DUKE CENTER FOR GEOSPATIAL MEDICINE

杜克大学地理空间医学中心

• 批准号: 7171446
• 负责人: Marie Lynn Miranda
• 金额: $ 59.45万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-01 至 2006-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7171446
• 关键词: biomedical facility; child (0-11); clinical research; congenital nervous system disorder; environmental health; functional /structural genomics; genetics; geographic site; health; health science research support; human data; information systems; interdisciplinary collaboration; method development; quality of life; social psychology; statistics /biometry; training

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.

描述（由申请人提供）：