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Investigations of Gene–Disease Associations: Costs and Benefits of Environmental Data
Journal article   Open access   Peer reviewed

Investigations of Gene–Disease Associations: Costs and Benefits of Environmental Data

Hao Luo, Igor Burstyn and Paul Gustafson
Epidemiology (Cambridge, Mass.), v 24(4), pp 562-568
Jul 2013
PMID: 23676261
url
https://doi.org/10.1097/ede.0b013e3182944dd5View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze) Open

Abstract

Environmental exposure data may improve statistical power in genetic studies when gene–environment interaction is present. However, resources invested in obtaining exposure data could instead be applied to measure disease status and genotype on more subjects. In a cohort-study setting, we consider the tradeoff between measuring only disease status and genotype for a larger study sample and measuring disease status, genotype, and environmental exposure for a smaller sample, under the gene–environment independence assumption in the study population. We focus on the power of tests for gene–disease association, applied in situations where a gene modifies risk of disease due to environmental exposure. Our results are equally applicable to exploratory genome-wide association studies and to more hypothesis-driven candidate gene investigations. We further consider the impact of misclassification for environmental exposures. We identify circumstances under which higher power is achieved via the larger study sample without measurements of environmental exposure.

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Public, Environmental & Occupational Health
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