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Ecogeographic genetic epidemiology

✍ Scribed by Chantel D. Sloan; Eric J. Duell; Xun Shi; Rebecca Irwin; Angeline S. Andrew; Scott M. Williams; Jason H. Moore

Publisher: John Wiley and Sons
Year: 2009
Tongue: English
Weight: 214 KB
Volume: 33
Category: Article
ISSN: 0741-0395
DOI: 10.1002/gepi.20386

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

Complex diseases such as cancer and heart disease result from interactions between an individual's genetics and environment, i.e. their human ecology. Rates of complex diseases have consistently demonstrated geographic patterns of incidence, or spatial “clusters” of increased incidence relative to the general population. Likewise, genetic subpopulations and environmental influences are not evenly distributed across space. Merging appropriate methods from genetic epidemiology, ecology and geography will provide a more complete understanding of the spatial interactions between genetics and environment that result in spatial patterning of disease rates. Geographic information systems (GIS), which are tools designed specifically for dealing with geographic data and performing spatial analyses to determine their relationship, are key to this kind of data integration. Here the authors introduce a new interdisciplinary paradigm, ecogeographic genetic epidemiology, which uses GIS and spatial statistical analyses to layer genetic subpopulation and environmental data with disease rates and thereby discern the complex gene‐environment interactions which result in spatial patterns of incidence. Genet. Epidemiol. 2009. © 2008 Wiley‐Liss, Inc.

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