, environmental, and social aspects of vulnerability combine to affect children''''''''s health and well-being; 2) promote interdisciplinary research interactions among programs in biomedicine, environmental health, statistics, and social sciences; 3) advance new methodologies for incorporating innovative spatial analysis into health research; 4) develop new and creative analytic approaches that address spatial/temporal variation, multiple comparisons, confounding, and effect modification; 5) train young scholars in the resulting methods. We will leverage active partnerships among the Nicholas School of the Environment, the Duke University Medical Center, and Trinity College of Arts and Sciences. We will link social, environmental, and genetic vulnerability using advanced spatial statistical approaches in combination with techniques from genetics and genomics. Using neural tube defects as a prototype health endpoint, we will develop a generalized framework for applying these methods to a wide variety of health endpoints, including autism, asthma, ADHD, and obesity