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

National Institute of Health (NIH)
National Center for Research Resources (NCRR)
Exploratory Grants (P20)
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Special Emphasis Panel (ZRR1-BT-8 (01))
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Duke University
Schools of Earth Sciences/Natur
United States
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Zhu, Bin; Ashley-Koch, Allison E; Dunson, David B (2013) Generalized admixture mapping for complex traits. G3 (Bethesda) 3:1165-75
Zhu, Bin; Dunson, David B; Ashley-Koch, Allison E (2012) Adverse subpopulation regression for multivariate outcomes with high-dimensional predictors. Stat Med 31:4102-13
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Boyles, Abee L; Billups, Ashley V; Deak, Kristen L et al. (2006) Neural tube defects and folate pathway genes: family-based association tests of gene-gene and gene-environment interactions. Environ Health Perspect 114:1547-52