Data-driven integration of epidemiological and toxicological data to select candidate interacting genes and environmental factors in association with disease

Chirag J. Patel, Rong Chen, Atul J. Butte

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

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.

Original languageEnglish
Article numberbts229
Pages (from-to)i121-i126
JournalBioinformatics
Volume28
Issue number12
DOIs
StatePublished - Jun 2012
Externally publishedYes

Fingerprint

Dive into the research topics of 'Data-driven integration of epidemiological and toxicological data to select candidate interacting genes and environmental factors in association with disease'. Together they form a unique fingerprint.

Cite this