Journal
BIOINFORMATICS
Volume 28, Issue 12, Pages I121-I126Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bts229
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Funding
- Lucile Packard Foundation for Children's Health and National Library of Medicine [R01 LM009719]
- National Institute of General Medical Sciences [R01 GM079719]
- National Center for Research Resources
- National Center for Advancing Translational Sciences, National Institutes of Health [UL1 RR025744]
- Direct For Biological Sciences
- Div Of Biological Infrastructure [1241290] Funding Source: National Science Foundation
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Motivation: Complex diseases, such as Type 2 Diabetes Mellitus (T2D), result from the interplay of both environmental and genetic factors. However, most studies investigate either the genetics or the environment and there are a few that study their possible interaction in context of disease. One key challenge in documenting interactions between genes and environment includes choosing which of each to test jointly. Here, we attempt to address this challenge through a data- driven integration of epidemiological and toxicological studies. Specifically, we derive lists of candidate interacting genetic and environmental factors by integrating findings from genome- wide and environment- wide association studies. Next, we search for evidence of toxicological relationships between these genetic and environmental factors that may have an etiological role in the disease. We illustrate our method by selecting candidate interacting factors for T2D.
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